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.
1. Key Opinion Leaders
2. Internal and External subject matter experts
3. Professionals and participants from the industry
2. Product/brand/marketing managers
3. CXO level executives
4. Regional/zonal/ country managers
5. Vice President level executives.
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
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.
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 include1. 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 review2. 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 publications2. 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
Chapter 2. Executive Summary
Chapter 3. Global AI in Logistics Market Overview
Chapter 5. Company Profiles and Competitive Landscape
Chapter 6. Global AI in Logistics Market by Offering
Chapter 7. Global AI in Logistics Market by Technology
Chapter 8. Global AI in Logistics Market by Application
Chapter 9. Global AI in Logistics Market by End User
Chapter 10. Global AI in Logistics Market by Region 2023-2030
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
| Report Attribute | Details |
|---|---|
| No. of Pages | 300 |
| Published | March 2023 |
| Forecast Period | 2022 - 2030 |
| Estimated Market Value ( USD | $ 260.34 Million |
| Forecasted Market Value ( USD | $ 4346.4 Million |
| Compound Annual Growth Rate | 36.3% |
| Regions Covered | Global |
| No. of Companies Mentioned | 10 |
