HOME Top Market Reports Neuromorphic Chip Market by Application (Image recognition, Speech Recognition, Data Mining) , End-User Industry (Aerospace, Defense & Military, Medical, Industrial, Automotive, Consumer, Other Industries), and Geography - Global Forecast & Analysis to 2016 - 2022

Neuromorphic Chip Market by Application (Image recognition, Speech Recognition, Data Mining) , End-User Industry (Aerospace, Defense & Military, Medical, Industrial, Automotive, Consumer, Other Industries), and Geography - Global Forecast & Analysis to 2016 - 2022

By: marketsandmarkets.com
Publishing Date: September 2015
Report Code: SE 3744

 

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Neuromorphic chips are brain inspired electronic chips made out of multiple neurons. Combination of several artificial neural network chips is called Neuromorphic architecture. Current microprocessors can crunch numbers seamlessly, but they are terrible at tasks that brains do with ease. Motivation behind designing these chips is to build a platform for running large-scale, real-time simulations to aid neuroscience research. Studying a system as complex as the brain invariably leads to analytically intractable circuits or time-consuming, surgically-invasive laboratory experiments. Very large scale integration implementations of biologically-accurate neural network models can result in powerful tools for experimentation, where theoretical insight can be put to test through large-scale simulations. Hardware acceleration would allow researchers to run real-time simulations beyond scales that are possible in supercomputers and at a fraction of the cost (once commercialized) and power consumption. As a result, innovation in processor architecture is seen with increased interest by governments, research institutes, and business entities and the market is thereby evolving with significant developments in neuromorphic arena.

This report is based on an extensive research study of the neuromorphic chip market and aims at identifying the entire market and all its subsegments through extensively detailed classifications. The demand for neuromorphic chip is expected to grow moderately and gain importance among industry players across various domains over time. North America is expected to be the fastest-growing market at a CAGR of 33.85% between 2016 and 2022, owing to the presence of key players in the development of neuromorphic chip. Europe is expected to hold a share of ~16.29% in 2016. Asia-Pacific is expected to hold the highest market share of 50.86% in 2016 for the neuromorphic chip market.

The report focuses on giving a bird’s eye-view of the industry with regard to the neuromorphic chip market, with qualitative analysis of each and every aspect of the classification done on the basis of end-user industry, application, and geography. The report provides a forecast for the growth of the market between 2016 and 2022. A complete competitive landscape of the current market is analyzed from the market share analysis and rankings of current key players and all the other details of key players are discussed in their company profiles. The information provided in this report includes the market share of leading companies in the neuromorphic chip ecosystem, key developments, core strategies deployed by various players, mergers and acquisitions, new product developments, collaborations, and joint ventures of key manufacturers along with their company profiles.

The report also discusses the future of the global market with roadmaps, upcoming technologies, markets, and applications with respect to the neuromorphic chip market. Key players in this industry include Samsung Group (South Korea), IBM Corp. (U.S.), Intel Inc. (U.S.), Qualcomm Inc. (U.S.), Hewlett Packard Company (U.S.),, General Vision Inc. (U.S.) and others.

Scope of the report:

This report categorizes the global neuromorphic chip market on the basis of applications, end-user industry, and geography. It forecasts the revenue for 2016-2022 and analyzes the trends in the neuromorphic chip market.

On the basis of Application:

The neuromorphic chip market is segmented on the basis of application into image recognition, speech recognition, and data mining market.

On the basis of end-user industry:

In this section, the market is segmented on the basis of the end-user industries for which the neuromorphic chip is used. These include aerospace, defense & military, automotive, consumer, medical, industrial and other industries.

On the basis of geography:

In this section, the market is segmented on the basis of different regions, namely, North America, Europe, Asia-Pacific, and the RoW.

Table of Contents

1 Introduction (Page No. - 12)
    1.1 Objectives of Study
    1.2 Market Definition
    1.3 Study Scope
           1.3.1 Markets Covered
           1.3.2 Years Considered for the Study
           1.3.3 Currency
    1.4 Limitations
    1.5 Stakeholders

2 Research Methodology (Page No. - 15)
    2.1 Introduction
    2.2 Demand-Side Analysis
           2.2.1 Overall Sensor Requirement Expected to Reach 1 Trillion By 2022
           2.2.2 Growth in Smartphone Market
           2.2.3 Rise of the Concept of Internet of Things
    2.3 Market Size Estimation
    2.4 Market Breakdown & Data Triangulation
    2.5 Market Share Estimation
           2.5.1 Key Data Points From Secondary Sources
           2.5.2 Key Data Points From Primary Sources
           2.5.3 Key Industry Insights
    2.6 Market Breakdown & Data Triangulation
           2.6.1 Assumptions

3 Executive Summary (Page No. - 25)

4 Cover Story (Page No. - 29)
    4.1 Interview With Mr. Philippe Lambinet (CEO of Neuromem Inc.)
    4.2 Interview With Dr. Marco Bitetto (Inventor of Nervotron and CTO of Nervotronics Corporation)

5 Premium Insights (Page No. - 33)
    5.1 Growth Drivers for Neuromorphic Chip Market
    5.2 Neuromorphic Chip Market – Comparison of Growth Patterns of Top 3 Applications
    5.3 Asia-Pacific: Neuromorphic Chip Market
    5.4 Geographical Snapshot of the Neuromorphic Chip Market
    5.5 Industry Snapshot for Global Neuromorphic Chip Market in the Next Five Years
    5.6 Image Recognition & Signal Recognition to Drive the Neuromorphic Chip Market Between 2016 and 2022

6 Market Overview (Page No. - 37)
    6.1 Introduction
    6.2 Market Segmentation
           6.2.1 By Application
           6.2.2 By End-User Industry
    6.3 Market Dynamics
           6.3.1 Drivers
                    6.3.1.1 End of Moore’s Law Would Lead to New Ways of Computation That are Biologically Inspired
                    6.3.1.2 Need for Better-Performing Ics in Terms of Computational Speed, Power Consumption, and Packaging Density
                    6.3.1.3 Growth of Artificial Intelligence and Machine Learning
           6.3.2 Restraints
                    6.3.2.1 Slow Development of Real-World Applications Despite Significant Investment in R&D
                    6.3.2.2 Hardware Complexity in Designing Neuromorphic Chips Based on Complex Algorithms
           6.3.3 Opportunities
                    6.3.3.1 Innovative Applications in the Area of Automation
                    6.3.3.2 Understanding the Operation of the Human Brain
           6.3.4 Challenges
                    6.3.4.1 Software Compatibility of Neural Hardware

7 Industry Trends (Page No. - 48)
    7.1 Introduction
    7.2 Value Chain Analysis
    7.3 Supply Chain Analysis

8 Global Neuromorphic Chip Market, By Application (Page No. - 51)
    8.1 Introduction
    8.2 Image Recognition
    8.3 Signal Recognition
    8.4 Data Miniing

9 Global Neuromorphic Chip Market, By End-User Industry (Page No. - 61)
    9.1 Introduction
    9.2 Aerospace, Military & Defense Sector
    9.3 Automotive Industry
    9.4 Medical Industry
    9.5 Consumer Sector
    9.6 Industrial
    9.7 Others

10 Global Neuromorphic Chip Market, By Geography (Page No. - 82)
     10.1 Introduction
     10.2 North America
     10.3 Europe
     10.4 Asia-Pacific
     10.5 RoW

11 Competitive Landscape (Page No. - 94)
     11.1 Overview
     11.2 Ranking Analysis, Neuromorphic Chip Market in 2015
     11.3 Significant Developments in the Neuromorphic Chip Market

12 Company Profiles (Page No. - 98)
(Overview, Products and Services, Financials, Strategy & Development)*
     12.1 International Business Machine Corporation
     12.2 Hewlett Packard Corp.
     12.3 Samsung Group.
     12.4 Intel Corp.
     12.5 Qualcomm Inc.
     12.6 Brain Corporation
     12.7 HRL Laboratories, LLC
     12.8 General Vision Inc.

*Details on Overview, Products and Services, Financials, Strategy & Development Might Not Be Captured in Case of Unlisted Companies

13 Appendix (Page No. - 117)
     13.1 Discussion Guide
     13.2 Introducing RT: Real Time Market Intelligence
     13.3 Available Customizations
     13.4 Related Reports


List of Tables (39 Tables)

Table 1 Demand for High-Performance Integrated Circuits and Pattern Recognition Abilities Expected to Drive the Growth of the Neuromorphic Chips Market
Table 2 Further R&D Investment and Hardware Complexity in Learning Complex Algorithms Would Restrict Development of Neuromorphic Chips
Table 3 Possibility of Innovative Applications and Quest to Reverse-Engineer the Human Brain Generate New Opportunities for the Neuromorphic Chips Market
Table 4 Software Comparison: Conventional vs Neuromorphic Chip
Table 5 Software Compatibility of Neuromorphic Hardware is the Biggest Challenge for Neuromorphic Chips Market
Table 6 Neuromorphic Chip Market, By Application, 2016–2022 (USD Million)
Table 7 Image Recognition Market, By Sub-Application, 2016–2022 (USD Million)
Table 8 Image Recognition Market, By End-User Industry, 2016–2022 (USD Million)
Table 9 Image Recognition Market, By Region, 2016–2022 (USD Million)
Table 10 Signal Processing Market, By Sub-Application, 2016–2022 (USD Million)
Table 11 Signal Processing Market, By End-User Industry, 2016–2022 (USD Million)
Table 12 Signal Processing Market, By Region, 2016–2022 (USD Million)
Table 13 Data Mining Market, By Sub-Application, 2016–2022 (USD Million)
Table 14 Data Mining Market, By End-User Industry, 2016–2022 (USD Million)
Table 15 Data Mining Market, By Region, 2016–2022 (USD Million)
Table 16 Neuromorphic Chip Market, By End-User Industry, 2016–2022 (USD Million)
Table 17 Aerospace , Military & Defense Industry: Neuromorphic Chip Market Size, By Application, 2016–2022 (USD Million)
Table 18 Aerospace, Military & Defense Sector: Neuromorphic Chip Market Size, By Region, 2016–2022 (USD Million)
Table 19 Automotive Industry: Neuromorphic Chip Market Size, By Application, 2016–2022 (USD Million)
Table 20 Automotive Industry : Neuromorphic Chip Market Size, By Region, 2016–2022 (USD Million)
Table 21 Medical Industry: Neuromorphic Chip Market Size, By Application, 2018–2022 (USD Million)
Table 22 Medical Industry: Neuromorphic Chip Market Size, By Region, 2016–2022 (USD Million)
Table 23 Consumer Industry: Neuromorphic Chip Market Size, By Application, 2016–2022 (USD Million)
Table 24 Consumer Industry: Neuromorphic Chip Market Size, By Region, 2016–2022 (USD Million)
Table 25 Industrial: Neuromorphic Chip Market Size, By Application, 2016-2022 (USD Million)
Table 26 Industrial: Neuromorphic Chip Market Size, By Region, 2016–2022 (USD Million)
Table 27 Other Industries: Neuromorphic Chip Market Size, By Application, 2016–2022 (USD Million)
Table 28 Other Industries: Neuromorphic Chip Market Size, By Region, 2016–2022 (USD Million)
Table 29 Global Neuromorphic Chip Market, By Region, 2016–2022 (USD Million)
Table 30 North America: Neuromorphic Chip Market, By End-User Industry, 2016–2022 (USD Million)
Table 31 North America: Neuromorphic Chip Market, By Country, 2016–2022 (USD Million)
Table 32 Europe: Neuromorphic Chip Market, By End-User Industry, 2016–2022 (USD Million)
Table 33 Europe: Neuromorphic Chip Market, By Country, 2016–2022 (USD Million)
Table 34 Asia-Pacific: Neuromorphic Chipmarket, By End-User Industry, 2016–2022 (USD Million)
Table 35 Asia-Pacific: Neuromorphic Chip Market, By Country, 2016–2022 (USD Million)
Table 36 RoW: Neuromorphic Chip Market, By End-User Industry, 2016–2022 (USD Million)
Table 37 RoW: Neuromorphic Chipmarket, By Country, 2016–2022 (USD Million)
Table 38 Qualcomm and IBM are Expected to Lead the Neuromorphic Chip Market in 2015
Table 39 Significant Developments


List of Figures (63 Figures)

Figure 1 Markets Covered
Figure 2 Research Design
Figure 3 Research Methodology
Figure 4 Market Size Estimation Methodology: Bottom-Up Approach
Figure 5 Breakdown of Primary Interviews: By Company Type, Designation, & Region
Figure 6 Market Breakdown and Data Triangulation
Figure 7 Image Recognition Expected to Dominate the Overall Market During the Forecast Period
Figure 8 Consumer Industry Expected to Lead the Overall Neuromorphic Chip Market
Figure 9 Global Neuromorphic Chip Market, By Region, 2018
Figure 10 Consumer Industry Expected to Drive the Neuromorphic Chip Market During the Forecast Period
Figure 11 Image Recognition to Grow at A Higher Rate During the Forecast Period
Figure 12 China Expected to Hold the Largest Share of the Asia-Pacific Neuromorphic Chip Market in 2018
Figure 13 North American Neuromorphic Chip Market to Grow at the Highest CAGR Between 2016 and 2022
Figure 14 Consumer Industry Expected to Dominate the Neuromorphic Chip Market Between 2016 and 2022
Figure 15 Image Recognition Application has A Promising Future
Figure 16 Architectural Difference: Von Neumann vs Neural Network
Figure 17 Biological Inspiration of Neuromorphic Design By Carver Mead in 1990
Figure 18 Segmentation: By Application
Figure 19 Segmentation: By End-User Industry
Figure 20 Drive for Reduction in Manufacturing and Process Costs Would Lead to New Growth Opportunities
Figure 21 Increasing Cost Per Transistor for A Single Ic Chip After the Launch of 28nm Technology
Figure 22 Potential Value Chain Mapping (2016): Major Value Added During the Product Definition and Design Phases
Figure 23 Potential Supply Chain of Neuromorphic Chip Market
Figure 24 Growing Market for Sensor and Internet of Things
Figure 25 Image Recognition Sub-Application Expected to Hold the Largest Market Share Between 2016 and 2022
Figure 26 Video Monitoring Sub-Application of Image Recognition Expected to Hold the Largest Share Between 2016 and 2022
Figure 27 Voice Identification Segment of Signal Recognition Expected to Hold the Largest Share Between 2016 and 2022
Figure 28 Fingerprint Identification Sub-Application of Data Mining Application Expected to Hold the Largest Share Between 2016 and 2022
Figure 29 Neuromorphic Chip Market: By End-User Industry
Figure 30 Neuromorphic Chip Market: Year of Adoption By End-User Industries
Figure 31 The Market for Neuromorphic Chip in the Medical Sector Expected to Witness the Highest Growth Between 2016 and 2022
Figure 32 The Market for Signal Recognition Application of Neuromorphic Chip to Witness the Highest Growth in the Aerospace, Military & Defense Sector Between 2016 and 2022 (USD Million)
Figure 33 APAC Market for Neuromorphic Chips Used in the Aerospace, Military & Defense Sector Expected to Witness the Highest Growth Between 2016 and 2022
Figure 34 Market for Image Recognition Application of Neuromorphic Chip in Automotive Industry Expected to Register the Highest Growth Between 2018 and 2022
Figure 35 APAC Market for Neuromorphic Chip in Automotive Sector Expected to Witness Highest Growth Between 2018 and 2022 (USD Million)
Figure 36 Market for Image Recognition Application of Neuromorphic Chip Expected to Register Highest Growth in the Medical Sector Between 2018 and 2022 (USD Million)
Figure 37 Asia-Pacific Market for Neuromorphic Chip in Medical Sector Expected to Witness the Highest Growth Between 2018 and 2022
Figure 38 Market for Image Recognition Application of Neuromorphic Chip in Consumer Sector Expected to Witness the Highest Growth Between 2016 and 2022 (USD Million)
Figure 39 North American Market for Neuromorphic Chip in Consumer Sector to Witness the Highest Growth Between 2016 and 2022
Figure 40 Market for Image Recognition Application of Neuromorphic Chip Expected to Witness the Highest Growth in the Industrial Sector Between 2018 and 2022
Figure 41 Asia-Pacific to Witness Highest Growth in the Industrial Neuromorphic Chip Market Between 2018 and 2022
Figure 42 Market for Image Recognition Application of Neuromorphic Chip Expected to Register Highest Growth in Other Industries Between 2018 and 2022
Figure 43 North American Neuromorphic Chip Market to Witness the Highest Growth in Other Industries Between 2018 and 2022
Figure 44 Benefits of Neuromorphic Chip
Figure 45 Geographic Snapshot (2016–2022) – U.S., Germany, and South Korea Emerging as the Potential Markets for Nueromorphic Chips
Figure 46 North America and APAC: Attractive Destinations for All End-User Industries of Neuromorphic Chips
Figure 47 North America to Witness the Highest Growth Between 2016 and 2022
Figure 48 Consumer Sector Expected to Drive the North American Market Between 2016 and 2022
Figure 49 Consumer Sector to Hold the Largest Share of the European Market Between 2016 and 2022
Figure 50 APAC Market With Respect to the Top Applications and End-User Industries
Figure 51 Consumer Sector to Hold the Largest Share of the Asia-Pacific Neuromorphic Chip Market Between 2016 and 2022 (USD Million)
Figure 52 Consumer Sector Expected to Hold the Largest Share of the RoW Market Between 2016 and 2022
Figure 53 Key Strategies Adopted By the Major Players in Neuromorphic Chip Market
Figure 54 International Business Machines. : Company Snapshot
Figure 55 IBM Corp:SWOT Analysis
Figure 56 Hewlett Packard: Company Snapshot
Figure 57 HP: SWOT Analysis
Figure 58 Samsung Group.: Company Snapshot
Figure 59 Samsung Group:SWOT Analysis
Figure 60 Intel Inc.: Company Snapshot
Figure 61 Intel Inc. SWOT Analysis
Figure 62 Qualcomm Inc.: Company Snapshot
Figure 63 Qualcomm Inc: SWOT Analysis

Neuromorphic chip is defined as a chip with parallel architecture with no supervision, as against conventional Von-Neumann model, to perform computation function, and is capable of learning and recognizing patterns in few milliseconds. It consumes very low power and operates at lower frequency rate. The global neuromorphic chip market is expected to grow at a CAGR of 26.31% to reach USD 4,798.96 Million by 2022. This development would be driven by the increasing growth of data analytics and artificial intelligence in the market.

The key application segments of the neuromorphic chip market included in the report are image recognition, speech recognition, and data mining. Of the application segments, the image recognition segment is expected to be the largest contributor to the overall neuromorphic chip market, accounting for a share of ~45.90% of the market in 2016. This report segments the market on the basis of application, end user industry, and geography. The application segments are image recognition, signal processing, and data processing. Image recognition is expected to hold the highest market share and grow at the highest CAGR of 31.73% between 2016 and 2022. The growth in image recognition is attributable to its extensive use across multiple industries. The initial prototypes demonstrated imply that the image recognition application would be driven by video monitoring and medical imaging subapplications. As a result its market size in terms of volume is expected to increase during the forecast period. Signal recognition is expected to hold the second-highest market share and grow at a CAGR of 23.65% between 2016 and 2022.

The neuromorphic chip market is also segmented on the basis of end-user industry into aerospace, defense & military, automotive, medical, consumer, industrial, and other industries. The report covers the market for geographic regions comprising North America, Europe, Asia-Pacific, and the Rest of the World (RoW). Asia-Pacific is expected to have the largest market share in 2016 in terms of value for market of 50.86%. The North American market is expected to grow at the highest CAGR of 33.85% between 2016 and 2022.

The key players in this industry include Samsung Group (South Korea), IBM Corp. (U.S.), Intel Inc. (U.S.), Qualcomm Inc. (U.S.), Hewlett Packard Company (U.S.), General Vision Inc. (U.S.) and others.

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