The global artificial intelligence in manufacturing market contributed $513.6 million in 2017, and is projected to reach $15,273.7 million in 2025, growing at a CAGR of 55.2%.
Artificial intelligence is a technology that deals with the study and enhancement of intelligent machines and software. This technology is used in industry verticals, such as manufacturing, supply chain, and others. Development of artificial intelligence-empowered chips, robots, and others in manufacturing help enhance the overall production line, and thus, has significantly increased the adoption of artificial intelligence in the manufacturing sector.
Inquire For Sample: https://reports.valuates.com/request/sample/ALLI-Auto-4N278/_Artificial_Intelligence_in_Manufacturing_Market
Factors such as mass production, operational proficiency, and enhanced productivity achieved by implementing artificial intelligence in the manufacturing industry and its processes are estimated to propel the demand for artificial intelligence in manufacturing, globally. Moreover, the improvement of more powerful and reasonable cloud computing infrastructures is devising a robust effect on the growth potential of AI, which is further expected to drive the market growth. However, shortage of skilled and trained workforce is one of the major challenges faced by the players operating in the industry. On the contrary, the rise in technological innovations and development of smarter robots by companies are anticipated to offer lucrative opportunities for the players in the industry.
The global artificial intelligence in the manufacturing market is segmented based on deployment, technology, application, industry, and region. Based on deployment, the market is bifurcated into cloud and on premise. The On-Premise segment is anticipated to dominate the global market throughout the study period. By technology, the market is divided into machine learning, computer vision, context awareness, and natural language processing. The computer vision segment is anticipated to dominate the global market throughout the study period. Based on application, the market is categorized into material movement, predictive maintenance & machinery inspection, production planning, field services, and quality control & reclamation. The predictive maintenance & machinery inspection segment is projected to dominate the global market in the near future. Based on industry, the market is classified into semiconductor & electronics, energy & power, pharmaceutical, automobile, heavy metal & machine manufacturing, and others. The automobile segment is projected to dominate the global market in the near future.
The global artificial intelligence in manufacturing market is analyzed across four geographical regions, which include North America (U.S., Canada, and Mexico), Europe (Germany, France, the UK, Russia, and Rest of Europe), Asia-Pacific (China, Japan, India, Australia, and rest of Asia-Pacific), and LAMEA (Latin America, Middle East, and Africa). North America is expected to dominate the market throughout the forecast period. The key players profiled in this report are Bosch, Cisco Systems, Inc., General Electric Company, IBM Corporation, Intel Corporation, Microsoft Corporation, Mitsubishi Electric Corporation, NVIDIA Corporation, Oracle Corporation, and Siemens AG.
View Full Report: https://reports.valuates.com/market-reports/ALLI-Auto-4N278/-artificial-intelligence-in-manufacturing
KEY BENEFITS FOR STAKEHOLDERS
The study provides an in-depth analysis of the global artificial intelligence in the manufacturing market, and current & future trends to elucidate the imminent investment pockets.
Information about the key drivers, restraints, and opportunities and their impact on the market is provided.
Porter’s Five Forces analysis illustrates the potency of buyers and suppliers operating in the industry.
The quantitative analysis of the global market from 2017 to 2025 is provided to determine the market potential.
KEY MARKET SEGMENT
By Deployment
On-Premise
Cloud
By Technology
Machine Learning
Computer Vision
Context Awareness
Natural Language Processing
By Application
Material Movement
Predictive Maintenance & Machinery Inspection
Production Planning
Field Service
Quality Control & Reclamation
By Industry
Semiconductor & Electronics
Energy & Power
Pharmaceuticals
Automobile
Heavy Metal & Machine Manufacturing
Others
By Region
North America
U.S.
Canada
Mexico
Europe
Germany
France
UK
Russia
Rest of Europe
Asia-Pacific
China
India
Japan
Australia
Rest of Asia-Pacific
LAMEA
Latin America
Middle East
Africa
KEY MARKET PLAYERS PROFILED IN THE REPORT
Bosch
Cisco Systems, Inc.
General Electric Company
IBM Corporation
Intel Corporation
Microsoft Corporation
Mitsubishi Electric Corporation
NVIDIA Corporation
Oracle Corporation
Siemens AG
Inquire for Regional Report: https://reports.valuates.com/request/regional/ALLI-Auto-4N278/_Artificial_Intelligence_in_Manufacturing_Market
CONTACT US:
Valuates Reports
sales@valuates.com
For U.S. Toll-Free Call: 1-(315)-215-3225
For IST Call: +91-8040957137
WhatsApp : +91-9945648335
Website: https://reports.valuates.com
Twitter – https://twitter.com/valuatesreports
Linkedin – https://in.linkedin.com/company/valuatesreports
Facebook – https://www.facebook.com/valuatesreports
ABOUT US:
Valuates offers in-depth market insights into various industries. Our extensive report repository is constantly updated to meet your changing industry analysis needs.
Our team of market analysts can help you select the best report covering your industry. We understand your niche region-specific requirements and that’s why we offer customization of reports. With our customization in place, you can request for any particular information from a report that meets your market analysis needs.
To achieve a consistent view of the market, data is gathered from various primary and secondary sources, at each step, data triangulation methodologies are applied to reduce deviance and find a consistent view of the market. Each sample we share contains detail research methodology employed to generate the report, Please also reach to our sales team to get the complete list of our data sources
This release was published on openPR.
