The report on the global artificial intelligence in supply chain market provides qualitative and quantitative analysis for the period from 2021-2030. The global artificial Intelligence in supply chain market was valued at USD 2654.49 million in 2022 and is expected to reach USD 43326.92 million in 2030, with a CAGR of 36.52% during the forecast period 2023-2030. The study on artificial intelligence in supply chain market covers the analysis of the leading geographies such as North America, Europe, Asia Pacific, and RoW for the period of 2021-2030.
The term 'Artificial Intelligence in Supply Chain Market' refers to the segment of the business and technology industry that focuses on using Artificial Intelligence (AI) technologies to improve supply chain management and logistics. This market includes products, services, and solutions offered by tech companies to help organizations optimize their supply chain operations using AI. These solutions cover various aspects like demand forecasting, inventory management, route planning, warehouse automation, and real-time tracking. Machine learning (ML) algorithms play a vital role in AI supply chain solutions, aiding in predictive analytics, anomaly detection, and pattern recognition to enhance decision-making and efficiency. This market has seen rapid growth due to its potential for cost savings, efficiency improvements, and better decision-making across industries like manufacturing, retail, healthcare, and logistics.
The increasing adoption of big data is a major driver for AI in the supply chain market. Digital transformation has generated vast amounts of data in supply chains, and AI can leverage this data for better insights and recommendations. Moreover, the growing complexity of global supply chains fuels demand for AI. These supply chains involve multiple suppliers, complex logistics networks, and varying demand patterns, making AI's visibility and control capabilities highly valuable. Additionally, rising customer expectations for faster, more reliable deliveries and improved service are met with AI-driven logistics and supply chain solutions. These technologies optimize routes, reduce delivery times, and enhance order accuracy. However, the initial investment in hardware, software, training, and consulting services can be a significant barrier to the market. Despite that, the growing need for increased efficiency, resilience, sustainability, and competitiveness in an ever-evolving global business landscape presents significant opportunities for AI in the supply chain market.
North America is expected to hold the most significant market share in the upcoming forecast period. North America, led by the United States, is a dominant player in this market. It boasts a strong tech ecosystem, with leading technology companies, research institutions, and startups focused on AI for supply chain applications. Access to capital in the region supports innovation, and high demand from businesses across sectors like e-commerce, retail, manufacturing, and logistics drives the development and adoption of AI solutions. Meanwhile, the Asia-Pacific (APAC) region is emerging as the fastest-growing market for AI in the supply chain. APAC's economic growth, expanding trade, and increasing manufacturing activities are driving the adoption of AI to enhance operational efficiency and competitiveness.
2. Internal and External subject matter experts
3. Professionals and participants from the industry
2. Product/brand/marketing managers
3. CXO level executives
4. Regional/zonal/country managers
5. Vice President level executives.
2. Government/institutional publications
3. Trade and associations journals
4. Databases such as WTO, OECD, World Bank, and among others.
5. Websites and publications by research agencies
2. Complete coverage of all the segments in the artificial intelligence in supply chain market to analyze the trends, developments in the global market and forecast of market size up to 2030.
3. Comprehensive analysis of the companies operating in the global artificial intelligence in supply chain market. The company profile includes analysis of product portfolio, revenue, SWOT analysis and latest developments of the company.
4. The Growth Matrix presents an analysis of the product segments and geographies that market players should focus to invest, consolidate, expand and/or diversify.
The term 'Artificial Intelligence in Supply Chain Market' refers to the segment of the business and technology industry that focuses on using Artificial Intelligence (AI) technologies to improve supply chain management and logistics. This market includes products, services, and solutions offered by tech companies to help organizations optimize their supply chain operations using AI. These solutions cover various aspects like demand forecasting, inventory management, route planning, warehouse automation, and real-time tracking. Machine learning (ML) algorithms play a vital role in AI supply chain solutions, aiding in predictive analytics, anomaly detection, and pattern recognition to enhance decision-making and efficiency. This market has seen rapid growth due to its potential for cost savings, efficiency improvements, and better decision-making across industries like manufacturing, retail, healthcare, and logistics.
The increasing adoption of big data is a major driver for AI in the supply chain market. Digital transformation has generated vast amounts of data in supply chains, and AI can leverage this data for better insights and recommendations. Moreover, the growing complexity of global supply chains fuels demand for AI. These supply chains involve multiple suppliers, complex logistics networks, and varying demand patterns, making AI's visibility and control capabilities highly valuable. Additionally, rising customer expectations for faster, more reliable deliveries and improved service are met with AI-driven logistics and supply chain solutions. These technologies optimize routes, reduce delivery times, and enhance order accuracy. However, the initial investment in hardware, software, training, and consulting services can be a significant barrier to the market. Despite that, the growing need for increased efficiency, resilience, sustainability, and competitiveness in an ever-evolving global business landscape presents significant opportunities for AI in the supply chain market.
North America is expected to hold the most significant market share in the upcoming forecast period. North America, led by the United States, is a dominant player in this market. It boasts a strong tech ecosystem, with leading technology companies, research institutions, and startups focused on AI for supply chain applications. Access to capital in the region supports innovation, and high demand from businesses across sectors like e-commerce, retail, manufacturing, and logistics drives the development and adoption of AI solutions. Meanwhile, the Asia-Pacific (APAC) region is emerging as the fastest-growing market for AI in the supply chain. APAC's economic growth, expanding trade, and increasing manufacturing activities are driving the adoption of AI to enhance operational efficiency and competitiveness.
Report Findings
1) Drivers
- The rise in the endorsement of big data is the major factor responsible for the adoption of ai in the supply chain market.
- The growing complexity of global supply chains led to a rise in demand for the supply chain market.
2) Restraints
- The initial investment in hardware, software, training, and consulting services can be a significant barrier to the market.
3) Opportunities
- The growing need for increased efficiency, resilience, sustainability, and competitiveness in an ever-evolving global business landscape presents a significant opportunities for AI in the supply chain market.
Research Methodology
A) Primary Research
The primary research involves extensive interviews and analysis of the opinions provided by the primary respondents. The primary research starts with identifying and approaching the primary respondents.The primary respondents approached include:
1. Key Opinion Leaders2. Internal and External subject matter experts
3. Professionals and participants from the industry
The primary research respondents typically include:
1. Executives working with leading companies in the market under review2. Product/brand/marketing managers
3. CXO level executives
4. Regional/zonal/country managers
5. Vice President level executives.
B) Secondary Research
Secondary research involves extensive exploring through the secondary sources of information available in both the public domain and paid sources. Each research study is based on over 500 hours of secondary research accompanied by primary research. The information obtained through the secondary sources is validated through the crosscheck on various data sources.The secondary sources of the data typically include:
1. Company reports and publications2. Government/institutional publications
3. Trade and associations journals
4. Databases such as WTO, OECD, World Bank, and among others.
5. Websites and publications by research agencies
Segments Covered
The global artificial intelligence in supply chain market is segmented on the basis of component, technology, application, and industry vertical.The Global Artificial Intelligence in Supply Chain Market by Component
- Software
- Hardware
- Services
The Global Artificial Intelligence in Supply Chain Market by Technology
- Natural Language Processing
- Machine Learning
- Computer Vision
- Context-aware Computing
The Global Artificial Intelligence in Supply Chain Market by Application
- Risk Management
- Freight Brokerage
- Supply Chain Planning
- Warehouse Management
- Fleet Management
- Virtual Assistant
- Others
The Global Artificial Intelligence in Supply Chain Market by Industry Vertical
- Healthcare
- Retail
- Automotive
- Aerospace
- Manufacturing
- Food and Beverages
- Consumer Packaged Goods
- Others
Company Profiles
The companies covered in the report include:
- Xilinx (acquired by AMD)
- Logility, Inc.
- NVIDIA Corporation,
- Micron Technology, Inc.
- Microsoft Corporation
- Amazon Web Services, Inc.
- Intel Corporation
- SAP SE
- IBM Corporation
- Oracle Corporation
What does this Report Deliver?
1. Comprehensive analysis of the global as well as regional markets of the artificial intelligence in supply chain market.2. Complete coverage of all the segments in the artificial intelligence in supply chain market to analyze the trends, developments in the global market and forecast of market size up to 2030.
3. Comprehensive analysis of the companies operating in the global artificial intelligence in supply chain market. The company profile includes analysis of product portfolio, revenue, SWOT analysis and latest developments of the company.
4. The Growth Matrix presents an analysis of the product segments and geographies that market players should focus to invest, consolidate, expand and/or diversify.
Table of Contents
Chapter 1. Preface
Chapter 2. Executive Summary
Chapter 3. Global Artificial Intelligence in Supply Chain Market Overview
Chapter 5. Company Profiles and Competitive Landscape
Chapter 6. Global Artificial Intelligence in Supply Chain Market by Component
Chapter 7. Global Artificial Intelligence in Supply Chain Market by Technology
Chapter 8. Global Artificial Intelligence in Supply Chain Market by Application
Chapter 9. Global Artificial Intelligence in Supply Chain Market by Industry Vertical
Chapter 10. Global Artificial Intelligence in Supply Chain Market by Region 2023-2030
Companies Mentioned
- Xilinx (acquired by AMD)
- Logility, Inc.
- NVIDIA Corporation,
- Micron Technology, Inc.
- Microsoft Corporation
- Amazon Web Services, Inc.
- Intel Corporation
- SAP SE
- IBM Corporation
- Oracle Corporation
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 300 |
| Published | October 2023 |
| Forecast Period | 2022 - 2030 |
| Estimated Market Value ( USD | $ 2654.49 Million |
| Forecasted Market Value ( USD | $ 43326.92 Million |
| Compound Annual Growth Rate | 36.5% |
| Regions Covered | Global |
| No. of Companies Mentioned | 10 |
