Artificial intelligence (AI) is becoming increasingly popular in the logistics industry, offering a range of benefits such as improving efficiency, reducing costs, and enhancing customer service. AI is being used across various areas of logistics, from transport planning and warehouse management to last-mile delivery and supply chain optimization. The global AI in logistics market is likely to register a CAGR of over 41.21% with an incremental growth of USD 71.4 billion during the forecast period 2023-2029.

The report covers market size and growth, segmentation, regional breakdowns, competitive landscape, trends and strategies for global AI in logistics market. It presents a quantitative analysis of the market to enable stakeholders to capitalize on the prevailing market opportunities. The report also identifies top segments for opportunities and strategies based on market trends and leading competitors’ approaches.

This industry report offers market estimates and forecasts of the global market, followed by a detailed analysis of the technology, application, end user, and region. The global market for AI in logistics can be segmented by technology: computer vision, context awareness computing, machine learning, warehouse management. Globally, the machine learning segment made up the largest share of the AI in logistics market. AI in logistics market is further segmented by application: self-driving vehicles and forklifts, planning and forecasting, machine and human collaboration, automation of ordering and processing, others. The self-driving vehicles and forklifts segment captured the largest share of the market in 2022. Based on end user, the AI in logistics market is segmented into: automotive, food and beverages, healthcare, industrial, retail, others. According to the research, the retail segment had the largest share in the global AI in logistics market. On the basis of region, the AI in logistics market also can be divided into: North America, Europe, Asia-Pacific, MEA (Middle East and Africa), Latin America. North America held the largest revenue share in 2022.

Market Segmentation
By technology: computer vision, context awareness computing, machine learning, warehouse management
By application: self-driving vehicles and forklifts, planning and forecasting, machine and human collaboration, automation of ordering and processing, others
By end user: automotive, food and beverages, healthcare, industrial, retail, others
By region: North America, Europe, Asia-Pacific, MEA (Middle East and Africa), Latin America

The report also provides a detailed analysis of several leading AI in logistics market vendors that include Alphabet Inc., Amazon.com, Inc., IBM Corporation, Intel Corporation, Microsoft Corporation, NVIDIA Corporation, Oracle Corporation, Yojee Limited, among others. In this report, key players and their strategies are thoroughly analyzed to understand the competitive outlook of the market.
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Scope of the Report
• To analyze and forecast the market size of the global AI in logistics market.
• To classify and forecast the global AI in logistics market based on technology, application, end user, region.
• To identify drivers and challenges for the global AI in logistics market.
• To examine competitive developments such as mergers & acquisitions, agreements, collaborations and partnerships, etc., in the global AI in logistics market.
• To identify and analyze the profile of leading players operating in the global AI in logistics market.

Why Choose This Report
• Gain a reliable outlook of the global AI in logistics market forecasts from 2023 to 2029 across scenarios.
• Identify growth segments for investment.
• Stay ahead of competitors through company profiles and market data.
• The market estimate for ease of analysis across scenarios in Excel format.
• Strategy consulting and research support for three months.
• Print authentication provided for the single-user license.