AI Chipset Market 2021 Top Growing Companies Analysis and Segmentation Outlook till 2027

The AI Chipset market research report provides an in-depth analysis of the current’s trends, latest developments, scenario, market size, various drivers, restraints, and major players along with their profile details. Research report offers the historic data for year 2021 and 2027 and also provides the forecast data from year 2021 to 2027 which is based on revenue. With the help of all these information research report helps the market participants to improve market positions. With the help of all these insights AI Chipset market research report recommends a business strategy for present market participants to strengthen their position in the market.

The data studied for the preparation of the report takes into account the current major players and the major players that will be listed. Industry top players are: Nvidia, Intel, Xilinx, Samsung Electronics, Micron Technology, Qualcomm Technologies, IBM, Google, Microsoft, Amazon Web Services (AWS), AMD, General Vision, Graphcore, Mellanox Technologies, Huawei Technologies, Fujitsu, Wave Computing, Mythic, Adapteva, Koniku, Tenstorrent

Recent Developments

In May 2020, NVIDIA launched two powerful products for its EGX Edge AI platform — the EGX A100 for larger commercial off-the-shelf servers and the tiny EGX Jetson Xavier NX for micro-edge servers — delivering high-performance, secure AI processing at the edge. With the NVIDIA EGX Edge AI platform, hospitals, stores, farms, and factories can carry out real-time processing and protection of massive amounts of data streaming from trillions of edge sensors. The platform makes it possible to securely deploy, manage, and update fleets of servers remotely.

In May 2020, NVIDIA announced that the first GPU based on the NVIDIA Ampere architecture, the NVIDIA A100, is in full production and shipping to customers worldwide. The A100 draws on design breakthroughs in the NVIDIA Ampere architecture — offering the company’s largest leap in performance to date within its eight generations of GPUs — to unify AI training and inference and boost performance by up to 20x over its predecessors. A universal workload accelerator, the A100 is also built for data analytics, scientific computing, and cloud graphics.

In February 2020, Micron, together with technology company Continental (Germany), announced plans to enter into a collaboration agreement to explore and adapt Micron’s deep learning accelerator for next-generation machine learning automotive applications. This agreement brings together two world leaders in the automotive and memory markets to advance machine learning to meet the extreme memory requirements of modern vehicles.

The Global AI Chipset Market Size is Projected to Reach at a CAGR of 40.19% during 2021-2027.

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Covid-19 Impact and Recovery Analysis:

The number one goal of this AI Chipset Market document is to provide Quantitative records withinside the form of charts and graphs. The information regarding market fundamentals is provided surely for the sake of readers. All the readers on the side of stakeholders will understand the market situations and business enterprise environment because it needs to be through this properly-planned Market analysis. It turns smooth to collect the effect of COVID-19 on the market boom through this AI Chipset market document.

AI Chipset market Segmentation By Type:

Machine Learning

Natural Language Processing

Context-Aware Computing

Computer Vision

AI Chipset market Segmentation By Application:

Healthcare

Manufacturing

Automotive

Others

Market Overview:

The global AI chipsets market size is expected to be valued at USD 7.6 billion in 2021 and likely to reach USD 57.8 billion by 2027, at a CAGR of 40.1% during the forecast period. Major drivers for the market are increasingly large and complex datasets driving the need for AI, the adoption of AI for improving consumer services and reducing operational costs, the growing number of AI applications, the improving computing power, and growing adoption of deep learning and neural networks.

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Regional Analysis:

North America (United States, Canada and Mexico)
Europe (Germany, France, United Kingdom, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, Korea, India, Southeast Asia, and Australia)
South America (Brazil, Argentina, Colombia, and Rest of South America)
Middle East & Africa (Saudi Arabia, UAE, Egypt, South Africa, and Rest of Middle East & Africa)

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Significant Features and Key Highlights of the Reports:

– Detailed overview of AI Chipset Market

– Changing market dynamics of the industry

– In-depth market segmentation by Type, Application etc.

– Historical, current and projected market size in terms of volume and value.

– Recent industry trends and developments

– Competitive landscape of AI Chipset Market

– Strategies of key players and product offerings

– Potential and niche segments/regions exhibiting promising growth.

The report gives answers to the following:

What strategies are followed by key players to fight this Covid-19 situation?
What are the essential matters drivers, opportunities, challenges, and dangers of the market will face surviving?
Which are the leading market players in the AI Chipset industry?
What is the predicted compound annual growth rate (CAGR) of the global marketplace during the forecast period (2021-2027)?
What could be the anticipated value of the AI Chipset marketplace in the during the forecast period?
Impact of COVID-19:

The research includes historic data from 2016 to 2021 and forecasts until 2027 which makes the AI Chipset market report an invaluable resource for industry executives, marketing, sales, and product managers, consultants, analysts, and other people looking for key industry data in readily accessible documents with clearly presented tables and graphs.

Customization: -

The Global AI Chipset Market report may be modified to meet your specific business needs. Because we understand what our clients want, we provide up to 20% customization for any of our Market Intelligence Data reports at no additional cost to all of our Users.

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