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 Size, 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.

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 2030? 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.

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Geographical Analysis: Global Neuromorphic Computing

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

Global Neuromorphic Computing Share & Competitive Landscape:

The Neuromorphic Computing Market is characterized by intense competition, with several key players driving growth through innovation, market expansion, and strategic investments. The competitive landscape provides valuable insights into the industry's leading companies, highlighting their strengths, financial performance, and market influence.

Leading Companies in the Global Neuromorphic Computing are:

• 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.

Global Neuromorphic Computing Industry Recent Developments

• 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.

 Questions Addressed in this Study

1.What factors are driving the Global Neuromorphic Computing growth?

2.How is the Global Neuromorphic Computing expected to grow over the next five years?

3.What are the key insights into the current trends in the Global Neuromorphic Computing?

4.What is the current size of the Global Neuromorphic Computing, and how is it projected to change in the future?

6.What is the future outlook for the Global Neuromorphic Computing in terms of technological advancements and market 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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