Artificial Intelligence in Manufacturing Market 2020 | Current Scenarios and Industry Vision

Artificial intelligence (AI) is one of the most advanced technologies in the field of computer science. It is associated with human intelligence through similar characteristics such as better decision making, language understanding, and others. Industrialists in the market experience huge underlying intellectual challenges in the development and revision of the technology. Increase in demand for artificial Intelligence in manufacturing market has been witnessed owing to rise in adoption of Internet of Things and increase in awareness about customer satisfaction. In addition, development of smarter and efficient robots is expected to propel the market growth. However, high cost of implementing this technology and high threat to human dignity are anticipated to restrain the market growth.

The key players profiled in this report includes Bosch, Cisco Systems, Inc., General Electric Company, IBM Corporation, Intel Corporation, Microsoft Corporation, Mitsubishi Electric Corporation, NVIDIA Corporation, Oracle Corporation, and Siemens AG.

Access full summary report at https://www.alliedmarketresearch.com/artificial-intelligence-in-manufacturing-market

The global artificial Intelligence in manufacturing market size was $513.6 million in 2017, and is expected to reach at $15,273.7 million by 2025, growing at a CAGR of 55.2% during the forecast period. The On-Premise segment accounted for two-thirds share of the market in 2017, and is expected to witness significant growth during the forecast period.

Increase in use of machine vision and computer vision globally drives the growth of artificial intelligence in the manufacturing market. In addition, growth in venture capital investments also significantly contributes to the market growth. Furthermore, rise in standards of living and recent developments in the emerging economies such as China and India have created a major growth potential for AI in the manufacturing sector. However, disinclination among manufacturers to adopt AI-based technologies and threat of lots of jobs substituted by AI-based technology systems is expected to hinder the market demand.

Get Sample Report for More Details at https://www.alliedmarketresearch.com/request-sample/4747

Conversely, enduring technological advancements such as smarter AI chips and others by key players is expected to create lucrative opportunities for the growth of the market.

Inquire more about this report at https://www.alliedmarketresearch.com/purchase-enquiry/4747

Based on the deployment, the on-premise segment is expected to garner the largest share in the global market during the forecast period. According to the industry segment, the automobile sector is expected to dominate the market in terms of revenue in 2017, owing to the capability of artificial Intelligence in manufacturing to achieve less errors and mass production.

Contact:

David Correa
5933 NE Win Sivers Drive
#205, Portland, OR 97220
United States
Toll Free: +1-800-792-5285
UK: +44-845-528-1300
Hong Kong: +852-301-84916
India (Pune): +91-20-66346060
Fax: +1?855?550-5975
help@alliedmarketresearch.com
Web: https://www.alliedmarketresearch.com

About Us:

Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Portland, Oregon. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of "Market Research Reports" and "Business Intelligence Solutions." AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain.

We are in professional corporate relations with various companies and this helps us in digging out market data that helps us generate accurate research data tables and confirms utmost accuracy in our market forecasting. Each and every data presented in the reports published by us is extracted through primary interviews with top officials from leading companies of domain concerned. Our secondary data procurement methodology includes deep online and offline research and discussion with knowledgeable professionals and analysts in the industry.

This release was published on openPR.