查看購物車
  • Simplified Chinese
  • English
  • Japanese
  • Korean
封面
市場調查報告書
商品編碼
1584554

物流AI市場評估:提供區分·用途·產業·各地區的機會及預測 (2017-2031年)

AI in Logistics Market Assessment, By Offering, By Application, By Industry Vertical By Region, Opportunities and Forecast, 2017-2031F
出版日期: | 出版商: Market Xcel - Markets and Data | 英文 240 Pages | 商品交期: 3-5個工作天內

價格

全球物流人工智慧市場規模預計將從 2023 年的 120.2 億美元增長到 2031 年的 774.3 億美元，預測期內的複合年增長率為 26.22%。

由於對效率、降低成本和改善客戶服務的需求不斷增加，市場正在成長。該公司正在利用機器學習、預測分析和自動化等人工智慧技術來優化供應鏈營運、更有效地管理庫存並改善路線規劃。這些進步透過減少延遲和降低營運成本實現了即時決策。人工智慧工具使需求預測變得更容易，使企業能夠預測市場需求並調整其策略。物聯網設備與人工智慧的結合將提高整個供應鏈的可見性，改善運輸和資產追蹤。隨著電子商務的不斷擴張，物流行業擴大人工智慧解決方案來管理複雜的配送網路並滿足客戶對更快服務的期望。人工智慧的投資也受到永續需求的驅動，因為優化物流可以減少碳排放。整體而言，人工智慧在物流領域的應用將推動創新和競爭力，同時專注於快速發展的市場環境。

本報告提供全球物流AI的市場調查，彙整市場定義和概要，市場規模的轉變·預測，各種區分·地區/各主要國家的詳細分析，產業結構，影響市場成長因素的分析，案例研究，競爭情形，主要企業簡介等資訊。

目錄

第1章 計劃的範圍和定義

第2章 調查手法

第3章 摘要整理

第4章 客戶的迴響

  • 產品與市場的資訊
  • 品牌認識的方式
  • 決定是否購買時考慮的要素
  • 隱私與法規相關考察

第5章 全球物流AI市場展望

  • 市場規模的分析·預測
  • 市場佔有率的分析·預測
    • 各提供種類
    • 各用途
    • 各產業
    • 各地區
    • 企業佔有率分析
  • 市場地圖分析

第6章 北美的物流AI市場展望

  • 市場規模的分析·預測
  • 市場佔有率的分析·預測
  • 各國市場評估
    • 美國
    • 加拿大
    • 墨西哥

第7章 歐洲的物流AI市場展望

  • 德國
  • 法國
  • 義大利
  • 英國
  • 俄羅斯
  • 荷蘭
  • 西班牙
  • 土耳其
  • 波蘭

第8章 亞太地區的物流AI市場展望

  • 印度
  • 中國
  • 日本
  • 澳洲
  • 越南
  • 韓國
  • 印尼
  • 菲律賓

第9章 南美的物流AI市場展望

  • 巴西
  • 阿根廷

第10章 中東·非洲的物流AI市場展望

  • 沙烏地阿拉伯
  • UAE
  • 南非

第11章 供需分析

第12章 價值鏈分析

第13章 波特的五力分析

第14章 大環境分析

第15章 市場動態

  • 推動市場要素
  • 市場課題

第16章 市場趨勢·展開

第17章 案例研究

第18章 競爭情形

  • 前五名市場領導公司的競爭矩陣
  • 前五名公司的SWOT分析
  • 前十大主要企業的形勢
    • FourKites, Inc.
    • Flexport, Inc.
    • NVIDIA Corporation
    • Vorto.
    • Google LLC
    • Logiwa, Inc.
    • Coupa.
    • Epicor Software Corporation
    • Amazon Web Services, Inc.
    • Tredence.Inc.

第19章 策略性建議

第20章 關於本公司·免責聲明

Product Code: MX12184

Global AI in logistics market is projected to witness a CAGR of 26.22% during the forecast period 2024-2031, growing from USD 12.02 billion in 2023 to USD 77.43 billion in 2031. The market is experiencing growth due to the increasing demand for efficiency, cost reduction, and improved customer service. Companies are leveraging AI technologies such as machine learning, predictive analytics, and automation to optimize supply chain operations, efficient inventory management, and improve route planning. These advancements enable real-time decision-making by reducing delays and minimizing operational costs. AI-powered tools facilitate demand forecasting, allowing businesses to anticipate market needs and adjust their strategies. Integrating AI with Internet of Things devices increases visibility across the supply chain and improves shipment and asset tracking. As e-commerce continues to expand, the logistics sector is increasingly adopting AI solutions to manage complex delivery networks and meet customer expectations for faster service. Investing in AI is promoted due to the need for sustainability because optimized logistics can reduce carbon dioxide emissions. As a whole, the recruitment of AI in logistics promotes innovation and competitiveness while focusing on the rapidly evolving market environment.

In June 2023, a Norwegian drone logistics company, Avant Global Limited, launched a home delivery service called Kyte, which operates within a 30 km radius to transport groceries, ready meals, and light medicines via its application. Aviant has demonstrated its capabilities by previously drawing USD 1.1 million in funding from Innovation Norway. The company aims to deliver prescription medicines to remote areas by leveraging drones to overcome mobility issues caused by bad roads and severe weather. This innovative approach enhances access to vital supplies and sets a precedent in the logistics market by proving that drone delivery can effectively operate over larger distances without traditional limitations, marking a significant advancement in AI-driven logistics solutions for last-mile delivery.

Technology and Automation to Drive Market Growth

Technology and automation are revolutionizing AI in the logistics market, dramatically increasing efficiency, accuracy, and scalability. Advanced AI algorithms analyze massive amounts of data to optimize supply chain processes, allowing companies to forecast demand, manage inventory, and optimize delivery routes in real-time. Automation technologies such as robotics and autonomous vehicles reduce human error and operational costs while accelerating warehouse operations and last-mile deliveries. IoT devices provide continuous monitoring of shipments, improving transparency and enabling proactive responses to disruptions. Machine learning models further improve logistics strategies by learning from historical data to aid in risk management and operational forecasting. The convergence of these technologies enables logistics companies to improve customer experience, reduce delivery times, and minimize environmental impact, contributing to overall industry growth. This synergistic effect of artificial intelligence, automation, and data analytics contributes to innovation and development by positioning them in a competitive environment.

In January 2024, Accenture and Mujin, Inc. launched a joint venture, Accenture Alpha Automation, to enhance the manufacturing and logistics sectors through AI and robotics. This collaboration combines Mujin's expertise in intelligent robotics with Accenture's digital engineering capabilities, enabling companies to integrate operational and management data for improved decision-making and hyper-automation. By simplifying the deployment of robotic systems, the venture addresses the complexities typically associated with industrial automation. This initiative not only enhances productivity and efficiency but also supports the growth of AI in the logistics market by fostering a data-driven approach, essential for navigating the challenges of an aging workforce and evolving market demands.

Cost Reduction to Fuel the AI in Logistics Market Growth

The reduction in costs associated with AI technologies significantly boosts growth in the logistics market by enhancing operational efficiency and decision-making. Lower implementation costs enable companies, even smaller ones, to adopt AI solutions such as predictive analytics and automated inventory management. This leads to optimized routes, reduced delivery times, and improved resource allocation, ultimately driving profitability. Cost-effective AI tools foster innovation, allowing logistics firms to experiment with new models and technologies. As a result, the logistics sector becomes more agile and responsive to market demands, contributing to a more dynamic and competitive environment.

In September 2023, FourKites, Inc. launched Fin AI, a groundbreaking generative AI solution designed to enhance supply chain visibility and decision-making. Utilizing the largest supply chain data network, Fin AI offers a natural language interface that helps companies quickly assess disruptions, diagnose shipment issues, and automate time-consuming tasks. By enabling proactive decision-making and eliminating data silos, Fin AI empowers logistics professionals to focus on high-value tasks, driving efficiency and optimization in areas such as transportation and inventory management. This innovation is poised to significantly advance AI integration in the logistics market, enabling companies to leverage vast amounts of data for smarter, faster decision-making, and ultimately fostering growth in the industry.

Retail Segment to Dominate the AI in Logistics Market Share

The retail sector dominates the logistics market for AI due to the high demand for effective supply chain management and improved customer experience. With the rise of e-commerce and increasing consumer expectations for fast and accurate delivery, retailers are using AI to optimize inventory, forecast demand, and automate order fulfillment. AI solutions such as robotics, predictive analytics, and autonomous delivery systems streamline operations and reduce costs. Retailers can benefit from AI-enhanced last-mile delivery and personalized customer service, which are essential to staying competitive in a rapidly evolving marketplace. This growing reliance on AI is driving the retail sector's leadership in the logistics industry's transformation.

In March 2023, Alibaba Cloud launched its AI-driven logistics solution, EasyDispatch, in Malaysia to enhance the local logistics industry by improving supply chain management and reducing costs. The solution features real-time service dispatch, advanced vehicle route planning, and high-accuracy address processing, leveraging reinforcement learning and machine learning. Collaborating with local companies Global Track and EasyParcel, Alibaba Cloud aims to elevate operational efficiency and scalability, helping businesses reduce processing times and workforce requirements significantly. This initiative is set to drive digital transformation in the logistics sector, fostering growth in the AI market by enabling smarter, data-driven decision-making and enhancing overall service delivery.

North America to Dominate AI in Logistics Market

North America is dominating the AI in logistics market due to its robust technological infrastructure, significant investment in research and development, and a concentration of leading tech companies. The region benefits from a highly skilled workforce and extensive data availability, facilitating the implementation of AI solutions for supply chain optimization, predictive analytics, and autonomous vehicles. The presence of major logistics firms and e-commerce giants drives demand for innovative AI applications, enhancing efficiency and reducing costs. Collaborative partnerships between technology providers and logistics companies further accelerate AI adoption, positioning North America as a leader in this transformative sector.

In May 2024, AB Volvo Autonomous Solutions recently unveiled Volvo VNL Autonomous, a fully redundant autonomous truck developed in partnership with Aurora Innovation, Inc., designed to enhance freight capacity and address industry challenges such as driver shortages. This truck integrates advanced safety features and cutting-edge autonomous driving technology, making it a significant step forward in logistics. Increasing efficiency and reliability in transport helps logistics companies scale operations and facilitates adopting AI-driven solutions across the industry, ultimately improving the supply chain and allowing human drivers to focus on tasks better aligned with work-life balance.

Future Market Scenario (2024 - 2031F)

AI enables more efficient supply chain management by forecasting demand, optimizing routes, and managing inventory levels in real time, reducing costs and improving service levels.

The rise of autonomous vehicles and AI-enabled drones will revolutionize last-mile delivery, increasing speed and reducing labor costs while improving customer satisfaction through faster service.

AI provides vehicle maintenance and equipment predictive analysis and identifies problems before leading to dysfunction, minimizing downtime and reducing dysfunction.

AI can contribute to more individual logistics solutions, provide individual distribution options, and improve monitoring and communication abilities to improve customer participation.

Key Players Landscape and Outlook

Companies in the global AI in logistics market are focused on improving efficiency and profitability through automation, predictive analytics, and real-time decision-making. They use AI to optimize routes, forecast demand, and automate warehouses, reduce delays, and improve supply chain visibility. The integration of AI-based robotics for material handling, packaging, and sorting is on the rise. Companies are investing in AI-based fleet management to monitor vehicle performance and reduce fuel consumption. By constantly improving machine learning algorithms and implementing IoT for real-time tracking, AI companies are addressing the growing need for fast, flexible, and sustainable logistics solutions.

In April 2024, The Coca-Cola Company and Microsoft announced a USD 1.1 billion five-year strategic partnership to leverage Microsoft's cloud and generative artificial intelligence technologies. The alliance is designed to strengthen Coca-Cola's technology strategy and focus on innovation and productivity across its global operations. This partnership investigates marketing, manufacturing, and supply chain AI applications to rationalize operations and improve customer experience using tools such as Azure OpenAI Service and Microsoft 365. This initiative enables the more effective management of supply chains, predictive analysis, and automation, greatly enhancing the logistics market, ultimately reducing costs and improving the response to market demands.

Table of Contents

1. Project Scope and Definitions

2. Research Methodology

3. Executive Summary

4. Voice of Customer

  • 4.1. Product and Market Intelligence
  • 4.2. Mode of Brand Awareness
  • 4.3. Factors Considered in Purchase Decisions
    • 4.3.1. Features and Other Value-Added Service
    • 4.3.2. Efficiency and Speed
    • 4.3.3. Cost Reduction
    • 4.3.4. Flexibility and Scalability
  • 4.4. Consideration of Privacy and Regulations

5. Global AI in Logistics Market Outlook, 2017-2031F

  • 5.1. Market Size Analysis & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share Analysis & Forecast
    • 5.2.1. By Offering
      • 5.2.1.1. Hardware
      • 5.2.1.2. Software
      • 5.2.1.3. Services
    • 5.2.2. By Application
      • 5.2.2.1. Inventory Control and Planning
      • 5.2.2.2. Transport Network Design
      • 5.2.2.3. Purchasing and Supply Management
      • 5.2.2.4. Demand Planning and Forecasting
      • 5.2.2.5. Others
    • 5.2.3. By Industry Vertical
      • 5.2.3.1. Automotive
      • 5.2.3.2. Food and Beverages
      • 5.2.3.3. Manufacturing
      • 5.2.3.4. Healthcare
      • 5.2.3.5. Retail
      • 5.2.3.6. Others
    • 5.2.4. By Region
      • 5.2.4.1. North America
      • 5.2.4.2. Europe
      • 5.2.4.3. Asia-Pacific
      • 5.2.4.4. South America
      • 5.2.4.5. Middle East and Africa
    • 5.2.5. By Company Market Share Analysis (Top 5 Companies and Others - By Value, 2023)
  • 5.3. Market Map Analysis, 2023
    • 5.3.1. By Offering
    • 5.3.2. By Application
    • 5.3.3. By Industry Vertical
    • 5.3.4. By Region

6. North America AI in Logistics Market Outlook, 2017-2031F*

  • 6.1. Market Size Analysis & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share Analysis & Forecast
    • 6.2.1. By Offering
      • 6.2.1.1. Hardware
      • 6.2.1.2. Software
      • 6.2.1.3. Services
    • 6.2.2. By Application
      • 6.2.2.1. Inventory Control and Planning
      • 6.2.2.2. Transport Network Design
      • 6.2.2.3. Purchasing and Supply Management
      • 6.2.2.4. Demand Planning and Forecasting
      • 6.2.2.5. Others
    • 6.2.3. By Industry Vertical
      • 6.2.3.1. Automotive
      • 6.2.3.2. Food and Beverages
      • 6.2.3.3. Manufacturing
      • 6.2.3.4. Healthcare
      • 6.2.3.5. Retail
      • 6.2.3.6. Others
    • 6.2.4. By Country Share
      • 6.2.4.1. United States
      • 6.2.4.2. Canada
      • 6.2.4.3. Mexico
  • 6.3. Country Market Assessment
    • 6.3.1. United States AI In Logistics Market Outlook, 2017-2031F*
      • 6.3.1.1. Market Size Analysis & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share Analysis & Forecast
        • 6.3.1.2.1. By Offering
          • 6.3.1.2.1.1. Hardware
          • 6.3.1.2.1.2. Software
          • 6.3.1.2.1.3. Services
        • 6.3.1.2.2. By Application
          • 6.3.1.2.2.1. Inventory Control and Planning
          • 6.3.1.2.2.2. Transport Network Design
          • 6.3.1.2.2.3. Purchasing and Supply Management
          • 6.3.1.2.2.4. Demand Planning and Forecasting
          • 6.3.1.2.2.5. Others
        • 6.3.1.2.3. By Industry Vertical
          • 6.3.1.2.3.1. Automotive
          • 6.3.1.2.3.2. Food and Beverages
          • 6.3.1.2.3.3. Manufacturing
          • 6.3.1.2.3.4. Healthcare
          • 6.3.1.2.3.5. Retail
          • 6.3.1.2.3.6. Others
    • 6.3.2. Canada
    • 6.3.3. Mexico

All segments will be provided for all regions and countries covered

7. Europe AI in Logistics Market Outlook, 2017-2031F

  • 7.1. Germany
  • 7.2. France
  • 7.3. Italy
  • 7.4. United Kingdom
  • 7.5. Russia
  • 7.6. Netherlands
  • 7.7. Spain
  • 7.8. Turkey
  • 7.9. Poland

8. Asia-Pacific AI in Logistics Market Outlook, 2017-2031F

  • 8.1. India
  • 8.2. China
  • 8.3. Japan
  • 8.4. Australia
  • 8.5. Vietnam
  • 8.6. South Korea
  • 8.7. Indonesia
  • 8.8. Philippines

9. South America AI in Logistics Market Outlook, 2017-2031F

  • 9.1. Brazil
  • 9.2. Argentina

10. Middle East and Africa AI in Logistics Market Outlook, 2017-2031F

  • 10.1. Saudi Arabia
  • 10.2. UAE
  • 10.3. South Africa

11. Demand Supply Analysis

12. Value Chain Analysis

13. Porter's Five Forces Analysis

14. PESTLE Analysis

15. Market Dynamics

  • 15.1. Market Drivers
  • 15.2. Market Challenges

16. Market Trends and Developments

17. Case Studies

18. Competitive Landscape

  • 18.1. Competition Matrix of Top 5 Market Leaders
  • 18.2. SWOT Analysis for Top 5 Players
  • 18.3. Key Players Landscape for Top 10 Market Players
    • 18.3.1. FourKites, Inc.
      • 18.3.1.1. Company Details
      • 18.3.1.2. Key Management Personnel
      • 18.3.1.3. Products and Services
      • 18.3.1.4. Financials (As Reported)
      • 18.3.1.5. Key Market Focus and Geographical Presence
      • 18.3.1.6. Recent Developments/Collaborations/Partnerships/Mergers and Acquisition
    • 18.3.2. Flexport, Inc.
    • 18.3.3. NVIDIA Corporation
    • 18.3.4. Vorto.
    • 18.3.5. Google LLC
    • 18.3.6. Logiwa, Inc.
    • 18.3.7. Coupa.
    • 18.3.8. Epicor Software Corporation
    • 18.3.9. Amazon Web Services, Inc.
    • 18.3.10. Tredence.Inc.

Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.

19. Strategic Recommendations

20. About Us and Disclaimer

List of Tables

  • Table 1. Pricing Analysis of Products from Key Players
  • Table 2. Competition Matrix of Top 5 Market Leaders
  • Table 3. Mergers & Acquisitions/ Joint Ventures (If Applicable)
  • Table 4. About Us - Regions and Countries Where We Have Executed Client Projects

List of Figures

  • Figure 1. Global AI in Logistics Market, By Value, In USD Billion, 2017-2031F
  • Figure 2. Global AI in Logistics Market Share (%), By Offering, 2017-2031F
  • Figure 3. Global AI in Logistics Market Share (%), By Application, 2017-2031F
  • Figure 4. Global AI in Logistics Market Share (%), By Industry Vertical, 2017-2031F
  • Figure 5. Global AI in Logistics Market Share (%), By Region, 2017-2031F
  • Figure 6. North America AI in Logistics Market, By Value, In USD Billion, 2017-2031F
  • Figure 7. North America AI in Logistics Market Share (%), By Offering, 2017-2031F
  • Figure 8. North America AI in Logistics Market Share (%), By Application, 2017-2031F
  • Figure 9. North America AI in Logistics Market Share (%), By Industry Vertical, 2017-2031F
  • Figure 10. North America AI in Logistics Market Share (%), By Country, 2017-2031F
  • Figure 11. United States AI in Logistics Market, By Value, In USD Billion, 2017-2031F
  • Figure 12. United States AI in Logistics Market Share (%), By Offering, 2017-2031F
  • Figure 13. United States AI in Logistics Market Share (%), By Application, 2017-2031F
  • Figure 14. United States AI in Logistics Market Share (%), By Industry Vertical, 2017-2031F
  • Figure 15. Canada AI in Logistics Market, By Value, In USD Billion, 2017-2031F
  • Figure 16. Canada AI in Logistics Market Share (%), By Offering, 2017-2031F
  • Figure 17. Canada AI in Logistics Market Share (%), By Application, 2017-2031F
  • Figure 18. Canada AI in Logistics Market Share (%), By Industry Vertical, 2017-2031F
  • Figure 19. Mexico AI in Logistics Market, By Value, In USD Billion, 2017-2031F
  • Figure 20. Mexico AI in Logistics Market Share (%), By Offering, 2017-2031F
  • Figure 21. Mexico AI in Logistics Market Share (%), By Application, 2017-2031F
  • Figure 22. Mexico AI in Logistics Market Share (%), By Industry Vertical, 2017-2031F
  • Figure 23. Europe AI in Logistics Market, By Value, In USD Billion, 2017-2031F
  • Figure 24. Europe AI in Logistics Market Share (%), By Offering, 2017-2031F
  • Figure 25. Europe AI in Logistics Market Share (%), By Application, 2017-2031F
  • Figure 26. Europe AI in Logistics Market Share (%), By Industry Vertical, 2017-2031F
  • Figure 27. Europe AI in Logistics Market Share (%), By Country, 2017-2031F
  • Figure 28. Germany AI in Logistics Market, By Value, In USD Billion, 2017-2031F
  • Figure 29. Germany AI in Logistics Market Share (%), By Offering, 2017-2031F
  • Figure 30. Germany AI in Logistics Market Share (%), By Application, 2017-2031F
  • Figure 31. Germany AI in Logistics Market Share (%), By Industry Vertical, 2017-2031F
  • Figure 32. France AI in Logistics Market, By Value, In USD Billion, 2017-2031F
  • Figure 33. France AI in Logistics Market Share (%), By Offering, 2017-2031F
  • Figure 34. France AI in Logistics Market Share (%), By Application, 2017-2031F
  • Figure 35. France AI in Logistics Market Share (%), By Industry Vertical, 2017-2031F
  • Figure 36. Italy AI in Logistics Market, By Value, In USD Billion, 2017-2031F
  • Figure 37. Italy AI in Logistics Market Share (%), By Offering, 2017-2031F
  • Figure 38. Italy AI in Logistics Market Share (%), By Application, 2017-2031F
  • Figure 39. Italy AI in Logistics Market Share (%), By Industry Vertical, 2017-2031F
  • Figure 40. United Kingdom AI in Logistics Market, By Value, In USD Billion, 2017-2031F
  • Figure 41. United Kingdom AI in Logistics Market Share (%), By Offering, 2017-2031F
  • Figure 42. United Kingdom AI in Logistics Market Share (%), By Application, 2017-2031F
  • Figure 43. United Kingdom AI in Logistics Market Share (%), By Industry Vertical, 2017-2031F
  • Figure 44. Russia AI in Logistics Market, By Value, In USD Billion, 2017-2031F
  • Figure 45. Russia AI in Logistics Market Share (%), By Offering, 2017-2031F
  • Figure 46. Russia AI in Logistics Market Share (%), By Application, 2017-2031F
  • Figure 47. Russia AI in Logistics Market Share (%), By Industry Vertical, 2017-2031F
  • Figure 48. Netherlands AI in Logistics Market, By Value, In USD Billion, 2017-2031F
  • Figure 49. Netherlands AI in Logistics Market Share (%), By Offering, 2017-2031F
  • Figure 50. Netherlands AI in Logistics Market Share (%), By Application, 2017-2031F
  • Figure 51. Netherlands AI in Logistics Market Share (%), By Industry Vertical, 2017-2031F
  • Figure 52. Spain AI in Logistics Market, By Value, In USD Billion, 2017-2031F
  • Figure 53. Spain AI in Logistics Market Share (%), By Offering, 2017-2031F
  • Figure 54. Spain AI in Logistics Market Share (%), By Application, 2017-2031F
  • Figure 55. Spain AI in Logistics Market Share (%), By Industry Vertical, 2017-2031F
  • Figure 56. Turkey AI in Logistics Market, By Value, In USD Billion, 2017-2031F
  • Figure 57. Turkey AI in Logistics Market Share (%), By Offering, 2017-2031F
  • Figure 58. Turkey AI in Logistics Market Share (%), By Application, 2017-2031F
  • Figure 59. Turkey AI in Logistics Market Share (%), By Industry Vertical, 2017-2031F
  • Figure 60. Poland AI in Logistics Market, By Value, In USD Billion, 2017-2031F
  • Figure 61. Poland AI in Logistics Market Share (%), By Offering, 2017-2031F
  • Figure 62. Poland AI in Logistics Market Share (%), By Application, 2017-2031F
  • Figure 63. Poland AI in Logistics Market Share (%), By Industry Vertical, 2017-2031F
  • Figure 64. South America AI in Logistics Market, By Value, In USD Billion, 2017-2031F
  • Figure 65. South America AI in Logistics Market Share (%), By Offering, 2017-2031F
  • Figure 66. South America AI in Logistics Market Share (%), By Application, 2017-2031F
  • Figure 67. South America AI in Logistics Market Share (%), By Industry Vertical, 2017-2031F
  • Figure 68. South America AI in Logistics Market Share (%), By Country, 2017-2031F
  • Figure 69. Brazil AI in Logistics Market, By Value, In USD Billion, 2017-2031F
  • Figure 70. Brazil AI in Logistics Market Share (%), By Offering, 2017-2031F
  • Figure 71. Brazil AI in Logistics Market Share (%), By Application, 2017-2031F
  • Figure 72. Brazil AI in Logistics Market Share (%), By Industry Vertical, 2017-2031F
  • Figure 73. Argentina AI in Logistics Market, By Value, In USD Billion, 2017-2031F
  • Figure 74. Argentina AI in Logistics Market Share (%), By Offering, 2017-2031F
  • Figure 75. Argentina AI in Logistics Market Share (%), By Application, 2017-2031F
  • Figure 76. Argentina AI in Logistics Market Share (%), By Industry Vertical, 2017-2031F
  • Figure 77. Asia-Pacific AI in Logistics Market, By Value, In USD Billion, 2017-2031F
  • Figure 78. Asia-Pacific AI in Logistics Market Share (%), By Offering, 2017-2031F
  • Figure 79. Asia-Pacific AI in Logistics Market Share (%), By Application, 2017-2031F
  • Figure 80. Asia-Pacific AI in Logistics Market Share (%), By Industry Vertical, 2017-2031F
  • Figure 81. Asia-Pacific AI in Logistics Market Share (%), By Country, 2017-2031F
  • Figure 82. India AI in Logistics Market, By Value, In USD Billion, 2017-2031F
  • Figure 83. India AI in Logistics Market Share (%), By Offering, 2017-2031F
  • Figure 84. India AI in Logistics Market Share (%), By Application, 2017-2031F
  • Figure 85. India AI in Logistics Market Share (%), By Industry Vertical, 2017-2031F
  • Figure 86. China AI in Logistics Market, By Value, In USD Billion, 2017-2031F
  • Figure 87. China AI in Logistics Market Share (%), By Offering, 2017-2031F
  • Figure 88. China AI in Logistics Market Share (%), By Application, 2017-2031F
  • Figure 89. China AI in Logistics Market Share (%), By Industry Vertical, 2017-2031F
  • Figure 90. Japan AI in Logistics Market, By Value, In USD Billion, 2017-2031F
  • Figure 91. Japan AI in Logistics Market Share (%), By Offering, 2017-2031F
  • Figure 92. Japan AI in Logistics Market Share (%), By Application, 2017-2031F
  • Figure 93. Japan AI in Logistics Market Share (%), By Industry Vertical, 2017-2031F
  • Figure 94. Australia AI in Logistics Market, By Value, In USD Billion, 2017-2031F
  • Figure 95. Australia AI in Logistics Market Share (%), By Offering, 2017-2031F
  • Figure 96. Australia AI in Logistics Market Share (%), By Application, 2017-2031F
  • Figure 97. Australia AI in Logistics Market Share (%), By Industry Vertical, 2017-2031F
  • Figure 98. Vietnam AI in Logistics Market, By Value, In USD Billion, 2017-2031F
  • Figure 99. Vietnam AI in Logistics Market Share (%), By Offering, 2017-2031F
  • Figure 100. Vietnam AI in Logistics Market Share (%), By Application, 2017-2031F
  • Figure 101. Vietnam AI in Logistics Market Share (%), By Industry Vertical, 2017-2031F
  • Figure 102. South Korea AI in Logistics Market, By Value, In USD Billion, 2017-2031F
  • Figure 103. South Korea AI in Logistics Market Share (%), By Offering, 2017-2031F
  • Figure 104. South Korea AI in Logistics Market Share (%), By Application, 2017-2031F
  • Figure 105. South Korea AI in Logistics Market Share (%), By Industry Vertical, 2017-2031F
  • Figure 106. Indonesia AI in Logistics Market, By Value, In USD Billion, 2017-2031F
  • Figure 107. Indonesia AI in Logistics Market Share (%), By Offering, 2017-2031F
  • Figure 108. Indonesia AI in Logistics Market Share (%), By Application, 2017-2031F
  • Figure 109. Indonesia AI in Logistics Market Share (%), By Industry Vertical, 2017-2031F
  • Figure 110. Philippines AI in Logistics Market, By Value, In USD Billion, 2017-2031F
  • Figure 111. Philippines AI in Logistics Market Share (%), By Offering, 2017-2031F
  • Figure 112. Philippines AI in Logistics Market Share (%), By Application, 2017-2031F
  • Figure 113. Philippines AI in Logistics Market Share (%), By Industry Vertical, 2017-2031F
  • Figure 114. Middle East & Africa AI in Logistics Market, By Value, In USD Billion, 2017-2031F
  • Figure 115. Middle East & Africa AI in Logistics Market Share (%), By Offering, 2017-2031F
  • Figure 116. Middle East & Africa AI in Logistics Market Share (%), By Application, 2017-2031F
  • Figure 117. Middle East & Africa AI in Logistics Market Share (%), By Industry Vertical, 2017-2031F
  • Figure 118. Middle East & Africa AI in Logistics Market Share (%), By Country, 2017-2031F
  • Figure 119. Saudi Arabia AI in Logistics Market, By Value, In USD Billion, 2017-2031F
  • Figure 120. Saudi Arabia AI in Logistics Market Share (%), By Offering, 2017-2031F
  • Figure 121. Saudi Arabia AI in Logistics Market Share (%), By Application, 2017-2031F
  • Figure 122. Saudi Arabia AI in Logistics Market Share (%), By Industry Vertical, 2017-2031F
  • Figure 123. UAE AI in Logistics Market, By Value, In USD Billion, 2017-2031F
  • Figure 124. UAE AI in Logistics Market Share (%), By Offering, 2017-2031F
  • Figure 125. UAE AI in Logistics Market Share (%), By Application, 2017-2031F
  • Figure 126. UAE AI in Logistics Market Share (%), By Industry Vertical, 2017-2031F
  • Figure 127. South Africa AI in Logistics Market, By Value, In USD Billion, 2017-2031F
  • Figure 128. South Africa AI in Logistics Market Share (%), By Offering, 2017-2031F
  • Figure 129. South Africa AI in Logistics Market Share (%), By Application, 2017-2031F
  • Figure 130. South Africa AI in Logistics Market Share (%), By Industry Vertical, 2017-2031F
  • Figure 131. By Offering Map-Market Size (USD Billion) & Growth Rate (%), 2023
  • Figure 132. By Application Map-Market Size (USD Billion) & Growth Rate (%), 2023
  • Figure 133. By Industry Vertical Map-Market Size (USD Billion) & Growth Rate (%), 2023
  • Figure 134. By Region Map-Market Size (USD Billion) & Growth Rate (%), 2023