AI in Logistics Market (Offering - Software, and Services; Technology - Machine Learning, Natural Language Processing (NLP), Computer Vision, and Others; Application - Asset Tracking and Management, Logistics and Supply Chain Management, Fleet Management, Warehouse Management, and Others; End User - Automotive, Retail, Healthcare, Manufacturing, Chemical, and Others): Global Industry Analysis, Trends, Size, Share and Forecasts to 2030

A recent report published by Infinium Global Research on AI in logistics market provides in-depth analysis of segments and sub-segments in the global as well as regional AI in logistics market. The study also highlights the impact of drivers, restraints, and macro indicators on the global and regional AI in logistics market over the short term as well as long term. The report is a comprehensive presentation of trends, forecast and dollar values of global AI in logistics market.

Market Insight:

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.

With the development of technologies, the logistics industry has gone through several transformations over the past few years. The advancements in technologies such as automation, robotics, and connected devices have changed the way the logistics sector operates. AI is one of the prominent technologies that is being deployed across machinery and management systems. By using AI in the industry, logistics activities become more efficient and streamlined. Logistics providers use AI to automate their business functions and offer a better experience to their clients. Moreover, features offered by AI such as speech recognition, machine learning, planning, and problem-solving capabilities help logistic companies to reduce errors, and improve operational efficiencies. The market players in the AI in the logistics market are offering innovative solutions to the customers, enabling logistics companies to make accurate predictions and improve their performance.

The growing digitalization in the logistics industry is driving the growth of AI in logistics. The digitalization of logistics leads to the generation of a large amount of digital data. With the help of AI, logistics providers can use the data to improve their operations. Moreover, AI in logistics allows predictive analysis, error reduction, scalability, and speed. These advantages of AI in logistics are further augmenting the market growth. Furthermore, growth in the global manufacturing industry is driving the demand for AI in logistics. The adoption of AI in logistics results in an improvement in overall productivity in the manufacturing sector. However, The high installation and maintenance cost limits the adoption of AI in logistics restraining the growth of the market. Furthermore, the development of connected logistics owing to the rising adoption of advanced technologies such as 5G and IoT are expected to offer growth opportunities to the market.

North America accounted for the largest share in AI in the logistics market, in terms of region. The dominance of the U.S. in the field of AI is majorly attributed to the growth of AI in the logistics market in North America. High investment in AI by the government and private firms is supporting the market growth in North America. Moreover, Asia-Pacific is expected to grow at the fastest rate in the global AI in the logistics market. Asia-Pacific region is the largest manufacturer of consumer products in the world. Countries such as Thailand, South Korea, Taiwan, China, and others have a large number of manufacturing facilities. Thus, 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 Asia Pacific.

Report Scope of the AI in Logistics Market:

Segment wise revenue contribution in the global AI in logistics market

The report on global AI in logistics market provides a detailed analysis of segments in the market based on Offering, Technology, Application, and End User.

Segmentation Based on Offering

·       Software

·       Services

Segmentation Based on Technology

·       Machine Learning

·       Natural Language Processing (NLP)

·       Computer Vision

·       Others

Segmentation Based on Application

·       Asset Tracking and Management

·       Logistics and Supply Chain Management

·       Fleet Management

·       Warehouse Management

·       Others

Segmentation Based on End User

·       Automotive

·       Retail

·       Healthcare

·       Manufacturing

·       Chemical

·       Others

Company Profiled:

·       Yojee

·       IBM Corporation

·       Intel Corporation

·       Amazon Web Services, Inc.

·       Microsoft Corporation

·       Oracle Corporation

·       NVIDIA Corporation

·       Transportation Applied Intelligence, LLC

·       Pluto7

·       GEODIS

Report Highlights:

The report provides deep insights into demand forecasts, market trends, and micro and macro indicators. In addition, this report provides insights into the factors that are driving and restraining the growth in this market. Moreover, The IGR-Growth Matrix analysis given in the report brings an insight into the investment areas that existing or new market players can consider. The report provides insights into the market using analytical tools such as Porter's five forces analysis and DRO analysis of the AI in logistics market. Moreover, the study highlights current market trends and provides forecasts from 2023-2030. We also have highlighted future trends in the market that will affect the demand during the forecast period. Moreover, the competitive analysis given in each regional market brings an insight into the market share of the leading players.