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AI Chips Market 2020 Will Emerge Globally And Grow With High CAGR by 2026 | 44.6% CAGR | Coronavirus-COVID19 Impact Analysis

05-26-2020 02:14 PM CET | Business, Economy, Finances, Banking & Insurance

Press release from: AllTheResearch

The Global AI Chips Market was valued at USD XX Bn in 2018 and is expected to reach USD XX Bn by 2026, growing at a CAGR of 44.6% by 2027.
The ripple effect of Coronavirus-COVID19 on the AI Chips Market needs to become part of strategy discussions to emerge strong. The Analyst team is meticulously tracking the impact and relevance to all the sectors in the AI Chips Market. Key data sets include Revenue Impact analysis, Disruptions and New opportunities in the Supply Chain, Revised Vendor Landscape Mix, New opportunities mapping, and more.

Download Exclusive Free Sample PDF with Top Companies Market Positioning Data
https://www.alltheresearch.com/sample-request/11

An Artificial Intelligence (AI) chip is similar to a GPU chip and is designed to perform AI tasks efficiently. These are silicon chips that include AI technology and use machine learning and IoT that have the ability to analyse data and make decisions based on it. It solves computational and mathematical problems efficiently, as large volumes of data makes the decision making process crucial. AI chips are being used in the automotive, healthcare, aerospace & defence, consumer electronics, and others.

AllTheResearch offers a most recent distributed report on Global AI Chips industry examination and figure 2019-2025 conveying key bits of knowledge and giving an upper hand to customers through a point by point report. The report contains XX pages which profoundly displays on current market investigation situation, up and coming just as future chances, income development, evaluating and gainfulness.

Market Segmentation:
Following Top Key players are profiled in this Market Study:
AMD, Adapteva, Alphabet, Baidu, Google, Inc., Graphcore, Huawei Technologies, Intel Corporation, Mythic, NVIDIA, Qualcomm, UC-Davis etc

By End-use Industry: Automotive, healthcare, aerospace & defence, consumer electronics, and others

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The BFSI sector has the largest share in the AI chips market, as AI chips can be incorporated in the banking system to help clients in making decisions related to investments. In addition to this, the increasing demand for reliability and safety in the automobile industry makes it important to use AI chips. AI chips offers highly innovative solutions when it comes to memory, processing, input-output and interconnected technologies. The growing investment and developments in automotive, transportation, retail, finance, healthcare, and media and advertisement in the emerging countries of the Asia-Pacific region will contribute to the rising demand for AI chips in this region.

Ask You Queries | Get 30 Min Free Analyst Call
https://www.alltheresearch.com/speak-to-analyst/11

Regional Analysis:
North America
Europe
Asia Pacific
LATAM
Middle East Africa

Based on regions:
Based on regions, North America is dominating the market due to the presence of major IT companies and other industries that are data-driven and therefore, require faster internet speed for their business. Moreover, the Asia-Pacific region is expected to grow with a high CAGR during the forecast period, owing to the growing telecommunication industry and the increasing penetration of internet services in the region.

View Complete Report with Different Company Profiles
https://www.alltheresearch.com/report/11/ai-chips-market

AllTheResearch
Contact Person: Rohit B.
Tel: 1-888-691-6870
Email: contactus@alltheresearch.com
Website: https://www.alltheresearch.com

About Us:
AllTheResearch was formed with the aim of making market research a significant tool for managing breakthroughs in the industry. As a leading market research provider, the firm empowers its global clients with business-critical research solutions. The outcome of our study of numerous companies that rely on market research and consulting data for their decision-making made us realise, that its not just sheer data-points, but the right analysis that creates a difference.

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