查看購物車
  • Simplified Chinese
  • English
  • Japanese
  • Korean
封面
市場調查報告書
商品編碼
1768939

全球邊緣人工智慧晶片市場

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個工作天內

價格

※ 本網頁內容可能與最新版本有所差異。詳細情況請與我們聯繫。

簡介目錄

2030年全球邊緣人工智慧晶片市場規模將達186億美元

全球邊緣人工智慧晶片市場規模預計在2024年為70億美元，預計到2030年將達到186億美元，2024年至2030年的複合年成長率為17.7%。 CPU是本報告分析的細分市場之一，預計其複合年成長率為16.9%，到分析期結束時市場規模將達到70億美元。 GPU細分市場在分析期間內的複合年成長率預計為15.8%。

美國市場預計將達到 20 億美元，中國市場複合年成長率將達到 17.2%

美國邊緣人工智慧晶片市場規模預計在2024年達到20億美元。預計到2030年，作為世界第二大經濟體的中國市場規模將達到29億美元，在2024-2030年的分析期間內，複合年成長率為17.2%。其他值得關注的區域市場包括日本和加拿大，預計在分析期間內，這兩個市場的複合年成長率分別為15.4%和14.7%。在歐洲，預計德國市場的複合年成長率約為12.2%。

邊緣AI晶片為何發展勢頭強勁？

邊緣人工智慧晶片因其獨特的能力而迅速受到關注，它能夠直接在設備上處理數據，而無需依賴雲端伺服器，這在速度、隱私和資源效率方面具有顯著優勢。隨著包括智慧家庭設備、穿戴式裝置和聯網汽車在內的物聯網設備數量呈指數級成長，在地化資料處理變得越來越重要。邊緣人工智慧晶片的理念是將計算拉近數據生成源頭，使設備能夠即時處理和分析資訊。這對於需要即時決策的應用至關重要，例如自動駕駛、工業自動化和擴增實境，在這些應用中，即使是最輕微的延遲也可能妨礙功能或導致營運風險。此外，透過減少對集中式雲端服務的依賴，邊緣人工智慧晶片可以透過限制資料傳輸來降低頻寬成本並提高安全性，為網路連接不穩定或不可靠的地區提供解決方案。這些優勢正在推動各行各業對邊緣人工智慧晶片的需求，為硬體和軟體領域的創新解決方案創造了一個蓬勃發展的市場。

在這個不斷發展的格局中，邊緣 AI 晶片正被用來創造更快、更有效率且可獨立於雲端運作的裝置。消費者、企業和監管機構都要求更強力的資料保護措施，尤其是在資料驅動型應用激增的情況下。邊緣運算透過支援設備上的資料處理和儲存來滿足這些需求，從而減少對外部漏洞的機會。此外，邊緣 AI 晶片的能源效率使其能夠在電力資源有限的設備內運行，例如無人機和可攜式醫療設備。透過將 AI 處理直接引入設備，邊緣 AI 晶片有可能推動新的創新並以前所未有的方式增強設備。這代表著傳統集中式資料處理模式的關鍵轉變，並為消費者和企業提供了巨大的機會。

邊緣AI晶片背後的技術是什麼？

邊緣AI晶片背後的技術正在快速發展，創新重點在於最大限度地提高處理效率、更好地支援AI模型以及降低功耗。邊緣AI晶片通常結合GPU、TPU和NPU，用於處理與深度學習演算法相關的複雜計算。與通用處理器不同，這些晶片專門用於高效管理AI工作負載，使其成為需要即時數據分析的設備的理想選擇。一項關鍵突破是透過FinFET和FD-SOI等技術開發微型電晶體，這使得晶片製造商能夠在更小的面積內封裝更多電晶體，從而實現更高的運算能力和能源效率。以最小的能耗進行高性能AI處理的能力至關重要，尤其對於電池供電設備中的應用。這樣的技術基礎使邊緣AI晶片能夠在輕量級設備中支援電腦視覺和自然語言處理等高級功能，而不會犧牲效能。

除了硬體進步之外，支援邊緣 AI 晶片的軟體生態系統也在不斷發展，以使模型部署更加高效和易於存取。 TensorFlow Lite 和 ONNX 等框架經過專門設計，可實現 AI 模型在不同的硬體配置之間的兼容性，從而簡化了 AI 應用程式在邊緣設備上的部署。隨著企業意識到在本地化硬體上部署客製化 AI 應用程式的潛力，這種靈活性導致各行各業對邊緣 AI 晶片開發的興趣日益濃厚。此外，5G 技術的採用有望透過實現更快、更可靠的資料傳輸來增強邊緣 AI 晶片的功能，使設備能夠在保持即時連接的同時快速處理資料。這些綜合的技術進步正在推動邊緣 AI 晶片市場向前發展。製造商不斷創新，以滿足各種消費和工業應用對強大且適應性強的邊緣 AI 解決方案日益成長的需求。

業界如何利用邊緣 AI 晶片？

全球各行各業擴大採用邊緣 AI 晶片來簡化業務、提高生產力和改善用戶體驗。在汽車產業，邊緣 AI 晶片對於自動駕駛汽車至關重要，因為它們可以即時分析來自感測器、攝影機和其他來源的數據，從而實現瞬間駕駛決策。這些晶片支援汽車的關鍵功能，從物體偵測到路徑規劃，確保安全且有效率的自動駕駛。工業製造業也是從邊緣 AI 晶片中獲益的一個產業。透過將邊緣 AI 晶片整合到工廠設備中，製造商可以實現即時預測性維護、異常檢測和品管。這可以減少停機時間、最大限度地降低維護成本並最佳化生產流程。此外，醫療保健產業在診斷設備和穿戴式裝置中使用邊緣 AI 晶片進行現場數據分析，以支援及時的患者照護。邊緣 AI 晶片能夠即時處理患者數據，促進健康問題的早期發現並改善危急情況下的治療效果。

零售商還利用邊緣 AI 晶片來提供個人化的客戶體驗，使用這些晶片分析客戶行為、管理庫存和改進店內導航。在智慧貨架和其他零售技術中部署邊緣 AI 晶片，使企業無需依賴雲端連接即可獲得可行的洞察。消費性電子產品也正在採用邊緣 AI 晶片來改進智慧型手機、AR 眼鏡和虛擬助理等設備的功能。在這些設備中，邊緣 AI 晶片可以實現更快的響應時間和更身臨其境的體驗，因為資料是在設備本地而不是在雲端處理的。例如，由於邊緣 AI 晶片，智慧型手機上由 AI 驅動的 AR（擴增實境）功能現在可以無縫運行而不會延遲。邊緣 AI 晶片在多個行業的廣泛應用凸顯了其多功能性，因為它們可以實現高效的本地化處理，為行業創新開闢了新的可能性。

是什麼推動了邊緣AI晶片市場的成長？

邊緣 AI 晶片市場的成長受到多種因素的推動，包括對物聯網設備不斷成長的需求、注重隱私的消費者的增加以及晶片製造技術的創新。物聯網設備在各行業的興起導致邊緣產生的數據大量湧入，迫切需要在局部處理解決方案。從智慧城市到聯網汽車等各種應用，這些設備依靠邊緣 AI 晶片快速有效地處理數據並滿足即時操作的要求。市場成長的一個關鍵驅動力也是資料隱私世界背後的驅動力。在日益嚴格的隱私法規的背景下，企業正在尋求限制資料暴露給外部伺服器的解決方案，傾向於可以直接在設備上處理敏感資料的邊緣 AI 晶片。此外，隨著對 AR、VR 和視訊分析等高速、低延遲應用的需求不斷成長，邊緣 AI 晶片提供了滿足這些應用高效能需求的解決方案，進一步推動了市場採用。

半導體技術的進步也促進了邊緣AI晶片市場的成長。製造流程不斷發展，以支援更小、更有效率的晶片，許多製造商目前採用7奈米甚至5奈米製程節點，從而能夠生產高性能、高能效的邊緣AI晶片。消費者行為正轉向青睞即時處理，尤其是在智慧家庭設備、遊戲和健康監測等應用中。這種轉變迫使設備製造商將能夠即時分析的邊緣AI晶片整合到其產品中。最後，5G網路與邊緣運算的整合提供了互補的基礎設施，增強了邊緣AI晶片的功能，從而提供更快、更可靠的連接。這些因素的融合為邊緣AI晶片市場的創新和擴張創造了成熟的環境，預計將增加不同應用和行業的需求。

部分

處理器（CPU、GPU、ASIC、其他處理器）；設備類型（消費性設備、企業設備）；功能（推理、訓練）

受訪公司範例

  • 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.

人工智慧整合

全球產業分析師正在利用可操作的專家內容和人工智慧工具改變市場和競爭情報。

Global 特定產業SLM 的典型規範，而是建立了一個從全球專家收集的內容庫，其中包括視訊錄影、部落格、搜尋引擎研究以及大量的公司、產品/服務和市場數據。

關稅影響係數

全球產業分析師根據公司總部所在國家、製造地、進出口狀況（成品和原始OEM）預測其競爭態勢的變化。這種複雜且多面向的市場動態預計將以多種方式影響競爭對手，包括銷貨成本成本 (COGS) 上升、盈利下降、供應鏈重組以及其他微觀和宏觀市場動態。

目錄

第1章調查方法

第2章執行摘要

  • 市場概覽
  • 主要企業
  • 市場趨勢和促進因素
  • 全球市場展望

第3章市場分析

  • 美國
  • 加拿大
  • 日本
  • 中國
  • 歐洲
  • 法國
  • 德國
  • 義大利
  • 英國
  • 其他歐洲國家
  • 亞太地區
  • 其他地區

第4章 比賽

簡介目錄
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