Global Artificial Intelligence in Supply Chain Market Assessment, By Component [Hardware, Software, Services], By Size [Small-scale Business, Mid-scale Business, Large-scale Enterprise], By Solution Type [Fleet Management, Risk Management, Supply Chain Planning, Warehousing Management, Virtual Assistant, Freight and Shipping Management, Others], By End-user [Automotive, Healthcare, Aerospace, Manufacturing, Retail, Food and Beverages, Other], By Region, Opportunities and Forecast, 2017-2031F

Global artificial intelligence in supply chain market size was valued at USD 5.05 billion in 2023, which is expected to reach USD 31.08 billion in 2031, with a CAGR of 25.5% for the forecast period between 2024 and 2031.

Home>Industry Reports>Global Artificial Intelligence in Supply Chain Market Assessment, Opportunities and Forecast, 2016-2030F

Global artificial intelligence in supply chain market size was valued at USD 5.05 billion in 2023, which is expected to reach USD 31.08 billion in 2031, with a CAGR of 25.5% for the forecast period between 2024 and 2031.

Artificial intelligence is revolutionizing the supply chain sector by enhancing operational effectiveness, cutting expenses, and raising customer satisfaction. Artificial intelligence in supply chains has the power to fundamentally change how goods are handled, distributed, and moved. In the coming years, supply chains will likely become more autonomous as AI-driven systems will handle a large portion of the procedures from delivery to procurement. Businesses that can invest in and set up their operations to make use of AI's potential in the supply chain can gain a clear competitive edge from the technology. Large volumes of supply chain data may be ingested by AI-enabled solutions, which can identify production issues, upstream or downstream shortages, certify supplies and components, and follow them across the whole supply chain.

Artificial intelligence and automation have been increasingly prevalent in supply chains over the last ten years, providing organizations with the chance to improve productivity, enhance customer experience, and eliminate expenses. The application of artificial intelligence in supply chains has grown significantly. For instance, according to the recent Mecalux, S.A. data published in September 2023, 90% of executives intend to invest more than USD 1 million a year in cutting-edge technologies, and 58% of them believe that AI has the most potential to revolutionize the sector and provide them a sustained competitive edge. Digital supply chains are becoming a global trend due to the increased investment in technology. Furthermore, 86% of the participants anticipate that supply networks will become "autonomous, digital, connected, agile, and intelligent" by 2027.

For instance, in November 2023, Amazon SageMaker presented five enhanced features, such as accelerated model training, reduced installation expenses, and a no-code feature in SageMaker Canvas. SageMaker facilitates ML innovation at scale by training industry-leading models like Jurassic-2, Stable Diffusion, IDEFICS, Falcon 40B and 180B, and StarCoder.

Logistics Automation Promote the Market’s Growth

By enabling the application of AI technologies to optimize and simplify many areas of logistics and supply chain management, logistic automation contributes to artificial intelligence in the supply chain market. Demand forecasting, better routing and delivery, better loading procedures, and improved inventory management are being done with AI.

For instance, AI can assist companies in forecasting demand, figuring out the best routes for delivery trucks, and better control stock levels. The expansion of artificial intelligence in the supply chain market is being driven by greater efficiency, cost savings, and improved customer satisfaction that result from this integration of AI into logistics and supply chain management.

For example, in November 2023, with Oracle Fusion Cloud Inventory Management, Oracle unveiled more mobile features for managing medical inventory. The features are designed to decrease inventory errors, increase the effectiveness of restocking, and improve visibility for more accurate demand forecasting and stock availability.

Warehouse Automation Fueling to Artificial Intelligence in Supply Chain Market

By using AI technologies to improve productivity, efficiency, and safety in warehouse management, warehouse automation is leading the way in the supply chain industry's integration of artificial intelligence. Cobots and other AI-enabled technologies are being used in warehouses to automate tedious operations, streamline workflows, and enhance inventory management. Businesses can increase overall operational efficiency, expedite order fulfillment, and achieve higher inventory control accuracy by utilizing AI. The market for supply chains is being revolutionized by the incorporation of AI into warehouse automation, which results in lower costs, higher customer satisfaction, and a more responsive and flexible supply chain.

For instance, in October 2023, Oracle NetSuite enhanced NetSuite Analytics Warehouse with AI-powered capabilities, enhancing data management for healthcare companies and other sectors. The upgrades assist clients in developing analyses that boost productivity, cut expenses, and improve client comprehension, which can contribute to the utilization of data for innovation and expansion.

Demand Forecasting Drives Artificial Intelligence in Supply Chain Market

Supply chain operations can be optimized, thereby overstocking and stockouts can be prevented, and future demand can be predicted by using AI technologies, which are the driving force behind artificial intelligence in supply chain market. To produce precise demand estimates, artificial intelligence systems examine vast amount of data, including past trends, seasonality, and outside influences. This makes it possible for companies to better plan their marketing and production initiatives, modify inventory levels, and respond to market fluctuations. Demand forecasts using AI are transforming supply chain management through lower costs, better customer satisfaction, and more dynamic and efficient supply networks.

For instance, in April 2023, Coupa Software introduced new platform solutions to enhance business continuity and supply assurance, enabling organizations to make more informed spending decisions that promote efficiency, profitability, and purpose.

Asia-Pacific Dominates the Global Market

Asia-Pacific dominates the artificial intelligence in supply chain market owing to a higher level of understanding and awareness of the prospects for the development of AI in the economy, fueled by the efforts of organizations and governments in the region. The region’s market is being driven by the expanding developments in supply chain solutions and the increasing focus on the implementation of artificial intelligence. Further driving growth in the Asia-Pacific artificial intelligence in supply chain market are the region's rapidly expanding economy, its youthful, tech-savvy population, and the growing acceptance of Internet of Things.

For instance, in November 2023, Amazon Web Services (AWS) revealed four features for AWS supply chain, which include supply planning, sustainability, visibility, and generative AI.

Recent Government Measures are Spurring the Market

Artificial Intelligence in the supply chain market has undergone a major transformation as a result of recent government efforts. Governments globally have acted to encourage the use of AI after seeing how it can revolutionize supply chain operations. These programs include offering grants and funds to stimulate AI research and development, developing legal frameworks to guarantee the moral and responsible application of AI, and encouraging cooperation between the public and private sectors. Governments in the logistics and transportation sectors are fostering innovation, increasing productivity, and advocating sustainable practices by sponsoring the research and application of AI throughout the supply chain.

For instance, in October 2023, The Global AI Governance Initiative was established to encourage the ethical advancement and worldwide oversight of artificial intelligence. The initiative seeks the creation of transparent, equitable, and effective governance frameworks and highlights the necessity of equal rights and opportunities for all countries in the development and governance of AI.

Impact of COVID-19

The COVID-19 pandemic had a positive effect on artificial intelligence in the supply chain market. The use of artificial intelligence in supply chain operations was increasing gradually before the COVID-19 pandemic, with businesses using AI tools for logistics optimization, inventory control, and demand forecasting. On the other hand, the pandemic brought attention to the weaknesses in global supply systems, causing bottlenecks and obstructions. The application of AI to supply chain resilience and risk management has received more attention in the aftermath of the COVID-19 pandemic. Predictive analytics and machine learning are two examples of AI-powered technologies that are being used to improve supply chain operations' visibility, agility, and flexibility so that businesses can react to any disruptions with ease.

Impact of Russia-Ukraine War

The Russia-Ukraine war has made a significant impact on the global supply chain, including artificial intelligence in the supply chain market. Unprecedented supply chain risks in 2022 brought about by the war have caused delays in transit, shortages of essential goods, and disruptions in several different businesses. Global leaders have adopted AI in supply chain management to lessen the effects of the war and enhance visibility, forecasting, and decision-making, but the crisis has spurred innovation. The war has brought attention to the necessity of robust and flexible supply chains, which is propelling the use of AI-powered tools to manage the changing environment and reduce interruptions.

Global Artificial Intelligence in Supply Chain Market: Report Scope

“Artificial Intelligence in Supply Chain Market Assessment, Opportunities and Forecast, 2017-2031F” is a comprehensive report by Markets and Data, providing in-depth analysis and qualitative and quantitative assessment of the current state of the global artificial intelligence in supply chain market, industry dynamics, and challenges. The report includes market size, segmental shares, growth trends, COVID-19 and Russia-Ukraine war impact, opportunities, and forecast between 2024 and 2031. Additionally, the report profiles the leading players in the industry mentioning their respective market share, business model, competitive intelligence, etc.

Report Attribute

Details

Base Year of the Analysis

2023

Historical Period

2017-2022

Forecast Period

2024-2031

Projected Growth Rate

CAGR of 25.5% between 2024 and 2031

Revenue Forecast in 2031

USD 31.08 billion

Units

Revenue in USD billion

Segments Covered

Component, Size, Solution Type, End-user

Regions Covered

North America, Europe, South America, Asia-Pacific, Middle East and Africa

Key Companies Profile

Amazon.com, Inc., Coupa Software Inc., DataArt, Google, H2O.ai, Inc., IBM Corporation, Infor, Microsoft Corporation, Symbotic Inc., Uptake Technologies Inc.

Customization Scope

15% free report customization with purchase

Pricing and Purchase Options

Avail the customized purchase options to fulfill your precise research needs

Delivery Format

PDF and Excel through email (subject to the license purchased)

In this report, the global artificial intelligence in supply chain market has been segmented into the following categories: 

1.       By Component

1.1.    Hardware

1.2.    Software

1.3.    Services

2.       By Size

2.1.    Small-scale Business

2.2.    Mid-scale Business

2.3.    Large-scale Enterprise

3.       By Solution Type

3.1.    Fleet Management

3.2.    Risk Management

3.3.    Supply Chain Planning

3.4.    Warehousing Management

3.5.    Virtual Assistant

3.6.    Freight and Shipping Management

3.7.    Others

4.       By End-user

4.1.    Automotive

4.1.1.Passenger Vehicles

4.1.2.Commercial Vehicles

4.2.    Healthcare

4.3.    Aerospace

4.3.1.Commercial

4.3.2.Military

4.4.    Manufacturing

4.5.    Retail

4.5.1.Online

4.5.2.Offline

4.6.    Food and Beverages

4.7.    Others

5.       By Region

5.1.    North America

5.2.    Europe

5.3.    Asia-Pacific

5.4.    South America

5.5.    Middle East and Africa

Key Players Landscape and Outlook

The global artificial intelligence in the supply chain market is extremely competitive, with major companies having fierce competition for dominance. One significant player is Amazon.com, Inc., which uses AI to improve its delivery and logistics processes. AI-powered supply chain optimization and predictive analytics solutions are provided by Google, IBM Corporation, and Microsoft Corporation. Coupa Software Inc. offers spend management and procurement solutions powered by AI. The supply chain AI market is expected to grow and see increased industry adoption, according to optimistic projections. It is anticipated that the industry will continue to grow and innovate due to the integration of AI technologies including robotic process automation, machine learning, and natural language processing. These innovations will improve supply chain operations' sustainability, efficiency, and visibility.

In November 2023, SAP SE collaborated with Airbus to use SAP Integrated Business Planning for supply chain to transform industrial planning. Faster, more responsive production planning and increased manufacturing efficiency are possible through greater integration, collaboration, and transparency of cloud solution.

In October 2023, Infor Nexus and LSQ collaborated to extend supply chain finance initiatives and working capital, lowering obstacles for non-US suppliers, and granting early payments to international suppliers via an intuitive platform.

Key Players Operating in Global Artificial Intelligence in Supply Chain Market are:

·         Amazon.com, Inc.

·         Coupa Software Inc.

·         DataArt

·         Google

·         H2O.ai, Inc.

·         IBM Corporation

·         Infor

·         Microsoft Corporation

·         Symbotic Inc.

·         Uptake Technologies Inc.

Markets and Data reports answer the following questions:

·         What is the current and future market size of the product/service in question globally or specific to different countries?

·         How are the markets divided into different product/service segments and the market size and growth of each segment?

·         What is the market potential of different product segments and their investment case?

·         How are the markets predicted to develop in the future and what factors will drive or inhibit growth?

·         What is the business environment and regulatory landscape specific to the product/service?

If you can't find what you're searching for or have any custom requirements for global artificial intelligence in supply chain market, you may approach our team at info@marketsandata.com

Table of Contents

1.       Research Methodology

2.       Project Scope & Definitions

3.       Impact of COVID-19 on Global Artificial Intelligence in Supply Chain Market

4.       Impact of Russia-Ukraine War

5.       Executive Summary

6.       Voice of Customer

6.1.    Product and Market Intelligence

6.2.    Mode of Brand Awareness

6.3.    Factors Considered in Purchase Decisions

6.3.1. Features and other value-added service

6.3.2. IT Infrastructure Compatibility

6.3.3. Efficiency of Solutions

6.3.4. After-Sales Support

6.4.    Consideration of Privacy & Safety Regulations

7.       Global Artificial Intelligence in Supply Chain Market Outlook, 2017-2031F

7.1.    Market Size & Forecast

7.1.1.By Value

7.1.2.By Volume

7.2.    By Component

7.2.1.Hardware

7.2.2.Software

7.2.3.Services

7.3.    By Size

7.3.1.Small-scale Business

7.3.2.Mid-scale Business

7.3.3.Large-scale Enterprise

7.4.    By Solution Type

7.4.1.Fleet Management

7.4.2.Risk Management

7.4.3.Supply Chain Planning

7.4.4.Warehousing Management

7.4.5.Virtual Assistant

7.4.6.Freight and Shipping Management

7.4.7.Others

7.5.    By End-user

7.5.1.Automotive

7.5.1.1.   Passenger Vehicles

7.5.1.2.   Commercial Vehicles

7.5.2.Healthcare

7.5.3.Aerospace

7.5.3.1.   Commercial

7.5.3.2.   Military

7.5.4.Manufacturing

7.5.5.Retail

7.5.5.1.   Online

7.5.5.2.   Offline

7.5.6.Food and Beverages

7.5.7.Others

7.6.    By Region

7.6.1.North America

7.6.2.Europe

7.6.3.Asia-Pacific

7.6.4.South America

7.6.5.Middle East and Africa

7.7.    By Company Market Share (%), 2023

8.       Global Artificial Intelligence in Supply Chain Market Outlook, By Region, 2017-2031F

8.1.    North America*

8.1.1.Market Size & Forecast

8.1.1.1.   By Value

8.1.1.2.   By Volume

8.1.2.By Component

8.1.2.1.   Hardware

8.1.2.2.   Software

8.1.2.3.   Services

8.1.3.By Size

8.1.3.1.              Small-scale Business

8.1.3.2.              Mid-scale Business

8.1.3.3.              Large-scale Enterprise

8.1.4.By Solution Type

8.1.4.1.   Fleet Management

8.1.4.2.   Risk Management

8.1.4.3.   Supply Chain Planning

8.1.4.4.   Warehousing Management

8.1.4.5.   Virtual Assistant

8.1.4.6.   Freight and Shipping Management

8.1.4.7.   Others

8.1.5.By End-user

8.1.5.1.   Automotive

8.1.5.1.1.     Passenger Vehicles

8.1.5.1.2.     Commercial Vehicles

8.1.5.2.   Healthcare

8.1.5.3.   Aerospace

8.1.5.3.1.     Commercial

8.1.5.3.2.     Military

8.1.5.4.   Manufacturing

8.1.5.5.   Retail

8.1.5.5.1.     Online

8.1.5.5.2.     Offline

8.1.5.6.   Food and Beverages

8.1.5.7.   Others  

8.1.6.United States*

8.1.6.1.   Market Size & Forecast

8.1.6.1.1.     By Value

8.1.6.1.2.     By Volume

8.1.6.2.    By Component

8.1.6.2.1.     Hardware

8.1.6.2.2.     Software

8.1.6.2.3.     Services

8.1.6.3.    By Size

8.1.6.3.1.                    Small-scale Business

8.1.6.3.2.                    Mid-scale Business

8.1.6.3.3.                    Large-scale Enterprise

8.1.6.4.    By Solution Type

8.1.6.4.1.     Fleet Management

8.1.6.4.2.     Risk Management

8.1.6.4.3.     Supply Chain Planning

8.1.6.4.4.     Warehousing Management

8.1.6.4.5.     Virtual Assistant

8.1.6.4.6.     Freight and Shipping Management

8.1.6.4.7.     Others

8.1.6.5.   By End-user

8.1.6.5.1.     Automotive

8.1.6.5.1.1.   Passenger Vehicles

8.1.6.5.1.2.   Commercial Vehicles

8.1.6.5.2.     Healthcare

8.1.6.5.3.     Aerospace

8.1.6.5.3.1.   Commercial

8.1.6.5.3.2.   Military

8.1.6.5.4.     Manufacturing

8.1.6.5.5.     Retail

8.1.6.5.5.1.   Online

8.1.6.5.5.2.   Offline

8.1.6.5.6.     Food and Beverages

8.1.6.5.7.     Others

8.1.7. Canada

8.1.8. Mexico

*All segments will be provided for all regions and countries covered

8.2.    Europe

8.2.1. Germany

8.2.2. France

8.2.3. Italy

8.2.4. United Kingdom

8.2.5. Russia

8.2.6. Netherlands

8.2.7. Spain

8.2.8. Turkey

8.2.9. Poland

8.3.    Asia-Pacific

8.3.1.India

8.3.2.China

8.3.3.Japan

8.3.4.Australia

8.3.5.Vietnam

8.3.6.South Korea

8.3.7.Indonesia

8.3.8.Philippines

8.4.    South America

8.4.1.Brazil

8.4.2.Argentina

8.5.    Middle East & Africa

8.5.1.Saudi Arabia

8.5.2.UAE

8.5.3.South Africa

9.       Market Mapping, 2022

9.1.    By Component

9.2.    By Size

9.3.    By Solution Type

9.4.    By End-user

9.5.    By Region

10.   Macro Environment and Industry Structure

10.1.    Demand Supply Analysis

10.2.    Import Export Analysis

10.3.    Value Chain Analysis

10.4.    PESTEL Analysis

10.4.1.    Political Factors

10.4.2.    Economic System

10.4.3.    Social Implications

10.4.4.    Technological Advancements

10.4.5.    Environmental Impacts

10.4.6.    Legal Compliances and Regulatory Policies (Statutory Bodies Included)

10.5.    Porter’s Five Forces Analysis

10.5.1.    Supplier Power

10.5.2.    Buyer Power

10.5.3.    Substitution Threat

10.5.4.    Threat from New Entrant

10.5.5.    Competitive Rivalry

11.   Market Dynamics

11.1.  Growth Drivers

11.2.  Growth Inhibitors (Challenges and Restraints)

12.   Key Players Landscape

12.1.  Competition Matrix of Top Five Market Leaders

12.2.  Market Revenue Analysis of Top Five Market Leaders (in %, 2023)

12.3.  Mergers and Acquisitions/Joint Ventures (If Applicable)

12.4.  SWOT Analysis (For Five Market Players)

12.5.  Patent Analysis (If Applicable)

13.   Pricing Analysis

14.   Case Studies

15.   Key Players Outlook

15.1.    Amazon.com, Inc.

15.1.1.   Company Details

15.1.2.   Key Management Personnel

15.1.3.   Products & Services

15.1.4.   Financials (As reported)

15.1.5.   Key Market Focus & Geographical Presence

15.1.6.   Recent Developments

15.2.    Coupa Software Inc.

15.3.    DataArt

15.4.    Google

15.5.    H2O.ai, Inc.

15.6.    IBM Corporation

15.7.    Infor

15.8.    Microsoft Corporation

15.9.    Symbotic Inc.

15.10. Uptake Technologies Inc.

*Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.

16.   Strategic Recommendations

17.   About Us & Disclaimer

List of Figures: Global Artificial Intelligence in Supply Chain Market

Figure 1. Global Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F

Figure 2. Global Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F

Figure 3. Global Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F

Figure 4. Global Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F

Figure 5. Global Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F

Figure 6. Global Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F

Figure 7. Global Artificial Intelligence in Supply Chain Market Share (%), By Region, 2017-2031F

Figure 8. North America Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F

Figure 9. North America Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F

Figure 10. North America Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F

Figure 11. North America Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F

Figure 12. North America Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F

Figure 13. North America Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F

Figure 14. North America Artificial Intelligence in Supply Chain Market Share (%), By Country, 2017-2031F

Figure 15. United States Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F

Figure 16. United States Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F

Figure 17. United States Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F

Figure 18. United States Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F

Figure 19. United States Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F

Figure 20. United States Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F

Figure 21. Canada Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F

Figure 22. Canada Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F

Figure 23. Canada Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F

Figure 24. Canada Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F

Figure 25. Canada Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F

Figure 26. Canada Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F

Figure 27. Mexico Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F

Figure 28. Mexico Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F

Figure 29. Mexico Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F

Figure 30. Mexico Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F

Figure 31. Mexico Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F

Figure 32. Mexico Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F

Figure 33. Europe Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F

Figure 34. Europe Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F

Figure 35. Europe Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F

Figure 36. Europe Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F

Figure 37. Europe Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F

Figure 38. Europe Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F

Figure 39. Europe Artificial Intelligence in Supply Chain Market Share (%), By Country, 2017-2031F

Figure 40. Germany Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F

Figure 41. Germany Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F

Figure 42. Germany Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F

Figure 43. Germany Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F

Figure 44. Germany Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F

Figure 45. Germany Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F

Figure 46. France Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F

Figure 47. France Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F

Figure 48. France Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F

Figure 49. France Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F

Figure 50. France Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F

Figure 51. France Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F

Figure 52. Italy Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F

Figure 53. Italy Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F

Figure 54. Italy Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F

Figure 55. Italy Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F

Figure 56. Italy Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F

Figure 57. Italy Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F

Figure 58. United Kingdom Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F

Figure 59. United Kingdom Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F

Figure 60. United Kingdom Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F

Figure 61. United Kingdom Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F

Figure 62. United Kingdom Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F

Figure 63. United Kingdom Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F

Figure 64. Russia Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F

Figure 65. Russia Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F

Figure 66. Russia Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F

Figure 67. Russia Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F

Figure 68. Russia Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F

Figure 69. Russia Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F

Figure 70. Netherlands Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F

Figure 71. Netherlands Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F

Figure 72. Netherlands Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F

Figure 73. Netherlands Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F

Figure 74. Netherlands Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F

Figure 75. Netherlands Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F

Figure 76. Spain Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F

Figure 77. Spain Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F

Figure 78. Spain Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F

Figure 79. Spain Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F

Figure 80. Spain Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F

Figure 81. Spain Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F

Figure 82. Turkey Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F

Figure 83. Turkey Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F

Figure 84. Turkey Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F

Figure 85. Turkey Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F

Figure 86. Turkey Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F

Figure 87. Turkey Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F

Figure 88. Poland Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F

Figure 89. Poland Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F

Figure 90. Poland Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F

Figure 91. Poland Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F

Figure 92. Poland Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F

Figure 93. Poland Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F

Figure 94. South America Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F

Figure 95. South America Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F

Figure 96. South America Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F

Figure 97. South America Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F

Figure 98. South America Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F

Figure 99. South America Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F

Figure 100. South America Artificial Intelligence in Supply Chain Market Share (%), By Country, 2017-2031F

Figure 101. Brazil Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F

Figure 102. Brazil Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F

Figure 103. Brazil Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F

Figure 104. Brazil Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F

Figure 105. Brazil Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F

Figure 106. Brazil Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F

Figure 107. Argentina Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F

Figure 108. Argentina Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F

Figure 109. Argentina Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F

Figure 110. Argentina Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F

Figure 111. Argentina Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F

Figure 112. Argentina Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F

Figure 113. Asia-Pacific Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F

Figure 114. Asia-Pacific Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F

Figure 115. Asia-Pacific Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F

Figure 116. Asia-Pacific Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F

Figure 117. Asia-Pacific Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F

Figure 118. Asia-Pacific Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F

Figure 119. Asia-Pacific Artificial Intelligence in Supply Chain Market Share (%), By Country, 2017-2031F

Figure 120. India Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F

Figure 121. India Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F

Figure 122. India Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F

Figure 123. India Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F

Figure 124. India Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F

Figure 125. India Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F

Figure 126. China Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F

Figure 127. China Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F

Figure 128. China Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F

Figure 129. China Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F

Figure 130. China Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F

Figure 131. China Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F

Figure 132. Japan Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F

Figure 133. Japan Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F

Figure 134. Japan Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F

Figure 135. Japan Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F

Figure 136. Japan Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F

Figure 137. Japan Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F

Figure 138. Australia Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F

Figure 139. Australia Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F

Figure 140. Australia Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F

Figure 141. Australia Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F

Figure 142. Australia Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F

Figure 143. Australia Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F

Figure 144. Vietnam Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F

Figure 145. Vietnam Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F

Figure 146. Vietnam Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F

Figure 147. Vietnam Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F

Figure 148. Vietnam Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F

Figure 149. Vietnam Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F

Figure 150. South Korea Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F

Figure 151. South Korea Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F

Figure 152. South Korea Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F

Figure 153. South Korea Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F

Figure 154. South Korea Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F

Figure 155. South Korea Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F

Figure 156. Indonesia Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F

Figure 157. Indonesia Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F

Figure 158. Indonesia Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F

Figure 159. Indonesia Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F

Figure 160. Indonesia Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F

Figure 161. Indonesia Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F

Figure 162. Philippines Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F

Figure 163. Philippines Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F

Figure 164. Philippines Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F

Figure 165. Philippines Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F

Figure 166. Philippines Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F

Figure 167. Philippines Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F

Figure 168. Middle East & Africa Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F

Figure 169. Middle East & Africa Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F

Figure 170. Middle East & Africa Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F

Figure 171. Middle East & Africa Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F

Figure 172. Middle East & Africa Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F

Figure 173. Middle East & Africa Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F

Figure 174. Middle East & Africa Artificial Intelligence in Supply Chain Market Share (%), By Country, 2017-2031F

Figure 175. Saudi Arabia Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F

Figure 176. Saudi Arabia Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F

Figure 177. Saudi Arabia Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F

Figure 178. Saudi Arabia Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F

Figure 179. Saudi Arabia Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F

Figure 180. Saudi Arabia Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F

Figure 181. UAE Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F

Figure 182. UAE Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F

Figure 183. UAE Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F

Figure 184. UAE Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F

Figure 185. UAE Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F

Figure 186. UAE Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F

Figure 187. South Africa Artificial Intelligence in Supply Chain Market, By Value, In USD Billion, 2017-2031F

Figure 188. South Africa Artificial Intelligence in Supply Chain Market, By Volume, In Million Units, 2017-2031F

Figure 189. South Africa Artificial Intelligence in Supply Chain Market Share (%), By Component, 2017-2031F

Figure 190. South Africa Artificial Intelligence in Supply Chain Market Share (%), By Size, 2017-2031F

Figure 191. South Africa Artificial Intelligence in Supply Chain Market Share (%), By Solution Type, 2017-2031F

Figure 192. South Africa Artificial Intelligence in Supply Chain Market Share (%), By End-user, 2017-2031F

Figure 193. By Component Map-Market Size (USD Billion) & Growth Rate (%), 2023

Figure 194. By Size Map-Market Size (USD Billion) & Growth Rate (%), 2023

Figure 195. By Solution Type Map-Market Size (USD Billion) & Growth Rate (%), 2023

Figure 196. By End-user Map-Market Size (USD Billion) & Growth Rate (%), 2023

Figure 197. By Region Map-Market Size (USD Billion) & Growth Rate (%), 2023

List of Tables: Global Artificial Intelligence in Supply Chain Market

Table 1. Pricing Analysis of Products from Key Players

Table 2. Competition Matrix of Top 5 Market Leaders

Table 3. Mergers & Acquisitions/ Joint Ventures (If Applicable)

Table 4. About Us - Regions and Countries Where We Have Executed Client Projects

Frequently Asked Questions

What are the major drivers influencing the growth of global artificial intelligence in the supply chain market?

arrowup
Heart

Global Coffee Market Assessment, Opportunities and Forecast, 2017-2031F

Global coffee market is expected to experience growth due to consumers’ increasing preference for organic and premium coffee that offers freshness, superior quality of beans and roasts, and unique flavor profile. Additionally, the product innovation,....Read More

Published on

July 2024

4,500

Heart

Global Home Theater System Market Assessment, Opportunities and Forecast, 2017-2031F

Global home theater system market is expected to experience growth due to technological advancements, increasing disposable incomes, rising demand for high-definition content, integration with smart home systems, and the surge in streaming services p....Read More

Published on

July 2024

4,500

Heart

Global Baby Food Market Assessment, Opportunities and Forecast, 2017-2031F

Global baby food market is expected to experience growth due to factors such as consumers’ increasing awareness of the nutrients which are essential for babies development and introduction of wide variety of baby foods in the market from milk powders....Read More

Published on

July 2024

4,500

Heart

Global Isoflavones Market Assessment, Opportunities and Forecast, 2017-2031F

Global isoflavones market is expected to experience growth due to increasing consumer health awareness, rising demand for functional foods and nutraceuticals, advancements in extraction technologies, and expanding applications in cosmetics, pharmaceu....Read More

Published on

July 2024

4,500

Purchase Options

USD ($)

arrowdown

i

3,000

i

4,500

i

5,700

i

8,200

Tired of Searching?

Looking for Customization?

Some other doubt?

Need insights from a cohort?

REACH US

    icon_Five
    17, Okhla Industrial Estate Phase 3 Rd, Okhla Phase III, Okhla Industrial Estate, New Delhi, Delhi 110020
    call_Two
    +91 11 42343567
    icon_Six
    info@marketsandata.com
icon_Seven
5741 Cleveland street, Suite 120, VA beach, VA, USA 23462
call_Three
+1 (757) 343-3258
icon_Eight
190 Middle Road, # 14-10 Fortune Centre, Singapore -188979