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    Artificial Intelligence in Supply Chain Market

    ID: MRFR/ICT/5766-HCR
    100 Pages
    Ankit Gupta
    September 2025

    AI in Supply Chain Market Research Report Information By Component (Software, Network, Hardware, FPGA, GPU, and ASIC), By End-users (Automotive, Retail, and Manufacturing), By Technology (Machine Learning and Natural Language Processing), And By Region (North America, Europe, Asia-Pacific, And Rest Of The World) –Market Forecast Till 2032

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    Artificial Intelligence (AI) in Supply Chain Market Research Report – Global Forecast till 2032 Infographic
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    Table of Contents

    Artificial Intelligence in Supply Chain Market Summary

    As per Market Research Future Analysis, the AI in Supply Chain Market is projected to grow from USD 51.35 billion in 2024 to USD 85.3 billion by 2032, with a CAGR of 7.80% during the forecast period. The market was valued at USD 47.8 billion in 2023. Key drivers include improving supply chain performance and rising economic digitization, especially in emerging economies. However, challenges such as lack of technological expertise and rising labor costs may hinder growth.

    Key Market Trends & Highlights

    The AI in Supply Chain market is experiencing significant growth driven by various trends.

    • Market size in 2024: USD 51.35 billion; projected to reach USD 85.3 billion by 2032.
    • Software segment dominated the market due to continuous advancements in AI applications.
    • Retail segment held the majority share in 2022, leveraging machine learning for inventory decisions.
    • North America is the largest regional market, driven by developed economies and advanced technology adoption.

    Market Size & Forecast

    2023 Market Size USD 47.8 billion
    2024 Market Size USD 51.35 billion
    2032 Market Size USD 85.3 billion
    CAGR 7.80%

    Major Players

    Key players include Nvidia Corporation, IBM Corporation, Intel Corporation, Xilinx Inc., Samsung Electronics, Microsoft Corporation, Micron Technology, SAP SE, Oracle Corporation, Logility Inc., Amazon, and LLamasoft.

    Artificial Intelligence in Supply Chain Market Trends

    Rising economic digitization in emerging economies is driving the market growth

    Rising economic digitization, particularly in emerging economies, will be a major market growth driving factor. Surging demand for greater visibility and transparency in supply chain and logistics data, increasing generation of large amounts of data and information, increasing adoption by small and medium-sized businesses, and strengthening IT industries in developing economies such as India and China will all exacerbate market growth. The proliferation of cloud-based services and an ever-expanding set of benefits. Artificial intelligence (AI) is a technology that enables machines, software, and systems to compete in some areas with human intelligence and behavior.

    A system controls the AI, which interprets data and performs various tasks using complex algorithms.

    Artificial intelligence can be used throughout the supply chain, including data extraction, data analysis, supply and demand planning, and autonomous vehicle management. It can also gain access to warehouse procedures to improve product shipping, receiving, storing, picking, and management. Improving logistics can be accomplished by optimizing warehouse operations and distribution. AI-based solutions can help businesses improve supply-chain management performance and quality. Some examples include end-to-end visibility, demand forecasting methods, dynamic planning optimization, integrated business planning, and dimensional flow automation. However, a lack of technological expertise in underdeveloped and developing economies will hamper the market's growth.

    In addition, a lack of labor and rising labor costs will slow the market's growth rate. The lack of strong infrastructure facilities in developing economies and the complexities associated with artificial intelligence coding will also challenge market growth rates.

    Artificial intelligence has emerged as one of the most effective technologies in recent years, transforming the landscape of nearly every industrial vertical. Although AI and machine learning (ML)-based enterprise applications are still in their infancy, they are increasingly driving business innovation initiatives. The Artificial Intelligence In Supply Chain Market report offers a comprehensive market analysis. The report thoroughly examines key segments, trends, drivers, restraints, the competitive landscape, and factors that are significant in the market. Thus, driving AI in Supply Chain market revenue. The field of supply chain management is being quickly transformed by artificial intelligence (AI).

    Businesses may increase productivity, cut expenses, and make better decisions with the aid of AI-powered technologies.

    The integration of artificial intelligence within supply chains is poised to enhance operational efficiency and decision-making processes, reflecting a transformative shift in logistics management.

    U.S. Department of Commerce

    Artificial Intelligence in Supply Chain Market Drivers

    Market Growth Projections

    Growing Focus on Sustainability

    The Global AI in Supply Chain Market Industry is increasingly shaped by a growing focus on sustainability. Companies are under pressure to adopt environmentally friendly practices, and AI technologies can facilitate this transition. For example, AI can optimize logistics to reduce carbon footprints, with some firms achieving a 25 percent reduction in emissions through AI-enhanced route planning. This commitment to sustainability not only aligns with consumer preferences but also enhances brand reputation. As sustainability becomes a core business strategy, the demand for AI solutions that support eco-friendly supply chain practices is expected to rise, further driving market growth.

    Increased Demand for Efficiency

    The Global AI in Supply Chain Market Industry experiences heightened demand for operational efficiency as organizations seek to optimize their supply chain processes. AI technologies, such as predictive analytics and machine learning, enable companies to streamline operations, reduce costs, and enhance decision-making. For instance, firms leveraging AI-driven inventory management systems report a reduction in excess inventory by up to 30 percent. This drive for efficiency is projected to contribute to the market's growth, with an estimated value of 51.4 USD Billion in 2024, indicating a robust interest in AI solutions that enhance productivity and operational performance.

    Rising Complexity of Supply Chains

    The Global AI in Supply Chain Market Industry is significantly influenced by the increasing complexity of supply chains. As businesses expand globally, they encounter multifaceted logistical challenges, necessitating advanced solutions. AI applications, such as real-time tracking and demand forecasting, provide critical insights that help organizations navigate these complexities. For example, companies utilizing AI for route optimization can achieve delivery efficiency improvements of up to 20 percent. This complexity drives the adoption of AI technologies, which are expected to propel the market towards a valuation of 106.9 USD Billion by 2035, reflecting the need for sophisticated supply chain management tools.

    Enhanced Data Analytics Capabilities

    The Global AI in Supply Chain Market Industry benefits from advancements in data analytics capabilities, which empower organizations to make informed decisions. AI algorithms can analyze vast datasets to identify trends, forecast demand, and optimize inventory levels. For instance, businesses employing AI-driven analytics report a 15 percent increase in forecasting accuracy. This enhanced capability not only improves operational efficiency but also supports strategic planning. As organizations increasingly recognize the value of data-driven insights, the market is poised for growth, with a projected CAGR of 6.89 percent from 2025 to 2035, underscoring the importance of AI in supply chain analytics.

    Integration of IoT and AI Technologies

    The Global AI in Supply Chain Market Industry is significantly impacted by the integration of Internet of Things (IoT) and AI technologies. This convergence allows for real-time data collection and analysis, enhancing supply chain visibility and responsiveness. For instance, companies that implement IoT sensors in conjunction with AI analytics can achieve a 30 percent reduction in downtime through predictive maintenance. This synergy between IoT and AI not only improves operational efficiency but also fosters innovation in supply chain management. As organizations increasingly adopt these integrated technologies, the market is likely to witness substantial growth, reflecting the evolving landscape of supply chain solutions.

    Market Segment Insights

    AI in Supply Chain Component Insights

    Based on components, the AI in supply chain market segmentation includes software, network, hardware, FPGA, GPU, and ASIC. The software segment dominated the market, and Al is increasingly used in various applications. Al and related software development kits have seen continuous advancements. Furthermore, Al software is capable of intelligent behavior. Intelligent software is created by simulating a variety of capabilities, such as reasoning, learning, problem-solving, perception, and knowledge representation has enhanced the AI in Supply Chain market CAGR across the globe in recent years.

    Figure 2: AI in Supply Chain Market by Components, 2022 & 2032 (USD billion)

    Source: Secondary Research, Primary Research, Market Research Future Database and Analyst Review

    AI in Supply Chain End-users Insights

    Based on end-users, the AI in supply chain market segmentation includes automotive, retail, and manufacturing. The retail segment held the majority share in 2022 concerning the AI in Supply Chain market revenue. Machine learning algorithms and constraint-based modeling, a mathematical approach in which the outcome of each decision is constrained by a minimum and maximum range of limits, are being used to identify patterns and influential factors in supply chain data. This data-rich modeling enables warehouse managers to make more informed inventory stocking decisions.

    AI in Supply Chain Technology Insights

    Based on the technology, the AI in supply chain market data includes machine learning and natural language processing. Machine learning generated the most income. This expansion could be attributed to rising demand for AI-based intelligent solutions, increased government activities, and AI solutions' ability to handle and analyze large amounts of data efficiently and scan, process, and respond to anomalies quickly. In 2022, Computer Vision had the second-largest market share. The use of computer vision technologies in supply chain activities is rapidly expanding across various industrial verticals.

    The segment's growth is fueled by increased awareness of the benefits of AI and the availability of automation implants for AI in Supply Chains, positively impacting the market growth.

    Get more detailed insights about Artificial Intelligence (AI) in Supply Chain Market Research Report – Global Forecast till 2032

    Regional Insights

    By Region, the study provides market insights into North America, Europe, Asia-Pacific and the Rest of the World. The North America AI in Supply Chain market will dominate due to the presence of developed economies focusing on improving existing supply chain solutions, important participants in this industry, and a strong propensity to adopt sophisticated technology.

    Further, the major countries studied in the market report are The U.S., Canada, German, France, the UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil.

    Figure 3: AI IN SUPPLY CHAIN SHARE BY REGION 2022 (%)

    AI IN SUPPLY CHAIN SHARE BY REGION 2022 (%)

    Source: Secondary Research, Primary Research, Market Research Future Database and Analyst Review

    Europe’s AI in Supply Chain market accounts for the second-largest market share. This is due to the presence of a young and tech-savvy population in this region and the growing proliferation of the internet of things (IoT). Further, the German AI in Supply Chain market held the largest market share, and the UK AI in Supply Chain market was the fastest-growing market in the European region.

    The Asia Pacific AI in Supply Chain Market is expected to grow at the fastest CAGR from 2023 to 2030. The rapid development of the region's economy, the presence of a young and tech-savvy population in the region; the increasing popularity of the Internet of Things (IoT); the increase in disposable income; computer vision acceptance continues to grow; and the application of computer vision technology in many applications has grown. Furthermore, artificial intelligence-based solutions and services are becoming more prevalent in supply chain operations. The region's increased digitalization and improved connectivity infrastructure are also important factors.

    Moreover, India AI in Supply Chain market held the largest market share, and China AI in Supply Chain market was the fastest-growing market in the Asia Pacific region.

    Key Players and Competitive Insights

    Leading market players are investing heavily in research and development to expand their product lines, which will help the AI in Supply Chain market grow even more. Market participants are also undertaking various strategic activities to expand their footprint, with important market developments including new product launches, contractual agreements, mergers and acquisitions, higher investments, and collaboration with other organizations. To expand and survive in a more competitive and rising market climate, the AI in Supply Chain industry must offer cost-effective items.

    Manufacturing locally to minimize operational costs is one of the key business tactics manufacturers use in the AI in Supply Chain industry to benefit clients and increase the market sector. The AI in Supply Chain industry has recently offered some of the most significant medical advantages. Major players in the AI in Supply Chain market, including Nvidia Corporation, IBM Corporation, Intel Corporation, Xilinx Inc., Samsung Electronics, Microsoft Corporation, Micron Technology, SAP SE, Oracle Corporation, Logility Inc., Amazon, LLamasoft and others are attempting to increase market demand by investing in research and development operations.

    Nvidia Corporation NVIDIA pioneered accelerated computing to solve problems no one else could. Our work in artificial intelligence and the metaverse transforms the world's largest industries and profoundly impacts society. The metaverse, or 3D internet, promises a world where virtual collaboration is simple and industrial behemoths can reap the benefits of digital twins. NVIDIA OmniverseTM is a tool for creating and managing metaverse applications.

    IBM Corporation, bring together all of the necessary technology and services, regardless of source, to assist clients in solving the most pressing business problems. Transformation is evolving from one-time project to an urgent, purpose-driven imperative. Modern businesses must move faster while also exhibiting greater empathy and openness. IBM Consulting is a new partner for modern business's new rules. We embrace an open way of working by bringing together a diverse set of voices and technologies. We work closely together, freely ideate, and quickly apply breakthrough innovations that exponentially impact how business is done.

    We believe that open ecosystems, technologies, innovation, and cultures are critical to creating opportunities and charting the course for modern business and society.

    Key Companies in the Artificial Intelligence in Supply Chain Market market include

    Industry Developments

    • Q1 2024: IBM launches LogiGen AI, a generative AI solution for logistics and transportation IBM introduced LogiGen AI, a generative AI platform designed to optimize route planning, demand forecasting, and anomaly detection for logistics providers, aiming to enhance operational efficiency and supply chain agility.
    • Q2 2024: Sanofi deploys AI-driven supply chain management to mitigate €300 million in revenue risks Sanofi implemented advanced AI systems to manage its global supply chain, enabling the company to predict and avoid significant inventory risks and improve operational efficiency.
    • Q2 2024: AI-managed supply chains experience 47% more cyberattack attempts in 2024 The World Economic Forum highlighted a surge in cyberattack attempts targeting AI-powered supply chains, prompting companies to invest in advanced AI security solutions and risk mitigation strategies.
    • Q2 2024: DocShipper launches predictive logistics platform with 87% accuracy for shipping delay forecasts DocShipper unveiled a new AI-powered simulation platform that predicts shipping delays up to 9 days in advance, allowing clients to proactively implement mitigation strategies.
    • Q2 2024: IBM partners with Maersk to deploy generative AI for global supply chain optimization IBM and Maersk announced a strategic partnership to integrate generative AI into Maersk’s global logistics operations, focusing on network design optimization and autonomous planning.
    • Q2 2024: Sanofi appoints new Chief Digital Supply Chain Officer to lead AI transformation Sanofi named a new executive to oversee its digital supply chain initiatives, emphasizing the company’s commitment to AI-driven operational improvements.
    • Q2 2024: DHL opens new AI-powered logistics hub in Singapore DHL inaugurated a state-of-the-art logistics facility in Singapore featuring AI-driven warehouse automation and predictive analytics for supply chain management.
    • Q3 2024: Microsoft acquires supply chain AI startup ClearMetal Microsoft completed the acquisition of ClearMetal, a startup specializing in AI-powered supply chain visibility and predictive analytics, to bolster its enterprise cloud offerings.
    • Q3 2024: Amazon launches AI-powered digital twin platform for supply chain simulation Amazon introduced a new digital twin platform leveraging AI to simulate and optimize supply chain operations, enabling real-time scenario testing and autonomous implementation.
    • Q3 2024: FourKites raises $80M to expand AI-driven supply chain visibility solutions Supply chain technology company FourKites secured $80 million in funding to accelerate development of its AI-powered visibility and predictive analytics platform.
    • Q4 2024: Siemens and SAP announce joint AI initiative for supply chain resilience Siemens and SAP launched a collaborative initiative to develop AI-powered tools for enhancing supply chain resilience and real-time risk management.
    • Q1 2025: Flexport wins $100M contract to deploy AI logistics platform for US government supply chains Flexport secured a major contract to implement its AI-driven logistics platform across multiple US government supply chains, focusing on predictive analytics and operational efficiency.

    Future Outlook

    Artificial Intelligence in Supply Chain Market Future Outlook

    The AI in Supply Chain Market is poised for growth at 6.89% CAGR from 2024 to 2035, driven by automation, data analytics, and demand forecasting advancements.

    New opportunities lie in:

    • Invest in AI-driven predictive analytics tools to enhance inventory management efficiency.
    • Develop AI solutions for real-time supply chain visibility and risk management.
    • Leverage machine learning for optimizing logistics and transportation routes.

    By 2035, the AI in Supply Chain Market is expected to be a cornerstone of operational efficiency and innovation.

    Market Segmentation

    AI in Supply Chain Regional Outlook

    • North America
    • US
    • Canada
    • Europe
    • Germany
    • France
    • UK
    • Italy
    • Spain
    • Rest of Europe
    • Asia-Pacific
    • China
    • Japan
    • India
    • Australia
    • South Korea
    • Rest of Asia-Pacific
    • Rest of the World
    • Middle East
    • Africa
    • Latin America

    AI in Supply Chain Component Outlook

    • Software
    • Network
    • Hardware
    • FPGA
    • GPU
    • ASIC

    AI in Supply Chain End-users Outlook

    • Automotive
    • Retail
    • Manufacturing

    AI in Supply Chain Technology Outlook

    • Machine Learning
    • Natural Language Processing

    Report Scope

    Report Attribute/Metric Details
    Market Size 2023 USD 47.8 billion
    Market Size 2024 USD 51.35 billion
    Market Size 2032 USD 85.3 billion
    Compound Annual Growth Rate (CAGR) 7.80% (2024-2030)
    Base Year 2023
    Market Forecast Period 2024-2030
    Historical Data 2019- 2021
    Market Forecast Units Value (USD Billion)
    Report Coverage Revenue Forecast, Market Competitive Landscape, Growth Factors, and Trends
    Segments Covered Component, End-Users, Technology and Region
    Geographies Covered North America, Europe, Asia Pacific, and the Rest of the World
    Countries Covered The U.S., Canada, German, France, the UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil
    Key Companies Profiled Nvidia Corporation, IBM Corporation, Intel Corporation, Xilinx Inc., Samsung Electronics, Microsoft Corporation, Micron Technology, SAP SE, Oracle Corporation, Logility Inc., Amazon, LLamasoft
    Key Market Opportunities Improving overall supply chain performance.
    Key Market Dynamics Rising economic digitization, particularly in emerging economies

    Market Highlights

    Author
    Ankit Gupta
    Senior Research Analyst

    Ankit Gupta is an analyst in market research industry in ICT and SEMI industry. With post-graduation in "Telecom and Marketing Management" and graduation in "Electronics and Telecommunication" vertical he is well versed with recent development in ICT industry as a whole. Having worked on more than 150+ reports including consultation for fortune 500 companies such as Microsoft and Rio Tinto in identifying solutions with respect to business problems his opinions are inclined towards mixture of technical and managerial aspects.

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    FAQs

    How much is the AI in supply chain market?

    The AI in supply chain market size was valued at USD 47.8 Billion in 2023.

    What is the growth rate of the AI in supply chain market?

    The market is projected to grow at a CAGR of 7.80% during the forecast period, 2024-2030.

    Which region held the largest AI in supply chain market share?

    North America had the largest share of the market

    Who are the key players in the AI in supply chain market?

    The key players in the market are Nvidia Corporation, IBM Corporation, Intel Corporation, Xilinx Inc., Samsung Electronics, Microsoft Corporation, Micron Technology, SAP SE, Oracle Corporation, Logility Inc., Amazon, and LLamasoft.

    Which component led the AI in supply chain market?

    The software AI in supply chain category dominated the market in 2022.

    Which technology had the largest AI in supply chain market share?

    The machine learning had the largest share of the market.

    1. 'TABLE
    2. OF CONTENTS
    3. Executive Summary
    4. Scope of the Report
      1. Market Definition
    5. Scope of the Study
      1. Research Objectives
      2. Markets Structure
    6. Research Methodology
    7. Market Dynamics
      1. Market Drivers
        1. Increasing
    8. market growth of E-commerce
      1. Increasing growth in big data technology
    9. High demand for advanced solutions for transparency in supply chain process
    10. Market Restraints
      1. Lack of technical expertise
      2. Market Opportunities
    11. Increasing adoption of cloud-based software modules by supply chain industry
    12. Rising trend of deploying automation solutions by industries into their operations
    13. Growth in industry 4.0
      1. Market Challenges
        1. Data privacy
    14. Lack of connected systems in sectors such as retail and logistics
      1. Value
    15. Chain analysis
      1. Porter’s Five Forces Analysis
        1. Threat of New Entrants
    16. Bargaining Power of Buyers
      1. Threat of Substitutes
        1. Segment Rivalry
    17. Bargaining Power of Suppliers
    18. Market Alerts
      1. Impact Analysis of Emerging
    19. Technologies
      1. Use Cases
        1. Chatbots
        2. Autonomous Vehicles
    20. Supplier Relationship Management
      1. Government/Industry Norms and Regulations
    21. Artificial Intelligence (AI) in Supply Chain Market by Component
      1. Introduction
    22. Hardware
      1. Market Estimates & Forecast, 2023-2030
        1. Market
    23. Estimates & Forecast by Region, 2023-2030
      1. Processors
        1. Market
    24. Estimates & Forecast, 2023-2030
      1. Market Estimates & Forecast
    25. by Region, 2023-2030
      1. CPU
        1. Market Estimates & Forecast,
    26. GPU
    27. Market Estimates & Forecast, 2023-2030
      1. Market Estimates & Forecast
    28. by Region, 2023-2030
      1. ASICs
        1. Market Estimates & Forecast,
    29. FPGA
      1. Market Estimates & Forecast, 2023-2030
    30. Market Estimates & Forecast by Region, 2023-2030
      1. Memory
        1. Market
    31. Estimates & Forecast, 2023-2030
      1. Market Estimates & Forecast
    32. by Region, 2023-2030
      1. Network
        1. Market Estimates & Forecast,
    33. Artificial Intelligence (AI) in Supply Chain Market by Technology
      1. Introduction
    34. Machine Learning
      1. Market Estimates & Forecast, 2023-2030
    35. Market Estimates & Forecast by Region, 2023-2030
      1. Natural Language processing
    36. (NLP)
      1. Market Estimates & Forecast, 2023-2030
        1. Market
    37. Estimates & Forecast by Region, 2023-2030
      1. Context-aware computing
    38. Market Estimates & Forecast, 2023-2030
      1. Market Estimates & Forecast
    39. by Region, 2023-2030
      1. Computer Vision
        1. Market Estimates &
    40. Forecast, 2023-2030
      1. Market Estimates & Forecast by Region, 2023-2030
    41. Artificial Intelligence (AI) in Supply Chain Market by Deployment
      1. Introduction
    42. On-premise
      1. Market Estimates & Forecast, 2023-2030
        1. Market
    43. Estimates & Forecast by Region, 2023-2030
      1. On-cloud
        1. Market
    44. Estimates & Forecast, 2023-2030
      1. Market Estimates & Forecast
    45. by Region, 2023-2030
      1. Hybrid
        1. Market Estimates & Forecast, 2023-2030
    46. Market Estimates & Forecast by Region, 2023-2030
    47. Artificial Intelligence (AI)
    48. in Supply Chain Market by Applications
      1. Introduction
      2. Fleet management
    49. Market Estimates & Forecast, 2023-2030
      1. Market Estimates & Forecast
    50. by Region, 2023-2030
      1. Warehouse management
        1. Market Estimates &
    51. Forecast, 2023-2030
      1. Market Estimates & Forecast by Region, 2023-2030
    52. Supply chain planning
      1. Market Estimates & Forecast, 2023-2030
    53. Market Estimates & Forecast by Region, 2023-2030
      1. Logistics & shipping
    54. Market Estimates & Forecast, 2023-2030
      1. Market Estimates & Forecast
    55. by Region, 2023-2030
      1. Supplier relationship management
        1. Market Estimates &
    56. Forecast, 2023-2030
      1. Market Estimates & Forecast by Region, 2023-2030
    57. Risk management
      1. Market Estimates & Forecast, 2023-2030
    58. Market Estimates & Forecast by Region, 2023-2030
      1. Others
        1. Market
    59. Estimates & Forecast, 2023-2030
      1. Market Estimates & Forecast
    60. by Region, 2023-2030
    61. Artificial Intelligence (AI) in Supply Chain Market
    62. by Vertical
      1. Introduction
      2. Aerospace
        1. Market Estimates &
    63. Forecast, 2023-2030
      1. Market Estimates & Forecast by Region, 2023-2030
    64. Automotive
      1. Market Estimates & Forecast, 2023-2030
        1. Market
    65. Estimates & Forecast by Region, 2023-2030
      1. Retail
        1. Market
    66. Estimates & Forecast, 2023-2030
      1. Market Estimates & Forecast
    67. by Region, 2023-2030
      1. Manufacturing
        1. Market Estimates & Forecast,
        2. Market Estimates & Forecast by Region, 2023-2030
    68. Food & beverage
      1. Market Estimates & Forecast, 2023-2030
    69. Market Estimates & Forecast by Region, 2023-2030
      1. Consumer electronics
    70. Market Estimates & Forecast, 2023-2030
      1. Market Estimates & Forecast
    71. by Region, 2023-2030
      1. Others
        1. Market Estimates & Forecast,
        2. Market Estimates & Forecast by Region, 2023-2030
    72. Artificial Intelligence (AI) in Supply Chain Market by Region
      1. Introduction
    73. North America
      1. Market Estimates & Forecast by Country, 2023-2030
    74. Market Estimates & Forecast by Component, 2023-2030
      1. Market Estimates &
    75. Forecast by Technology, 2023-2030
      1. Market Estimates & Forecast by Deployment,
        1. Market Estimates & Forecast by Applications, 2023-2030
    76. Market Estimates & Forecast by End-Users, 2023-2030
      1. US
        1. Market
    77. Estimates & Forecast by Component, 2023-2030
      1. Market Estimates &
    78. Forecast by Technology, 2023-2030
      1. Market Estimates & Forecast by Deployment,
        1. Market Estimates & Forecast by Applications, 2023-2030
    79. Market Estimates & Forecast by End-Users, 2023-2030
      1. Mexico
        1. Market
    80. Estimates & Forecast by Component, 2023-2030
      1. Market Estimates &
    81. Forecast by Technology, 2023-2030
      1. Market Estimates & Forecast by Deployment,
        1. Market Estimates & Forecast by Applications, 2023-2030
    82. Market Estimates & Forecast by End-Users, 2023-2030
      1. Canada
        1. Market
    83. Estimates & Forecast by Component, 2023-2030
      1. Market Estimates &
    84. Forecast by Technology, 2023-2030
      1. Market Estimates & Forecast by Deployment,
        1. Market Estimates & Forecast by Applications, 2023-2030
    85. Market Estimates & Forecast by End-Users, 2023-2030
      1. Europe
        1. Market
    86. Estimates & Forecast by Country, 2023-2030
      1. Market Estimates &
    87. Forecast by Component, 2023-2030
      1. Market Estimates & Forecast by Technology,
        1. Market Estimates & Forecast by Deployment, 2023-2030
    88. Market Estimates & Forecast by Applications, 2023-2030
      1. Market Estimates &
    89. Forecast by End-Users, 2023-2030
      1. Germany
        1. Market Estimates &
    90. Forecast by Component, 2023-2030
      1. Market Estimates & Forecast by Technology,
        1. Market Estimates & Forecast by Deployment, 2023-2030
    91. Market Estimates & Forecast by Applications, 2023-2030
      1. Market Estimates &
    92. Forecast by End-Users, 2023-2030
      1. France
        1. Market Estimates &
    93. Forecast by Component, 2023-2030
      1. Market Estimates & Forecast by Technology,
        1. Market Estimates & Forecast by Deployment, 2023-2030
    94. Market Estimates & Forecast by Applications, 2023-2030
      1. Market Estimates &
    95. Forecast by End-Users, 2023-2030
      1. Italy
        1. Market Estimates &
    96. Forecast by Component, 2023-2030
      1. Market Estimates & Forecast by Technology,
        1. Market Estimates & Forecast by Deployment, 2023-2030
    97. Market Estimates & Forecast by Applications, 2023-2030
      1. Market Estimates &
    98. Forecast by End-Users, 2023-2030
      1. Spain
        1. Market Estimates &
    99. Forecast by Component, 2023-2030
      1. Market Estimates & Forecast by Technology,
        1. Market Estimates & Forecast by Deployment, 2023-2030
    100. Market Estimates & Forecast by Applications, 2023-2030
      1. Market Estimates &
    101. Forecast by End-Users, 2023-2030
      1. UK
        1. Market Estimates & Forecast
    102. by Component, 2023-2030
      1. Market Estimates & Forecast by Technology,
        1. Market Estimates & Forecast by Deployment, 2023-2030
    103. Market Estimates & Forecast by Applications, 2023-2030
      1. Market Estimates &
    104. Forecast by End-Users, 2023-2030
      1. Rest of Europe
        1. Market Estimates &
    105. Forecast by Component, 2023-2030
      1. Market Estimates & Forecast by Technology,
        1. Market Estimates & Forecast by Deployment, 2023-2030
    106. Market Estimates & Forecast by Applications, 2023-2030
      1. Market Estimates &
    107. Forecast by End-Users, 2023-2030
      1. Asia-Pacific
        1. Market Estimates &
    108. Forecast by Country, 2023-2030
      1. Market Estimates & Forecast by Component,
        1. Market Estimates & Forecast by Technology, 2023-2030
    109. Market Estimates & Forecast by Deployment, 2023-2030
      1. Market Estimates &
    110. Forecast by Applications, 2023-2030
      1. Market Estimates & Forecast
    111. by End-Users, 2023-2030
      1. China
        1. Market Estimates &
    112. Forecast by Component, 2023-2030
      1. Market Estimates & Forecast by Technology,
        1. Market Estimates & Forecast by Deployment, 2023-2030
    113. Market Estimates & Forecast by Applications, 2023-2030
      1. Market Estimates &
    114. Forecast by End-Users, 2023-2030
      1. India
        1. Market Estimates &
    115. Forecast by Component, 2023-2030
      1. Market Estimates & Forecast by Technology,
        1. Market Estimates & Forecast by Deployment, 2023-2030
    116. Market Estimates & Forecast by Applications, 2023-2030
      1. Market Estimates &
    117. Forecast by End-Users, 2023-2030
      1. Japan
        1. Market Estimates &
    118. Forecast by Component, 2023-2030
      1. Market Estimates & Forecast by Technology,
        1. Market Estimates & Forecast by Deployment, 2023-2030
    119. Market Estimates & Forecast by Applications, 2023-2030
      1. Market Estimates &
    120. Forecast by End-Users, 2023-2030
      1. Singapore
        1. Market Estimates &
    121. Forecast by Component, 2023-2030
      1. Market Estimates & Forecast by Technology,
        1. Market Estimates & Forecast by Deployment, 2023-2030
    122. Market Estimates & Forecast by Applications, 2023-2030
      1. Market Estimates &
    123. Forecast by End-Users, 2023-2030
      1. Rest of Asia-Pacific
        1. Market Estimates &
    124. Forecast by Component, 2023-2030
      1. Market Estimates & Forecast by Technology,
        1. Market Estimates & Forecast by Deployment, 2023-2030
    125. Market Estimates & Forecast by Applications, 2023-2030
      1. Market Estimates &
    126. Forecast by End-Users, 2023-2030
      1. Rest of the World
        1. Market Estimates &
    127. Forecast by Country, 2023-2030
      1. Market Estimates & Forecast by Component,
        1. Market Estimates & Forecast by Technology, 2023-2030
    128. Market Estimates & Forecast by Deployment, 2023-2030
      1. Market Estimates &
    129. Forecast by Applications, 2023-2030
      1. Market Estimates & Forecast
    130. by End-Users, 2023-2030
      1. Middle East & Africa
        1. Market
    131. Estimates & Forecast by Component, 2023-2030
      1. Market Estimates &
    132. Forecast by Technology, 2023-2030
      1. Market Estimates & Forecast by Deployment,
        1. Market Estimates & Forecast by Applications, 2023-2030
    133. Market Estimates & Forecast by End-Users, 2023-2030
      1. South America
    134. Market Estimates & Forecast by Component, 2023-2030
      1. Market Estimates &
    135. Forecast by Technology, 2023-2030
      1. Market Estimates & Forecast by Deployment,
        1. Market Estimates & Forecast by Applications, 2023-2030
    136. Market Estimates & Forecast by End-Users, 2023-2030
    137. Competitive Landscape
    138. Key Players Market Share Analysis, 2020/2020 (%)
      1. Competitive Benchmarking
    139. Key Developments Analysis, 2020/2020
      1. Mergers & Acquisition
    140. Product Developments
      1. Business Expansion
        1. Partnerships & Collaborations
    141. Agreements
    142. Company Profiles
      1. Nvidia Corporation
        1. Company Overview
    143. Product/Business Segment Overview
      1. Financial Updates
        1. Key Developments
    144. SWOT Analysis
      1. Key Strategy
      2. IBM corporation
        1. Company Overview
    145. Product/Business Segment Overview
      1. Financial Updates
        1. Key Developments
    146. SWOT Analysis
      1. Key Strategy
      2. Intel Corporation
        1. Company Overview
    147. Product/Business Segment Overview
      1. Financial Updates
        1. Key Developments
    148. SWOT Analysis
      1. Key Strategy
      2. Xilinx, Inc.
        1. Company Overview
    149. Product/Business Segment Overview
      1. Financial Updates
        1. Key Developments
    150. SWOT Analysis
      1. Key Strategy
      2. Samsung Electronics
        1. Company Overview
    151. Product/Business Segment Overview
      1. Financial Updates
        1. Key Developments
    152. SWOT Analysis
      1. Key Strategy
      2. Microsoft Corporation
        1. Company Overview
    153. Product/Business Segment Overview
      1. Financial Updates
        1. Key Developments
    154. SWOT Analysis
      1. Key Strategy
      2. Micron Technology
        1. Company Overview
    155. Product/Business Segment Overview
      1. Financial Updates
        1. Key Developments
    156. SWOT Analysis
      1. Key Strategy
      2. SAP SE
        1. Company Overview
        2. Product/Business
    157. Segment Overview
      1. Financial Updates
        1. Key Developments
    158. SWOT Analysis
      1. Key Strategy
      2. Oracle Corporation
        1. Company Overview
    159. Product/Business Segment Overview
      1. Financial Updates
        1. Key Developments
    160. SWOT Analysis
      1. Key Strategy
      2. Logility, Inc.
        1. Company Overview
    161. Product/Business Segment Overview
      1. Financial Updates
        1. Key Developments
    162. SWOT Analysis
      1. Key Strategy
      2. Amazon
        1. Company Overview
    163. Product/Business Segment Overview
      1. Financial Updates
        1. Key Developments
    164. SWOT Analysis
      1. Key Strategy
      2. LLamasoft, Inc
        1. Company Overview
    165. Product/Business Segment Overview
      1. Financial Updates
        1. Key Developments
    166. SWOT Analysis
      1. Key Strategy
    167. Conclusion/Recommendations
    168. Artificial Intelligence (AI) in Supply Chain Market, by Region, 2023-2030
    169. North America: Artificial Intelligence (AI) in Supply Chain Market, by Country,
    170. by Country, 2023-2030
    171. Chain Market, by Country, 2023-2030
    172. Intelligence (AI) in Supply Chain Market, by Country, 2023-2030
    173. America: Casino Management System Component Market, by Country, 2023-2030
    174. Europe: Casino Management System Component Market, by Country, 2023-2030
    175. Asia-Pacific: Casino Management System Component Market, by Country, 2023-2030
    176. Rest of the World: Casino Management System Component Market, by Country, 2023-2030
    177. Global Casino Management System Component Market, by Region, 2023-2030
    178. North America: Casino Management System Component Market, by Country, 2023-2030
    179. Europe: Casino Management System Component Market, by Country, 2023-2030
    180. Asia-Pacific: Casino Management System Component Market, by Country, 2023-2030
    181. Rest of the World: Casino Management System Component Market, by Country, 2023-2030
    182. Global Casino Management System Applications Market, by Region, 2023-2030
    183. North America: Casino Management System Applications Market, by Country, 2023-2030
    184. Europe: Casino Management System Applications Market, by Country, 2023-2030
    185. Asia-Pacific: Casino Management System Applications Market, by Country, 2023-2030
    186. Rest of the World: Casino Management System Applications Market, by Country,
    187. (AI) in Supply Chain Market Segmentation
    188. Porter’s Five Forces Analysis of Global Artificial Intelligence (AI) in
    189. Supply Chain Market
    190. (AI) in Supply Chain Market
    191. (AI) in Supply Chain Market in 2020, by Country (in %)
    192. (AI) in Supply Chain Market, 2023-2030
    193. Global Artificial Intelligence (AI) in Supply Chain Market Size, by Component,
    194. Market, by Component, 2020 to 2027
    195. Supply Chain Market Size, by Component, 2020
    196. Intelligence (AI) in Supply Chain Market, by Component, 2020 to 2027
    197. Global Artificial Intelligence (AI) in Supply Chain Market Size, by Applications,
    198. Market, by Applications, 2020 to 2027'

    AI in Supply Chain Market Segmentation

    AI in Supply Chain Component Outlook (USD Billion, 2019-2030)

    • Software
    • Network
    • Hardware
    • FPGA
    • GPU
    • ASIC

    AI in Supply Chain End-users Outlook (USD Billion, 2019-2030)

    • Automotive
    • Retail
    • Manufacturing

    AI in Supply Chain Technology Outlook (USD Billion, 2019-2030)

    • Machine Learning
    • Natural Language Processing

    AI in Supply Chain Regional Outlook (USD Billion, 2019-2030)

    • North America Outlook (USD Billion, 2019-2030)

      • North America AI in Supply Chain by Component
        • Software
        • Network
        • Hardware
        • FPGA
        • GPU
        • ASIC
      • North America AI in Supply Chain by End-users
        • Automotive
        • Retail
        • Manufacturing
      • North America AI in Supply Chain by Technology
        • Machine Learning
        • Natural Language Processing
      • US Outlook (USD Billion, 2019-2030)

      • US AI in Supply Chain by Component
        • Software
        • Network
        • Hardware
        • FPGA
        • GPU
        • ASIC
      • US AI in Supply Chain by End-users
        • Automotive
        • Retail
        • Manufacturing
      • US AI in Supply Chain by Technology
        • Machine Learning
        • Natural Language Processing
      • CANADA Outlook (USD Billion, 2019-2030)

      • CANADA AI in Supply Chain by Component
        • Software
        • Network
        • Hardware
        • FPGA
        • GPU
        • ASIC
      • CANADA AI in Supply Chain by End-users
        • Automotive
        • Retail
        • Manufacturing
      • CANADA AI in Supply Chain by Technology
        • Machine Learning
        • Natural Language Processing
    • Europe Outlook (USD Billion, 2019-2030)

      • Europe AI in Supply Chain by Component
        • Software
        • Network
        • Hardware
        • FPGA
        • GPU
        • ASIC
      • Europe AI in Supply Chain by End-users
        • Automotive
        • Retail
        • Manufacturing
      • Europe AI in Supply Chain by Technology
        • Machine Learning
        • Natural Language Processing
      • Germany Outlook (USD Billion, 2019-2030)

      • Germany AI in Supply Chain by Component
        • Software
        • Network
        • Hardware
        • FPGA
        • GPU
        • ASIC
      • Germany AI in Supply Chain by End-users
        • Automotive
        • Retail
        • Manufacturing
      • Germany AI in Supply Chain by Technology
        • Machine Learning
        • Natural Language Processing
      • France Outlook (USD Billion, 2019-2030)

      • France AI in Supply Chain by Component
        • Software
        • Network
        • Hardware
        • FPGA
        • GPU
        • ASIC
      • France AI in Supply Chain by End-users
        • Automotive
        • Retail
        • Manufacturing
      • France AI in Supply Chain by Technology
        • Machine Learning
        • Natural Language Processing
      • UK Outlook (USD Billion, 2019-2030)

      • UK AI in Supply Chain by Component
        • Software
        • Network
        • Hardware
        • FPGA
        • GPU
        • ASIC
      • UK AI in Supply Chain by End-users
        • Automotive
        • Retail
        • Manufacturing
      • UK AI in Supply Chain by Technology
        • Machine Learning
        • Natural Language Processing
      • ITALY Outlook (USD Billion, 2019-2030)

      • ITALY AI in Supply Chain by Component
        • Software
        • Network
        • Hardware
        • FPGA
        • GPU
        • ASIC
      • ITALY AI in Supply Chain by End-users
        • Automotive
        • Retail
        • Manufacturing
      • ITALY AI in Supply Chain by Technology
        • Machine Learning
        • Natural Language Processing
      • SPAIN Outlook (USD Billion, 2019-2030)

      • Spain AI in Supply Chain by Component
        • Software
        • Network
        • Hardware
        • FPGA
        • GPU
        • ASIC
      • Spain AI in Supply Chain by End-users
        • Automotive
        • Retail
        • Manufacturing
      • Spain AI in Supply Chain by Technology
        • Machine Learning
        • Natural Language Processing
      • Rest of Europe Outlook (USD Billion, 2019-2030)

      • Rest of Europe AI in Supply Chain by Component
        • Software
        • Network
        • Hardware
        • FPGA
        • GPU
        • ASIC
      • REST OF EUROPE AI in Supply Chain by End-users
        • Automotive
        • Retail
        • Manufacturing
      • REST OF EUROPE AI in Supply Chain by Technology
        • Machine Learning
        • Natural Language Processing
    • Asia-Pacific Outlook (USD Billion, 2019-2030)

      • Asia-Pacific AI in Supply Chain by Component
        • Software
        • Network
        • Hardware
        • FPGA
        • GPU
        • ASIC
      • Asia-Pacific AI in Supply Chain by End-users
        • Automotive
        • Retail
        • Manufacturing
      • Asia-Pacific AI in Supply Chain by Technology
        • Machine Learning
        • Natural Language Processing
      • China Outlook (USD Billion, 2019-2030)

      • China AI in Supply Chain by Component
        • Software
        • Network
        • Hardware
        • FPGA
        • GPU
        • ASIC
      • China AI in Supply Chain by End-users
        • Automotive
        • Retail
        • Manufacturing
      • China AI in Supply Chain by Technology
        • Machine Learning
        • Natural Language Processing
      • Japan Outlook (USD Billion, 2019-2030)

      • Japan AI in Supply Chain by Component
        • Software
        • Network
        • Hardware
        • FPGA
        • GPU
        • ASIC
      • Japan AI in Supply Chain by End-users
        • Automotive
        • Retail
        • Manufacturing
      • Japan AI in Supply Chain by Technology
        • Machine Learning
        • Natural Language Processing
      • India Outlook (USD Billion, 2019-2030)

      • India AI in Supply Chain by Component
        • Software
        • Network
        • Hardware
        • FPGA
        • GPU
        • ASIC
      • India AI in Supply Chain by End-users
        • Automotive
        • Retail
        • Manufacturing
      • India AI in Supply Chain by Technology
        • Machine Learning
        • Natural Language Processing
      • Australia Outlook (USD Billion, 2019-2030)

      • Australia AI in Supply Chain by Component
        • Software
        • Network
        • Hardware
        • FPGA
        • GPU
        • ASIC
      • Australia AI in Supply Chain by End-users
        • Automotive
        • Retail
        • Manufacturing
      • Australia AI in Supply Chain by Technology
        • Machine Learning
        • Natural Language Processing
      • Rest of Asia-Pacific Outlook (USD Billion, 2019-2030)

      • Rest of Asia-Pacific AI in Supply Chain by Component
        • Software
        • Network
        • Hardware
        • FPGA
        • GPU
        • ASIC
      • Rest of Asia-Pacific AI in Supply Chain by End-users
        • Automotive
        • Retail
        • Manufacturing
      • Rest of Asia-Pacific AI in Supply Chain by Technology
        • Machine Learning
        • Natural Language Processing
    • Rest of the World Outlook (USD Billion, 2019-2030)

      • Rest of the World AI in Supply Chain by Component
        • Software
        • Network
        • Hardware
        • FPGA
        • GPU
        • ASIC
      • Rest of the World AI in Supply Chain by End-users
        • Automotive
        • Retail
        • Manufacturing
      • Rest of the World AI in Supply Chain by Technology
        • Machine Learning
        • Natural Language Processing
      • Middle East Outlook (USD Billion, 2019-2030)

      • Middle East AI in Supply Chain by Component
        • Software
        • Network
        • Hardware
        • FPGA
        • GPU
        • ASIC
      • Middle East AI in Supply Chain by End-users
        • Automotive
        • Retail
        • Manufacturing
      • Middle East AI in Supply Chain by Technology
        • Machine Learning
        • Natural Language Processing
      • Africa Outlook (USD Billion, 2019-2030)

      • Africa AI in Supply Chain by Component
        • Software
        • Network
        • Hardware
        • FPGA
        • GPU
        • ASIC
      • Africa AI in Supply Chain by End-users
        • Automotive
        • Retail
        • Manufacturing
      • Africa AI in Supply Chain by Technology
        • Machine Learning
        • Natural Language Processing
      • Latin America Outlook (USD Billion, 2019-2030)

      • Latin America AI in Supply Chain by Component
        • Software
        • Network
        • Hardware
        • FPGA
        • GPU
        • ASIC
      • Latin America AI in Supply Chain by End-users
        • Automotive
        • Retail
        • Manufacturing
      • Latin America AI in Supply Chain by Technology
        • Machine Learning
        • Natural Language Processing
    Artificial Intelligence (AI) in Supply Chain Market Research Report – Global Forecast till 2032 Infographic
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