Product Code: RP-ID-10085495 |
Published Date: 21 Oct 2022 |
Region: NA |
Category: Automotive & Transportation |
Report ID: 10085495
Market Overview:
Artificial Intelligence in Supply Chain Industry by Offering (Software, Services, Hardware), by Application, by End-User Industry, by Technology (Machine Learning, Natural Language Processing, Context-aware Computing, Computer Vision), and By Region | Global Market Opportunity and Current Growth Analysis 2019-2025
Global Artificial Intelligence in Supply Chain Industry was valued at USD 767.8 Million in the year 2018. Global Artificial Intelligence in Supply Chain Industry is further estimated to grow at a CAGR of 45.6% from 2018 to 2025 to reach USD 10,111 Million. Growth in this industry 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 industry is the limited number of the artificial intelligence technology experts.
The size of the AI in supply chain industry has been arrived at based on segments such as offerings, technology, application, end-user industry, and region. The artificial intelligence in supply chain industry, by offering, is segmented into software, services, and hardware. Software segment is growing at a healthy rate. The adoption of AI is increasing rapidly for various applications. Continuous developments have been witnessed in AI and related software development kits. Also, AI software is capable of behaving intelligently. Creating intelligent software involves simulating a number of capabilities, which include reasoning, learning, problem-solving, perception, and knowledge representation.
Depending on the technology, artificial intelligence in supply chain can be segmented into machine learning (ML), natural language processing (NLP), and context-aware computing, and computer vision. The industry for computer vision is expected to grow at a higher rate. The growing adoption of computer vision for autonomous or semiautonomous applications in various industries, such as manufacturing and automotive, is propelling the growth of this technology in the artificial intelligence in supply chain industry.
Moreover, the industry has been segmented, on the basis of end-user industry, into automotive, aerospace, manufacturing, retail, healthcare, consumer-packaged goods, food & beverages, and others. Among all end-user industries, the industry for consumer-packaged goods is expected to grow at the highest CAGR during the forecast period. The adoption of AI in consumer goods is increasing as it has ability to collect data, interact with customers, capture images, and more many of these changes are creating a permanent impact on customers’ expectations.
On the basis of region, the artificial intelligence in supply chain industry has been segmented into North America, Europe, Asia Pacific (APAC), and the Rest of the World (RoW). The artificial intelligence in supply chain industry in APAC is expected to grow at the highest CAGR during the forecast period. industry 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.
Artificial Intelligence in Supply Chain Industry, By Region 2025 (USD Million)
Major market players in Artificial Intelligence in Supply Chain Industry are NVIDIA, IBM, Intel, Xilinx, Samsung Electronics, Micron Technology, Microsoft, Amazon, SAP, Oracle, Logility, LLamasoft, Inc., ClearMetal, Splice Machine, Cainiao Network (Alibaba), FedEx, Deutsche Post AG DHL,and Other Company Profiles will be provided as per client business requirement.
Artificial Intelligence in Supply Chain Industry Segmentation:
Artificial Intelligence in Supply Chain Industry, by Offering
ï¬Hardware
ï¬Software
ï¬Services
Artificial Intelligence in Supply Chain Industry, by Technology
ï¬Machine Learning
ï¬Natural Language Processing
ï¬Context-aware Computing
ï¬Computer Vision
Artificial Intelligence in Supply Chain Industry, by Application
ï¬Fleet Management
ï¬Supply Chain Planning
ï¬Warehouse Management
ï¬Virtual Assistant
ï¬Risk Management
ï¬Freight Brokerage
ï¬Others
Artificial Intelligence in Supply Chain Industry, by End-user Industry
ï¬Automotive
ï¬Aerospace
ï¬Manufacturing
ï¬Retail
ï¬Healthcare
ï¬Consumer-packaged Goods
ï¬Food and Beverages
ï¬Others
Artificial Intelligence in Supply Chain Industry Overview, by Region
North America
ï¬USA
ï¬Canada
Europe
ï¬Germany
ï¬U.K.
ï¬France
ï¬Italy
ï¬Rest of Europe
APAC
ï¬China
ï¬India
ï¬Japan
ï¬Rest of Asia-Pacific
RoW
ï¬Latin America
ï¬Middle East & Africa
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