Global Artificial intelligence in Supply Chain Management Market to 2027

Global Artificial intelligence in Supply Chain Management Market Size, Trends & Growth Opportunity, By Component (Hardware, Software, and Services), By Technology (Machine Learning, Computer Vision, and Natural Language Processing), By End User (Manufacturing, Food & Beverages, Healthcare, Automotive, Aerospace, Retail, and Consumer-Packaged Goods), By Region and Forecast till 2027

Global Artificial intelligence in Supply Chain Management Market

The supply chain management plays an important role in the current age of high supply needs that lead to increasing the degree of competition and demand uncertainly. The Artificial intelligence is defined as the design of computer systems which can imitate human behavioral patterns by understanding the phenomenon of human intelligence. AI in supply chain management offers to track & maintain database of suppliers & shipping.

Market Drivers

The increase in adoption of artificial intelligence in supply chain management is expected to boost the global artificial intelligence in supply chain management market growth over the forecast period. Furthermore, the growing demand for better transparency and visibility in supply chain data and processes will positively influence the market growth. Also, the increase in adoption of big data is another driving factor which is expected to propel the global artificial intelligence in supply chain management market growth during this forecast timeframe. Moreover, the growing demand for accuracy and safety in warehouses would support the growth of AI in supply chain management market. In addition, the rising demand for using AI technology in data collection & automated systems is anticipated to provide opportunity for market growth.

Market Restraint

Lack of awareness about developments in the AI technology may hamper the global artificial intelligence in supply chain market growth during this forecast timeline.

Market Segmentation

The Global Artificial intelligence in Supply Chain Management Market is segmented into component such as Hardware, Software, and Services, by technology such as Machine Learning, Computer Vision, and Natural Language Processing. Further, market is segmented into end user such as Manufacturing, Food & Beverages, Healthcare, Automotive, Aerospace, Retail, and Consumer-Packaged Goods.

Also, the Global Artificial intelligence in Supply Chain Management Market is segmented into five regions such as North America, Latin America, Europe, Asia Pacific, and Middle East & Africa.

Market Key Players

Various key players are discussed in this report such as 3M, Cisco Systems, IBM, Intel, Xilinx, Samsung Electronics, Microsoft, SAP, Oracle, LLamasoft, Inc., etc.

Market Taxonomy

By Component

• Hardware
• Software
• Services

By Technology

• Machine Learning
• Computer Vision
• Natural Language Processing

By End User

• Manufacturing
• Food & Beverages
• Healthcare
• Automotive
• Aerospace
• Retail
• Consumer-Packaged Goods

By Region

• North America
• Latin America
• Europe
• Asia Pacific
• Middle East & Africa

Key Questions Addressed by the Report

• What are the Key Opportunities in Global Artificial intelligence in Supply Chain Management Market?
• What will be the growth rate from 2019 to 2027?
• Which segment/region will have highest growth?
• What are the factors that will impact/drive the Market?
• What is the competitive Landscape in the Industry?
• What is the role of key players in the value chain?
• What are the strategies adopted by key players?