Learn details of the Forecast 2017 Analysis and Forecasts to 2022
AI is a branch of science that deals with making machines, computer, software, and computer operated robot to think intelligently for finding solutions to complex problems in the same way how human brain thinks. It is applied to projects that require human intellectual capabilities such as generalization, reasoning, and learning and discovering meaning from past experiences.
The development of AI was with the intention of making similar intelligence for machines that is there in humans.
Covered in this report:
The report covers the present scenario and the growth prospects of the global artificial intelligence chips market for 2017-2021.
Global Artificial Intelligence (AI) Chips Market 2017-2021, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the market landscape and its growth prospects over the coming years.
The report also includes a discussion of the key vendors operating in this market.
Technavio recognizes the following companies as the key players in the global artificial intelligence chips market: AMD (Advanced Micro Devices), Google, Intel, and NVIDIA.
Other Prominent Vendors in the market are: Baidu, Graphcore, and Qualcomm.
Key questions answered in this report: What will the market size be in 2021 and what will the growth rate be? What are the key market trends? What is driving this market?; What are the challenges to market growth?; Who are the key vendors in this market space?; What are the market opportunities and threats faced by the key vendors?; What are the strengths and weaknesses of the key vendors? ;
According to the report, one driver in the market is increasing implementation of AI in robotics. Robotics is all about creating efficient and intelligent robots.
These robots are also called artificial agents. Robotics is a field of AI. It considers computer-controlled mechanical devices to perform specific tasks that are hazardous or tedious for humans.
Traditional robots use AI techniques that help to program the robot’s behavior. There is another approach called autonomous robotics, which deals with robots that can control and develop themselves autonomously.
Further, the report states that one challenge in the market is lack of skilled workforce for development of AI algorithms. The AI chips are experiencing evolution due to the changing technology.
Most of the daily jobs like bug fixing, testing, digital, and cloud implementation are being taken over by the AI chips. However, the delivery of such jobs lacks the essential skills set because AI chips perform only according to the algorithms set for them.
As a result, the productivity of the job gets affected as it does not meet the requirements.
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