Deep Learning Chipset Market Research by Top Key Players - IBM, Intel, and Others 2018-2023

Deep learning technology is driving the evolution of artificial intelligence (AI) and has become one of the hottest topics of discussion within the technology world and beyond. Given the rate at which deep learning is progressing, some industry observers are predicting it will bring about a doomsday scenario, while others strive for a time when the technology can transform business processes and create new business models through scalable, more efficient automation and predictive capabilities. The current market climate is ripe for innovation in hardware in general, and chipsets more specifically.

The Global Deep Learning Chipset Market research 2018 highlights the major details and provides in-depth analysis of the market along with the future growth and prospects. The reports also offer important insights which help the industry experts, product managers, CEOs, and business executives to draft their policies on various parameters including expansion, acquisition, and new product launch as well as analyzing and understanding the market trends and demands analysis explore with the help of 15 Chapters, complete report with 137 Pages, figures, graphs and table of contents to analyze the situations of global Deep Learning Chipset market and Assessment to 2023. The report provides the customers thorough coverage of the Deep Learning Chipset industry performance over the last 5 years, and an accurate estimation of the market performance substantiated by the observed market trends over the years.

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This report focuses on the Deep Learning Chipset in global market, especially in North America, Europe and Asia-Pacific, South America, Middle East and Africa. This report categorizes the market based on manufacturers, regions, type and application.

United States has the largest global export quantity and manufacturers in Deep Learning Chipset market, while the EU is the second sales volume market for Deep Learning Chipset in 2016.

In the industry, NVIDIA profits most in 2016 and recent years, while Intel and IBM ranked 2 and 3.The market share of them is 26.72%, 20.57% and 12.56% in 2016.The gap of market share is keep on enlarged due to different strategy.

Deep Learning Chipset technology is not mature now, and new enterprises can not surpass existing famous brands on reputation or design in the short term. So, the study group recommends the new entrants need to be considered carefully before enter into this field.

The worldwide market for Deep Learning Chipset is expected to grow at a CAGR of roughly 39.1% over the next five years, will reach 6310 million US$ in 2023, from 870 million US$ in 2017, according to a new GIR (Global Info Research) study.

Market Segment by Manufacturers, this report covers:

- IBM

- Qualcomm

- CEVA

- KnuEdge

- AMD

- Xilinx

- ARM

- Google

- Graphcore

- TeraDeep

- Wave Computing

- BrainChip and more

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The Deep Learning Chipset industry report has an in-depth coverage of the market along with multiple segmentations of the Deep Learning Chipset such as by type, application, and region among others.

Market Segment by Regions, regional analysis covers: North America (USA, Canada and Mexico), Europe (Germany, France, UK, Russia and Italy), Asia-Pacific (China, Japan, Korea, India and Southeast Asia), South America (Brazil, Argentina, Columbia, etc.), Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa).

The report further covers the detailed analysis substantiated with suitable statistics of the factors, opportunities, challenges, and prospects for the players in the Deep Learning Chipset. Moreover, the report covers all the top players in the Deep Learning Chipset which is inclusive of a detailed company profile, the products on offer, and revenue and market share of each player.

Market Segment by Type, covers:

- Graphics Processing Units (GPUs)

- Central Processing Units (CPUs)

- Application Specific Integrated Circuits (ASICs)

- Field Programmable Gate Arrays (FPGAs)

- Others

Market Segment by Applications, can be divided into:

- Consumer

- Aerospace, Military & Defense

- Automotive

- Industrial

- Medical

- Others

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There are 15 Chapters to deeply display the Global Deep Learning Chipset market.

Chapter 1: to describe Deep Learning Chipset Introduction, product scope, market overview, market opportunities, market risk, market driving force, Chapter 2: to analyze the top manufacturers of Deep Learning Chipset, with sales, revenue, and price of Deep Learning Chipset, in 2016 and 2018

Chapter 3: to display the competitive situation among the top manufacturers, with sales, revenue and market share in 2016 and 2018, Chapter 4: to show the global market by regions, with sales, revenue and market share of Deep Learning Chipset, for each region, from 2012 to 2018

Chapter 5, 6, 7, 8 and 9: to analyze the key regions, with sales, revenue and market share by key countries in these regions; Chapter 10 and 11: to show the market by type and application, with sales market share and growth rate by type, application, from 2012 to 2018

Chapter 12: Deep Learning Chipset market forecast, by regions, type and application, with sales and revenue, from 2018 to 2023, Chapter 13, 14 and 15: to describe Deep Learning Chipset sales channel, distributors, traders, dealers, Research Findings and Conclusion, appendix and data source.

List of Tables:

Market Overview

Manufacturers Profiles

Global Deep Learning Chipset Sales, Revenue, Market Share and Competition by Manufacturer (2016-2018)

Global Deep Learning Chipset Market Analysis by Regions

North America Deep Learning Chipset by Countries

Europe Deep Learning Chipset by Countries

Asia-Pacific Deep Learning Chipset by Countries and more……….

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