AI in Supply Chain & Logistics Market Demand, Share, Size, Industry Trends, Growth Status and Forecast 2031

Global AI in Supply Chain & Logistics Market to reach USD 10157.17 Million by 2025. Global AI in Supply Chain & Logistics Market valued approximately USD 502.9 Million in 2017 is anticipated to grow with a healthy growth rate of more than 45.60 % over the forecast period 2018-2025. Growth in this market is mainly driven by factors such as growing big data, demand for greater visibility and transparency into supply chain data and processes, and adoption of AI for improving consumer services and satisfaction.

The major restraint for the market is the limited number of the artificial intelligence technology experts. But the limited number of artificial intelligence technology experts is expected to restrict adoption, which in turn may limit market growth to a certain extent. And The artificial intelligence in supply chain market for software offerings is expected to hold a larger share. The continuous developments have been witnessed in AI software and related software development kits

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According to data from the U.S. Bureau of Economic Analysis and the U.S. Census Bureau, the goods and services deficit increased by $1.9 billion from $68.7 billion in January 2023 to $70.5 billion in February. The increase in the goods and services deficit in February was due to a $2.7 billion increase in the goods deficit to $93.0 billion and a $0.8 billion increase in the services surplus to $22.4 billion. Compared to the same period in 2022, the goods and services deficit has dropped this year by $35.5 billion, or 20.3%. $49.5 billion or 10.8% more was exported. 2.2% or $14.0 billion more was spent on imports.

The regional analysis of Global AI in Supply Chain & Logistics Market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. The artificial intelligence in supply chain market in APAC is expected to grow at the highest CAGR during the forecast period. Market growth can be attributed to increasing adoption of deep learning and NLP technologies for automotive, retail, and manufacturing applications in APAC. Moreover, the presence of major players in the artificial intelligence in supply chain ecosystem results in the increasing adoption of artificial intelligence in APAC.

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

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By Component:

> Hardware
> Software
> Services

By Technology:

> Machine Learning
> NLP
> Context Aware Computing
> Computer Vision

By Regions:

> North America
o U.S.
o Canada
> Europe
o UK
o Germany
> Asia Pacific
o China
o India
o Japan
> Latin America
o Brazil
o Mexico
> Rest of the World

Which elements of this study are relevant to market analysis?

  • The research offers a thorough analysis of market trends, along with details on regional usage and consumption.
  • The growth rates of each area, including their respective nations, are included in market reports for the upcoming years.
  • How are the major market players rated?
  • A thorough study of the market’s top rivals is provided in this report.
  • The study contains details about the major market vendors.
  • Each company’s profile, revenue sources, and items produced are all covered in detail in the study.
  • Along with the opinions of the top market participants, the study includes data and information about rival companies.

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