The artificial intelligence in supply chain market size has grown exponentially in recent years. It will grow from $4.92 billion in 2024 to $7.19 billion in 2025 at a compound annual growth rate (CAGR) of 46.2%. The growth in the historic period can be attributed to globalization, increasing complexity in supply chain networks, rising customer expectations, growth of e-commerce, demand for real-time information.
The artificial intelligence in supply chain market size is expected to see exponential growth in the next few years. It will grow to $30.81 billion in 2029 at a compound annual growth rate (CAGR) of 43.9%. The growth in the forecast period can be attributed to demand for predictive analytics in supply chain management, increasing focus on sustainability, growth of autonomous vehicles in logistics, rise in demand for real-time inventory visibility. Major trends in the forecast period include increasing use of machine learning for demand forecasting, rise of digital twins in supply chain optimization, growth in AI-powered robotic process automation, emphasis on supply chain resilience, adoption of AI-driven chatbots for customer service in logistics.
The anticipated rise in the penetration rate of internet users is set to drive the growth of the artificial intelligence in the supply chain market. Over the past three months, an increasing number of internet users have accessed the web. This surge in internet usage allows for the efficient collection and dissemination of information among all supply chain members online. Businesses can now easily and quickly check inventory status, warehouse activity, and product movement. Artificial intelligence (AI) plays a pivotal role in predicting future consumer demand patterns, reducing costs related to overstocking unwanted inventory. For instance, as of July 2023, Statistics Canada reports that internet usage among Canadians aged 15 and older increased from 92% in 2020 to 95% in 2022, with the most significant increase observed among Canadians aged 75 and older, reaching 72% in 2022. Consequently, the surge in internet user penetration is a driving force behind the growth of the artificial intelligence in the supply chain market.
The rising demand in the food and beverage industry is projected to drive the growth of artificial intelligence in the supply chain market in the future. The food and beverage industry encompasses a wide range of activities related to the production, processing, packaging, distribution, and retailing of food and drink products. Within this sector, artificial intelligence is utilized in the supply chain for effective inventory management, reducing the risk of stockouts, and optimizing distribution and logistics networks for timely and cost-efficient product delivery. For example, in April 2022, a report from Common Thread Collective, a US-based e-commerce growth agency, indicated that global food and beverage sales rose from $435.3 billion in 2021 to $506 billion in 2022, with projections suggesting a reach of $857 billion by 2025. Thus, the increasing demand in the food and beverage industry is fueling the growth of artificial intelligence in the supply chain market.
A noteworthy trend in the artificial intelligence in the supply chain market is the prevalence of technological advancements. Major companies operating in this market are actively adopting advanced technologies to maintain their market position. An illustrative example is project44, a US-based software development company, which launched Movement GPT in April 2023. Movement GPT, hailed as the first-ever AI supply chain assistant, aims to revolutionize the supply chain by leveraging generative AI's capabilities. This innovative solution provides a highly engaging, natural language interface for users to obtain crucial data and manage their shipments with greater ease.
Major companies in the artificial intelligence in the supply chain market are dedicated to introducing next-generation solutions, such as delivery drones, to deliver reliable services to customers. Delivery drones, unmanned aerial vehicles (UAVs) designed for last-mile delivery, operate with artificial intelligence to transport lightweight containers. For instance, Drone Express, a US-based aviation company, collaborated with Microsoft Corporation in December 2022 to launch the DE-2020 drone. Equipped with artificial intelligence for in-flight navigation and decision-making, the DE-2020 drone enhances intelligence, autonomy, and safety, particularly for eco-friendly package delivery in urban environments.
In July 2022, International Business Machines Corporation (IBM), a US-based technology firm, acquired Databand.ai for an undisclosed sum. This acquisition allows IBM to improve its data observability capabilities by incorporating Databand's expertise in monitoring and maintaining data quality. As a result, IBM can offer more comprehensive solutions for identifying and addressing data pipeline issues in real time, thereby enhancing the performance and reliability of data-driven applications. Databand.ai is a US-based software company that provides artificial intelligence solutions for the supply chain.
Major companies operating in the artificial intelligence in supply chain market include Amazon.com Inc., Google LLC, Samsung Electronics Co Ltd., Microsoft Corporation, DHL Group, FedEx Corporation, General Electric Company, Intel Corporation, The International Business Machines Corp, Oracle Corporation, SAP SE, Micron Technology Inc., NVIDIA Corporation, C.H. Robinson Worldwide Inc., Havi Logistics AS, Cainiao Smart Logistics Network Limited, Zebra Technologies Corporation, Flexport Inc., Xilinx Inc., Echo Global Logistics Inc., Epicor Software Corporation, Blue Yonder Inc., Symbotic LLC, E2open LLC., C3.AI Inc, Relex Solutions Private Limited, DataRobot Inc, Splice Machine Inc., Covariant Inc, Llamasoft Inc.
North America was the largest region in the artificial intelligence in supply chain market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence in supply chain market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence in supply chain market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Italy, Spain, Canada.
Artificial intelligence in the supply chain involves the application of human intelligence simulation mechanisms to organize and analyze extensive amounts of supply chain information, identify trends, and forecast future issues. This technology is utilized for inventory optimization and shortage management.
The main types of artificial intelligence in supply chain offerings include hardware, software, and services. Hardware refers to the physical components of a computer or delivery mechanisms that store and execute instructions provided by the software. Various technologies, such as machine learning, natural language processing, context-aware computing, and computer vision, are applied in areas such as fleet management, supply chain planning, warehouse management, virtual assistant systems, risk management, freight brokerage, and others. End-users of AI in the supply chain span across industries such as automotive, aerospace, manufacturing, retail, healthcare, consumer-packaged goods, and food and beverages.
The artificial intelligence in supply chain market research report is one of a series of new reports that provides artificial intelligence in supply chain market statistics, including artificial intelligence in supply chain industry global market size, regional shares, competitors with a artificial intelligence in supply chain market share, detailed artificial intelligence in supply chain market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence in supply chain industry. This artificial intelligence 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.
The artificial intelligence in supply chain market consists of revenues earned by entities through route optimization, predictive maintenance, and supplier management. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence in supply chain market also includes sales of warehouse robots, digital workers, and autonomous vehicles that are used in providing artificial intelligence in supply chain services. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
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.
This product will be delivered within 3-5 business days.
The artificial intelligence in supply chain market size is expected to see exponential growth in the next few years. It will grow to $30.81 billion in 2029 at a compound annual growth rate (CAGR) of 43.9%. The growth in the forecast period can be attributed to demand for predictive analytics in supply chain management, increasing focus on sustainability, growth of autonomous vehicles in logistics, rise in demand for real-time inventory visibility. Major trends in the forecast period include increasing use of machine learning for demand forecasting, rise of digital twins in supply chain optimization, growth in AI-powered robotic process automation, emphasis on supply chain resilience, adoption of AI-driven chatbots for customer service in logistics.
The anticipated rise in the penetration rate of internet users is set to drive the growth of the artificial intelligence in the supply chain market. Over the past three months, an increasing number of internet users have accessed the web. This surge in internet usage allows for the efficient collection and dissemination of information among all supply chain members online. Businesses can now easily and quickly check inventory status, warehouse activity, and product movement. Artificial intelligence (AI) plays a pivotal role in predicting future consumer demand patterns, reducing costs related to overstocking unwanted inventory. For instance, as of July 2023, Statistics Canada reports that internet usage among Canadians aged 15 and older increased from 92% in 2020 to 95% in 2022, with the most significant increase observed among Canadians aged 75 and older, reaching 72% in 2022. Consequently, the surge in internet user penetration is a driving force behind the growth of the artificial intelligence in the supply chain market.
The rising demand in the food and beverage industry is projected to drive the growth of artificial intelligence in the supply chain market in the future. The food and beverage industry encompasses a wide range of activities related to the production, processing, packaging, distribution, and retailing of food and drink products. Within this sector, artificial intelligence is utilized in the supply chain for effective inventory management, reducing the risk of stockouts, and optimizing distribution and logistics networks for timely and cost-efficient product delivery. For example, in April 2022, a report from Common Thread Collective, a US-based e-commerce growth agency, indicated that global food and beverage sales rose from $435.3 billion in 2021 to $506 billion in 2022, with projections suggesting a reach of $857 billion by 2025. Thus, the increasing demand in the food and beverage industry is fueling the growth of artificial intelligence in the supply chain market.
A noteworthy trend in the artificial intelligence in the supply chain market is the prevalence of technological advancements. Major companies operating in this market are actively adopting advanced technologies to maintain their market position. An illustrative example is project44, a US-based software development company, which launched Movement GPT in April 2023. Movement GPT, hailed as the first-ever AI supply chain assistant, aims to revolutionize the supply chain by leveraging generative AI's capabilities. This innovative solution provides a highly engaging, natural language interface for users to obtain crucial data and manage their shipments with greater ease.
Major companies in the artificial intelligence in the supply chain market are dedicated to introducing next-generation solutions, such as delivery drones, to deliver reliable services to customers. Delivery drones, unmanned aerial vehicles (UAVs) designed for last-mile delivery, operate with artificial intelligence to transport lightweight containers. For instance, Drone Express, a US-based aviation company, collaborated with Microsoft Corporation in December 2022 to launch the DE-2020 drone. Equipped with artificial intelligence for in-flight navigation and decision-making, the DE-2020 drone enhances intelligence, autonomy, and safety, particularly for eco-friendly package delivery in urban environments.
In July 2022, International Business Machines Corporation (IBM), a US-based technology firm, acquired Databand.ai for an undisclosed sum. This acquisition allows IBM to improve its data observability capabilities by incorporating Databand's expertise in monitoring and maintaining data quality. As a result, IBM can offer more comprehensive solutions for identifying and addressing data pipeline issues in real time, thereby enhancing the performance and reliability of data-driven applications. Databand.ai is a US-based software company that provides artificial intelligence solutions for the supply chain.
Major companies operating in the artificial intelligence in supply chain market include Amazon.com Inc., Google LLC, Samsung Electronics Co Ltd., Microsoft Corporation, DHL Group, FedEx Corporation, General Electric Company, Intel Corporation, The International Business Machines Corp, Oracle Corporation, SAP SE, Micron Technology Inc., NVIDIA Corporation, C.H. Robinson Worldwide Inc., Havi Logistics AS, Cainiao Smart Logistics Network Limited, Zebra Technologies Corporation, Flexport Inc., Xilinx Inc., Echo Global Logistics Inc., Epicor Software Corporation, Blue Yonder Inc., Symbotic LLC, E2open LLC., C3.AI Inc, Relex Solutions Private Limited, DataRobot Inc, Splice Machine Inc., Covariant Inc, Llamasoft Inc.
North America was the largest region in the artificial intelligence in supply chain market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence in supply chain market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence in supply chain market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Italy, Spain, Canada.
Artificial intelligence in the supply chain involves the application of human intelligence simulation mechanisms to organize and analyze extensive amounts of supply chain information, identify trends, and forecast future issues. This technology is utilized for inventory optimization and shortage management.
The main types of artificial intelligence in supply chain offerings include hardware, software, and services. Hardware refers to the physical components of a computer or delivery mechanisms that store and execute instructions provided by the software. Various technologies, such as machine learning, natural language processing, context-aware computing, and computer vision, are applied in areas such as fleet management, supply chain planning, warehouse management, virtual assistant systems, risk management, freight brokerage, and others. End-users of AI in the supply chain span across industries such as automotive, aerospace, manufacturing, retail, healthcare, consumer-packaged goods, and food and beverages.
The artificial intelligence in supply chain market research report is one of a series of new reports that provides artificial intelligence in supply chain market statistics, including artificial intelligence in supply chain industry global market size, regional shares, competitors with a artificial intelligence in supply chain market share, detailed artificial intelligence in supply chain market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence in supply chain industry. This artificial intelligence 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.
The artificial intelligence in supply chain market consists of revenues earned by entities through route optimization, predictive maintenance, and supplier management. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence in supply chain market also includes sales of warehouse robots, digital workers, and autonomous vehicles that are used in providing artificial intelligence in supply chain services. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
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.
This product will be delivered within 3-5 business days.
Table of Contents
1. Executive Summary2. Artificial Intelligence in Supply Chain Market Characteristics3. Artificial Intelligence in Supply Chain Market Trends and Strategies4. Artificial Intelligence in Supply Chain Market - Macro Economic Scenario including the impact of Interest Rates, Inflation, Geopolitics and Covid and Recovery on the Market32. Global Artificial Intelligence in Supply Chain Market Competitive Benchmarking and Dashboard33. Key Mergers and Acquisitions in the Artificial Intelligence in Supply Chain Market34. Recent Developments in the Artificial Intelligence in Supply Chain Market
5. Global Artificial Intelligence in Supply Chain Growth Analysis and Strategic Analysis Framework
6. Artificial Intelligence in Supply Chain Market Segmentation
7. Artificial Intelligence in Supply Chain Market Regional and Country Analysis
8. Asia-Pacific Artificial Intelligence in Supply Chain Market
9. China Artificial Intelligence in Supply Chain Market
10. India Artificial Intelligence in Supply Chain Market
11. Japan Artificial Intelligence in Supply Chain Market
12. Australia Artificial Intelligence in Supply Chain Market
13. Indonesia Artificial Intelligence in Supply Chain Market
14. South Korea Artificial Intelligence in Supply Chain Market
15. Western Europe Artificial Intelligence in Supply Chain Market
16. UK Artificial Intelligence in Supply Chain Market
17. Germany Artificial Intelligence in Supply Chain Market
18. France Artificial Intelligence in Supply Chain Market
19. Italy Artificial Intelligence in Supply Chain Market
20. Spain Artificial Intelligence in Supply Chain Market
21. Eastern Europe Artificial Intelligence in Supply Chain Market
22. Russia Artificial Intelligence in Supply Chain Market
23. North America Artificial Intelligence in Supply Chain Market
24. USA Artificial Intelligence in Supply Chain Market
25. Canada Artificial Intelligence in Supply Chain Market
26. South America Artificial Intelligence in Supply Chain Market
27. Brazil Artificial Intelligence in Supply Chain Market
28. Middle East Artificial Intelligence in Supply Chain Market
29. Africa Artificial Intelligence in Supply Chain Market
30. Artificial Intelligence in Supply Chain Market Competitive Landscape and Company Profiles
31. Artificial Intelligence in Supply Chain Market Other Major and Innovative Companies
35. Artificial Intelligence in Supply Chain Market High Potential Countries, Segments and Strategies
36. Appendix
Executive Summary
Artificial Intelligence in Supply Chain Global Market Report 2025 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses on artificial intelligence 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.
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Description
Where is the largest and fastest growing market for artificial intelligence 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? The artificial intelligence in supply chain market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, 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.
- 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 forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.
- 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. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
- 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 trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.
Scope
Markets Covered:
1) By Offering: Hardware; Software; Services2) By Technology: Machine Learning; Natural Language Processing; Context-Aware Computing; Computer Vision
3) By Application: Fleet Management; Supply Chain Planning; Warehouse Management; Virtual Assistant; Risk Management; Freight Brokerage; Other Applications
4) By End-User: Automotive; Aerospace; Manufacturing; Retail; Healthcare; Consumer-Packaged Goods; Food and Beverages
Subsegments:
1) By Hardware: Sensors and IoT Devices; Edge Computing Devices; Robotics and Automation Equipment2) By Software: AI-Powered Analytics Platforms; Supply Chain Management Software; Predictive Maintenance Software
3) By Services: Consulting Services; Integration Services; Managed Services and Support
Key Companies Mentioned: Amazon.com Inc.; Google LLC; Samsung Electronics Co Ltd.; Microsoft Corporation; DHL Group
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; 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 Segmentation: 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: PDF, Word and Excel Data Dashboard.
Companies Mentioned
- Amazon.com Inc.
- Google LLC
- Samsung Electronics Co Ltd.
- Microsoft Corporation
- DHL Group
- FedEx Corporation
- General Electric Company
- Intel Corporation
- The International Business Machines Corp
- Oracle Corporation
- SAP SE
- Micron Technology Inc.
- NVIDIA Corporation
- C.H. Robinson Worldwide Inc.
- Havi Logistics AS
- Cainiao Smart Logistics Network Limited
- Zebra Technologies Corporation
- Flexport Inc.
- Xilinx Inc.
- Echo Global Logistics Inc.
- Epicor Software Corporation
- Blue Yonder Inc.
- Symbotic LLC
- E2open LLC.
- C3.AI Inc
- Relex Solutions Private Limited
- DataRobot Inc
- Splice Machine Inc.
- Covariant Inc
- Llamasoft Inc.
Table Information
Report Attribute | Details |
---|---|
No. of Pages | 200 |
Published | February 2025 |
Forecast Period | 2025 - 2029 |
Estimated Market Value ( USD | $ 7.19 Billion |
Forecasted Market Value ( USD | $ 30.81 Billion |
Compound Annual Growth Rate | 43.9% |
Regions Covered | Global |
No. of Companies Mentioned | 30 |