供应链管理机器学习的全球市场

预计到 2030 年，全球供应链管理机器学习市场规模将达到 87 亿美元

2024年，全球供应链管理机器学习市场规模估计为21亿美元，预计2024年至2030年期间的复合年增长率将达到26.9%，到2030年将达到87亿美元。本报告分析的细分市场之一「美国零件」预计复合年增长率为23.8%，到分析期间结束时规模将达到51亿美元。服务零件细分市场在分析期间的复合年增长率预计将达到32.5%。

美国市场规模估计为 5.492 亿美元，中国市场预计复合年增长率为 25.7%

预计2024年，美国供应链管理机器学习市场规模将达5.492亿美元。作为世界第二大经济体，中国市场规模预计到2030年将达到13亿美元，在2024-2030年的分析期间内，复合年增长率为25.7%。其他值得关注的区域市场包括日本和加拿大，预计在分析期间内，这两个市场的复合年增长率分别为24.2%和23.6%。在欧洲，预计德国市场的复合年增长率约为18.9%。

全球供应链管理机器学习市场－主要趋势与驱动因素摘要

为什么机器学习在供应链管理上越来越受欢迎

由于全球供应链中断、需求波动以及客户对快速高效交付的期望不断提高，供应链管理变得越来越复杂。机器学习正在透过提供即时洞察、改进需求预测和优化存量基准来改变供应链营运。随着电子商务、即时生产和多通路分销模式的兴起，企业正在利用人工智慧分析来提高供应链可视性并最大限度地降低风险。

创新如何推动供应链管理中的机器学习表现？

人工智慧分析、云端运算和自动化技术的进步，正在使供应链更具韧性和敏捷性。机器学习演算法用于预测分析，以预测需求波动、检测异常并优化仓库存量基准。人工智慧主导的路线优化工具正在提高物流效率、降低运输成本并提高最后一英里交付的准确性。与区块链整合的人工智慧解决方案也提高了供应链透明度，实现了从製造商到最终消费者的货物即时追踪。

市场驱动因素有哪些？

全球供应链日益复杂，消费者对更快交付的期望不断提升，以及改善风险管理的需求，是推动市场成长的关键因素。新冠疫情进一步加速了人工智慧供应链解决方案的采用，因为企业正在努力减少中断并提高业务效率。此外，永续性问题和监管合规要求也促使企业采用人工智慧驱动的解决方案，以优化能源消耗并减少废弃物。

存在哪些挑战和未来机会？

挑战包括人工智慧实施高成本、供应链网路资料整合问题以及网路安全风险。然而，在扩展人工智慧驱动的供应链风险管理解决方案、开发用于自动化决策的自学习演算法以及采用人工智慧驱动的永续性追踪工具方面，也存在着机会。人工智慧在自主仓库管理、机器人供应链营运和人工智慧主导的筹资策略的持续进步，可能会进一步彻底改变供应链管理。

部分

元件（软体元件、服务元件）、配置（云端基础的配置、本地配置）、组织（大型企业、中小型企业）、应用程式（需求预测应用程式、供应商关係管理应用程式、风险管理应用程式、产品生命週期管理应用程式、销售和业务计画应用程式、其他应用程式）

受访公司范例

• Accenture plc
• Aera Technology
• Amazon Web Services（AWS）
• Blue Yonder
• Coupa Software
• DataArt
• Flowspace
• FourKites
• IBM Corporation
• Lokad
• Microsoft Corporation
• Noodle.ai
• Oracle Corporation
• Osa Commerce
• Project44
• Samsara
• SAP SE
• Shipsy
• Shipwell
• Transmetrics

人工智慧集成

全球产业分析师利用可操作的专家内容和人工智慧工具改变市场和竞争情报。

Global Industry Analysts 没有查询通用的 LLM 或特定产业的SLM，而是建立了一个从世界各地的专家收集的内容库，其中包括视频录像、博客、搜寻引擎研究以及大量的公司、产品/服务和市场数据。

关税影响係数

全球产业分析师根据公司总部所在国家、製造地和进出口（成品和原始设备製造商）情况预测其竞争地位的变化。这种复杂而多面的市场动态预计将以多种方式影响竞争对手，包括销货成本(COGS) 上升、盈利下降、供应链重组以及其他微观和宏观市场动态。

目录

第一章调查方法

第二章执行摘要

• 市场概览
• 主要企业
• 市场趋势和驱动因素
• 全球市场展望

第三章市场分析

• 美国
• 加拿大
• 日本
• 中国
• 欧洲
• 法国
• 德国
• 义大利
• 英国
• 其他欧洲国家
• 亚太地区
• 其他地区

第四章 比赛

Global Machine Learning in Supply Chain Management Market to Reach US$8.7 Billion by 2030

The global market for Machine Learning in Supply Chain Management estimated at US$2.1 Billion in the year 2024, is expected to reach US$8.7 Billion by 2030, growing at a CAGR of 26.9% over the analysis period 2024-2030. Software Component, one of the segments analyzed in the report, is expected to record a 23.8% CAGR and reach US$5.1 Billion by the end of the analysis period. Growth in the Services Component segment is estimated at 32.5% CAGR over the analysis period.

The U.S. Market is Estimated at US$549.2 Million While China is Forecast to Grow at 25.7% CAGR

The Machine Learning in Supply Chain Management market in the U.S. is estimated at US$549.2 Million in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$1.3 Billion by the year 2030 trailing a CAGR of 25.7% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 24.2% and 23.6% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 18.9% CAGR.

Global Machine Learning in Supply Chain Management Market - Key Trends & Drivers Summarized

Why Is Machine Learning in Supply Chain Management Gaining Popularity?

Supply chain management is becoming increasingly complex due to global disruptions, fluctuating demand, and increasing customer expectations for fast and efficient deliveries. Machine learning is transforming supply chain operations by providing real-time insights, improving demand forecasting, and optimizing inventory levels. With the rise of e-commerce, just-in-time manufacturing, and multi-channel distribution models, businesses are leveraging AI-powered analytics to enhance supply chain visibility and minimize risks.

How Are Innovations Enhancing the Performance of Machine Learning in Supply Chain Management?

Advancements in AI-driven analytics, cloud computing, and automation are making supply chains more resilient and agile. Machine learning algorithms are being used for predictive analytics to anticipate demand fluctuations, detect anomalies, and optimize warehouse inventory levels. AI-driven route optimization tools are improving logistics efficiency, reducing transportation costs, and enhancing last-mile delivery accuracy. Blockchain-integrated AI solutions are also improving supply chain transparency, enabling real-time tracking of goods from manufacturers to end consumers.

What Are the Key Market Drivers?

The increasing complexity of global supply chains, rising consumer expectations for faster deliveries, and the need for improved risk management are key factors driving market growth. The COVID-19 pandemic has further accelerated the adoption of AI-powered supply chain solutions as companies seek to mitigate disruptions and enhance operational efficiency. Additionally, sustainability concerns and regulatory compliance requirements are pushing companies to adopt AI-driven solutions that optimize energy consumption and reduce waste.

What Challenges and Future Opportunities Exist?

Challenges include the high cost of AI implementation, data integration issues across supply chain networks, and cybersecurity risks. However, opportunities exist in the expansion of AI-driven supply chain risk management solutions, the development of self-learning algorithms for automated decision-making, and the adoption of AI-powered sustainability tracking tools. The continued evolution of AI in autonomous warehouse management, robotic supply chain operations, and AI-driven procurement strategies will further revolutionize supply chain management.

SCOPE OF STUDY:

The report analyzes the Machine Learning in Supply Chain Management market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Component (Software Component, Services Component); Deployment (Cloud-based Deployment, On-Premise Deployment); Organization (Large Enterprises, Small & Medium-Sized Enterprises); Application (Demand Forecasting Application, Supplier Relationship Management Application, Risk Management Application, Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications); End-User (Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User, Other End-Users)

Geographic Regions/Countries:

World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.

Select Competitors (Total 48 Featured) -

• Accenture plc
• Aera Technology
• Amazon Web Services (AWS)
• Blue Yonder
• Coupa Software
• DataArt
• Flowspace
• FourKites
• IBM Corporation
• Lokad
• Microsoft Corporation
• Noodle.ai
• Oracle Corporation
• Osa Commerce
• Project44
• Samsara
• SAP SE
• Shipsy
• Shipwell
• Transmetrics

AI INTEGRATIONS

We're transforming market and competitive intelligence with validated expert content and AI tools.

Instead of following the general norm of querying LLMs and Industry-specific SLMs, we built repositories of content curated from domain experts worldwide including video transcripts, blogs, search engines research, and massive amounts of enterprise, product/service, and market data.

TARIFF IMPACT FACTOR

Our new release incorporates impact of tariffs on geographical markets as we predict a shift in competitiveness of companies based on HQ country, manufacturing base, exports and imports (finished goods and OEM). This intricate and multifaceted market reality will impact competitors by increasing the Cost of Goods Sold (COGS), reducing profitability, reconfiguring supply chains, amongst other micro and macro market dynamics.

TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

• 1. MARKET OVERVIEW
  • Influencer Market Insights
  • Tariff Impact on Global Supply Chain Patterns
  • Machine Learning in Supply Chain Management - Global Key Competitors Percentage Market Share in 2025 (E)
  • Competitive Market Presence - Strong/Active/Niche/Trivial for Players Worldwide in 2025 (E)
• 2. FOCUS ON SELECT PLAYERS
• 3. MARKET TRENDS & DRIVERS
  • Rising Demand for End-to-End Supply Chain Visibility Drives Adoption of Machine Learning Solutions
  • Increased Supply Chain Complexity and Globalization Strengthens the Business Case for ML-Driven Optimization
  • Integration of ML with ERP and SCM Systems Enhances Forecasting Accuracy and Operational Agility
  • Growing Focus on Demand Sensing and Predictive Inventory Planning Spurs ML Deployment Across Retail and Manufacturing
  • Disruption Management and Real-Time Scenario Planning Drive Use of ML in Resilient Supply Chain Strategies
  • Advancements in Natural Language Processing Improve Procurement Intelligence and Supplier Risk Analysis
  • ML-Powered Automation of Procurement Workflows Reduces Costs and Enhances Compliance
  • Real-Time Transportation and Route Optimization Using ML Algorithms Boosts Efficiency in Logistics
  • Use of ML in Predictive Maintenance Minimizes Downtime in Supply Chain Equipment and Infrastructure
  • ML Integration in Cold Chain Management Ensures Quality Control and Real-Time Monitoring
  • Cloud and Edge Computing Convergence Expands ML Scalability Across Global Supply Chain Networks
  • Workforce Shortages and Skill Gaps Drive ML-Based Robotic Process Automation in Warehousing
  • Increased Cybersecurity Concerns Spur Use of ML in Threat Detection and Supply Chain Security
• 4. GLOBAL MARKET PERSPECTIVE
  • TABLE 1: World Machine Learning in Supply Chain Management Market Analysis of Annual Sales in US$ Thousand for Years 2015 through 2030
  • TABLE 2: World Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 3: World Historic Review for Machine Learning in Supply Chain Management by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 4: World 15-Year Perspective for Machine Learning in Supply Chain Management by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets for Years 2015, 2025 & 2030
  • TABLE 5: World Recent Past, Current & Future Analysis for Software Component by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 6: World Historic Review for Software Component by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 7: World 15-Year Perspective for Software Component by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
  • TABLE 8: World Recent Past, Current & Future Analysis for Services Component by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 9: World Historic Review for Services Component by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 10: World 15-Year Perspective for Services Component by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
  • TABLE 11: World Recent Past, Current & Future Analysis for Product Lifecycle Management Application by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 12: World Historic Review for Product Lifecycle Management Application by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 13: World 15-Year Perspective for Product Lifecycle Management Application by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
  • TABLE 14: World Recent Past, Current & Future Analysis for Sales & Operations Planning Application by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 15: World Historic Review for Sales & Operations Planning Application by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 16: World 15-Year Perspective for Sales & Operations Planning Application by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
  • TABLE 17: World Recent Past, Current & Future Analysis for Other Applications by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 18: World Historic Review for Other Applications by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 19: World 15-Year Perspective for Other Applications by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
  • TABLE 20: World Recent Past, Current & Future Analysis for Demand Forecasting Application by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 21: World Historic Review for Demand Forecasting Application by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 22: World 15-Year Perspective for Demand Forecasting Application by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
  • TABLE 23: World Recent Past, Current & Future Analysis for Supplier Relationship Management Application by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 24: World Historic Review for Supplier Relationship Management Application by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 25: World 15-Year Perspective for Supplier Relationship Management Application by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
  • TABLE 26: World Recent Past, Current & Future Analysis for Risk Management Application by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 27: World Historic Review for Risk Management Application by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 28: World 15-Year Perspective for Risk Management Application by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
  • TABLE 29: World Recent Past, Current & Future Analysis for Retail & E-commerce End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 30: World Historic Review for Retail & E-commerce End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 31: World 15-Year Perspective for Retail & E-commerce End-User by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
  • TABLE 32: World Recent Past, Current & Future Analysis for Manufacturing End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 33: World Historic Review for Manufacturing End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 34: World 15-Year Perspective for Manufacturing End-User by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
  • TABLE 35: World Recent Past, Current & Future Analysis for Healthcare End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 36: World Historic Review for Healthcare End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 37: World 15-Year Perspective for Healthcare End-User by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
  • TABLE 38: World Recent Past, Current & Future Analysis for Automotive End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 39: World Historic Review for Automotive End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 40: World 15-Year Perspective for Automotive End-User by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
  • TABLE 41: World Recent Past, Current & Future Analysis for Food & Beverage End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 42: World Historic Review for Food & Beverage End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 43: World 15-Year Perspective for Food & Beverage End-User by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
  • TABLE 44: World Recent Past, Current & Future Analysis for Consumer Goods End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 45: World Historic Review for Consumer Goods End-User by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 46: World 15-Year Perspective for Consumer Goods End-User by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
  • TABLE 47: World Recent Past, Current & Future Analysis for Other End-Users by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 48: World Historic Review for Other End-Users by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 49: World 15-Year Perspective for Other End-Users by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
  • TABLE 50: World Recent Past, Current & Future Analysis for Cloud-based Deployment by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 51: World Historic Review for Cloud-based Deployment by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 52: World 15-Year Perspective for Cloud-based Deployment by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
  • TABLE 53: World Recent Past, Current & Future Analysis for On-Premise Deployment by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 54: World Historic Review for On-Premise Deployment by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 55: World 15-Year Perspective for On-Premise Deployment by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
  • TABLE 56: World Recent Past, Current & Future Analysis for Large Enterprises by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 57: World Historic Review for Large Enterprises by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 58: World 15-Year Perspective for Large Enterprises by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030
  • TABLE 59: World Recent Past, Current & Future Analysis for Small & Medium-Sized Enterprises by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 60: World Historic Review for Small & Medium-Sized Enterprises by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 61: World 15-Year Perspective for Small & Medium-Sized Enterprises by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2015, 2025 & 2030

III. MARKET ANALYSIS

• UNITED STATES
  • Machine Learning in Supply Chain Management Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United States for 2025 (E)
  • TABLE 62: USA Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 63: USA Historic Review for Machine Learning in Supply Chain Management by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 64: USA 15-Year Perspective for Machine Learning in Supply Chain Management by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 65: USA Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 66: USA Historic Review for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 67: USA 15-Year Perspective for Machine Learning in Supply Chain Management by Application - Percentage Breakdown of Value Sales for Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application for the Years 2015, 2025 & 2030
  • TABLE 68: USA Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 69: USA Historic Review for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 70: USA 15-Year Perspective for Machine Learning in Supply Chain Management by End-user - Percentage Breakdown of Value Sales for Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users for the Years 2015, 2025 & 2030
  • TABLE 71: USA Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 72: USA Historic Review for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 73: USA 15-Year Perspective for Machine Learning in Supply Chain Management by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 74: USA Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 75: USA Historic Review for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 76: USA 15-Year Perspective for Machine Learning in Supply Chain Management by Organization - Percentage Breakdown of Value Sales for Large Enterprises and Small & Medium-Sized Enterprises for the Years 2015, 2025 & 2030
• CANADA
  • TABLE 77: Canada Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 78: Canada Historic Review for Machine Learning in Supply Chain Management by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 79: Canada 15-Year Perspective for Machine Learning in Supply Chain Management by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 80: Canada Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 81: Canada Historic Review for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 82: Canada 15-Year Perspective for Machine Learning in Supply Chain Management by Application - Percentage Breakdown of Value Sales for Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application for the Years 2015, 2025 & 2030
  • TABLE 83: Canada Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 84: Canada Historic Review for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 85: Canada 15-Year Perspective for Machine Learning in Supply Chain Management by End-user - Percentage Breakdown of Value Sales for Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users for the Years 2015, 2025 & 2030
  • TABLE 86: Canada Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 87: Canada Historic Review for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 88: Canada 15-Year Perspective for Machine Learning in Supply Chain Management by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 89: Canada Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 90: Canada Historic Review for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 91: Canada 15-Year Perspective for Machine Learning in Supply Chain Management by Organization - Percentage Breakdown of Value Sales for Large Enterprises and Small & Medium-Sized Enterprises for the Years 2015, 2025 & 2030
• JAPAN
  • Machine Learning in Supply Chain Management Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Japan for 2025 (E)
  • TABLE 92: Japan Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 93: Japan Historic Review for Machine Learning in Supply Chain Management by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 94: Japan 15-Year Perspective for Machine Learning in Supply Chain Management by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 95: Japan Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 96: Japan Historic Review for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 97: Japan 15-Year Perspective for Machine Learning in Supply Chain Management by Application - Percentage Breakdown of Value Sales for Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application for the Years 2015, 2025 & 2030
  • TABLE 98: Japan Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 99: Japan Historic Review for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 100: Japan 15-Year Perspective for Machine Learning in Supply Chain Management by End-user - Percentage Breakdown of Value Sales for Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users for the Years 2015, 2025 & 2030
  • TABLE 101: Japan Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 102: Japan Historic Review for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 103: Japan 15-Year Perspective for Machine Learning in Supply Chain Management by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 104: Japan Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 105: Japan Historic Review for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 106: Japan 15-Year Perspective for Machine Learning in Supply Chain Management by Organization - Percentage Breakdown of Value Sales for Large Enterprises and Small & Medium-Sized Enterprises for the Years 2015, 2025 & 2030
• CHINA
  • Machine Learning in Supply Chain Management Market Presence - Strong/Active/Niche/Trivial - Key Competitors in China for 2025 (E)
  • TABLE 107: China Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 108: China Historic Review for Machine Learning in Supply Chain Management by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 109: China 15-Year Perspective for Machine Learning in Supply Chain Management by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 110: China Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 111: China Historic Review for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 112: China 15-Year Perspective for Machine Learning in Supply Chain Management by Application - Percentage Breakdown of Value Sales for Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application for the Years 2015, 2025 & 2030
  • TABLE 113: China Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 114: China Historic Review for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 115: China 15-Year Perspective for Machine Learning in Supply Chain Management by End-user - Percentage Breakdown of Value Sales for Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users for the Years 2015, 2025 & 2030
  • TABLE 116: China Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 117: China Historic Review for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 118: China 15-Year Perspective for Machine Learning in Supply Chain Management by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 119: China Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 120: China Historic Review for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 121: China 15-Year Perspective for Machine Learning in Supply Chain Management by Organization - Percentage Breakdown of Value Sales for Large Enterprises and Small & Medium-Sized Enterprises for the Years 2015, 2025 & 2030
• EUROPE
  • Machine Learning in Supply Chain Management Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Europe for 2025 (E)
  • TABLE 122: Europe Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Geographic Region - France, Germany, Italy, UK and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2024 through 2030 and % CAGR
  • TABLE 123: Europe Historic Review for Machine Learning in Supply Chain Management by Geographic Region - France, Germany, Italy, UK and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 124: Europe 15-Year Perspective for Machine Learning in Supply Chain Management by Geographic Region - Percentage Breakdown of Value Sales for France, Germany, Italy, UK and Rest of Europe Markets for Years 2015, 2025 & 2030
  • TABLE 125: Europe Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 126: Europe Historic Review for Machine Learning in Supply Chain Management by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 127: Europe 15-Year Perspective for Machine Learning in Supply Chain Management by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 128: Europe Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 129: Europe Historic Review for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 130: Europe 15-Year Perspective for Machine Learning in Supply Chain Management by Application - Percentage Breakdown of Value Sales for Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application for the Years 2015, 2025 & 2030
  • TABLE 131: Europe Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 132: Europe Historic Review for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 133: Europe 15-Year Perspective for Machine Learning in Supply Chain Management by End-user - Percentage Breakdown of Value Sales for Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users for the Years 2015, 2025 & 2030
  • TABLE 134: Europe Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 135: Europe Historic Review for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 136: Europe 15-Year Perspective for Machine Learning in Supply Chain Management by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 137: Europe Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 138: Europe Historic Review for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 139: Europe 15-Year Perspective for Machine Learning in Supply Chain Management by Organization - Percentage Breakdown of Value Sales for Large Enterprises and Small & Medium-Sized Enterprises for the Years 2015, 2025 & 2030
• FRANCE
  • Machine Learning in Supply Chain Management Market Presence - Strong/Active/Niche/Trivial - Key Competitors in France for 2025 (E)
  • TABLE 140: France Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 141: France Historic Review for Machine Learning in Supply Chain Management by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 142: France 15-Year Perspective for Machine Learning in Supply Chain Management by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 143: France Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 144: France Historic Review for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 145: France 15-Year Perspective for Machine Learning in Supply Chain Management by Application - Percentage Breakdown of Value Sales for Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application for the Years 2015, 2025 & 2030
  • TABLE 146: France Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 147: France Historic Review for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 148: France 15-Year Perspective for Machine Learning in Supply Chain Management by End-user - Percentage Breakdown of Value Sales for Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users for the Years 2015, 2025 & 2030
  • TABLE 149: France Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 150: France Historic Review for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 151: France 15-Year Perspective for Machine Learning in Supply Chain Management by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 152: France Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 153: France Historic Review for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 154: France 15-Year Perspective for Machine Learning in Supply Chain Management by Organization - Percentage Breakdown of Value Sales for Large Enterprises and Small & Medium-Sized Enterprises for the Years 2015, 2025 & 2030
• GERMANY
  • Machine Learning in Supply Chain Management Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Germany for 2025 (E)
  • TABLE 155: Germany Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 156: Germany Historic Review for Machine Learning in Supply Chain Management by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 157: Germany 15-Year Perspective for Machine Learning in Supply Chain Management by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 158: Germany Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 159: Germany Historic Review for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 160: Germany 15-Year Perspective for Machine Learning in Supply Chain Management by Application - Percentage Breakdown of Value Sales for Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application for the Years 2015, 2025 & 2030
  • TABLE 161: Germany Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 162: Germany Historic Review for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 163: Germany 15-Year Perspective for Machine Learning in Supply Chain Management by End-user - Percentage Breakdown of Value Sales for Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users for the Years 2015, 2025 & 2030
  • TABLE 164: Germany Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 165: Germany Historic Review for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 166: Germany 15-Year Perspective for Machine Learning in Supply Chain Management by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 167: Germany Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 168: Germany Historic Review for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 169: Germany 15-Year Perspective for Machine Learning in Supply Chain Management by Organization - Percentage Breakdown of Value Sales for Large Enterprises and Small & Medium-Sized Enterprises for the Years 2015, 2025 & 2030
• ITALY
  • TABLE 170: Italy Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 171: Italy Historic Review for Machine Learning in Supply Chain Management by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 172: Italy 15-Year Perspective for Machine Learning in Supply Chain Management by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 173: Italy Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 174: Italy Historic Review for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 175: Italy 15-Year Perspective for Machine Learning in Supply Chain Management by Application - Percentage Breakdown of Value Sales for Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application for the Years 2015, 2025 & 2030
  • TABLE 176: Italy Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 177: Italy Historic Review for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 178: Italy 15-Year Perspective for Machine Learning in Supply Chain Management by End-user - Percentage Breakdown of Value Sales for Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users for the Years 2015, 2025 & 2030
  • TABLE 179: Italy Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 180: Italy Historic Review for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 181: Italy 15-Year Perspective for Machine Learning in Supply Chain Management by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 182: Italy Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 183: Italy Historic Review for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 184: Italy 15-Year Perspective for Machine Learning in Supply Chain Management by Organization - Percentage Breakdown of Value Sales for Large Enterprises and Small & Medium-Sized Enterprises for the Years 2015, 2025 & 2030
• UNITED KINGDOM
  • Machine Learning in Supply Chain Management Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United Kingdom for 2025 (E)
  • TABLE 185: UK Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 186: UK Historic Review for Machine Learning in Supply Chain Management by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 187: UK 15-Year Perspective for Machine Learning in Supply Chain Management by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 188: UK Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 189: UK Historic Review for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 190: UK 15-Year Perspective for Machine Learning in Supply Chain Management by Application - Percentage Breakdown of Value Sales for Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application for the Years 2015, 2025 & 2030
  • TABLE 191: UK Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 192: UK Historic Review for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 193: UK 15-Year Perspective for Machine Learning in Supply Chain Management by End-user - Percentage Breakdown of Value Sales for Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users for the Years 2015, 2025 & 2030
  • TABLE 194: UK Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 195: UK Historic Review for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 196: UK 15-Year Perspective for Machine Learning in Supply Chain Management by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 197: UK Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 198: UK Historic Review for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 199: UK 15-Year Perspective for Machine Learning in Supply Chain Management by Organization - Percentage Breakdown of Value Sales for Large Enterprises and Small & Medium-Sized Enterprises for the Years 2015, 2025 & 2030
• REST OF EUROPE
  • TABLE 200: Rest of Europe Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 201: Rest of Europe Historic Review for Machine Learning in Supply Chain Management by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 202: Rest of Europe 15-Year Perspective for Machine Learning in Supply Chain Management by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 203: Rest of Europe Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 204: Rest of Europe Historic Review for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 205: Rest of Europe 15-Year Perspective for Machine Learning in Supply Chain Management by Application - Percentage Breakdown of Value Sales for Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application for the Years 2015, 2025 & 2030
  • TABLE 206: Rest of Europe Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 207: Rest of Europe Historic Review for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 208: Rest of Europe 15-Year Perspective for Machine Learning in Supply Chain Management by End-user - Percentage Breakdown of Value Sales for Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users for the Years 2015, 2025 & 2030
  • TABLE 209: Rest of Europe Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 210: Rest of Europe Historic Review for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 211: Rest of Europe 15-Year Perspective for Machine Learning in Supply Chain Management by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 212: Rest of Europe Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 213: Rest of Europe Historic Review for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 214: Rest of Europe 15-Year Perspective for Machine Learning in Supply Chain Management by Organization - Percentage Breakdown of Value Sales for Large Enterprises and Small & Medium-Sized Enterprises for the Years 2015, 2025 & 2030
• ASIA-PACIFIC
  • Machine Learning in Supply Chain Management Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Asia-Pacific for 2025 (E)
  • TABLE 215: Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 216: Asia-Pacific Historic Review for Machine Learning in Supply Chain Management by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 217: Asia-Pacific 15-Year Perspective for Machine Learning in Supply Chain Management by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 218: Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 219: Asia-Pacific Historic Review for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 220: Asia-Pacific 15-Year Perspective for Machine Learning in Supply Chain Management by Application - Percentage Breakdown of Value Sales for Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application for the Years 2015, 2025 & 2030
  • TABLE 221: Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 222: Asia-Pacific Historic Review for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 223: Asia-Pacific 15-Year Perspective for Machine Learning in Supply Chain Management by End-user - Percentage Breakdown of Value Sales for Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users for the Years 2015, 2025 & 2030
  • TABLE 224: Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 225: Asia-Pacific Historic Review for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 226: Asia-Pacific 15-Year Perspective for Machine Learning in Supply Chain Management by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 227: Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 228: Asia-Pacific Historic Review for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 229: Asia-Pacific 15-Year Perspective for Machine Learning in Supply Chain Management by Organization - Percentage Breakdown of Value Sales for Large Enterprises and Small & Medium-Sized Enterprises for the Years 2015, 2025 & 2030
• REST OF WORLD
  • TABLE 230: Rest of World Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Component - Software Component and Services Component - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 231: Rest of World Historic Review for Machine Learning in Supply Chain Management by Component - Software Component and Services Component Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 232: Rest of World 15-Year Perspective for Machine Learning in Supply Chain Management by Component - Percentage Breakdown of Value Sales for Software Component and Services Component for the Years 2015, 2025 & 2030
  • TABLE 233: Rest of World Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 234: Rest of World Historic Review for Machine Learning in Supply Chain Management by Application - Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 235: Rest of World 15-Year Perspective for Machine Learning in Supply Chain Management by Application - Percentage Breakdown of Value Sales for Product Lifecycle Management Application, Sales & Operations Planning Application, Other Applications, Demand Forecasting Application, Supplier Relationship Management Application and Risk Management Application for the Years 2015, 2025 & 2030
  • TABLE 236: Rest of World Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 237: Rest of World Historic Review for Machine Learning in Supply Chain Management by End-user - Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 238: Rest of World 15-Year Perspective for Machine Learning in Supply Chain Management by End-user - Percentage Breakdown of Value Sales for Retail & E-commerce End-User, Manufacturing End-User, Healthcare End-User, Automotive End-User, Food & Beverage End-User, Consumer Goods End-User and Other End-Users for the Years 2015, 2025 & 2030
  • TABLE 239: Rest of World Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 240: Rest of World Historic Review for Machine Learning in Supply Chain Management by Deployment - Cloud-based Deployment and On-Premise Deployment Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 241: Rest of World 15-Year Perspective for Machine Learning in Supply Chain Management by Deployment - Percentage Breakdown of Value Sales for Cloud-based Deployment and On-Premise Deployment for the Years 2015, 2025 & 2030
  • TABLE 242: Rest of World Recent Past, Current & Future Analysis for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises - Independent Analysis of Annual Sales in US$ Thousand for the Years 2024 through 2030 and % CAGR
  • TABLE 243: Rest of World Historic Review for Machine Learning in Supply Chain Management by Organization - Large Enterprises and Small & Medium-Sized Enterprises Markets - Independent Analysis of Annual Sales in US$ Thousand for Years 2015 through 2023 and % CAGR
  • TABLE 244: Rest of World 15-Year Perspective for Machine Learning in Supply Chain Management by Organization - Percentage Breakdown of Value Sales for Large Enterprises and Small & Medium-Sized Enterprises for the Years 2015, 2025 & 2030

IV. COMPETITION