Market Overview:
The global neuromorphic AI semiconductor market is expected to grow at a CAGR of xx% during the forecast period from 2018 to 2030. The growth in this market can be attributed to the increasing demand for neuromorphic AI semiconductors in consumer electronics, wearable medical devices, industrial internet of things (IIoT), and other applications. Additionally, the growing demand for low-power and high-performance semiconductors is also contributing to the growth of this market.
Product Definition:
Neuromorphic AI Semiconductor is a type of semiconductor that has been specifically designed to mimic the workings of the human brain. This type of semiconductor is important because it can be used to create devices that are able to learn and process information in a way that is similar to how humans do. This can be used for tasks such as image recognition, speech recognition, and machine learning.
Image Recognition:
Image recognition is the process of identifying a particular image. It can be done by using various techniques such as pattern recognition, feature extraction, and object detection. Image identification is important in many applications such as computer vision, surveillance robotics, face identification for security purposes and biometric access control among others.
Signal Recognition:
Signal recognition is the most basic form of artificial intelligence. It allows an AI to understand the meaning of a signal it receives. The process involves detecting patterns in the data and determining relationships between inputs and outputs. This helps in learning new concepts as well as performing complicated tasks easily, which is expected to drive market growth over the forecast period.
Application Insights:
The industrial internet of things segment is expected to witness significant growth over the forecast period owing to increasing adoption of neuromorphic chips in various devices. These chips provide solutions for communication between different smart devices and computers, which in turn is boosting their demand. For instance, STMicroelectronics has developed a new type of field programmable gate array (FPGA) that can be used for building brain-like neural networks and artificial intelligence systems. The company has named this product as Nucleo FPGA platform with Embedded Processing Unit (EPU).
The consumer electronics segment held the largest market share in 2017 due to growing demand from smartphones and wearable devices manufacturers such as Fitbit, Garmin, Apple Inc., Samsung Electronics Co., Ltd., etc. Neuromorphic AI semiconductors are being used not only for power management but also for improving user experience by enhancing smartphone cameras or hearing aids using machine learning techniques.
Regional Analysis:
North America dominated the global market in 2017. The growth can be attributed to increasing investments by governments for developing smart cities and rapid technological advancements. Moreover, presence of major technology players such as Qualcomm Inc., Intel Corporation, Google LLC, and others is expected to drive the regional demand for neuromorphic AI chipsets over the forecast period.
Asia Pacific is anticipated to witness significant growth over the next eight years owing to increasing adoption of IoT technologies across various industries in countries such as China and Japan. In addition, rising demand for wearable medical devices due to growing prevalence of chronic diseases is also expected drive regional market growth during the forecast period from 2018 To 2030 (estimated). Furthermore, government initiatives aimed at promoting digitalization are further anticipated boost industry expansion in this region during future years from 2018 To 2030 (estimated).
Growth Factors:
- Increasing demand for neuromorphic chips from the automotive industry for advanced driver assistance systems (ADAS) and autonomous vehicles.
- Growing demand for neuromorphic chips from the consumer electronics sector for applications such as smart speakers, digital assistants, and augmented reality/virtual reality headsets.
- Increasing demand for neuromorphic chips in data centers to accelerate machine learning workloads.
- Proliferation of low-power edge devices that are well-suited to run neuromorphic processors and support artificial intelligence applications at the edge of the network 5
Scope Of The Report
Report Attributes
Report Details
Report Title
Neuromorphic AI Semiconductor Market Research Report
By Type
Image Recognition, Signal Recognition, Data Mining
By Application
Consumer Electronics, Wearable Medical Devices, Industrial Internet of Things, Others
By Companies
Intel Corporation, IBM Corporation, Eta Compute, nepes, GrAI Matter Labs, GyrFalcon, aiCTX, BrainChip Holdings, Intel Corporation
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
218
Number of Tables & Figures
153
Customization Available
Yes, the report can be customized as per your need.
Global Neuromorphic AI Semiconductor Market Report Segments:
The global Neuromorphic AI Semiconductor market is segmented on the basis of:
Types
Image Recognition, Signal Recognition, Data Mining
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Consumer Electronics, Wearable Medical Devices, Industrial Internet of Things, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Intel Corporation
- IBM Corporation
- Eta Compute
- nepes
- GrAI Matter Labs
- GyrFalcon
- aiCTX
- BrainChip Holdings
- Intel Corporation
Highlights of The Neuromorphic AI Semiconductor Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Image Recognition
- Signal Recognition
- Data Mining
- By Application:
- Consumer Electronics
- Wearable Medical Devices
- Industrial Internet of Things
- Others
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Neuromorphic AI Semiconductor Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
- Business Expansion Strategies
- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
- Channel & Customer Management
- Identifying Appropriate Advertising Appeals
8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Some of the major companies in the neuromorphic ai semiconductor market are Intel Corporation, IBM Corporation, Eta Compute, nepes, GrAI Matter Labs, GyrFalcon, aiCTX, BrainChip Holdings, Intel Corporation.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Neuromorphic AI Semiconductor Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Neuromorphic AI Semiconductor Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Neuromorphic AI Semiconductor Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Neuromorphic AI Semiconductor Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Neuromorphic AI Semiconductor Market Size & Forecast, 2018-2028
4.5.1 Neuromorphic AI Semiconductor Market Size and Y-o-Y Growth
4.5.2 Neuromorphic AI Semiconductor Market Absolute $ Opportunity
Chapter 5 Global Neuromorphic AI Semiconductor Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Neuromorphic AI Semiconductor Market Size Forecast by Type
5.2.1 Image Recognition
5.2.2 Signal Recognition
5.2.3 Data Mining
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Neuromorphic AI Semiconductor Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Neuromorphic AI Semiconductor Market Size Forecast by Applications
6.2.1 Consumer Electronics
6.2.2 Wearable Medical Devices
6.2.3 Industrial Internet of Things
6.2.4 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Neuromorphic AI Semiconductor Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Neuromorphic AI Semiconductor Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Neuromorphic AI Semiconductor Analysis and Forecast
9.1 Introduction
9.2 North America Neuromorphic AI Semiconductor Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Neuromorphic AI Semiconductor Market Size Forecast by Type
9.6.1 Image Recognition
9.6.2 Signal Recognition
9.6.3 Data Mining
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Neuromorphic AI Semiconductor Market Size Forecast by Applications
9.10.1 Consumer Electronics
9.10.2 Wearable Medical Devices
9.10.3 Industrial Internet of Things
9.10.4 Others
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Neuromorphic AI Semiconductor Analysis and Forecast
10.1 Introduction
10.2 Europe Neuromorphic AI Semiconductor Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Neuromorphic AI Semiconductor Market Size Forecast by Type
10.6.1 Image Recognition
10.6.2 Signal Recognition
10.6.3 Data Mining
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Neuromorphic AI Semiconductor Market Size Forecast by Applications
10.10.1 Consumer Electronics
10.10.2 Wearable Medical Devices
10.10.3 Industrial Internet of Things
10.10.4 Others
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Neuromorphic AI Semiconductor Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Neuromorphic AI Semiconductor Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Neuromorphic AI Semiconductor Market Size Forecast by Type
11.6.1 Image Recognition
11.6.2 Signal Recognition
11.6.3 Data Mining
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Neuromorphic AI Semiconductor Market Size Forecast by Applications
11.10.1 Consumer Electronics
11.10.2 Wearable Medical Devices
11.10.3 Industrial Internet of Things
11.10.4 Others
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Neuromorphic AI Semiconductor Analysis and Forecast
12.1 Introduction
12.2 Latin America Neuromorphic AI Semiconductor Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Neuromorphic AI Semiconductor Market Size Forecast by Type
12.6.1 Image Recognition
12.6.2 Signal Recognition
12.6.3 Data Mining
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Neuromorphic AI Semiconductor Market Size Forecast by Applications
12.10.1 Consumer Electronics
12.10.2 Wearable Medical Devices
12.10.3 Industrial Internet of Things
12.10.4 Others
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Neuromorphic AI Semiconductor Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Neuromorphic AI Semiconductor Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Neuromorphic AI Semiconductor Market Size Forecast by Type
13.6.1 Image Recognition
13.6.2 Signal Recognition
13.6.3 Data Mining
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Neuromorphic AI Semiconductor Market Size Forecast by Applications
13.10.1 Consumer Electronics
13.10.2 Wearable Medical Devices
13.10.3 Industrial Internet of Things
13.10.4 Others
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Neuromorphic AI Semiconductor Market: Competitive Dashboard
14.2 Global Neuromorphic AI Semiconductor Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Intel Corporation
14.3.2 IBM Corporation
14.3.3 Eta Compute
14.3.4 nepes
14.3.5 GrAI Matter Labs
14.3.6 GyrFalcon
14.3.7 aiCTX
14.3.8 BrainChip Holdings
14.3.9 Intel Corporation
