MarkNtel Advisors recently published a detailed industry analysis of the Global Neuromorphic Computing. The report covers growth trends, geographical marketing strategies, challenges, opportunities, and drivers influencing the market.
Global Neuromorphic Computing, Share, and Trends Analysis Report – Industry Overview and Forecast to 2030
The Neuromorphic Computing Market is estimated to grow at a CAGR of around 81.1% during the forecast period, i.e., 2024-30.
Key Findings in Global Neuromorphic Computing:
Historical Analysis: 2019–2022
Base Year: 2023
Forecast Period: 2024–2030
Leading Market Players-
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
Key Highlights of the Report
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
What are the major Driver the Global Neuromorphic Computing industry?
Rising Demand for High-performance Integrated Circuits (ICs) – The limitations of reducing the size & number of transistors on integrated circuits (ICs) have been creating the demand for new-generation and highly effective neuromorphic chips across the globe. End-user industries like consumer electronics, automotive, etc., have been observed to prefer neuromorphic chips as they offer a substantial boost in processing power, enabling more complex computations & data handling in comparison to traditional chips.
Further, the IT industry, in recent years, has started looking for computing technologies that enable self-learning capacity & require minimum manual input. This has further led market players to introduce computing chips to better processing features to the IT industry. For instance:
In 2023, BrainChip Holdings Ltd teamed up with VVDN Technologies, a prominent electronics engineering and manufacturing firm, to introduce the industry’s inaugural Edge box based on neuromorphic technology. This Edge box harnesses BrainChip’s Akida™ processors, which mimic the human brain’s structure & functionality.
Therefore, with the increasing requirement for high-performance ICs, especially across the IT & Telecom sectors, neuromorphic chips are projected to witness improved demand in coming years as well.
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What segments define the Global Neuromorphic Computing from 2024 to 20230? How do these segments contribute to market dynamics and growth?
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
According to report, The Image Recognition segment has been dominating the Global Neuromorphic Computing Market over the historical years.
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
According to report, Consumer Electronics accounts for the potential share of the Global Neuromorphic Computing Market.
Explore the Complete Global Neuromorphic Computing Analysis Report – https://www.marknteladvisors.com/research-library/neuromorphic-computing-market.html
Geographical Analysis: Global Neuromorphic Computing Market
By Region
North America
South America
Europe
The Middle East & Africa
Asia-Pacific
Global Neuromorphic Computing Market Industry Recent Development:
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.
2022: International Business Machines Corporation scientists have introduced a breakthrough in neuromorphic computing, using “memtransistive” synapses, enabling AI hardware to mimic human-like object recognition & tackle complex mathematical problems across various applications. This advancement allows AI systems to efficiently handle tasks like recognizing dynamically changing objects, which can be challenging for traditional neural networks.
Key Questions Addressed in This Study
What are the primary factors driving the growth of the Global Neuromorphic Computing?
How is the Global Neuromorphic Computing expected to evolve over the next five years?
What key insights can be drawn from current trends shaping the market?
What is the current market size, and how is it forecasted to change in the coming years?
What is the future outlook for the market in terms of technological innovation and geographic expansion?
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Why MarkNtel Advisors?
MarkNtel Advisors is a leading research, consulting, & data analytics firm that provides an extensive range of strategic reports on diverse industry verticals. We deliver data to a substantial & varied client base, including multinational corporations, financial institutions, governments, & individuals, among others.
Our specialization in niche industries informed way and entail parameters like Go-to-Market (GTM), product development, feasibility analysis, project scoping, market segmentation, competitive benchmarking, market sizing & forecasting, & trend analysis, among others, for 15 diverse industrial verticals.
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