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AI in Logistics Market: Global Industry Analysis, Trends, Market Size, and Forecasts up to 2030

  • Report

  • 300 Pages
  • March 2023
  • Region: Global
  • Infinium Global Research
  • ID: 5511391
The report on the global AI in logistics market provides qualitative and quantitative analysis for the period from 2021-2030. The global AI in logistics market was valued at USD 260.34 million in 2022 and is expected to reach USD 4346.4 million in 2030, with a CAGR of 36.32% during the forecast period 2023-2030. The study on AI in logistics market covers the analysis of the leading geographies such as North America, Europe, Asia Pacific, and RoW for the period of 2021-2030.

The logistics industry has undergone significant transformations due to technological advancements. Technologies like automation, robotics, and connected devices have fundamentally changed the way logistics functions. Notably, Artificial Intelligence (AI) has emerged as a key technology deployed in machinery and management systems within the industry. Its integration has led to increased efficiency and streamlining of logistics operations. AI is employed by logistics providers to automate various aspects of their business, ultimately enhancing the client experience. Additionally, the growing trend of digitalization in the logistics sector is a major driver of AI's expansion in the logistics market. As logistics becomes more digital, it generates vast amounts of digital data, which AI can harness to optimize operations. Furthermore, AI in logistics enables predictive analysis, reduces errors, offers scalability, and accelerates processes. These advantages contribute significantly to the growth of the AI in logistics market. Moreover, the global manufacturing industry's growth is fueling the demand for AI in logistics. The adoption of AI in logistics leads to improved overall productivity within the manufacturing sector, making it a vital component of modern supply chain management.

Artificial Intelligence (AI) has made substantial advancements in transforming the logistics and supply chain management sector. It has introduced a variety of technologies and tools that enhance operational efficiency, cut costs, and streamline complex logistics and supply chain processes. Specifically, AI-powered route planning and optimization solutions take into account multiple factors, including traffic conditions, weather, delivery schedules, and vehicle capacity, to identify the most efficient delivery routes. This results in cost savings and faster delivery times. AI in logistics and supply chain management plays a vital role in reducing costs, optimizing processes, and enhancing customer satisfaction. As AI technology continues to develop, applications in the logistics and supply chain sector become more sophisticated.

North America accounted for the largest share in the AI in the logistics market, in terms of region. The dominance of the US in the field of AI is majorly attributed to the growth of AI in the logistics market in the North America region. High investment in AI by the government and private firms is supporting the market growth in North America. Moreover, North America region includes countries such as the US, and Canada has a large number of manufacturing facilities. Due to this, the demand for logistics is high in this region, as the manufacturing sector is a major end-user of logistics. The logistics suppliers use AI to match the growing demand from the manufacturing sector, in turn, augmenting the growth of AI in logistics in the North America region.

Report Findings

1) Drivers

  • The increasing trend towards digitalization within the logistics sector is propelling market growth.
  • The expansion of manufacturing sector across the globe driving the growth of the market.

2) Restraints

  • The high installation and maintenance cost limits the adoption of AI in logistics further restraining the growth of the market.

3) Opportunities

  • Advancements in cutting-edge technologies represent promising opportunities for the integration of ai within the logistics market.

Research Methodology

A) Primary Research

The primary research involves extensive interviews and analysis of the opinions provided by the primary respondents. The primary research starts with identifying and approaching the primary respondents, the primary respondents include
1. Key Opinion Leaders
2. Internal and External subject matter experts
3. Professionals and participants from the industry

The primary research respondents typically include

1. Executives working with leading companies in the market under review
2. Product/brand/marketing managers
3. CXO level executives
4. Regional/zonal/ country managers
5. Vice President level executives.

B) Secondary Research

Secondary research involves extensive exploring through the secondary sources of information available in both the public domain and paid sources. Each research study is based on over 500 hours of secondary research accompanied by primary research. The information obtained through the secondary sources is validated through the crosscheck on various data sources.

The secondary sources of the data typically include

1. Company reports and publications
2. Government/institutional publications
3. Trade and associations journals
4. Databases such as WTO, OECD, World Bank, and among others.
5. Websites and publications by research agencies

Segment Covered

The global AI in logistics market is segmented on the basis of offering, technology, application, and end user.

The Global AI in Logistics Market by Offering

  • Software
  • Services

The Global AI in Logistics Market by Technology

  • Machine Learning
  • Natural Language Processing (NLP)
  • Computer Vision
  • Others

The Global AI in Logistics Market by Application

  • Asset Tracking and Management
  • Logistics and Supply Chain Management
  • Fleet Management
  • Warehouse Management
  • Others

The Global AI in Logistics Market by End User

  • Automotive
  • Retail
  • Healthcare
  • Manufacturing
  • Chemical
  • Others

Company Profiles

The companies covered in the report include
  • Yojee
  • IBM Corporation
  • Intel Corporation
  • Amazon Web Services, Inc.
  • Microsoft Corporation
  • Oracle Corporation
  • NVIDIA Corporation
  • Transportation Applied Intelligence, LLC
  • Pluto7
  • GEODIS

What does this Report Deliver?

1. Comprehensive analysis of the global as well as regional markets of the AI in logistics market.
2. Complete coverage of all the segments in the AI in logistics market to analyze the trends, developments in the global market and forecast of market size up to 2030.
3. Comprehensive analysis of the companies operating in the global AI in logistics market. The company profile includes analysis of product portfolio, revenue, SWOT analysis and latest developments of the company.
4. Growth Matrix presents an analysis of the product segments and geographies that market players should focus to invest, consolidate, expand and/or diversify.

This product will be delivered within 1-3 business days.

Table of Contents

Chapter 1. Preface
1.1. Report Description
1.2. Research Methods
1.3. Research Approaches
Chapter 2. Executive Summary
2.1. AI in Logistics Market Highlights
2.2. AI in Logistics Market Projection
2.3. AI in Logistics Market Regional Highlights
Chapter 3. Global AI in Logistics Market Overview
3.1. Introduction
3.2. Market Dynamics
3.2.1. Drivers
3.2.2. Restraints
3.2.3. Opportunities
3.3. Porter's Five Forces Analysis
3.4. Growth Matrix Analysis
3.4.1. Growth Matrix Analysis by Offering
3.4.2. Growth Matrix Analysis by Technology
3.4.3. Growth Matrix Analysis by Application
3.4.4. Growth Matrix Analysis by End User
3.4.5. Growth Matrix Analysis by Region
3.5. Value Chain Analysis of AI in Logistics Market
Chapter 4. AI in Logistics Market Macro Indicator Analysis
Chapter 5. Company Profiles and Competitive Landscape
5.1. Competitive Landscape in the Global AI in Logistics Market
5.2. Companies Profiles
5.2.1. Yojee
5.2.2. IBM Corporation
5.2.3. Intel Corporation
5.2.4. Amazon Web Services, Inc.
5.2.5. Microsoft Corporation
5.2.6. Oracle Corporation
5.2.7. NVIDIA Corporation
5.2.8. Transportation Applied Intelligence, LLC
5.2.9. Pluto7
5.2.10. GEODIS
Chapter 6. Global AI in Logistics Market by Offering
6.1. Software
6.2. Services
Chapter 7. Global AI in Logistics Market by Technology
7.1. Machine Learning
7.2. Natural Language Processing (NLP)
7.3. Computer Vision
7.4. Others
Chapter 8. Global AI in Logistics Market by Application
8.1. Asset Tracking and Management
8.2. Logistics and Supply Chain Management
8.3. Fleet Management
8.4. Warehouse Management
8.5. Others
Chapter 9. Global AI in Logistics Market by End User
9.1. Automotive
9.2. Retail
9.3. Healthcare
9.4. Manufacturing
9.5. Chemical
9.6. Others
Chapter 10. Global AI in Logistics Market by Region 2023-2030
10.1. North America
10.1.1. North America AI in Logistics Market by Offering
10.1.2. North America AI in Logistics Market by Technology
10.1.3. North America AI in Logistics Market by Application
10.1.4. North America AI in Logistics Market by End User
10.1.5. North America AI in Logistics Market by Country
10.1.5.1. The U.S. AI In Logistics Market
10.1.5.1.1. The U.S. AI in Logistics Market by Offering
10.1.5.1.2. The U.S. AI in Logistics Market by Technology
10.1.5.1.3. The U.S. AI in Logistics Market by Application
10.1.5.1.4. The U.S. AI in Logistics Market by End User
10.1.5.2. Canada AI In Logistics Market
10.1.5.2.1. Canada AI in Logistics Market by Offering
10.1.5.2.2. Canada AI in Logistics Market by Technology
10.1.5.2.3. Canada AI in Logistics Market by Application
10.1.5.2.4. Canada AI in Logistics Market by End User
10.1.5.3. Mexico AI In Logistics Market
10.1.5.3.1. Mexico AI in Logistics Market by Offering
10.1.5.3.2. Mexico AI in Logistics Market by Technology
10.1.5.3.3. Mexico AI in Logistics Market by Application
10.1.5.3.4. Mexico AI in Logistics Market by End User
10.2. Europe
10.2.1. Europe AI in Logistics Market by Offering
10.2.2. Europe AI in Logistics Market by Technology
10.2.3. Europe AI in Logistics Market by Application
10.2.4. Europe AI in Logistics Market by End User
10.2.5. Europe AI in Logistics Market by Country
10.2.5.1. Germany AI In Logistics Market
10.2.5.1.1. Germany AI in Logistics Market by Offering
10.2.5.1.2. Germany AI in Logistics Market by Technology
10.2.5.1.3. Germany AI in Logistics Market by Application
10.2.5.1.4. Germany AI in Logistics Market by End User
10.2.5.2. United Kingdom AI in Logistics Market
10.2.5.2.1. United Kingdom AI in Logistics Market by Offering
10.2.5.2.2. United Kingdom AI in Logistics Market by Technology
10.2.5.2.3. United Kingdom AI in Logistics Market by Application
10.2.5.2.4. United Kingdom AI in Logistics Market by End User
10.2.5.3. France AI in Logistics Market
10.2.5.3.1. France AI in Logistics Market by Offering
10.2.5.3.2. France AI in Logistics Market by Technology
10.2.5.3.3. France AI in Logistics Market by Application
10.2.5.3.4. France AI in Logistics Market by End User
10.2.5.4. Italy AI in Logistics Market
10.2.5.4.1. Italy AI in Logistics Market by Offering
10.2.5.4.2. Italy AI in Logistics Market by Technology
10.2.5.4.3. Italy AI in Logistics Market by Application
10.2.5.4.4. Italy AI in Logistics Market by End User
10.2.5.5. Rest of Europe AI in Logistics Market
10.2.5.5.1. Rest of Europe AI in Logistics Market by Offering
10.2.5.5.2. Rest of Europe AI in Logistics Market by Technology
10.2.5.5.3. Rest of Europe AI in Logistics Market by Application
10.2.5.5.4. Rest of Europe AI in Logistics Market by End User
10.3. Asia Pacific
10.3.1. Asia Pacific AI in Logistics Market by Offering
10.3.2. Asia Pacific AI in Logistics Market by Technology
10.3.3. Asia Pacific AI in Logistics Market by Application
10.3.4. Asia Pacific AI in Logistics Market by End User
10.3.5. Asia Pacific AI in Logistics Market by Country
10.3.5.1. China AI in Logistics Market
10.3.5.1.1. China AI in Logistics Market by Offering
10.3.5.1.2. China AI in Logistics Market by Technology
10.3.5.1.3. China AI in Logistics Market by Application
10.3.5.1.4. China AI in Logistics Market by End User
10.3.5.2. Japan AI in Logistics Market
10.3.5.2.1. Japan AI in Logistics Market by Offering
10.3.5.2.2. Japan AI in Logistics Market by Technology
10.3.5.2.3. Japan AI in Logistics Market by Application
10.3.5.2.4. Japan AI in Logistics Market by End User
10.3.5.3. India AI in Logistics Market
10.3.5.3.1. India AI in Logistics Market by Offering
10.3.5.3.2. India AI in Logistics Market by Technology
10.3.5.3.3. India AI in Logistics Market by Application
10.3.5.3.4. India AI in Logistics Market by End User
10.3.5.4. South Korea AI in Logistics Market
10.3.5.4.1. South Korea AI in Logistics Market by Offering
10.3.5.4.2. South Korea AI in Logistics Market by Technology
10.3.5.4.3. South Korea AI in Logistics Market by Application
10.3.5.4.4. South Korea AI in Logistics Market by End User
10.3.5.5. Australia AI in Logistics Market
10.3.5.5.1. Australia AI in Logistics Market by Offering
10.3.5.5.2. Australia AI in Logistics Market by Technology
10.3.5.5.3. Australia AI in Logistics Market by Application
10.3.5.5.4. Australia AI in Logistics Market by End User
10.3.5.6. Rest of Asia-Pacific AI in Logistics Market
10.3.5.6.1. Rest of Asia-Pacific AI in Logistics Market by Offering
10.3.5.6.2. Rest of Asia-Pacific AI in Logistics Market by Technology
10.3.5.6.3. Rest of Asia-Pacific AI in Logistics Market by Application
10.3.5.6.4. Rest of Asia-Pacific AI in Logistics Market by End User
10.4. RoW
10.4.1. RoW AI in Logistics Market by Offering
10.4.2. RoW AI in Logistics Market by Technology
10.4.3. RoW AI in Logistics Market by Application
10.4.4. RoW AI in Logistics Market by End User
10.4.5. RoW AI in Logistics Market by Sub-region
10.4.5.1. Latin America AI in Logistics Market
10.4.5.1.1. Latin America AI in Logistics Market by Offering
10.4.5.1.2. Latin America AI in Logistics Market by Technology
10.4.5.1.3. Latin America AI in Logistics Market by Application
10.4.5.1.4. Latin America AI in Logistics Market by End User
10.4.5.2. Middle East AI in Logistics Market
10.4.5.2.1. Middle East AI in Logistics Market by Offering
10.4.5.2.2. Middle East AI in Logistics Market by Technology
10.4.5.2.3. Middle East AI in Logistics Market by Application
10.4.5.2.4. Middle East AI in Logistics Market by End User
10.4.5.3. Africa AI in Logistics Market
10.4.5.3.1. Africa AI in Logistics Market by Offering
10.4.5.3.2. Africa AI in Logistics Market by Technology
10.4.5.3.3. Africa AI in Logistics Market by Application
10.4.5.3.4. Africa AI in Logistics Market by End User

Companies Mentioned

  • Yojee
  • IBM Corporation
  • Intel Corporation
  • Amazon Web Services, Inc.
  • Microsoft Corporation
  • Oracle Corporation
  • NVIDIA Corporation
  • Transportation Applied Intelligence, LLC
  • Pluto7
  • GEODIS

Table Information