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The Global Neuromorphic Computing Market is projected to grow from USD 0.023 billion in 2023 to USD 0.56 billion in 2030 at a CAGR of 88.7% during the forecast period from 2025 to 2030.

Neuromorphic computing is a method of computer engineering in which elements of a computer are modeled after systems in the human brain and nervous system which refers to the design of both hardware and software computing elements. Neuromorphic computing systems mimic the neural networks of the brain to perform complex cognitive tasks such as pattern recognition, decision-making and learning. Many factors are responsible for the growth of the Neuromorphic Computing Market include mimicking brain functionality in which neuromorphic computing seeks to imitate the design and operation of the human brain. Developments in Machine Learning (ML) and Artificial Intelligence (AI) also plays important role in fueling the market growth. Neuromorphic computing has the potential to analyze complicated data more quickly and energy-efficiently improve. Neuromorphic computing architectures that draw inspiration from the structure of the brain, have the potential to save a substantial amount of energy as compared to conventional computing systems. Energy cost of computing and increasing number of applications in which there are energy constraints is rising which is the major constraint of the neuromorphic computing market. 

Browse 61 market data Tables and 40 Figures spread through 205 Pages and in-depth TOC on Neuromorphic Computing Market By Offering (Hardware, Software and Services), By Deployment (Edge Computing and Cloud Computing), By Application (Image Recognition, Signal Recognition and Data Mining), By Vertical (Automotive, Consumer Electronics, Industrial, Medical, Aerospace, Military and Defense, IT & Telecommunications and Others) and By Geography (North America, Asia-Pacific, Europe and Rest of the World) - Global Forecast to 2030.

Global Neuromorphic Computing Market Segmentation and Key Players

By offering, software dominate the global neuromorphic computing market.

Software segment is projected to dominate the market share with the highest CAGR during the forecast period due as it is used in a spectrum of applications such as data modeling, prediction analysis continuous e-learning and real time data streaming.

“Asia Pacific is anticipated to register the fastest CAGR during the forecast period, i.e., 2025-2030 in the global neuromorphic computing market.”

Asia Pacific accounted for the largest revenue share as there is increase in adoption of AI, machine learning technologies and expansion of data centers across various cities in the region shall help in the growth of the market.

Key players of Neuromorphic Computing Market are IBM Corporation, Intel Corporation., BrainChip Holdings Ltd., Qualcomm Incorporated., Hewlett Packard Development LP., General Vision Inc., Applied Brain Research Inc., Samsung Electronics Ltd.

Recent Development by Key Players

Global neuromorphic computing market coverage (By Value)

• Offering Insight and Forecast 2025-2030
  • Hardware
  • Software
  • Services
• Deployment Insight and Forecast 2025-2030
  • Edge Computing
  • Cloud Computing
• Application Insight and Forecast 2025-2030
  • Image Recognition
  • Signal Recognition
  • Data mining
• Vertical Insight and Forecast 2025-2030
  • Automotive
  • Consumer Electronics
  • Industrial
  • Medical
  • Aerospace, Military and Defense
  • IT & Telecommunications
  • Others

Geographical Segmentation

Global Neuromorphic Computing Market by Region

• North America
  • U.S.
  • Canada
  • Mexico
• Europe
  • Germany
  • U.K.
  • France
  • Italy
  • Spain
  • Russia
  • Rest of Europe

• Asia-Pacific (APAC)
  • China
  • Japan
  • India
• Rest of the World
  • Brazil
  • Saudi Arabia
  • South Africa
  • U.A.E
  • Other Countries