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エッジ人工知能チップの世界市場

Edge Artificial Intelligence Chips

出版日
ページ情報
英文 163 Pages
納期
即日から翌営業日
適宜更新あり
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価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=148.47円
エッジ人工知能チップの世界市場
出版日: 2025年07月11日
発行: Global Industry Analysts, Inc.
ページ情報: 英文 163 Pages
納期: 即日から翌営業日
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概要

エッジ人工知能チップの世界市場は2030年までに186億米ドルに到達

2024年に70億米ドルと推定されるエッジ人工知能チップの世界市場は、2024年から2030年にかけてCAGR 17.7%で成長し、2030年には186億米ドルに達すると予測されます。本レポートで分析しているセグメントの1つであるCPUは、CAGR16.9％を記録し、分析期間終了までに70億米ドルに達すると予測されています。GPUセグメントの成長率は、分析期間でCAGR 15.8％と推定されます。

米国市場は20億米ドル、中国はCAGR 17.2％で成長すると予測

米国のエッジ人工知能チップ市場は、2024年に20億米ドルと推定されます。世界第2位の経済大国である中国は、2030年までに29億米ドルの市場規模に達すると予測され、分析期間2024-2030年のCAGRは17.2%です。その他の注目すべき地域別市場としては、日本とカナダがあり、分析期間中のCAGRはそれぞれ15.4%と14.7%と予測されています。欧州では、ドイツがCAGR約12.2%で成長すると予測されています。

なぜエッジAIチップは勢いを増しているのか？

エッジAIチップは、クラウドサーバーに依存するのではなく、デバイス上で直接データを処理する独自の機能により、スピード、プライバシー、リソース効率の面で大きな利点を提供するため、急速に注目を集めています。スマートホームデバイス、ウェアラブル、コネクテッドカーなど、IoTデバイスの急激な増加に伴い、ローカライズされたデータ処理が重要になっています。エッジAIチップのコンセプトは、コンピューティングをデータ生成源に近づけ、デバイスが瞬時に情報を処理・分析できるようにすることです。これは、自律走行、産業オートメーション、拡張現実など、リアルタイムの意思決定が要求されるアプリケーションにとって不可欠であり、わずかな遅延でも機能性を妨げたり、運用上のリスクにつながる可能性があります。さらに、集中型クラウドサービスへの依存を減らすことで、エッジAIチップは帯域幅コストを削減し、データ転送を制限することでセキュリティを向上させ、ネットワーク接続が断続的または信頼性の低い場所に対するソリューションを提供します。このような利点により、エッジAIチップの需要は分野を問わず高まっており、ハードウェアとソフトウェアの両領域で革新的なソリューションの市場が活況を呈しています。

この進化する状況の中で、エッジAIチップは、クラウドから独立して機能する、より応答性の高い効率的なデバイスを作るために活用されています。消費者、企業、規制機関のいずれもが、特にデータ駆動型アプリケーションの普及に伴い、より強固なデータ保護対策を求めています。エッジ・コンピューティングは、デバイス上でのデータ処理と保存を可能にし、外部の脆弱性にさらされる機会を減らすことで、こうしたニーズに対応します。さらに、エッジAIチップのエネルギー効率は、ドローンやポータブル医療機器など、電力リソースが限られているデバイス内での動作を可能にします。エッジAIチップは、AI処理をデバイスに直接もたらすことで、新たなイノベーションを推進し、これまで実現できなかった方法でデバイスを強化する可能性を持っています。これは、従来の集中型データ処理モデルからの極めて重要な転換を意味し、消費者と企業の両方に計り知れない機会を提供します。

エッジAIチップを支える技術とは？

エッジAIチップを支えるテクノロジーは急速に進歩しており、処理効率の最大化、AIモデルのサポートの強化、消費電力の削減に重点を置いたイノベーションが行われています。エッジAIチップは多くの場合、GPU、TPU、NPUを組み合わせており、ディープラーニング・アルゴリズムに関連する複雑な計算を処理できるように調整されています。汎用プロセッサーとは異なり、これらのチップはAIワークロードを効率的に管理するために特化されているため、リアルタイムのデータ分析を必要とするデバイスに最適です。重要なブレークスルーは、FinFETやFD-SOIなどの技術による小型化されたトランジスタの開発であり、これによりチップメーカーは、より小さな面積により多くのトランジスタを集積し、より高い計算能力とエネルギー効率を達成できるようになりました。高性能なAI処理を最小限のエネルギー消費で処理する能力は、特にバッテリー駆動デバイスのアプリケーションにとって極めて重要です。このような技術基盤により、エッジAIチップは、性能を犠牲にすることなく、軽量デバイスでコンピュータビジョンや自然言語処理などの高度な機能をサポートすることができます。

ハードウェアの進歩に加え、エッジAIチップをサポートするソフトウェア・エコシステムも、モデル展開をより効率的かつ利用しやすくするために進化しています。TensorFlow LiteやONNXのようなフレームワークは、異なるハードウェア構成間でのAIモデルの互換性を可能にするよう特別に設計されており、エッジデバイス上でのAIアプリケーションの展開を簡素化しています。この柔軟性により、企業はローカライズされたハードウェア上でカスタムAIアプリケーションを展開できる可能性を認識し、業界全体でエッジAIチップ開発への関心が高まっています。さらに、5G技術の採用により、より高速で信頼性の高いデータ転送が可能になり、デバイスがリアルタイムの接続性を維持しながらデータを迅速に処理できるようになるため、エッジAIチップの能力が増幅されると予想されます。このような技術的進歩が相まって、エッジAIチップ市場が前進しています。メーカー各社は、さまざまな消費者向けおよび産業用アプリケーションにおいて、強力で適応性の高いエッジAIソリューションに対する需要の高まりに応えるべく技術革新を続けています。

産業界はエッジAIチップをどのように活用しているか？

世界の産業界では、業務の合理化、生産性の向上、ユーザー体験の改善を目的に、エッジAIチップの採用が進んでいます。自動車業界では、エッジAIチップは自律走行車に不可欠です。エッジAIチップは、センサー、カメラ、その他のソースからのデータをリアルタイムで分析し、瞬時の運転判断を可能にするからです。これらのチップは、物体検知から経路計画に至るまで、自動車の重要な機能に電力を供給し、安全で効率的な自律走行を保証します。産業用製造業もまた、エッジAIチップのメリットを享受している分野です。エッジAIチップを工場設備に組み込むことで、メーカーはリアルタイムでの予知保全、異常検知、品質管理を可能にしています。その結果、ダウンタイムの削減、メンテナンスコストの最小化、生産プロセスの最適化が実現します。さらにヘルスケア業界では、診断機器やウェアラブルデバイスにエッジAIチップを使用し、タイムリーな患者ケアをサポートするデータ分析をその場で行っています。エッジAIチップは患者データの即時処理を可能にし、健康問題の早期発見を促し、危機的状況における治療成果を向上させる。

小売業者もまた、パーソナライズされた顧客体験を提供するためにエッジAIチップを活用しており、これらのチップを使用して顧客行動を分析し、在庫を管理し、店内のナビゲーションを改善しています。スマートシェルフやその他の小売技術にエッジAIチップを導入することで、企業はクラウド接続に頼ることなく実用的な洞察を得ることができます。家電製品も同様に、スマートフォン、ARメガネ、バーチャルアシスタントなどのデバイスの機能性を向上させるためにエッジAIチップを採用しています。これらのデバイスでは、データがクラウドではなくデバイス上でローカルに処理されるため、エッジAIチップによって応答時間が短縮され、より没入感のある体験が可能になります。例えば、スマートフォンのAI搭載AR（拡張現実）機能は、エッジAIチップのおかげでラグなくシームレスに動作するようになりました。このように複数の業界で広く採用されていることから、エッジAIチップの汎用性が浮き彫りになっています。エッジAIチップは効率的でローカライズされた処理を可能にし、業界のイノベーションに新たな可能性をもたらすからです。

エッジAIチップ市場の成長の原動力は？

エッジAIチップ市場の成長は、IoTデバイスの需要拡大、プライバシーを重視する消費者の増加、チップ製造技術の革新など、いくつかの要因によってもたらされます。各業界におけるIoTデバイスの台頭は、エッジで生成されるデータの流入につながり、局所的な処理ソリューションに対する緊急のニーズを生み出しています。スマートシティからコネクテッドカーまで幅広いアプリケーションで、これらのデバイスはデータ処理を迅速かつ効率的に処理し、リアルタイム運用の要件を満たすエッジAIチップに依存しています。市場成長の重要な促進要因は、データ・プライバシーの世界の推進でもあります。プライバシー規制が強化される中、企業は外部サーバーへのデータ露出を制限するソリューションを求めており、機密データをデバイス上で直接処理できるエッジAIチップが支持されています。さらに、AR、VR、ビデオ分析のような高速で低遅延なアプリケーションの需要が高まる中、エッジAIチップはこれらのアプリケーションの高性能要求に応えるソリューションを提供し、市場の採用をさらに促進しています。

半導体技術の進歩もエッジAIチップ市場の成長に寄与しています。製造プロセスは、より小型で効率的なチップをサポートするように進化しており、現在では多くのメーカーが7nm、さらには5nmのプロセスノードを採用し、高性能でエネルギー効率の高いエッジAIチップの製造を可能にしています。消費者の行動は、特にスマートホームデバイス、ゲーム、健康モニタリングなどのアプリケーションにおいて、リアルタイム処理を好む方向にシフトしています。このシフトにより、デバイスメーカーはリアルタイム分析が可能なエッジAIチップを製品に統合する必要に迫られています。最後に、5Gネットワークとエッジコンピューティングの統合は、エッジAIチップの機能を強化する補完的なインフラを提供し、より高速で信頼性の高い接続を提供します。これらの要因が融合することで、エッジAIチップ市場の革新と拡大にとって機が熟した環境が醸成され、多様なアプリケーションと産業で需要が増加すると予想されます。

セグメント

プロセッサー（CPU、GPU、ASIC、その他プロセッサー）;デバイスタイプ（コンシューマーデバイス、エンタープライズデバイス）;機能（推論、トレーニング）

調査対象企業の例

  • 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.

AIインテグレーション

Global Industry Analystsは、有効な専門家コンテンツとAIツールによって、市場情報と競合情報を変革しています。

Global Industry Analystsは、LLMや業界固有のSLMを照会する一般的な規範に従う代わりに、ビデオ記録、ブログ、検索エンジン調査、膨大な量の企業、製品/サービス、市場データなど、世界中の専門家から収集したコンテンツのリポジトリを構築しました。

関税影響係数

Global Industry Analystsは、本社の国、製造拠点、輸出入（完成品とOEM）に基づく企業の競争力の変化を予測しています。この複雑で多面的な市場力学は、売上原価（COGS）の増加、収益性の低下、サプライチェーンの再構築など、ミクロおよびマクロの市場力学の中でも特に競合他社に影響を与える見込みです。

目次

第1章 調査手法

第2章 エグゼクティブサマリー

  • 市場概要
  • 主要企業
  • 市場動向と促進要因
  • 世界市場の見通し

第3章 市場分析

  • 米国
  • カナダ
  • 日本
  • 中国
  • 欧州
  • フランス
  • ドイツ
  • イタリア
  • 英国
  • その他欧州
  • アジア太平洋
  • その他の地域

第4章 競合

目次
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