Edge Artificial Intelligence Chips Market Trends and Investment 2034
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
| Published: Nov-2025 | Report ID: IACT25206 | Pages: 1 - 259 | Formats*: |
| Category : Information & Communications Technology | |||
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
1.Introduction
1.1.Scope of the report1.2.Market segment analysis
2.Research Methodology
2.1.Research data source
2.1.1.Secondary Data2.1.2.Primary Data2.1.3.SPERs internal database2.1.4.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.Drivers4.1.2.Restraints4.1.3.Opportunities4.1.4.Challenges
5.Market variable and outlook
5.1.SWOT Analysis
5.1.1.Strengths5.1.2.Weaknesses5.1.3.Opportunities5.1.4.Threats
5.2.PESTEL Analysis
5.2.1.Political Landscape5.2.2.Economic Landscape5.2.3.Social Landscape5.2.4.Technological Landscape5.2.5.Environmental Landscape5.2.6.Legal Landscape
5.3.PORTERs Five Forces
5.3.1.Bargaining power of suppliers5.3.2.Bargaining power of buyers5.3.3.Threat of Substitute5.3.4.Threat of new entrant5.3.5.Competitive rivalry
5.4.Heat Map Analysis
6.Competitive Landscape
6.1.Global Edge Artificial Intelligence Chips Market Manufacturing Base Distribution, Sales Area, Product Type6.2.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.CPU7.2.GPU7.3.ASIC7.4.Others
8.Global Edge Artificial Intelligence Chips Market, By Function (USD Million) 2021-2034
8.1.Training8.2.Inference
9.Global Edge Artificial Intelligence Chips Market, By Device (USD Million) 2021-2034
9.1.Consumer Devices9.2.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.Australia11.1.2.China11.1.3.India11.1.4.Japan11.1.5.South Korea11.1.6.Rest of Asia-Pacific
11.2.Europe
11.2.1.France11.2.2.Germany11.2.3.Italy11.2.4.Spain11.2.5.United Kingdom11.2.6.Rest of Europe
11.3.Middle East and Africa
11.3.1.Kingdom of Saudi Arabia11.3.2.United Arab Emirates11.3.3.Qatar11.3.4.South Africa11.3.5.Egypt11.3.6.Morocco11.3.7.Nigeria11.3.8.Rest of Middle-East and Africa
11.4.North America
11.4.1.Canada11.4.2.Mexico11.4.3.United States
11.5.Latin America
11.5.1.Argentina11.5.2.Brazil11.5.3.Rest of Latin America
12.Company Profile
12.1.Advanced Micro Devices, Inc.
12.1.1.Company details12.1.2.Financial outlook12.1.3.Product summary12.1.4.Recent developments
12.2.Alphabet Inc.
12.2.1.Company details12.2.2.Financial outlook12.2.3.Product summary12.2.4.Recent developments
12.3.Apple Inc.
12.3.1.Company details12.3.2.Financial outlook12.3.3.Product summary12.3.4.Recent developments
12.4.Arm Limited
12.4.1.Company details12.4.2.Financial outlook12.4.3.Product summary12.4.4.Recent developments
12.5.Huawei Technologies Co., Ltd.
12.5.1.Company details12.5.2.Financial outlook12.5.3.Product summary12.5.4.Recent developments
12.6.Intel Corporation
12.6.1.Company details12.6.2.Financial outlook12.6.3.Product summary12.6.4.Recent developments
12.7.Mythic
12.7.1.Company details12.7.2.Financial outlook12.7.3.Product summary12.7.4.Recent developments
12.8.NVIDIA Corporation.
12.8.1.Company details12.8.2.Financial outlook12.8.3.Product summary12.8.4.Recent developments
12.9.Qualcomm Technologies, Inc.
12.9.1.Company details12.9.2.Financial outlook12.9.3.Product summary12.9.4.Recent developments
12.10.Samsung
12.10.1.Company details12.10.2.Financial outlook12.10.3.Product summary12.10.4.Recent developments
12.11.Others
13.Conclusion
14.List of Abbreviations
15.Reference Links
SPER Market Research’s methodology uses great emphasis on primary research to ensure that the market intelligence insights are up to date, reliable and accurate. Primary interviews are done with players involved in each phase of a supply chain to analyze the market forecasting. The secondary research method is used to help you fully understand how the future markets and the spending patterns look likes.
The report is based on in-depth qualitative and quantitative analysis of the Product Market. The quantitative analysis involves the application of various projection and sampling techniques. The qualitative analysis involves primary interviews, surveys, and vendor briefings. The data gathered as a result of these processes are validated through experts opinion. Our research methodology entails an ideal mixture of primary and secondary initiatives.
Frequently Asked Questions About This Report
Edge Artificial Intelligence Chips Market is projected to reach USD 17432.96 million by 2034, growing at a CAGR of 21.58% during the forecast period.
Edge Artificial Intelligence Chips Market size from 2025. The Market is expected to reach USD 17432.96 million by 2034, at a CAGR of 21.58% during the forecast period.
Edge Artificial Intelligence Chips Market CAGR of 21.58% during the forecast period.
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Edge Artificial Intelligence Chips Market size is USD 17432.96 million from 2025 to 2034.
Edge Artificial Intelligence Chips Market covered By Chipset, By Function, By Device
The North America is anticipated to have the highest Market share in the Edge Artificial Intelligence Chips Market.
Advanced Micro Devices, Inc., Alphabet Inc., Apple Inc., Arm Limited, Huawei Technologies Co., Ltd., Intel Corporation, Mythic, NVIDIA Corporation, Qualcomm Technologies, Inc., Samsung
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.
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