Global AI in Logistics Market
Global AI in Logistics Market

AI in Logistics Comprehensive Study by Application (Automation of Ordering and Processing, Planning and Forecasting, Machine and Human Collaboration, Self-driving Vehicles, Self-driving Forklifts, Others), Industry Vertical (Food, Pharma, Retail, Manufacturing, Automotive, Others), Technology (Machine Learning (ML), Natural Language Processing (NLP), Context-Aware Computing, Computer Vision), Mode of Transportation (Roadways, Railways, Seaways, Airways) Players and Region - Global Market Outlook to 2026

AI in Logistics Market Segmented into XX Submarkets. | Forecast Years: 2021- 2026  

Feb 2021 Edition 200 Pages 216 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
Global AI in Logistics Market Overview:
The logistics industry is undergoing a fundamental shift as the volume of data and the number of devices used to increase, costs are reduced to maintain competitiveness, and the necessary inventory levels (staggered and on-the-go) must be maintained to ensure timely delivery and bottlenecks. Logistics includes purchasing and supply management, demand planning, and forecasting, transportation and network design, picking issues, and customer relationship management. Maintenance is simplified by automated processing, as regular repairs and maintenance are required to maintain the devices. Artificial intelligence collects information via sensors, which is combined with maintenance data. The best time to repair equipment in an organization is analyzed by the system in what is known as predictive maintenance. Inventory can be improved by reducing redundancy using intelligent storage processing and providing advanced technologies. In addition, artificial intelligence in supply management offers the possibility of tracking and maintaining the database of suppliers and shipping. All of this requires a certain degree of automation in the supply chain in order to be able to make timely decisions. Artificial intelligence is still in its early stages in logistics but is expected to grow rapidly. It is expected that the logistics industry will be reshaped with a high level of automation in the areas of manufacturing, logistics, storage, and delivery on the last mile. Machine and human collaboration enable intelligent order picking in logistics, and intelligent glasses enable intelligent hands-free functionality. Automated vehicles and drones are expected to change the paradigm of the logistics industry.

Growth Drivers
  • Need for on-time deliveries and instant go to market timings
  • Growing demand for convenience and safety
  • Increased acceptance and implementation of autonomous vehicles

Market Trends
  • Digitization of logistics leading to hyper customization
  • Growing Demand for Customization
  • Multiple collaborations across the supply chain

Roadblocks
  • Shortage of industry standards

Opportunities
  • Growing amount of data in logistics
  • Rising Compliance with privacy and data security regulations

Challenges
  • Increased automation will lead to job losses and can create social tensions


Competitive Landscape:
The companies are now exploring the market by adopting mergers & acquisitions, expansions, investments, new developments in existing products, and collaborations as their preferred strategies. The players are also exploring new geographies and industries through expansions and acquisitions so as to avail a competitive advantage through combined synergies.
Some of the key players profiled in the report are Amazon (United States), ClearMetal Inc. (United States), Deutsche Post AG DHL (Germany), FedEx (United States), General Electric (United States), Google LLC (United States), IBM Corporation (United States), Intel Corporation (United States), LLamasoft Inc. (United States), Micron Technology (United States), Microsoft Corporation (United States), NVIDIA Corporation (United States), Oracle Corporation (United States), SAP (Germany), Samsung (South Korea), Xilinx (United States), Fraight AI (United States), C.H. Robinson (United States), E2open (United States) and Relex Solution (Finland). Additionally, following companies can also be profiled that are part of our coverage like Presenso (United States), Cainiao Network (China), Splice Machine (United States) and Logility, Inc. (United States). Analyst at AMA Research see United States Players to retain maximum share of Global AI in Logistics market by 2026. Considering Market by Industry Vertical, the sub-segment i.e. Food will boost the AI in Logistics market. Considering Market by Technology, the sub-segment i.e. Machine Learning (ML) will boost the AI in Logistics market. Considering Market by Mode of Transportation, the sub-segment i.e. Roadways will boost the AI in Logistics market.

Available Customization:
Data related to EXIM [Export- Import], production & consumption by country or regional level break-up can be provided based on client request**
** Confirmation on availability of data would be provided prior to purchase

Research Methodology:
The top-down and bottom-up approaches are used to estimate and validate the size of the Global AI in Logistics market.
In order to reach an exhaustive list of functional and relevant players various industry classification standards are closely followed such as NAICS, ICB, SIC to penetrate deep in important geographies by players and a thorough validation test is conducted to reach most relevant players for survey in AI in Logistics market.
In order to make priority list sorting is done based on revenue generated based on latest reporting with the help of paid databases such as Factiva, Bloomberg etc.
Finally the questionnaire is set and specifically designed to address all the necessities for primary data collection after getting prior appointment by targeting key target audience that includes Providers of AI in Logistics, Potential Investors, Market Research Firms, Regulatory Bodies, End-Users and Others.
This helps us to gather the data related to players revenue, operating cycle and expense, profit along with product or service growth etc.
Almost 70-80% of data is collected through primary medium and further validation is done through various secondary sources that includes Regulators, World Bank, Association, Company Website, SEC filings, OTC BB, USPTO, EPO, Annual reports, press releases etc.
Report Objectives / Segmentation Covered
By Application
  • Automation of Ordering and Processing
  • Planning and Forecasting
  • Machine and Human Collaboration
  • Self-driving Vehicles
  • Self-driving Forklifts
  • Others
By Industry Vertical
  • Food
  • Pharma
  • Retail
  • Manufacturing
  • Automotive
  • Others

By Technology
  • Machine Learning (ML)
  • Natural Language Processing (NLP)
  • Context-Aware Computing
  • Computer Vision

By Mode of Transportation
  • Roadways
  • Railways
  • Seaways
  • Airways

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Need for on-time deliveries and instant go to market timings
      • 3.2.2. Growing demand for convenience and safety
      • 3.2.3. Increased acceptance and implementation of autonomous vehicles
    • 3.3. Market Challenges
      • 3.3.1. Increased automation will lead to job losses and can create social tensions
    • 3.4. Market Trends
      • 3.4.1. Digitization of logistics leading to hyper customization
      • 3.4.2. Growing Demand for Customization
      • 3.4.3. Multiple collaborations across the supply chain
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global AI in Logistics, by Application, Industry Vertical, Technology, Mode of Transportation and Region (value and price ) (2015-2020)
    • 5.1. Introduction
    • 5.2. Global AI in Logistics (Value)
      • 5.2.1. Global AI in Logistics by: Application (Value)
        • 5.2.1.1. Automation of Ordering and Processing
        • 5.2.1.2. Planning and Forecasting
        • 5.2.1.3. Machine and Human Collaboration
        • 5.2.1.4. Self-driving Vehicles
        • 5.2.1.5. Self-driving Forklifts
        • 5.2.1.6. Others
      • 5.2.2. Global AI in Logistics by: Industry Vertical (Value)
        • 5.2.2.1. Food
        • 5.2.2.2. Pharma
        • 5.2.2.3. Retail
        • 5.2.2.4. Manufacturing
        • 5.2.2.5. Automotive
        • 5.2.2.6. Others
      • 5.2.3. Global AI in Logistics by: Technology (Value)
        • 5.2.3.1. Machine Learning (ML)
        • 5.2.3.2. Natural Language Processing (NLP)
        • 5.2.3.3. Context-Aware Computing
        • 5.2.3.4. Computer Vision
      • 5.2.4. Global AI in Logistics by: Mode of Transportation (Value)
        • 5.2.4.1. Roadways
        • 5.2.4.2. Railways
        • 5.2.4.3. Seaways
        • 5.2.4.4. Airways
      • 5.2.5. Global AI in Logistics Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Taiwan
          • 5.2.5.2.6. Australia
          • 5.2.5.2.7. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
    • 5.3. Global AI in Logistics (Price)
  • 6. AI in Logistics: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2020)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Amazon (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. ClearMetal Inc. (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Deutsche Post AG DHL (Germany)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. FedEx (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. General Electric (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Google LLC (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. IBM Corporation (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Intel Corporation (United States)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. LLamasoft Inc. (United States)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Micron Technology (United States)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
      • 6.4.11. Microsoft Corporation (United States)
        • 6.4.11.1. Business Overview
        • 6.4.11.2. Products/Services Offerings
        • 6.4.11.3. Financial Analysis
        • 6.4.11.4. SWOT Analysis
      • 6.4.12. NVIDIA Corporation (United States)
        • 6.4.12.1. Business Overview
        • 6.4.12.2. Products/Services Offerings
        • 6.4.12.3. Financial Analysis
        • 6.4.12.4. SWOT Analysis
      • 6.4.13. Oracle Corporation (United States)
        • 6.4.13.1. Business Overview
        • 6.4.13.2. Products/Services Offerings
        • 6.4.13.3. Financial Analysis
        • 6.4.13.4. SWOT Analysis
      • 6.4.14. SAP (Germany)
        • 6.4.14.1. Business Overview
        • 6.4.14.2. Products/Services Offerings
        • 6.4.14.3. Financial Analysis
        • 6.4.14.4. SWOT Analysis
      • 6.4.15. Samsung (South Korea)
        • 6.4.15.1. Business Overview
        • 6.4.15.2. Products/Services Offerings
        • 6.4.15.3. Financial Analysis
        • 6.4.15.4. SWOT Analysis
      • 6.4.16. Xilinx (United States)
        • 6.4.16.1. Business Overview
        • 6.4.16.2. Products/Services Offerings
        • 6.4.16.3. Financial Analysis
        • 6.4.16.4. SWOT Analysis
      • 6.4.17. Fraight AI (United States)
        • 6.4.17.1. Business Overview
        • 6.4.17.2. Products/Services Offerings
        • 6.4.17.3. Financial Analysis
        • 6.4.17.4. SWOT Analysis
      • 6.4.18. C.H. Robinson (United States)
        • 6.4.18.1. Business Overview
        • 6.4.18.2. Products/Services Offerings
        • 6.4.18.3. Financial Analysis
        • 6.4.18.4. SWOT Analysis
      • 6.4.19. E2open (United States)
        • 6.4.19.1. Business Overview
        • 6.4.19.2. Products/Services Offerings
        • 6.4.19.3. Financial Analysis
        • 6.4.19.4. SWOT Analysis
      • 6.4.20. Relex Solution (Finland)
        • 6.4.20.1. Business Overview
        • 6.4.20.2. Products/Services Offerings
        • 6.4.20.3. Financial Analysis
        • 6.4.20.4. SWOT Analysis
  • 7. Global AI in Logistics Sale, by Application, Industry Vertical, Technology, Mode of Transportation and Region (value and price ) (2021-2026)
    • 7.1. Introduction
    • 7.2. Global AI in Logistics (Value)
      • 7.2.1. Global AI in Logistics by: Application (Value)
        • 7.2.1.1. Automation of Ordering and Processing
        • 7.2.1.2. Planning and Forecasting
        • 7.2.1.3. Machine and Human Collaboration
        • 7.2.1.4. Self-driving Vehicles
        • 7.2.1.5. Self-driving Forklifts
        • 7.2.1.6. Others
      • 7.2.2. Global AI in Logistics by: Industry Vertical (Value)
        • 7.2.2.1. Food
        • 7.2.2.2. Pharma
        • 7.2.2.3. Retail
        • 7.2.2.4. Manufacturing
        • 7.2.2.5. Automotive
        • 7.2.2.6. Others
      • 7.2.3. Global AI in Logistics by: Technology (Value)
        • 7.2.3.1. Machine Learning (ML)
        • 7.2.3.2. Natural Language Processing (NLP)
        • 7.2.3.3. Context-Aware Computing
        • 7.2.3.4. Computer Vision
      • 7.2.4. Global AI in Logistics by: Mode of Transportation (Value)
        • 7.2.4.1. Roadways
        • 7.2.4.2. Railways
        • 7.2.4.3. Seaways
        • 7.2.4.4. Airways
      • 7.2.5. Global AI in Logistics Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Taiwan
          • 7.2.5.2.6. Australia
          • 7.2.5.2.7. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. Mexico
    • 7.3. Global AI in Logistics (Price)
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. AI in Logistics: by Application(USD Million)
  • Table 2. AI in Logistics Automation of Ordering and Processing , by Region USD Million (2015-2020)
  • Table 3. AI in Logistics Planning and Forecasting , by Region USD Million (2015-2020)
  • Table 4. AI in Logistics Machine and Human Collaboration , by Region USD Million (2015-2020)
  • Table 5. AI in Logistics Self-driving Vehicles , by Region USD Million (2015-2020)
  • Table 6. AI in Logistics Self-driving Forklifts , by Region USD Million (2015-2020)
  • Table 7. AI in Logistics Others , by Region USD Million (2015-2020)
  • Table 8. AI in Logistics: by Industry Vertical(USD Million)
  • Table 9. AI in Logistics Food , by Region USD Million (2015-2020)
  • Table 10. AI in Logistics Pharma , by Region USD Million (2015-2020)
  • Table 11. AI in Logistics Retail , by Region USD Million (2015-2020)
  • Table 12. AI in Logistics Manufacturing , by Region USD Million (2015-2020)
  • Table 13. AI in Logistics Automotive , by Region USD Million (2015-2020)
  • Table 14. AI in Logistics Others , by Region USD Million (2015-2020)
  • Table 15. AI in Logistics: by Technology(USD Million)
  • Table 16. AI in Logistics Machine Learning (ML) , by Region USD Million (2015-2020)
  • Table 17. AI in Logistics Natural Language Processing (NLP) , by Region USD Million (2015-2020)
  • Table 18. AI in Logistics Context-Aware Computing , by Region USD Million (2015-2020)
  • Table 19. AI in Logistics Computer Vision , by Region USD Million (2015-2020)
  • Table 20. AI in Logistics: by Mode of Transportation(USD Million)
  • Table 21. AI in Logistics Roadways , by Region USD Million (2015-2020)
  • Table 22. AI in Logistics Railways , by Region USD Million (2015-2020)
  • Table 23. AI in Logistics Seaways , by Region USD Million (2015-2020)
  • Table 24. AI in Logistics Airways , by Region USD Million (2015-2020)
  • Table 25. South America AI in Logistics, by Country USD Million (2015-2020)
  • Table 26. South America AI in Logistics, by Application USD Million (2015-2020)
  • Table 27. South America AI in Logistics, by Industry Vertical USD Million (2015-2020)
  • Table 28. South America AI in Logistics, by Technology USD Million (2015-2020)
  • Table 29. South America AI in Logistics, by Mode of Transportation USD Million (2015-2020)
  • Table 30. Brazil AI in Logistics, by Application USD Million (2015-2020)
  • Table 31. Brazil AI in Logistics, by Industry Vertical USD Million (2015-2020)
  • Table 32. Brazil AI in Logistics, by Technology USD Million (2015-2020)
  • Table 33. Brazil AI in Logistics, by Mode of Transportation USD Million (2015-2020)
  • Table 34. Argentina AI in Logistics, by Application USD Million (2015-2020)
  • Table 35. Argentina AI in Logistics, by Industry Vertical USD Million (2015-2020)
  • Table 36. Argentina AI in Logistics, by Technology USD Million (2015-2020)
  • Table 37. Argentina AI in Logistics, by Mode of Transportation USD Million (2015-2020)
  • Table 38. Rest of South America AI in Logistics, by Application USD Million (2015-2020)
  • Table 39. Rest of South America AI in Logistics, by Industry Vertical USD Million (2015-2020)
  • Table 40. Rest of South America AI in Logistics, by Technology USD Million (2015-2020)
  • Table 41. Rest of South America AI in Logistics, by Mode of Transportation USD Million (2015-2020)
  • Table 42. Asia Pacific AI in Logistics, by Country USD Million (2015-2020)
  • Table 43. Asia Pacific AI in Logistics, by Application USD Million (2015-2020)
  • Table 44. Asia Pacific AI in Logistics, by Industry Vertical USD Million (2015-2020)
  • Table 45. Asia Pacific AI in Logistics, by Technology USD Million (2015-2020)
  • Table 46. Asia Pacific AI in Logistics, by Mode of Transportation USD Million (2015-2020)
  • Table 47. China AI in Logistics, by Application USD Million (2015-2020)
  • Table 48. China AI in Logistics, by Industry Vertical USD Million (2015-2020)
  • Table 49. China AI in Logistics, by Technology USD Million (2015-2020)
  • Table 50. China AI in Logistics, by Mode of Transportation USD Million (2015-2020)
  • Table 51. Japan AI in Logistics, by Application USD Million (2015-2020)
  • Table 52. Japan AI in Logistics, by Industry Vertical USD Million (2015-2020)
  • Table 53. Japan AI in Logistics, by Technology USD Million (2015-2020)
  • Table 54. Japan AI in Logistics, by Mode of Transportation USD Million (2015-2020)
  • Table 55. India AI in Logistics, by Application USD Million (2015-2020)
  • Table 56. India AI in Logistics, by Industry Vertical USD Million (2015-2020)
  • Table 57. India AI in Logistics, by Technology USD Million (2015-2020)
  • Table 58. India AI in Logistics, by Mode of Transportation USD Million (2015-2020)
  • Table 59. South Korea AI in Logistics, by Application USD Million (2015-2020)
  • Table 60. South Korea AI in Logistics, by Industry Vertical USD Million (2015-2020)
  • Table 61. South Korea AI in Logistics, by Technology USD Million (2015-2020)
  • Table 62. South Korea AI in Logistics, by Mode of Transportation USD Million (2015-2020)
  • Table 63. Taiwan AI in Logistics, by Application USD Million (2015-2020)
  • Table 64. Taiwan AI in Logistics, by Industry Vertical USD Million (2015-2020)
  • Table 65. Taiwan AI in Logistics, by Technology USD Million (2015-2020)
  • Table 66. Taiwan AI in Logistics, by Mode of Transportation USD Million (2015-2020)
  • Table 67. Australia AI in Logistics, by Application USD Million (2015-2020)
  • Table 68. Australia AI in Logistics, by Industry Vertical USD Million (2015-2020)
  • Table 69. Australia AI in Logistics, by Technology USD Million (2015-2020)
  • Table 70. Australia AI in Logistics, by Mode of Transportation USD Million (2015-2020)
  • Table 71. Rest of Asia-Pacific AI in Logistics, by Application USD Million (2015-2020)
  • Table 72. Rest of Asia-Pacific AI in Logistics, by Industry Vertical USD Million (2015-2020)
  • Table 73. Rest of Asia-Pacific AI in Logistics, by Technology USD Million (2015-2020)
  • Table 74. Rest of Asia-Pacific AI in Logistics, by Mode of Transportation USD Million (2015-2020)
  • Table 75. Europe AI in Logistics, by Country USD Million (2015-2020)
  • Table 76. Europe AI in Logistics, by Application USD Million (2015-2020)
  • Table 77. Europe AI in Logistics, by Industry Vertical USD Million (2015-2020)
  • Table 78. Europe AI in Logistics, by Technology USD Million (2015-2020)
  • Table 79. Europe AI in Logistics, by Mode of Transportation USD Million (2015-2020)
  • Table 80. Germany AI in Logistics, by Application USD Million (2015-2020)
  • Table 81. Germany AI in Logistics, by Industry Vertical USD Million (2015-2020)
  • Table 82. Germany AI in Logistics, by Technology USD Million (2015-2020)
  • Table 83. Germany AI in Logistics, by Mode of Transportation USD Million (2015-2020)
  • Table 84. France AI in Logistics, by Application USD Million (2015-2020)
  • Table 85. France AI in Logistics, by Industry Vertical USD Million (2015-2020)
  • Table 86. France AI in Logistics, by Technology USD Million (2015-2020)
  • Table 87. France AI in Logistics, by Mode of Transportation USD Million (2015-2020)
  • Table 88. Italy AI in Logistics, by Application USD Million (2015-2020)
  • Table 89. Italy AI in Logistics, by Industry Vertical USD Million (2015-2020)
  • Table 90. Italy AI in Logistics, by Technology USD Million (2015-2020)
  • Table 91. Italy AI in Logistics, by Mode of Transportation USD Million (2015-2020)
  • Table 92. United Kingdom AI in Logistics, by Application USD Million (2015-2020)
  • Table 93. United Kingdom AI in Logistics, by Industry Vertical USD Million (2015-2020)
  • Table 94. United Kingdom AI in Logistics, by Technology USD Million (2015-2020)
  • Table 95. United Kingdom AI in Logistics, by Mode of Transportation USD Million (2015-2020)
  • Table 96. Netherlands AI in Logistics, by Application USD Million (2015-2020)
  • Table 97. Netherlands AI in Logistics, by Industry Vertical USD Million (2015-2020)
  • Table 98. Netherlands AI in Logistics, by Technology USD Million (2015-2020)
  • Table 99. Netherlands AI in Logistics, by Mode of Transportation USD Million (2015-2020)
  • Table 100. Rest of Europe AI in Logistics, by Application USD Million (2015-2020)
  • Table 101. Rest of Europe AI in Logistics, by Industry Vertical USD Million (2015-2020)
  • Table 102. Rest of Europe AI in Logistics, by Technology USD Million (2015-2020)
  • Table 103. Rest of Europe AI in Logistics, by Mode of Transportation USD Million (2015-2020)
  • Table 104. MEA AI in Logistics, by Country USD Million (2015-2020)
  • Table 105. MEA AI in Logistics, by Application USD Million (2015-2020)
  • Table 106. MEA AI in Logistics, by Industry Vertical USD Million (2015-2020)
  • Table 107. MEA AI in Logistics, by Technology USD Million (2015-2020)
  • Table 108. MEA AI in Logistics, by Mode of Transportation USD Million (2015-2020)
  • Table 109. Middle East AI in Logistics, by Application USD Million (2015-2020)
  • Table 110. Middle East AI in Logistics, by Industry Vertical USD Million (2015-2020)
  • Table 111. Middle East AI in Logistics, by Technology USD Million (2015-2020)
  • Table 112. Middle East AI in Logistics, by Mode of Transportation USD Million (2015-2020)
  • Table 113. Africa AI in Logistics, by Application USD Million (2015-2020)
  • Table 114. Africa AI in Logistics, by Industry Vertical USD Million (2015-2020)
  • Table 115. Africa AI in Logistics, by Technology USD Million (2015-2020)
  • Table 116. Africa AI in Logistics, by Mode of Transportation USD Million (2015-2020)
  • Table 117. North America AI in Logistics, by Country USD Million (2015-2020)
  • Table 118. North America AI in Logistics, by Application USD Million (2015-2020)
  • Table 119. North America AI in Logistics, by Industry Vertical USD Million (2015-2020)
  • Table 120. North America AI in Logistics, by Technology USD Million (2015-2020)
  • Table 121. North America AI in Logistics, by Mode of Transportation USD Million (2015-2020)
  • Table 122. United States AI in Logistics, by Application USD Million (2015-2020)
  • Table 123. United States AI in Logistics, by Industry Vertical USD Million (2015-2020)
  • Table 124. United States AI in Logistics, by Technology USD Million (2015-2020)
  • Table 125. United States AI in Logistics, by Mode of Transportation USD Million (2015-2020)
  • Table 126. Canada AI in Logistics, by Application USD Million (2015-2020)
  • Table 127. Canada AI in Logistics, by Industry Vertical USD Million (2015-2020)
  • Table 128. Canada AI in Logistics, by Technology USD Million (2015-2020)
  • Table 129. Canada AI in Logistics, by Mode of Transportation USD Million (2015-2020)
  • Table 130. Mexico AI in Logistics, by Application USD Million (2015-2020)
  • Table 131. Mexico AI in Logistics, by Industry Vertical USD Million (2015-2020)
  • Table 132. Mexico AI in Logistics, by Technology USD Million (2015-2020)
  • Table 133. Mexico AI in Logistics, by Mode of Transportation USD Million (2015-2020)
  • Table 134. Company Basic Information, Sales Area and Its Competitors
  • Table 135. Company Basic Information, Sales Area and Its Competitors
  • Table 136. Company Basic Information, Sales Area and Its Competitors
  • Table 137. Company Basic Information, Sales Area and Its Competitors
  • Table 138. Company Basic Information, Sales Area and Its Competitors
  • Table 139. Company Basic Information, Sales Area and Its Competitors
  • Table 140. Company Basic Information, Sales Area and Its Competitors
  • Table 141. Company Basic Information, Sales Area and Its Competitors
  • Table 142. Company Basic Information, Sales Area and Its Competitors
  • Table 143. Company Basic Information, Sales Area and Its Competitors
  • Table 144. Company Basic Information, Sales Area and Its Competitors
  • Table 145. Company Basic Information, Sales Area and Its Competitors
  • Table 146. Company Basic Information, Sales Area and Its Competitors
  • Table 147. Company Basic Information, Sales Area and Its Competitors
  • Table 148. Company Basic Information, Sales Area and Its Competitors
  • Table 149. Company Basic Information, Sales Area and Its Competitors
  • Table 150. Company Basic Information, Sales Area and Its Competitors
  • Table 151. Company Basic Information, Sales Area and Its Competitors
  • Table 152. Company Basic Information, Sales Area and Its Competitors
  • Table 153. Company Basic Information, Sales Area and Its Competitors
  • Table 154. AI in Logistics: by Application(USD Million)
  • Table 155. AI in Logistics Automation of Ordering and Processing , by Region USD Million (2021-2026)
  • Table 156. AI in Logistics Planning and Forecasting , by Region USD Million (2021-2026)
  • Table 157. AI in Logistics Machine and Human Collaboration , by Region USD Million (2021-2026)
  • Table 158. AI in Logistics Self-driving Vehicles , by Region USD Million (2021-2026)
  • Table 159. AI in Logistics Self-driving Forklifts , by Region USD Million (2021-2026)
  • Table 160. AI in Logistics Others , by Region USD Million (2021-2026)
  • Table 161. AI in Logistics: by Industry Vertical(USD Million)
  • Table 162. AI in Logistics Food , by Region USD Million (2021-2026)
  • Table 163. AI in Logistics Pharma , by Region USD Million (2021-2026)
  • Table 164. AI in Logistics Retail , by Region USD Million (2021-2026)
  • Table 165. AI in Logistics Manufacturing , by Region USD Million (2021-2026)
  • Table 166. AI in Logistics Automotive , by Region USD Million (2021-2026)
  • Table 167. AI in Logistics Others , by Region USD Million (2021-2026)
  • Table 168. AI in Logistics: by Technology(USD Million)
  • Table 169. AI in Logistics Machine Learning (ML) , by Region USD Million (2021-2026)
  • Table 170. AI in Logistics Natural Language Processing (NLP) , by Region USD Million (2021-2026)
  • Table 171. AI in Logistics Context-Aware Computing , by Region USD Million (2021-2026)
  • Table 172. AI in Logistics Computer Vision , by Region USD Million (2021-2026)
  • Table 173. AI in Logistics: by Mode of Transportation(USD Million)
  • Table 174. AI in Logistics Roadways , by Region USD Million (2021-2026)
  • Table 175. AI in Logistics Railways , by Region USD Million (2021-2026)
  • Table 176. AI in Logistics Seaways , by Region USD Million (2021-2026)
  • Table 177. AI in Logistics Airways , by Region USD Million (2021-2026)
  • Table 178. South America AI in Logistics, by Country USD Million (2021-2026)
  • Table 179. South America AI in Logistics, by Application USD Million (2021-2026)
  • Table 180. South America AI in Logistics, by Industry Vertical USD Million (2021-2026)
  • Table 181. South America AI in Logistics, by Technology USD Million (2021-2026)
  • Table 182. South America AI in Logistics, by Mode of Transportation USD Million (2021-2026)
  • Table 183. Brazil AI in Logistics, by Application USD Million (2021-2026)
  • Table 184. Brazil AI in Logistics, by Industry Vertical USD Million (2021-2026)
  • Table 185. Brazil AI in Logistics, by Technology USD Million (2021-2026)
  • Table 186. Brazil AI in Logistics, by Mode of Transportation USD Million (2021-2026)
  • Table 187. Argentina AI in Logistics, by Application USD Million (2021-2026)
  • Table 188. Argentina AI in Logistics, by Industry Vertical USD Million (2021-2026)
  • Table 189. Argentina AI in Logistics, by Technology USD Million (2021-2026)
  • Table 190. Argentina AI in Logistics, by Mode of Transportation USD Million (2021-2026)
  • Table 191. Rest of South America AI in Logistics, by Application USD Million (2021-2026)
  • Table 192. Rest of South America AI in Logistics, by Industry Vertical USD Million (2021-2026)
  • Table 193. Rest of South America AI in Logistics, by Technology USD Million (2021-2026)
  • Table 194. Rest of South America AI in Logistics, by Mode of Transportation USD Million (2021-2026)
  • Table 195. Asia Pacific AI in Logistics, by Country USD Million (2021-2026)
  • Table 196. Asia Pacific AI in Logistics, by Application USD Million (2021-2026)
  • Table 197. Asia Pacific AI in Logistics, by Industry Vertical USD Million (2021-2026)
  • Table 198. Asia Pacific AI in Logistics, by Technology USD Million (2021-2026)
  • Table 199. Asia Pacific AI in Logistics, by Mode of Transportation USD Million (2021-2026)
  • Table 200. China AI in Logistics, by Application USD Million (2021-2026)
  • Table 201. China AI in Logistics, by Industry Vertical USD Million (2021-2026)
  • Table 202. China AI in Logistics, by Technology USD Million (2021-2026)
  • Table 203. China AI in Logistics, by Mode of Transportation USD Million (2021-2026)
  • Table 204. Japan AI in Logistics, by Application USD Million (2021-2026)
  • Table 205. Japan AI in Logistics, by Industry Vertical USD Million (2021-2026)
  • Table 206. Japan AI in Logistics, by Technology USD Million (2021-2026)
  • Table 207. Japan AI in Logistics, by Mode of Transportation USD Million (2021-2026)
  • Table 208. India AI in Logistics, by Application USD Million (2021-2026)
  • Table 209. India AI in Logistics, by Industry Vertical USD Million (2021-2026)
  • Table 210. India AI in Logistics, by Technology USD Million (2021-2026)
  • Table 211. India AI in Logistics, by Mode of Transportation USD Million (2021-2026)
  • Table 212. South Korea AI in Logistics, by Application USD Million (2021-2026)
  • Table 213. South Korea AI in Logistics, by Industry Vertical USD Million (2021-2026)
  • Table 214. South Korea AI in Logistics, by Technology USD Million (2021-2026)
  • Table 215. South Korea AI in Logistics, by Mode of Transportation USD Million (2021-2026)
  • Table 216. Taiwan AI in Logistics, by Application USD Million (2021-2026)
  • Table 217. Taiwan AI in Logistics, by Industry Vertical USD Million (2021-2026)
  • Table 218. Taiwan AI in Logistics, by Technology USD Million (2021-2026)
  • Table 219. Taiwan AI in Logistics, by Mode of Transportation USD Million (2021-2026)
  • Table 220. Australia AI in Logistics, by Application USD Million (2021-2026)
  • Table 221. Australia AI in Logistics, by Industry Vertical USD Million (2021-2026)
  • Table 222. Australia AI in Logistics, by Technology USD Million (2021-2026)
  • Table 223. Australia AI in Logistics, by Mode of Transportation USD Million (2021-2026)
  • Table 224. Rest of Asia-Pacific AI in Logistics, by Application USD Million (2021-2026)
  • Table 225. Rest of Asia-Pacific AI in Logistics, by Industry Vertical USD Million (2021-2026)
  • Table 226. Rest of Asia-Pacific AI in Logistics, by Technology USD Million (2021-2026)
  • Table 227. Rest of Asia-Pacific AI in Logistics, by Mode of Transportation USD Million (2021-2026)
  • Table 228. Europe AI in Logistics, by Country USD Million (2021-2026)
  • Table 229. Europe AI in Logistics, by Application USD Million (2021-2026)
  • Table 230. Europe AI in Logistics, by Industry Vertical USD Million (2021-2026)
  • Table 231. Europe AI in Logistics, by Technology USD Million (2021-2026)
  • Table 232. Europe AI in Logistics, by Mode of Transportation USD Million (2021-2026)
  • Table 233. Germany AI in Logistics, by Application USD Million (2021-2026)
  • Table 234. Germany AI in Logistics, by Industry Vertical USD Million (2021-2026)
  • Table 235. Germany AI in Logistics, by Technology USD Million (2021-2026)
  • Table 236. Germany AI in Logistics, by Mode of Transportation USD Million (2021-2026)
  • Table 237. France AI in Logistics, by Application USD Million (2021-2026)
  • Table 238. France AI in Logistics, by Industry Vertical USD Million (2021-2026)
  • Table 239. France AI in Logistics, by Technology USD Million (2021-2026)
  • Table 240. France AI in Logistics, by Mode of Transportation USD Million (2021-2026)
  • Table 241. Italy AI in Logistics, by Application USD Million (2021-2026)
  • Table 242. Italy AI in Logistics, by Industry Vertical USD Million (2021-2026)
  • Table 243. Italy AI in Logistics, by Technology USD Million (2021-2026)
  • Table 244. Italy AI in Logistics, by Mode of Transportation USD Million (2021-2026)
  • Table 245. United Kingdom AI in Logistics, by Application USD Million (2021-2026)
  • Table 246. United Kingdom AI in Logistics, by Industry Vertical USD Million (2021-2026)
  • Table 247. United Kingdom AI in Logistics, by Technology USD Million (2021-2026)
  • Table 248. United Kingdom AI in Logistics, by Mode of Transportation USD Million (2021-2026)
  • Table 249. Netherlands AI in Logistics, by Application USD Million (2021-2026)
  • Table 250. Netherlands AI in Logistics, by Industry Vertical USD Million (2021-2026)
  • Table 251. Netherlands AI in Logistics, by Technology USD Million (2021-2026)
  • Table 252. Netherlands AI in Logistics, by Mode of Transportation USD Million (2021-2026)
  • Table 253. Rest of Europe AI in Logistics, by Application USD Million (2021-2026)
  • Table 254. Rest of Europe AI in Logistics, by Industry Vertical USD Million (2021-2026)
  • Table 255. Rest of Europe AI in Logistics, by Technology USD Million (2021-2026)
  • Table 256. Rest of Europe AI in Logistics, by Mode of Transportation USD Million (2021-2026)
  • Table 257. MEA AI in Logistics, by Country USD Million (2021-2026)
  • Table 258. MEA AI in Logistics, by Application USD Million (2021-2026)
  • Table 259. MEA AI in Logistics, by Industry Vertical USD Million (2021-2026)
  • Table 260. MEA AI in Logistics, by Technology USD Million (2021-2026)
  • Table 261. MEA AI in Logistics, by Mode of Transportation USD Million (2021-2026)
  • Table 262. Middle East AI in Logistics, by Application USD Million (2021-2026)
  • Table 263. Middle East AI in Logistics, by Industry Vertical USD Million (2021-2026)
  • Table 264. Middle East AI in Logistics, by Technology USD Million (2021-2026)
  • Table 265. Middle East AI in Logistics, by Mode of Transportation USD Million (2021-2026)
  • Table 266. Africa AI in Logistics, by Application USD Million (2021-2026)
  • Table 267. Africa AI in Logistics, by Industry Vertical USD Million (2021-2026)
  • Table 268. Africa AI in Logistics, by Technology USD Million (2021-2026)
  • Table 269. Africa AI in Logistics, by Mode of Transportation USD Million (2021-2026)
  • Table 270. North America AI in Logistics, by Country USD Million (2021-2026)
  • Table 271. North America AI in Logistics, by Application USD Million (2021-2026)
  • Table 272. North America AI in Logistics, by Industry Vertical USD Million (2021-2026)
  • Table 273. North America AI in Logistics, by Technology USD Million (2021-2026)
  • Table 274. North America AI in Logistics, by Mode of Transportation USD Million (2021-2026)
  • Table 275. United States AI in Logistics, by Application USD Million (2021-2026)
  • Table 276. United States AI in Logistics, by Industry Vertical USD Million (2021-2026)
  • Table 277. United States AI in Logistics, by Technology USD Million (2021-2026)
  • Table 278. United States AI in Logistics, by Mode of Transportation USD Million (2021-2026)
  • Table 279. Canada AI in Logistics, by Application USD Million (2021-2026)
  • Table 280. Canada AI in Logistics, by Industry Vertical USD Million (2021-2026)
  • Table 281. Canada AI in Logistics, by Technology USD Million (2021-2026)
  • Table 282. Canada AI in Logistics, by Mode of Transportation USD Million (2021-2026)
  • Table 283. Mexico AI in Logistics, by Application USD Million (2021-2026)
  • Table 284. Mexico AI in Logistics, by Industry Vertical USD Million (2021-2026)
  • Table 285. Mexico AI in Logistics, by Technology USD Million (2021-2026)
  • Table 286. Mexico AI in Logistics, by Mode of Transportation USD Million (2021-2026)
  • Table 287. Research Programs/Design for This Report
  • Table 288. Key Data Information from Secondary Sources
  • Table 289. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global AI in Logistics: by Application USD Million (2015-2020)
  • Figure 5. Global AI in Logistics: by Industry Vertical USD Million (2015-2020)
  • Figure 6. Global AI in Logistics: by Technology USD Million (2015-2020)
  • Figure 7. Global AI in Logistics: by Mode of Transportation USD Million (2015-2020)
  • Figure 8. South America AI in Logistics Share (%), by Country
  • Figure 9. Asia Pacific AI in Logistics Share (%), by Country
  • Figure 10. Europe AI in Logistics Share (%), by Country
  • Figure 11. MEA AI in Logistics Share (%), by Country
  • Figure 12. North America AI in Logistics Share (%), by Country
  • Figure 13. Global AI in Logistics share by Players 2020 (%)
  • Figure 14. Global AI in Logistics share by Players (Top 3) 2020(%)
  • Figure 15. Global AI in Logistics share by Players (Top 5) 2020(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. Amazon (United States) Revenue, Net Income and Gross profit
  • Figure 18. Amazon (United States) Revenue: by Geography 2020
  • Figure 19. ClearMetal Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 20. ClearMetal Inc. (United States) Revenue: by Geography 2020
  • Figure 21. Deutsche Post AG DHL (Germany) Revenue, Net Income and Gross profit
  • Figure 22. Deutsche Post AG DHL (Germany) Revenue: by Geography 2020
  • Figure 23. FedEx (United States) Revenue, Net Income and Gross profit
  • Figure 24. FedEx (United States) Revenue: by Geography 2020
  • Figure 25. General Electric (United States) Revenue, Net Income and Gross profit
  • Figure 26. General Electric (United States) Revenue: by Geography 2020
  • Figure 27. Google LLC (United States) Revenue, Net Income and Gross profit
  • Figure 28. Google LLC (United States) Revenue: by Geography 2020
  • Figure 29. IBM Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 30. IBM Corporation (United States) Revenue: by Geography 2020
  • Figure 31. Intel Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 32. Intel Corporation (United States) Revenue: by Geography 2020
  • Figure 33. LLamasoft Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 34. LLamasoft Inc. (United States) Revenue: by Geography 2020
  • Figure 35. Micron Technology (United States) Revenue, Net Income and Gross profit
  • Figure 36. Micron Technology (United States) Revenue: by Geography 2020
  • Figure 37. Microsoft Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 38. Microsoft Corporation (United States) Revenue: by Geography 2020
  • Figure 39. NVIDIA Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 40. NVIDIA Corporation (United States) Revenue: by Geography 2020
  • Figure 41. Oracle Corporation (United States) Revenue, Net Income and Gross profit
  • Figure 42. Oracle Corporation (United States) Revenue: by Geography 2020
  • Figure 43. SAP (Germany) Revenue, Net Income and Gross profit
  • Figure 44. SAP (Germany) Revenue: by Geography 2020
  • Figure 45. Samsung (South Korea) Revenue, Net Income and Gross profit
  • Figure 46. Samsung (South Korea) Revenue: by Geography 2020
  • Figure 47. Xilinx (United States) Revenue, Net Income and Gross profit
  • Figure 48. Xilinx (United States) Revenue: by Geography 2020
  • Figure 49. Fraight AI (United States) Revenue, Net Income and Gross profit
  • Figure 50. Fraight AI (United States) Revenue: by Geography 2020
  • Figure 51. C.H. Robinson (United States) Revenue, Net Income and Gross profit
  • Figure 52. C.H. Robinson (United States) Revenue: by Geography 2020
  • Figure 53. E2open (United States) Revenue, Net Income and Gross profit
  • Figure 54. E2open (United States) Revenue: by Geography 2020
  • Figure 55. Relex Solution (Finland) Revenue, Net Income and Gross profit
  • Figure 56. Relex Solution (Finland) Revenue: by Geography 2020
  • Figure 57. Global AI in Logistics: by Application USD Million (2021-2026)
  • Figure 58. Global AI in Logistics: by Industry Vertical USD Million (2021-2026)
  • Figure 59. Global AI in Logistics: by Technology USD Million (2021-2026)
  • Figure 60. Global AI in Logistics: by Mode of Transportation USD Million (2021-2026)
  • Figure 61. South America AI in Logistics Share (%), by Country
  • Figure 62. Asia Pacific AI in Logistics Share (%), by Country
  • Figure 63. Europe AI in Logistics Share (%), by Country
  • Figure 64. MEA AI in Logistics Share (%), by Country
  • Figure 65. North America AI in Logistics Share (%), by Country
Some of the key companies/manufacturers profiled in the report
  • Amazon (United States)
  • ClearMetal Inc. (United States)
  • Deutsche Post AG DHL (Germany)
  • FedEx (United States)
  • General Electric (United States)
  • Google LLC (United States)
  • IBM Corporation (United States)
  • Intel Corporation (United States)
  • LLamasoft Inc. (United States)
  • Micron Technology (United States)
  • Microsoft Corporation (United States)
  • NVIDIA Corporation (United States)
  • Oracle Corporation (United States)
  • SAP (Germany)
  • Samsung (South Korea)
  • Xilinx (United States)
  • Fraight AI (United States)
  • C.H. Robinson (United States)
  • E2open (United States)
  • Relex Solution (Finland)
Additional players considered in the study are as follows:
Presenso (United States) , Cainiao Network (China) , Splice Machine (United States) , Logility, Inc. (United States)
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