The artificial intelligence in supply chain market is expected to reach USD 10,110.2 million by 2025 from USD 730.6 million in 2018, at a CAGR of 45.55% during the forecast period. 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.

In this report, the size of the artificial intelligence in supply chain market has been arrived at based on segments such as offerings, technology, application, end-user industry, and region. The market, by offering, is segmented into hardware, software, and services. The software segment is growing at a significant 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 market 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 market.

Moreover, the market 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 market 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 market has been segmented into North America, Europe, Asia Pacific (APAC), and the Rest of the World (RoW). The 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.

However, the limited number of industry experts for artificial intelligence in supply chain is a major restraint for the market. Key players in this market focus on organic strategies, such as product launches, to expand their business and related offerings.  Some of the players are Intel (US), NVIDIA (US), Xilinx (US), Samsung Electronics (South Korea), Micron Technology (US), IBM (US), Microsoft (US), and Amazon (US).

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