Global Neuromorphic Chip Competitive Landscape Professional Research Report 2024
Research Summary
A neuromorphic chip, also known as a brain-inspired chip or a neuroprocessor, is a specialized integrated circuit designed to mimic the structure and functionality of the human brain’s neural networks. Unlike traditional digital processors that rely on sequential algorithms, neuromorphic chips aim to replicate the parallel, distributed processing capabilities of the brain. These chips consist of interconnected artificial neurons and synapses that can process and transmit information in a massively parallel manner, enabling efficient and real-time processing of sensory data. By emulating the brain’s architecture and computational principles, neuromorphic chips have the potential to perform tasks such as pattern recognition, sensory processing, and intelligent decision-making with high energy efficiency and processing speed. They hold promise for applications in areas such as artificial intelligence, robotics, image and speech recognition, and neuromorphic computing research.
According to DIResearch's in-depth investigation and research, the global Neuromorphic Chip market size will reach XX US$ Million in 2024, and is expected to reach XX US$ Million in 2030, with a CAGR of XX% (2025-2030). Among them, the China market has changed rapidly in the past few years. The market size in 2024 will be XX US$ Million, accounting for approximately XX% of the world. It is expected to reach XX US$ Million in 2030, and the global share will reach XX%.
The major global manufacturers of Neuromorphic Chip include IBM, Intel, Samsung Electronics, Qualcomm, Gyrfalcon, Eta Compute, Westwell, Lynxi, DeepcreatIC, SynSense etc. The global players competition landscape in this report is divided into three tiers. The first tiers is the global leading enterprise, which occupies a major market share, is in a leading position in the industry, has strong competitiveness and influence, and has a large revenue scale; the second tiers has a certain share and popularity in the market, actively follows the industry leaders in product, service or technological innovation, and has a medium revenue scale; the third tiers has a smaller share in the market, has a lower brand awareness, mainly focuses on the local market, and has a relatively small revenue scale.
This report studies the market size, price trends and future development prospects of Neuromorphic Chip. Focus on analysing the market share, product portfolio, revenue and gross profit margin of global major manufacturers, as well as the market status and trends of different product types and applications in the global Neuromorphic Chip market. The report data covers historical data from 2019 to 2023, base year in 2024 and forecast data from 2025 to 2030.
The regions and countries in the report include North America, Europe, China, APAC (excl. China), Latin America and Middle East and Africa, covering the Neuromorphic Chip market conditions and future development trends of key regions and countries, combined with industry-related policies and the latest technological developments, analyze the development characteristics of Neuromorphic Chip industries in various regions and countries, help companies understand the development characteristics of each region, help companies formulate business strategies, and achieve the ultimate goal of the company's global development strategy.
The data sources of this report mainly include the National Bureau of Statistics, customs databases, industry associations, corporate financial reports, third-party databases, etc. Among them, macroeconomic data mainly comes from the National Bureau of Statistics, International Economic Research Organization; industry statistical data mainly come from industry associations; company data mainly comes from interviews, public information collection, third-party reliable databases, and price data mainly comes from various markets monitoring database.
Global Key Manufacturers of Neuromorphic Chip Include:
IBM
Intel
Samsung Electronics
Qualcomm
Gyrfalcon
Eta Compute
Westwell
Lynxi
DeepcreatIC
SynSense
Neuromorphic Chip Product Segment Include:
12nm
28nm
Others
Neuromorphic Chip Product Application Include:
Artificial Intelligence
Medical Equipment
Robot
Communications Industry
Other
Chapter Scope
Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trends
Chapter 2: Global Neuromorphic Chip Industry PESTEL Analysis
Chapter 3: Global Neuromorphic Chip Industry Porter’s Five Forces Analysis
Chapter 4: Global Neuromorphic Chip Major Regional Market Size and Forecast Analysis
Chapter 5: Global Neuromorphic Chip Market Size and Forecast by Type and Application Analysis
Chapter 6: North America Neuromorphic Chip Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 7: Europe Neuromorphic Chip Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 8: China Neuromorphic Chip Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 9: APAC (Excl. China) Neuromorphic Chip Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 10: Latin America Neuromorphic Chip Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 11: Middle East and Africa Neuromorphic Chip Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 12: Global Neuromorphic Chip Competitive Analysis of Key Manufacturers (Revenue, Market Share, Regional Distribution and Industry Concentration)
Chapter 13: Key Company Profiles (Product Portfolio, Revenue and Gross Margin)
Chapter 14: Industrial Chain Analysis, Include Raw Material Suppliers, Distributors and Customers
Chapter 15: Research Findings and Conclusion
Chapter 16: Methodology and Data Sources