According to the new market research report on AI (chipsets), this market is expected to be worth USD 7.06 billion in 2018 and is likely to reach USD 59.26 billion by 2025, at a CAGR of 35.5%

LONDON, Feb. 27, 2018 /PRNewswire/ -- AI (chipsets) market projected to grow at a CAGR of 35.5%
According to the new market research report on AI (chipsets), this market is expected to be worth USD 7.06 billion in 2018 and is likely to reach USD 59.26 billion by 2025, at a CAGR of 35.5% from 2018 to 2025. The growth of the AI (chipsets) market can be attributed to the adoption of AI for improving consumer services and reducing hardware cost. However, the lack of skilled workforce is waning the growth of the AI (chipsets) market



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Market for computer vision to grow at highest CAGR from 2018 to 2025
The market for computer vision is expected to grow at the highest CAGR from 2018 to 2025. Computer vision is being widely adopted in manufacturing industries, especially for robotic application, and in the automotive sector. In the automotive sector, this technology plays a significant role in semiautonomous and autonomous cars as these cars cannot understand human hand signal or any other gestures without computer vision

Processor held largest market size in 2017
Processor held the largest size of the AI (chipsets) market in 2017. This is attributed to the increase in demand for high-computing processors to run AI algorithms in servers as well as developing edge devices. CPU and GPU were the key determinants of the growth of the processor segment

AI (chipsets) market for manufacturing industry to witness highest growth between 2018 and 2025
The market for the manufacturing industry is expected to witness the highest growth during the forecast period. Rising labor cost for manufacturing goods is one of the major drivers for the growth of AI-enabled robots in the manufacturing sector. In addition, trends such as Industry 4.0 are complementing the growth of the market in the manufacturing sector.

AI (chipsets) market in APAC expected to grow at highest CAGR
This report covers the AI (chipsets) market in North America, Europe, APAC, and RoW. The increasing adoption of deep learning and NLP technologies in finance, agriculture, marketing, and law applications is driving the market in APAC. Concurrently, growing e-commerce, online streaming, and increasing internet penetration have resulted in the growth of AI technology in marketing industries in the region.

Breakdown of profiles of primary participants:
• By Company Type: Tier 1 = 45%, Tier 2 = 30%, and Tier 3 = 25%
• By Designation: C-Level Executives = 55%, Managers = 30%, and Others = 15%
• By Region: North America = 45%, Europe = 25%, APAC = 20%, and RoW = 10%

Companies that are profiled in this report are NVIDIA (US), Intel (US), Xilinx (US), Samsung Electronics (South Korea), Micron Technology (US), Qualcomm Technologies (US), IBM (US), Google (US), Microsoft (US), and AWS (US). Some of the key start-ups included in this report are Graphcore (UK), Wave Computing (US), Mythic (US), Adapteva (US), and Koniku (US).

Research Coverage
The report describes various hardware components associated with AI and related developments across industry verticals and regions. It aims at estimating the size and growth potential of this market across segments such as technology, hardware, end-user industry, and geography. Furthermore, the report includes an in-depth competitive analysis of the key players in the market, along with their company profiles, recent developments, and key market strategies.

Reasons to Buy the Report
• The report includes the market statistics pertaining to various segments, along with their respective revenue.
• The report details the major drivers, restraints, challenges, and opportunities for the AI (chipsets) market.
• The report provides illustrative segmentation, analysis, and forecast for the AI (chipsets) market based on technology, hardware, end-user industry, and geography to give an overall view of the AI (chipsets) market.
• The report provides a detailed competitive landscape including key players and their ranking.

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