Self-Learning Neuro-Chip Market, By Component, By Application, By Technology, By Country, and By Region Global Industry Analysis, Market Size, Market Share & Forecast from 2025-2032
Report Code: AV3751
Industry: Semiconductor and Electronics
Publiced On: 2025-05-19
Pages: 311
Format:
REPORT HIGHLIGHT
Self-Learning Neuro-Chip Market size was valued at US$ 4,490.32 Million in 2024, expanding at a CAGR of 22.90% from 2025 to 2032.
A self-learning neuro-chip is an advanced integrated circuit designed to replicate the structure and functionality of the human brain’s neural networks. Unlike traditional microprocessors that operate based on fixed, pre-programmed instructions, these next-generation chips possess the capability to learn and adapt autonomously through experience. Leveraging artificial neurons and synapses, self-learning neuro-chips process data in a parallel and distributed manner, enabling them to recognize patterns, make predictions, and solve complex problems without explicit task-specific programming. These chips typically utilize neuromorphic computing architectures, which are engineered to emulate the brain’s energy-efficient information processing mechanisms. This approach significantly enhances processing efficiency while minimizing power consumption, making them ideal for high-demand applications such as image and speech recognition, natural language processing, and autonomous robotic control.
The key to their self-improving capability lies in their ability to dynamically adjust the strength of internal connections—similar to synaptic plasticity in biological systems—based on incoming data. This enables continuous learning and performance enhancement over time, allowing the chips to adapt effectively to unstructured and ever-changing environments where real-time learning and decision-making are critical.
Self-Learning Neuro-Chip Market- Market Dynamics
The self-learning neuro-chip market is experiencing robust growth, driven by the exponential increase in data generation across industries and the rising need for advanced processing capabilities that enable real-time analysis and actionable intelligence. The surge in demand for artificial intelligence (AI) and machine learning (ML) applications—particularly in sectors such as autonomous transportation, personalized healthcare, and smart manufacturing—is a major catalyst for market expansion. One of the defining advantages of neuromorphic chips is their energy efficiency, making them particularly well-suited for edge computing environments and mobile devices that require low-power, high-performance solutions. Their real-time data processing capabilities are especially valuable in autonomous vehicles for tasks such as sensor fusion, object detection, and decision-making under dynamic conditions.
In the healthcare sector, self-learning neuro-chips hold vast potential for enhancing diagnostic accuracy, personalizing treatment strategies, and accelerating drug discovery. These chips are also increasingly being integrated into consumer electronics such as smartphones and wearable devices, enabling contextual awareness and advanced AI-driven features. Industrial automation is another key growth area, where neuro-chips support robotics control, adaptive learning, and predictive maintenance. Their ability to continuously learn and adapt in real time offers significant benefits for optimizing complex industrial processes.
Despite their promising potential, the development and commercialization of self-learning neuro-chips face notable challenges. These include the complexity of designing brain-inspired architectures, high research and development costs, and a shortage of skilled professionals with neuromorphic design expertise. Moreover, the lack of standardized development tools and a mature software ecosystem can hinder broader adoption. Governments are beginning to recognize the strategic importance of neuromorphic computing. For instance, the U.S. Department of Energy (DOE) has invested over $100 million in neuromorphic and quantum computing research through initiatives like the Advanced Scientific Computing Research (ASCR) program, aimed at advancing next-generation computing technologies that support national AI priorities.
Self-Learning Neuro-Chip Market- Segmentation Analysis:
The Global Self-Learning Neuro-Chip Market is segmented on the basis of Component, Application, Technology, and Region.
By Technology: The market is segmented into CMOS, FinFET, FDSOI, and Others. CMOS (Complementary Metal-Oxide-Semiconductor) dominates the market due to its long-established presence and well-optimized manufacturing process that offers an ideal balance of cost-efficiency, performance, and scalability. CMOS has formed the backbone of the semiconductor industry for decades, supporting a wide range of integrated circuits and enabling the development of complex, reliable devices. Its robustness has also made it pivotal in facilitating the first generation of commercially viable self-learning neuro-chips, benefitting from existing fabrication infrastructure and mature design ecosystems. According to the U.S. Department of Commerce, CMOS-based semiconductor manufacturing still accounts for over 65% of all U.S. fab output as of 2023, underscoring its continued dominance. In contrast, the FinFET (Fin Field-Effect Transistor) technology segment is expected to be the fastest-growing over the forecast period. The need for increased computational efficiency and energy savings in AI-driven applications is propelling its adoption. FinFET technology provides enhanced energy efficiency and faster switching capabilities compared to traditional planar CMOS, especially at sub-10nm process nodes. This makes FinFET ideal for developing energy-efficient self-learning neuro-chips suited for edge AI and high-performance computing applications. As part of its CHIPS and Science Act funding, the U.S. government has committed over $50 billion toward advanced semiconductor research and fabrication, much of which includes support for emerging FinFET and post-CMOS technologies aimed at AI acceleration.
By Application: The market is divided into Automotive, Consumer Electronics, Healthcare, Industrial, Aerospace and Defense, and Others. The consumer electronics sector holds the largest market share, largely due to the rapid proliferation of AI-driven features in everyday devices such as smartphones, smart speakers, and wearables. These devices rely heavily on embedded AI for functionalities like image processing, speech recognition, and personalized interactions. Rising adoption of smart devices in both urban and rural areas is fueling demand for compact, efficient neuro-chip solutions. According to the U.S. Consumer Technology Association (CTA), smart home and personal AI devices represented over $150 billion in U.S. retail sales in 2023, indicating the sector\'s massive influence on AI hardware needs. Meanwhile, the automotive industry is projected to be the fastest-growing application area. This is driven by increasing integration of ADAS (Advanced Driver-Assistance Systems) and the rapid evolution of autonomous driving technologies. As vehicles become smarter and safer, the demand for high-speed, low-latency decision-making via self-learning neuro-chips has intensified. These chips support real-time sensor fusion, object detection, and adaptive control systems. The U.S. Department of Transportation announced over $100 million in funding in 2023 for vehicle automation research and smart infrastructure development, significantly boosting the adoption of AI-centric semiconductor technologies in the automotive sector.
Self-Learning Neuro-Chip Market- Geographical Insights
North America currently holds the largest share of the self-learning neuro-chip market, fueled by substantial investments in research and development, the presence of leading technology firms, and early adoption of artificial intelligence (AI) across diverse industries. The United States dominates the region, driven by its high levels of technological innovation and sustained government funding for AI and neuromorphic computing initiatives. For example, the U.S. government announced an investment of over $1.2 billion in AI research under the National AI Initiative Act, aimed at fostering innovation in advanced computing technologies, including neuromorphic systems. In contrast, the Asia-Pacific region is witnessing the fastest growth in the market. This momentum is largely driven by rising government investments in digital infrastructure, a massive and increasingly tech-savvy consumer base, and a robust electronics manufacturing ecosystem—particularly in China and India. Both countries are aggressively promoting AI integration in smart cities, healthcare, automotive, and manufacturing sectors to enhance productivity and innovation.
China, under its Next Generation Artificial Intelligence Development Plan, has committed to becoming a global AI leader by 2030, with state and local governments investing heavily in AI startups and semiconductor innovation. Similarly, India’s Digital India and National AI Mission programs aim to harness AI for inclusive development, further propelling demand for self-learning neuro-chips in real-time applications.
Self-Learning Neuro-Chip Market- Competitive Landscape:
The global self-learning neuro-chip market is composed of a dynamic mix of established semiconductor giants, specialized neuromorphic computing startups, and leading research institutions. Industry leaders such as Intel Corporation, IBM Corporation, Qualcomm Technologies, and Samsung Electronics are actively investing in the development of neuro-inspired chip technologies. These companies leverage their extensive manufacturing capabilities, technical expertise, and global market presence to create advanced self-learning chips tailored for next-generation AI applications. Alongside these tech giants, innovative players like BrainChip Holdings Ltd., General Vision Inc., Numenta, Inc., and Vicarious FPC, Inc. are pushing the boundaries of neuromorphic computing. They are pioneering novel chip architectures, learning algorithms, and software frameworks that mimic the cognitive capabilities of the human brain. Collaborative partnerships between these companies and academic institutions are also common, fostering innovation and accelerating the development and commercialization of self-learning technologies. As the market continues to gain momentum, competition is intensifying. Companies are focusing on enhancing chip performance, reducing power consumption, and building comprehensive hardware-software ecosystems to support broader adoption across a range of industries—including autonomous systems, mobile devices, industrial automation, and edge AI applications.
Recent Developments:
- September 2024: Intel Corporation unveiled its second-generation neuromorphic processor, Loihi 2, code-named Nahuku 3. The new chip features increased programmability, improved scalability, advanced neuron models, and on-chip learning capabilities, designed to support complex AI workloads in robotics and autonomous systems.
- July 2023: Qualcomm Technologies, Inc. launched its latest Snapdragon processor, featuring an integrated Neural Processing Unit (NPU) with self-learning capabilities. The upgraded NPU offers enhanced on-device AI performance, enabling faster, more power-efficient applications in image recognition and natural language processing on smartphones and mobile devices.
- October 2023: Samsung Electronics Co., Ltd. announced the expansion of its R&D efforts in neuromorphic computing, focusing on developing energy-efficient self-learning chips for edge AI and automotive systems. The initiative reflects the company’s commitment to advancing low-power AI technologies.
- December 2023: Numenta, Inc. introduced a new software platform designed to support the creation and deployment of applications on neuromorphic hardware. Based on its Hierarchical Temporal Memory (HTM) theory, the platform provides tools and libraries for building adaptable, self-learning AI models.
SCOPE OF THE REPORT
The scope of this report covers the market by its major segments, which include as follows:
GLOBAL SELF-LEARNING NEURO-CHIP MARKET KEY PLAYERS- DETAILED COMPETITIVE INSIGHTS
- Intel Corporation
- IBM Corporation
- Qualcomm Technologies, Inc.
- Hewlett Packard Enterprise Development LP
- Samsung Electronics Co., Ltd.
- BrainChip Holdings Ltd.
- General Vision Inc.
- HRL Laboratories, LLC
- Numenta, Inc.
- Vicarious FPC, Inc.
GLOBAL SELF-LEARNING NEURO-CHIP MARKET, BY COMPONENT- MARKET ANALYSIS, 2019 - 2032
- Hardware
- Software
- Services
GLOBAL SELF-LEARNING NEURO-CHIP MARKET, BY APPLICATION- MARKET ANALYSIS, 2019 - 2032
- Automotive
- Consumer Electronics
- Healthcare
- Industrial
- Aerospace and Defense
- Others
GLOBAL SELF-LEARNING NEURO-CHIP MARKET, BY TECHNOLOGY- MARKET ANALYSIS, 2019 - 2032
- CMOS
- FinFET
- FDSOI
- Others
GLOBAL SELF-LEARNING NEURO-CHIP MARKET, BY REGION- MARKET ANALYSIS, 2019 - 2032
North America
- U.S.
- Canada
Europe
- Germany
- UK
- France
- Italy
- Spain
- The Netherlands
- Sweden
- Russia
- Poland
- Rest of Europe
Asia Pacific
- China
- India
- Japan
- South Korea
- Australia
- Indonesia
- Thailand
- Philippines
- Rest of APAC
Latin America
- Brazil
- Mexico
- Argentina
- Colombia
- Rest of LATAM
The Middle East and Africa
- Saudi Arabia
- UAE
- Israel
- Turkey
- Algeria
- Egypt
- Rest of MEA
TABLE OF CONTENT
1. Self-Learning Neuro-Chip Market Overview
1.1. Study Scope
1.2. Market Estimation Years
2. Executive Summary
2.1. Market Snippet
2.1.1. Self-Learning Neuro-Chip Market Snippet By Component
2.1.2. Self-Learning Neuro-Chip Market Snippet by Application
2.1.3. Self-Learning Neuro-Chip Market Snippet By Technology
2.1.4. Self-Learning Neuro-Chip Market Snippet by Country
2.1.5. Self-Learning Neuro-Chip Market Snippet by Region
2.2. Competitive Insights
3. Self-Learning Neuro-Chip Key Market Trends
3.1. Self-Learning Neuro-Chip Market Drivers
3.1.1. Impact Analysis of Market Drivers
3.2. Self-Learning Neuro-Chip Market Restraints
3.2.1. Impact Analysis of Market Restraints
3.3. Self-Learning Neuro-Chip Market Opportunities
3.4. Self-Learning Neuro-Chip Market Future Trends
4. Self-Learning Neuro-Chip Industry Study
4.1. PEST Analysis
4.2. Porter’s Five Forces Analysis
4.3. Growth Prospect Mapping
4.4. Regulatory Framework Analysis
5. Self-Learning Neuro-Chip Market: Impact of Escalating Geopolitical Tensions
5.1. Impact of COVID-19 Pandemic
5.2. Impact of Russia-Ukraine War
5.3. Impact of Middle East Conflicts
6. Self-Learning Neuro-Chip Market Landscape
6.1. Self-Learning Neuro-Chip Market Share Analysis, 2024
6.2. Breakdown Data, by Key Manufacturer
6.2.1. Established Players’ Analysis
6.2.2. Emerging Players’ Analysis
7. Self-Learning Neuro-Chip Market – By Component
7.1. Overview
7.1.1. Segment Share Analysis, By Component, 2024 & 2032 (%)
7.1.2. Hardware
7.1.3. Software
7.1.4. Services
8. Self-Learning Neuro-Chip Market – By Application
8.1. Overview
8.1.1. Segment Share Analysis, By Application, 2024 & 2032 (%)
8.1.2. Automotive
8.1.3. Consumer Electronics
8.1.4. Healthcare
8.1.5. Industrial
8.1.6. Aerospace and Defense
8.1.7. Others
9. Self-Learning Neuro-Chip Market – By Technology
9.1. Overview
9.1.1. Segment Share Analysis, By Technology, 2024 & 2032 (%)
9.1.2. CMOS
9.1.3. FinFET
9.1.4. FDSOI
9.1.5. Others
10. Self-Learning Neuro-Chip Market– By Geography
10.1. Introduction
10.1.1. Segment Share Analysis, By Geography, 2024 & 2032 (%)
10.2. North America
10.2.1. Overview
10.2.2. Self-Learning Neuro-Chip Key Manufacturers in North America
10.2.3. North America Market Size and Forecast, By Country, 2019 - 2032 (US$ Million)
10.2.4. North America Market Size and Forecast, By Component, 2019 - 2032 (US$ Million)
10.2.5. North America Market Size and Forecast, By Application, 2019 - 2032 (US$ Million)
10.2.6. North America Market Size and Forecast, By Technology, 2019 - 2032 (US$ Million)
10.2.7. U.S.
10.2.7.1. Overview
10.2.7.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
10.2.7.3. U.S. Market Size and Forecast, By Component, 2019 - 2032 (US$ Million)
10.2.7.4. U.S. Market Size and Forecast, By Application, 2019 - 2032 (US$ Million)
10.2.7.5. U.S. Market Size and Forecast, By Technology, 2019 - 2032 (US$ Million)
10.2.8. Canada
10.2.8.1. Overview
10.2.8.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
10.2.8.3. Canada Market Size and Forecast, By Component, 2019 - 2032 (US$ Million)
10.2.8.4. Canada Market Size and Forecast, By Application, 2019 - 2032 (US$ Million)
10.2.8.5. Canada Market Size and Forecast, By Technology, 2019 - 2032 (US$ Million)
10.3. Europe
10.3.1. Overview
10.3.2. Self-Learning Neuro-Chip Key Manufacturers in Europe
10.3.3. Europe Market Size and Forecast, By Country, 2019 - 2032 (US$ Million)
10.3.4. Europe Market Size and Forecast, By Component, 2019 - 2032 (US$ Million)
10.3.5. Europe Market Size and Forecast, By Application, 2019 - 2032 (US$ Million)
10.3.6. Europe Market Size and Forecast, By Technology, 2019 - 2032 (US$ Million)
10.3.7. Germany
10.3.7.1. Overview
10.3.7.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
10.3.7.3. Germany Market Size and Forecast, By Component, 2019 - 2032 (US$ Million)
10.3.7.4. Germany Market Size and Forecast, By Application, 2019 - 2032 (US$ Million)
10.3.7.5. Germany Market Size and Forecast, By Technology, 2019 - 2032 (US$ Million)
10.3.8. UK
10.3.8.1. Overview
10.3.8.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
10.3.8.3. UK Market Size and Forecast, By Component, 2019 - 2032 (US$ Million)
10.3.8.4. UK Market Size and Forecast, By Application, 2019 - 2032 (US$ Million)
10.3.8.5. UK Market Size and Forecast, By Technology, 2019 - 2032 (US$ Million)
10.3.9. France
10.3.9.1. Overview
10.3.9.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
10.3.9.3. France Market Size and Forecast, By Component, 2019 - 2032 (US$ Million)
10.3.9.4. France Market Size and Forecast, By Application, 2019 - 2032 (US$ Million)
10.3.9.5. France Market Size and Forecast, By Technology, 2019 - 2032 (US$ Million)
10.3.10. Italy
10.3.10.1. Overview
10.3.10.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
10.3.10.3. Italy Market Size and Forecast, By Component, 2019 - 2032 (US$ Million)
10.3.10.4. Italy Market Size and Forecast, By Application, 2019 - 2032 (US$ Million)
10.3.10.5. Italy Market Size and Forecast, By Technology, 2019 - 2032 (US$ Million)
10.3.11. Spain
10.3.11.1. Overview
10.3.11.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
10.3.11.3. Spain Market Size and Forecast, By Component, 2019 - 2032 (US$ Million)
10.3.11.4. Spain Market Size and Forecast, By Application, 2019 - 2032 (US$ Million)
10.3.11.5. Spain Market Size and Forecast, By Technology, 2019 - 2032 (US$ Million)
10.3.12. The Netherlands
10.3.12.1. Overview
10.3.12.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
10.3.12.3. The Netherlands Market Size and Forecast, By Component, 2019 - 2032 (US$ Million)
10.3.12.4. The Netherlands Market Size and Forecast, By Application, 2019 - 2032 (US$ Million)
10.3.12.5. The Netherlands Market Size and Forecast, By Technology, 2019 - 2032 (US$ Million)
10.3.13. Sweden
10.3.13.1. Overview
10.3.13.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
10.3.13.3. Sweden Market Size and Forecast, By Component, 2019 - 2032 (US$ Million)
10.3.13.4. Sweden Market Size and Forecast, By Application, 2019 - 2032 (US$ Million)
10.3.13.5. Sweden Market Size and Forecast, By Technology, 2019 - 2032 (US$ Million)
10.3.14. Russia
10.3.14.1. Overview
10.3.14.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
10.3.14.3. Russia Market Size and Forecast, By Component, 2019 - 2032 (US$ Million)
10.3.14.4. Russia Market Size and Forecast, By Application, 2019 - 2032 (US$ Million)
10.3.14.5. Russia Market Size and Forecast, By Technology, 2019 - 2032 (US$ Million)
10.3.15. Poland
10.3.15.1. Overview
10.3.15.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
10.3.15.3. Poland Market Size and Forecast, By Component, 2019 - 2032 (US$ Million)
10.3.15.4. Poland Market Size and Forecast, By Application, 2019 - 2032 (US$ Million)
10.3.15.5. Poland Market Size and Forecast, By Technology, 2019 - 2032 (US$ Million)
10.3.16. Rest of Europe
10.3.16.1. Overview
10.3.16.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
10.3.16.3. Rest of the Europe Market Size and Forecast, By Component, 2019 - 2032 (US$ Million)
10.3.16.4. Rest of the Europe Market Size and Forecast, By Application, 2019 - 2032 (US$ Million)
10.3.16.5. Rest of the Europe Market Size and Forecast, By Technology, 2019 - 2032 (US$ Million)
10.4. Asia Pacific (APAC)
10.4.1. Overview
10.4.2. Self-Learning Neuro-Chip Key Manufacturers in Asia Pacific
10.4.3. APAC Market Size and Forecast, By Country, 2019 - 2032 (US$ Million)
10.4.4. APAC Market Size and Forecast, By Component, 2019 - 2032 (US$ Million)
10.4.5. APAC Market Size and Forecast, By Application, 2019 - 2032 (US$ Million)
10.4.6. APAC Market Size and Forecast, By Technology, 2019 - 2032 (US$ Million)
10.4.7. China
10.4.7.1. Overview
10.4.7.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
10.4.7.3. China Market Size and Forecast, By Component, 2019 - 2032 (US$ Million)
10.4.7.4. China Market Size and Forecast, By Application, 2019 - 2032 (US$ Million)
10.4.7.5. China Market Size and Forecast, By Technology, 2019 - 2032 (US$ Million)
10.4.8. India
10.4.8.1. Overview
10.4.8.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
10.4.8.3. India Market Size and Forecast, By Component, 2019 - 2032 (US$ Million)
10.4.8.4. India Market Size and Forecast, By Application, 2019 - 2032 (US$ Million)
10.4.8.5. India Market Size and Forecast, By Technology, 2019 - 2032 (US$ Million)
10.4.9. Japan
10.4.9.1. Overview
10.4.9.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
10.4.9.3. Japan Market Size and Forecast, By Component, 2019 - 2032 (US$ Million)
10.4.9.4. Japan Market Size and Forecast, By Application, 2019 - 2032 (US$ Million)
10.4.9.5. Japan Market Size and Forecast, By Technology, 2019 - 2032 (US$ Million)
10.4.10. South Korea
10.4.10.1. Overview
10.4.10.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
10.4.10.3. South Korea Market Size and Forecast, By Component, 2019 - 2032 (US$ Million)
10.4.10.4. South Korea Market Size and Forecast, By Application, 2019 - 2032 (US$ Million)
10.4.10.5. South Korea Market Size and Forecast, By Technology, 2019 - 2032 (US$ Million)
10.4.11. Australia
10.4.11.1. Overview
10.4.11.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
10.4.11.3. Australia Market Size and Forecast, By Component, 2019 - 2032 (US$ Million)
10.4.11.4. Australia Market Size and Forecast, By Application, 2019 - 2032 (US$ Million)
10.4.11.5. Australia Market Size and Forecast, By Technology, 2019 - 2032 (US$ Million)
10.4.12. Indonesia
10.4.12.1. Overview
10.4.12.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
10.4.12.3. Indonesia Market Size and Forecast, By Component, 2019 - 2032 (US$ Million)
10.4.12.4. Indonesia Market Size and Forecast, By Application, 2019 - 2032 (US$ Million)
10.4.12.5. Indonesia Market Size and Forecast, By Technology, 2019 - 2032 (US$ Million)
10.4.13. Thailand
10.4.13.1. Overview
10.4.13.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
10.4.13.3. Thailand Market Size and Forecast, By Component, 2019 - 2032 (US$ Million)
10.4.13.4. Thailand Market Size and Forecast, By Application, 2019 - 2032 (US$ Million)
10.4.13.5. Thailand Market Size and Forecast, By Technology, 2019 - 2032 (US$ Million)
10.4.14. Philippines
10.4.14.1. Overview
10.4.14.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
10.4.14.3. Philippines Market Size and Forecast, By Component, 2019 - 2032 (US$ Million)
10.4.14.4. Philippines Market Size and Forecast, By Application, 2019 - 2032 (US$ Million)
10.4.14.5. Philippines Market Size and Forecast, By Technology, 2019 - 2032 (US$ Million)
10.4.15. Rest of APAC
10.4.15.1. Overview
10.4.15.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
10.4.15.3. Rest of APAC Market Size and Forecast, By Component, 2019 - 2032 (US$ Million)
10.4.15.4. Rest of APAC Market Size and Forecast, By Application, 2019 - 2032 (US$ Million)
10.4.15.5. Rest of APAC Market Size and Forecast, By Technology, 2019 - 2032 (US$ Million)
10.5. Latin America (LATAM)
10.5.1. Overview
10.5.2. Self-Learning Neuro-Chip Key Manufacturers in Latin America
10.5.3. LATAM Market Size and Forecast, By Country, 2019 - 2032 (US$ Million)
10.5.4. LATAM Market Size and Forecast, By Component, 2019 - 2032 (US$ Million)
10.5.5. LATAM Market Size and Forecast, By Application, 2019 - 2032 (US$ Million)
10.5.6. LATAM Market Size and Forecast, By Technology, 2019 - 2032 (US$ Million)
10.5.7. Brazil
10.5.7.1. Overview
10.5.7.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
10.5.7.3. Brazil Market Size and Forecast, By Component, 2019 - 2032 (US$ Million)
10.5.7.4. Brazil Market Size and Forecast, By Application, 2019 - 2032 (US$ Million)
10.5.7.5. Brazil Market Size and Forecast, By Technology, 2019 - 2032 (US$ Million)
10.5.8. Mexico
10.5.8.1. Overview
10.5.8.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
10.5.8.3. Mexico Market Size and Forecast, By Component, 2019 - 2032 (US$ Million)
10.5.8.4. Mexico Market Size and Forecast, By Application, 2019 - 2032 (US$ Million)
10.5.8.5. Mexico Market Size and Forecast, By Technology, 2019 - 2032 (US$ Million)
10.5.9. Argentina
10.5.9.1. Overview
10.5.9.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
10.5.9.3. Argentina Market Size and Forecast, By Component, 2019 - 2032 (US$ Million)
10.5.9.4. Argentina Market Size and Forecast, By Application, 2019 - 2032 (US$ Million)
10.5.9.5. Argentina Market Size and Forecast, By Technology, 2019 - 2032 (US$ Million)
10.5.10. Colombia
10.5.10.1. Overview
10.5.10.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
10.5.10.3. Colombia Market Size and Forecast, By Component, 2019 - 2032 (US$ Million)
10.5.10.4. Colombia Market Size and Forecast, By Application, 2019 - 2032 (US$ Million)
10.5.10.5. Colombia Market Size and Forecast, By Technology, 2019 - 2032 (US$ Million)
10.5.11. Rest of LATAM
10.5.11.1. Overview
10.5.11.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
10.5.11.3. Rest of LATAM Market Size and Forecast, By Component, 2019 - 2032 (US$ Million)
10.5.11.4. Rest of LATAM Market Size and Forecast, By Application, 2019 - 2032 (US$ Million)
10.5.11.5. Rest of LATAM Market Size and Forecast, By Technology, 2019 - 2032 (US$ Million)
10.6. Middle East and Africa (MEA)
10.6.1. Overview
10.6.2. Self-Learning Neuro-Chip Key Manufacturers in Middle East and Africa
10.6.3. MEA Market Size and Forecast, By Country, 2019 - 2032 (US$ Million)
10.6.4. MEA Market Size and Forecast, By Component, 2019 - 2032 (US$ Million)
10.6.5. MEA Market Size and Forecast, By Application, 2019 - 2032 (US$ Million)
10.6.6. MEA Market Size and Forecast, By Technology, 2019 - 2032 (US$ Million)
10.6.7. Saudi Arabia
10.6.7.1. Overview
10.6.7.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
10.6.7.3. Saudi Arabia Market Size and Forecast, By Component, 2019 - 2032 (US$ Million)
10.6.7.4. Saudi Arabia Market Size and Forecast, By Application, 2019 - 2032 (US$ Million)
10.6.7.5. Saudi Arabia Market Size and Forecast, By Technology, 2019 - 2032 (US$ Million)
10.6.8. UAE
10.6.8.1. Overview
10.6.8.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
10.6.8.3. UAE Market Size and Forecast, By Component, 2019 - 2032 (US$ Million)
10.6.8.4. UAE Market Size and Forecast, By Application, 2019 - 2032 (US$ Million)
10.6.8.5. UAE Market Size and Forecast, By Technology, 2019 - 2032 (US$ Million)
10.6.9. Israel
10.6.9.1. Overview
10.6.9.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
10.6.9.3. Israel Market Size and Forecast, By Component, 2019 - 2032 (US$ Million)
10.6.9.4. Israel Market Size and Forecast, By Application, 2019 - 2032 (US$ Million)
10.6.9.5. Israel Market Size and Forecast, By Technology, 2019 - 2032 (US$ Million)
10.6.10. Turkey
10.6.10.1. Overview
10.6.10.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
10.6.10.3. Turkey Market Size and Forecast, By Component, 2019 - 2032 (US$ Million)
10.6.10.4. Turkey Market Size and Forecast, By Application, 2019 - 2032 (US$ Million)
10.6.10.5. Turkey Market Size and Forecast, By Technology, 2019 - 2032 (US$ Million)
10.6.11. Algeria
10.6.11.1. Overview
10.6.11.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
10.6.11.3. Algeria Market Size and Forecast, By Component, 2019 - 2032 (US$ Million)
10.6.11.4. Algeria Market Size and Forecast, By Application, 2019 - 2032 (US$ Million)
10.6.11.5. Algeria Market Size and Forecast, By Technology, 2019 - 2032 (US$ Million)
10.6.12. Egypt
10.6.12.1. Overview
10.6.12.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
10.6.12.3. Egypt Market Size and Forecast, By Component, 2019 - 2032 (US$ Million)
10.6.12.4. Egypt Market Size and Forecast, By Application, 2019 - 2032 (US$ Million)
10.6.12.5. Egypt Market Size and Forecast, By Technology, 2019 - 2032 (US$ Million)
10.6.13. Rest of MEA
10.6.13.1. Overview
10.6.13.2. Market Analysis, Forecast, and Y-O-Y Growth Rate, 2019 - 2032, (US$ Million)
10.6.13.3. Rest of MEA Market Size and Forecast, By Component, 2019 - 2032 (US$ Million)
10.6.13.4. Rest of MEA Market Size and Forecast, By Application, 2019 - 2032 (US$ Million)
10.6.13.5. Rest of MEA Market Size and Forecast, By Technology, 2019 - 2032 (US$ Million)
11. Key Vendor Analysis- Self-Learning Neuro-Chip Industry
11.1. Competitive Dashboard
11.1.1. Competitive Benchmarking
11.1.2. Competitive Positioning
11.2. Company Profiles
11.2.1. Intel Corporation
11.2.2. IBM Corporation
11.2.3. Qualcomm Technologies, Inc.
11.2.4. Hewlett Packard Enterprise Development LP
11.2.5. Samsung Electronics Co., Ltd.
11.2.6. BrainChip Holdings Ltd.
11.2.7. General Vision Inc.
11.2.8. HRL Laboratories, LLC
11.2.9. Numenta, Inc.
11.2.10. Vicarious FPC, Inc.
12. 360 Degree AnalystView
13. Appendix
13.1. Research Methodology
13.2. References
13.3. Abbreviations
13.4. Disclaimer
13.5. Contact Us
