The Neuromorphic Computing Market size was evaluated USD 4.34 billion in 2022 and is expected to hit USD 20.26 billion by 2030 and growing at a CAGR of 21.24 % by 2023-2030.
Neuromorphic computing involves designing computers that mimic the systems found in the human brain and nervous system. Inspired by the immense potential and capabilities of the human brain, this field aims to create computing systems that can perform as effectively as the human brain, all while requiring minimal space for software deployment. One significant advancement in this area is the development of the Artificial Neural Network model (ANN), which has reignited scientists' interest in exploring the possibilities of neuromorphic computing.
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The installation of Artificial Neural Networks (ANN), which are made up of millions of artificial neurons, is the first step in the functioning of neuromorphic computing-enabled devices. These neurons are as same as human neurons found in the human brain. Neuromorphic computers are distinguished by their fast reaction system and high-speed processing. When compared to conventional computers, neuromorphic computers are meant to work similarly to the human brain, and their quick reaction mechanism is a significant benefit.
Drivers
Because of the rising need for artificial intelligence and machine learning technologies, the neuromorphic computing sector is expanding.
Neuromorphic computers offer portability and occupy significantly less space when compared to their traditional counterparts.
When integrated with artificial intelligence and machine learning, neuromorphic technology has the potential to revolutionize defense systems by increasing processing power and aiding quick decision-making during combat. Moreover, this cutting-edge technology offers remarkable energy efficiency, enabling the development of highly mobile, enduring, and portable devices that can be deployed by soldiers on the battlefield.
Restrains
Real-world application deployment is being slowed due to a lack of R&D spending.
Neuromorphic computers require extensive R&D for the creation of software and hardware. Existing technologies, however, have imposed significant constraints on the development of hardware and software. Algorithms can only be written for a limited set of hardware. Any new hardware design renders the previous algorithms obsolete. Furthermore, scientists are investigating other forms of neural hardware design, including spin-based, phase-change, and memristor. To execute programs, each sort of development necessitates the use of specialized algorithms.
Opportunities
Rising number of cross-industry alliances and partnerships
increased use of software in neuromorphic computing, and increased need for higher-performance integrated circuits (ICs).
Challenges
A scarcity of highly skilled manual data labelers
Lack of understanding of neuromorphic computing
Ukraine and Russia are significant players in the global semiconductor industry. The conflict could have disrupted supply chains, leading to shortages of essential components used in Neuromorphic Computing systems. This may have resulted in delayed production and increased costs for Neuromorphic Computing devices.
conflict or geopolitical tension creates uncertainty in the international markets. Businesses might have been cautious about investing in new technologies, including Neuromorphic Computing, due to uncertain economic conditions caused by the war. Universities, research institutions, and companies in the affected regions (Ukraine and Russia) might have faced challenges in carrying out research and development activities related to Neuromorphic Computing. The redirection of resources towards other priorities, such as defense or recovery efforts, could have impacted technological advancements in the field. Countries might have imposed export and trade restrictions on certain technologies, including Neuromorphic Computing-related hardware or software, as part of sanctions during the conflict. These restrictions could have limited the availability of Neuromorphic Computing products in certain markets. Investors might have been cautious about investing in companies involved in the Neuromorphic Computing sector due to geopolitical risks associated with the conflict. This could have affected funding for startups and research projects in the field.
Impact of the Recession
The impact of a recession on the Neuromorphic Computing Market would depend on various factors, during a recession, overall economic activity tends to slow down, leading to reduced investment and spending. This could result in a slower growth rate for the Neuromorphic Computing Market, as companies and individuals may delay or scale back their adoption of this technology due to financial constraints. Recessions often lead to tighter credit conditions and reduced access to capital for businesses. Start-ups and smaller companies in the neuromorphic computing space, which heavily rely on funding, may face challenges in securing investment or obtaining loans. This could hinder their ability to develop and commercialize neuromorphic computing solutions. Recessions typically lead to cost-cutting measures, which can impact research and development (R&D) budgets. Companies and organizations involved in neuromorphic computing may reduce or postpone their R&D efforts, which could slow down innovation and the introduction of new products or technologies to the market. During a recession, organizations and consumers may prioritize cost reduction and risk mitigation over investing in emerging technologies. This could impact the demand for neuromorphic computing solutions, as potential customers may prioritize more immediate needs and delay or cancel their adoption plans.
By Component
Hardware
Software
By Application
Signal Processing
Image Processing
Data Processing
Object Detection
Others
By Deployment
Edge
Cloud
By End-Use
Consumer Electronics
Automotive
Healthcare
Military & Defense
Others
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Over the projected period, North America will lead the market. The presence of key players such as Qualcomm Incorporated, Intel Corporation, and IBM Corporation, growing demand for AI-based applications, rising adoption in Mexico, Canada, and the United States, booming industry verticals such as consumer electronics, robotics technology, aerospace and defense, and consumer acceptance for new technologies are all contributing to the region's global neuromorphic computing market growth. Europe is expected to grow continuously throughout the forecast period. Several groups and organizations in Europe are aiming to further the research and deployment of neuromorphic computing technologies. Furthermore, the growing usage of biometry in European nations is opening up an entirely new implementation area for neuromorphic computing image processing applications. Overall, Europe is a major participant in the field of neuromorphic computing, with several chances for organizations and academics to participate in this interesting and fast-expanding technology.
REGIONAL COVERAGE:
North America
US
Canada
Mexico
Europe
Eastern Europe
Poland
Romania
Hungary
Turkey
Rest of Eastern Europe
Western Europe
Germany
France
UK
Italy
Spain
Netherlands
Switzerland
Austria
Rest of Western Europe
Asia Pacific
China
India
Japan
South Korea
Vietnam
Singapore
Australia
Rest of Asia Pacific
Middle East & Africa
Middle East
UAE
Egypt
Saudi Arabia
Qatar
Rest of Middle East
Africa
Nigeria
South Africa
Rest of Africa
Latin America
Brazil
Argentina
Colombia
Rest of Latin America
The major players are General Vision, Inc., Samsung Electronics Co., Ltd, Brain Corporation, HRL Laboratories LLC, Knowm Inc., BrainChip Holdings Ltd., International Business Machines Corporation, Hewlett Packard Company, Intel Corporation, CEA-Leti, Qualcomm Technologies, Inc, Vicarious FPC, Inc., Applied Brain Research Inc., and others in the final report.
In January 2023, IBM will deliver an energy-efficient AI processor built on 7nm technology. The AI hardware accelerator device supports a wide range of model types while consuming very little power. By putting training closer to the edge and data closer to the source, the chip technology may be scaled and utilized for commercial applications such as training large-scale models in the cloud for security and privacy initiatives.
| Report Attributes | Details |
| Market Size in 2022 | US$ 4.34 Bn |
| Market Size by 2030 | US$ 20.26 Bn |
| CAGR | CAGR of 21.24% From 2023 to 2030 |
| Base Year | 2022 |
| Forecast Period | 2023-2030 |
| Historical Data | 2020-2021 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Component (Hardware, Software) • By Application (Signal Processing, Image Processing, Data Processing, Object Detection, Others) • By Deployment (Edge, Cloud) • By End-Use (Consumer Electronics, Automotive, Healthcare, Military & Defense, Others) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]). Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia Rest of Latin America) |
| Company Profiles | General Vision, Inc., Samsung Electronics Co., Ltd, Brain Corporation, HRL Laboratories LLC, Knowm Inc., BrainChip Holdings Ltd., International Business Machines Corporation, Hewlett Packard Company, Intel Corporation, CEA-Leti, Qualcomm Technologies, Inc, Vicarious FPC, Inc., Applied Brain Research Inc. |
| Key Drivers | • Neuromorphic computers offer portability and occupy significantly less space when compared to their traditional counterparts. |
| Market Restraints | • Real-world application deployment is being slowed due to a lack of R&D spending |
Ans: The North American region is dominating the Neuromorphic Computing Market.
Ans: The Neuromorphic Computing Market is to grow at a CAGR of 21.24% Over the forecast period of 2023-2030.
Ans: The Neuromorphic Computing Market size was valued at USD 4341.21 Mn in 2022.
Ans. The forecast period for the Neuromorphic Computing Market is 2023-2030.
Ans. There are four segments cover in this report, By Component, By Application, By Deployment, By End-Use.
Table of Contents
1. Introduction
1.1 Market Definition
1.2 Scope
1.3 Research Assumptions
2. Research Methodology
3. Market Dynamics
3.1 Drivers
3.2 Restraints
3.3 Opportunities
3.4 Challenges
4. Impact Analysis
4.1 Impact of Russia-Ukraine War
4.2 Impact of Ongoing Recession
4.2.1 Introduction
4.2.2 Impact on major economies
4.2.2.1 US
4.2.2.2 Canada
4.2.2.3 Germany
4.2.2.4 France
4.2.2.5 United Kingdom
4.2.2.6 China
4.2.2.7 japan
4.2.2.8 South Korea
4.2.2.9 Rest of the World
5. Value Chain Analysis
6. Porter’s 5 forces model
7. PEST Analysis
8. Neuromorphic Computing Market Segmentation, By Component
8.1 Hardware
8.2 Software
9. Neuromorphic Computing Market Segmentation, By Application
9.1 Signal Processing
9.2 Image Processing
9.3 Data Processing
9.4 Object Detection
9.5 Others
10. Neuromorphic Computing Market Segmentation, By Deployment
10.1 Edge
10.2 Cloud
11. Neuromorphic Computing Market Segmentation, By End-Use
11.1 Consumer Electronics
11.2 Automotive
11.3 Healthcare
11.4 Military & Defense
11.5 Others
12. Regional Analysis
12.1 Introduction
12.2 North America
12.2.1 North America Neuromorphic Computing Market By Country
12.2.2 North America Neuromorphic Computing Market By Component
12.2.3 North America Neuromorphic Computing Market By Application
12.2.4 North America Neuromorphic Computing Market By Deployment
12.2.5 North America Neuromorphic Computing Market By End-Use
12.2.6 USA
12.2.6.1 USA Neuromorphic Computing Market By Component
12.2.6.2 USA Neuromorphic Computing Market By Application
12.2.6.3 USA Neuromorphic Computing Market By Deployment
12.2.6.4 USA Neuromorphic Computing Market By End-Use
12.2.7 Canada
12.2.7.1 Canada Neuromorphic Computing Market By Component
12.2.7.2 Canada Neuromorphic Computing Market By Application
12.2.7.3 Canada Neuromorphic Computing Market By Deployment
12.2.7.4 Canada Neuromorphic Computing Market By End-Use
12.2.8 Mexico
12.2.8.1 Mexico Neuromorphic Computing Market By Component
12.2.8.2 Mexico Neuromorphic Computing Market By Application
12.2.8.3 Mexico Neuromorphic Computing Market By Deployment
12.2.8.4 Mexico Neuromorphic Computing Market By End-Use
12.3 Europe
12.3.1 Eastern Europe
12.3.1.1 Eastern Europe Neuromorphic Computing Market By Country
12.3.1.2 Eastern Europe Neuromorphic Computing Market By Component
12.3.1.3 Eastern Europe Neuromorphic Computing Market By Application
12.3.1.4 Eastern Europe Neuromorphic Computing Market By Deployment
12.3.1.5 Eastern Europe Neuromorphic Computing Market By End-Use
12.3.1.6 Poland
12.3.1.6.1 Poland Neuromorphic Computing Market By Component
12.3.1.6.2 Poland Neuromorphic Computing Market By Application
12.3.1.6.3 Poland Neuromorphic Computing Market By Deployment
12.3.1.6.4 Poland Neuromorphic Computing Market By End-Use
12.3.1.7 Romania
12.3.1.7.1 Romania Neuromorphic Computing Market By Component
12.3.1.7.2 Romania Neuromorphic Computing Market By Application
12.3.1.7.3 Romania Neuromorphic Computing Market By Deployment
12.3.1.7.4 Romania Neuromorphic Computing Market By End-Use
12.3.1.8 Hungary
12.3.1.8.1 Hungary Neuromorphic Computing Market By Component
12.3.1.8.2 Hungary Neuromorphic Computing Market By Application
12.3.1.8.3 Hungary Neuromorphic Computing Market By Deployment
12.3.1.8.4 Hungary Neuromorphic Computing Market By End-Use
12.3.1.9 Turkey
12.3.1.9.1 Turkey Neuromorphic Computing Market By Component
12.3.1.9.2 Turkey Neuromorphic Computing Market By Application
12.3.1.9.3 Turkey Neuromorphic Computing Market By Deployment
12.3.1.9.4 Turkey Neuromorphic Computing Market By End-Use
12.3.1.10 Rest of Eastern Europe
12.3.1.10.1 Rest of Eastern Europe Neuromorphic Computing Market By Component
12.3.1.10.2 Rest of Eastern Europe Neuromorphic Computing Market By Application
12.3.1.10.3 Rest of Eastern Europe Neuromorphic Computing Market By Deployment
12.3.1.10.4 Rest of Eastern Europe Neuromorphic Computing Market By End-Use
12.3.2 Western Europe
12.3.2.1 Western Europe Neuromorphic Computing Market By Country
12.3.2.2 Western Europe Neuromorphic Computing Market By Component
12.3.2.3 Western Europe Neuromorphic Computing Market By Application
12.3.2.4 Western Europe Neuromorphic Computing Market By Deployment
12.3.2.5 Western Europe Neuromorphic Computing Market By End-Use
12.3.2.6 Germany
12.3.2.6.1 Germany Neuromorphic Computing Market By Component
12.3.2.6.2 Germany Neuromorphic Computing Market By Application
12.3.2.6.3 Germany Neuromorphic Computing Market By Deployment
12.3.2.6.4 Germany Neuromorphic Computing Market By End-Use
12.3.2.7 France
12.3.2.7.1 France Neuromorphic Computing Market By Component
12.3.2.7.2 France Neuromorphic Computing Market By Application
12.3.2.7.3 France Neuromorphic Computing Market By Deployment
12.3.2.7.4 France Neuromorphic Computing Market By End-Use
12.3.2.8 UK
12.3.2.8.1 UK Neuromorphic Computing Market By Component
12.3.2.8.2 UK Neuromorphic Computing Market By Application
12.3.2.8.3 UK Neuromorphic Computing Market By Deployment
12.3.2.8.4 UK Neuromorphic Computing Market By End-Use
12.3.2.9 Italy
12.3.2.9.1 Italy Neuromorphic Computing Market By Component
12.3.2.9.2 Italy Neuromorphic Computing Market By Application
12.3.2.9.3 Italy Neuromorphic Computing Market By Deployment
12.3.2.9.4 Italy Neuromorphic Computing Market By End-Use
12.3.2.10 Spain
12.3.2.10.1 Spain Neuromorphic Computing Market By Component
12.3.2.10.2 Spain Neuromorphic Computing Market By Application
12.3.2.10.3 Spain Neuromorphic Computing Market By Deployment
12.3.2.10.4 Spain Neuromorphic Computing Market By End-Use
12.3.2.11 Netherlands
12.3.2.11.1 Netherlands Neuromorphic Computing Market By Component
12.3.2.11.2 Netherlands Neuromorphic Computing Market By Application
12.3.2.11.3 Netherlands Neuromorphic Computing Market By Deployment
12.3.2.11.4 Netherlands Neuromorphic Computing Market By End-Use
12.3.2.12 Switzerland
12.3.2.12.1 Switzerland Neuromorphic Computing Market By Component
12.3.2.12.2 Switzerland Neuromorphic Computing Market By Application
12.3.2.12.3 Switzerland Neuromorphic Computing Market By Deployment
12.3.2.12.4 Switzerland Neuromorphic Computing Market By End-Use
12.3.2.13 Austria
12.3.2.13.1 Austria Neuromorphic Computing Market By Component
12.3.2.13.2 Austria Neuromorphic Computing Market By Application
12.3.2.13.3 Austria Neuromorphic Computing Market By Deployment
12.3.2.13.4 Austria Neuromorphic Computing Market By End-Use
12.3.2.14 Rest of Western Europe
12.3.2.14.1 Rest of Western Europe Neuromorphic Computing Market By Component
12.3.2.14.2 Rest of Western Europe Neuromorphic Computing Market By Application
12.3.2.14.3 Rest of Western Europe Neuromorphic Computing Market By Deployment
12.3.2.14.4 Rest of Western Europe Neuromorphic Computing Market By End-Use
12.4 Asia-Pacific
12.4.1 Asia Pacific Neuromorphic Computing Market By Country
12.4.2 Asia Pacific Neuromorphic Computing Market By Component
12.4.3 Asia Pacific Neuromorphic Computing Market By Application
12.4.4 Asia Pacific Neuromorphic Computing Market By Deployment
12.4.5 Asia Pacific Neuromorphic Computing Market By End-Use
12.4.6 China
12.4.6.1 China Neuromorphic Computing Market By Component
12.4.6.2 China Neuromorphic Computing Market By Application
12.4.6.3 China Neuromorphic Computing Market By Deployment
12.4.6.4 China Neuromorphic Computing Market By End-Use
12.4.7 India
12.4.7.1 India Neuromorphic Computing Market By Component
12.4.7.2 India Neuromorphic Computing Market By Application
12.4.7.3 India Neuromorphic Computing Market By Deployment
12.4.7.4 India Neuromorphic Computing Market By End-Use
12.4.8 Japan
12.4.8.1 Japan Neuromorphic Computing Market By Component
12.4.8.2 Japan Neuromorphic Computing Market By Application
12.4.8.3 Japan Neuromorphic Computing Market By Deployment
12.4.8.4 Japan Neuromorphic Computing Market By End-Use
12.4.9 South Korea
12.4.9.1 South Korea Neuromorphic Computing Market By Component
12.4.9.2 South Korea Neuromorphic Computing Market By Application
12.4.9.3 South Korea Neuromorphic Computing Market By Deployment
12.4.9.4 South Korea Neuromorphic Computing Market By End-Use
12.4.10 Vietnam
12.4.10.1 Vietnam Neuromorphic Computing Market By Component
12.4.10.2 Vietnam Neuromorphic Computing Market By Application
12.4.10.3 Vietnam Neuromorphic Computing Market By Deployment
12.4.10.4 Vietnam Neuromorphic Computing Market By End-Use
12.4.11 Singapore
12.4.11.1 Singapore Neuromorphic Computing Market By Component
12.4.11.2 Singapore Neuromorphic Computing Market By Application
12.4.11.3 Singapore Neuromorphic Computing Market By Deployment
12.4.11.4 Singapore Neuromorphic Computing Market By End-Use
12.4.12 Australia
12.4.12.1 Australia Neuromorphic Computing Market By Component
12.4.12.2 Australia Neuromorphic Computing Market By Application
12.4.12.3 Australia Neuromorphic Computing Market By Deployment
12.4.12.4 Australia Neuromorphic Computing Market By End-Use
12.4.13 Rest of Asia-Pacific
12.4.13.1 Rest of Asia-Pacific Neuromorphic Computing Market By Component
12.4.13.2 Rest of Asia-Pacific Neuromorphic Computing Market By Application
12.4.13.3 Rest of Asia-Pacific Neuromorphic Computing Market By Deployment
12.4.13.4 Rest of Asia-Pacific Neuromorphic Computing Market By End-Use
12.5 Middle East & Africa
12.5.1 Middle East
12.5.1.1 Middle East Neuromorphic Computing Market By Country
12.5.1.2 Middle East Neuromorphic Computing Market By Component
12.5.1.3 Middle East Neuromorphic Computing Market By Application
12.5.1.4 Middle East Neuromorphic Computing Market By Deployment
12.5.1.5 Middle East Neuromorphic Computing Market By End-Use
12.5.1.6 UAE
12.5.1.6.1 UAE Neuromorphic Computing Market By Component
12.5.1.6.2 UAE Neuromorphic Computing Market By Application
12.5.1.6.3 UAE Neuromorphic Computing Market By Deployment
12.5.1.6.4 UAE Neuromorphic Computing Market By End-Use
12.5.1.7 Egypt
12.5.1.7.1 Egypt Neuromorphic Computing Market By Component
12.5.1.7.2 Egypt Neuromorphic Computing Market By Application
12.5.1.7.3 Egypt Neuromorphic Computing Market By Deployment
12.5.1.7.4 Egypt Neuromorphic Computing Market By End-Use
12.5.1.8 Saudi Arabia
12.5.1.8.1 Saudi Arabia Neuromorphic Computing Market By Component
12.5.1.8.2 Saudi Arabia Neuromorphic Computing Market By Application
12.5.1.8.3 Saudi Arabia Neuromorphic Computing Market By Deployment
12.5.1.8.4 Saudi Arabia Neuromorphic Computing Market By End-Use
12.5.1.9 Qatar
12.5.1.9.1 Qatar Neuromorphic Computing Market By Component
12.5.1.9.2 Qatar Neuromorphic Computing Market By Application
12.5.1.9.3 Qatar Neuromorphic Computing Market By Deployment
12.5.1.9.4 Qatar Neuromorphic Computing Market By End-Use
12.5.1.10 Rest of Middle East
12.5.1.10.1 Rest of Middle East Neuromorphic Computing Market By Component
12.5.1.10.2 Rest of Middle East Neuromorphic Computing Market By Application
12.5.1.10.3 Rest of Middle East Neuromorphic Computing Market By Deployment
12.5.1.10.4 Rest of Middle East Neuromorphic Computing Market By End-Use
12.5.2. Africa
12.5.2.1 Africa Neuromorphic Computing Market By Country
12.5.2.2 Africa Neuromorphic Computing Market By Component
12.5.2.3 Africa Neuromorphic Computing Market By Application
12.5.2.4 Africa Neuromorphic Computing Market By Deployment
12.5.2.5 Africa Neuromorphic Computing Market By End-Use
12.5.2.6 Nigeria
12.5.2.6.1 Nigeria Neuromorphic Computing Market By Component
12.5.2.6.2 Nigeria Neuromorphic Computing Market By Application
12.5.2.6.3 Nigeria Neuromorphic Computing Market By Deployment
12.5.2.6.4 Nigeria Neuromorphic Computing Market By End-Use
12.5.2.7 South Africa
12.5.2.7.1 South Africa Neuromorphic Computing Market By Component
12.5.2.7.2 South Africa Neuromorphic Computing Market By Application
12.5.2.7.3 South Africa Neuromorphic Computing Market By Deployment
12.5.2.7.4 South Africa Neuromorphic Computing Market By End-Use
12.5.2.8 Rest of Africa
12.5.2.8.1 Rest of Africa Neuromorphic Computing Market By Component
12.5.2.8.2 Rest of Africa Neuromorphic Computing Market By Application
12.5.2.8.3 Rest of Africa Neuromorphic Computing Market By Deployment
12.5.2.8.4 Rest of Africa Neuromorphic Computing Market By End-Use
12.6. Latin America
12.6.1 Latin America Neuromorphic Computing Market By Country
12.6.2 Latin America Neuromorphic Computing Market By Component
12.6.3 Latin America Neuromorphic Computing Market By Application
12.6.4 Latin America Neuromorphic Computing Market By Deployment
12.6.5 Latin America Neuromorphic Computing Market By End-Use
12.6.6 Brazil
12.6.6.1 Brazil Neuromorphic Computing Market By Component
12.6.6.2 Brazil Neuromorphic Computing Market By Application
12.6.6.3 Brazil Neuromorphic Computing Market By Deployment
12.6.6.4 Brazil Neuromorphic Computing Market By End-Use
12.6.7 Argentina
12.6.7.1 Argentina Neuromorphic Computing Market By Component
12.6.7.2 Argentina Neuromorphic Computing Market By Application
12.6.7.3 Argentina Neuromorphic Computing Market By Deployment
12.6.7.4 Argentina Neuromorphic Computing Market By End-Use
12.6.8 Colombia
12.6.8.1 Colombia Neuromorphic Computing Market By Component
12.6.8.2 Colombia Neuromorphic Computing Market By Application
12.6.8.3 Colombia Neuromorphic Computing Market By Deployment
12.6.8.4 Colombia Neuromorphic Computing Market By End-Use
12.6.9 Rest of Latin America
12.6.9.1 Rest of Latin America Neuromorphic Computing Market By Component
12.6.9.2 Rest of Latin America Neuromorphic Computing Market By Application
12.6.9.3 Rest of Latin America Neuromorphic Computing Market By Deployment
12.6.9.4 Rest of Latin America Neuromorphic Computing Market By End-Use
13 Company Profile
13.1 General Vision, Inc.
13.1.1 Company Overview
13.1.2 Financials
13.1.3 Product/Services/Offerings
13.1.4 SWOT Analysis
13.1.5 The SNS View
13.2 Samsung Electronics Co., Ltd.
13.2.1 Company Overview
13.2.2 Financials
13.2.3 Product/Services/Offerings
13.2.4 SWOT Analysis
13.2.5 The SNS View
13.3 Brain Corporation.
13.3.1 Company Overview
13.3.2 Financials
13.3.3 Product/Services/Offerings
13.3.4 SWOT Analysis
13.3.5 The SNS View
13.4 HRL Laboratories LLC.
13.4.1 Company Overview
13.4.2 Financials
13.4.3 Product/Services/Offerings
13.4.4 SWOT Analysis
13.4.5 The SNS View
13.5 Knowm Inc.
13.5.1 Company Overview
13.5.2 Financials
13.5.3 Product/Services/Offerings
13.5.4 SWOT Analysis
13.5.5 The SNS View
13.6 BrainChip Holdings Ltd.
13.6.1 Company Overview
13.6.2 Financials
13.6.3 Product/Services/Offerings
13.6.4 SWOT Analysis
13.6.5 The SNS View
13.7 International Business Machines Corporation.
13.7.1 Company Overview
13.7.2 Financials
13.7.3 Product/Services/Offerings
13.7.4 SWOT Analysis
13.7.5 The SNS View
13.8 Hewlett Packard Company.
13.8.1 Company Overview
13.8.2 Financials
13.8.3 Product/Services/Offerings
13.8.4 SWOT Analysis
13.8.5 The SNS View
13.9 Intel Corporation.
13.9.1 Company Overview
13.9.2 Financials
13.9.3 Product/Services/Offerings
13.9.4 SWOT Analysis
13.9.5 The SNS View
13.10 Qualcomm Technologies, Inc.
13.10.1 Company Overview
13.10.2 Financials
13.10.3 Product/Services/Offerings
13.10.4 SWOT Analysis
13.10.5 The SNS View
14. Competitive Landscape
14.1 Competitive Benchmarking
14.2 Market Share Analysis
14.3 Recent Developments
15. USE Cases and Best Practices
16. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
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The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
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This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
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Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
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Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
The Digital MRO Market size was valued at USD 2.22 Bn in 2022 and is expected to reach USD 6.85 Bn by 2030, and grow at a CAGR of 15.13% over the forecast period 2023-2030.
The Biometric Payment Market size was USD 0.096 billion in 2022 and is expected to Reach USD 4.66 billion by 2030 and grow at a CAGR of 62.5 % over the forecast period of 2023-2030.
The Fleet Management Software Market size was valued at USD 22.38 billion in 2022 and is expected to grow to USD 80.26 billion by 2030 and grow at a CAGR of 17.31 % over the forecast period of 2023-2030.
The Data Science Platform market size was valued at USD 7.97 Bn in 2022 and is expected to reach USD 46.56 Bn by 2030, and grow at a CAGR of 24.67% over the forecast period 2023-2030.
The DDoS Protection and Mitigation Market size was USD 4.0 billion in 2022 and is expected to Reach USD 10.8 billion by 2030 and grow at a CAGR of 13.3 % over the forecast period of 2023-2030.
The Law Enforcement Software Market size was USD 15.2 billion in 2022 and is expected to Reach USD 31.1 billion by 2030 and grow at a CAGR of 9.4% over the forecast period of 2023-2030.
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