Recent Developments in Neuromorphic Computing: Intel, IBM, Qualcomm, Fujitsu, Sony, and Global Research Institutions Driving Innovation

The Global Neuromorphic Computing Market reached USD 48.3 million in 2022 and is projected to witness lucrative growth by reaching up to USD 6,801.9 million by 2030. The global neuromorphic computing market is expected to exhibit a CAGR of 91.5% during the forecast period (2024-2031).

The neuromorphic computing market revolves around hardware and systems modeled on the human brain's neural architecture, enabling advanced processing and learning capabilities. These systems aim to overcome limitations of traditional computing in terms of power efficiency and adaptability. Applications span AI, robotics, autonomous vehicles, and defense systems. Market growth is fueled by rising demand for energy-efficient chips to support AI workloads. Major players are developing neuromorphic processors using spiking neural networks. Advances in materials, such as memristors, are expected to revolutionize neuromorphic architectures.

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☛ Neuromorphic Computing Market Recent Developments 2025:

United States: Recent Industry Developments

✅ In August 2025, Intel launched next-generation neuromorphic chips, mimicking human brain functions for AI workloads.

✅ In July 2025, IBM expanded its neuromorphic computing research, enabling energy-efficient AI and pattern recognition applications.

✅ In June 2025, Qualcomm partnered with U.S. research centers to deploy neuromorphic hardware, accelerating real-time AI processing.

Europe: Recent Industry Developments

✅ In July 2025, STMicroelectronics introduced neuromorphic processors for robotics, autonomous vehicles, and IoT applications.

✅ In June 2025, Siemens AI Lab Europe expanded research in neuromorphic computing, focusing on energy-efficient AI algorithms.

✅ In May 2025, Fraunhofer Institute partnered with European tech firms to develop next-generation neuromorphic hardware, supporting edge AI.

Japan: Recent Industry Developments

✅ In July 2025, Fujitsu launched neuromorphic computing platforms for AI-driven industrial and healthcare solutions.

✅ In June 2025, NEC Corporation expanded brain-inspired computing research, improving energy efficiency in AI workloads.

✅ In May 2025, Sony partnered with Japanese tech institutions to implement neuromorphic computing systems, enhancing robotics and edge AI.

☛ Neuromorphic Computing Market Trends:

Neuromorphic computing involves hardware and software systems that mimic the human brain's neural structure to enable energy-efficient AI processing. Market growth is fueled by AI adoption, demand for edge computing, and energy-efficient high-performance computing applications.

Key trends include spiking neural networks, memristor-based hardware, and brain-inspired AI algorithms for robotics, autonomous vehicles, and IoT applications. North America and Europe lead due to advanced research and AI development, while Asia-Pacific is growing with semiconductor investments and AI-driven industrial applications. High R&D costs and technology standardization are challenges.

☛ Neuromorphic Computing Market Competitve Landscape:

Brain Corporation, CEA-Leti, General Vision, inc, Hewlett Packard Company, HRL Laboratories, LLC, International Business Machines Corporation, Intel Corporation, Knowm Inc, Qualcomm Technologies, Inc, and Samsung Electronics Co., Ltd among others.

Research Methodology

We follow a hybrid research approach, combining qualitative insights with rigorous quantitative analysis to deliver reliable and comprehensive market intelligence. Our process begins with extensive secondary research, drawing on trusted industry reports, proprietary databases, and credible market sources. This is then reinforced through targeted primary research, including structured surveys and in-depth interviews with industry leaders, subject matter experts, and key market participants.

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☛ Segment Covered in the Neuromorphic Computing Market:

By Offering (Hardware, Software)

By Deployment (Edge Computing, Cloud Computing)

By Application (Image Recognition, Signal Recognition, Data Mining, Others)

By End-user (Consumer Electronics, Automotive, IT & Telecom, Aerospace & Defense, Healthcare, Others)

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☛ Regional Analysis for Neuromorphic Computing Market:

⇥ North America (U.S., Canada, Mexico)

⇥ Europe (U.K., Italy, Germany, Russia, France, Spain, The Netherlands and Rest of Europe)

⇥ Asia-Pacific (India, Japan, China, South Korea, Australia, Indonesia Rest of Asia Pacific)

⇥ South America (Colombia, Brazil, Argentina, Rest of South America)

⇥ Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of Middle East & Africa)

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