Neuromorphic computing is a type of computing that mimics the behavior of neurons in the human brain. This technology has the potential to revolutionize computing by enabling machines to learn and adapt like humans. Neuromorphic computing is becoming increasingly popular due to its potential to improve the performance of artificial intelligence (AI) and machine learning (ML) systems.

The global neuromorphic computing market size is expected to reach USD 3.8 billion by 2030, growing at a compound annual growth rate (CAGR) of 49.0% from 2022 to 2030.

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One of the major drivers of the neuromorphic computing market is the advancements in AI and ML. Neuromorphic computing can improve the performance of AI and ML systems by enabling them to learn and adapt like humans. This technology has the potential to significantly improve the accuracy and efficiency of AI and ML applications, which is driving its adoption in various industries.

Despite the promising potential of neuromorphic computing, there are several challenges that are hindering its growth. One of the major challenges is the lack of standardized development tools and software frameworks, which can limit its accessibility to a larger market. Additionally, the high cost of the technology and the complexity of the hardware can be a barrier to entry for smaller companies and startups.

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Some of the Key Players Operating in the Global Neuromorphic Computing Market include:

  • Applied Brain Research
  • BrainChip, Inc.
  • General Vision Inc
  • IBM
  • Intel Corporation
  • Numenta
  • Qualcomm Technologies, Inc.
  • Samsung Electronics Ltd
  • Other Market Participants

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Our 420+ Pages Report titled, Neuromorphic Computing Market will include extensive information on the following pointers:

  • Global market size and forecast values (2015 – 2030), in terms of revenue (US$ Million) and volume (Kilotons) by segments/sub-segments
  • Split of the market revenue (US$ Million) and Volume (Kilotons) into all the relevant segments & sub-segments across all major regions/countries.
  • Years Considered (2015 – 2030)
    • (Historic Years: 2015 – 2020
    • Base Year: 2021
    • Forecast Years: 2022 – 2030)
  • Market determinants and Influencing Factors
  • Market Dynamics (Drivers, Restraints, Opportunities and Trends)
  • Analysis on Impact of Covid-19 on Global Neuromorphic Computing Market
  • Macro-Economic and Micro-Economic Indicators
  • Porter’s Five Forces Analysis
  • Regulatory Landscape
  • PESTEL Analysis
  • Competitive Benchmarking: Global Presence and Growth Strategies
    • (Mergers and Acquisitions
    • Product Launches
    • Investments Trends
    • R&D Initiatives)
  • Market Share Analysis, 2021
  • Detailed profiles of major market participants operating in the market, encompassing information pertaining to Company Details, Company Overview, Product Offerings, Key Developments, Financial Analysis, SWOT Analysis and Business Strategies
  • Region specific report, including North America, Europe, Asia Pacific, Middle East & Africa and Latin America, can also be provided.
  • The reports can be provided in different languages including German, Korean, Arabic, Russian, French, Japanese, Spanish, Chinese and other languages.

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Global Neuromorphic Computing Market Segmentation:

By Offering

  • Hardware
  • Software

By Deployment

  • Edge
  • Cloud

By Application

  • Image Recognition and Retrieval
  • Signal Recognition
  • Data Mining
  • Others

By End User Industry

  • Automotive
  • Military and Defense
  • Healthcare
  • IT & Telecommunication
  • Aerospace
  • Others

By Geography

  • North America [U.S., Canada, Mexico]
  • Europe [Germany, UK, France, Italy, Rest of Europe]
  • Asia-Pacific [China, India, Japan, South Korea, Southeast Asia, Australia, Rest of Asia Pacific]
  • South America [Brazil, Argentina, Rest of Latin America]
  • Middle East & Africa [GCC, North Africa, South Africa, Rest of the Middle East and Africa]

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