공급망용 예측형 인공지능(AI) 시장 보고서(2026년)

Predictive artificial intelligence (AI) in supply chain refers to the use of artificial intelligence, machine learning techniques, and data analytics tools to anticipate future supply chain events and disruptions by analyzing historical and real-time information. It enables organizations to more accurately forecast customer demand, inventory requirements, supplier reliability, shipment delays, and operational risks.

The primary components of predictive artificial intelligence (AI) in supply chain include software and services. Software refers to AI-powered platforms that assess historical and real-time supply chain information to enhance forecasting accuracy, decision-making capabilities, and operational effectiveness. These solutions are deployed through on-premise, cloud-based, and hybrid environments and are tailored for large enterprises as well as small and medium enterprises. Their applications include demand forecasting, inventory management, procurement and sourcing, risk management, and other functions, serving industries such as retail, automotive, manufacturing, food and beverages, healthcare, and others.

Tariffs are influencing the predictive artificial intelligence (AI) in supply chain market by increasing the cost of importing advanced computing hardware, semiconductor chips, and cloud infrastructure components required for AI model deployment and data processing. This is raising implementation costs and slowing adoption of predictive AI solutions, particularly in manufacturing-heavy and import-dependent regions like Asia-Pacific and Latin America. Segments such as software platforms and AI model development services, along with retail, manufacturing, and automotive industries, are most affected due to dependence on global technology supply chains. However, tariffs are also driving investments in localized data centers, regional cloud infrastructure, and domestic AI capabilities, fostering innovation and long-term supply chain resilience.

The predictive artificial intelligence (AI) in supply chain market size has grown rapidly in recent years. It will grow from $2.4 billion in 2025 to $2.8 billion in 2026 at a compound annual growth rate (CAGR) of 16.6%. The growth in the historic period can be attributed to manual demand forecasting processes, fragmented supply chain data systems, reliance on historical sales data for planning, limited adoption of analytics in procurement, high inventory inefficiencies and stock imbalances.

The predictive artificial intelligence (AI) in supply chain market size is expected to see rapid growth in the next few years. It will grow to $5.21 billion in 2030 at a compound annual growth rate (CAGR) of 16.8%. The growth in the forecast period can be attributed to AI and machine learning adoption in supply chain planning, expansion of real-time data integration across logistics networks, growth of cloud-based supply chain platforms, increasing volatility in global trade and disruptions, rising demand for end-to-end supply chain visibility. Major trends in the forecast period include increasing adoption of AI-powered supply chain control towers, rising use of predictive analytics for inventory and warehouse optimization, expansion of digital twin models for supply chain simulation, growing integration of predictive risk management in procurement strategies, deployment of intelligent logistics optimization systems for cost reduction.

The expansion of e-commerce logistics operations is expected to drive the growth of the predictive artificial intelligence (AI) in supply chain market going forward. E-commerce logistics operations refer to transportation, warehousing, inventory management, order fulfillment, and delivery activities that support online retail and digital commerce transactions. The growth in e-commerce logistics operations is being fueled by increasing consumer preference for online shopping and faster delivery services across domestic and international markets. Predictive artificial intelligence (AI) in supply chain supports expanding e-commerce logistics operations by enhancing demand forecasting, optimizing inventory allocation, reducing transportation inefficiencies, and improving real-time supply chain visibility across fulfillment networks. For instance, in February 2026, according to the Census Bureau, a US-based government agency, U.S. retail e-commerce sales reached $326.7 billion in the first quarter of 2026, representing a 2.7% increase (+-0.5%) compared to the fourth quarter of 2025. Therefore, the expansion of e-commerce logistics operations is driving the growth of the predictive artificial intelligence (AI) in supply chain market.

Leading companies operating in predictive artificial intelligence (AI) in supply chain market are focusing on developing advanced solutions, such as generative supply chain orchestration platforms, to improve forecasting accuracy, automate operational planning, and strengthen supply chain resilience. Generative supply chain orchestration platforms refer to artificial intelligence systems that use large language models, predictive analytics, and real-time operational data to generate optimized recommendations for inventory planning, transportation management, supplier coordination, and logistics execution. For example, in October 2024, DHL Supply Chain, a Germany-based logistics company, implemented a suite of generative artificial intelligence applications to enhance data management, customer support, and proposal accuracy across its supply chain operations. The technology includes advanced data cleansing capabilities for logistics planning, automated analysis of customer request-for-quotation documents, and artificial intelligence-driven proposal generation tools that improve operational efficiency and accelerate customer response times. Additionally, the implementation enabled DHL Supply Chain to streamline internal decision-making processes by reducing manual effort in document interpretation and logistics data validation. The generative AI tools also supported faster and more accurate customer engagement by improving quotation turnaround times and enhancing the consistency of supply chain planning proposals.

In February 2023, WiseTech Global Limited, an Australia-based provider of cloud-based logistics execution and supply chain software solutions, acquired Blume Global for $414 million. Through this acquisition, WiseTech Global aimed to strengthen its AI-enabled logistics visibility, predictive tracking, and supply chain execution capabilities while expanding its presence in global transportation and warehouse management markets. Blume Global is a US-based provider of AI-powered supply chain visibility, logistics orchestration, and transportation management solutions.

Major companies operating in the predictive artificial intelligence (AI) in supply chain market are Amazon.com Inc.; Microsoft Corporation; Siemens AG; Deloitte Touche Tohmatsu Limited; International Business Machines Corporation; Oracle Corporation; Honeywell International Inc.; NVIDIA Corporation; SAP SE; Google LLC; Zebra Technologies Corporation; Manhattan Associates Inc.; E2open Parent Holdings Inc.; o9 Solutions Inc.; Kinaxis Inc.; RELEX Solutions; The Descartes Systems Group Inc.; C3.ai Inc.; LatentView Analytics Limited; ToolsGroup; StockIQ Technologies Inc.

North America was the largest region in the predictive artificial intelligence (AI) in supply chain market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the predictive artificial intelligence (AI) in supply chain market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the predictive artificial intelligence (AI) in supply chain market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The predictive artificial intelligence (AI) in supply chain market includes revenues earned by entities by providing services such as supplier performance analytics, warehouse automation support, real-time shipment tracking, procurement analytics, and production planning optimization. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

The predictive artificial intelligence (AI) in supply chain market research report is one of a series of new reports from The Business Research Company that provides predictive artificial intelligence (AI) in supply chain market statistics, including predictive artificial intelligence (AI) in supply chain industry global market size, regional shares, competitors with a predictive artificial intelligence (AI) in supply chain market share, detailed predictive artificial intelligence (AI) in supply chain market segments, market trends and opportunities, and any further data you may need to thrive in the predictive artificial intelligence (AI) in supply chain industry. This predictive artificial intelligence (AI) in supply chain market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

Predictive Artificial intelligence (AI) In Supply Chain Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses predictive artificial intelligence (ai) in supply chain market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

• Gain a truly global perspective with the most comprehensive report available on this market covering 16 geographies.
• Assess the impact of key macro factors such as geopolitical conflicts, trade policies and tariffs, inflation and interest rate fluctuations, and evolving regulatory landscapes.
• Create regional and country strategies on the basis of local data and analysis.
• Identify growth segments for investment.
• Outperform competitors using forecast data and the drivers and trends shaping the market.
• Understand customers based on end user analysis.
• Benchmark performance against key competitors based on market share, innovation, and brand strength.
• Evaluate the total addressable market (TAM) and market attractiveness scoring to measure market potential.
• Suitable for supporting your internal and external presentations with reliable high-quality data and analysis
• Report will be updated with the latest data and delivered to you within 2-3 working days of order along with an Excel data sheet for easy data extraction and analysis.
• All data from the report will also be delivered in an excel dashboard format.

Where is the largest and fastest growing market for predictive artificial intelligence (ai) in supply chain ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The predictive artificial intelligence (ai) in supply chain market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

• The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
• The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
• The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
• The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
• The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
• The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
• The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
• The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
• Market segmentations break down the market into sub markets.
• The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
• Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
• The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
• The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

Scope

• Markets Covered:1) By Component: Software; Services
• 2) By Deployment Mode: On Premise; Cloud Based; Hybrid
• 3) By Enterprise Size: Large Enterprises; Small And Medium Enterprises
• 4) By Application: Demand Forecasting; Inventory Management; Procurement And Sourcing; Risk Management; Other Applications
• 5) By End Use Industry: Retail; Automotive; Manufacturing; Food And Beverages; Healthcare; Other End Use Industries
• Subsegments:
• 1) By Software: Inventory Optimization Software; Supply Chain Planning Software; Transportation Management Software; Warehouse Management Software; Predictive Maintenance Software; Logistics Analytics Platforms; Real Time Visibility And Tracking Software
• 2) By Services: Consulting Services; System Integration Services; Artificial Intelligence Model Development Services; Training And Support Services; Maintenance And Upgrade Services; Data Analytics And Visualization Services; Supply Chain Optimization Services
• Companies Mentioned: Amazon.com Inc.; Microsoft Corporation; Siemens AG; Deloitte Touche Tohmatsu Limited; International Business Machines Corporation; Oracle Corporation; Honeywell International Inc.; NVIDIA Corporation; SAP SE; Google LLC; Zebra Technologies Corporation; Manhattan Associates Inc.; E2open Parent Holdings Inc.; o9 Solutions Inc.; Kinaxis Inc.; RELEX Solutions; The Descartes Systems Group Inc.; C3.ai Inc.; LatentView Analytics Limited; ToolsGroup; StockIQ Technologies Inc.
• Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
• Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
• Time Series: Five years historic and ten years forecast.
• Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
• Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
• Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
• Delivery Format: Word, PDF or Interactive Report
• + Excel Dashboard
• Added Benefits
• Bi-Annual Data Update
• Customisation
• Expert Consultant Support

Added Benefits available all on all list-price licence purchases, to be claimed at time of purchase. Customisations within report scope and limited to 20% of content and consultant support time limited to 8 hours.

Table of Contents

1. Executive Summary

• 1.1. Key Market Insights (2020-2035)
• 1.2. Visual Dashboard: Market Size, Growth Rate, Hotspots
• 1.3. Major Factors Driving the Market
• 1.4. Top Three Trends Shaping the Market

2. Predictive Artificial intelligence (AI) In Supply Chain Market Characteristics

• 2.1. Market Definition & Scope
• 2.2. Market Segmentations
• 2.3. Overview of Key Products and Services
• 2.4. Global Predictive Artificial intelligence (AI) In Supply Chain Market Attractiveness Scoring And Analysis
  • 2.4.1. Overview of Market Attractiveness Framework
  • 2.4.2. Quantitative Scoring Methodology
  • 2.4.3. Factor-Wise Evaluation
• Growth Potential Analysis, Competitive Dynamics Assessment, Strategic Fit Assessment And Risk Profile Evaluation
• 2.4.4. Market Attractiveness Scoring and Interpretation
• 2.4.5. Strategic Implications and Recommendations

3. Predictive Artificial intelligence (AI) In Supply Chain Market Supply Chain Analysis

• 3.1. Overview of the Supply Chain and Ecosystem
• 3.2. List Of Key Raw Materials, Resources & Suppliers
• 3.3. List Of Major Distributors and Channel Partners
• 3.4. List Of Major End Users

4. Global Predictive Artificial intelligence (AI) In Supply Chain Market Trends And Strategies

• 4.1. Key Technologies & Future Trends
  • 4.1.1 Artificial Intelligence & Autonomous Intelligence
  • 4.1.2 Internet of Things (IoT), Smart Infrastructure & Connected Ecosystems
  • 4.1.3 Digitalization, Cloud, Big Data & Cybersecurity
  • 4.1.4 Industry 4.0 & Intelligent Manufacturing
  • 4.1.5 Fintech, Blockchain, Regtech & Digital Finance
• 4.2. Major Trends
  • 4.2.1 Increasing Adoption Of AI Powered Supply Chain Control Towers
  • 4.2.2 Rising Use Of Predictive Analytics For Inventory And Warehouse Optimization
  • 4.2.3 Expansion Of Digital Twin Models For Supply Chain Simulation
  • 4.2.4 Growing Integration Of Predictive Risk Management In Procurement Strategies
  • 4.2.5 Deployment Of Intelligent Logistics Optimization Systems For Cost Reduction

5. Predictive Artificial intelligence (AI) In Supply Chain Market Analysis Of End Use Industries

• 5.1 Retail Industry
• 5.2 Automotive Industry
• 5.3 Manufacturing Industry
• 5.4 Food And Beverages Industry
• 5.5 Healthcare Industry

6. Predictive Artificial intelligence (AI) In Supply Chain Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, And Covid And Recovery On The Market

7. Global Predictive Artificial intelligence (AI) In Supply Chain Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

• 7.1. Global Predictive Artificial intelligence (AI) In Supply Chain PESTEL Analysis (Political, Economical, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
• 7.2. Global Predictive Artificial intelligence (AI) In Supply Chain Market Size, Comparisons And Growth Rate Analysis
• 7.3. Global Predictive Artificial intelligence (AI) In Supply Chain Historic Market Size and Growth, 2020 - 2025, Value ($ Billion)
• 7.4. Global Predictive Artificial intelligence (AI) In Supply Chain Forecast Market Size and Growth, 2025 - 2030, 2035F, Value ($ Billion)

8. Global Predictive Artificial intelligence (AI) In Supply Chain Total Addressable Market (TAM) Analysis for the Market

• 8.1. Definition and Scope of Total Addressable Market (TAM)
• 8.2. Methodology and Assumptions
• 8.3. Global Total Addressable Market (TAM) Estimation
• 8.4. TAM vs. Current Market Size Analysis
• 8.5. Strategic Insights and Growth Opportunities from TAM Analysis

9. Predictive Artificial intelligence (AI) In Supply Chain Market Segmentation

• 9.1. Global Predictive Artificial intelligence (AI) In Supply Chain Market, Segmentation By Component, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Software, Services
• 9.2. Global Predictive Artificial intelligence (AI) In Supply Chain Market, Segmentation By Deployment Mode, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• On Premise, Cloud Based, Hybrid
• 9.3. Global Predictive Artificial intelligence (AI) In Supply Chain Market, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Large Enterprises, Small And Medium Enterprises
• 9.4. Global Predictive Artificial intelligence (AI) In Supply Chain Market, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Demand Forecasting, Inventory Management, Procurement And Sourcing, Risk Management, Other Applications
• 9.5. Global Predictive Artificial intelligence (AI) In Supply Chain Market, Segmentation By End Use Industry, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Retail, Automotive, Manufacturing, Food And Beverages, Healthcare, Other End Use Industries
• 9.6. Global Predictive Artificial intelligence (AI) In Supply Chain Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Inventory Optimization Software, Supply Chain Planning Software, Transportation Management Software, Warehouse Management Software, Predictive Maintenance Software, Logistics Analytics Platforms, Real Time Visibility And Tracking Software
• 9.7. Global Predictive Artificial intelligence (AI) In Supply Chain Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• Consulting Services, System Integration Services, Artificial Intelligence Model Development Services, Training And Support Services, Maintenance And Upgrade Services, Data Analytics And Visualization Services, Supply Chain Optimization Services

10. Predictive Artificial intelligence (AI) In Supply Chain Market, Industry Metrics By Country

• 10.1. Global Predictive Artificial intelligence (AI) In Supply Chain Market, Average Selling Price By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $
• 10.2. Global Predictive Artificial intelligence (AI) In Supply Chain Market, Average Spending Per Capita (Employed) By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $

11. Predictive Artificial intelligence (AI) In Supply Chain Market Regional And Country Analysis

• 11.1. Global Predictive Artificial intelligence (AI) In Supply Chain Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
• 11.2. Global Predictive Artificial intelligence (AI) In Supply Chain Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

12. Asia-Pacific Predictive Artificial intelligence (AI) In Supply Chain Market

• 12.1. Asia-Pacific Predictive Artificial intelligence (AI) In Supply Chain Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 12.2. Asia-Pacific Predictive Artificial intelligence (AI) In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

13. China Predictive Artificial intelligence (AI) In Supply Chain Market

• 13.1. China Predictive Artificial intelligence (AI) In Supply Chain Market Overview
• Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 13.2. China Predictive Artificial intelligence (AI) In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

14. India Predictive Artificial intelligence (AI) In Supply Chain Market

• 14.1. India Predictive Artificial intelligence (AI) In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

15. Japan Predictive Artificial intelligence (AI) In Supply Chain Market

• 15.1. Japan Predictive Artificial intelligence (AI) In Supply Chain Market Overview
• Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 15.2. Japan Predictive Artificial intelligence (AI) In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

16. Australia Predictive Artificial intelligence (AI) In Supply Chain Market

• 16.1. Australia Predictive Artificial intelligence (AI) In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

17. Indonesia Predictive Artificial intelligence (AI) In Supply Chain Market

• 17.1. Indonesia Predictive Artificial intelligence (AI) In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

18. South Korea Predictive Artificial intelligence (AI) In Supply Chain Market

• 18.1. South Korea Predictive Artificial intelligence (AI) In Supply Chain Market Overview
• Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 18.2. South Korea Predictive Artificial intelligence (AI) In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

19. Taiwan Predictive Artificial intelligence (AI) In Supply Chain Market

• 19.1. Taiwan Predictive Artificial intelligence (AI) In Supply Chain Market Overview
• Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 19.2. Taiwan Predictive Artificial intelligence (AI) In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

20. South East Asia Predictive Artificial intelligence (AI) In Supply Chain Market

• 20.1. South East Asia Predictive Artificial intelligence (AI) In Supply Chain Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 20.2. South East Asia Predictive Artificial intelligence (AI) In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

21. Western Europe Predictive Artificial intelligence (AI) In Supply Chain Market

• 21.1. Western Europe Predictive Artificial intelligence (AI) In Supply Chain Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 21.2. Western Europe Predictive Artificial intelligence (AI) In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

22. UK Predictive Artificial intelligence (AI) In Supply Chain Market

• 22.1. UK Predictive Artificial intelligence (AI) In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

23. Germany Predictive Artificial intelligence (AI) In Supply Chain Market

• 23.1. Germany Predictive Artificial intelligence (AI) In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

24. France Predictive Artificial intelligence (AI) In Supply Chain Market

• 24.1. France Predictive Artificial intelligence (AI) In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

25. Italy Predictive Artificial intelligence (AI) In Supply Chain Market

• 25.1. Italy Predictive Artificial intelligence (AI) In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

26. Spain Predictive Artificial intelligence (AI) In Supply Chain Market

• 26.1. Spain Predictive Artificial intelligence (AI) In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

27. Eastern Europe Predictive Artificial intelligence (AI) In Supply Chain Market

• 27.1. Eastern Europe Predictive Artificial intelligence (AI) In Supply Chain Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 27.2. Eastern Europe Predictive Artificial intelligence (AI) In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

28. Russia Predictive Artificial intelligence (AI) In Supply Chain Market

• 28.1. Russia Predictive Artificial intelligence (AI) In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

29. North America Predictive Artificial intelligence (AI) In Supply Chain Market

• 29.1. North America Predictive Artificial intelligence (AI) In Supply Chain Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 29.2. North America Predictive Artificial intelligence (AI) In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

30. USA Predictive Artificial intelligence (AI) In Supply Chain Market

• 30.1. USA Predictive Artificial intelligence (AI) In Supply Chain Market Overview
• Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 30.2. USA Predictive Artificial intelligence (AI) In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

31. Canada Predictive Artificial intelligence (AI) In Supply Chain Market

• 31.1. Canada Predictive Artificial intelligence (AI) In Supply Chain Market Overview
• Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 31.2. Canada Predictive Artificial intelligence (AI) In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

32. South America Predictive Artificial intelligence (AI) In Supply Chain Market

• 32.1. South America Predictive Artificial intelligence (AI) In Supply Chain Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 32.2. South America Predictive Artificial intelligence (AI) In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

33. Brazil Predictive Artificial intelligence (AI) In Supply Chain Market

• 33.1. Brazil Predictive Artificial intelligence (AI) In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

34. Middle East Predictive Artificial intelligence (AI) In Supply Chain Market

• 34.1. Middle East Predictive Artificial intelligence (AI) In Supply Chain Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 34.2. Middle East Predictive Artificial intelligence (AI) In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

35. Africa Predictive Artificial intelligence (AI) In Supply Chain Market

• 35.1. Africa Predictive Artificial intelligence (AI) In Supply Chain Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 35.2. Africa Predictive Artificial intelligence (AI) In Supply Chain Market, Segmentation By Component, Segmentation By Deployment Mode, Segmentation By Enterprise Size, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

36. Predictive Artificial intelligence (AI) In Supply Chain Market Regulatory and Investment Landscape

37. Predictive Artificial intelligence (AI) In Supply Chain Market Competitive Landscape And Company Profiles

• 37.1. Predictive Artificial intelligence (AI) In Supply Chain Market Competitive Landscape And Market Share 2024
  • 37.1.1. Top 10 Companies (Ranked by revenue/share)
• 37.2. Predictive Artificial intelligence (AI) In Supply Chain Market - Company Scoring Matrix
  • 37.2.1. Market Revenues
  • 37.2.2. Product Innovation Score
  • 37.2.3. Brand Recognition
• 37.3. Predictive Artificial intelligence (AI) In Supply Chain Market Company Profiles
  • 37.3.1. Amazon.com Inc. Overview, Products and Services, Strategy and Financial Analysis
  • 37.3.2. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
  • 37.3.3. Siemens AG Overview, Products and Services, Strategy and Financial Analysis
  • 37.3.4. Deloitte Touche Tohmatsu Limited Overview, Products and Services, Strategy and Financial Analysis
  • 37.3.5. International Business Machines Corporation Overview, Products and Services, Strategy and Financial Analysis

38. Predictive Artificial intelligence (AI) In Supply Chain Market Other Major And Innovative Companies

• Oracle Corporation, Honeywell International Inc., NVIDIA Corporation, SAP SE, Google LLC, Zebra Technologies Corporation, Manhattan Associates Inc., E2open Parent Holdings Inc., o9 Solutions Inc., Kinaxis Inc., RELEX Solutions, The Descartes Systems Group Inc., C3.ai Inc., LatentView Analytics Limited, ToolsGroup

39. Global Predictive Artificial intelligence (AI) In Supply Chain Market Competitive Benchmarking And Dashboard

40. Upcoming Startups in the Market

41. Key Mergers And Acquisitions In The Predictive Artificial intelligence (AI) In Supply Chain Market

42. Predictive Artificial intelligence (AI) In Supply Chain Market High Potential Countries, Segments and Strategies

• 42.1. Predictive Artificial intelligence (AI) In Supply Chain Market In 2030 - Countries Offering Most New Opportunities
• 42.2. Predictive Artificial intelligence (AI) In Supply Chain Market In 2030 - Segments Offering Most New Opportunities
• 42.3. Predictive Artificial intelligence (AI) In Supply Chain Market In 2030 - Growth Strategies
  • 42.3.1. Market Trend Based Strategies
  • 42.3.2. Competitor Strategies

43. Appendix

• 43.1. Abbreviations
• 43.2. Currencies
• 43.3. Historic And Forecast Inflation Rates
• 43.4. Research Inquiries
• 43.5. The Business Research Company
• 43.6. Copyright And Disclaimer