GLOBAL DEEP LEARNING CHIPSETS MARKET 2018 BY MANUFACTURERS, COUNTRIES, TYPE AND APPLICATION, FORECAST TO 2023

Nov 2018 138

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Synopsis

Artificial intelligence (AI) technology is progressing at a rapid pace, as is the application of the technology to solve real-world problems. While the market for chipsets to address deep learning training and inference workloads is still a new one, the landscape is changing quickly - in the past year, more than 60 companies of all sizes have announced some sort of deep learning chipset or intellectual property (IP) design. Every prominent name in the technology industry has acknowledged the need for hardware acceleration of AI algorithms and the semiconductor industry has responded by offering a wide range of solutions.

Scope of the Report:

The edge computing market, where AI computation is done on the device, is expected to represent more than three-quarters of the total market opportunity, with the balance being in cloud/data center environments. Mobile phones will be a major driver of the edge market, and other prominent edge categories include automotive, smart cameras, robots, and drones.

The global Deep Learning Chipsets market is valued at xx million USD in 2017 and is expected to reach xx million USD by the end of 2023, growing at a CAGR of xx% between 2017 and 2023.

The Asia-Pacific will occupy for more market share in following years, especially in China, also fast growing India and Southeast Asia regions.

North America, especially The United States, will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Deep Learning Chipsets.

Europe also play important roles in global market, with market size of xx million USD in 2017 and will be xx million USD in 2023, with a CAGR of xx%.

This report studies the Deep Learning Chipsets market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the Deep Learning Chipsets market by product type and applications/end industries.

Market Segment by Companies, this report covers
- Google
- Intel
- Xilinx
- AMD
- NVIDIA
- ARM
- Qualcomm
- IBM
- Graphcore
- BrainChip
- Mobileye
- Wave Computing
- CEVA
- Movidius
- Nervana Systems
- Amazon
- Cerebras Systems
- Facebook

Market Segment by Regions, regional analysis covers

North America (United States, Canada and Mexico)

Europe (Germany, France, UK, Russia and Italy)

Asia-Pacific (China, Japan, Korea, India and Southeast Asia)

South America (Brazil, Argentina, Colombia)

Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

Market Segment by Type, covers
- CPUs
- GPUs
- FPGAs
- ASICs
- SoC Accelerators
- Others

Market Segment by Applications, can be divided into
- Automotive
- Smart Cameras
- Robots
- Drones
- Mobile Phones
- Others

Table of Contents

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GLOBAL DEEP LEARNING CHIPSETS MARKET 2018 BY MANUFACTURERS, COUNTRIES, TYPE AND APPLICATION, FORECAST TO 2023

Global Info Research

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