Global Artificial Intelligence in Manufacturing and Supply Chain Market Insights and Forecast to 2028

Artificial Intelligence in Manufacturing and Supply Chain Market

The global Artificial Intelligence in Manufacturing and Supply Chain market size is projected to reach US$ 7671.9 million by 2028, from US$ 826 million in 2021, at a CAGR of 36.9% during 2022-2028. Artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals. Artificial Intelligence (AI) is one of the most exciting technologies of the 21st century and has been the subject of debate across various business sectors. AI has several industrial applications where production plants can operate without human supervision. The machinery and equipment that are AI-enabled can function by acquiring human intelligence abilities. Supply chains in manufacturing are quickly adapting AI technologies as part of their digitization strategies. AI in supply chains helps in organizing and analyzing data, which helps decision making problems, ranging from logistics to warehousing. Such AI-enabled applications in the manufacturing industry are expected to improve efficiency and aid saving of time.

With industry-standard accuracy in analysis and high data integrity, the report makes a brilliant attempt to unveil key opportunities available in the global Artificial Intelligence in Manufacturing and Supply Chain market to help players in achieving a strong market position. Buyers of the report can access verified and reliable market forecasts, including those for the overall size of the global Artificial Intelligence in Manufacturing and Supply Chain market in terms of revenue.

Overall, the report proves to be an effective tool that players can use to gain a competitive edge over their competitors and ensure lasting success in the global Artificial Intelligence in Manufacturing and Supply Chain market. All of the findings, data, and information provided in the report are validated and revalidated with the help of trustworthy sources. The analysts who have authored the report took a unique and industry-best research and analysis approach for an in-depth study of the global Artificial Intelligence in Manufacturing and Supply Chain market.

Artificial Intelligence in Manufacturing and Supply Chain market is segmented by players, region (country), by Type and by Application. Players, stakeholders, and other participants in the global Artificial Intelligence in Manufacturing and Supply Chain market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application for the period 2017-2028.

Segment by Type

• On-premise
• Cloud-based

Segment by Application

• Automotive
• Aerospace
• Chemicals
• Building Construction
• Others

BY COMPANY

• IBM
• Microsoft
• Oracle
• Google
• SAS
• SAP SE
• Siemens
• Salesforce
• Cambridge Analytica
• Civis Analytics
• RapidMiner

BY REGION

• North America
• United States
• Canada
• Europe
• Germany
• France
• UK
• Italy
• Russia
• Nordic Countries
• Rest of Europe
• Asia-Pacific
• China
• Japan
• South Korea
• Southeast Asia
• India
• Australia
• Rest of Asia
• Latin America
• Mexico
• Brazil
• Rest of Latin America
• Middle East & Africa
• Turkey
• Saudi Arabia
• UAE
• Rest of MEA