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市场调查报告书
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1768939

全球边缘人工智慧晶片市场

Edge Artificial Intelligence Chips
出版日期: | 出版商: Global Industry Analysts, Inc. | 英文 163 Pages | 商品交期: 最快1-2个工作天内

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简介目录

2030年全球边缘人工智慧晶片市场规模将达186亿美元

全球边缘人工智慧晶片市场规模预计在2024年为70亿美元，预计到2030年将达到186亿美元，2024年至2030年的复合年增长率为17.7%。 CPU是本报告分析的细分市场之一，预计其复合年增长率为16.9%，到分析期结束时市场规模将达到70亿美元。 GPU细分市场在分析期间内的复合年增长率预计为15.8%。

美国市场预计将达到 20 亿美元，中国市场复合年增长率将达到 17.2%

美国边缘人工智慧晶片市场规模预计在2024年达到20亿美元。预计到2030年，作为世界第二大经济体的中国市场规模将达到29亿美元，在2024-2030年的分析期间内，复合年增长率为17.2%。其他值得关注的区域市场包括日本和加拿大，预计在分析期间内，这两个市场的复合年增长率分别为15.4%和14.7%。在欧洲，预计德国市场的复合年增长率约为12.2%。

边缘AI晶片为何发展势头强劲？

边缘人工智慧晶片因其独特的能力而迅速受到关注，它能够直接在设备上处理数据，而无需依赖云端伺服器，这在速度、隐私和资源效率方面具有显着优势。随着包括智慧家庭设备、穿戴式装置和联网汽车在内的物联网设备数量呈指数级增长，在地化资料处理变得越来越重要。边缘人工智慧晶片的理念是将计算拉近数据生成源头，使设备能够即时处理和分析资讯。这对于需要即时决策的应用至关重要，例如自动驾驶、工业自动化和扩增实境，在这些应用中，即使是最轻微的延迟也可能妨碍功能或导致营运风险。此外，透过减少对集中式云端服务的依赖，边缘人工智慧晶片可以透过限制资料传输来降低频宽成本并提高安全性，为网路连接不稳定或不可靠的地区提供解决方案。这些优势正在推动各行各业对边缘人工智慧晶片的需求，为硬体和软体领域的创新解决方案创造了一个蓬勃发展的市场。

在这个不断发展的格局中，边缘 AI 晶片正被用来创造更快、更有效率且可独立于云端运作的装置。消费者、企业和监管机构都要求更强有力的资料保护措施，尤其是在资料驱动型应用激增的情况下。边缘运算透过支援设备上的资料处理和储存来满足这些需求，从而减少对外部漏洞的机会。此外，边缘 AI 晶片的能源效率使其能够在电力资源有限的设备内运行，例如无人机和可携式医疗设备。透过将 AI 处理直接引入设备，边缘 AI 晶片有可能推动新的创新并以前所未有的方式增强设备。这代表着传统集中式资料处理模式的关键转变，并为消费者和企业提供了巨大的机会。

边缘AI芯片背后的技术是什么？

边缘AI晶片背后的技术正在快速发展，创新重点在于最大限度地提高处理效率、更好地支援AI模型以及降低功耗。边缘AI晶片通常结合GPU、TPU和NPU，用于处理与深度学习演算法相关的复杂计算。与通用处理器不同，这些晶片专门用于高效管理AI工作负载，使其成为需要即时数据分析的设备的理想选择。一项关键突破是透过FinFET和FD-SOI等技术开发微型电晶体，这使得晶片製造商能够在更小的面积内封装更多电晶体，从而实现更高的运算能力和能源效率。以最小的能耗进行高性能AI处理的能力至关重要，尤其对于电池供电设备中的应用。这样的技术基础使边缘AI晶片能够在轻量级设备中支援电脑视觉和自然语言处理等高级功能，而不会牺牲效能。

除了硬体进步之外，支援边缘 AI 晶片的软体生态系统也在不断发展，以使模型部署更加高效和易于存取。 TensorFlow Lite 和 ONNX 等框架经过专门设计，可实现 AI 模型在不同的硬体配置之间的兼容性，从而简化了 AI 应用程式在边缘设备上的部署。随着企业意识到在本地化硬体上部署客製化 AI 应用程式的潜力，这种灵活性导致各行各业对边缘 AI 晶片开发的兴趣日益浓厚。此外，5G 技术的采用有望透过实现更快、更可靠的资料传输来增强边缘 AI 晶片的功能，使设备能够在保持即时连接的同时快速处理资料。这些综合的技术进步正在推动边缘 AI 晶片市场向前发展。製造商不断创新，以满足各种消费和工业应用对强大且适应性强的边缘 AI 解决方案日益增长的需求。

业界如何利用边缘 AI 晶片？

全球各行各业越来越多地采用边缘 AI 晶片来简化业务、提高生产力和改善用户体验。在汽车产业，边缘 AI 晶片对于自动驾驶汽车至关重要，因为它们可以即时分析来自感测器、摄影机和其他来源的数据，从而实现瞬间驾驶决策。这些晶片支援汽车的关键功能，从物体侦测到路径规划，确保安全且有效率的自动驾驶。工业製造业也是从边缘 AI 晶片中获益的一个产业。透过将边缘 AI 晶片整合到工厂设备中，製造商可以实现即时预测性维护、异常检测和品管。这可以减少停机时间、最大限度地降低维护成本并优化生产流程。此外，医疗保健产业在诊断设备和穿戴式装置中使用边缘 AI 晶片进行现场数据分析，以支援及时的患者照护。边缘 AI 晶片能够即时处理患者数据，促进健康问题的早期发现并改善危急情况下的治疗效果。

零售商还利用边缘 AI 晶片来提供个人化的客户体验，使用这些晶片分析客户行为、管理库存和改进店内导航。在智慧货架和其他零售技术中部署边缘 AI 晶片，使企业无需依赖云端连接即可获得可行的洞察。消费性电子产品也正在采用边缘 AI 晶片来改进智慧型手机、AR 眼镜和虚拟助理等设备的功能。在这些设备中，边缘 AI 晶片可以实现更快的响应时间和更身临其境的体验，因为资料是在设备本地而不是在云端处理的。例如，由于边缘 AI 晶片，智慧型手机上由 AI 驱动的 AR（扩增实境）功能现在可以无缝运行而不会延迟。边缘 AI 晶片在多个行业的广泛应用凸显了其多功能性，因为它们可以实现高效的本地化处理，为行业创新开闢了新的可能性。

是什么推动了边缘AI晶片市场的成长？

边缘 AI 晶片市场的成长受到多种因素的推动，包括对物联网设备不断增长的需求、注重隐私的消费者的增加以及晶片製造技术的创新。物联网设备在各行业的兴起导致边缘产生的数据大量涌入，迫切需要在局部处理解决方案。从智慧城市到联网汽车等各种应用，这些设备依靠边缘 AI 晶片快速有效地处理数据并满足即时操作的要求。市场成长的一个关键驱动力也是资料隐私世界背后的驱动力。在日益严格的隐私法规的背景下，企业正在寻求限制资料暴露给外部伺服器的解决方案，倾向于可以直接在设备上处理敏感资料的边缘 AI 晶片。此外，随着对 AR、VR 和视讯分析等高速、低延迟应用的需求不断增长，边缘 AI 晶片提供了满足这些应用高效能需求的解决方案，进一步推动了市场采用。

半导体技术的进步也促进了边缘AI晶片市场的成长。製造流程不断发展，以支援更小、更有效率的晶片，许多製造商目前采用7奈米甚至5奈米製程节点，从而能够生产高性能、高能效的边缘AI晶片。消费者行为正转向青睐即时处理，尤其是在智慧家庭设备、游戏和健康监测等应用中。这种转变迫使设备製造商将能够即时分析的边缘AI晶片整合到其产品中。最后，5G网路与边缘运算的整合提供了互补的基础设施，增强了边缘AI晶片的功能，从而提供更快、更可靠的连接。这些因素的融合为边缘AI晶片市场的创新和扩张创造了成熟的环境，预计将增加不同应用和行业的需求。

部分

处理器（CPU、GPU、ASIC、其他处理器）；设备类型（消费性设备、企业设备）；功能（推理、训练）

受访公司范例

  • Advanced Micro Devices, Inc
  • Alphabet Inc.
  • Apple Inc.
  • Arm Limited
  • HiSilicon（ShanghAI）Technologies CO., Limited
  • Intel Corporation
  • Mythic Ltd.
  • NVIDIA Corporation
  • Samsung Electronics Co., Ltd.
  • Xilinx Inc.

人工智慧集成

全球产业分析师正在利用可操作的专家内容和人工智慧工具改变市场和竞争情报。

Global 特定产业SLM 的典型规范，而是建立了一个从全球专家收集的内容库，其中包括视讯录影、部落格、搜寻引擎研究以及大量的公司、产品/服务和市场数据。

关税影响係数

全球产业分析师根据公司总部所在国家、製造地、进出口状况（成品和原始OEM）预测其竞争态势的变化。这种复杂且多面向的市场动态预计将以多种方式影响竞争对手，包括销货成本成本 (COGS) 上升、盈利下降、供应链重组以及其他微观和宏观市场动态。

目录

第一章调查方法

第二章执行摘要

  • 市场概览
  • 主要企业
  • 市场趋势和驱动因素
  • 全球市场展望

第三章市场分析

  • 美国
  • 加拿大
  • 日本
  • 中国
  • 欧洲
  • 法国
  • 德国
  • 义大利
  • 英国
  • 其他欧洲国家
  • 亚太地区
  • 其他地区

第四章 比赛

简介目录
Product Code: MCP21681

Global Edge Artificial Intelligence Chips Market to Reach US$18.6 Billion by 2030

The global market for Edge Artificial Intelligence Chips estimated at US$7.0 Billion in the year 2024, is expected to reach US$18.6 Billion by 2030, growing at a CAGR of 17.7% over the analysis period 2024-2030. CPU, one of the segments analyzed in the report, is expected to record a 16.9% CAGR and reach US$7.0 Billion by the end of the analysis period. Growth in the GPU segment is estimated at 15.8% CAGR over the analysis period.

The U.S. Market is Estimated at US$2.0 Billion While China is Forecast to Grow at 17.2% CAGR

The Edge Artificial Intelligence Chips market in the U.S. is estimated at US$2.0 Billion in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$2.9 Billion by the year 2030 trailing a CAGR of 17.2% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 15.4% and 14.7% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 12.2% CAGR.

Why Are Edge AI Chips Gaining Momentum?

Edge AI chips are rapidly gaining prominence due to their unique ability to process data directly on devices rather than relying on cloud servers, which provides significant advantages in terms of speed, privacy, and resource efficiency. With the exponential increase in IoT devices, such as smart home devices, wearables, and connected vehicles, localized data processing has become crucial. The concept behind edge AI chips is to bring computing closer to the source of data generation, allowing devices to process and analyze information instantaneously. This is vital for applications that demand real-time decision-making, such as autonomous driving, industrial automation, and augmented reality, where even slight delays can hinder functionality or lead to operational risks. Additionally, by reducing reliance on centralized cloud services, edge AI chips lower bandwidth costs, improve security by limiting data transfer, and offer a solution for locations where network connectivity is intermittent or unreliable. These advantages are driving the demand for edge AI chips across sectors, creating a booming market for innovative solutions in both hardware and software domains.

In this evolving landscape, edge AI chips are being leveraged to create more responsive, efficient devices that can function independently of the cloud, a necessity as privacy concerns grow worldwide. Consumers, enterprises, and regulatory bodies alike are calling for more robust data protection measures, particularly as data-driven applications become more prevalent. Edge computing addresses these needs by enabling data processing and storage on-device, reducing exposure to external vulnerabilities. Furthermore, the energy efficiency of edge AI chips allows them to operate within devices that may have limited power resources, such as drones or portable medical equipment. By bringing AI processing directly to the device, edge AI chips have the potential to drive new innovations and empower devices in ways that were previously unattainable, marking a pivotal shift from traditional centralized data processing models and offering immense opportunities for both consumers and businesses.

What Technologies Are Powering Edge AI Chips?

The technology behind edge AI chips is advancing rapidly, with innovations focused on maximizing processing efficiency, enhancing AI model support, and reducing power consumption. Edge AI chips often incorporate a blend of GPUs, TPUs, and NPUs, which are tailored to handle the complex computations associated with deep learning algorithms. Unlike general-purpose processors, these chips are specialized to manage AI workloads efficiently, making them ideal for devices that require real-time data analysis. A significant breakthrough has been the development of reduced-size transistors through technologies such as FinFET and FD-SOI, which allows chip manufacturers to integrate more transistors within a smaller area, achieving higher computational power and energy efficiency. The ability to handle high-performance AI processing with minimal energy consumption is critical, especially for applications in battery-operated devices. With this technological foundation, edge AI chips are able to support sophisticated functionalities, such as computer vision and natural language processing, on lightweight devices without sacrificing performance.

In addition to hardware advancements, the software ecosystem supporting edge AI chips is also evolving to make model deployment more efficient and accessible. Frameworks like TensorFlow Lite and ONNX have been specifically designed to enable AI model compatibility across different hardware configurations, simplifying the deployment of AI applications on edge devices. This flexibility has spurred interest in edge AI chip development across industries, as businesses recognize the potential for deploying custom AI applications on localized hardware. Furthermore, the adoption of 5G technology is expected to amplify the capabilities of edge AI chips, as faster and more reliable data transfer allows devices to process data quickly while maintaining real-time connectivity. Together, these technological advancements are driving the edge AI chip market forward, as manufacturers continue to innovate to meet the increasing demand for powerful, adaptable edge AI solutions in a range of consumer and industrial applications.

How Are Industries Leveraging Edge AI Chips?

Industries worldwide are increasingly adopting edge AI chips to streamline operations, enhance productivity, and improve user experiences. In the automotive industry, edge AI chips are essential for autonomous vehicles, as they allow for real-time analysis of data from sensors, cameras, and other sources to make split-second driving decisions. These chips power critical vehicle functionalities, from object detection to route planning, ensuring safe and efficient autonomous navigation. Industrial manufacturing is another sector reaping the benefits of edge AI chips. By integrating edge AI chips into factory equipment, manufacturers are enabling predictive maintenance, anomaly detection, and quality control in real-time. This results in reduced downtime, minimized maintenance costs, and optimized production processes. Additionally, the healthcare industry is using edge AI chips in diagnostic equipment and wearable devices, providing on-the-spot data analysis that supports timely patient care. Edge AI chips allow for instantaneous processing of patient data, facilitating the early detection of health issues and improving treatment outcomes in critical situations.

Retailers are also leveraging edge AI chips to provide personalized customer experiences, using these chips to analyze customer behavior, manage inventory, and improve in-store navigation. By deploying edge AI chips within smart shelves and other retail technologies, businesses can obtain actionable insights without relying on cloud connectivity. Consumer electronics have similarly adopted edge AI chips to improve the functionality of devices like smartphones, AR glasses, and virtual assistants. In these devices, edge AI chips facilitate faster response times and more immersive experiences, as data is processed locally on the device rather than in the cloud. For example, AI-powered augmented reality features in smartphones can now operate seamlessly without lag, thanks to edge AI chips. This widespread adoption across multiple industries highlights the versatility of edge AI chips, as they enable efficient, localized processing and open up new possibilities for industry innovation.

What Is Driving Growth in the Edge AI Chip Market?

The growth in the edge AI chip market is driven by several factors, including the escalating demand for IoT devices, increased consumer emphasis on privacy, and innovations in chip manufacturing technology. The rise of IoT devices across industries has led to an influx of data generated at the edge, creating an urgent need for localized processing solutions. With applications ranging from smart cities to connected vehicles, these devices rely on edge AI chips to handle data processing quickly and efficiently, meeting the requirements of real-time operations. A critical driver of market growth is also the global push for data privacy. As privacy regulations tighten, businesses are seeking solutions that limit data exposure to external servers, favoring edge AI chips that allow sensitive data to be processed directly on the device. Additionally, as the demand for fast, low-latency applications like AR, VR, and video analytics grows, edge AI chips provide a solution that meets the high-performance demands of these applications, further driving market adoption.

Advances in semiconductor technology have also contributed to the growth of the edge AI chip market. Manufacturing processes have evolved to support smaller and more efficient chips, with many manufacturers now adopting 7nm and even 5nm process nodes, enabling the production of highly powerful, energy-efficient edge AI chips. Consumer behavior is shifting towards the preference for real-time processing, especially for applications like smart home devices, gaming, and health monitoring. This shift is compelling device manufacturers to integrate edge AI chips, capable of real-time analytics, into their products. Finally, the integration of 5G networks with edge computing is providing a complementary infrastructure that enhances the capabilities of edge AI chips, offering faster and more reliable connections. The convergence of these factors is fostering an environment ripe for innovation and expansion in the edge AI chip market, with demand expected to increase across diverse applications and industries.

SCOPE OF STUDY:

The report analyzes the Edge Artificial Intelligence Chips market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Processor (CPU, GPU, ASIC, Other Processors); Device Type (Consumer Devices, Enterprise Devices); Function (Inference, Training)

Geographic Regions/Countries:

World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.

Select Competitors (Total 33 Featured) -

  • Advanced Micro Devices, Inc
  • Alphabet Inc.
  • Apple Inc.
  • Arm Limited
  • HiSilicon(ShanghAI) Technologies CO., Limited
  • Intel Corporation
  • Mythic Ltd.
  • NVIDIA Corporation
  • Samsung Electronics Co., Ltd.
  • Xilinx Inc.

AI INTEGRATIONS

We're transforming market and competitive intelligence with validated expert content and AI tools.

Instead of following the general norm of querying LLMs and Industry-specific SLMs, we built repositories of content curated from domain experts worldwide including video transcripts, blogs, search engines research, and massive amounts of enterprise, product/service, and market data.

TARIFF IMPACT FACTOR

Our new release incorporates impact of tariffs on geographical markets as we predict a shift in competitiveness of companies based on HQ country, manufacturing base, exports and imports (finished goods and OEM). This intricate and multifaceted market reality will impact competitors by increasing the Cost of Goods Sold (COGS), reducing profitability, reconfiguring supply chains, amongst other micro and macro market dynamics.

TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

  • 1. MARKET OVERVIEW
    • Influencer Market Insights
    • Tariff Impact on Global Supply Chain Patterns
    • Global Economic Update
    • Edge Artificial Intelligence Chips - Global Key Competitors Percentage Market Share in 2025 (E)
    • Competitive Market Presence - Strong/Active/Niche/Trivial for Players Worldwide in 2025 (E)
  • 2. FOCUS ON SELECT PLAYERS
  • 3. MARKET TRENDS & DRIVERS
    • Increased Adoption of IoT Devices Spurs Demand for High-Performance Edge AI Chips in Real-Time Data Processing for Enhanced Operational Efficiency
    • Growth in Autonomous and Semi-Autonomous Vehicles Strengthens Business Case for High-Speed, Low-Latency Edge AI Chips to Enable Real-Time Decision Making and Safety Protocols
    • Rapid Integration of Edge AI Technologies in Smart City Infrastructure Expands Addressable Market Opportunity for Scalable, Resilient AI Chips Across Urban Applications
    • Rollout of 5G Networks Accelerates Demand for Faster, Energy-Efficient Edge AI Chips to Support Bandwidth-Intensive Applications and Low-Latency Communication
    • Increasing Automation in Industrial Sectors Drives Need for Low-Latency, High-Reliability Edge AI Solutions to Support Advanced Manufacturing Processes
    • Emergence of AI-Enabled Consumer Electronics Expands Market Scope for Compact, Cost-Effective Edge AI Chips Across Home and Personal Devices
    • Shift Toward Real-Time Diagnostics and Decision-Making in Healthcare Boosts Use of Edge AI Chips in Medical Imaging, Remote Patient Monitoring, and Critical Care Applications
    • Growing Demand for Predictive Maintenance and Proactive Monitoring in Industrial IoT Ecosystems Throws Spotlight on Edge AI Chips with Advanced Analytics Capabilities
    • Increased Use of Edge AI for Video Analytics in Retail and Public Spaces Generates Strong Demand for High-Performance, Real-Time Processing Capabilities in AI Chips
    • Reduction in Data Transmission Costs Coupled with Improved Connectivity Drives Adoption of Edge AI Processing in Telecom for Enhanced Service Delivery
    • Technological Advancements in AI Algorithms, Including Machine Learning and Deep Learning, Fuel Demand for Next-Generation Edge AI Chips with Optimized Processing Power
    • Focus on Developing Ultra-Low-Power AI Processing Solutions Expands Opportunities for Energy-Efficient Edge AI Chips in Mobile and Remote Devices
    • Rising Popularity of Wearable Devices with Integrated AI Capabilities Spurs Growth in Edge AI Chip Market for Health, Fitness, and Lifestyle Monitoring
  • 4. GLOBAL MARKET PERSPECTIVE
    • TABLE 1: World Recent Past, Current & Future Analysis for Edge Artificial Intelligence Chips by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 2: World 6-Year Perspective for Edge Artificial Intelligence Chips by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets for Years 2025 & 2030
    • TABLE 3: World Recent Past, Current & Future Analysis for CPU by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 4: World 6-Year Perspective for CPU by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 5: World Recent Past, Current & Future Analysis for GPU by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 6: World 6-Year Perspective for GPU by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 7: World Recent Past, Current & Future Analysis for ASIC by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 8: World 6-Year Perspective for ASIC by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 9: World Recent Past, Current & Future Analysis for Other Processors by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 10: World 6-Year Perspective for Other Processors by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 11: World Recent Past, Current & Future Analysis for Consumer Devices by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 12: World 6-Year Perspective for Consumer Devices by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 13: World Recent Past, Current & Future Analysis for Enterprise Devices by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 14: World 6-Year Perspective for Enterprise Devices by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 15: World Recent Past, Current & Future Analysis for Inference by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 16: World 6-Year Perspective for Inference by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 17: World Recent Past, Current & Future Analysis for Training by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 18: World 6-Year Perspective for Training by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 19: World Edge Artificial Intelligence Chips Market Analysis of Annual Sales in US$ Million for Years 2015 through 2030

III. MARKET ANALYSIS

  • UNITED STATES
    • Edge Artificial Intelligence Chips Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United States for 2025 (E)
    • TABLE 20: USA Recent Past, Current & Future Analysis for Edge Artificial Intelligence Chips by Processor - CPU, GPU, ASIC and Other Processors - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 21: USA 6-Year Perspective for Edge Artificial Intelligence Chips by Processor - Percentage Breakdown of Value Sales for CPU, GPU, ASIC and Other Processors for the Years 2025 & 2030
    • TABLE 22: USA Recent Past, Current & Future Analysis for Edge Artificial Intelligence Chips by Device Type - Consumer Devices and Enterprise Devices - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 23: USA 6-Year Perspective for Edge Artificial Intelligence Chips by Device Type - Percentage Breakdown of Value Sales for Consumer Devices and Enterprise Devices for the Years 2025 & 2030
    • TABLE 24: USA Recent Past, Current & Future Analysis for Edge Artificial Intelligence Chips by Function - Inference and Training - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 25: USA 6-Year Perspective for Edge Artificial Intelligence Chips by Function - Percentage Breakdown of Value Sales for Inference and Training for the Years 2025 & 2030
  • CANADA
    • TABLE 26: Canada Recent Past, Current & Future Analysis for Edge Artificial Intelligence Chips by Processor - CPU, GPU, ASIC and Other Processors - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 27: Canada 6-Year Perspective for Edge Artificial Intelligence Chips by Processor - Percentage Breakdown of Value Sales for CPU, GPU, ASIC and Other Processors for the Years 2025 & 2030
    • TABLE 28: Canada Recent Past, Current & Future Analysis for Edge Artificial Intelligence Chips by Device Type - Consumer Devices and Enterprise Devices - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 29: Canada 6-Year Perspective for Edge Artificial Intelligence Chips by Device Type - Percentage Breakdown of Value Sales for Consumer Devices and Enterprise Devices for the Years 2025 & 2030
    • TABLE 30: Canada Recent Past, Current & Future Analysis for Edge Artificial Intelligence Chips by Function - Inference and Training - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 31: Canada 6-Year Perspective for Edge Artificial Intelligence Chips by Function - Percentage Breakdown of Value Sales for Inference and Training for the Years 2025 & 2030
  • JAPAN
    • Edge Artificial Intelligence Chips Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Japan for 2025 (E)
    • TABLE 32: Japan Recent Past, Current & Future Analysis for Edge Artificial Intelligence Chips by Processor - CPU, GPU, ASIC and Other Processors - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 33: Japan 6-Year Perspective for Edge Artificial Intelligence Chips by Processor - Percentage Breakdown of Value Sales for CPU, GPU, ASIC and Other Processors for the Years 2025 & 2030
    • TABLE 34: Japan Recent Past, Current & Future Analysis for Edge Artificial Intelligence Chips by Device Type - Consumer Devices and Enterprise Devices - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 35: Japan 6-Year Perspective for Edge Artificial Intelligence Chips by Device Type - Percentage Breakdown of Value Sales for Consumer Devices and Enterprise Devices for the Years 2025 & 2030
    • TABLE 36: Japan Recent Past, Current & Future Analysis for Edge Artificial Intelligence Chips by Function - Inference and Training - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 37: Japan 6-Year Perspective for Edge Artificial Intelligence Chips by Function - Percentage Breakdown of Value Sales for Inference and Training for the Years 2025 & 2030
  • CHINA
    • Edge Artificial Intelligence Chips Market Presence - Strong/Active/Niche/Trivial - Key Competitors in China for 2025 (E)
    • TABLE 38: China Recent Past, Current & Future Analysis for Edge Artificial Intelligence Chips by Processor - CPU, GPU, ASIC and Other Processors - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 39: China 6-Year Perspective for Edge Artificial Intelligence Chips by Processor - Percentage Breakdown of Value Sales for CPU, GPU, ASIC and Other Processors for the Years 2025 & 2030
    • TABLE 40: China Recent Past, Current & Future Analysis for Edge Artificial Intelligence Chips by Device Type - Consumer Devices and Enterprise Devices - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 41: China 6-Year Perspective for Edge Artificial Intelligence Chips by Device Type - Percentage Breakdown of Value Sales for Consumer Devices and Enterprise Devices for the Years 2025 & 2030
    • TABLE 42: China Recent Past, Current & Future Analysis for Edge Artificial Intelligence Chips by Function - Inference and Training - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 43: China 6-Year Perspective for Edge Artificial Intelligence Chips by Function - Percentage Breakdown of Value Sales for Inference and Training for the Years 2025 & 2030
  • EUROPE
    • Edge Artificial Intelligence Chips Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Europe for 2025 (E)
    • TABLE 44: Europe Recent Past, Current & Future Analysis for Edge Artificial Intelligence Chips by Geographic Region - France, Germany, Italy, UK and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 45: Europe 6-Year Perspective for Edge Artificial Intelligence Chips by Geographic Region - Percentage Breakdown of Value Sales for France, Germany, Italy, UK and Rest of Europe Markets for Years 2025 & 2030
    • TABLE 46: Europe Recent Past, Current & Future Analysis for Edge Artificial Intelligence Chips by Processor - CPU, GPU, ASIC and Other Processors - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 47: Europe 6-Year Perspective for Edge Artificial Intelligence Chips by Processor - Percentage Breakdown of Value Sales for CPU, GPU, ASIC and Other Processors for the Years 2025 & 2030
    • TABLE 48: Europe Recent Past, Current & Future Analysis for Edge Artificial Intelligence Chips by Device Type - Consumer Devices and Enterprise Devices - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 49: Europe 6-Year Perspective for Edge Artificial Intelligence Chips by Device Type - Percentage Breakdown of Value Sales for Consumer Devices and Enterprise Devices for the Years 2025 & 2030
    • TABLE 50: Europe Recent Past, Current & Future Analysis for Edge Artificial Intelligence Chips by Function - Inference and Training - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 51: Europe 6-Year Perspective for Edge Artificial Intelligence Chips by Function - Percentage Breakdown of Value Sales for Inference and Training for the Years 2025 & 2030
  • FRANCE
    • Edge Artificial Intelligence Chips Market Presence - Strong/Active/Niche/Trivial - Key Competitors in France for 2025 (E)
    • TABLE 52: France Recent Past, Current & Future Analysis for Edge Artificial Intelligence Chips by Processor - CPU, GPU, ASIC and Other Processors - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 53: France 6-Year Perspective for Edge Artificial Intelligence Chips by Processor - Percentage Breakdown of Value Sales for CPU, GPU, ASIC and Other Processors for the Years 2025 & 2030
    • TABLE 54: France Recent Past, Current & Future Analysis for Edge Artificial Intelligence Chips by Device Type - Consumer Devices and Enterprise Devices - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 55: France 6-Year Perspective for Edge Artificial Intelligence Chips by Device Type - Percentage Breakdown of Value Sales for Consumer Devices and Enterprise Devices for the Years 2025 & 2030
    • TABLE 56: France Recent Past, Current & Future Analysis for Edge Artificial Intelligence Chips by Function - Inference and Training - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 57: France 6-Year Perspective for Edge Artificial Intelligence Chips by Function - Percentage Breakdown of Value Sales for Inference and Training for the Years 2025 & 2030
  • GERMANY
    • Edge Artificial Intelligence Chips Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Germany for 2025 (E)
    • TABLE 58: Germany Recent Past, Current & Future Analysis for Edge Artificial Intelligence Chips by Processor - CPU, GPU, ASIC and Other Processors - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 59: Germany 6-Year Perspective for Edge Artificial Intelligence Chips by Processor - Percentage Breakdown of Value Sales for CPU, GPU, ASIC and Other Processors for the Years 2025 & 2030
    • TABLE 60: Germany Recent Past, Current & Future Analysis for Edge Artificial Intelligence Chips by Device Type - Consumer Devices and Enterprise Devices - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 61: Germany 6-Year Perspective for Edge Artificial Intelligence Chips by Device Type - Percentage Breakdown of Value Sales for Consumer Devices and Enterprise Devices for the Years 2025 & 2030
    • TABLE 62: Germany Recent Past, Current & Future Analysis for Edge Artificial Intelligence Chips by Function - Inference and Training - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 63: Germany 6-Year Perspective for Edge Artificial Intelligence Chips by Function - Percentage Breakdown of Value Sales for Inference and Training for the Years 2025 & 2030
  • ITALY
    • TABLE 64: Italy Recent Past, Current & Future Analysis for Edge Artificial Intelligence Chips by Processor - CPU, GPU, ASIC and Other Processors - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 65: Italy 6-Year Perspective for Edge Artificial Intelligence Chips by Processor - Percentage Breakdown of Value Sales for CPU, GPU, ASIC and Other Processors for the Years 2025 & 2030
    • TABLE 66: Italy Recent Past, Current & Future Analysis for Edge Artificial Intelligence Chips by Device Type - Consumer Devices and Enterprise Devices - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 67: Italy 6-Year Perspective for Edge Artificial Intelligence Chips by Device Type - Percentage Breakdown of Value Sales for Consumer Devices and Enterprise Devices for the Years 2025 & 2030
    • TABLE 68: Italy Recent Past, Current & Future Analysis for Edge Artificial Intelligence Chips by Function - Inference and Training - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 69: Italy 6-Year Perspective for Edge Artificial Intelligence Chips by Function - Percentage Breakdown of Value Sales for Inference and Training for the Years 2025 & 2030
  • UNITED KINGDOM
    • Edge Artificial Intelligence Chips Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United Kingdom for 2025 (E)
    • TABLE 70: UK Recent Past, Current & Future Analysis for Edge Artificial Intelligence Chips by Processor - CPU, GPU, ASIC and Other Processors - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 71: UK 6-Year Perspective for Edge Artificial Intelligence Chips by Processor - Percentage Breakdown of Value Sales for CPU, GPU, ASIC and Other Processors for the Years 2025 & 2030
    • TABLE 72: UK Recent Past, Current & Future Analysis for Edge Artificial Intelligence Chips by Device Type - Consumer Devices and Enterprise Devices - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 73: UK 6-Year Perspective for Edge Artificial Intelligence Chips by Device Type - Percentage Breakdown of Value Sales for Consumer Devices and Enterprise Devices for the Years 2025 & 2030
    • TABLE 74: UK Recent Past, Current & Future Analysis for Edge Artificial Intelligence Chips by Function - Inference and Training - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 75: UK 6-Year Perspective for Edge Artificial Intelligence Chips by Function - Percentage Breakdown of Value Sales for Inference and Training for the Years 2025 & 2030
  • REST OF EUROPE
    • TABLE 76: Rest of Europe Recent Past, Current & Future Analysis for Edge Artificial Intelligence Chips by Processor - CPU, GPU, ASIC and Other Processors - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 77: Rest of Europe 6-Year Perspective for Edge Artificial Intelligence Chips by Processor - Percentage Breakdown of Value Sales for CPU, GPU, ASIC and Other Processors for the Years 2025 & 2030
    • TABLE 78: Rest of Europe Recent Past, Current & Future Analysis for Edge Artificial Intelligence Chips by Device Type - Consumer Devices and Enterprise Devices - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 79: Rest of Europe 6-Year Perspective for Edge Artificial Intelligence Chips by Device Type - Percentage Breakdown of Value Sales for Consumer Devices and Enterprise Devices for the Years 2025 & 2030
    • TABLE 80: Rest of Europe Recent Past, Current & Future Analysis for Edge Artificial Intelligence Chips by Function - Inference and Training - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 81: Rest of Europe 6-Year Perspective for Edge Artificial Intelligence Chips by Function - Percentage Breakdown of Value Sales for Inference and Training for the Years 2025 & 2030
  • ASIA-PACIFIC
    • Edge Artificial Intelligence Chips Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Asia-Pacific for 2025 (E)
    • TABLE 82: Asia-Pacific Recent Past, Current & Future Analysis for Edge Artificial Intelligence Chips by Processor - CPU, GPU, ASIC and Other Processors - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 83: Asia-Pacific 6-Year Perspective for Edge Artificial Intelligence Chips by Processor - Percentage Breakdown of Value Sales for CPU, GPU, ASIC and Other Processors for the Years 2025 & 2030
    • TABLE 84: Asia-Pacific Recent Past, Current & Future Analysis for Edge Artificial Intelligence Chips by Device Type - Consumer Devices and Enterprise Devices - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 85: Asia-Pacific 6-Year Perspective for Edge Artificial Intelligence Chips by Device Type - Percentage Breakdown of Value Sales for Consumer Devices and Enterprise Devices for the Years 2025 & 2030
    • TABLE 86: Asia-Pacific Recent Past, Current & Future Analysis for Edge Artificial Intelligence Chips by Function - Inference and Training - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 87: Asia-Pacific 6-Year Perspective for Edge Artificial Intelligence Chips by Function - Percentage Breakdown of Value Sales for Inference and Training for the Years 2025 & 2030
  • REST OF WORLD
    • TABLE 88: Rest of World Recent Past, Current & Future Analysis for Edge Artificial Intelligence Chips by Processor - CPU, GPU, ASIC and Other Processors - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 89: Rest of World 6-Year Perspective for Edge Artificial Intelligence Chips by Processor - Percentage Breakdown of Value Sales for CPU, GPU, ASIC and Other Processors for the Years 2025 & 2030
    • TABLE 90: Rest of World Recent Past, Current & Future Analysis for Edge Artificial Intelligence Chips by Device Type - Consumer Devices and Enterprise Devices - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 91: Rest of World 6-Year Perspective for Edge Artificial Intelligence Chips by Device Type - Percentage Breakdown of Value Sales for Consumer Devices and Enterprise Devices for the Years 2025 & 2030
    • TABLE 92: Rest of World Recent Past, Current & Future Analysis for Edge Artificial Intelligence Chips by Function - Inference and Training - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 93: Rest of World 6-Year Perspective for Edge Artificial Intelligence Chips by Function - Percentage Breakdown of Value Sales for Inference and Training for the Years 2025 & 2030

IV. COMPETITION