The global Artificial Intelligence in Transportation and Logistics Market size was valued at USD 5.8 Billion in 2024 and is projected to expand at a compound annual growth rate (CAGR) of 18.5% during the forecast period, reaching a value of USD 23.1 Billion by 2032.
The Artificial Intelligence in Transportation and Logistics Market Research Report" by Future Data Stats provides an in-depth examination of the market landscape, utilizing historical data from 2021 to 2023 to identify key trends and growth patterns. Setting 2024 as the foundational year, the report explores consumer behavior, competitive forces, and regulatory frameworks that influence the industry. It transcends basic analysis, delivering a thoroughly researched forecast extending from 2025 to 2033. By employing sophisticated data analysis methodologies, the report not only outlines the market's growth trajectory but also uncovers emerging opportunities and foresees potential obstacles, empowering stakeholders with vital insights to adeptly navigate the changing market landscape.
MARKET OVERVIEW:
Artificial Intelligence in transportation and logistics improves how goods and services move across supply chains. It enables real-time route optimization, demand forecasting, and inventory tracking. Companies use AI tools to make faster decisions, reduce delays, and enhance customer experiences. Machine learning algorithms also help identify patterns that improve efficiency and lower costs. Businesses adopt AI to stay competitive in a fast-changing market. It supports smart warehouse management, predictive maintenance, and autonomous delivery systems. With AI, logistics providers can respond to disruptions quickly and manage resources more effectively. This shift drives innovation across the industry and reshapes global trade operations.
MARKET DYNAMICS:
The transportation and logistics sector is undergoing a significant transformation as companies actively embrace artificial intelligence to enhance efficiency and decision-making. Organizations are now integrating AI-powered tools for real-time route optimization, automated warehousing, and predictive maintenance, enabling them to reduce operational costs and improve delivery timelines. These innovations are not just streamlining supply chain workflows—they’re also reshaping how logistics businesses interact with customers through smarter tracking systems and more accurate demand forecasting. Looking ahead, the industry is gearing up for broader adoption of autonomous delivery vehicles and AI-driven fleet management systems. Startups and established players alike are exploring the potential of machine learning and computer vision to tackle challenges such as last-mile delivery and fuel consumption. As investments in smart infrastructure grow, AI is set to play a pivotal role in building more responsive, adaptive logistics networks, opening new avenues for growth and competitive advantage in global markets.
Increasing globalization has heightened the demand for efficient supply chain solutions, prompting companies to streamline operations. Technological advancements, such as automation and data analytics, empower businesses to optimize routes and reduce costs. Additionally, the rise of e-commerce has transformed consumer expectations, necessitating faster and more reliable delivery services. As companies adapt to these shifts, they invest in innovative logistics strategies to enhance customer satisfaction and maintain competitiveness. Regulatory challenges and environmental concerns can impede operational efficiency and increase compliance costs. By adopting green logistics practices and investing in sustainable technologies, businesses can not only address regulatory pressures but also appeal to environmentally conscious consumers. As the market evolves, companies that embrace these opportunities will likely gain a competitive edge and drive future growth.
ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET ANALYSIS
BY COMPONENT:
Artificial Intelligence in transportation and logistics is reshaping how businesses manage complex supply chain operations. Companies rely on AI to automate tasks, reduce delivery times, and improve tracking accuracy. The market continues to grow as more businesses seek smarter and faster logistics solutions. By component, hardware plays a key role in supporting AI systems through sensors, GPS devices, and automated machinery. These tools enable real-time data collection and streamline physical operations across transport networks. Without reliable hardware, AI cannot function efficiently in this fast-moving sector.
Software drives the intelligence behind AI operations, from route planning to predictive analytics. Services complete the picture by offering system integration, maintenance, and support. Together, hardware, software, and services form the core of AI adoption, helping companies boost performance and meet rising customer demands.
BY TECHNOLOGY:
Companies in the transportation and logistics industry are increasingly turning to machine learning to boost efficiency and accuracy. ML helps analyze large datasets, predict delivery times, and optimize routes based on traffic or weather conditions. These capabilities enable faster decision-making and reduce fuel consumption, giving businesses a clear edge in daily operations. Natural language processing is improving how companies handle communication, especially in customer service and logistics coordination. By enabling systems to understand and respond to human language, NLP tools streamline shipment tracking, automate responses, and manage queries without human input. This technology helps logistics providers maintain better customer relationships while reducing manual workloads.
Computer vision and robotic process automation are also gaining momentum. Computer vision enhances warehouse operations by enabling automated inspection and inventory tracking, while RPA handles repetitive tasks such as scheduling and invoicing. Together, these technologies reduce errors and improve productivity, allowing transportation and logistics firms to scale efficiently.
BY APPLICATION:
Artificial Intelligence is transforming the transportation and logistics market by improving how companies manage operations. It helps businesses cut delays, reduce costs, and make faster decisions. With AI, logistics providers can stay ahead in a fast-paced and demanding environment. Fleet management benefits from AI through real-time monitoring and automated scheduling. Predictive maintenance uses data to prevent equipment failures before they happen. Route optimization tools adjust delivery paths instantly, saving time and fuel. These applications help keep supply chains efficient and reliable.
AI also improves inventory management by tracking stock levels and forecasting demand. Autonomous vehicles are gaining attention for their role in reducing human error and improving safety. Other applications continue to emerge as companies explore new ways to integrate AI into daily logistics tasks.
BY MODE OF TRANSPORT:
Artificial intelligence is transforming road transport by improving vehicle tracking, route planning, and fleet management. Companies now use AI systems to monitor traffic patterns and adjust delivery schedules in real time. This shift helps reduce delays and enhances overall delivery performance on highways and city roads. Railways are also benefiting from AI through predictive maintenance and scheduling optimization. Operators use data-driven insights to detect equipment issues before breakdowns occur, reducing downtime and repair costs. These systems also help manage train schedules more efficiently, improving both safety and punctuality.
In air and sea transport, AI is playing a critical role in cargo management and navigation. Airlines rely on AI to streamline baggage handling and fuel management, while shipping companies use intelligent systems for route optimization and port scheduling. These advancements support faster, more reliable global transport operations across both airways and seaways.
BY DEPLOYMENT MODE:
Artificial Intelligence in transportation and logistics is changing how companies handle data and make decisions. Deployment mode plays a key role in how businesses access and use AI tools. Choosing the right setup helps improve performance and meet specific operational needs. On-premises deployment gives companies full control over their systems and data. It suits businesses with strict security policies or complex infrastructure needs. This setup allows for customization and direct management of AI processes.
Cloud-based deployment offers flexibility and easy access to updates and services. It supports real-time data sharing across locations and scales quickly as demand grows. Many companies prefer cloud solutions for their lower upfront costs and faster implementation.
BY ORGANIZATION SIZE:
Large enterprises in the transportation and logistics sector are actively adopting artificial intelligence to handle complex operations at scale. They use AI for predictive analytics, real-time tracking, and supply chain optimization. These tools help them reduce costs, manage risks, and respond quickly to market demands. Small and medium-sized enterprises are also turning to AI to stay competitive. They rely on cloud-based AI solutions to automate routine tasks and improve delivery accuracy. With limited resources, SMEs benefit from AI’s ability to boost efficiency without requiring large investments in infrastructure.
Across all organization sizes, the growing availability of user-friendly AI tools is leveling the playing field. Businesses of every scale are using intelligent systems to improve service quality, make faster decisions, and build more flexible logistics networks.
BY END-USER INDUSTRY:
Artificial Intelligence is reshaping the transportation and logistics market by helping industries streamline operations. It supports faster deliveries, better tracking, and smarter planning. Each end-user industry applies AI in ways that match their unique supply chain needs. Retail and e-commerce use AI to manage order fulfillment and last-mile delivery. Manufacturing companies rely on AI to monitor production timelines and optimize warehouse logistics. The automotive sector benefits from AI through smart parts tracking and efficient transport scheduling.
Healthcare and food industries turn to AI for accurate delivery and compliance with safety standards. AI helps ensure time-sensitive goods reach their destination without delays. Other industries also explore AI solutions to boost performance and meet customer expectations.
REGIONAL ANALYSIS:
North America leads the adoption of artificial intelligence in transportation and logistics, driven by strong technological infrastructure and early investment from major logistics companies. The region sees widespread use of AI in fleet management, predictive analytics, and autonomous delivery systems. The presence of key industry players and continuous funding for innovation further support the region’s growth in AI-driven logistics solutions.
In contrast, Asia Pacific is rapidly catching up, fueled by booming e-commerce, expanding urban centers, and supportive government initiatives. Countries like China, Japan, and India are investing in smart transportation systems and AI-based logistics platforms to meet growing demand. Meanwhile, Europe focuses on sustainable and efficient transport, using AI to reduce emissions and improve supply chain visibility. Latin America, the Middle East, and Africa are gradually adopting AI, with improvements seen in port automation and route optimization, driven by growing interest in digital transformation across logistics operations.
MERGERS & ACQUISITIONS:
- In January 15, 2024: Amazon Logistics launches an AI-powered route optimization tool for last-mile delivery, integrating real-time traffic and weather data.
- In February 8, 2024: NVIDIA partners with TuSimple to deploy next-gen AI chips for autonomous trucking systems.
- In March 22, 2024: FedEx pilots AI-enabled drone delivery systems in rural Texas, leveraging computer vision for precision drops.
- In April 5, 2024: Waymo Via (Alphabet’s autonomous trucking unit) expands testing of AI-driven freight trucks in Arizona.
- In May 17, 2024: IBM launches Watson-powered AI tools for predictive maintenance in rail logistics across Europe.
- In June 3, 2024: Tesla Semi begins mass production of AI-automated electric trucks, targeting Walmart and PepsiCo.
KEY MARKET PLAYERS:
- Samsara
- Waymo
- FourKites
- Blue Yonder
- XPO Logistics
- IBM
- Microsoft
- SAP
- Oracle
- C.H. Robinson
- LeewayHertz
- Transmetrics
- Shipsy
- Shippeo
- Baltic Transline
TABLE OF CONTENT
1. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET–REPORT OVERVIEW 19
1.1. SCOPE OF THE REPORT 20
1.2. MARKET SEGMENT ANALYSIS 21
1.3. REGULATORY SCENARIO BY REGION/COUNTRY 22
1.4. MARKET INVESTMENT SCENARIO STRATEGIC 22
1.5. MARKET ANALYSIS BY COMPONENT (USD MILLION) 23
1.5.1 GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET SHARE BY COMPONENT (2024-2031) 23
1.5.2 HARDWARE 23
1.5.3 SOFTWARE 23
1.5.4 SERVICES 23
1.6. MARKET ANALYSIS BY TECHNOLOGY (USD MILLION) 24
1.6.1 GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET SHARE BY TECHNOLOGY (2024-2031) 24
1.6.2 MACHINE LEARNING (ML) 24
1.6.3 NATURAL LANGUAGE PROCESSING (NLP) 24
1.6.4 COMPUTER VISION 24
1.6.5 ROBOTICS PROCESS AUTOMATION (RPA) 24
1.7. MARKET ANALYSIS BY APPLICATION (USD MILLION) 25
1.7.1 GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET SHARE BY APPLICATION (2024-2031) 25
1.7.2 FLEET MANAGEMENT 25
1.7.3 PREDICTIVE MAINTENANCE 25
1.7.4 ROUTE OPTIMIZATION 25
1.7.5 INVENTORY MANAGEMENT 25
1.7.6 AUTONOMOUS VEHICLES 25
1.7.7 OTHERS 25
1.8. MARKET ANALYSIS BY MODE OF TRANSPORT (USD MILLION) 26
1.8.1 GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET SHARE BY MODE OF TRANSPORT (2024-2031) 26
1.8.2 ROADWAYS 26
1.8.3 RAILWAYS 26
1.8.4 AIRWAYS 26
1.8.5 SEAWAYS 26
1.9. MARKET ANALYSIS BY DEPLOYMENT MODE (USD MILLION) 27
1.9.1 GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET SHARE BY DEPLOYMENT MODE (2024-2031) 27
1.9.2 ON-PREMISES 27
1.9.3 CLOUD-BASED 27
1.10. MARKET ANALYSIS BY ORGANIZATION SIZE (USD MILLION) 28
1.10.1 GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET SHARE BY ORGANIZATION SIZE (2024-2031) 28
1.10.2 LARGE ENTERPRISES 28
1.10.3 SMALL AND MEDIUM-SIZED ENTERPRISES (SMES) 28
1.11. MARKET ANALYSIS BY END-USER INDUSTRY (USD MILLION) 29
1.11.1 GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET SHARE BY END-USER INDUSTRY (2024-2031) 29
1.11.2 RETAIL & E-COMMERCE 29
1.11.3 MANUFACTURING 29
1.11.4 AUTOMOTIVE 29
1.11.5 HEALTHCARE 29
1.11.6 FOOD & BEVERAGES 29
1.11.7 OTHERS 29
2. DRIVER RESTRAINT CHALLENGE AND OPPORTUNITIES OF ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET 30
2.1. DRIVER, RESTRAINT, CHALLENGE AND OPPORTUNITIES ANALYSIS 30
2.1.1 MARKET DRIVER ANALYSIS 31
2.1.2 MARKET RESTRAINT ANALYSIS 31
2.1.3 MARKET OPPORTUNITY ANALYSIS 31
2.1.4 MARKET CHALLENGE ANALYSIS 31
3. GLOBAL GROWTH TRENDS 32
3.1. INDUSTRY TRENDS 32
3.1.1 SWOT ANALYSIS 32
3.1.1.1 Strengths 33
3.1.1.2 Weaknesses 33
3.1.1.3 Opportunities 33
3.1.1.4 Threats 33
3.1.2 PESTEL ANALYSIS 34
3.1.2.1 Political Landscape 35
3.1.2.2 Economic Landscape 35
3.1.2.3 Social Landscape 35
3.1.2.4 Technological Landscape 35
3.1.2.5 Environmental Landscape 36
3.1.2.6 Legal Landscape 36
3.1.3 PORTER’S FIVE FORCES ANALYSIS 37
3.1.3.1 Bargaining Power of Suppliers 38
3.1.3.2 Bargaining Power of Buyers 38
3.1.3.3 Threat of Substitute 38
3.1.3.4 Threat of New Entrant 38
3.1.3.5 Competitive Rivalry 39
3.2. VALUE CHAIN ANALYSIS 40
3.3. TRENDS BY REGION 41
4. POST COVID ANALYSIS 42
4.1. COVID-19 IMPACT ANALYSIS 42
4.2. COVID V ANALYSIS 43
4.3. COVID U ANALYSIS 43
4.4. COVID L ANALYSIS 43
4.5. COVID W ANALYSIS 43
5. COMPETITIVE LANDSCAPE 44
5.1. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, SALES AREA, PRODUCT TYPE 44
5.2. MERGERS & ACQUISITIONS, PARTNERSHIPS, PRODUCT LAUNCH, AND COLLABORATION IN GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET 45
5.3. COMPANY LIST IN THE GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET 46
5.4. STRATEGY FRAMEWORK 47
5.5. TOP COMPANIES MARKET SHARE (%), 2024 48
6. EXCEUTIVE SUMMARY 49
7. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET FORECAST, 2020-2031, (USD MILLION) 50
7.1. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS REVENUE AND MARKET SHARE BY REGIONS 50
7.2. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET AND MARKET SHARE BY REGION (2020-2025) 54
7.3. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET AND MARKET SHARE BY REGION (2026-2031) 56
7.3.1.1 North America 59
7.3.1.2 Europe 59
7.3.1.3 Asia Pacific 59
7.3.1.4 Latin America 59
7.3.1.5 Middle East & Africa 59
8. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET ANALYSIS BY COUNTRIES, (USD MILLION) 70
8.1. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS REVENUE AND MARKET SHARE BY COUNTRIES 70
8.2. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET AND MARKET SHARE BY COUNTRY (2020-2025) 71
8.3. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET AND MARKET SHARE BY COUNTRY (2026-2031) 73
8.3.1.1 United States 74
8.3.1.2 Canada 74
8.3.1.3 Mexico 75
9. EUROPE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET ANALYSIS BY COUNTRIES, (USD MILLION) 81
9.1. EUROPE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS REVENUE AND MARKET SHARE BY COUNTRIES 81
9.2. EUROPE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET AND MARKET SHARE BY COUNTRY (USD MILLION) (2020-2025) 82
9.3. EUROPE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET AND MARKET SHARE BY COUNTRY (USD MILLION) (2026-2031) 86
9.3.1.1 United Kingdom 89
9.3.1.2 Germany 89
9.3.1.3 France 89
9.3.1.4 Spain 89
9.3.1.5 Italy 89
9.3.1.6 Rest of Europe 89
10. ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET ANALYSIS BY COUNTRIES, (USD MILLION), (2020-2031) 102
10.1. ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS REVENUE AND MARKET SHARE BY COUNTRIES 102
10.2. ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET AND MARKET SHARE BY COUNTRY (USD MILLION) (2020-2025) 103
10.3. ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET AND MARKET SHARE BY COUNTRY (USD MILLION) (2026-2031) 107
10.3.1.1 China 110
10.3.1.2 India 110
10.3.1.3 Japan 110
10.3.1.4 Australia 110
10.3.1.5 South Korea 110
10.3.1.6 Rest of Asia Pacific 110
11. MIDDLE EAST AND AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET ANALYSIS BY COUNTRIES, (USD MILLION) 123
11.1. MIDDLE EAST AND AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS REVENUE AND MARKET SHARE BY COUNTRIES 123
11.2. MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET AND MARKET SHARE BY COUNTRY (USD MILLION) (2020-2025) 124
11.3. MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET AND MARKET SHARE BY COUNTRY, (USD MILLION) (2026-2031) 126
11.3.1.1 Saudi Arabia 127
11.3.1.2 South Africa 127
11.3.1.3 Rest of MEA 127
12. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET ANALYSIS BY COUNTRIES, (USD MILLION) 135
12.1. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS REVENUE AND MARKET SHARE BY COUNTRIES 135
12.2. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET AND MARKET SHARE BY COUNTRY (USD MILLION) (2020-2025) 136
12.3. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET AND MARKET SHARE BY COUNTRY (USD MILLION) (2026-2031) 138
12.3.1.1 Brazil 139
12.3.1.2 Argentina 139
12.3.1.3 Rest of Latin America 140
13. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET SEGMENT BY COMPONENT, (USD MILLION) 146
13.1. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET AND MARKET SHARE BY COMPONENT (2020-2025) 146
13.2. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET AND MARKET SHARE BY COMPONENT (2026-2031) 147
13.3. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET AND MARKET SHARE BY COMPONENT, (2020-2025) 148
13.4. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET AND MARKET SHARE BY COMPONENT (2026-2031) 149
13.5. EUROPE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET AND MARKET SHARE BY COMPONENT (2020-2025) 150
13.6. EUROPE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET AND MARKET SHARE BY COMPONENT (2026-2031) 151
13.7. ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET AND MARKET SHARE BY COMPONENT (2020-2025) 152
13.8. ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET AND MARKET SHARE BY COMPONENT (2026-2031) 153
13.9. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET AND MARKET SHARE BY COMPONENT (2020-2025) 154
13.10. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET AND MARKET SHARE BY COMPONENT (2026-2031) 155
13.11. MIDDLE EAST AND AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET AND MARKET SHARE BY COMPONENT (2020-2025) 156
13.12. MIDDLE EAST AND AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET AND MARKET SHARE BY COMPONENT (2026-2031) 157
14. COMPANY PROFILES 158
14.1. SAMSARA 158
14.1.1 COMPANY DETAILS 158
14.1.2 FINANCIALS (USD MILLIONS) 159
14.1.3 PRODUCT SUMMARY 159
14.1.4 RECENT DEVELOPMENTS (MERGERS, ACQUISITION, LAUNCH & OTHERS) 159
14.2. WAYMO 160
14.3. FOURKITES 160
14.4. BLUE YONDER 160
14.5. XPO LOGISTICS 160
14.6. IBM 160
14.7. MICROSOFT 160
14.8. SAP 160
14.9. ORACLE 160
14.10. C.H. ROBINSON 160
14.11. LEEWAYHERTZ 160
14.12. TRANSMETRICS 160
14.13. SHIPSY 160
14.14. SHIPPEO 160
14.15. BALTIC TRANSLINE 160
15. CONCLUSION 161
16. REFERENCE LINK 162
17. APPENDIX 163
17.1. METHODOLOGY 163
17.2. RESEARCH DATA SOURCE 164
17.2.1 SECONDARY DATA 164
17.2.2 KEY DATA FROM SECONDARY 165
17.2.3 PRIMARY DATA 166
17.2.4 KEY DATA FROM PRIMARY 166
17.2.5 INDUSTRY INSIGHT FROM PROFESSIONAL LEADERS 167
17.2.6 MARKET ESTIMATION 167
17.2.7 MARKET ESTIMATION: TOP-DOWN AND BOTTOM-UP APPROACH 168
17.2.8 LEGAL DISCLAIMER 168
18. FUTURE DATA STATS - MARKET RESEARCH & CONSULTING 169
LIST OF TABLES
TABLE 1. MARKET SEGMENT 21
TABLE 2. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET GROWTH RATE BY COMPONENT (USD MILLION) (2024-2031) 23
TABLE 3. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET GROWTH RATE BY TECHNOLOGY (USD MILLION) (2024-2031) 24
TABLE 4. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET GROWTH RATE BY APPLICATION (USD MILLION) (2024-2031) 25
TABLE 5. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET GROWTH RATE BY MODE OF TRANSPORT (USD MILLION) (2024-2031) 26
TABLE 6. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET GROWTH RATE BY DEPLOYMENT MODE (USD MILLION) (2024-2031) 27
TABLE 7. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET GROWTH RATE BY ORGANIZATION SIZE (USD MILLION) (2024-2031) 28
TABLE 8. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET GROWTH RATE BY END-USER INDUSTRY (USD MILLION) (2024-2031) 29
TABLE 9. TRENDS BY REGION 41
TABLE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, SALES AREA, PRODUCT TYPE 44
TABLE 11. MERGERS & ACQUISITIONS, PARTNERSHIPS, PRODUCT LAUNCH, AND COLLABORATION IN GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET 45
TABLE 12. COMPANY LIST IN THE GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET 46
TABLE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET — MARKET SNAPSHOT & KEY BUYING CRITERIA, 2020 – 2031 49
TABLE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2020-2025) 52
TABLE 15. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2026-2031) 53
TABLE 16. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET BY REGION, USD MILLION (2020-2025) 54
TABLE 17. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET SHARE BY REGION, (2020-2025) 55
TABLE 18. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET BY REGION, USD MILLION (2026-2031) 56
TABLE 19. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET SHARE BY REGION, (2026-2031) 58
TABLE 20. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2020-2025) 60
TABLE 21. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2026-2031) 61
TABLE 22. EUROPE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2020-2025) 62
TABLE 23. EUROPE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2026-2031) 63
TABLE 24. ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2020-2025) 64
TABLE 25. ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2026-2031) 65
TABLE 26. MIDDLE EAST AND AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2020-2025) 66
TABLE 27. MIDDLE EAST AND AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2026-2031) 67
TABLE 28. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2020-2025) 68
TABLE 29. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2026-2031) 69
TABLE 30. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET BY COUNTRY, (2020-2025) 71
TABLE 31. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET SHARE BY COUNTRY, (2020-2025) 72
TABLE 32. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET BY COUNTRY, (2026-2031) 73
TABLE 33. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET SHARE BY COUNTRY, (2026-2031) 74
TABLE 34. UNITED STATES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2020-2025) 75
TABLE 35. UNITED STATES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2026-2031) 76
TABLE 36. CANADA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2020-2025) 77
TABLE 37. CANADA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2026-2031) 78
TABLE 38. MEXICO ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2020-2025) 79
TABLE 39. MEXICO ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2026-2031) 80
TABLE 40. EUROPE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET BY COUNTRY, (USD MILLION) (2020-2025) 82
TABLE 41. EUROPE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET SHARE BY COUNTRY, (USD MILLION) (2020-2025) 84
TABLE 42. EUROPE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET BY COUNTRY, (USD MILLION) (2026-2031) 86
TABLE 43. EUROPE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET SHARE BY COUNTRY, (USD MILLION) (2026-2031) 88
TABLE 44. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2020-2025) 90
TABLE 45. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2026-2031) 91
TABLE 46. GERMANY ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2020-2025) 92
TABLE 47. GERMANY ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2026-2031) 93
TABLE 48. FRANCE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2020-2025) 94
TABLE 49. FRANCE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2026-2031) 95
TABLE 50. SPAIN ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2020-2025) 96
TABLE 51. SPAIN ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2026-2031) 97
TABLE 52. ITALY ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2020-2025) 98
TABLE 53. ITALY ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2026-2031) 99
TABLE 54. REST OF EUROPE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2020-2025) 100
TABLE 55. REST OF EUROPE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2026-2031) 101
TABLE 56. ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET BY COUNTRY, (USD MILLION) (2020-2025) 103
TABLE 57. ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET SHARE BY COUNTRY, (%) (2020-2025) 105
TABLE 58. ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET BY COUNTRY, (2026-2031) 107
TABLE 59. ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET SHARE BY COUNTRY, (%) (2026-2031) 109
TABLE 60. CHINA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2020-2025) 111
TABLE 61. CHINA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2026-2031) 112
TABLE 62. INDIA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2020-2025) 113
TABLE 63. INDIA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2026-2031) 114
TABLE 64. JAPAN ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2020-2025) 115
TABLE 65. JAPAN ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2026-2031) 116
TABLE 66. AUSTRALIA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2020-2025) 117
TABLE 67. AUSTRALIA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2026-2031) 118
TABLE 68. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2020-2025) 119
TABLE 69. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2026-2031) 120
TABLE 70. REST OF ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2020-2025) 121
TABLE 71. REST OF ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2026-2031) 122
TABLE 72. MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET BY COUNTRY, (USD MILLION) (2020-2025) 124
TABLE 73. MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET SHARE BY COUNTRY, (2020-2025) 125
TABLE 74. MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET BY COUNTRY, (2026-2031) 126
TABLE 75. MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET SHARE BY COUNTRY, (2026-2031) 127
TABLE 76. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2020-2025) 129
TABLE 77. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2026-2031) 130
TABLE 78. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2020-2025) 131
TABLE 79. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2026-2031) 132
TABLE 80. REST OF MEA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2020-2025) 133
TABLE 81. REST OF MEA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2026-2031) 134
TABLE 82. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET BY COUNTRY, (USD MILLION) (2020-2025) 136
TABLE 83. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET SHARE BY COUNTRY, (%) (2020-2025) 137
TABLE 84. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET BY COUNTRY, (2026-2031) 138
TABLE 85. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET SHARE BY COUNTRY, (%) (2026-2031) 139
TABLE 86. BRAZIL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2020-2025) 140
TABLE 87. BRAZIL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2026-2031) 141
TABLE 88. ARGENTINA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2020-2025) 142
TABLE 89. ARGENTINA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2026-2031) 143
TABLE 90. REST OF LATIN AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2020-2025) 144
TABLE 91. REST OF LATIN AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (USD MILLION) (2026-2031) 145
TABLE 92. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET BY COMPONENT, USD MILLION (2020-2025) 146
TABLE 93. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET BY COMPONENT, USD MILLION (2026-2031) 147
TABLE 94. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET BY COMPONENT, USD MILLION (2020-2025) 148
TABLE 95. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET BY COMPONENT, USD MILLION (2026-2031) 149
TABLE 96. EUROPE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET BY COMPONENT, USD MILLION (2020-2025) 150
TABLE 97. EUROPE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET BY COMPONENT, USD MILLION (2026-2031) 151
TABLE 98. ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET BY COMPONENT, USD MILLION (2020-2025) 152
TABLE 99. ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET BY COMPONENT, USD MILLION (2026-2031) 153
TABLE 100. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET BY COMPONENT, USD MILLION (2020-2025) 154
TABLE 101. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET BY COMPONENT, USD MILLION (2026-2031) 155
TABLE 102. MIDDLE EAST AND AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET BY COMPONENT, USD MILLION (2020-2025) 156
TABLE 103. MIDDLE EAST AND AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET BY COMPONENT, USD MILLION (2026-2031) 157
LIST OF FIGURES
FIGURE 1. MARKET OVERVIEW 19
FIGURE 2. DROC OF ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS ANALYSIS 30
FIGURE 3. SWOT ANALYSIS 32
FIGURE 4. PESTEL ANALYSIS 34
FIGURE 5. PORTER’S FIVE FORCES ANALYSIS 37
FIGURE 6. COVID V, U, W AND L ANALYSIS 42
FIGURE 7. REGIONAL ANALSYIS 50
FIGURE 8. COUNTRY ANALYSIS 51
FIGURE 9. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2020-2025), (USD MILLION) 52
FIGURE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2026-2031), (USD MILLION) 53
FIGURE 11. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2020-2025), (USD MILLION), BY REGION 54
FIGURE 12. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET SHARE, (2022), BY REGION 55
FIGURE 13. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2026-2031), (USD MILLION), BY REGION 57
FIGURE 14. GLOBAL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET SHARE, (2031), BY REGION 58
FIGURE 15. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2020-2025), (USD MILLION) 60
FIGURE 16. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2026-2031), (USD MILLION) 61
FIGURE 17. EUROPE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2020-2025), (USD MILLION) 62
FIGURE 18. EUROPE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2026-2031), (USD MILLION) 63
FIGURE 19. ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2020-2025), (USD MILLION) 64
FIGURE 20. ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2026-2031), (USD MILLION) 65
FIGURE 21. MIDDLE EAST AND AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2020-2025), (USD MILLION) 66
FIGURE 22. MIDDLE EAST AND AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2026-2031), (USD MILLION) 67
FIGURE 23. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2020-2025), (USD MILLION) 68
FIGURE 24. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2026-2031), (USD MILLION) 69
FIGURE 25. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2020-2025), (USD MILLION), BY COUNTRY 71
FIGURE 26. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET SHARE, (2023), BY COUNTRY 72
FIGURE 27. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2026-2031), (USD MILLION), BY COUNTRY 73
FIGURE 28. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET SHARE, (2031), BY COUNTRY 74
FIGURE 29. UNITED STATES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2020-2025), (USD MILLION) 75
FIGURE 30. UNITED STATES ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2026-2031), (USD MILLION) 76
FIGURE 31. CANADA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2020-2025), (USD MILLION) 77
FIGURE 32. CANADA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2026-2031), (USD MILLION) 78
FIGURE 33. MEXICO ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2020-2025), (USD MILLION) 79
FIGURE 34. MEXICO ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2026-2031), (USD MILLION) 80
FIGURE 35. EUROPE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2020-2025), (USD MILLION), BY COUNTRY 83
FIGURE 36. EUROPE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET SHARE, (2023), BY COUNTRY 85
FIGURE 37. EUROPE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2026-2031), (USD MILLION), BY COUNTRY 87
FIGURE 38. EUROPE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET SHARE, (2030), BY COUNTRY 89
FIGURE 39. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2020-2025), (USD MILLION) 90
FIGURE 40. UNITED KINGDOM ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2026-2031), (USD MILLION) 91
FIGURE 41. GERMANY ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2020-2025), (USD MILLION) 92
FIGURE 42. GERMANY ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2026-2031), (USD MILLION) 93
FIGURE 43. FRANCE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2020-2025), (USD MILLION) 94
FIGURE 44. FRANCE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2026-2031), (USD MILLION) 95
FIGURE 45. SPAIN ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2020-2025), (USD MILLION) 96
FIGURE 46. SPAIN ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2026-2031), (USD MILLION) 97
FIGURE 47. ITALY ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2020-2025), (USD MILLION) 98
FIGURE 48. ITALY ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2026-2031), (USD MILLION) 99
FIGURE 49. REST OF EUROPE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2020-2025), (USD MILLION) 100
FIGURE 50. REST OF EUROPE ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2026-2031), (USD MILLION) 101
FIGURE 51. ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2020-2025), (USD MILLION), BY COUNTRY 104
FIGURE 52. ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET SHARE, (2023), BY COUNTRY 106
FIGURE 53. ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2024-2031), (USD MILLION), BY COUNTRY 108
FIGURE 54. ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET SHARE, (2031), BY COUNTRY 110
FIGURE 55. CHINA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2020-2025), (USD MILLION) 111
FIGURE 56. CHINA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2026-2031), (USD MILLION) 112
FIGURE 57. INDIA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2020-2025), (USD MILLION) 113
FIGURE 58. INDIA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2026-2031), (USD MILLION) 114
FIGURE 59. JAPAN ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2020-2025), (USD MILLION) 115
FIGURE 60. JAPAN ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2026-2031), (USD MILLION) 116
FIGURE 61. AUSTRALIA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2020-2025), (USD MILLION) 117
FIGURE 62. AUSTRALIA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2026-2031), (USD MILLION) 118
FIGURE 63. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2020-2025), (USD MILLION) 119
FIGURE 64. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2026-2031), (USD MILLION) 120
FIGURE 65. REST OF ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2020-2025), (USD MILLION) 121
FIGURE 66. REST OF ASIA PACIFIC ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2026-2031), (USD MILLION) 122
FIGURE 67. MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2020-2025), (USD MILLION), BY COUNTRY 124
FIGURE 68. MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET SHARE, (2023), BY COUNTRY 125
FIGURE 69. MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2026-2031), (USD MILLION), BY COUNTRY 126
FIGURE 70. MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET SHARE, (2031), BY COUNTRY 127
FIGURE 71. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2020-2025), (USD MILLION) 129
FIGURE 72. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2026-2031), (USD MILLION) 130
FIGURE 73. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2020-2025), (USD MILLION) 131
FIGURE 74. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2026-2031), (USD MILLION) 132
FIGURE 75. REST OF MEA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2020-2025), (USD MILLION) 133
FIGURE 76. REST OF MEA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2026-2031), (USD MILLION) 134
FIGURE 77. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2020-2025), (USD MILLION), BY COUNTRY 136
FIGURE 78. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET SHARE, (2023), BY COUNTRY 137
FIGURE 79. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2026-2031), (USD MILLION), BY COUNTRY 138
FIGURE 80. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET SHARE, (2031), BY COUNTRY 139
FIGURE 81. BRAZIL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2020-2025), (USD MILLION) 140
FIGURE 82. BRAZIL ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2026-2031), (USD MILLION) 141
FIGURE 83. ARGENTINA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2020-2025), (USD MILLION) 142
FIGURE 84. ARGENTINA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2026-2031), (USD MILLION) 143
FIGURE 85. REST OF LATIN AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2020-2025), (USD MILLION) 144
FIGURE 86. REST OF LATIN AMERICA ARTIFICIAL INTELLIGENCE IN TRANSPORTATION AND LOGISTICS MARKET, (2026-2031), (USD MILLION) 145
Artificial Intelligence in Transportation and Logistics Market
By Component:
- Hardware
- Software
- Services
By Technology:
- Machine Learning (ML)
- Natural Language Processing (NLP)
- Computer Vision
- Robotics Process Automation (RPA)
By Application:
- Fleet Management
- Predictive Maintenance
- Route Optimization
- Inventory Management
- Autonomous Vehicles
- Others
By Mode of Transport:
- Roadways
- Railways
- Airways
- Seaways
By Deployment Mode:
- On-Premises
- Cloud-Based
By Organization Size:
- Large Enterprises
- Small and Medium-sized Enterprises (SMEs)
By End-User Industry:
- Retail & E-commerce
- Manufacturing
- Automotive
- Healthcare
- Food & Beverages
- Others
By Geography:
- North America (USA, Canada, Mexico)
- Europe (UK, Germany, France, Italy, Spain, Rest of Europe)
- Asia-Pacific (China, Japan, Australia, South Korea, India, Rest of Asia-Pacific)
- South America (Brazil, Rest of South America)
- Middle East and Africa (GCC Countries, South Africa, Rest of MEA)
Key Reasons to Buy this Report
- Comprehensive Insights: Market research reports provide in-depth and comprehensive insights into various industries, markets, and sectors. These reports are prepared after extensive data collection, analysis, and interpretation, offering you valuable information and a clear understanding of market trends, dynamics, and opportunities.
- Future Predictions: Market research reports often include future data statistics, forecasts, and predictions. These predictions are based on rigorous analysis and modeling techniques, taking into account various factors such as market growth drivers, challenges, and emerging trends. By accessing these future data stats, you can make informed decisions and develop strategies that align with the projected market scenarios.
- Industry Analysis: Market research reports offer detailed industry analysis, including factors such as market size, market share, competitive landscape, and key players. These reports provide an overview of the industry's current status, growth potential, and competitive dynamics, enabling you to identify lucrative opportunities and stay ahead of the competition.
- Market Trends and Opportunities: By purchasing market research reports, you gain access to up-to-date information on market trends and emerging opportunities. These reports highlight the latest consumer preferences, technological advancements, regulatory changes, and other influential factors shaping the market landscape. Keeping track of these trends helps you identify potential growth areas and adapt your business strategies accordingly.
- Risk Mitigation: Investing in a market research report can help mitigate risks associated with market uncertainties. The reports provide insights into potential risks, challenges, and barriers to entry in specific markets or industries. With this knowledge, you can develop risk mitigation strategies, anticipate market fluctuations, and make informed decisions to minimize potential losses.
- Investment Decision Support: Market research reports are valuable tools for investors, venture capitalists, and financial institutions. These reports provide reliable and data-driven information that aids in investment decision-making processes. By analyzing market research reports, investors can evaluate the market potential, assess the feasibility of investment opportunities, and gauge the expected returns on investment.
- Product Development and Innovation: Market research reports offer insights into consumer preferences, needs, and demands. This information can be leveraged for product development and innovation. By understanding the market dynamics and consumer behavior, you can tailor your products or services to meet the evolving needs of your target audience, leading to enhanced customer satisfaction and market success.
- Strategic Planning: Market research reports serve as a foundation for strategic planning. They provide a comprehensive overview of the market landscape, competitive positioning, and growth potential. With this knowledge, you can develop effective business strategies, set realistic goals, and allocate resources efficiently. Strategic planning based on accurate market research helps optimize your operations and improve your chances of success.
- Market Entry and Expansion: For businesses looking to enter new markets or expand their existing operations, market research reports are indispensable. These reports provide insights into market dynamics, consumer behavior, regulatory frameworks, and competitive landscapes specific to the target markets. This information helps you assess the feasibility of market entry, identify potential obstacles, and develop market entry strategies that increase your chances of success.
- Evidence-Based Decision Making: Market research reports provide evidence-based data and analysis, enabling you to make informed decisions. Rather than relying on assumptions or guesswork, you can base your decisions on reliable information and market insights. Evidence-based decision making reduces the risk of costly mistakes and increases the likelihood of achieving your business objectives.
RESEARCH METHODOLOGY
With a collective industry experience of about 70 years of analysts and experts, Future Data Stats encompasses the most infallible research methodology for its market intelligence and industry analysis. Not only does the company dig deep into the innermost levels of the market, but also examines the minutest details for its market estimates and forecasts.
This approach helps build a greater market-specific view of size, shape, and industry trends within each industry segment. Various industry trends and real-time developments are factored into identifying key growth factors and the future course of the market. The research proceeds are the results of high-quality data, expert views & analysis, and valuable independent opinions. The research process is designed to deliver a balanced view of the global markets and allows stakeholders to make informed decisions, to attain their highest growth objectives.
Future Data Stats offers its clients exhaustive research and analysis, based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. These analytical tools and models distill the data & statistics and enhance the accuracy of our recommendations and advice.
With Future Data Stats calibrated research process and 360° data-evaluation methodology, the clients receive:
- Consistent, valuable, robust, and actionable data & analysis that can easily be referenced for strategic business planning
- Technologically sophisticated and reliable insights through a well-audited and veracious research methodology
- Sovereign research proceeds that present a tangible depiction of the marketplace
With this strong methodology, Future Data Stats ensures that its research and analysis is most reliable and guarantees sound business planning.
The research methodology of the global market involves extensive primary and secondary research. Primary research includes about 24 hours of interviews and discussions with a wide range of stakeholders that include upstream and downstream participants. Primary research typically is a bulk of our research efforts, coherently supported by extensive secondary research. Over 3000 product literature, industry releases, annual reports, and other such documents of key industry participants have been reviewed to obtain a better market understanding and gain enhanced competitive intelligence. In addition, authentic industry journals, trade associations’ releases, and government websites have also been reviewed to generate high-value industry insights.
Primary Research:
|
Primary Research
|
Desk Research
|
Company Analysis
|
|
• Identify key opinion leaders • Questionnaire design • In-depth Interviews • Coverage across the value chain
|
• Company Website • Company Annual Reports • Paid Databases • Financial Reports
|
• Market Participants • Key Strengths • Product Portfolio • Mapping as per Value Chain • Key focus segment
|
Primary research efforts include reaching out to participants through emails, telephonic conversations, referrals, and professional corporate relations with various companies that make way for greater flexibility in reaching out to industry participants and commentators for interviews and discussions.
The aforementioned helps to:
- Validate and improve data quality and strengthen the research proceeds
- Develop a market understanding and expertise
- Supply authentic information about the market size, share, growth, and forecasts
The primary research interview and discussion panels comprise experienced industry personnel.
These participants include, but are not limited to:
- Chief executives and VPs of leading corporations specific to an industry
- Product and sales managers or country heads; channel partners & top-level distributors; banking, investments, and valuation experts
- Key opinion leaders (KOLs)
Secondary Research:
A broad array of industry sources for the secondary research typically includes, but is not limited to:
- Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for a competitive scenario and shape of the industry
- Patent and regulatory databases to understand technical & legal developments
- Scientific and technical writings for product information and related preemptions
- Regional government and statistical databases for macro analysis
- Authentic news articles, web-casts, and other related releases to evaluate the market
- Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecasts
|
PRIMARY SOURCES |
DATA SOURCES |
|
• Top executives of end-use industries • C-level executives of the leading Parenteral Nutrition companies • Sales manager and regional sales manager of the Parenteral Nutrition companies • Industry Consultants • Distributors/Suppliers
|
• Annual Reports • Presentations • Company Websites • Press Releases • News Articles • Government Agencies’ Publications • Industry Publications • Paid Databases
|
Analyst Tools and Models:
|
BOTTOM-UP APPROACH |
TOP-DOWN APPROACH |
|
· Arriving at · Arriving at · Market Share · Key Market Players |
· Key Market Players · Market Share · Arriving at · Arriving at |
AI in Transportation and Logistics Market Dynamic Factors
Drivers:
- Boosts efficiency in route planning and fleet management
- Reduces operational costs through automation
- Enhances real-time tracking and decision-making
- Improves customer satisfaction with faster deliveries
Restraints:
- High initial setup and integration costs
- Limited skilled workforce to manage AI systems
- Data privacy and cybersecurity concerns
- Complexity in upgrading legacy systems
Opportunities:
- Growing demand for autonomous and smart delivery systems
- Expansion of cloud-based logistics platforms
- Rising investments in AI research and development
- Increasing adoption in emerging markets
Challenges:
- Regulatory hurdles around autonomous transport
- Inconsistent data quality across logistics networks
- Resistance to change in traditional operations
- Maintaining system accuracy under unpredictable conditions
AI in Transportation and Logistics Market Regional Key Trends Analysis
North America:
- Expands use of autonomous delivery vehicles.
- Invests in AI-powered route optimization tools.
- Enhances fleet tracking with real-time analytics.
Europe:
- Adopts AI for sustainable transport solutions.
- Uses smart logistics to reduce carbon emissions.
- Integrates predictive systems in rail networks.
Asia Pacific:
- Grows AI in last-mile delivery through e-commerce.
- Develops smart ports and automated warehousing.
- Promotes AI-backed public transport upgrades.
Latin America:
- Implements AI in cargo tracking systems.
- Supports digital freight platforms for logistics.
- Introduces automated customs clearance tools.
Middle East and Africa:
- Expands AI for intelligent traffic management.
- Invests in smart city logistics infrastructure.
- Adopts AI to streamline port operations.
Frequently Asked Questions
