Report Description

Artificial Intelligence technologies helps manufacturers to bring the tools to them in a better predictive maintenance and machinery inspection process. However, manufacturers are less interested to adopt AI-based solutions in their costly equipment. Any mismanagement could add to the costs. Many manufacturers show their doubt about the capabilities of AI-based solutions in maintenance and inspection process. After knowing these factors, it is slightly difficult to convince the manufacturers and make them understand that AI-based solutions are safe, cost-effective, and efficient. But recently, manufacturers are accepting the AI-based solutions’ potential benefits.

The artificial intelligence in manufacturing market size is projected to reach US$ 32.2 billion by 2028, from US$ 1.1 billion in 2020, at a CAGR of 52.51% during 2021-2028.

In terms of production, this report talks the artificial intelligence in manufacturing capacity, value, ex-factory price, growth rate, market share by manufacturers, regions (or countries) and by Type.

In terms of consumption, this report focuses on the consumption of artificial intelligence in manufacturing market by regions (countries) and by Application.

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The global artificial intelligence in manufacturing market is thoroughly, accurately, and comprehensively assessed in the report with a large focus on market dynamics, market competition, regional growth, segmental analysis, and key growth strategies. Buyers of the report will have access to verified market figures, including global market size in terms of revenue and volume. As part of production analysis, the authors of the report have provided reliable estimations and calculations for global revenue and volume by Type segment of the artificial intelligence in manufacturing market. These figures have been provided in terms of both revenue and volume for the period 2016-2028. Additionally, the report provides accurate figures for production by region in terms of revenue as well as volume for the same period. The report also includes production capacity statistics for the same period.

Geographic Segmentation

The report offers exhaustive assessment of different region-wise artificial intelligence in manufacturing market such as North America, Europe, Asia Pacific, Middle east, Africa, Latin America. Key countries covered in the report are U.S., Canada, Germany, France, U.K., Italy, Russia, China, Japan, South Korea, India, Australia, Taiwan, Indonesia, Thailand, Malaysia, Philippines, Vietnam, Mexico, Brazil, Turkey, Saudi Arabia, U.A.E

For the period 2016-2028, the report provides country-wise revenue and volume sales analysis and region-wise revenue and volume analysis of the artificial intelligence in manufacturing market. For the period 2020-2028, it provides sales (consumption) analysis and forecast of different regional markets by each application as well as type segment in terms of volume.


The report includes comprehensive company profiling of leading and emerging companies competing in the global artificial intelligence in manufacturing market. It provides a detailed list of players operating at a global level. The players have been listed according to the type of products they offer in the global artificial intelligence in manufacturing market and other factors. As part of the company profiling, the analysts authoring the report has provided the market entry year of each player considered for the research study. The report also offers extensive price, volume sales, and revenue analysis by the manufacturer at the global level for the period 2016-2028.

By Type and Application Segments

The report includes a detailed analysis of leading companies and type and application segments of the global artificial intelligence in manufacturing market. All the segments covered in the report are broadly analyzed based on some deciding factors like various growth drivers and opportunities in the market. The segmental analysis section of the report offers revenue sales analysis and forecast of the global artificial intelligence in manufacturing market by each type segment for the period 2016-2028. It also offers volume sales (consumption) analysis and forecast of the artificial intelligence in manufacturing market by each type segment for the same period. Also, it provides volume sales (consumption) analysis and forecast of the global artificial intelligence in manufacturing market by each application segment for the same period.

Based on Offering:

  • Hardware
  • Processor
  • Memory
  • Network
  • Software
  • AI Solutions
  • AI Platform
  • Services
  • Deployment & Integration
  • Support & Maintenance

Based on Technology:

  • Machine Learning
  • Deep Learning
  • Supervised Learning
  • Reinforced Learning
  • Unsupervised Learning
  • Others
  • Natural Language Processing
  • Context-aware Computing
  • Computer Vision

Based on Application:

  • Predictive Maintenance and Machinery Inspection
  • Material Movement
  • Production Planning
  • Field Services
  • Quality Control
  • Cybersecurity
  • Industrial Robots
  • Reclamation

Based on Industry:

  • Automobile
  • Energy and Power
  • Pharmaceuticals
  • Heavy Metals and Machine Manufacturing
  • Semiconductors and Electronics
  • Food & Beverages
  • Others

Based on Region:

  • North America
  • Europe
  • Asia Pacific
  • Rest of the World (RoW)

This report includes the following manufacturers:

  • NVIDIA Corporation (US)
  • IBM Corporation (US)
  • Alphabet Inc. (Google) (US)
  • Microsoft Corporation (US)
  • Intel Corporation (US)
  • Siemens AG (Germany)
  • General Electric Company (US)
  • General Vision Inc. (US)
  • Progress Software Corporation (US)
  • Micron Technology Inc.,(US)
  • Mitsubishi Electric Corporation (Japan)
  • Sight Machine (US)
  • Cisco Systems Inc., (US)
  • SAP SE (Germany)
  • Rockwell Automation Inc. (US)
  • AIBrain Inc. (US)
  • Vicarious Inc. (US
  • Oracle Corporation (US)
  • Amazon Web Services (US)
  • SparkCognition Inc. (US)
  • Rethink Robotics (Germany)
  • UBTECH Robotics Corp. (China)
  • Aquant Inc. (Israel), Bright Machines (US)
  • Flutura Decision Sciences & Analytics (India).

Research Methodology

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To compile the detailed study of the global artificial intelligence in manufacturing market, a robust research methodology has been adopted that aids in determining the key insights and also evaluates the growth prospects of the artificial intelligence in manufacturing market. Data Insights Partner Research analysts have conducted in-depth primary and secondary research to obtain crucial insights into the artificial intelligence in manufacturing market. To carry out secondary research, the analysts have collected the information through company annual reports, journals, company press releases, and paid databases that were referred to gain and identify better opportunities in the global market.

Salient Features:

Ø This study offers comprehensive yet detailed analysis of the artificial intelligence in manufacturing market, size of the market (US$ Bn), and Compound Annual Growth Rate (CAGR (%)) for the period of forecast: 2021-2028, taking into account 2020 as the base year

Ø It explains upcoming revenue opportunities across various market segments and attractive matrix of investment proposition for the said market

Ø This market intelligence report also offers pivotal insights about various market opportunities, restraints, drivers, competitive market strategies of leading market players, emerging market trends, and regional outlook

Ø Profiling of key market players in the global artificial intelligence in manufacturing is done by taking into account various parameters such as company strategies, distribution strategies, product portfolio, financial performance, key developments, geographical presence, and company overview

Ø The data of this report would allow management authorities and marketers of companies alike to take informed decision when it comes to launch of Type of models, government initiatives, marketing tactics and expansion, and technical up gradation

Ø The global market for artificial intelligence in manufacturing caters to the needs of various stakeholders pertaining to this industry, namely suppliers, manufacturers, investors, and distributors for artificial intelligence in manufacturing market. The research also caters to the rising needs of consulting and research firms, financial analysts, and new market entrants

Ø Research methodologies that have been adopted for the purpose of this study have been clearly elaborated so as to facilitate better understanding of the reports

Ø Reports have been made based on the guidelines as mandated by General Data Protection Regulation

Ø Ample number of examples and case studies have been taken into consideration before coming to a conclusion

Reasons to buy:

v Identify opportunities and plan strategies by having a strong understanding of the investment opportunities in the artificial intelligence in manufacturing market

v Identification of key factors driving investment opportunities in the artificial intelligence in manufacturing market

v Facilitate decision-making based on strong historic and forecast data

v Position yourself to gain the maximum advantage of the industry’s growth potential

v Develop strategies based on the latest regulatory events

v Identify key partners and business development avenues

v Respond to your competitors’ business structure, strategy and prospects

v Identify key strengths and weaknesses of important market participants

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