Deep Learning Chipset Market Size Estimation, Revenue Shares, Trends Analysis and Growth Forecast By Chipset Type (CPUs, GPUs, FPGAs, ASICs, Others), By Computing Performance (Low Compute Capacity and High Compute Capacity), By Architecture (Hardware and Software), By End User (Healthcare, Sales And Marketing, BFSI Sector, Security, Manufacturing, Others) & By Regions, 2017 – 2025

Deep Learning Chipset Market Report Code: SE-101-041518 | Category: Semiconductors and Electronics
Format: pdf file iconexcel file iconPPT File Image | No. of Slides: 190 | No. of Figures: 80 | No. of Tables: 57
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Global Deep Learning Chipset Market is anticipated To Grow At 43.5% CAGR, by Revenue, and 54.5% CAGR, by Volume, from 2017 – 2025

Deep Learning Chipset Market Primary Interviews Breakdown by Designation
PRIMARY INTERVIEWS BREAKDOWN BY DESIGNATION

Global deep learning chipset market research report presents an in-depth analysis and forecast of the market on global and regional level. The study of the market dynamics including market size, revenue share, major drivers and restraints, pricing signals, demand, opportunities in the emerging markets along with profiles of leading companies is described in this report. Deep learning is a part of the machine learning technology which enables the computers to learn from the past experience and allow them to understand and perform accordingly in the future in terms of a hierarchy of concepts. In addition, deep learning technology is one of the integral parts of the value chain of artificial intelligence process. Deep learning chipset market is expected to witness strong growth during the forecast period. The global market has been segmented on the basis of Chipset type, Computing performance, Architecture, End user, and Region.

This report also provides a cross sectional study of the global deep learning chipset market across broad regional segments such as North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America under its scope. Across the globe, enormously increased digital data and improved algorithms for the purpose of reinforced learning and deep supervised learning is expected to drive the market for deep learning chipset in coming years. With the increasing adoption of IoT (internet of thing) devices that promises to interlink billions of new devices through continuous data streaming, it is evident that much more digital data is actually going to disrupt the industry of machine learning and thus triggers the need of deep learning for feting relevant insights from this huge volume of data. Currently, newly build algorithms are shifting the learning from one application to other application making it easier to learn from a very fewer examples form other application. Moreover, across the globe, various deep learning neural network providers are continuously investing and adopting deep learning chipset, to enhance their innovative product portfolio along with to improve customer experience. All the above factors are subsequently expected to drive the demand for deep learning chipsets worldwide.

Global Deep Learning Chipset Market Worth USD 12.94 Billion By 2025 Click To Tweet

Scope of the Report

A complete analysis of market dynamics, which include the market drivers, restraints and opportunities, is included under the scope of the report. Market dynamics for the different types of deep learning chipset and distribution channels have been covered separately, under the purview of the report. Additionally, the country level trend for each region has also been covered under the scope of the report. Thus, this report provides an exhaustive study of the global deep learning chipset market and also provides the forecast of the market for the period from 2017 - 2025.


High-Level Analyses Covered in this Report

Under the scope of the report on global deep learning chipset market, several high-level analyses have been covered. This includes:

  • The product-market trend analysis
  • Product lifecycle analysis
  • Porter’s five forces analysis, and
  • Market attractiveness analysis

Key trends analysis discusses the current and upcoming trends of this market. Product lifecycle analysis analyzes the current lifecycle stage of the product in the five wide geographic regions, such as whether the product is approaching maturity in a region or whether it is a new entrant etc. Porter’s five forces analysis provides insights on the competitive scenario, with regards to new entrants, substitutes, buyers and suppliers. For providing a detailed insight into the global market, the market attractive analysis has been provided in the report. Market attractiveness analysis details the investment attractiveness, by chipset type, by computing performance, by architecture, by end user and by geography.


Deep Learning Chipset Market Size By Geography
Deep Learning Chipset Market Size

Market Dynamics

Deep learning chipset being an integral part of the working principal of artificial intelligence, there exist a direct relationship between the adoption rate of artificial intelligence across various industries and market growth of deep learning chipset. Rapid adoption rate of artificial intelligence technology across different data driven industrial sectors including healthcare, manufacturing, automotive, agriculture, retail, security, marketing and BFSI sectors among others is one of the most important factor anticipated to drive the demand of deep learning chipsets at an exponential rate throughout the forecast period from 2017 to 2025.

Moreover, rising demand for intelligent virtual assistance system across various sectors especially the BFSI and telecommunication sector in order to provide enhanced customer service is also predicted to create a promising market for deep learning chipset in the coming years. Furthermore, increasing demand for computer vision application across a wide range of applications ranging from automatic inspection in manufacturing sector to research and development activities is also expected to drive the demand of deep learning chipset during the forecast period from 2017 to 2025.


The Competitive Profiling

The competitive profiling of the key players in the global market and their business segments has been exhaustively covered under the purview of the study. Moreover, key business strategies adopted by the leading players in the market have also been covered under the scope of the report.


Leading Companies in the Deep Learning Chipset Market

In 2016, only few companies have ventured into manufacturing deep learning chipsets. Some of the major players operating in the deep learning chipset include Intel (The U.S), NVIDIA (The U.S) and Qualcomm (The U.S) among others.


The Deep Learning Chipset market has been segmented as follows:

Deep Learning Chipset market: By Chipset type

  • CPUs (central processing units)
  • GPUs (graphics processing units)
  • FPGAs (field programmable gate arrays)
  • ASICs (application specific integrated circuits)
  • Others

Deep Learning Chipset market: By Computing Performance

  • Low compute capacity (<1 TFlops)
  • High compute capacity (>=1 TFlops)

Deep Learning Chipset market: By Architecture

  • Hardware
  • Software

Deep Learning Chipset market: By End User

  • Healthcare
  • Sales And Marketing
  • BFSI Sector
  • Security
  • Manufacturing
  • Others

Deep Learning Chipset market: By Geography

  • North America (U.S. and Canada)
  • Europe (U.K., Germany, France, CIS + Scandinavia and Rest of Europe)
  • Asia-Pacific (China, Japan, Taiwan, South Korea and Rest of Asia-Pacific)
  • Middle East and Africa (Israel, South Africa and Rest of Middle East and Africa)
  • South America (Brazil, Mexico and Rest of South America)

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