Industry 4.0 & Artificial Intelligence Revolutionize Industrial Automation

Posted by Deeksha on January 31st, 2019

The past few decades have witnessed innovations that have accentuated new surges of growth in industrial automation. The programmable logic controller (PLC) fueled growth in applications where custom logic was hard to implement and change. The PLC has a long and a productive life and has now become a commodity. The advent of the PC brought low-cost based hardware and software, thereby providing DCS functionality with considerable reduction in cost and complexity. Innovation and technology have re-established growth in industrial automation with technology related to nanotech sensors, nanotechnology and nanoscale assembly systems. These excerpts are in line with the report titled, “Industrial Automation Scorecard—Thematic Research,” which has been lately added in the exhaustive repository of Market Research Hub (MRH).

Automated factories have already existed for some time now as batch size are negotiated with electronic transactions, customers order online, sophisticated machines and intelligent robots rapidly and smoothly fabricate a range of customized products on demand. One of the trends in industrial automation is surged use of machine vision to offer robot guidance functions and automatic inspection. The integration of information and control across the enterprises allows industries to improve industrial process operation.

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Industry 4.0, a combination of internet of things, cyber-physical systems and the internet of systems has made the smart factory a reality. Owing to adoption of smart machines which get access to more data, factories have become more efficient, productive and less wasteful. Industrial automation provide array of opportunity for manufacturers to enhance their operations efficiently. Industrial automation is being fueled by artificial intelligence as it has augmented productivity and has addressed customer value creation. Though there might be job cuts, industries are positive with regards to AI and envisage lucrative business opportunities. China has become a prominent hub for industrial automation technology and investors vie it has the primary investment and innovation destination.

Industrial Automation: Report Content

The report offers a qualitative and quantitative analysis on the industrial automation. The report includes a sector scorecard which spots prominent companies likely to excel. The report also includes the dynamics of the industrial automation providing an in-depth view in the world filled with disruptive threats.

On the basis of key themes estimated to transform the industry landscape, the industrial automation scorecard offers a top-down and exhaustive outlook for the major players in the industrial automation industry in the next two years. The report also includes sector performance and company performance and gives insights on macro-economic and technology themes.

View Full Report with Table and Content@ https://www.marketresearchhub.com/report/industrial-automation-scorecard-thematic-research-report.html

Industrial Automation: Research Methodology

 The report has been prepared by scoring top 600 TMT companies against 60 investment themes, thereby creating database of 36,000 thematic scores. The research methodology in this report includes secondary sources, primary sources and analysis from panel of expert. Secondary sources applied in the report include, but are not limited to government documents, annual reports, investors’ presentation, World Bank database, market reports, statistical database, relevant patent and regulatory database. Primary sources incorporates telephonic interviews, honest reviews and e-mail interactions across regions.  Expert panel relentlessly analyzes the report in order to offer readers with worth wile report.

 

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Deeksha

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Deeksha
Joined: January 3rd, 2019
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