According to the research, the market for Artificial Intelligence in Supply Chain is anticipated to touch USD 10,110.2 million by 2025, with a staggering CAGR of 45.55 percent that is up from USD 730.6 billion in 2018. The growth of the market is largely driven by rising demand of Big Data, greater visibility and transparency into supply chain data and processes, and the adoption of AI for advancing consumer services and satisfaction by the companies also responsible for the market growth of AI in Supply Chain.
As the reports noted, the size of AI in Supply chain market has divided on the basis of such segments, including offerings, technology, application, end-user industry, and region. Based on offerings, the market is segmented into hardware, software, and services, where the software segment is continuously growing at a significant rate. The market, relying on the technology, can be classified into Machine learning, NLP (Natural Learning Processing), and context-aware computing, and computer vision. For market growth, computer vision is predicted to rise at a higher growth rate throughout the forecast period. The adoption of computer vision in the area of manufacturing and automotive is driving the growth of this technology in the artificial intelligence in supply chain market. Based on the end-user industry, the market has been segmented into automotive, manufacturing, aerospace, healthcare, retail, consumer-packaged goods, food & beverages, and others. Amongst all end-user industries, the market for consumer-packaged goods is expected to grow.
Apart from driving factors, the report also highlighted the major restraint for the market that is the limited number of industry experts in AI technology. Moreover, the report featured key players of the AI in the Supply Chain market, including Intel, IBM, Micron Technology, Xilinx, Amazon, Samsung Electronics, and NVIDIA.