Global Neuromorphic Computing Market Outlook to 2027 – Emerging Automation-Related Applications Present Opportunities –

DUBLIN–(BUSINESS WIRE)–The “Global Neuromorphic Computing Market (2022-2027) Report by Components, Deployment, Application, Industry, Geography, Competitive Analysis, and Covid-19 Impact with Ansoff Analysis” has been added to from offer.

The Global Neuromorphic Computing Market is estimated to be valued at USD 34.23 Billion in 2022 and is projected to reach USD 225.52 Billion by 2027, growing at a CAGR of 45.8%.

Market dynamics are forces that are impacting pricing and stakeholder behaviors in the global Neuromorphic Computing market. These forces create price signals that result from changes in the supply and demand curves for a given product or service. The forces of market dynamics can be related to macro-economic and micro-economic factors. There are dynamic market forces other than price, demand and supply. Human emotions can also drive decisions, influence the market and create price signals.

As market dynamics impact supply and demand curves, policymakers aim to determine how best to use various financial tools to stem various strategies aimed at accelerating growth and reducing risk.

Competitive quadrant

The report includes Competitive Quadrant, a proprietary tool to analyze and assess the position of companies based on their industry position score and market performance score. The tool uses various factors to classify players into four categories. Some of these factors considered for analysis are financial performance over the past 3 years, growth strategies, innovation score, new product launches, investments, market share growth, etc

Ansoff analysis

The report presents a detailed analysis of the Ansoff Matrix for the global neuromorphic computing market. Ansoff Matrix, also known as Product/Market Expansion Grid, is a strategic tool used to design business growth strategies. The matrix can be used to assess approaches in four strategies viz. Market development, market penetration, product development and diversification. The matrix is ​​also used for risk analysis to understand the risk associated with each approach.

The analyst analyzes the global neuromorphic computing market using the Ansoff Matrix to provide the best approaches a company can take to improve its position in the market.

Based on the SWOT analysis conducted on the industry and industry players, the analyst has designed appropriate strategies for market growth.

Why buy this report?

  • The report offers a comprehensive assessment of the global neuromorphic computing market. The report includes in-depth qualitative analysis, verifiable data from authentic sources, and market size projections. Projections are calculated using proven research methodologies.

  • The report has been compiled through extensive primary and secondary research. The main research is done through interviews, surveys and observations of renowned personnel in the industry.

  • The report includes in-depth market analysis using Porter’s 5 forces model and Ansoff’s matrix. Additionally, the impact of Covid-19 on the market is also presented in the report.

  • The report also includes the regulatory scenario in the industry, which will help you to make an informed decision. The report discusses the major regulatory bodies and major rules and regulations imposed on this industry across various geographies.

  • The report also contains competitive analysis using Positioning Quadrants, the analyst’s proprietary competitive positioning tool.

Market dynamics


  • Need for a more efficient ICS

  • Increase in demand for artificial intelligence and machine learning


  • Lack of R&D and investment slows development of real applications

  • Complex algorithms increase the complexity of neuromorphic chip hardware design

  • Lack of knowledge about neuromorphic computing


  • Emerging Automation Applications

  • Adoption of neuromorphic computing for security purposes

  • Growing potential of AI and neuromorphic computing in medical sciences and medical imaging


  • Applications dependent on neural hardware software compatibility

  • Matching a human’s flexibility and ability to learn from unstructured stimulus data

Market segmentation

The global neuromorphic computing market is segmented on the basis of component, deployment, application, industry, and geography.

  • By Components, the market is categorized into hardware and software.

  • By Deployment, the market is categorized into Edge Computing and Cloud Computing.

  • By Application, the market is categorized into image recognition, signal recognition and data mining.

  • By Industry, the market is categorized into aerospace & defense, IT & telecommunications, automotive, medical, industrial, and others.

  • By Geography, the market is categorized into Americas, Europe, Middle East & Africa, and Asia-Pacific.

Companies cited

  • Applied Brain Research Inc.

  • Aspinity Inc.

  • Brainchip Holdings Ltd Ceryx Medical

  • Cognition

  • General Vision Inc

  • Hewlett Packard Enterprise HRL Laboratories LLC IBM Corp Innatera Nanosystem Intel Corp Koniku

  • mental labyrinth

  • Neuropace natural intelligence system

  • Number

  • Qualcomm

  • Samasung Electronics Ltd.

  • Vicarious

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Sherry J. Basler