Global Edge Artificial Intelligence Chips Market Growth, Size, Trends Analysis- By Chipset, By Function, By Device- Regional Outlook, Competitive Strategies and Segment Forecast to 2034
Description
Global Edge Artificial Intelligence Chips Market Introduction and Overview
According to SPER Market Research, the Global Edge Artificial Intelligence Chips Market is estimated to reach USD 17432.96 million by 2034 with a CAGR of 21.58%.
The report includes an in-depth analysis of the Global Edge Artificial Intelligence Chips Market, including market size and trends, product mix, Applications, and supplier analysis. The Global Edge Artificial Intelligence Chips Market was valued at USD 2,470.3 million in 2024, and it is expected to rise at a 21.58% CAGR from 2025 to 2034. The market for edge AI chips is experiencing significant growth driven by the increasing demand for real-time decision-making in autonomous vehicles and smart devices. The widespread adoption of connected devices across industries further fuels this expansion, enabling faster and more efficient data processing at the edge. Advances in artificial intelligence algorithms are also contributing to market growth, as these evolving algorithms require high-performance edge chips to function effectively. Additionally, the rising use of smartphones, wearable devices, and home automation systems is creating greater demand for edge AI solutions, supporting faster computation, reduced latency, and enhanced user experiences in everyday applications.
By Chipset Insights
The CPU chipset has remained dominant in the edge AI chips market due to its versatile architecture and ability to handle a wide range of tasks, including both sequential and parallel processing. Its broad compatibility with existing software ecosystems and continuous technological improvements, such as higher core counts and better energy efficiency, reinforce its market position. Meanwhile, ASIC chipsets are emerging rapidly, driven by growing demand for AI applications across sectors like autonomous vehicles, healthcare, and smart cities. Designed specifically for AI workloads, ASICs deliver superior performance, lower latency, and improved energy efficiency, making them increasingly preferred for real-time edge AI deployments.
By Function Insights
The inference function led the edge AI chips market due to rising demand for real-time decision-making and local data processing. As AI adoption grows across industries, there is a need for chips that can analyze and process data at the edge without relying on cloud systems. The increasing complexity of AI models and stringent performance requirements further drive demand for high-performance inference chips. Meanwhile, the training function is emerging rapidly, supported by on-device learning, privacy concerns, and advancements in dedicated neural processing hardware, boosting its adoption for sophisticated edge AI tasks.
By Device Insights
The consumer devices segment led the edge AI chips market in 2023, driven by the widespread use of AI-enabled electronics in daily life. Devices such as smartphones, smart speakers, and laptops increasingly integrate AI functions like image recognition, natural language processing, and personalized recommendations to enhance user experience. This growing adoption has boosted demand for edge AI chips capable of handling complex computing tasks locally, strengthening the segment's market position. Meanwhile, the enterprise devices segment is expected to grow fastest, fueled by increasing AI deployment in business applications, the need for real-time insights, data privacy concerns, and the availability of cost-effective, high-performance edge AI hardware.
Regional Insights
North America dominated the edge AI chips market in 2024, supported by a strong presence of leading technology companies and research institutions that drive innovation in AI. High adoption of AI-powered devices and applications across industries such as automotive, healthcare, and manufacturing has further boosted demand for edge AI chips. Additionally, a favorable regulatory environment and significant investments in AI research and development have contributed to market growth. These factors collectively position North America as a key hub for edge AI technology, fostering continued innovation and supporting widespread adoption of advanced edge computing solutions in the region.
Market Competitive Landscape
The global edge AI chips market is highly competitive, driven by rapid technological advancements and strong innovation. Key players such as Nvidia, Broadcom, AMD, Modular, and Micron Technology are shaping the market through product development, strategic partnerships, and investments in AI infrastructure. Nvidia currently holds a leading position, but emerging companies are challenging its dominance by offering platforms that enable AI applications across various hardware without code changes. Growing demand for high-performance memory and specialized chips is supporting market expansion. Additionally, initiatives in emerging regions, including government support for semiconductor development, are further intensifying competition and fostering growth in the edge AI chips sector.
Recent Developments:
In October 2024, AMD launched the Ryzen AI PRO 300 Series, an edge AI chip designed for commercial AI-powered laptops. Built on advanced architecture, it supports on-device AI tasks such as productivity enhancements, AI security, and Copilot+ features.
In September 2024, SiMa.ai introduced the MLSoC Modalix family, a multi-modal edge AI platform supporting CNNs, Transformers, large language models, and generative AI. The series delivers high efficiency and performance-per-watt, enabling scalable AI applications across industries with seamless software compatibility.
In June 2024, Kneron unveiled the KNEO 330 edge AI server and KL830 AI-embedded PC, focusing on privacy-centric AI computing. These devices enhance edge AI adoption, improve energy efficiency, and reduce operational costs.
Scope of the report:
Report Metric Details
Market size available for years 2021-2034
Base year considered 2024
Forecast period 2025-2034
Segments covered By Chipset, By Function, By Device
Regions covered North America, Latin America, Asia-Pacific, Europe, and Middle East & Africa
Companies Covered
Advanced Micro Devices, Inc., Alphabet Inc., Apple Inc., Arm Limited, Huawei Technologies Co., Ltd., Intel Corporation, Mythic, NVIDIA Corporation, Qualcomm Technologies, Inc., Samsung
Key Topics Covered in the Report
Global Edge Artificial Intelligence Chips Market Size (FY'2021-FY'2034)
Overview of Global Edge Artificial Intelligence Chips Market
Segmentation of Global Edge Artificial Intelligence Chips Market By Chipset (CPU, GPU, ASIC, Others)
Segmentation of Global Edge Artificial Intelligence Chips Market By Function (Training, Inference)
Segmentation of Global Edge Artificial Intelligence Chips Market By Device (Consumer Devices, Enterprise Devices)
Statistical Snap of Global Edge Artificial Intelligence Chips Market
Expansion Analysis of Global Edge Artificial Intelligence Chips Market
Problems and Obstacles in Global Edge Artificial Intelligence Chips Market
Competitive Landscape in the Global Edge Artificial Intelligence Chips Market
Details on Current Investment in Global Edge Artificial Intelligence Chips Market
Competitive Analysis of Global Edge Artificial Intelligence Chips Market
Prominent Players in the Global Edge Artificial Intelligence Chips Market
SWOT Analysis of Global Edge Artificial Intelligence Chips Market
Global Edge Artificial Intelligence Chips Market Future Outlook and Projections (FY'2025-FY'2034)
Recommendations from Analyst
According to SPER Market Research, the Global Edge Artificial Intelligence Chips Market is estimated to reach USD 17432.96 million by 2034 with a CAGR of 21.58%.
The report includes an in-depth analysis of the Global Edge Artificial Intelligence Chips Market, including market size and trends, product mix, Applications, and supplier analysis. The Global Edge Artificial Intelligence Chips Market was valued at USD 2,470.3 million in 2024, and it is expected to rise at a 21.58% CAGR from 2025 to 2034. The market for edge AI chips is experiencing significant growth driven by the increasing demand for real-time decision-making in autonomous vehicles and smart devices. The widespread adoption of connected devices across industries further fuels this expansion, enabling faster and more efficient data processing at the edge. Advances in artificial intelligence algorithms are also contributing to market growth, as these evolving algorithms require high-performance edge chips to function effectively. Additionally, the rising use of smartphones, wearable devices, and home automation systems is creating greater demand for edge AI solutions, supporting faster computation, reduced latency, and enhanced user experiences in everyday applications.
By Chipset Insights
The CPU chipset has remained dominant in the edge AI chips market due to its versatile architecture and ability to handle a wide range of tasks, including both sequential and parallel processing. Its broad compatibility with existing software ecosystems and continuous technological improvements, such as higher core counts and better energy efficiency, reinforce its market position. Meanwhile, ASIC chipsets are emerging rapidly, driven by growing demand for AI applications across sectors like autonomous vehicles, healthcare, and smart cities. Designed specifically for AI workloads, ASICs deliver superior performance, lower latency, and improved energy efficiency, making them increasingly preferred for real-time edge AI deployments.
By Function Insights
The inference function led the edge AI chips market due to rising demand for real-time decision-making and local data processing. As AI adoption grows across industries, there is a need for chips that can analyze and process data at the edge without relying on cloud systems. The increasing complexity of AI models and stringent performance requirements further drive demand for high-performance inference chips. Meanwhile, the training function is emerging rapidly, supported by on-device learning, privacy concerns, and advancements in dedicated neural processing hardware, boosting its adoption for sophisticated edge AI tasks.
By Device Insights
The consumer devices segment led the edge AI chips market in 2023, driven by the widespread use of AI-enabled electronics in daily life. Devices such as smartphones, smart speakers, and laptops increasingly integrate AI functions like image recognition, natural language processing, and personalized recommendations to enhance user experience. This growing adoption has boosted demand for edge AI chips capable of handling complex computing tasks locally, strengthening the segment's market position. Meanwhile, the enterprise devices segment is expected to grow fastest, fueled by increasing AI deployment in business applications, the need for real-time insights, data privacy concerns, and the availability of cost-effective, high-performance edge AI hardware.
Regional Insights
North America dominated the edge AI chips market in 2024, supported by a strong presence of leading technology companies and research institutions that drive innovation in AI. High adoption of AI-powered devices and applications across industries such as automotive, healthcare, and manufacturing has further boosted demand for edge AI chips. Additionally, a favorable regulatory environment and significant investments in AI research and development have contributed to market growth. These factors collectively position North America as a key hub for edge AI technology, fostering continued innovation and supporting widespread adoption of advanced edge computing solutions in the region.
Market Competitive Landscape
The global edge AI chips market is highly competitive, driven by rapid technological advancements and strong innovation. Key players such as Nvidia, Broadcom, AMD, Modular, and Micron Technology are shaping the market through product development, strategic partnerships, and investments in AI infrastructure. Nvidia currently holds a leading position, but emerging companies are challenging its dominance by offering platforms that enable AI applications across various hardware without code changes. Growing demand for high-performance memory and specialized chips is supporting market expansion. Additionally, initiatives in emerging regions, including government support for semiconductor development, are further intensifying competition and fostering growth in the edge AI chips sector.
Recent Developments:
In October 2024, AMD launched the Ryzen AI PRO 300 Series, an edge AI chip designed for commercial AI-powered laptops. Built on advanced architecture, it supports on-device AI tasks such as productivity enhancements, AI security, and Copilot+ features.
In September 2024, SiMa.ai introduced the MLSoC Modalix family, a multi-modal edge AI platform supporting CNNs, Transformers, large language models, and generative AI. The series delivers high efficiency and performance-per-watt, enabling scalable AI applications across industries with seamless software compatibility.
In June 2024, Kneron unveiled the KNEO 330 edge AI server and KL830 AI-embedded PC, focusing on privacy-centric AI computing. These devices enhance edge AI adoption, improve energy efficiency, and reduce operational costs.
Scope of the report:
Report Metric Details
Market size available for years 2021-2034
Base year considered 2024
Forecast period 2025-2034
Segments covered By Chipset, By Function, By Device
Regions covered North America, Latin America, Asia-Pacific, Europe, and Middle East & Africa
Companies Covered
Advanced Micro Devices, Inc., Alphabet Inc., Apple Inc., Arm Limited, Huawei Technologies Co., Ltd., Intel Corporation, Mythic, NVIDIA Corporation, Qualcomm Technologies, Inc., Samsung
Key Topics Covered in the Report
Global Edge Artificial Intelligence Chips Market Size (FY'2021-FY'2034)
Overview of Global Edge Artificial Intelligence Chips Market
Segmentation of Global Edge Artificial Intelligence Chips Market By Chipset (CPU, GPU, ASIC, Others)
Segmentation of Global Edge Artificial Intelligence Chips Market By Function (Training, Inference)
Segmentation of Global Edge Artificial Intelligence Chips Market By Device (Consumer Devices, Enterprise Devices)
Statistical Snap of Global Edge Artificial Intelligence Chips Market
Expansion Analysis of Global Edge Artificial Intelligence Chips Market
Problems and Obstacles in Global Edge Artificial Intelligence Chips Market
Competitive Landscape in the Global Edge Artificial Intelligence Chips Market
Details on Current Investment in Global Edge Artificial Intelligence Chips Market
Competitive Analysis of Global Edge Artificial Intelligence Chips Market
Prominent Players in the Global Edge Artificial Intelligence Chips Market
SWOT Analysis of Global Edge Artificial Intelligence Chips Market
Global Edge Artificial Intelligence Chips Market Future Outlook and Projections (FY'2025-FY'2034)
Recommendations from Analyst
Table of Contents
259 Pages
- 1. Introduction
- 1.1. Scope of the report
- 1.2. Market segment analysis
- 2. Research Methodology
- 2.1. Research data source
- 2.1.1. Secondary Data
- 2.1.2. Primary Data
- 2.1.3. SPERs internal database
- 2.1.4. Premium insight from KOLs
- 2.2. Market size estimation
- 2.2.1. Top-down and Bottom-up approach
- 2.3. Data triangulation
- 3. Executive Summary
- 4. Market Dynamics
- 4.1. Driver, Restraint, Opportunity and Challenges analysis
- 4.1.1. Drivers
- 4.1.2. Restraints
- 4.1.3. Opportunities
- 4.1.4. Challenges
- 5. Market variable and outlook
- 5.1. SWOT Analysis
- 5.1.1. Strengths
- 5.1.2. Weaknesses
- 5.1.3. Opportunities
- 5.1.4. Threats
- 5.2. PESTEL Analysis
- 5.2.1. Political Landscape
- 5.2.2. Economic Landscape
- 5.2.3. Social Landscape
- 5.2.4. Technological Landscape
- 5.2.5. Environmental Landscape
- 5.2.6. Legal Landscape
- 5.3. PORTERs Five Forces
- 5.3.1. Bargaining power of suppliers
- 5.3.2. Bargaining power of buyers
- 5.3.3. Threat of Substitute
- 5.3.4. Threat of new entrant
- 5.3.5. Competitive rivalry
- 5.4. Heat Map Analysis
- 6. Competitive Landscape
- 6.1. Global Edge Artificial Intelligence Chips Market Manufacturing Base Distribution, Sales Area, Product Type
- 6.2. Mergers & Acquisitions, Partnerships, Product Launch, and Collaboration in Global Edge Artificial Intelligence Chips Market
- 7. Global Edge Artificial Intelligence Chips Market, By Chipset (USD Million) 2021-2034
- 7.1. CPU
- 7.2. GPU
- 7.3. ASIC
- 7.4. Others
- 8. Global Edge Artificial Intelligence Chips Market, By Function (USD Million) 2021-2034
- 8.1. Training
- 8.2. Inference
- 9. Global Edge Artificial Intelligence Chips Market, By Device (USD Million) 2021-2034
- 9.1. Consumer Devices
- 9.2. Enterprise Devices
- 10. Global Edge Artificial Intelligence Chips Market, (USD Million) 2021-2034
- 10.1. Global Edge Artificial Intelligence Chips Market Size and Market Share
- 11. Global Edge Artificial Intelligence Chips Market, By Region, (USD Million) 2021-2034
- 11.1. Asia-Pacific
- 11.1.1. Australia
- 11.1.2. China
- 11.1.3. India
- 11.1.4. Japan
- 11.1.5. South Korea
- 11.1.6. Rest of Asia-Pacific
- 11.2. Europe
- 11.2.1. France
- 11.2.2. Germany
- 11.2.3. Italy
- 11.2.4. Spain
- 11.2.5. United Kingdom
- 11.2.6. Rest of Europe
- 11.3. Middle East and Africa
- 11.3.1. Kingdom of Saudi Arabia
- 11.3.2. United Arab Emirates
- 11.3.3. Qatar
- 11.3.4. South Africa
- 11.3.5. Egypt
- 11.3.6. Morocco
- 11.3.7. Nigeria
- 11.3.8. Rest of Middle-East and Africa
- 11.4. North America
- 11.4.1. Canada
- 11.4.2. Mexico
- 11.4.3. United States
- 11.5. Latin America
- 11.5.1. Argentina
- 11.5.2. Brazil
- 11.5.3. Rest of Latin America
- 12. Company Profile
- 12.1. Advanced Micro Devices, Inc.
- 12.1.1. Company details
- 12.1.2. Financial outlook
- 12.1.3. Product summary
- 12.1.4. Recent developments
- 12.2. Alphabet Inc.
- 12.2.1. Company details
- 12.2.2. Financial outlook
- 12.2.3. Product summary
- 12.2.4. Recent developments
- 12.3. Apple Inc.
- 12.3.1. Company details
- 12.3.2. Financial outlook
- 12.3.3. Product summary
- 12.3.4. Recent developments
- 12.4. Arm Limited
- 12.4.1. Company details
- 12.4.2. Financial outlook
- 12.4.3. Product summary
- 12.4.4. Recent developments
- 12.5. Huawei Technologies Co., Ltd.
- 12.5.1. Company details
- 12.5.2. Financial outlook
- 12.5.3. Product summary
- 12.5.4. Recent developments
- 12.6. Intel Corporation
- 12.6.1. Company details
- 12.6.2. Financial outlook
- 12.6.3. Product summary
- 12.6.4. Recent developments
- 12.7. Mythic
- 12.7.1. Company details
- 12.7.2. Financial outlook
- 12.7.3. Product summary
- 12.7.4. Recent developments
- 12.8. NVIDIA Corporation.
- 12.8.1. Company details
- 12.8.2. Financial outlook
- 12.8.3. Product summary
- 12.8.4. Recent developments
- 12.9. Qualcomm Technologies, Inc.
- 12.9.1. Company details
- 12.9.2. Financial outlook
- 12.9.3. Product summary
- 12.9.4. Recent developments
- 12.10. Samsung
- 12.10.1. Company details
- 12.10.2. Financial outlook
- 12.10.3. Product summary
- 12.10.4. Recent developments
- 12.11. Others
- 13. Conclusion
- 14. List of Abbreviations
- 15. Reference Links
Pricing
Currency Rates
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