AI in Supply Chain and Logistics Market - Global Size, Share, Trend Analysis, Opportunity and Forecast Report, 2019–2030, Segmented By Type (Artificial Neural Networks, Machine Learning); By Application (Inventory Control & Planning, Transportation Network Design, Purchasing & Supply Management, Demand Planning & Forecasting); By Region (North America, Europe, Asia Pacific (APAC), Latin America (LATAM), Middle East and Africa (MEA))
Global Artificial Intelligence (AI) in Supply Chain and Logistics Market Size Zooming More Than 4.6X to Touch USD 15 Billion by 2030
Global Artificial Intelligence (AI) in Supply Chain and Logistics Market is expanding rapidly due to an increasing demand for automation, optimization of operations, enhanced efficiency, improved decision-making, and the need for real-time data insights.
BlueWeave Consulting, a leading strategic consulting and market research firm, in its recent study, estimated the Global Artificial Intelligence (AI) in Supply Chain and Logistics Market size by value at USD 3.21 billion in 2023. During the forecast period between 2024 and 2030, BlueWeave expects the Global Artificial Intelligence (AI) in Supply Chain and Logistics Market size to expand at a CAGR of 23.12% reaching a value of USD 14.86 billion by 2030. Key drivers of Global Artificial Intelligence (AI) in the Supply Chain and Logistics Market include escalating demand for streamlined operations, cost optimization, and enhanced efficiency. AI solutions enable predictive analytics, real-time monitoring, and automation, revolutionizing traditional supply chain management. Major players like IBM and Amazon are spearheading AI integration, offering robust platforms for logistics optimization and demand forecasting. The global significance of AI lies in its capacity to mitigate supply chain risks, optimize inventory management, and enhance customer experiences. As businesses increasingly adopt AI-driven solutions, they gain competitive advantages, fostering innovation and reshaping global supply chain dynamics to meet evolving consumer demands efficiently and sustainably.
Opportunity – Accelerating adoption of AI
The surge in big data initiatives fuels the integration of artificial intelligence (AI) in supply chain management, enhancing consumer satisfaction. Big data analytics, crucial for converting data into actionable insights, drives industries to incorporate analytics solutions. Utilizing advanced analytics like Multi-Echelon Inventory Optimization (MEIO), companies optimize inventory by 20% to 30%, aligning it with market demand. This optimization improves RoI and necessitates enhanced visualization technologies, such as AI, thus propelling the market growth.
Impact of Escalating Geopolitical Tensions on Global Artificial Intelligence (AI) in Supply Chain and Logistics Market
Escalating geopolitical tensions can significantly affect the Global Artificial Intelligence (AI) in Supply Chain and Logistics Market. Heightened trade restrictions and geopolitical conflicts can disrupt supply chains, necessitating increased reliance on AI for resilience and efficiency. For instance, during the US-China trade war, companies turned to AI-driven predictive analytics to mitigate risks and optimize supply chain operations. Additionally, political instability in regions rich in critical resources may lead to supply shortages, prompting organizations to invest in AI-powered demand forecasting and inventory management systems. Moreover, sanctions and export controls imposed due to geopolitical tensions can hinder the free flow of technology and talent essential for AI development, potentially stunting innovation and adoption in the supply chain and logistics sector. These factors collectively underscore the significant influence of geopolitical dynamics on the trajectory of the AI in supply chain and logistics market.
Global Artificial Intelligence (AI) in Supply Chain and Logistics Market
Segmental Coverage
Global Artificial Intelligence (AI) in Supply Chain and Logistics Market – By Type
Based on type, Global Artificial Intelligence (AI) in Supply Chain and Logistics Market is divided into Artificial Neural Networks and Machine Learning segments. The machine learning segment is a larger type in the Global Artificial Intelligence (AI) in Supply Chain and Logistics Market. Machine learning techniques enable systems to automatically learn and improve from experience without being explicitly programmed, making them integral to optimizing supply chain and logistics operations. The segment encompasses a broad range of applications, including predictive analytics, demand forecasting, route optimization, and inventory management. Its versatility and effectiveness in handling complex data sets make machine learning a cornerstone of AI-driven solutions in the supply chain and logistics industry, driving significant advancements in efficiency, cost reduction, and overall performance.
Global Artificial Intelligence (AI) in Supply Chain and Logistics Market – By Application
Based on application, Global Artificial Intelligence (AI) in Supply Chain and Logistics Market is divided into Inventory Control and Planning, Transportation Network Design, Purchasing & Supply Management, Demand Planning & Forecasting segments. The inventory control & planning segment is the largest application in the Global Artificial Intelligence (AI) in the Supply Chain and Logistics Market. The segment encompasses the use of AI technologies to optimize inventory levels, manage stock, and forecast demand more accurately. By leveraging AI algorithms, businesses can streamline their inventory management processes, reduce carrying costs, and minimize stockouts or overstock situations. The emphasis on efficient inventory control and planning highlights the significant role AI plays in enhancing supply chain operations, ultimately contributing to improved productivity and cost savings for companies operating in diverse industries.
Competitive Landscape
Global Artificial Intelligence (AI) in Supply Chain and Logistics Market is fiercely competitive. Major companies in the market Echo Global Logistics, LivePerson, Infor, Covariant, Zebra Technologies, HAVI, C3 AI, Symbotic, IBM, Amazon Web Services Inc, SAP, and Microsoft Corporation. These companies use various strategies, including increasing investments in their R&D activities, mergers, and acquisitions, joint ventures, collaborations, licensing agreements, and new product and service releases to further strengthen their position in the Global Artificial Intelligence (AI) in Supply Chain and Logistics Market.
The in-depth analysis of the report provides information about growth potential, upcoming trends, and statistics of Global Artificial Intelligence (AI) in Supply Chain and Logistics Market. It also highlights the factors driving forecasts of total Market size. The report promises to provide recent technology trends in Global Artificial Intelligence (AI) in Supply Chain and Logistics Market and industry insights to help decision-makers make sound strategic decisions. Further, the report also analyzes the growth drivers, challenges, and competitive dynamics of the market.
- 1. Research Framework
- 1.1. Research Objective
- 1.2. Product Overview
- 1.3. Market Segmentation
- 2. Executive Summary
- 3. Global Artificial Intelligence (AI) in Supply Chain and Logistics Market Insights
- 3.1. Industry Value Chain Analysis
- 3.2. DROC Analysis
- 3.2.1. Growth Drivers
- 3.2.1.1. Increasing demand for efficiency and optimization
- 3.2.1.2. Growing adoption of cloud computing and big data
- 3.2.1.3. Need for improved visibility and transparency
- 3.2.1.4. Rising labor costs
- 3.2.2. Restraints
- 3.2.2.1. High upfront costs
- 3.2.2.2. Ethical considerations and bias
- 3.2.3. Opportunities
- 3.2.3.1. Increasing focus on sustainability
- 3.2.3.2. Advancement in technology
- 3.2.4. Challenges
- 3.2.4.1. Data security and privacy concerns
- 3.2.4.2. Integration with existing infrastructure
- 3.3. Technological Advancements/Recent Developments
- 3.4. Regulatory Framework
- 3.5. Porter’s Five Forces Analysis
- 3.5.1. Bargaining Power of Suppliers
- 3.5.2. Bargaining Power of Buyers
- 3.5.3. Threat of New Entrants
- 3.5.4. Threat of Substitutes
- 3.5.5. Intensity of Rivalry
- 4. Global Artificial Intelligence (AI) in Supply Chain and Logistics Market Marketing Strategies
- 5. Global Artificial Intelligence (AI) in Supply Chain and Logistics Market Overview
- 5.1. Market Size & Forecast, 2019–2030
- 5.1.1. By Value (USD Billion)
- 5.2. Market Share & Forecast
- 5.2.1. By Type
- 5.2.1.1. Artificial Neural Networks
- 5.2.1.2. Machine Learning
- 5.2.1.3. Other
- 5.2.2. By Application
- 5.2.2.1. Inventory Control and Planning
- 5.2.2.2. Transportation Network Design
- 5.2.2.3. Purchasing and Supply Management
- 5.2.2.4. Demand Planning and Forecasting
- 5.2.2.5. Others
- 5.2.3. By Region
- 5.2.3.1. North America
- 5.2.3.2. Europe
- 5.2.3.3. Asia Pacific (APAC)
- 5.2.3.4. Latin America (LATAM)
- 5.2.3.5. Middle East and Africa (MEA)
- 6. North America Artificial Intelligence (AI) in Supply Chain and Logistics Market
- 6.1. Market Size & Forecast, 2019–2030
- 6.1.1. By Value (USD Billion)
- 6.2. Market Share & Forecast
- 6.2.1. By Type
- 6.2.2. By Application
- 6.2.3. By Country
- 6.2.3.1. United States
- 6.2.3.1.1. By Type
- 6.2.3.1.2. By Application
- 6.2.3.2. Canada
- 6.2.3.2.1. By Type
- 6.2.3.2.2. By Application
- 7. Europe Artificial Intelligence (AI) in Supply Chain and Logistics Market
- 7.1. Market Size & Forecast, 2019–2030
- 7.1.1. By Value (USD Billion)
- 7.2. Market Share & Forecast
- 7.2.1. By Type
- 7.2.2. By Application
- 7.2.3. By Country
- 7.2.3.1. Germany
- 7.2.3.1.1. By Type
- 7.2.3.1.2. By Application
- 7.2.3.2. United Kingdom
- 7.2.3.2.1. By Type
- 7.2.3.2.2. By Application
- 7.2.3.3. Italy
- 7.2.3.3.1. By Type
- 7.2.3.3.2. By Application
- 7.2.3.4. France
- 7.2.3.4.1. By Type
- 7.2.3.4.2. By Application
- 7.2.3.5. Spain
- 7.2.3.5.1. By Type
- 7.2.3.5.2. By Application
- 7.2.3.6. Belgium
- 7.2.3.6.1. By Type
- 7.2.3.6.2. By Application
- 7.2.3.7. Russia
- 7.2.3.7.1. By Type
- 7.2.3.7.2. By Application
- 7.2.3.7.3.
- 7.2.3.8. The Netherlands
- 7.2.3.8.1. By Type
- 7.2.3.8.2. By Application
- 7.2.3.9. Rest of Europe
- 7.2.3.9.1. By Type
- 7.2.3.9.2. By Application
- 8. Asia Pacific Artificial Intelligence (AI) in Supply Chain and Logistics Market
- 8.1. Market Size & Forecast, 2019–2030
- 8.1.1. By Value (USD Billion)
- 8.2. Market Share & Forecast
- 8.2.1. By Type
- 8.2.2. By Application
- 8.2.3. By Country
- 8.2.3.1. China
- 8.2.3.1.1. By Type
- 8.2.3.1.2. By Application
- 8.2.3.2. India
- 8.2.3.2.1. By Type
- 8.2.3.2.2. By Application
- 8.2.3.3. Japan
- 8.2.3.3.1. By Type
- 8.2.3.3.2. By Application
- 8.2.3.4. South Korea
- 8.2.3.4.1. By Type
- 8.2.3.4.2. By Application
- 8.2.3.5. Australia & New Zealand
- 8.2.3.5.1. By Type
- 8.2.3.5.2. By Application
- 8.2.3.6. Indonesia
- 8.2.3.6.1. By Type
- 8.2.3.6.2. By Application
- 8.2.3.7. Malaysia
- 8.2.3.7.1. By Type
- 8.2.3.7.2. By Application
- 8.2.3.8. Singapore
- 8.2.3.8.1. By Type
- 8.2.3.8.2. By Application
- 8.2.3.9. Vietnam
- 8.2.3.9.1. By Type
- 8.2.3.9.2. By Application
- 8.2.3.10. Rest of APAC
- 8.2.3.10.1. By Type
- 8.2.3.10.2. By Application
- 9. Latin America Artificial Intelligence (AI) in Supply Chain and Logistics Market
- 9.1. Market Size & Forecast, 2019–2030
- 9.1.1. By Value (USD Billion)
- 9.2. Market Share & Forecast
- 9.2.1. By Type
- 9.2.2. By Application
- 9.2.3. By Country
- 9.2.3.1. Brazil
- 9.2.3.1.1. By Type
- 9.2.3.1.2. By Application
- 9.2.3.2. Mexico
- 9.2.3.2.1. By Type
- 9.2.3.2.2. By Application
- 9.2.3.3. Argentina
- 9.2.3.3.1. By Type
- 9.2.3.3.2. By Application
- 9.2.3.4. Peru
- 9.2.3.4.1. By Type
- 9.2.3.4.2. By Application
- 9.2.3.5. Rest of LATAM
- 9.2.3.5.1. By Type
- 9.2.3.5.2. By Application
- 10. Middle East & Africa Artificial Intelligence (AI) in Supply Chain and Logistics Market
- 10.1. Market Size & Forecast, 2019–2030
- 10.1.1. By Value (USD Billion)
- 10.2. Market Share & Forecast
- 10.2.1. By Type
- 10.2.2. By Application
- 10.2.3. By Country
- 10.2.3.1. Saudi Arabia
- 10.2.3.1.1. By Type
- 10.2.3.1.2. By Application
- 10.2.3.2. UAE
- 10.2.3.2.1. By Type
- 10.2.3.2.2. By Application
- 10.2.3.3. Qatar
- 10.2.3.3.1. By Type
- 10.2.3.3.2. By Application
- 10.2.3.4. Kuwait
- 10.2.3.4.1. By Type
- 10.2.3.4.2. By Application
- 10.2.3.5. South Africa
- 10.2.3.5.1. By Type
- 10.2.3.5.2. By Application
- 10.2.3.6. Nigeria
- 10.2.3.6.1. By Type
- 10.2.3.6.2. By Application
- 10.2.3.7. Algeria
- 10.2.3.7.1. By Type
- 10.2.3.7.2. By Application
- 10.2.3.8. Rest of MEA
- 10.2.3.8.1. By Type
- 10.2.3.8.2. By Application
- 11. Competitive Landscape
- 11.1. List of Key Players and Their Offerings
- 11.2. Global Artificial Intelligence (AI) in Supply Chain and Logistics Company Market Share Analysis, 2023
- 11.3. Competitive Benchmarking, By Operating Parameters
- 11.4. Key Strategic Developments (Mergers, Acquisitions, Partnerships, etc.)
- 12. Impact of Escalating Geopolitical Tensions on Global Artificial Intelligence (AI) in Supply Chain and Logistics Market
- 13. Company Profiles (Company Overview, Financial Matrix, Competitive Landscape, Key Personnel, Key Competitors, Contact Address, Strategic Outlook, and SWOT Analysis)
- 13.1. Echo Global Logistics
- 13.2. LivePerson
- 13.3. Infor
- 13.4. Covariant
- 13.5. Zebra Technologies
- 13.6. HAVI
- 13.7. C3 AI
- 13.8. Symbotic
- 13.9. IBM
- 13.10. Amazon Web Services Inc
- 13.11. SAP
- 13.12. Microsoft Corporation
- 13.13. Other Prominent Players
- 14. Key Strategic Recommendations
- 15. Research Methodology
- 15.1. Qualitative Research
- 15.1.1. Primary & Secondary Research
- 15.2. Quantitative Research
- 15.3. Market Breakdown & Data Triangulation
- 15.3.1. Secondary Research˙
- 15.3.2. Primary Research
- 15.4. Breakdown of Primary Research Respondents, By Region
- 15.5. Assumptions & Limitations
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