Global Quick Overview of the Neuromorphic Computing Market Analysis

The objective of the Global Neuromorphic Computing Market Research Report is to provide a detailed and useful data, and a geographical perspective for predictions of future. The recommendations included in the report are supposed to be insightful and actionable, offering a thorough understanding of the industry. Moreover, it includes a comprehensive table of contents, relevant data, and an analysis of numerous important aspects that have impacted the market.

According to the latest report analysis by MarkNtel Advisors, the Global Neuromorphic Computing Market is estimated to grow at a CAGR of around 81.1% during the forecast period, i.e., 2024-30. This detailed study provides a detailed overview of the current market state, including market trends, opportunities, along with the recent developments. In-depth analysis of market share, size, forecast, and competitive landscape is also covered in this report that presents a clear picture of the industry with relevant statistical data.

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Latest Opportunity Contributing in the Neuromorphic Computing Industry:

Global 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.

A Detailed Outlook of Neuromorphic Computing Market Segmentation

The Market Segmentation analysis provides and accurate data of the industry to help the analysts make smart strategic investment decisions. Also, the prediction of the market is included for national, and level in the research. The study analyses latest trends of the industry from 2024-30 for each of the category. Different segments were used to classify the market for this study are listed below:

-By Component

• Hardware- 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

Explore Our Comprehensive Study:  https://www.marknteladvisors.com/research-library/neuromorphic-computing-market.html

Geographical Analysis:

-By Region

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

Asia-Pacific has dominated the Global Neuromorphic Computing Market during the historical years. The major factor responsible for this noteworthy growth Is the presence of leading market players across countries like China, Switzerland, etc. Further, there are also a large number of startups coming across the Asia-Pacific region that have been significantly investing in the development & successful deployment of neuromorphic chips across different end-user sectors, including consumer electronics, healthcare, etc. For instance, in 2023, SynSense, which specializes in neuromorphic computing, secured an additional USD 10 million in capital following a successful Pre-B+ financing round. The funding, led by Hong Kong-based Ausvic Capital, would facilitate the accelerated mass production of their smart vision sensor, Speck, featuring an integrated neuromorphic AI processor. Therefore, with the entry of new market players & their constantly rising investment in the advancement of the neuromorphic computing industry, the market is poised to grow in the upcoming years as well.

Lead the Neuromorphic Computing Market with a Deep Evaluation of the Competition

This report also includes accurate facts, figures, and market data into income assessments, and projections in the industry by using a wide range of statistical tools and knowledge about the market by the experts. Each notable market participant has a SWOT evaluation, a profile and a complementary Porter’s Five Forces analysis.

Moreover, to take the benefits of new opportunities, dominating players have been constantly realigning their systems, and methods of operation. We also evaluate major businesses that are influences on a geographical scale along with the small and medium-sized businesses that plays crucial role and have substantial opportunity for expansion in order to accurately reflect the levels of market competition.

The details on the following key players is presented in this section as:

• 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.
• Others

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Global Neuromorphic Computing 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 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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