AI in Logistics and Supply Chain Management Market Opportunities and Strategy Report, 2019-2024, 2029F, 2034F - ResearchAndMarkets.com

DUBLIN--(BUSINESS WIRE)--The "AI in Logistics and Supply Chain Management Market Opportunities and Strategies to 2034" report has been added to ResearchAndMarkets.com's offering.

This report describes and explains the AI in logistics and supply chain management market and covers 2019-2024, termed the historic period, and 2024-2029, 2034F termed the forecast period. The report evaluates the market across each region and for the major economies within each region.

The global AI in logistics and supply chain management market reached a value of nearly $24.19 billion in 2024, having grown at a compound annual growth rate (CAGR) of 37.11% since 2019. The market is expected to grow from $24.19 billion in 2024 to $134.26 billion in 2029 at a rate of 40.88%. The market is then expected to grow at a CAGR of 40.78% from 2029 and reach $742.37 billion in 2034.

Growth in the historic period resulted from rising fuel prices and transportation costs, growth in demand for real-time tracking, labor shortages in logistics, expansion of cold chain logistics in food and pharmaceuticals, adoption of agile supply chain practices and growing investment in AI startups. Factors that negatively affected growth in the historic period were cybersecurity threats.

Going forward, rise in cross-border trade, expansion of e-commerce industry, rising urbanization and megacities, favorable government initiatives and growing demand for automation will drive the growth. Factor that could hinder the growth of the AI in logistics and supply chain management market in the future include lack of skilled labor.

The global AI in logistics and supply chain management market is fairly fragmented, with a large number of small players in the market. The top ten competitors in the market made up to 17.50% of the total market in 2023. The market fragmentation can be attributed to the presence of small players in different geographies. GEP was the largest competitor with a 5.26% share of the market, followed by Blue Yonderwith 5.18%, Infor with 2.08%, HAVI with 1.91%, Vorto with 1.22%, FourKites with 0.53%, Coupa Software Inc. with 0.53%, Amazon Web Services (AWS) with 0.32%, Shipsy with 0.24% and International Business Machines Corporation (IBM Corporation) with 0.22%.

The AI in logistics and supply chain management market is segmented by offering into solution and services. The solution market was the largest segment of the AI in logistics and supply chain management market segmented by offering, accounting for 79.95% or $19.34 billion of the total in 2024. Going forward, the services segment is expected to be the fastest growing segment in the AI in logistics and supply chain management market segmented by offering, at a CAGR of 44.12% during 2024-2029.

The AI in logistics and supply chain management market is segmented by type into machine learning, natural language processing (NLP), computer vision, context-aware computing and others. The machine learning market was the largest segment of the AI in logistics and supply chain management market segmented by type, accounting for 43.08% or $10.42 billion of the total in 2024. Going forward, the context-aware computing segment is expected to be the fastest growing segment in the AI in logistics and supply chain management market segmented by type, at a CAGR of 46.94% during 2024-2029.

The AI in logistics and supply chain management market is segmented by deployment into cloud-based and on-premise. The cloud-based market was the largest segment of the AI in logistics and supply chain management market segmented by deployment, accounting for 62.39% or $15.09 billion of the total in 2024. Going forward, the cloud-based segment is expected to be the fastest growing segment in the AI in logistics and supply chain management market segmented by deployment, at a CAGR of 44.22% during 2024-2029.

The AI in logistics and supply chain management market is segmented by application into warehouse management, transportation management, order fulfillment, demand forecasting, inventory optimization, supply chain planning and other applications. The supply chain planning market was the largest segment of the AI in logistics and supply chain management market segmented by applications, accounting for 32.50% or $7.86 billion of the total in 2024. Going forward, the warehouse management segment is expected to be the fastest growing segment in the AI in logistics and supply chain management market segmented by applications, at a CAGR of 50.50% during 2024-2029.

The AI in logistics and supply chain management market is segmented by end user into automotive, aerospace, manufacturing, retail, healthcare and other end users. The automotive market was the largest segment of the AI in logistics and supply chain management market segmented by end user, accounting for 27.28% or $6.6 billion of the total in 2024. Going forward, the healthcare segment is expected to be the fastest growing segment in the AI in logistics and supply chain management market segmented by end user, at a CAGR of 51.56% during 2024-2029.

North America was the largest region in the AI in logistics and supply chain management market, accounting for 41.85% or $10.12 billion of the total in 2024. It was followed by Asia Pacific, Western Europe and then the other regions. Going forward, the fastest-growing regions in the AI in logistics and supply chain management market will be Asia Pacific and Western Europe where growth will be at CAGRs of 47.44% and 44.39% respectively. These will be followed by Middle East and Africa where the markets are expected to grow at CAGRs of 44.28% and 42.59% respectively.

Market-trend-based strategies for the AI in logistics and supply chain management market include developing innovative products, such as AI-driven order allocation and optimization, developing AI-powered fleet optimization, developing technologically advanced products, such as AI-powered platforms, developing Software as a Service (SaaS) solution and developing AI-powered supply chain management platforms.

Player-adopted strategies in the AI in logistics and supply chain management market include focus on technological advancement to enhance procurement and supply chain operations through AI capabilities and focus on enhancing business operations through strategic collaborations and partnerships.

To take advantage of the opportunities, the analyst recommends the AI in logistics and supply chain management companies to focus on leveraging Ai to optimize order allocation and fulfillment, focus on developing Ai-powered logistics solutions to drive efficiency, focus on developing Ai-powered platforms for operational efficiency, focus on developing scalable SaaS solutions for operational efficiency, focus on developing Ai-powered platforms for operational efficiency, expand in emerging markets, focus on expanding distribution channels through strategic partnerships, focus on expanding distribution networks through direct and indirect channels, focus on targeted marketing campaigns and partnerships, focus on customer-centric promotions with real-time benefits, focus on targeting hospitals and diagnostic centers for enhanced market penetration and focus on targeting the commercial market for growth.

Key Attributes:

Report Attribute	Details
No. of Pages	316
Forecast Period	2024 - 2034
Estimated Market Value (USD) in 2024	$24.19 Billion
Forecasted Market Value (USD) by 2034	$742.37 Billion
Compound Annual Growth Rate	40.8%
Regions Covered	Global

Top Opportunities

• The top opportunities in the AI in logistics and supply chain management market segmented by offering will arise in the solution segment, which will gain $84.76 billion of global annual sales by 2029.
• The top opportunities in the AI in logistics and supply chain management market segmented by type will arise in the machine learning segment, which will gain $49.83 billion of global annual sales by 2029.
• The top opportunities in the AI in logistics and supply chain management market segmented by deployment will arise in the cloud-based segment, which will gain $79.09 billion of global annual sales by 2029.
• The top opportunities in the AI in logistics and supply chain management market segmented by application will arise in the supply chain planning segment, which will gain $38.86 billion of global annual sales by 2029.
• The top opportunities in the AI in logistics and supply chain management market segmented by end user will arise in the automotive segment, which will gain $31.37 billion of global annual sales by 2029.
• The AI in logistics and supply chain management market size will gain the most in the USA at $31.21 billion.

Major Market Trends

• AI-Driven Order Allocation and Optimization for Enhanced Supply Chain Efficiency
• AI-Powered Fleet Optimization for Enhanced Logistics Efficiency
• AI-Powered Platform Revolutionizing Logistics and Inventory Management
• AI-Driven Route Optimization SaaS for Enhanced Logistics Efficiency
• AI-Powered Supply Chain Management Platform for Enhanced Efficiency and Risk Mitigation

Key Mergers and Acquisitions

• Demand Chain AI Inc. Acquired Replan
• Exiger Acquired XSB
• Exiger Acquired Versed AI
• Singing Machine Company Acquired SemiCab
• Accenture Plc Acquired Flo Group
• Accenture Acquired Trancom ITS

For more information about this report visit https://www.researchandmarkets.com/r/u3lhjm

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