The US AI in manufacturing market is estimated to generate $550 million in 2018. The market in the US is estimated to grow at a significant CAGR of more than 30% during the forecast period. The market growth is attributed to the factors such as investments in R&D, high expenditure on IT and ICT industry, and the presence of key players. The favorable government initiatives in product development and innovation along with the collaboration between the private and government sector to develop AI technology in the country further spurs the growth of the market.

The manufacturing industry has been consistently contributing to the total US GDP, and National Association of Manufacturers calculates that every dollar in output from manufacturing generates an additional $1.89 of value and every direct job creates 2.5 additional jobs. As per the National Association of Manufacturers, manufacturers contributed $2.38 trillion to the US economy in the fourth quarter of 2018. This number has risen since the second quarter of 2009, when manufacturers contributed $1.67 trillion.

The market is segmented on the basis of application and end-user. Based on application, the market is segmented into quality control & reclamation, predictive maintenance, supply network optimization, and others including production planning. Predictive maintenance held the highest share in 2018 owing to increasing demand for accuracy and reliability during the manufacturing process. Based on end-user, the market is segmented into automobile, pharmaceutical, heavy metal & machine manufacturing and others. Automobile segment dominated the market in 2018.

There are various prominent players that are significantly contributing to the AI in manufacturing market which includes SAS Institute Inc., NVIDIA Corp., Google, LLC, IBM Corp., Microsoft Corp., and others. These players adopt various strategies for gaining their position in a highly competitive market. For instance, in March 2018, Adobe and NVIDIA Corp. declared a strategic collaboration to rapidly accelerate their deep learning and AI technologies. This partnership will advance the strategy of Adobe to widen the availability of Sensei APIs and to expand the Sensei ecosystem to a new audience of data scientists, partners, and developers. 

Research Methodology

The market study of the US AI in manufacturing market is incorporated by extensive primary and secondary research conducted by the research team.  Secondary research has been conducted to refine the available data to breakdown the market in various segments, derive total market size, market forecast, and growth rate. Different approaches have been worked on to derive the market value and market growth rate. Our team collects facts and data related to the market from different geography to provide a better regional outlook. In the report, the country-level analysis is provided by analyzing various regional players, regional tax laws and policies, consumer behavior and macro-economic factors. Numbers extracted from Secondary research have been authenticated by conducting proper primary research. It includes tracking down key people from the industry and interviewing them to validate the data. This enables our analyst to derive the closest possible figures without any major deviations in the actual number. Our analysts try to contact as many executives, managers, key opinion leaders, and industry experts. Primary research brings authenticity to our reports.

Secondary Sources Include

• Financial reports of companies involved in the market.
• Whitepapers, research-papers, and news blogs.
• Company websites and their product catalog.

The report is intended for IT companies, software vendors, automotive industry, healthcare companies, research institutes, government organizations, and other market participants for the overall market and competitive analysis. The report provides an in-depth analysis on market size, and future market opportunities. The report will serve as a source for 360-degree analysis of the market thoroughly delivering insights into the market for making better business decisions.

Market Segmentation

1. US AI in Manufacturing Market Research and Analysis by Application

2. US AI in Manufacturing Market Research and Analysis by End-User 

The Report Covers

• Comprehensive research methodology of the US AI in manufacturing market.
• This report also includes a detailed and extensive market overview with key analyst insights.
• An exhaustive analysis of macro and micro factors influencing the market guided by key recommendations.
• Analysis of regional regulations and other government policies impacting the US AI in manufacturing market.
• Insights about market determinants which are stimulating the US AI in manufacturing market.
• Detailed and extensive market segments with regional distribution of forecasted revenues.
• Extensive profiles and recent developments of market players.