Neuromorphic Computing Market Predicted to Expand at a CAGR of 21.24% over 2023-2030 Driven by Rising Need for AI and ML Technologies

Neuromorphic Computing Market Scope and Overview:

Since it provides a detailed market assessment across significant geographies like North America, Europe, Asia Pacific, Middle East, Latin America, and the Rest of the World, the study is helpful for existing companies, prospective entrants, and potential investors. The most recent Neuromorphic Computing Market analysis evaluates worldwide and regional market estimations and predictions for all of the segments covered within the research scope. The methodology estimates revenue using historical market data. This study covers market trends, leading firms, supply chain trends, technological advancements, key developments, and future business plans.

The Neuromorphic Computing Market data were created using both primary and secondary sources. The market size is calculated using sales revenue from each segment and sub segment included in the study's scope. The market sizing analysis employs both top-down and bottom-up approaches for data validation and accuracy checks. To provide a thorough and in-depth overview of the market, other aspects of the industry have been assessed, including the supply chain, downstream buyers, and sourcing strategy. Additionally, market positioning research, which considers factors like target consumer, brand strategy, and pricing plan, will be presented to study buyers.

"According to SNS Insider, the Neuromorphic Computing Market size was estimated at USD 4.34 Bn in 2022, and is expected to reach USD 20.26 Bn by 2030, with a growing healthy CAGR of 21.24% over the forecast period 2023-2030."

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Major Key Players Included are:

• General Vision Inc
• Samsung Electronics Co Ltd
• Brain Corporation
• HRL Laboratories LLC
• Knowm Inc
• BrainChip Holdings Ltd
• International Business Machines Corporation
• Hewlett Packard Company
• Intel Corporation
• CEA-Leti
• Qualcomm Technologies Inc
• Vicarious FPC Inc
• Applied Brain Research Inc
• Others

Market Segmentation:

As there is substantial capacity for expansion in the Neuromorphic Computing Market, there will be several opportunities for market participants to seize them. The study's segment analysis will help identify how each category will affect market growth over the coming years. The market report has segmented the market by type, application, end-use, and geography.

Market Segmentation and Sub-Segmentation included are:

By Component:
• Hardware
• Software

By Application:
• Signal Processing
• Image Processing
• Data Processing
• Object Detection
• Others

By Deployment:
• Edge
• Cloud

By End-Use:
• Consumer Electronics
• Automotive
• Healthcare
• Military & Defense
• Others

Competitive Outlook:

The research includes current business summaries, gross margins, selling prices, sales income, sales volume, product specifications with pictures, and contact details for each of the market's top rivals. The viability of new projects that might succeed in the global market in the near future is highlighted in a descriptive section in the report's conclusion, along with the market's overall scope in terms of investment feasibility in several Neuromorphic Computing Market segments.

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Key Highlights of the Neuromorphic Computing Market Report:

• How COVID-19 affects business operations and revenue generation in the target market.
• Outlining in detail the factors that would restrain the market's expansion.
• Reliable predictions of upcoming trends and perceptible changes in consumer behavior.
• Detailed information on the elements that may influence market expansion in the upcoming years.
• A comprehensive analysis of the market's competitive environment and in-depth data on each provider.

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Table of Contents - Major Key Points:

1. Introduction
2. Research Methodology
3. Market Dynamics
4. Impact Analysis
4.1. COVID-19 Impact Analysis
4.2. Impact of Ukraine- Russia war
4.3. Impact of ongoing Recession on Major Economies
5. Value Chain Analysis
6. Porter's 5 Forces Model
7. PEST Analysis
8. Neuromorphic Computing Market Segmentation, By Component
9. Neuromorphic Computing Market Segmentation, By Application
10. Neuromorphic Computing Market Segmentation, By Deployment
11. Neuromorphic Computing Market Segmentation, By End-Use
12. Regional Analysis
13. Company Profiles
14. Competitive Landscape
15. USE Cases and Best Practices
16. Conclusion

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