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供应链分析市场 - 全球市场规模、份额、趋势分析、机会和预测报告，2019-2029
市场调查报告书
商品编码
1334453

供应链分析市场 - 全球市场规模、份额、趋势分析、机会和预测报告，2019-2029

Supply Chain Analytics Market - Global Size, Share, Trend Analysis, Opportunity and Forecast Report, 2019-2029, Segmented By Component ; By Deployment Mode ; By Organization Size ; By End User ; By Region
出版日期: | 出版商: Blueweave Consulting | 英文 400 Pages | 商品交期: 2-3个工作天内

价格
简介目录

到 2029 年，全球供应链分析市场规模将增长一倍以上，达到 495 亿美元

由于资料量持续高速增长和技术进步不断进步，全球供应链分析市场正在蓬勃发展。

领先的战略咨询和市场研究公司 BlueWeave Consulting 最近估计，2022 年全球供应链分析市场规模为 232.7 亿美元。 BlueWeave 预测，2023-2029 年预测期内，全球供应链分析市场规模将以 13.4% 的年复合成长率大幅增长，到 2029 年达到 494.7 亿美元。全球供应链分析市场的主要增长促进因素包括越来越多地采用基于云的分析平台，在供应链运营中整合人工智能、机器学习和物联网等先进技术，以及日益关注可持续性和风险管理。在。製造、零售、医疗保健、运输和消费品行业正在积极部署供应链分析解决方案，以提高竞争力、改善客户服务并推动业务增长。大资料分析、人工智能、机器学习和云计算方面的技术进步增强了供应链分析的能力，使公司能够处理大量资料、发现模式并获得可操作的见解。现在这一切都成为可能。可扩展、经济高效、基于云的分析平台的可用性使各种规模的公司都可以进行供应链分析。此外，越来越多的公司开始利用分析工具和技术来最佳化其供应链流程、提高运营效率并降低成本。然而，熟练劳动力数量有限、资料隐私问题以及日益增加的网络威胁预计将在预测期内抑制整个市场的增长。

该报告的详细分析提供了有关全球供应链分析市场的增长潜力、未来趋势和统计数据的信息。它还涵盖了推动市场总规模预测的因素。该报告致力于提供全球供应链分析市场的最新技术趋势以及行业见解，帮助决策者做出明智的战略决策。它还分析了市场的增长促进因素、挑战和竞争力。

目录

第1章研究框架

第2章执行摘要

第3章全球供应链分析的市场洞察

  • 行业价值链分析
  • DROC分析
    • 增长促进因素
      • 资料量增加
      • 技术即兴创作
    • 抑制因素
      • 技术人才短缺
      • 资料隐私问题和日益增长的网络威胁
    • 机会
      • 基于云的SCA解决方案
      • 提高业务成果的有效性
    • 任务
      • 实施和维护供应链分析解决方案相关的高成本
  • 技术进步/最新发展
  • 法律规范
  • 波特五力分析

第4章全球供应链分析市场概述

  • 2019-2029年市场规模及预测
    • 按金额
  • 市场份额及预测
    • 按成分
      • 解决
      • 物流分析
      • 製造分析
      • 规划/采购
      • 销售和运营分析
      • 可视化和报告
      • 服务
      • 专业的
      • 支持与维护
    • 按部署方式
      • 云
      • 本地
    • 按组织规模
      • 大公司
      • 中小企业 (SME)
    • 按最终用户
      • 零售和消费品
      • 卫生保健
      • 製造业
      • 交通设施
      • 航空航天和国防
      • 科技产品
      • 其他的
    • 按地区
      • 北美
      • 欧洲
      • 亚太地区 (APAC)
      • 拉丁美洲 (LATAM)
      • 中东和非洲 (MEA)

第5章北美供应链分析市场

  • 2019-2029年市场规模及预测
    • 按金额
  • 市场份额及预测
    • 按成分
    • 按部署方式
    • 按组织规模
    • 按最终用户
    • 按国家/地区
      • 美国
      • 加拿大

第6章欧洲供应链分析市场

  • 2019-2029年市场规模及预测
    • 按金额
  • 市场份额及预测
    • 按成分
    • 按部署方式
    • 按组织规模
    • 按最终用户
    • 按国家/地区
      • 德国
      • 英国
      • 意大利
      • 法国
      • 西班牙
      • 比利时
      • 俄罗斯
      • 荷兰
      • 其他欧洲国家

第7章亚太供应链分析市场

  • 2019-2029年市场规模及预测
    • 按金额
  • 市场份额及预测
    • 按成分
    • 按部署方式
    • 按组织规模
    • 按最终用户
    • 按国家/地区
      • 中国
      • 印度
      • 日本
      • 韩国
      • 澳大利亚和新西兰
      • 印尼
      • 马来西亚
      • 新加坡
      • 越南
      • 亚太地区其他地区

第8章拉丁美洲供应链分析市场

  • 2019-2029年市场规模及预测
    • 按金额
  • 市场份额及预测
    • 按成分
    • 按部署方式
    • 按组织规模
    • 按最终用户
    • 按国家/地区
      • 巴西
      • 墨西哥
      • 阿根廷
      • 秘鲁
      • 拉丁美洲其他地区

第9章中东和非洲供应链分析市场

  • 2019-2029年市场规模及预测
    • 按金额
  • 市场份额及预测
    • 按成分
    • 按部署方式
    • 按组织规模
    • 按最终用户
    • 按国家/地区
      • 沙特阿拉伯
      • 阿拉伯联合酋长国
      • 卡塔尔
      • 科威特
      • 南非
      • 尼日利亚
      • 阿尔及利亚
      • MEA 的其余部分

第10章竞争格局

  • 主要企业及其产品列表
  • 2022 年全球供应链分析市场份额分析
  • 通过运行参数进行竞争基准测试
  • 主要战略发展（合併、收购、合作伙伴关係等）

第11章COVID-19 对全球供应链分析市场的影响

第12章公司简介（公司简介、财务矩阵、竞争格局、关键人才、主要竞争、联繫地址、战略展望、SWOT分析）

  • Manhattan Associates Inc.
  • Tableau Software
  • Infor Inc.
  • Qlik technologies
  • Microstrategy
  • International Business Machines（IBM）Corporation
  • Oracle Corporation
  • Kinaxis
  • SAS Institute Inc.
  • SAP SE
  • Accenture PLC
  • Aera Technology
  • Capgemini SA
  • Genpact Limited
  • TIBCO Software Inc.
  • Other Prominent Players

第13章关键战略建议

第14章调查方法

  • 定性研究
    • 初级和次级研究
  • 定量研究
  • 市场细分和资料三角测量
    • 二次调查
    • 初步调查
  • 主要调查受访者的地区分布
  • 假设和限制
简介目录
Product Code: BWC23638

Global Supply Chain Analytics Market Size More Than Doubles to Reach USD 49.5 Billion by 2029.

Global supply chain analytics market is flourishing because of the continuous high growth in data volumes and increasing technological improvisations.

BlueWeave Consulting, a leading strategic consulting and market research firm, in its recent study, estimated the global supply chain analytics market size at USD 23.27 billion in 2022. During the forecast period between 2023 and 2029, BlueWeave expects global supply chain analytics market size to grow at a significant CAGR of 13.4% reaching a value of USD 49.47 billion by 2029. Major growth drivers for the global supply chain analytics market include an increasing adoption of cloud-based analytics platforms, the integration of advanced technologies like AI, ML, and IoT in supply chain operations, and a growing emphasis on sustainability and risk management. Manufacturing, retail, healthcare, transportation, and consumer goods industries are actively adopting supply chain analytics solutions to gain a competitive edge, improve customer service, and drive business growth. Technological advancements in big data analytics, AI, ML, and cloud computing have enhanced the capabilities of supply chain analytics, enabling organizations to process vast amounts of data, uncover patterns, and gain actionable insights. The availability of scalable and cost-effective cloud-based analytics platforms has made supply chain analytics more accessible to businesses of all sizes. Also, companies are increasingly leveraging analytics tools and technologies to optimize supply chain processes, improve operational efficiency, and reduce costs. However, limited number of skilled personnel, data privacy concerns, and increased cyber threats are anticipated to restrain the overall market growth during the forecast period.

Global Supply Chain Analytics Market - Overview:

The global supply chain analytics market refers to the market for analytics solutions and tools used to analyze and derive insights from supply chain data. Supply chain analytics involves collecting, processing, and interpreting data from various sources within the supply chain, such as inventory levels, demand patterns, transportation data, and supplier performance. These analytics solutions utilize advanced technologies such as big data analytics, artificial intelligence, machine learning, and data visualization to provide organizations with actionable insights and optimize their supply chain operations. The global supply chain analytics market encompasses software applications, platforms, and services that enable businesses to improve operational efficiency, make data-driven decisions, enhance inventory management, optimize logistics, and enhance overall supply chain performance.

Impact of COVID-19 on Global Supply Chain Analytics Market:

COVID-19 pandemic adversely affected the global supply chain analytics market. The disruptions caused by the pandemic, such as lockdowns, travel restrictions, and supply chain interruptions, have highlighted the need for resilient and agile supply chain operations. As a result, businesses recognized the value of supply chain analytics in managing risks, optimizing inventory, and enhancing operational efficiency. The demand for real-time visibility, predictive analytics, and scenario modeling increased, driving the adoption of supply chain analytics solutions. However, the economic uncertainties and budget constraints resulting from the pandemic also slowed down investments in new technologies, impacting the overall growth of the market.

Global Supply Chain Analytics Market - By Organization Size:

Based on organization size, the global supply chain analytics market is split into Large Enterprise and Small and Medium-sized Enterprises (SMEs) segments. The large enterprise segment held a higher share in the global supply chain analytics market in 2022. The large enterprises typically have complex and extensive supply chains, involving multiple suppliers, distribution channels, and global operations. Supply chain analytics enables them to gain visibility and insights into these intricate networks, allowing for better decision-making and optimization of resources. Notably, large enterprises have the financial resources to invest in advanced analytics solutions and technologies, giving them a competitive advantage in supply chain management. Also, the scalability and customization capabilities of supply chain analytics solutions align well with the diverse and evolving needs of large enterprises, making them a natural fit for this segment.

Competitive Landscape:

Major players operating in the global supply chain analytics market include: Manhattan Associates Inc., Tableau Software, Infor Inc., Qlik technologies, Microstrategy, International Business Machines (IBM) Corporation, Oracle Corporation, Kinaxis, SAS Institute Inc., SAP SE, Accenture PLC, Aera Technology, Capgemini SA, Genpact Limited, and TIBCO Software Inc. To further enhance their market share, these companies employ various strategies, including mergers and acquisitions, partnerships, joint ventures, license agreements, and new product launches.

The in-depth analysis of the report provides information about growth potential, upcoming trends, and statistics of Global Supply Chain Analytics Market. It also highlights the factors driving forecasts of total market size. The report promises to provide recent technology trends in Global Supply Chain Analytics Market and industry insights to help decision-makers make sound strategic decisions. Furthermore, the report also analyzes the growth drivers, challenges, and competitive dynamics of the market.

Table of Contents

1. Research Framework

  • 1.1. Research Objective
  • 1.2. Product Overview
  • 1.3. Market Segmentation

2. Executive Summary

3. Global Supply Chain Analytics Market Insights

  • 3.1. Industry Value Chain Analysis
  • 3.2. DROC Analysis
    • 3.2.1. Growth Drivers
      • 3.2.1.1. Growth of the data volume
      • 3.2.1.2. Technological improvisations
    • 3.2.2. Restraints
      • 3.2.2.1. Unavailability of skilled personnel
      • 3.2.2.2. Data privacy concerns and increased cyber threats
    • 3.2.3. Opportunities
      • 3.2.3.1. Cloud-based SCA solutions
      • 3.2.3.2. Improved effectiveness of business outcomes
    • 3.2.4. Challenges
      • 3.2.4.1. High cost associated with the implementation and maintenance of supply chain analytics solutions
  • 3.3. Technological Advancements/Recent Developments
  • 3.4. Regulatory Framework
  • 3.5. Porter's Five Forces Analysis
    • 3.5.1. Bargaining Power of Suppliers
    • 3.5.2. Bargaining Power of Buyers
    • 3.5.3. Threat of New Entrants
    • 3.5.4. Threat of Substitutes
    • 3.5.5. Intensity of Rivalry

4. Global Supply Chain Analytics Market Overview

  • 4.1. Market Size & Forecast, 2019-2029
    • 4.1.1. By Value (USD Million)
  • 4.2. Market Share and Forecast
    • 4.2.1. By Component
      • 4.2.1.1. Solution
      • 4.2.1.1.1. Logistics Analytics
      • 4.2.1.1.2. Manufacturing Analytics
      • 4.2.1.1.3. Planning and Procurement
      • 4.2.1.1.4. Sales and Operations Analytics
      • 4.2.1.1.5. Visualization and Reporting
      • 4.2.1.2. Service
      • 4.2.1.2.1. Professional
      • 4.2.1.2.2. Support and Maintenance
    • 4.2.2. By Deployment Mode
      • 4.2.2.1. Cloud
      • 4.2.2.2. On-premises
    • 4.2.3. By Organization Size
      • 4.2.3.1. Large Enterprise
      • 4.2.3.2. Small and Medium-sized Enterprises (SMEs)
    • 4.2.4. By End User
      • 4.2.4.1. Retail & Consumer Goods
      • 4.2.4.2. Healthcare
      • 4.2.4.3. Manufacturing
      • 4.2.4.4. Transportation
      • 4.2.4.5. Aerospace & Defense
      • 4.2.4.6. High Technology Products
      • 4.2.4.7. Others
    • 4.2.5. By Region
      • 4.2.5.1. North America
      • 4.2.5.2. Europe
      • 4.2.5.3. Asia Pacific (APAC)
      • 4.2.5.4. Latin America (LATAM)
      • 4.2.5.5. Middle East and Africa (MEA)

5. North America Supply Chain Analytics Market

  • 5.1. Market Size & Forecast, 2019-2029
    • 5.1.1. By Value (USD Million)
  • 5.2. Market Share & Forecast
    • 5.2.1. By Component
    • 5.2.2. By Deployment Mode
    • 5.2.3. By Organization Size
    • 5.2.4. By End User
    • 5.2.5. By Country
      • 5.2.5.1. United States
      • 5.2.5.1.1. By Component
      • 5.2.5.1.2. By Deployment Mode
      • 5.2.5.1.3. By Organization Size
      • 5.2.5.1.4. By End User
      • 5.2.5.2. Canada
      • 5.2.5.2.1. By Component
      • 5.2.5.2.2. By Deployment Mode
      • 5.2.5.2.3. By Organization Size
      • 5.2.5.2.4. By End User

6. Europe Supply Chain Analytics Market

  • 6.1. Market Size & Forecast, 2019-2029
    • 6.1.1. By Value (USD Million)
  • 6.2. Market Share & Forecast
    • 6.2.1. By Component
    • 6.2.2. By Deployment Mode
    • 6.2.3. By Organization Size
    • 6.2.4. By End User
    • 6.2.5. By Country
      • 6.2.5.1. Germany
      • 6.2.5.1.1. By Component
      • 6.2.5.1.2. By Deployment Mode
      • 6.2.5.1.3. By Organization Size
      • 6.2.5.1.4. By End User
      • 6.2.5.2. United Kingdom
      • 6.2.5.2.1. By Component
      • 6.2.5.2.2. By Deployment Mode
      • 6.2.5.2.3. By Organization Size
      • 6.2.5.2.4. By End User
      • 6.2.5.3. Italy
      • 6.2.5.3.1. By Component
      • 6.2.5.3.2. By Deployment Mode
      • 6.2.5.3.3. By Organization Size
      • 6.2.5.3.4. By End User
      • 6.2.5.4. France
      • 6.2.5.4.1. By Component
      • 6.2.5.4.2. By Deployment Mode
      • 6.2.5.4.3. By Organization Size
      • 6.2.5.4.4. By End User
      • 6.2.5.5. Spain
      • 6.2.5.5.1. By Component
      • 6.2.5.5.2. By Deployment Mode
      • 6.2.5.5.3. By Organization Size
      • 6.2.5.5.4. By End User
      • 6.2.5.6. Belgium
      • 6.2.5.6.1. By Component
      • 6.2.5.6.2. By Deployment Mode
      • 6.2.5.6.3. By Organization Size
      • 6.2.5.6.4. By End User
      • 6.2.5.7. Russia
      • 6.2.5.7.1. By Component
      • 6.2.5.7.2. By Deployment Mode
      • 6.2.5.7.3. By Organization Size
      • 6.2.5.7.4. By End User
      • 6.2.5.8. The Netherlands
      • 6.2.5.8.1. By Component
      • 6.2.5.8.2. By Deployment Mode
      • 6.2.5.8.3. By Organization Size
      • 6.2.5.8.4. By End User
      • 6.2.5.9. Rest of Europe
      • 6.2.5.9.1. By Component
      • 6.2.5.9.2. By Deployment Mode
      • 6.2.5.9.3. By Organization Size
      • 6.2.5.9.4. By End User

7. Asia-Pacific Supply Chain Analytics Market

  • 7.1. Market Size & Forecast, 2019-2029
    • 7.1.1. By Value (USD Million)
  • 7.2. Market Share & Forecast
    • 7.2.1. By Component
    • 7.2.2. By Deployment Mode
    • 7.2.3. By Organization Size
    • 7.2.4. By End User
    • 7.2.5. By Country
      • 7.2.5.1. China
      • 7.2.5.1.1. By Component
      • 7.2.5.1.2. By Deployment Mode
      • 7.2.5.1.3. By Organization Size
      • 7.2.5.1.4. By End User
      • 7.2.5.2. India
      • 7.2.5.2.1. By Component
      • 7.2.5.2.2. By Deployment Mode
      • 7.2.5.2.3. By Organization Size
      • 7.2.5.2.4. By End User
      • 7.2.5.3. Japan
      • 7.2.5.3.1. By Component
      • 7.2.5.3.2. By Deployment Mode
      • 7.2.5.3.3. By Organization Size
      • 7.2.5.3.4. By End User
      • 7.2.5.4. South Korea
      • 7.2.5.4.1. By Component
      • 7.2.5.4.2. By Deployment Mode
      • 7.2.5.4.3. By Organization Size
      • 7.2.5.4.4. By End User
      • 7.2.5.5. Australia & New Zealand
      • 7.2.5.5.1. By Component
      • 7.2.5.5.2. By Deployment Mode
      • 7.2.5.5.3. By Organization Size
      • 7.2.5.5.4. By End User
      • 7.2.5.6. Indonesia
      • 7.2.5.6.1. By Component
      • 7.2.5.6.2. By Deployment Mode
      • 7.2.5.6.3. By Organization Size
      • 7.2.5.6.4. By End User
      • 7.2.5.7. Malaysia
      • 7.2.5.7.1. By Component
      • 7.2.5.7.2. By Deployment Mode
      • 7.2.5.7.3. By Organization Size
      • 7.2.5.7.4. By End User
      • 7.2.5.8. Singapore
      • 7.2.5.8.1. By Component
      • 7.2.5.8.2. By Deployment Mode
      • 7.2.5.8.3. By Organization Size
      • 7.2.5.8.4. By End User
      • 7.2.5.9. Vietnam
      • 7.2.5.9.1. By Component
      • 7.2.5.9.2. By Deployment Mode
      • 7.2.5.9.3. By Organization Size
      • 7.2.5.9.4. By End User
      • 7.2.5.10. Rest of APAC
      • 7.2.5.10.1. By Component
      • 7.2.5.10.2. By Deployment Mode
      • 7.2.5.10.3. By Organization Size
      • 7.2.5.10.4. By End User

8. Latin America Supply Chain Analytics Market

  • 8.1. Market Size & Forecast, 2019-2029
    • 8.1.1. By Value (USD Million)
  • 8.2. Market Share & Forecast
    • 8.2.1. By Component
    • 8.2.2. By Deployment Mode
    • 8.2.3. By Organization Size
    • 8.2.4. By End User
    • 8.2.5. By Country
      • 8.2.5.1. Brazil
      • 8.2.5.1.1. By Component
      • 8.2.5.1.2. By Deployment Mode
      • 8.2.5.1.3. By Organization Size
      • 8.2.5.1.4. By End User
      • 8.2.5.2. Mexico
      • 8.2.5.2.1. By Component
      • 8.2.5.2.2. By Deployment Mode
      • 8.2.5.2.3. By Organization Size
      • 8.2.5.2.4. By End User
      • 8.2.5.3. Argentina
      • 8.2.5.3.1. By Component
      • 8.2.5.3.2. By Deployment Mode
      • 8.2.5.3.3. By Organization Size
      • 8.2.5.3.4. By End User
      • 8.2.5.4. Peru
      • 8.2.5.4.1. By Component
      • 8.2.5.4.2. By Deployment Mode
      • 8.2.5.4.3. By Organization Size
      • 8.2.5.4.4. By End User
      • 8.2.5.5. Rest of LATAM
      • 8.2.5.5.1. By Component
      • 8.2.5.5.2. By Deployment Mode
      • 8.2.5.5.3. By Organization Size
      • 8.2.5.5.4. By End User

9. Middle East & Africa Supply Chain Analytics Market

  • 9.1. Market Size & Forecast, 2019-2029
    • 9.1.1. By Value (USD Million)
  • 9.2. Market Share & Forecast
    • 9.2.1. By Component
    • 9.2.2. By Deployment Mode
    • 9.2.3. By Organization Size
    • 9.2.4. By End User
    • 9.2.5. By Country
      • 9.2.5.1. Saudi Arabia
      • 9.2.5.1.1. By Component
      • 9.2.5.1.2. By Deployment Mode
      • 9.2.5.1.3. By Organization Size
      • 9.2.5.1.4. By End User
      • 9.2.5.2. UAE
      • 9.2.5.2.1. By Component
      • 9.2.5.2.2. By Deployment Mode
      • 9.2.5.2.3. By Organization Size
      • 9.2.5.2.4. By End User
      • 9.2.5.3. Qatar
      • 9.2.5.3.1. By Component
      • 9.2.5.3.2. By Deployment Mode
      • 9.2.5.3.3. By Organization Size
      • 9.2.5.3.4. By End User
      • 9.2.5.4. Kuwait
      • 9.2.5.4.1. By Component
      • 9.2.5.4.2. By Deployment Mode
      • 9.2.5.4.3. By Organization Size
      • 9.2.5.4.4. By End User
      • 9.2.5.5. South Africa
      • 9.2.5.5.1. By Component
      • 9.2.5.5.2. By Deployment Mode
      • 9.2.5.5.3. By Organization Size
      • 9.2.5.5.4. By End User
      • 9.2.5.6. Nigeria
      • 9.2.5.6.1. By Component
      • 9.2.5.6.2. By Deployment Mode
      • 9.2.5.6.3. By Organization Size
      • 9.2.5.6.4. By End User
      • 9.2.5.7. Algeria
      • 9.2.5.7.1. By Component
      • 9.2.5.7.2. By Deployment Mode
      • 9.2.5.7.3. By Organization Size
      • 9.2.5.7.4. By End User
      • 9.2.5.8. Rest of MEA
      • 9.2.5.8.1. By Component
      • 9.2.5.8.2. By Deployment Mode
      • 9.2.5.8.3. By Organization Size
      • 9.2.5.8.4. By End User

10. Competitive Landscape

  • 10.1. List of Key Players and Their Offerings
  • 10.2. Global Supply Chain Analytics Market Share Analysis, 2022
  • 10.3. Competitive Benchmarking, By Operating Parameters
  • 10.4. Key Strategic Developments (Mergers, Acquisitions, Partnerships, etc.)

11. Impact of Covid-19 on Global Supply Chain Analytics Market

12. Company Profile (Company Overview, Financial Matrix, Competitive Landscape, Key Personnel, Key Competitors, Contact Address, Strategic Outlook, SWOT Analysis)

  • 12.1. Manhattan Associates Inc.
  • 12.2. Tableau Software
  • 12.3. Infor Inc.
  • 12.4. Qlik technologies
  • 12.5. Microstrategy
  • 12.6. International Business Machines (IBM) Corporation
  • 12.7. Oracle Corporation
  • 12.8. Kinaxis
  • 12.9. SAS Institute Inc.
  • 12.10. SAP SE
  • 12.11. Accenture PLC
  • 12.12. Aera Technology
  • 12.13. Capgemini SA
  • 12.14. Genpact Limited
  • 12.15. TIBCO Software Inc.
  • 12.16. Other Prominent Players

13. Key Strategic Recommendations

14. Research Methodology

  • 14.1. Qualitative Research
    • 14.1.1. Primary & Secondary Research
  • 14.2. Quantitative Research
  • 14.3. Market Breakdown & Data Triangulation
    • 14.3.1. Secondary Research
    • 14.3.2. Primary Research
  • 14.4. Breakdown of Primary Research Respondents, By Region
  • 14.5. Assumptions & Limitations