Market Overview: Neuromorphic Computing Market FY24-30

This reports provides an essential and dependable overview of the Neuromorphic Computing Market, serving as a guide for stakeholders navigating the industry’s future trajectory. It covers critical aspects, guiding through challenges and opportunities, shedding light on the market landscape, key insights, driving forces, major competitors, regulatory framework, potential growth, ongoing trends, supply chain dynamics, evolving policies, segments and prominent players.

Neuromorphic Computing Market Report Coverage Details:

Base Year: 2023
Historical Data: 2019-22
Forecast Period: 2024-2030
CAGR: 81.1% (2024-2030)

The Global Neuromorphic Computing Market is estimated to grow at a CAGR of around 81.1% during the forecast period, i.e., 2024-30.

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Neuromorphic Computing Market Opportunity:

Development of Real-time Training Algorithm for Neuromorphic Computing – The development of a real-time training algorithm for neuromorphic chips presents a significant opportunity for the growth of the Global Neuromorphic Computing Market. Researchers have been constantly focussing on the development of computing models that can learn from real-time inputs and improve their performance in data processing.

These training algorithms would be largely helpful in applications like autonomous vehicles, robotics, and AI systems in healthcare environments, where rapid decision-making & the ability to adapt to changing environments are critical. Consequently, the development of self-learning neuromorphic computing models would present significant growth in the expansion of the market in the coming years, as it is expected to enlarge the application areas of neuromorphic computing.

Neuromorphic Computing Market Segmentation Analysis – FY24-30

Discover a comprehensive evaluation of every segment and its subdivisions, allowing our clients to gain a deep understanding of the Neuromorphic Computing Market (2024-30). We prioritize uncovering the pivotal factors that presently drive and will shape the industry’s growth moving forward. Our goal is to empower our esteemed clients by optimizing their end-user positioning and revenue generation through a thorough analysis of market size, share and all the latest market scope across diverse segmentation categories.

The Neuromorphic Computing Market segmentation is enlisted below:

By Component

Hardware- Market Size & Forecast 2019-2030, USD Million
- Processor- Market Size & Forecast 2019-2030, USD Million
- Memory Modules- Market Size & Forecast 2019-2030, USD Million
Software- Market Size & Forecast 2019-2030, USD Million
Services- Market Size & Forecast 2019-2030, USD Million

By Deployment

Cloud Computing– Market Size & Forecast 2019-2030, USD Million
Edge Computing– Market Size & Forecast 2019-2030, USD Million

By Application

Image Recognition- Market Size & Forecast 2019-2030, USD Million
Signal Recognition- Market Size & Forecast 2019-2030, USD Million
Data Mining- Market Size & Forecast 2019-2030, USD Million
Others (Cognitive Computing, Neuroscience Research, etc.) – Market Size & Forecast 2019-2030, USD Million

By End User

Consumer Electronics- Market Size & Forecast 2019-2030, USD Million
IT & Telecommunication- Market Size & Forecast 2019-2030, USD Million
Aerospace & Defense- Market Size & Forecast 2019-2030, USD Million
Healthcare- Market Size & Forecast 2019-2030, USD Million
Industrial Manufacturing- Market Size & Forecast 2019-2030, USD Million
Automotive- Market Size & Forecast 2019-2030, USD Million
Others (BFSI, Education, etc.) – Market Size & Forecast 2019-2030, USD Million

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By Region

North America
South America
Europe
The Middle East & Africa
Asia-Pacific

Neuromorphic Computing Market Competitive Landscape

International Business Machines Corporation, Brain Corporation, Prophesee S.A., General Vision, inc, Hewlett Packard Company, Intel Corporation, Knowm Inc, Qualcomm Technologies, Inc, Samsung Electronics Co., Ltd, Silicon Storage Technology Inc., TECHiFAB GmbH, Applied Materials, Inc., Micron Technology, SK Hynix Inc., Other.

Neuromorphic Computing Industry News:

2023: BrainChip Holdings Ltd. teamed up with Lorser Industries Inc., a prominent system-level manufacturing & integration provider to utilize BrainChip’s Akida™ technology in developing AI-powered solutions for software-defined radio (SDR) devices.

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Key Report Highlights

Market Dimensions & Projections
Pricing Evaluation,
Recent Strategic Moves by Companies,
Primary Stakeholders,
Analysis of Import and Export Trends,
Competitive Landscape Assessment,
Emerging Opportunities,
Market Trends and Indicators

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