Journal of Remote Sensing & GIS

Market Analysis on Artificial Intelligence 2020

Yung-Yao Chen^{* 1}Graduate Institute of Automation Technology and Chief of Chinese Language Training Center (CLTC), National Taipei University of Technology, Taiwan
^*Correspondence: Associate Professor. Yung-Yao Chen, Graduate Institute of Automation Technology and Chief of Chinese Language Training Center (CLTC), National Taipei University of Technology, Taiwan, Email:

Received: 06-Apr-2021 Published: 27-Apr-2021

After the successful completion of the Advanced Manufacturing conference series, we are pleased to welcome you to the “Future Advancement on Manufacturing: 3DPrinting, Robotics& Automation." The congress is scheduled to take place on May 21-22, 2020 in the beautiful city of London, UK. This 2020 Advanced Manufacturing Conference will give you exemplary experience and great insights in the field of research.

US Advanced Manufacturing Market to Grow at a Staggering 75% CAGR until 2021:

TechSci Research Report Rising Venture Capital Investments Coupled With Increasing R&D Activities in Autonomous Vehicles Market to Drive Advanced Manufacturing Market in US Through 2021

According to TechSci Research report, "United States Advanced Manufacturing Market, By Application, By Region, By End User Competition Forecast & Opportunities, 2011-2021", the Advanced Manufacturing market in the US is projected to grow at a CAGR of 75% during 2016 - 2021 on account of growing Advanced Manufacturing technology adoption in consumer electronic devices, research and developmental activities in healthcare industry, unmanned aerial vehicles, autonomous cars, etc.

This research evaluates enterprise robotics in the United States including companies, technologies, and solutions across industry verticals and applications. The report includes forecasts by industry vertical/application for 2017 through 2021.

Leading industry verticals are beginning to see improved operational efficiency through the introduction of robotics and Advanced Manufacturing (AM). Robotics investment in many industries represents a substantial capital expenditure with the potential to dramatically reduce operational expenses through resource optimization, quality improvement, and waste reduction.

Robotics in business will accelerate as less expensive hardware and improvements in AM lead to improved cost structures and increased integration with enterprise software systems respectively. The massive amount of data generated by robotics will create opportunities for data analytics and AM-enabled decision support systems. Emerging areas for enterprise robotics include Robotics as a Service, Cloud Robotics, and General Purpose Robotics.

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