Global Artificial Intelligence in Manufacturing Market : Latest Analysis and Growth Estimation 2022-2028

Posted On August 17, 2022     

According to Value Market Research's published market analysis, the Artificial Intelligence in Manufacturing market is foreseen to register steady growth between 2022 and 2028.The increasing volume of complex data sets is the primary factor driving revenue growth in the global artificial intelligence in the manufacturing market. Moreover, the growing venture capital investment in AI and changing consumer behaviour and demand have escalated the need for AI in manufacturing industries. Furthermore, widespread usage of machine vision cameras in manufacturing applications, such as machinery inspection, material movement, and quality control, drives the growth of artificial intelligence in the manufacturing market. Furthermore, the growing scale of manufacturing operations in emerging economies, rising acceptance of modern manufacturing techniques, rise in demand for big data integration, and increasing deployment of automation technologies are expected to offer lucrative market opportunities for the growth of AI in the manufacturing market. However, lack of skilled expertise and infrastructure and high operation along with lack of awareness are some of the factors that are about to hamper the market growth.

Artificial intelligence in the manufacturing industry is being used to enhance defect detection through sophisticated image processing algorithms that can automatically categorize defects across any industrial object it sees. Artificial intelligence in manufacturing involves using technology to automate complex tasks and unearthing previously unknown patterns in manufacturing processes or workflows. Artificial intelligence in manufacturing market plants allows the user to analyze and predict consumer behaviour, predict preventive maintenance to prevent unwanted shutdown, detect abnormalities in the production process and much more. Artificial intelligence in manufacturing offers the most value in planning and production floor operations.

The report "Global Artificial Intelligence In Manufacturing Market Report By Deployment(On-Premise And Cloud), Technology (Machine Learning, Computer Vision, Context Awareness And Natural Language Processing), Application (Material Movement, Predictive Maintenance And Machinery Inspection, Production Planning, Field Services And Quality Control & Reclamation), Industry (Semiconductor And Electronics, Energy And Power, Pharmaceuticals, Automobile, Heavy Metals And Machine Manufacturing And Others) And By Regions - Industry Trends, Size, Share, Growth, Estimation And Forecast, 2021-2028" is a compresensive set of data with market overview, executive summary and  detailed revenue analysis bifurcated by segments and regions. The study covers the historical trends along with the geo-economical conditions of the industry related to the Artificial Intelligence in Manufacturing market, thus leading to a robust and reliable report.

The following segments in the market are covered in the report :
 

  • By Deployment

    • On-Premise

    • Cloud    .
       

  • By Technology

    • Machine Learning (ML)

    • Computer Vision

    • Context Awareness

    • Natural Language Processing (NLP)
       

  • By Application

    • Material Movement

    • Predictive Maintenance And Machinery Inspection

    • Production Planning

    • Field Services

    • Quality Control & Reclamation
       

  • By Industry

    • Semiconductor And Electronics

    • Energy And Power

    • Pharmaceuticals

    • Automobile

    • Heavy Metals And Machine Manufacturing

    • Others


The report is divided into five regions: North America, Europe, Asia-Pacific, Latin America, and the Middle East and Africa.

Players Profiled In the Report:
Bosch, Cisco Systems, Inc., General Electric Company, Intel Corporation, International Business Management Corporation, Microsoft Corporation, Mitsubishi Electric Corporation, Nvidia Corporation, Oracle Corporation, Robert Bosch Gmbh, and Siemens Ag.

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