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.
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.
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.
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.
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.
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.
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
Table of Contents
1 Executive Summary
6 Market Characteristics
7 Major Market Trends
8 AI in Logistics and Supply Chain Management Market - Macro Economic Scenario
9 Global Market Size and Growth
10 Global AI in Logistics and Supply Chain Management Market Segmentation
11 AI in Logistics and Supply Chain Management Market, Regional and Country Analysis
12 Asia-Pacific Market
13 Western Europe Market
14 Eastern Europe Market
15 North America Market
16 South America Market
17 Middle East Market
18 Africa Market
19 Competitive Landscape and Company Profiles
20 Other Major and Innovative Companies
23 Key Mergers and Acquisitions
24 Opportunities and Strategies
25 AI in Logistics and Supply Chain Management Market, Conclusions and Recommendations
26 Appendix
Executive Summary
AI in Logistics and Supply Chain Management Global Market Opportunities and Strategies to 2034 provides the strategists; marketers and senior management with the critical information they need to assess the global AI in logistics and supply chain management market as it emerges from the COVID-19 shut down.Reasons to Purchase:
- Gain a truly global perspective with the most comprehensive report available on this market covering 15 geographies.
- Understand how the market is being affected by the coronavirus and how it is likely to emerge and grow as the impact of the virus abates.
- Create regional and country strategies on the basis of local data and analysis.
- Identify growth segments for investment.
- Outperform competitors using forecast data and the drivers and trends shaping the market.
- Understand customers based on the latest market research findings.
- Benchmark performance against key competitors.
- Utilize the relationships between key data sets for superior strategizing.
- Suitable for supporting your internal and external presentations with reliable high-quality data and analysis.
Description
Where is the largest and fastest-growing market for AI in logistics and supply chain management? How does the market relate to the overall economy; demography and other similar markets? What forces will shape the market going forward? The AI in logistics and supply chain management 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 history and forecasts market growth by geography. It places the market within the context of the wider AI in logistics and supply chain management market; and compares it with other markets.
The report covers the following chapters:
- Introduction and Market Characteristics - Brief introduction to the segmentations covered in the market, definitions and explanations about the segment by offering, by types, by deployment, by application and by end user.
- Key Trends - Highlights the major trends shaping the global market. This section also highlights likely future developments in the market.
- Macro-Economic Scenario - the report provides an analysis of the impact of the COVID-19 pandemic, impact of the Russia-Ukraine war and impact of rising inflation on global and regional markets, providing strategic insights for businesses in the AI in logistics and supply chain management market.
- Global Market Size and Growth Global historic (2019-2024) and forecast (2024-2029, 2034F) market values and drivers and restraints that support and control the growth of the market in the historic and forecast periods.
- Regional and Country Analysis Historic (2019-2024) and forecast (2024-2029, 2034F) market values and growth and market share comparison by region and country.
- Market Segmentation Contains the market values (2019-2024) (2024-2029, 2034F) and analysis for each segment by offering, by types, by deployment, by application and by end user in the market. Historic (2019-2024) and forecast (2024-2029) and (2029-2034) market values and growth and market share comparison by region market.
- Regional Market Size and Growth Regional market size (2024), historic (2019-2024) and forecast (2024-2029, 2034F) market values and growth and market share comparison of countries within the region. This report includes information on all the regions Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa and major countries within each region.
- Competitive Landscape - Details on the competitive landscape of the market, estimated market shares and company profiles of the leading players.
- Other Major and Innovative Companies Details on the company profiles of other major and innovative companies in the market.
- Competitive Benchmarking - Briefs on the financials comparison between major players in the market.
- Competitive Dashboard - Briefs on competitive dashboard of major players.
- Key Mergers and Acquisitions - Information on recent mergers and acquisitions in the market is covered in the report. This section gives key financial details of mergers and acquisitions which have shaped the market in recent years.
- Market Opportunities and Strategies - Describes market opportunities and strategies based on findings of the research, with information on growth opportunities across countries, segments and strategies to be followed in those markets.
- Conclusions and Recommendations - This section includes recommendations for AI in logistics and supply chain management providers in terms of product/service offerings geographic expansion, marketing strategies and target groups.
- Appendix - This section includes details on the NAICS codes covered, abbreviations and currencies codes used in this report.
Markets Covered:
1) by Offering: Solution; Services2) by Type: Machine Learning; Natural Language Processing (NLP); Computer Vision; Context-Aware Computing; Others
3) by Deployment: Cloud-Based; on-Premise
4) by Application: Warehouse Management; Transportation Management; Order Fulfilment; Demand Forecasting; Inventory Optimization; Supply Chain Planning; Other Applications
5) by End User: Pulp and Paper Industry; Automotive; Aerospace; Manufacturing; Retail; Healthcare; Other End Users
Key Companies Mentioned: GEP; Blue Yonder; Infor; HAVI; Vorto
Countries: China; Australia; India; Indonesia; Japan; South Korea; USA; Canada; Brazil; France; Germany; UK; Italy; Spain; Russia
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; AI in logistics and supply chain management indicators comparison.
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.
Companies Mentioned
Some of the major companies featured in this AI in Logistics and Supply Chain Management market report include:- GEP
- Blue Yonder
- Infor
- HAVI
- Vorto
- FourKites
- Coupa Software Inc.
- Amazon Web Services (AWS)
- Shipsy
- International Business Machines Corporation (IBM Corporation)
- Freshippo
- NimbusPost
- Jeena & Company
- Shyplite
- Dexterity
- Sumitomo Corporation
- Accenture
- Central Soft
- Trancom ITS
- Samsung SDS
- Toll Group
- Linfox
- WiseTech Global
- Shadowfax
- Rivigo
- LogiNext
- Yusen Logistics
- Panasonic Logistics
- CJ Logistics
- JD Logistics
- SF Express
- ZTO Express
- Baidu
- DHL Supply Chain
- CMA CGM
- CEVA Logistics
- HERE Technologies
- Massachusetts Institute of Technology (MIT)
- Mecalux
- Hitachi Rail
- XPO Logistics
- Geodis
- Siemens
- Kuehne + Nagel
- SCS Group
- Żabka Group
- LPP Logistics
- Allegro
- InPost
- Sberbank AI Logistics
- Microsoft Corporation
- Google LLC (Alphabet Inc.)
- Meta Platforms, Inc.
- NVIDIA Corporation
- Adobe Inc.
- Oracle Corporation
- Waabi
- Logility Inc.
- Advanced Micro Devices, Inc. (AMD)
- Coupa
- Anaplan
- e2open, LLC
- Manhattan Associates
- Kinaxis
- Blue Yonder Group, Inc.
- ServiceNow
- o9 Solutions, Inc.
- Intel Corporation
- Project44
- General Electric (GE)
- C.H. Robinson
- Inspectorio
- Maersk
- SAP SE
- mSE Solutions
- Mercado Libre
- Globant
- Deloitte Touche Tohmatsu Limited
- Despegar
- RoutEasy
- Qwak
- JFrog
- Mobileye
- Nvidia
- Windward Ltd.
- Flutterwave
- JUMO
- Sensi.AI
- OctoML, Inc.
- Autogon AI
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 316 |
| Published | February 2025 |
| Forecast Period | 2024 - 2034 |
| Estimated Market Value ( USD | $ 24.19 Billion |
| Forecasted Market Value ( USD | $ 742.37 Billion |
| Compound Annual Growth Rate | 40.8% |
| Regions Covered | Global |
| No. of Companies Mentioned | 90 |
