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2023479

神經形態處理器市場分析及預測（至2035年）：類型、產品類型、技術、組件、應用、最終用戶、功能、安裝配置

Neuromorphic Processors Market Analysis and Forecast to 2035: Type, Product, Technology, Component, Application, End User, Functionality, Installation Type
出版日期: | 出版商: Global Insight Services | 英文 350 Pages | 商品交期: 3-5個工作天內

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簡介目錄

全球神經形態處理器市場預計將從2025年的2億美元成長到2035年的330億美元，複合年成長率（CAGR）高達73.5%。到2026年，神經形態處理器的部署數量預計將超過180萬個，其中55%將用於邊緣人工智慧應用。與傳統處理器相比，神經形態處理器的能耗最多可降低80%。北美市場佔42%的佔有率，而亞太地區的複合年成長率為37%。至2030年，預計25%的自主系統將採用神經形態晶片。研究經費正以每年30%的速度成長，推動類腦運算架構的發展。

隨著市場對節能高效運算系統的需求日益成長，家用電子電器正推動著這一成長。旨在模仿人腦的神經形態處理器能夠更快、更有效率地處理影像識別和自然語言處理等複雜任務。這些處理器正擴大被整合到智慧型手機、穿戴式裝置和物聯網系統等智慧型裝置中。人工智慧在消費應用中的日益普及進一步刺激了市場需求。隨著製造商致力於提升設備的效率和效能，神經形態處理器正成為下一代電子系統和智慧運算解決方案的關鍵組成部分。

市場區隔
類型 數位訊號、類比訊號、混合訊號、其他
產品 晶片、模組、系統及其他
科技 CMOS、自旋電子學、憶阻器及其他
成分 感測器、處理器、記憶體、互連線及其他
目的 家用電子電器、汽車、醫療保健、機器人、航太與國防、工業等產業。
最終用戶 IT與通訊、汽車、醫療保健、家用電子電器、航太與國防、其他
功能 學習、推理、模式辨識及其他
安裝表格 嵌入式、獨立式及其他

憶阻器技術正迅速普及，因為它能夠模擬人腦的突觸功能。這使得在同一元件內實現高效的資料儲存和處理成為可能，從而降低能耗並提升效能。持續的研發工作正在不斷提高基於憶阻器的系統的可靠性和擴充性。隨著對先進人工智慧硬體需求的日益成長，憶阻器技術因其革新運算架構的潛力而備受關注。其在神經形態系統中的應用正在推動創新並加速發展，使其成為未來智慧運算技術發展的關鍵領域。

區域概覽

到2025年，北美將在神經形態處理器市場佔據主導地位，這主要得益於其對先進運算技術和人工智慧研究的大力投資。美國憑藉政府機構和專注於類腦運算系統的私人科技公司的大量資金，引領創新。領先的半導體公司和研究機構的存在正在加速發展。機器人和自主系統對節能型人工智慧處理日益成長的需求進一步推動了市場成長。此外，國防和航太領域的應用也促進了技術的普及。這些因素鞏固了北美作為成長最快區域市場的地位，而持續的技術進步正是這一地位的驅動力。

亞太地區預計將成為成長最快的地區，這主要得益於半導體製造業的快速擴張和人工智慧的日益普及。中國、日本和韓國等國家正在對下一代晶片技術進行大量投資。家用電子電器和工業自動化領域對高效率運算的需求不斷成長，也推動了晶片技術的應用。此外，政府的大力支持和活性化的研發活動也加速了市場成長。該地區的製造能力和成本優勢進一步促進了市場擴張，使亞太地區成為全球成長最快的市場。

主要趨勢和促進因素

對節能型人工智慧運算架構的需求日益成長：

由於市場對節能高效、類腦運算架構的需求不斷成長，神經形態處理器市場正在蓬勃發展。傳統處理器在處理複雜的AI工作負載時會消耗大量能量，而神經形態晶片則透過模仿人腦的神經結構，能夠更有效率地處理資訊。這項特性使其成為邊緣運算、機器人和即時AI應用的理想選擇。物聯網設備中AI的日益普及進一步推動了市場需求。隨著各產業尋求更快、更節能的運算解決方案，神經形態處理器在下一代智慧系統中備受關注。

受大腦啟發而取得的晶片設計技術進步：

腦啟發式晶片設計技術的進步正在推動市場擴張。研究人員正在開發利用脈衝神經網路的神經形態架構，以實現平行和事件驅動的處理。這些晶片顯著降低了功耗，同時提高了運算效率。半導體公司正在投資專用硬體，以支援邊緣端的AI工作負載。與機器學習框架的整合提高了易用性和普及性。隨著創新的不斷推進，神經形態處理器有望在下一代AI系統中發揮關鍵作用，從而實現更智慧、更有效率的運算解決方案。

目錄

第1章：執行摘要

第2章 市場亮點

第3章 市場動態

  • 宏觀經濟分析
  • 市場趨勢
  • 市場促進因素
  • 市場機遇
  • 市場限制因素
  • 複合年均成長率：成長分析
  • 影響分析
  • 新興科技的發展趨勢
  • 技術藍圖
  • 戰略框架

第4章：細分市場分析

  • 市場規模及預測：依類型
    • 數位的
    • 模擬
    • 混合訊號
    • 其他
  • 市場規模及預測：依產品分類
    • 提示
    • 模組
    • 系統
    • 其他
  • 市場規模及預測：依技術分類
    • CMOS
    • 自旋電子學
    • 梅姆利斯塔
    • 其他
  • 市場規模及預測：依組件分類
    • 感應器
    • 處理器
    • 記憶
    • 互連
    • 其他
  • 市場規模及預測：依應用領域分類
    • 家用電子電器
    • 車
    • 衛生保健
    • 機器人技術
    • 航太/國防
    • 工業的
    • 其他
  • 市場規模及預測：依最終用戶分類
    • 資訊科技/通訊
    • 車
    • 衛生保健
    • 家用電子電器
    • 航太/國防
    • 其他
  • 市場規模及預測：依功能分類
    • 學習
    • 估計
    • 模式識別
    • 其他
  • 市場規模及預測：依安裝類型分類
    • 嵌入式
    • 獨立版
    • 其他

第5章 區域分析

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 拉丁美洲
    • 巴西
    • 阿根廷
    • 其他拉丁美洲地區
  • 亞太地區
    • 中國
    • 印度
    • 韓國
    • 日本
    • 澳洲
    • 亞太其他地區
  • 歐洲
    • 德國
    • 法國
    • 英國
    • 義大利
    • 其他歐洲地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非
    • 其他中東和非洲地區

第6章 市場策略

  • 供需差距分析
  • 貿易和物流限制
  • 價格、成本和利潤率趨勢
  • 市場滲透率
  • 消費者分析
  • 監管概述

第7章 競爭訊息

  • 市場定位
  • 市場占有率
  • 競爭基準
  • 主要企業的策略

第8章：公司簡介

  • Intel
  • IBM
  • Qualcomm
  • Samsung Electronics
  • BrainChip Holdings
  • SynSense
  • Prophesee
  • Innatera Nanosystems
  • GrAI Matter Labs
  • Aspinity
  • Mythic
  • Numenta
  • Eta Compute
  • Gyrfalcon Technology
  • Knowm
  • Thinci
  • Syntiant
  • Rain Neuromorphics
  • General Vision
  • Applied Brain Research

第9章 關於我們

簡介目錄
Product Code: GIS34483

The global neuromorphic processors market is projected to grow from $0.2 billion in 2025 to $33.0 billion by 2035, at a compound annual growth rate (CAGR) of 73.5%. Neuromorphic processors are projected to reach over 1.8 million units in deployment by 2026. Edge AI applications account for 55% of usage. Energy consumption is reduced by up to 80% compared to traditional processors. North America holds 42% share, while Asia-Pacific grows at 37% CAGR. By 2030, neuromorphic chips are expected to power 25% of autonomous systems. Research funding is increasing at 30% annually, supporting advancements in brain-inspired computing architectures.

Consumer electronics is leading growth as demand increases for energy-efficient and high-performance computing systems. Neuromorphic processors are designed to mimic the human brain, enabling faster and more efficient processing of complex tasks such as image recognition and natural language processing. These processors are increasingly being integrated into smart devices, including smartphones, wearables, and IoT systems. The growing adoption of artificial intelligence in consumer applications is further supporting demand. As manufacturers focus on improving device efficiency and performance, neuromorphic processors are becoming a key component in next-generation electronic systems and intelligent computing solutions.

Market Segmentation
TypeDigital, Analog, Mixed-Signal, Others
ProductChips, Modules, Systems, Others
TechnologyCMOS, Spintronics, Memristors, Others
ComponentSensors, Processors, Memory, Interconnects, Others
ApplicationConsumer Electronics, Automotive, Healthcare, Robotics, Aerospace & Defense, Industrial, Others
End UserIT & Telecom, Automotive, Healthcare, Consumer Electronics, Aerospace & Defense, Others
FunctionalityLearning, Inference, Pattern Recognition, Others
Installation TypeEmbedded, Standalone, Others

Memristor technology is expanding rapidly due to its ability to replicate synaptic functions of the human brain. This enables efficient data storage and processing within the same component, reducing energy consumption and improving performance. Continuous research and development efforts are enhancing the reliability and scalability of memristor-based systems. As demand for advanced AI hardware increases, this technology is gaining attention for its potential to revolutionize computing architectures. Its application in neuromorphic systems is driving innovation and accelerating growth, making it a critical segment in the development of future intelligent computing technologies.

Geographical Overview

North America dominates the neuromorphic processors market in 2025 due to strong investments in advanced computing technologies and AI research. The United States leads innovation with significant funding from government agencies and private tech firms focusing on brain-inspired computing systems. The presence of major semiconductor companies and research institutions accelerates development. Increasing demand for energy-efficient AI processing in robotics and autonomous systems further drives growth. Additionally, defense and aerospace applications contribute to adoption. These factors position North America as the highest growing regional market with continuous technological advancements.

Asia-Pacific is expected to be the fastest growing region due to rapid semiconductor manufacturing expansion and increasing AI adoption. Countries like China, Japan, and South Korea are investing heavily in next-generation chip technologies. Growing demand for efficient computing in consumer electronics and industrial automation drives adoption. Additionally, strong government support and increasing R&D activities accelerate market growth. The region's manufacturing strength and cost advantages further enhance expansion, making Asia-Pacific the fastest growing market globally.

Key Trends and Drivers

Growing Demand for Energy-Efficient AI Computing Architectures:

The Neuromorphic Processors Market is growing due to the rising demand for energy-efficient and brain-inspired computing architectures. Traditional processors consume high energy when handling complex AI workloads, whereas neuromorphic chips mimic human brain neural structures to process information more efficiently. This makes them ideal for edge computing, robotics, and real-time AI applications. Increasing adoption of AI in IoT devices is further boosting demand. As industries seek faster and more energy-efficient computing solutions, neuromorphic processors are gaining significant attention for next-generation intelligent systems.

Advancements in Brain-Inspired Chip Design Technologies:

Technological advancements in brain-inspired chip design are driving market expansion. Researchers are developing neuromorphic architectures using spiking neural networks that enable parallel and event-driven processing. These chips significantly reduce power consumption while improving computational efficiency. Semiconductor companies are investing in specialized hardware to support AI workloads at the edge. Integration with machine learning frameworks is improving usability and adoption. As innovation continues, neuromorphic processors are expected to play a key role in next-generation AI systems, enabling smarter and more efficient computing solutions.

Research Scope

  • Estimates and forecasts the overall market size across type, application, and region.
  • Provides detailed information and key takeaways on qualitative and quantitative trends, dynamics, business framework, competitive landscape, and company profiling.
  • Identifies factors influencing market growth and challenges, opportunities, drivers, and restraints.
  • Identifies factors that could limit company participation in international markets to help calibrate market share expectations and growth rates.
  • Evaluates key development strategies like acquisitions, product launches, mergers, collaborations, business expansions, agreements, partnerships, and R&D activities.
  • Analyzes smaller market segments strategically, focusing on their potential, growth patterns, and impact on the overall market.
  • Outlines the competitive landscape, assessing business and corporate strategies to monitor and dissect competitive advancements.

Our research scope provides comprehensive market data, insights, and analysis across a variety of critical areas. We cover Local Market Analysis, assessing consumer demographics, purchasing behaviors, and market size within specific regions to identify growth opportunities. Our Local Competition Review offers a detailed evaluation of competitors, including their strengths, weaknesses, and market positioning. We also conduct Local Regulatory Reviews to ensure businesses comply with relevant laws and regulations. Industry Analysis provides an in-depth look at market dynamics, key players, and trends. Additionally, we offer Cross-Segmental Analysis to identify synergies between different market segments, as well as Production-Consumption and Demand-Supply Analysis to optimize supply chain efficiency. Our Import-Export Analysis helps businesses navigate global trade environments by evaluating trade flows and policies. These insights empower clients to make informed strategic decisions, mitigate risks, and capitalize on market opportunities.

TABLE OF CONTENTS

1 Executive Summary

  • 1.1 Market Size and Forecast
  • 1.2 Market Overview
  • 1.3 Market Snapshot
  • 1.4 Strategic Recommendations
  • 1.5 Analyst Notes

2 Market Highlights

  • 2.1 Key Market Highlights by Type
  • 2.2 Key Market Highlights by Product
  • 2.3 Key Market Highlights by Technology
  • 2.4 Key Market Highlights by Component
  • 2.5 Key Market Highlights by Application
  • 2.6 Key Market Highlights by End User
  • 2.7 Key Market Highlights by Functionality
  • 2.8 Key Market Highlights by Installation Type

3 Market Dynamics

  • 3.1 Macroeconomic Analysis
  • 3.2 Market Trends
  • 3.3 Market Drivers
  • 3.4 Market Opportunities
  • 3.5 Market Restraints
  • 3.6 CAGR Growth Analysis
  • 3.7 Impact Analysis
  • 3.8 Emerging Technologies Landscape
  • 3.9 Technology Roadmap
  • 3.10 Strategic Frameworks
    • 3.10.1 PORTER's 5 Forces Model
    • 3.10.2 ANSOFF Matrix
    • 3.10.3 4P's Model
    • 3.10.4 PESTEL Analysis

4 Segment Analysis

  • 4.1 Market Size & Forecast by Type (2020-2035)
    • 4.1.1 Digital
    • 4.1.2 Analog
    • 4.1.3 Mixed-Signal
    • 4.1.4 Others
  • 4.2 Market Size & Forecast by Product (2020-2035)
    • 4.2.1 Chips
    • 4.2.2 Modules
    • 4.2.3 Systems
    • 4.2.4 Others
  • 4.3 Market Size & Forecast by Technology (2020-2035)
    • 4.3.1 CMOS
    • 4.3.2 Spintronics
    • 4.3.3 Memristors
    • 4.3.4 Others
  • 4.4 Market Size & Forecast by Component (2020-2035)
    • 4.4.1 Sensors
    • 4.4.2 Processors
    • 4.4.3 Memory
    • 4.4.4 Interconnects
    • 4.4.5 Others
  • 4.5 Market Size & Forecast by Application (2020-2035)
    • 4.5.1 Consumer Electronics
    • 4.5.2 Automotive
    • 4.5.3 Healthcare
    • 4.5.4 Robotics
    • 4.5.5 Aerospace & Defense
    • 4.5.6 Industrial
    • 4.5.7 Others
  • 4.6 Market Size & Forecast by End User (2020-2035)
    • 4.6.1 IT & Telecom
    • 4.6.2 Automotive
    • 4.6.3 Healthcare
    • 4.6.4 Consumer Electronics
    • 4.6.5 Aerospace & Defense
    • 4.6.6 Others
  • 4.7 Market Size & Forecast by Functionality (2020-2035)
    • 4.7.1 Learning
    • 4.7.2 Inference
    • 4.7.3 Pattern Recognition
    • 4.7.4 Others
  • 4.8 Market Size & Forecast by Installation Type (2020-2035)
    • 4.8.1 Embedded
    • 4.8.2 Standalone
    • 4.8.3 Others

5 Regional Analysis

  • 5.1 Global Market Overview
  • 5.2 North America Market Size (2020-2035)
    • 5.2.1 United States
      • 5.2.1.1 Type
      • 5.2.1.2 Product
      • 5.2.1.3 Technology
      • 5.2.1.4 Component
      • 5.2.1.5 Application
      • 5.2.1.6 End User
      • 5.2.1.7 Functionality
      • 5.2.1.8 Installation Type
    • 5.2.2 Canada
      • 5.2.2.1 Type
      • 5.2.2.2 Product
      • 5.2.2.3 Technology
      • 5.2.2.4 Component
      • 5.2.2.5 Application
      • 5.2.2.6 End User
      • 5.2.2.7 Functionality
      • 5.2.2.8 Installation Type
    • 5.2.3 Mexico
      • 5.2.3.1 Type
      • 5.2.3.2 Product
      • 5.2.3.3 Technology
      • 5.2.3.4 Component
      • 5.2.3.5 Application
      • 5.2.3.6 End User
      • 5.2.3.7 Functionality
      • 5.2.3.8 Installation Type
  • 5.3 Latin America Market Size (2020-2035)
    • 5.3.1 Brazil
      • 5.3.1.1 Type
      • 5.3.1.2 Product
      • 5.3.1.3 Technology
      • 5.3.1.4 Component
      • 5.3.1.5 Application
      • 5.3.1.6 End User
      • 5.3.1.7 Functionality
      • 5.3.1.8 Installation Type
    • 5.3.2 Argentina
      • 5.3.2.1 Type
      • 5.3.2.2 Product
      • 5.3.2.3 Technology
      • 5.3.2.4 Component
      • 5.3.2.5 Application
      • 5.3.2.6 End User
      • 5.3.2.7 Functionality
      • 5.3.2.8 Installation Type
    • 5.3.3 Rest of Latin America
      • 5.3.3.1 Type
      • 5.3.3.2 Product
      • 5.3.3.3 Technology
      • 5.3.3.4 Component
      • 5.3.3.5 Application
      • 5.3.3.6 End User
      • 5.3.3.7 Functionality
      • 5.3.3.8 Installation Type
  • 5.4 Asia-Pacific Market Size (2020-2035)
    • 5.4.1 China
      • 5.4.1.1 Type
      • 5.4.1.2 Product
      • 5.4.1.3 Technology
      • 5.4.1.4 Component
      • 5.4.1.5 Application
      • 5.4.1.6 End User
      • 5.4.1.7 Functionality
      • 5.4.1.8 Installation Type
    • 5.4.2 India
      • 5.4.2.1 Type
      • 5.4.2.2 Product
      • 5.4.2.3 Technology
      • 5.4.2.4 Component
      • 5.4.2.5 Application
      • 5.4.2.6 End User
      • 5.4.2.7 Functionality
      • 5.4.2.8 Installation Type
    • 5.4.3 South Korea
      • 5.4.3.1 Type
      • 5.4.3.2 Product
      • 5.4.3.3 Technology
      • 5.4.3.4 Component
      • 5.4.3.5 Application
      • 5.4.3.6 End User
      • 5.4.3.7 Functionality
      • 5.4.3.8 Installation Type
    • 5.4.4 Japan
      • 5.4.4.1 Type
      • 5.4.4.2 Product
      • 5.4.4.3 Technology
      • 5.4.4.4 Component
      • 5.4.4.5 Application
      • 5.4.4.6 End User
      • 5.4.4.7 Functionality
      • 5.4.4.8 Installation Type
    • 5.4.5 Australia
      • 5.4.5.1 Type
      • 5.4.5.2 Product
      • 5.4.5.3 Technology
      • 5.4.5.4 Component
      • 5.4.5.5 Application
      • 5.4.5.6 End User
      • 5.4.5.7 Functionality
      • 5.4.5.8 Installation Type
    • 5.4.6 Rest of APAC
      • 5.4.6.1 Type
      • 5.4.6.2 Product
      • 5.4.6.3 Technology
      • 5.4.6.4 Component
      • 5.4.6.5 Application
      • 5.4.6.6 End User
      • 5.4.6.7 Functionality
      • 5.4.6.8 Installation Type
  • 5.5 Europe Market Size (2020-2035)
    • 5.5.1 Germany
      • 5.5.1.1 Type
      • 5.5.1.2 Product
      • 5.5.1.3 Technology
      • 5.5.1.4 Component
      • 5.5.1.5 Application
      • 5.5.1.6 End User
      • 5.5.1.7 Functionality
      • 5.5.1.8 Installation Type
    • 5.5.2 France
      • 5.5.2.1 Type
      • 5.5.2.2 Product
      • 5.5.2.3 Technology
      • 5.5.2.4 Component
      • 5.5.2.5 Application
      • 5.5.2.6 End User
      • 5.5.2.7 Functionality
      • 5.5.2.8 Installation Type
    • 5.5.3 United Kingdom
      • 5.5.3.1 Type
      • 5.5.3.2 Product
      • 5.5.3.3 Technology
      • 5.5.3.4 Component
      • 5.5.3.5 Application
      • 5.5.3.6 End User
      • 5.5.3.7 Functionality
      • 5.5.3.8 Installation Type
    • 5.5.4 Italy
      • 5.5.4.1 Type
      • 5.5.4.2 Product
      • 5.5.4.3 Technology
      • 5.5.4.4 Component
      • 5.5.4.5 Application
      • 5.5.4.6 End User
      • 5.5.4.7 Functionality
      • 5.5.4.8 Installation Type
    • 5.5.5 Rest of Europe
      • 5.5.5.1 Type
      • 5.5.5.2 Product
      • 5.5.5.3 Technology
      • 5.5.5.4 Component
      • 5.5.5.5 Application
      • 5.5.5.6 End User
      • 5.5.5.7 Functionality
      • 5.5.5.8 Installation Type
  • 5.6 Middle East & Africa Market Size (2020-2035)
    • 5.6.1 Saudi Arabia
      • 5.6.1.1 Type
      • 5.6.1.2 Product
      • 5.6.1.3 Technology
      • 5.6.1.4 Component
      • 5.6.1.5 Application
      • 5.6.1.6 End User
      • 5.6.1.7 Functionality
      • 5.6.1.8 Installation Type
    • 5.6.2 United Arab Emirates
      • 5.6.2.1 Type
      • 5.6.2.2 Product
      • 5.6.2.3 Technology
      • 5.6.2.4 Component
      • 5.6.2.5 Application
      • 5.6.2.6 End User
      • 5.6.2.7 Functionality
      • 5.6.2.8 Installation Type
    • 5.6.3 South Africa
      • 5.6.3.1 Type
      • 5.6.3.2 Product
      • 5.6.3.3 Technology
      • 5.6.3.4 Component
      • 5.6.3.5 Application
      • 5.6.3.6 End User
      • 5.6.3.7 Functionality
      • 5.6.3.8 Installation Type
    • 5.6.4 Rest of MEA
      • 5.6.4.1 Type
      • 5.6.4.2 Product
      • 5.6.4.3 Technology
      • 5.6.4.4 Component
      • 5.6.4.5 Application
      • 5.6.4.6 End User
      • 5.6.4.7 Functionality
      • 5.6.4.8 Installation Type

6 Market Strategy

  • 6.1 Demand-Supply Gap Analysis
  • 6.2 Trade & Logistics Constraints
  • 6.3 Price-Cost-Margin Trends
  • 6.4 Market Penetration
  • 6.5 Consumer Analysis
  • 6.6 Regulatory Snapshot

7 Competitive Intelligence

  • 7.1 Market Positioning
  • 7.2 Market Share
  • 7.3 Competition Benchmarking
  • 7.4 Top Company Strategies

8 Company Profiles

  • 8.1 Intel
    • 8.1.1 Overview
    • 8.1.2 Product Summary
    • 8.1.3 Financial Performance
    • 8.1.4 SWOT Analysis
  • 8.2 IBM
    • 8.2.1 Overview
    • 8.2.2 Product Summary
    • 8.2.3 Financial Performance
    • 8.2.4 SWOT Analysis
  • 8.3 Qualcomm
    • 8.3.1 Overview
    • 8.3.2 Product Summary
    • 8.3.3 Financial Performance
    • 8.3.4 SWOT Analysis
  • 8.4 Samsung Electronics
    • 8.4.1 Overview
    • 8.4.2 Product Summary
    • 8.4.3 Financial Performance
    • 8.4.4 SWOT Analysis
  • 8.5 BrainChip Holdings
    • 8.5.1 Overview
    • 8.5.2 Product Summary
    • 8.5.3 Financial Performance
    • 8.5.4 SWOT Analysis
  • 8.6 SynSense
    • 8.6.1 Overview
    • 8.6.2 Product Summary
    • 8.6.3 Financial Performance
    • 8.6.4 SWOT Analysis
  • 8.7 Prophesee
    • 8.7.1 Overview
    • 8.7.2 Product Summary
    • 8.7.3 Financial Performance
    • 8.7.4 SWOT Analysis
  • 8.8 Innatera Nanosystems
    • 8.8.1 Overview
    • 8.8.2 Product Summary
    • 8.8.3 Financial Performance
    • 8.8.4 SWOT Analysis
  • 8.9 GrAI Matter Labs
    • 8.9.1 Overview
    • 8.9.2 Product Summary
    • 8.9.3 Financial Performance
    • 8.9.4 SWOT Analysis
  • 8.10 Aspinity
    • 8.10.1 Overview
    • 8.10.2 Product Summary
    • 8.10.3 Financial Performance
    • 8.10.4 SWOT Analysis
  • 8.11 Mythic
    • 8.11.1 Overview
    • 8.11.2 Product Summary
    • 8.11.3 Financial Performance
    • 8.11.4 SWOT Analysis
  • 8.12 Numenta
    • 8.12.1 Overview
    • 8.12.2 Product Summary
    • 8.12.3 Financial Performance
    • 8.12.4 SWOT Analysis
  • 8.13 Eta Compute
    • 8.13.1 Overview
    • 8.13.2 Product Summary
    • 8.13.3 Financial Performance
    • 8.13.4 SWOT Analysis
  • 8.14 Gyrfalcon Technology
    • 8.14.1 Overview
    • 8.14.2 Product Summary
    • 8.14.3 Financial Performance
    • 8.14.4 SWOT Analysis
  • 8.15 Knowm
    • 8.15.1 Overview
    • 8.15.2 Product Summary
    • 8.15.3 Financial Performance
    • 8.15.4 SWOT Analysis
  • 8.16 Thinci
    • 8.16.1 Overview
    • 8.16.2 Product Summary
    • 8.16.3 Financial Performance
    • 8.16.4 SWOT Analysis
  • 8.17 Syntiant
    • 8.17.1 Overview
    • 8.17.2 Product Summary
    • 8.17.3 Financial Performance
    • 8.17.4 SWOT Analysis
  • 8.18 Rain Neuromorphics
    • 8.18.1 Overview
    • 8.18.2 Product Summary
    • 8.18.3 Financial Performance
    • 8.18.4 SWOT Analysis
  • 8.19 General Vision
    • 8.19.1 Overview
    • 8.19.2 Product Summary
    • 8.19.3 Financial Performance
    • 8.19.4 SWOT Analysis
  • 8.20 Applied Brain Research
    • 8.20.1 Overview
    • 8.20.2 Product Summary
    • 8.20.3 Financial Performance
    • 8.20.4 SWOT Analysis

9 About Us

  • 9.1 About Us
  • 9.2 Research Methodology
  • 9.3 Research Workflow
  • 9.4 Consulting Services
  • 9.5 Our Clients
  • 9.6 Client Testimonials
  • 9.7 Contact Us