Deep Learning Chipset Market – Global Industry Insights, Market Size Estimation 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


Deep Learning Chipset Market - Report Description

Deep Learning Chipset Market Revenue Forecast
Deep Learning Chipset Market Revenue Forecast By Computing Performance

The market for deep learning chipset has been covered under the scope of 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 according the future requirement 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 deep learning chipset market has been segmented on the basis of:

  • Chipset type
  • Computing performance
  • Architecture
  • End user, and Region

It 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 chipset market worldwide.

Deep Learning Chipset Market Size And Revenue Share By Geography
Deep Learning Chipset Market Size And Revenue Share
 

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.


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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 Deep learning chipset 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 Revenue Forecast By Architecture
Deep Learning Chipset Market Revenue Forecast
 

The Competitive Profiling

The competitive profiling of the key players in the global Deep learning chipset 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.

 

Report Highlights

  • Impeccable insights related to relevant segment of the market.
  • In depth research of key trends of the market.
  • In-depth analysis of the competitive landscape
  • Major push factors that will influence the growth of the market.
  • Growth potential in different segments of the market till 2025.
  • Key strategies executed by the market leaders to maintain growth in the market.
  • Major restrictive factors of the market.
  • Ways to generate new revenue.

 

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)

Table of Content

1.Introduction

1.1

Study Objective

1.2

Assumption

1.3

Acronyms Used

1.4

Stakeholder Analysis, Mendelow's Matrix

1.5

Research Scope

1.6

Market Segmentation

1.7 Research Limitations

2.Research Methodology

2.1

Parameters

2.2

Data Sources

2.2.1. Primary Data Sources

2.2.1.1

Primary Interviews Breakdown, By Geography

2.2.1.2

Primary Interviews Breakdown, By Designation

2.3

Research Process

2.3.1

Primary data collection process

2.3.2

Primary data sources

2.3.3

Secondary data collection process

2.3.4

Secondary data sources

2.4

Market Size Estimation Technique

2.4.1

Top Down Approach

2.4.2

Bottom Up Approach

2.4.3

Forecasting Technique

3. Executive Summary

3.1

Market Size (Value and Volume), By Chipset Type, 2016 Vs. 2025

3.2

Market Size (Value and Volume), By Computing Performance, 2016 Vs. 2025

3.3

Market Size (Value and Volume), By Architecture, 2016 Vs. 2025

3.4

Market Size (Value and Volume), By End User, 2016 Vs. 2025

3.5

Market Size (Value and Volume), By Region, 2016 Vs. 2025

4. Market Overview

4.1

Market Definition

4.1.1

By Chipset Type

4.1.2

By Computing Performance

4.1.3

By Architecture

4.1.4

By End User

4.2

Key Trends

4.3

Product Lifecycle

4.4

Porter’s Five Forces Analysis

4.5

Market Attractiveness Analysis

5. Global Deep Learning Chipset Market – Competitive Scenario

5.1

Market Share of Key Players

5.2

Competitive Strategies Adopted by Leading Players

5.3

List of Growth Activities

5.3.1

Organic Growth Activities

5.3.2

Inorganic Growth Activities

5.4

Customer Group Benchmarking

5.5

Vendor Positioning Matrix

6. Global Deep Learning Chipset Market – By Chipset Type

6.1

Overview – By Chipset Type

6.2

Key Trends

6.3

Market Dynamics, By Chipset Type

6.3.1

Drivers

6.3.2

Restraints

6.3.3

Opportunities

6.4

Market Opportunity Heat Map, By Chipset Type

6.5

CPUs (central processing units)

6.6

GPUs (graphics processing units)

6.7

FPGAs (field programmable gate arrays)

6.8

ASICs (application specific integrated circuits)

6.9

Others

7. Global Deep Learning Chipset Market – By Computing Performance

7.1

Overview – By Computing Performance

7.2

Key Trends

7.3

Market Dynamics, By Computing Performance

7.3.1

Drivers

7.3.2

Restraints

7.3.3

Opportunities

7.4

Market Opportunity Heat Map, By Computing Performance

7.5

Low compute capacity (<1 TFlops)

7.6

High compute capacity (> =1 TFlops)

8. Global Deep Learning Chipset Market – By Architecture

8.1

Overview – By Architecture

8.2

Key Trends

8.3

Market Dynamics, By Architecture

8.3.1

Drivers

8.3.2

Restraints

8.3.3

Opportunities

8.4

Market Opportunity Heat Map, By Architecture

8.5

Hardware

8.6

Software

9. Global Deep Learning Chipset Market – By End User

9.1

Overview – By End User

9.2

Key Trends

9.3

Market Dynamics, By End User

9.3.1

Drivers

9.3.2

Restraints

9.3.3

Opportunities

9.4

Market Opportunity Heat Map, By End User

9.5

Healthcare

9.6

Sales And Marketing

9.7

BFSI Sector

9.8

Security

9.9

Manufacturing

9.10

Others

10. North America Deep Learning Chipset Market

10.1

North America Market: Overview

10.2

North America Market: By Chipset Type

10.3

North America Market: By Computing Performance

10.4

North America Market: By Architecture

10.5

North America Market: By End User

10.6

North America Market: By Country

11. Europe Deep Learning Chipset Market

11.1

Europe Market: Overview

11.2

Europe Market: By Chipset Type

11.3

Europe Market: By Computing Performance

11.4

Europe Market: By Architecture

11.5

Europe Market: By End User

11.6

Europe Market: By Country

12. Asia-Pacific Deep Learning Chipset Market

12.1

Asia-Pacific Market: Overview

12.2

Asia-Pacific Market: By Chipset Type

12.3

Asia-Pacific Market: By Computing Performance

12.4

Asia-Pacific Market: By Architecture

12.5

Asia-Pacific Market: By End User

12.6

Asia-Pacific Market: By Country

13. Middle East and Africa Deep Learning Chipset Market

13.1

Middle East and Africa Market: Overview

13.2

Middle East and Africa Market: By Chipset Type

13.3

Middle East and Africa Market: By Computing Performance

13.4

Middle East and Africa Market: By Architecture

13.5

Middle East and Africa Market: By End User

13.6

Middle East and Africa Market: By Country

14. South America Deep Learning Chipset Market

14.1

South America Market: Overview

14.2

South America Market: By Chipset Type

14.3

South America Market: By Computing Performance

14.4

South America Market: By Architecture

14.5

South America Market: By End User

14.6

South America Market: By Country

15. Company Profiles

15.1

Alphabet Inc.

15.1.1

Business Overview

15.1.2

Company Description

15.1.3

Primary Business Segments

15.1.4

SWOT Analysis

15.1.5

Strategy Mapping

15.1.6

Financial Overview

15.2

IBM Corporation

15.2.1

Business Overview

15.2.2

Company Description

15.2.3

Primary Business Segments

15.2.4

SWOT Analysis

15.2.5

Strategy Mapping

15.2.6

Financial Overview

15.3

Graphcore Ltd

15.3.1

Business Overview

15.3.2

Company Description

15.3.3

Primary Business Segments

15.3.4

SWOT Analysis

15.3.5

Strategy Mapping

15.3.6

Financial Overview

15.4

QUALCOMM Incorporated

15.4.1

Business Overview

15.4.2

Company Description

15.4.3

Primary Business Segments

15.4.4

SWOT Analysis

15.4.5

Strategy Mapping

15.4.6

Financial Overview

15.5

CEVA Inc.

15.5.1

Business Overview

15.5.2

Company Description

15.5.3

Primary Business Segments

15.5.4

SWOT Analysis

15.5.5

Strategy Mapping

15.5.6

Financial Overview

15.6

Advanced Micro Devices Inc.

15.6.1

Business Overview

15.6.2

Company Description

15.6.3

Primary Business Segments

15.6.4

SWOT Analysis

15.6.5

Strategy Mapping

15.6.6

Financial Overview

15.7

NVIDIA Corporation

15.7.1

Business Overview

15.7.2

Company Description

15.7.3

Primary Business Segments

15.7.4

SWOT Analysis

15.7.5

Strategy Mapping

15.7.6

Financial Overview

15.8

TeraDeep Inc.

15.8.1

Business Overview

15.8.2

Company Description

15.8.3

Primary Business Segments

15.8.4

SWOT Analysis

15.8.5

Strategy Mapping

15.8.6

Financial Overview

15.9

Intel Corporation

15.9.1

Business Overview

15.9.2

Company Description

15.9.3

Primary Business Segments

15.9.4

SWOT Analysis

15.9.5

Strategy Mapping

15.9.6

Financial Overview

15.10

XILINX Incorporated

15.10.1

Business Overview

15.10.2

Company Description

15.10.3

Primary Business Segments

15.10.4

SWOT Analysis

15.10.5

Strategy Mapping

15.10.6

Financial Overview

 

List of Figures

Fig 01 Vendor Positioning Matrix

Fig 02 Market Attractiveness, By Geography (2016)

Fig 03 Market Attractiveness, By Chipset Type (2016)

Fig 04 Market Attractiveness, By Computing Performance (2016)

Fig 05 Market Attractiveness, By Architecture (2016)

Fig 06 Market Attractiveness, By End User (2016)

Fig 07 Production Capacity Share of Key Players (2016)

Fig 08 Global Revenue Forecast (USD Billion): By Chipset Type (2016 Vs 2025)

Fig 09 Global Volume Forecast (Million Units): By Type (2016 Vs 2025)

Fig 10 CPUs (Central Processing Units) - Revenue and Volume Forecast

Fig 11 GPUs (Graphics Processing Units) - Revenue and Volume Forecast

Fig 12 FPGAs (Field Programmable Gate Arrays) - Revenue and Volume Forecast

Fig 13 ASICs (Application Specific Integrated Circuits)- Revenue and Volume Forecast

Fig 14 Others - Revenue and Volume Forecast

Fig 15 Global Revenue Forecast (USD Billion): By Computing Performance (2016 Vs 2025)

Fig 16 Global Volume Forecast (Million Units): By Computing Performance (2016 Vs 2025)

Fig 17 Low compute capacity (<1 TFlops) - Revenue and Volume Forecast

Fig 18 High compute capacity (>=1 TFlops) - Revenue and Volume Forecast

Fig 19 Global Revenue Forecast (USD Billion): By Architecture (2016 Vs 2025)

Fig 20 Global Volume Forecast (Million Units): By Architecture (2016 Vs 2025)

Fig 21 Hardware - Revenue and Volume Forecast

Fig 22 Software - Revenue and Volume Forecast

Fig 23 Global Revenue Forecast (USD Billion): By End User (2016 Vs 2025)

Fig 24 Global Volume Forecast (Million Units): By End User (2016 Vs 2025)

Fig 25 Healthcare- Revenue and Volume Forecast

Fig 26 Sales And Marketing- Revenue and Volume Forecast

Fig 27 BFSI- Revenue and Volume Forecast

Fig 28 Security- Revenue and Volume Forecast

Fig 29 Manufacturing- Revenue and Volume Forecast

Fig 30 Others- Revenue and Volume Forecast

Fig 31 North America Revenue Forecast (USD Billion): By Chipset Type

Fig 32 North America Volume Forecast (Million Units): By Chipset Type

Fig 33 North America Revenue Forecast (USD Billion): By Computing Performance

Fig 34 North America Volume Forecast (Million Units): By Computing Performance

Fig 35 North America Revenue Forecast (USD Billion): By Architecture

Fig 36 North America Volume Forecast (Million Units): By Architecture

Fig 37 North America Revenue Forecast (USD Billion): By End use Industry

Fig 38 North America Volume Forecast (Million Units): By End User

Fig 39 North America Revenue Forecast (USD Billion): By Country

Fig 40 North America Volume Forecast (Million Units): By Country

Fig 41 Europe Revenue Forecast (USD Billion): By Chipset Type

Fig 42 Europe Volume Forecast (Million Units): By Chipset Type

Fig 43 Europe Revenue Forecast (USD Billion): By Computing Performance

Fig 44 Europe Volume Forecast (Million Units): By Computing Performance

Fig 45 Europe Revenue Forecast (USD Billion): By Architecture

Fig 46 Europe Volume Forecast (Million Units): By Architecture

Fig 47 Europe Revenue Forecast (USD Billion): By End use Industry

Fig 48 Europe Volume Forecast (Million Units): By End User

Fig 49 Europe Revenue Forecast (USD Billion): By Country

Fig 50 Europe Volume Forecast (Million Units): By Country

Fig 51 Asia-Pacific Revenue Forecast (USD Billion): By Chipset Type

Fig 52 Asia-Pacific Volume Forecast (Million Units): By Chipset Type

Fig 53 Asia-Pacific Revenue Forecast (USD Billion): By Computing Performance

Fig 54 Asia-Pacific Volume Forecast (Million Units): By Computing Performance

Fig 55 Asia-Pacific Revenue Forecast (USD Billion): By Architecture

Fig 56 Asia-Pacific Volume Forecast (Million Units): By Architecture

Fig 57 Asia-Pacific Revenue Forecast (USD Billion): By End use Industry

Fig 58 Asia-Pacific Volume Forecast (Million Units): By End User

Fig 59 Asia-Pacific Revenue Forecast (USD Billion): By Country

Fig 60 Asia-Pacific Volume Forecast (Million Units): By Country

Fig 61 Middle East and Africa Revenue Forecast (USD Billion): By Chipset Type

Fig 62 Middle East and Africa Volume Forecast (Million Units): By Chipset Type

Fig 63 Middle East and Africa Revenue Forecast (USD Billion): By Computing Performance

Fig 64 Middle East and Africa Volume Forecast (Million Units): By Computing Performance

Fig 65 Middle East and Africa Revenue Forecast (USD Billion): By Architecture

Fig 66 Middle East and Africa Volume Forecast (Million Units): By Architecture

Fig 67 Middle East and Africa Revenue Forecast (USD Billion): By End use Industry

Fig 68 Middle East and Africa Volume Forecast (Million Units): By End User

Fig 69 Middle East and Africa Revenue Forecast (USD Billion): By Country

Fig 70 Middle East and Africa Volume Forecast (Million Units): By Country

Fig 71 South America Revenue Forecast (USD Billion): By Chipset Type

Fig 72 South America Volume Forecast (Million Units): By Chipset Type

Fig 73 South America Revenue Forecast (USD Billion): By Computing Performance

Fig 74 South America Volume Forecast (Million Units): By Computing Performance

Fig 75 South America Revenue Forecast (USD Billion): By Architecture

Fig 76 South America Volume Forecast (Million Units): By Architecture

Fig 77 South America Revenue Forecast (USD Billion): By End use Industry

Fig 78 South America Volume Forecast (Million Units): By End User

Fig 79 South America Revenue Forecast (USD Billion): By Country

Fig 80 South America Volume Forecast (Million Units): By Country

 

List of Tables

Table 01 Customer Group Benchmarking

Table 02 Market Opportunity Heat Map, By Chipset Type

Table 03 Comparative Analysis of Vendors

Table 04 Market Opportunity Heat Map, By Chipset Type

Table 05 Market Opportunity Heat Map, By Computing Performance

Table 06 Market Opportunity Heat Map, By Architecture

Table 07 Market Opportunity Heat Map, By End User

Table 08 North America Market, By Chipset Type: Revenue Forecast (USD Billion)

Table 09 North America Market, By Chipset Type: Volume Forecast (Million Units)

Table 10 North America Market, By Computing Performance: Revenue Forecast (USD Billion)

Table 11 North America Market, By Computing Performance: Volume Forecast (Million Units)

Table 12 North America Market, By Architecture: Revenue Forecast (USD Billion)

Table 13 North America Market, By Architecture: Volume Forecast (Million Units)

Table 14 North America Market, By End User: Revenue Forecast (USD Billion)

Table 15 North America Market, By End User: Volume Forecast (Million Units)

Table 16 North America Market, By Country: Revenue Forecast (USD Billion)

Table 17 North America Market, By Country: Volume Forecast (Million Units)

Table 18 Europe Market, By Chipset Type: Revenue Forecast (USD Billion)

Table 19 Europe Market, By Chipset Type: Volume Forecast (Million Units)

Table 20 Europe Market, By Computing Performance: Revenue Forecast (USD Billion)

Table 21 Europe Market, By Computing Performance: Volume Forecast (Million Units)

Table 22 Europe Market, By Architecture: Revenue Forecast (USD Billion)

Table 23 Europe Market, By Architecture: Volume Forecast (Million Units)

Table 24 Europe Market, By End User: Revenue Forecast (USD Billion)

Table 25 Europe Market, By End User: Volume Forecast (Million Units)

Table 26 Europe Market, By Country: Revenue Forecast (USD Billion)

Table 27 Europe Market, By Country: Volume Forecast (Million Units)

Table 28 Asia-Pacific Market, By Chipset Type: Revenue Forecast (USD Billion)

Table 29 Asia-Pacific Market, By Chipset Type: Volume Forecast (Million Units)

Table 30 Asia-Pacific Market, By Computing Performance: Revenue Forecast (USD Billion)

Table 31 Asia-Pacific Market, By Computing Performance: Volume Forecast (Million Units)

Table 32 Asia-Pacific Market, By Architecture: Revenue Forecast (USD Billion)

Table 33 Asia-Pacific Market, By Architecture: Volume Forecast (Million Units)

Table 34 Asia-Pacific Market, By End User: Revenue Forecast (USD Billion)

Table 35 Asia-Pacific Market, By End User: Volume Forecast (Million Units)

Table 36 Asia-Pacific Market, By Country: Revenue Forecast (USD Billion)

Table 37 Asia-Pacific Market, By Country: Volume Forecast (Million Units)

Table 38 Middle East and Africa Market, By Chipset Type: Revenue Forecast (USD Billion)

Table 39 Middle East and Africa Market, By Chipset Type: Volume Forecast (Million Units)

Table 40 Middle East and Africa Market, By Computing Performance: Revenue Forecast (USD Billion)

Table 41 Middle East and Africa Market, By Computing Performance: Volume Forecast (Million Units)

Table 42 Middle East and Africa Market, By Architecture: Revenue Forecast (USD Billion)

Table 43 Middle East and Africa Market, By Architecture: Volume Forecast (Million Units)

Table 44 Middle East and Africa Market, By End User: Revenue Forecast (USD Billion)

Table 45 Middle East and Africa Market, By End User: Volume Forecast (Million Units)

Table 46 Middle East and Africa Market, By Country: Revenue Forecast (USD Billion)

Table 47 Middle East and Africa Market, By Country: Volume Forecast (Million Units)

Table 48 South America Market, By Chipset Type: Revenue Forecast (USD Billion)

Table 49 South America Market, By Chipset Type: Volume Forecast (Million Units)

Table 50 South America Market, By Computing Performance: Revenue Forecast (USD Billion)

Table 51 South America Market, By Computing Performance: Volume Forecast (Million Units)

Table 52 South America Market, By Architecture: Revenue Forecast (USD Billion)

Table 53 South America Market, By Architecture: Volume Forecast (Million Units)

Table 54 South America Market, By End User: Revenue Forecast (USD Billion)

Table 55 South America Market, By End User: Volume Forecast (Million Units)

Table 56 South America Market, By Country: Revenue Forecast (USD Billion)

Table 57 South America Market, By Country: Volume Forecast (Million Units)

Introduction

Deep learning technology is an integral part of the machine learning technology that helps in the achievement and evolution of artificial intelligence. The architecture and working principal of deep learning chipset is similar to that of neural network that is inspired by our biological understanding of our brain. Till 2015, the deep learning technology was primarily a software play, and the necessity for hardware fabrication was first determined in academia. However, only few companies including the major chipset manufacturers have ventured into developing specialized chipset until now.

Deep learning has enabled various practical applications of machine learning by overall extension of the field of artificial intelligence (AI). Driverless cars, better movie recommendation, face recognition, fraud detection, better preventive healthcare system, determining security threats and curating rich customer experience for its various customers are all covered within the working horizon of deep learning chipset. Thus, deep learning chipset is expected to augment various activities of the business in order to achieve the overall success. Owing to its increasing adoption, the deep learning chipset market across the globe is anticipated to experience a robust growth rate throughout the forecast period both in terms of revenue (USD Million) and volume (Million Units) from 2017 to 2025.

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

Deep Learning Chipset 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 chipset market 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.

 

Market Segmentation Overview

In order to discuss the deep learning chipset market from the viewpoint of both technology and market across different regions including Asia-Pacific, North America, Europe, South America and Middle-East and Africa, the market has been classified on the basis of chipset type, compute capacity, architecture and end user.

Chipset Type

Based on chipset type, the deep learning chipset market is currently led by CPUs (central processing units) and GPUs (graphics processing units). However, coming year is anticipated to witness an expanded role for other chipsets as well including FPGAs (field programmable gate arrays), ASICs (application specific integrated circuits) among others.

Computing Performance

In addition, depending upon the computing performance, the deep learning chipset market has been classified into low and high group. The low segment has a compute capacity of less than 1 TFlops and the high segment has a compute capacity of equal to or greater than 1 TFlops.

Architecture

On the other hand, depending on the component used in the fabrication process of deep learning chipset, the market has been categorized into hardware and software section. Furthermore, application of deep learning chipset across various end user segments including healthcare, sales and marketing, BFSI (banking, financial services and insurance) sector, security and manufacturing sector among others is also provided in this report.

End-user Segment

Among the different end user segments, demand for deep learning chipset from the security sector held the largest market share in 2016 and is expected to maintain its leading position throughout the forecast period. Rapidly changing cyber security ecosystem across the globe owing to rising demand for enhanced security solutions by various industries in order to encounter the cyber threats and to protect critical information from new types of cyber attacks is the primary factor attributed to this segment’s high market share. However, the BFSI sector is expected to create the most promising demand for deep learning chipset in the coming eight years.
 

Regional Outlook

Geographically, North America generated the highest demand for deep learning chipset in 2016, which is an outcome of the mushrooming startups across various parts of the U.S. that indulges in rapid research and development activities of artificial intelligence technology and provides various applications that is supported by AI. However, wide concentration of semiconductor manufacturers in countries such as China, Japan and Tokyo along with rapid adoption of AI in this region is the most important factor expected to turn Asia Pacific region into the leading region both in terms of revenue and volume.

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Summary
Global Deep Learning Chipset Market Report
Article Name
Global Deep Learning Chipset Market Report
Description
Global Deep Learning Chipset Market Report analyze the market by chipset types, computing performance, end users and regions. It is expected to grow at a CAGR of 43.5%, by revenue, from 2017 to 2025.
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Factor & Equilibrium
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