查看购物车
  • Traditional Chinese
  • English
  • Japanese
  • Korean
封面
市场调查报告书
商品编码
2007826

数位供应链平台市场预测至2034年：按组件、部署模式、技术、功能、最终用户和地区分類的全球分析

Digital Supply Chain Platforms Market Forecasts to 2034 - Global Analysis By Component (Software and Services), Deployment Mode, Technology, Function, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，预计到 2026 年，全球数位供应链平台市场规模将达到 99 亿美元，并在预测期内以 37.2% 的复合年增长率增长，到 2034 年将达到 2,364 亿美元。

数位化供应链平台是一种整合软体解决方案，使企业能够端到端地管理、监控和优化其供应链营运。这些平台融合了人工智慧、机器学习、物联网、区块链和分析等先进技术，以改善需求计划、库存管理、物流、采购和供应商协作。它们提供即时视觉性、预测性洞察和自动化功能，帮助企业降低成本、提高效率、提升客户满意度，并快速应对复杂全球供应链中的各种突发事件。

对供应链韧性和可视性的需求日益增长。

随着全球各种突发事件（从地缘政治紧张局势到自然灾害）的日益频繁，企业被迫将供应链韧性置于优先地位。各公司正大力投资数位化平台，以确保端到端的可视性，并预测和主动应对风险。即时数据分析和控制塔对于管理复杂的多层供应链网路至关重要。从准时制库存策略转向以防万一库存策略的转变，进一步推动了对强大数位化工具的采用。更高的可视性有助于更准确地预测需求、加强供应商协作和优化库存，从而增强供应链的适应能力。这种对韧性的关注是市场成长的主要驱动力。

实施成本高且整合复杂。

实施一套全面的数位化供应链平台需要对软体、基础设施和专业人才进行大量资本投入。将这些新平台与传统的企业资源计划 (ERP) 系统和现有营运技术集成，其复杂性构成了一项重大挑战。许多企业都面临着资料孤岛、资料格式不一致和缺乏互通性等问题，这会导致部署延迟和投资报酬率降低。对于中小企业 (SME) 而言，初始成本往往是一大障碍。此外，为确保使用者接受新平台，需要持续进行培训和变更管理，这也会推高整体拥有成本 (TCO)，从而减缓市场渗透速度。

人工智慧和预测分析的快速普及

将人工智慧 (AI) 和机器学习 (ML) 整合到供应链平台中，透过将被动流程转变为主动策略，创造了巨大的成长机会。 AI 驱动的预测分析能够实现精准的需求预测、优化的配送路线和自动化的仓库运营，从而大幅降低成本。生成式 AI 正成为情境规划和供应链设计的强大工具。随着企业寻求自动化决策并从数据中获得更深入的洞察，对具备先进 AI 功能的平台的需求正在激增。这项技术进步实现了前所未有的个人化和高效水准。

网路安全与资料隐私风险

随着供应链数位化和互联互通，网路威胁的攻击面不断扩大，对市场稳定构成重大威胁。数位化供应链平台上的资料外洩会暴露高度敏感的营运资料、智慧财产权和客户讯息，导致经济损失和声誉损害。针对物流网路的勒索软体攻击已展现出其在全球范围内瘫痪营运的潜力。在多个司法管辖区（法规各不相同）确保资料隐私，更增加了复杂性。如果没有健全的网路安全框架、持续监控和严格的资料管治，企业可能会对全面拥抱数位转型犹豫不决。

新冠疫情的影响

新冠疫情标誌着一个关键的转捩点，暴露了传统全球供应链的脆弱性。封锁措施和需求波动造成了前所未有的衝击，迫使各组织加速数位转型。这场危机凸显了即时可视性、情境建模和供应商多元化的必要性。企业迅速采用基于云端的供应链平台，以实现远距办公并维持业务永续营运。随着企业寻求减少对人工干预的依赖，自动化和人工智慧领域的投资激增。后疫情时代，重点已永久转向建构具有韧性、敏捷性和智慧化的供应链网路。

在预测期内，软体领域预计将占据最大份额。

预计在预测期内，软体领域将占据最大的市场份额，因为它在实现核心数位化能力方面发挥着至关重要的作用。供应链规划、执行和视觉化软体是管理复杂全球网路的基础。随着企业优化物流，对运输和仓储管理的先进解决方案需求日益增长。人工智慧、机器学习数位双胞胎功能的不断发展，确保了软体始终是数位转型策略的核心要素。

预计在预测期内，零售和电子商务领域的复合年增长率将最高。

在预测期内，零售和电子商务领域预计将呈现最高的成长率。这是因为消费者对快速透明的配送服务日益增长的期望，迫使零售商采用数位化供应链平台。这些解决方案能够实现即时库存可见性、优化最后一公里物流，并实现无缝的全通路履约。缩短配送时间和简化复杂退货流程的激烈竞争压力，进一步加速了这些解决方案的普及。先进的分析和人工智慧技术能够帮助零售商准确预测需求、有效管理库存，同时最大限度地降低库存积压成本。

市占率最大的地区：

在整个预测期内，北美地区预计将保持最大的市场份额，这得益于其技术领先地位和对先进技术的早期采用。主要市场参与者的存在以及在人工智慧和云端运算领域强大的创新文化正在推动平台的持续发展。美国和加拿大的企业正在积极投资数位转型，将製造业带回其国家并增强供应链韧性。健全的资料安全法规结构和竞争格局正在推动下一代供应链解决方案的快速普及。

复合年增长率最高的地区：

在预测期内，亚太地区预计将呈现最高的复合年增长率，这主要得益于其作为全球製造地的地位和快速的工业化进程。中国、印度和日本等国家对智慧工厂和物流基础设施的大规模投资正在加速智慧化技术的应用。该地区跨越多个国家的复杂供应链网络，需要强大的数位化平台来管理和视觉化。政府推动工业4.0和数位转型的倡议，也正在加速市场成长。

免费客製化服务：

所有购买此报告的客户均可享受以下免费自订选项之一：

  • 企业概况
    • 对其他市场参与者（最多 3 家公司）进行全面分析
    • 对主要企业进行SWOT分析（最多3家公司）
  • 区域细分
    • 根据客户要求，我们可以提供主要国家和地区的市场估算和预测，以及复合年增长率（註：需要进行可行性测试）。
  • 竞争性标竿分析
    • 根据产品系列、地理覆盖范围和策略联盟对主要企业进行基准分析。

目录

第一章：执行摘要

  • 市场概览及主要亮点
  • 驱动因素、挑战与机会
  • 竞争格局概述
  • 战略洞察与建议

第二章：研究框架

  • 研究目标和范围
  • 相关人员分析
  • 研究假设和限制
  • 调查方法

第三章 市场动态与趋势分析

  • 市场定义与结构
  • 主要市场驱动因素
  • 市场限制与挑战
  • 投资成长机会和重点领域
  • 产业威胁与风险评估
  • 技术与创新展望
  • 新兴市场/高成长市场
  • 监管和政策环境
  • 新冠疫情的影响及復苏前景

第四章：竞争环境与策略评估

  • 波特五力分析
    • 供应商的议价能力
    • 买方的议价能力
    • 替代品的威胁
    • 新进入者的威胁
    • 竞争公司之间的竞争
  • 主要企业市占率分析
  • 产品基准评效和效能比较

第五章：全球数位化供应链平台市场：按组件划分

  • 软体
    • 供应链规划
    • 供应链执行
    • 视觉化与分析
    • 采购与寻源
    • 仓库管理
    • 运输管理
  • 服务
    • 专业服务
    • 託管服务
    • 支援与维护

第六章：全球数位化供应链平台市场：依部署模式划分

  • 基于云端的
  • 现场
  • 杂交种

第七章 全球数位化供应链平台市场：依技术划分

  • 人工智慧和机器学习
  • 物联网 (IoT)
  • 区块链
  • 巨量资料与分析
  • 机器人流程自动化 (RPA)
  • 云端运算
  • 数位双胞胎

第八章：全球数位化供应链平台市场：依功能划分

  • 需求计划与预测
  • 库存管理
  • 订单管理
  • 供应商协作
  • 物流/运输
  • 仓库管理
  • 售后市场和逆向物流

第九章 全球数位化供应链平台市场：依最终用户划分

  • 製造业
  • 零售与电子商务
  • 医疗和药品
  • 车
  • 食品/饮料
  • 消费品
  • 物流/运输
  • 航太/国防
  • 能源公用事业
  • 其他最终用户

第十章：全球数位化供应链平台市场：按地区划分

  • 北美洲
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 荷兰
    • 比利时
    • 瑞典
    • 瑞士
    • 波兰
    • 其他欧洲国家
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
    • 印尼
    • 泰国
    • 马来西亚
    • 新加坡
    • 越南
    • 其他亚太国家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥伦比亚
    • 智利
    • 秘鲁
    • 其他南美国家
  • 世界其他地区（RoW）
    • 中东
      • 沙乌地阿拉伯
      • 阿拉伯聯合大公国
      • 卡达
      • 以色列
      • 其他中东国家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲国家

第十一章 策略市场资讯

  • 工业价值网络和供应链评估
  • 空白区域和机会地图
  • 产品演进与市场生命週期分析
  • 通路、经销商和打入市场策略的评估

第十二章 产业趋势与策略倡议

  • 併购
  • 伙伴关係、联盟和合资企业
  • 新产品发布和认证
  • 扩大生产能力和投资
  • 其他策略倡议

第十三章：公司简介

  • SAP SE
  • Oracle Corporation
  • Microsoft Corporation
  • IBM Corporation
  • Salesforce, Inc.
  • Amazon Web Services, Inc.
  • Blue Yonder Group, Inc.
  • Manhattan Associates, Inc.
  • Kinaxis Inc.
  • Infor, Inc.
  • Epicor Software Corporation
  • Descartes Systems Group Inc.
  • Coupa Software Inc.
  • JDA Software Group, Inc.
  • Logility, Inc.
Product Code: SMRC34701

According to Stratistics MRC, the Global Digital Supply Chain Platforms Market is accounted for $9.9 billion in 2026 and is expected to reach $236.4 billion by 2034 growing at a CAGR of 37.2% during the forecast period. Digital Supply Chain Platforms are integrated software solutions that enable organizations to manage, monitor, and optimize their supply chain operations end-to-end. They combine advanced technologies such as artificial intelligence, machine learning, IoT, blockchain, and analytics to improve demand planning, inventory management, logistics, procurement, and supplier collaboration. These platforms provide real-time visibility, predictive insights, and automation capabilities, helping businesses reduce costs, enhance efficiency, improve customer satisfaction, and respond swiftly to disruptions in complex global supply chains.

Market Dynamics:

Driver:

Growing need for supply chain resilience and visibility

The increasing frequency of global disruptions, from geopolitical tensions to natural disasters, is compelling organizations to prioritize supply chain resilience. Businesses are investing heavily in digital platforms to gain end-to-end visibility, enabling them to anticipate risks and respond proactively. Real-time data analytics and control towers are becoming essential for managing complex, multi-tier supply networks. The shift from just-in-time to just-in-case inventory strategies further fuels the adoption of robust digital tools. Enhanced visibility allows for better demand forecasting, supplier collaboration, and inventory optimization, making supply chains more adaptable. This focus on resilience is a primary catalyst for market growth.

Restraint:

High implementation costs and integration complexities

Deploying comprehensive digital supply chain platforms requires significant capital investment in software, infrastructure, and skilled personnel. The complexity of integrating these new platforms with legacy enterprise resource planning (ERP) systems and existing operational technology poses a major challenge. Many organizations struggle with data silos, inconsistent data formats, and a lack of interoperability, which can delay implementation and reduce ROI. Small and medium-sized enterprises (SMEs) often find the upfront costs prohibitive. Additionally, the need for continuous training and change management to ensure user adoption adds to the total cost of ownership, slowing down market penetration.

Opportunity:

Rapid adoption of AI and predictive analytics

The integration of artificial intelligence (AI) and machine learning (ML) into supply chain platforms is creating significant growth opportunities by transforming reactive processes into proactive strategies. AI-powered predictive analytics enable accurate demand forecasting, optimize routing, and automate warehouse operations, leading to substantial cost savings. Generative AI is emerging as a powerful tool for scenario planning and supply chain design. As businesses seek to automate decision-making and unlock deeper insights from their data, the demand for platforms with advanced AI capabilities is surging. This technological evolution allows for hyper-personalization and efficiency gains previously unattainable.

Threat:

Cybersecurity and data privacy risks

As supply chains become increasingly digitized and interconnected, they expand the attack surface for cyber threats, posing a significant threat to market stability. A breach in a digital supply chain platform can expose sensitive operational data, intellectual property, and customer information, leading to financial loss and reputational damage. Ransomware attacks targeting logistics networks have demonstrated the potential to halt global operations. Ensuring data privacy across multiple jurisdictions with varying regulations adds another layer of complexity. Without robust cybersecurity frameworks, continuous monitoring, and stringent data governance, organizations may hesitate to fully embrace digital transformation.

Covid-19 Impact

The COVID-19 pandemic served as a critical inflection point, exposing the fragility of traditional global supply chains. Lockdowns and demand volatility caused unprecedented disruptions, forcing organizations to accelerate digital transformation initiatives. The crisis highlighted the necessity for real-time visibility, scenario modeling, and supplier diversification. Companies rapidly adopted cloud-based supply chain platforms to enable remote work and maintain operational continuity. Investment in automation and AI surged as businesses sought to reduce human dependency. Post-pandemic, the focus has permanently shifted towards building resilient, agile, and intelligent supply chain networks.

The software segment is expected to be the largest during the forecast period

The software segment is expected to account for the largest market share during the forecast period, driven by its critical role in enabling core digital capabilities. Supply chain planning, execution, and visibility software are foundational for managing complex global networks. Advanced solutions in transportation management and warehouse management are in high demand as companies seek to optimize logistics. The continuous evolution of software with AI, machine learning, and digital twin capabilities ensures it remains the central component of digital transformation strategies.

The retail & e-commerce segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the retail & e-commerce segment is predicted to witness the highest growth rate, due to rising consumer expectations for rapid, transparent delivery are forcing retailers to adopt digital supply chain platforms. These solutions enable real-time inventory visibility, optimize last-mile logistics, and facilitate seamless omnichannel fulfillment. Intense competitive pressure to reduce delivery times and manage complex return processes further accelerates adoption. Advanced analytics and AI help retailers forecast demand accurately, ensuring stock availability while minimizing excess inventory costs.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, supported by its technological leadership and early adoption of advanced technologies. The presence of major market players and a strong culture of innovation in AI and cloud computing drives continuous platform evolution. U.S. and Canadian companies are aggressively investing in digital transformation to reshore manufacturing and build supply chain resilience. A robust regulatory framework for data security and a highly competitive business environment encourage the rapid deployment of next-generation supply chain solutions.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, fueled by its dominance as a global manufacturing hub and rapid industrialization. Massive investments in smart factories and logistics infrastructure in countries like China, India, and Japan are driving adoption. The region's complex supply networks, spanning multiple countries, necessitate robust digital platforms for management and visibility. Government initiatives promoting Industry 4.0 and digital transformation are accelerating market growth.

Key players in the market

Some of the key players in Digital Supply Chain Platforms Market include SAP SE, Oracle Corporation, Microsoft Corporation, IBM Corporation, Salesforce, Inc., Amazon Web Services, Inc., Blue Yonder Group, Inc., Manhattan Associates, Inc., Kinaxis Inc., Infor, Inc., Epicor Software Corporation, Descartes Systems Group Inc., Coupa Software Inc., JDA Software Group, Inc., and Logility, Inc.

Key Developments:

In March 2026, IBM completed its acquisition of Confluent, Inc., the data streaming platform that more than 6,500 enterprises, including 40% of the Fortune 500, rely on to power real-time operations. Together, IBM and Confluent deliver a smart data platform that gives every AI model, agent, and automated workflow the real-time, trusted data needed to operate across on-premises and hybrid cloud environments at scale.

In February 2026, Oracle and Oracle Red Bull Racing announced a multi-year extension and expansion of their title partnership as the Team prepares for the most significant regulation shift in modern F1 history. This renewal builds on the most integrated team technology partnership in F1, with Oracle technology powering the Team's success and helping deliver a competitive advantage under pressure.

Components Covered:

  • Software
  • Services

Deployment Modes Covered:

  • Cloud-Based
  • On-Premises
  • Hybrid

Technologies Covered:

  • Artificial Intelligence and Machine Learning
  • Internet of Things (IoT)
  • Blockchain
  • Big Data and Analytics
  • Robotic Process Automation (RPA)
  • Cloud Computing
  • Digital Twins

Functions Covered:

  • Demand Planning and Forecasting
  • Inventory Management
  • Order Management
  • Supplier Collaboration
  • Logistics and Transportation
  • Warehousing
  • Aftermarket and Reverse Logistics

End Users Covered:

  • Manufacturing
  • Retail and E-Commerce
  • Healthcare and Pharmaceuticals
  • Automotive
  • Food and Beverage
  • Consumer Goods
  • Logistics and Transportation
  • Aerospace and Defense
  • Energy and Utilities
  • Other End Users

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global Digital Supply Chain Platforms Market, By Component

  • 5.1 Software
    • 5.1.1 Supply Chain Planning
    • 5.1.2 Supply Chain Execution
    • 5.1.3 Visibility and Analytics
    • 5.1.4 Procurement and Sourcing
    • 5.1.5 Warehouse Management
    • 5.1.6 Transportation Management
  • 5.2 Services
    • 5.2.1 Professional Services
    • 5.2.2 Managed Services
    • 5.2.3 Support and Maintenance

6 Global Digital Supply Chain Platforms Market, By Deployment Mode

  • 6.1 Cloud-Based
  • 6.2 On-Premises
  • 6.3 Hybrid

7 Global Digital Supply Chain Platforms Market, By Technology

  • 7.1 Artificial Intelligence and Machine Learning
  • 7.2 Internet of Things (IoT)
  • 7.3 Blockchain
  • 7.4 Big Data and Analytics
  • 7.5 Robotic Process Automation (RPA)
  • 7.6 Cloud Computing
  • 7.7 Digital Twins

8 Global Digital Supply Chain Platforms Market, By Function

  • 8.1 Demand Planning and Forecasting
  • 8.2 Inventory Management
  • 8.3 Order Management
  • 8.4 Supplier Collaboration
  • 8.5 Logistics and Transportation
  • 8.6 Warehousing
  • 8.7 Aftermarket and Reverse Logistics

9 Global Digital Supply Chain Platforms Market, By End User

  • 9.1 Manufacturing
  • 9.2 Retail and E-Commerce
  • 9.3 Healthcare and Pharmaceuticals
  • 9.4 Automotive
  • 9.5 Food and Beverage
  • 9.6 Consumer Goods
  • 9.7 Logistics and Transportation
  • 9.8 Aerospace and Defense
  • 9.9 Energy and Utilities
  • 9.10 Other End Users

10 Global Digital Supply Chain Platforms Market, By Geography

  • 10.1 North America
    • 10.1.1 United States
    • 10.1.2 Canada
    • 10.1.3 Mexico
  • 10.2 Europe
    • 10.2.1 United Kingdom
    • 10.2.2 Germany
    • 10.2.3 France
    • 10.2.4 Italy
    • 10.2.5 Spain
    • 10.2.6 Netherlands
    • 10.2.7 Belgium
    • 10.2.8 Sweden
    • 10.2.9 Switzerland
    • 10.2.10 Poland
    • 10.2.11 Rest of Europe
  • 10.3 Asia Pacific
    • 10.3.1 China
    • 10.3.2 Japan
    • 10.3.3 India
    • 10.3.4 South Korea
    • 10.3.5 Australia
    • 10.3.6 Indonesia
    • 10.3.7 Thailand
    • 10.3.8 Malaysia
    • 10.3.9 Singapore
    • 10.3.10 Vietnam
    • 10.3.11 Rest of Asia Pacific
  • 10.4 South America
    • 10.4.1 Brazil
    • 10.4.2 Argentina
    • 10.4.3 Colombia
    • 10.4.4 Chile
    • 10.4.5 Peru
    • 10.4.6 Rest of South America
  • 10.5 Rest of the World (RoW)
    • 10.5.1 Middle East
      • 10.5.1.1 Saudi Arabia
      • 10.5.1.2 United Arab Emirates
      • 10.5.1.3 Qatar
      • 10.5.1.4 Israel
      • 10.5.1.5 Rest of Middle East
    • 10.5.2 Africa
      • 10.5.2.1 South Africa
      • 10.5.2.2 Egypt
      • 10.5.2.3 Morocco
      • 10.5.2.4 Rest of Africa

11 Strategic Market Intelligence

  • 11.1 Industry Value Network and Supply Chain Assessment
  • 11.2 White-Space and Opportunity Mapping
  • 11.3 Product Evolution and Market Life Cycle Analysis
  • 11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives

  • 12.1 Mergers and Acquisitions
  • 12.2 Partnerships, Alliances, and Joint Ventures
  • 12.3 New Product Launches and Certifications
  • 12.4 Capacity Expansion and Investments
  • 12.5 Other Strategic Initiatives

13 Company Profiles

  • 13.1 SAP SE
  • 13.2 Oracle Corporation
  • 13.3 Microsoft Corporation
  • 13.4 IBM Corporation
  • 13.5 Salesforce, Inc.
  • 13.6 Amazon Web Services, Inc.
  • 13.7 Blue Yonder Group, Inc.
  • 13.8 Manhattan Associates, Inc.
  • 13.9 Kinaxis Inc.
  • 13.10 Infor, Inc.
  • 13.11 Epicor Software Corporation
  • 13.12 Descartes Systems Group Inc.
  • 13.13 Coupa Software Inc.
  • 13.14 JDA Software Group, Inc.
  • 13.15 Logility, Inc.

List of Tables

  • Table 1 Global Digital Supply Chain Platforms Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Digital Supply Chain Platforms Market Outlook, By Component (2023-2034) ($MN)
  • Table 3 Global Digital Supply Chain Platforms Market Outlook, By Software (2023-2034) ($MN)
  • Table 4 Global Digital Supply Chain Platforms Market Outlook, By Supply Chain Planning (2023-2034) ($MN)
  • Table 5 Global Digital Supply Chain Platforms Market Outlook, By Supply Chain Execution (2023-2034) ($MN)
  • Table 6 Global Digital Supply Chain Platforms Market Outlook, By Visibility and Analytics (2023-2034) ($MN)
  • Table 7 Global Digital Supply Chain Platforms Market Outlook, By Procurement and Sourcing (2023-2034) ($MN)
  • Table 8 Global Digital Supply Chain Platforms Market Outlook, By Warehouse Management (2023-2034) ($MN)
  • Table 9 Global Digital Supply Chain Platforms Market Outlook, By Transportation Management (2023-2034) ($MN)
  • Table 10 Global Digital Supply Chain Platforms Market Outlook, By Services (2023-2034) ($MN)
  • Table 11 Global Digital Supply Chain Platforms Market Outlook, By Professional Services (2023-2034) ($MN)
  • Table 12 Global Digital Supply Chain Platforms Market Outlook, By Managed Services (2023-2034) ($MN)
  • Table 13 Global Digital Supply Chain Platforms Market Outlook, By Support and Maintenance (2023-2034) ($MN)
  • Table 14 Global Digital Supply Chain Platforms Market Outlook, By Deployment Mode (2023-2034) ($MN)
  • Table 15 Global Digital Supply Chain Platforms Market Outlook, By Cloud-Based (2023-2034) ($MN)
  • Table 16 Global Digital Supply Chain Platforms Market Outlook, By On-Premises (2023-2034) ($MN)
  • Table 17 Global Digital Supply Chain Platforms Market Outlook, By Hybrid (2023-2034) ($MN)
  • Table 18 Global Digital Supply Chain Platforms Market Outlook, By Technology (2023-2034) ($MN)
  • Table 19 Global Digital Supply Chain Platforms Market Outlook, By Artificial Intelligence and Machine Learning (2023-2034) ($MN)
  • Table 20 Global Digital Supply Chain Platforms Market Outlook, By Internet of Things (IoT) (2023-2034) ($MN)
  • Table 21 Global Digital Supply Chain Platforms Market Outlook, By Blockchain (2023-2034) ($MN)
  • Table 22 Global Digital Supply Chain Platforms Market Outlook, By Big Data and Analytics (2023-2034) ($MN)
  • Table 23 Global Digital Supply Chain Platforms Market Outlook, By Robotic Process Automation (RPA) (2023-2034) ($MN)
  • Table 24 Global Digital Supply Chain Platforms Market Outlook, By Cloud Computing (2023-2034) ($MN)
  • Table 25 Global Digital Supply Chain Platforms Market Outlook, By Digital Twins (2023-2034) ($MN)
  • Table 26 Global Digital Supply Chain Platforms Market Outlook, By Function (2023-2034) ($MN)
  • Table 27 Global Digital Supply Chain Platforms Market Outlook, By Demand Planning and Forecasting (2023-2034) ($MN)
  • Table 28 Global Digital Supply Chain Platforms Market Outlook, By Inventory Management (2023-2034) ($MN)
  • Table 29 Global Digital Supply Chain Platforms Market Outlook, By Order Management (2023-2034) ($MN)
  • Table 30 Global Digital Supply Chain Platforms Market Outlook, By Supplier Collaboration (2023-2034) ($MN)
  • Table 31 Global Digital Supply Chain Platforms Market Outlook, By Logistics and Transportation (2023-2034) ($MN)
  • Table 32 Global Digital Supply Chain Platforms Market Outlook, By Warehousing (2023-2034) ($MN)
  • Table 33 Global Digital Supply Chain Platforms Market Outlook, By Aftermarket and Reverse Logistics (2023-2034) ($MN)
  • Table 34 Global Digital Supply Chain Platforms Market Outlook, By End User (2023-2034) ($MN)
  • Table 35 Global Digital Supply Chain Platforms Market Outlook, By Manufacturing (2023-2034) ($MN)
  • Table 36 Global Digital Supply Chain Platforms Market Outlook, By Retail and E-Commerce (2023-2034) ($MN)
  • Table 37 Global Digital Supply Chain Platforms Market Outlook, By Healthcare and Pharmaceuticals (2023-2034) ($MN)
  • Table 38 Global Digital Supply Chain Platforms Market Outlook, By Automotive (2023-2034) ($MN)
  • Table 39 Global Digital Supply Chain Platforms Market Outlook, By Food and Beverage (2023-2034) ($MN)
  • Table 40 Global Digital Supply Chain Platforms Market Outlook, By Consumer Goods (2023-2034) ($MN)
  • Table 41 Global Digital Supply Chain Platforms Market Outlook, By Logistics and Transportation (2023-2034) ($MN)
  • Table 42 Global Digital Supply Chain Platforms Market Outlook, By Aerospace and Defense (2023-2034) ($MN)
  • Table 43 Global Digital Supply Chain Platforms Market Outlook, By Energy and Utilities (2023-2034) ($MN)
  • Table 44 Global Digital Supply Chain Platforms Market Outlook, By Other End Users (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) are also represented in the same manner as above.