エッジAI組込みPC市場レポート：2031年までの動向、予測、競合分析

世界のエッジAI組込みPC市場の将来性は、医療、産業、自動車、航空宇宙市場での機会で有望視されています。世界のエッジAI組込みPC市場は、2025年から2031年にかけてCAGR 14.6％で成長すると予測されます。この市場の主な促進要因は、エッジでのリアルタイム処理と分析に対する需要の高まり、IoTデバイスの成長とローカルデータ処理の必要性、AIと機械学習機能の進歩です。

• Lucintelの予測では、プロセッサ別では、インテルが予測期間中に高い成長を遂げる見込みです。
• 用途別では、医療が最大のセグメントであり続けると思われます。
• 地域別では、アジア太平洋が予測期間中に最も高い成長を遂げる見込みです。

エッジAI組込みPC市場の戦略的成長機会

企業がさまざまな用途にエッジコンピューティングを活用しようとしていることから、エッジAI組込みPC市場における戦略的成長機会が出現しています。このような機会を見極めることは、先進的なエッジソリューションに対する需要の高まりを活用することを目指す企業にとって極めて重要です。

• スマートシティ開発：スマートシティの開発は、エッジAI組込みPCに大きな成長機会をもたらします。これらのデバイスは、都市インフラ、交通システム、治安の管理に不可欠であり、都市管理を強化し、住民の生活の質を向上させるリアルタイムのデータ処理と分析を提供します。
• 産業オートメーション：産業オートメーションは主要な成長機会であり、エッジAI組込みPCは製造プロセスの管理と最適化において重要な役割を果たしています。これらのデバイスは、リアルタイムのモニタリング、予知保全、制御の強化を可能にし、産業環境における効率の向上とダウンタイムの短縮につながります。
• ヘルスケアの革新：ヘルスケアでは、エッジAI組込みPCが患者のモニタリング、診断、遠隔医療における進歩の機会を提供します。エッジでデータを処理することで、これらのデバイスは医療専門家にタイムリーな洞察とサポートを提供し、ヘルスケア施設における患者ケアと業務効率を向上させることができます。
• 小売業とカスタマー・エクスペリエンス：小売業界では、高度な分析とパーソナライゼーションを通じて顧客体験を向上させるために、エッジAI組込みPCを活用しています。これらのデバイスは、在庫管理、顧客行動分析、パーソナライズされたプロモーションのためのリアルタイムのデータ処理を可能にし、小売業界の成長を促進しています。
• 自律走行車：自律走行車は、エッジAI組込みPCにとって大きな成長機会となります。これらのデバイスは、センサーやカメラからのデータをリアルタイムで処理するために不可欠であり、自動運転車の安全で効率的な運転を可能にします。エッジソリューションの開発と展開は、自律走行車技術の進歩に不可欠です。

こうした成長機会は、さまざまな用途における特定のニーズに対応することで、エッジAI組込みPC市場の拡大を後押ししています。スマートシティ、産業オートメーション、ヘルスケア、小売、自律走行車への注力は市場を形成し、イノベーションと投資の新たな道を提供しています。

エッジAI組込みPC市場の促進要因・課題

エッジAI組込みPC市場は、その成長と開拓に影響を与える様々な促進要因・課題の影響を受けています。これらの要因には、エッジコンピューティングの将来を形成する技術的進歩、経済状況、規制上の考慮事項などが含まれます。

エッジAI組込みPC市場を牽引する要因には以下が含まれます：

• AIとIoTの技術進歩：AIとIoTの技術進歩がエッジAI組込みPC市場の成長を促進します。機械学習、データ分析、センサー技術の革新により、エッジデバイスの機能が強化され、エッジでのより高度で効率的なデータ処理が可能になります。
• リアルタイムデータ処理の需要増加：さまざまなアプリケーションでリアルタイムデータ処理のニーズが高まっていることが、大きな推進力となっています。エッジAI組込みPCは、データをローカルで処理するために必要な計算能力と速度を提供し、待ち時間を短縮して、自律走行車やスマートシティなどのアプリケーションのパフォーマンスを向上させます。
• 5Gネットワークの拡大：5Gネットワークの拡大は、より高い帯域幅とより低い待ち時間を提供することで、エッジAI組込みPC市場を後押しします。この開発により、エッジデバイスの性能が向上し、より効率的なデータ伝送と処理が可能になり、エッジコンピューティング・アプリケーションの成長を支えます。
• スマートデバイスの採用増加：スマートデバイスとIoTソリューションの採用が増加していることが、エッジAI組込みPCの需要を促進しています。これらのデバイスは、さまざまなスマートデバイスからのデータの管理と分析に不可欠であり、ヘルスケア、小売、産業オートメーションなどの分野のアプリケーションをサポートします。
• 政府の支援と資金調達：技術革新とデジタルトランスフォーメーションに対する政府の支援と資金調達は主要な促進要因です。スマートインフラとデジタル化への取り組みと投資は、エッジAI組込みPCの開発と導入を促進し、市場の成長を促進します。

エッジAI組込みPC市場の課題は以下の通りです：

• セキュリティへの懸念：セキュリティへの懸念は、エッジAI組込みPC市場にとって大きな課題です。機密データの保護とサイバー攻撃の防止は重要な課題であり、エッジデバイスとそれらが処理するデータを保護するための強固なセキュリティ対策とプロトコルが必要です。
• 高い導入コスト：エッジAI組込みPCの導入に伴う高コストは、特に中小企業にとっては導入の障壁となる可能性があります。高度なハードウェアと統合にかかる費用は予算の制約に影響し、エッジソリューションへのアクセスや拡張性を制限する可能性があります。
• 統合の複雑さ：エッジコンピューティングソリューションの導入には、既存のシステムやインフラストラクチャとの統合が必要になることが多いため、統合の複雑さも課題となります。互換性とシームレスな運用を確保することは困難であり、潜在的な問題に対処するための慎重な計画と専門知識が必要となります。

エッジAI組込みPC市場に影響を与える促進要因・課題は、業界のダイナミックな性質を浮き彫りにしています。技術の進歩、リアルタイム処理の需要、政府の支援が成長を促進する一方で、セキュリティへの懸念、高コスト、統合の複雑性が大きな課題となっています。これらの要因に対処することは、エッジコンピューティングソリューションの継続的な開発と採用にとって極めて重要です。

目次

第1章 エグゼクティブサマリー

第2章 世界のエッジAI組込みPC市場：市場力学

• イントロダクション、背景、分類
• サプライチェーン
• 業界の促進要因と課題

第3章 2019年から2031年までの市場動向と予測分析

• マクロ経済動向（2019～2024年）と予測（2025～2031年）
• 世界のエッジAI組込みPC市場の動向（2019～2024年）と予測（2025～2031年）
• プロセッサ別、世界のエッジAI組込みPC市場
  • インテル
  • NVIDIA
• 用途別、世界のエッジAI組込みPC市場
  • 医学
  • 産業
  • 自動車
  • 航空宇宙
  • その他

第4章 2019年から2031年までの地域別市場動向と予測分析

• 地域別の世界のエッジAI組込みPC市場
• 北米のエッジAI組込みPC市場
• 欧州のエッジAI組込みPC市場
• アジア太平洋のエッジAI組込みPC市場
• その他地域のエッジAI組込みPC市場

第5章 競合分析

• 製品ポートフォリオ分析
• 運用統合
• ポーターのファイブフォース分析

第6章 成長機会と戦略分析

• 成長機会分析
  • プロセッサ別、世界のエッジAI組込みPC市場の成長機会
  • 用途別、世界のエッジAI組込みPC市場の成長機会
  • 地域別、世界のエッジAI組込みPC市場の成長機会
• 世界のエッジAI組込みPC市場の新たな動向
• 戦略分析
  • 新製品開発
  • 世界のエッジAI組込みPC市場の容量拡大
  • 世界のエッジAI組込みPC市場における合併、買収、合弁事業
  • 認証とライセンシング

第7章 主要企業の企業プロファイル

• AAEON
• Winmate
• ADLINK
• NEXCOM
• Axiomtek
• Advantech
• Industrial PC Pro

The future of the global edge AI embedded PCs market looks promising with opportunities in the medical, industrial, automotive, and aerospace markets. The global edge AI embedded PCs market is expected to grow with a CAGR of 14.6% from 2025 to 2031. The major drivers for this market are the increasing demand for real-time processing and analytics at the edge, the growth of IoT devices and the need for local data processing, and advancements in AI and machine learning capabilities.

• Lucintel forecasts that, within the processor category, intel is expected to witness higher growth over the forecast period.
• Within the application category, medical will remain the largest segment.
• In terms of regions, APAC is expected to witness the highest growth over the forecast period.

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Emerging Trends in the Edge AI Embedded PCs Market

Emerging trends in the edge AI embedded PCs market reflect the rapid advancements in technology and shifting industry needs. These trends are reshaping how edge devices are designed, deployed, and utilized, with a strong emphasis on performance, scalability, and integration with other technologies.

• Increased Integration of AI Capabilities: Edge AI embedded PCs are increasingly incorporating advanced AI algorithms and models, enabling more sophisticated data processing and decision-making at the edge. This trend is driving improvements in automation, predictive analytics, and real-time response, enhancing operational efficiency and reducing latency in various applications.
• Growth of Smart Cities and Infrastructure: The expansion of smart cities is a major trend driving the demand for edge AI embedded PCs. These devices are essential for managing and analyzing data from urban infrastructure, including traffic systems, surveillance, and utilities. The integration of edge AI helps with real-time monitoring and decision-making, improving city management and services.
• Rise of Industrial IoT Applications: Edge AI embedded PCs are becoming critical in industrial IoT applications, where they enable real-time analytics and control of industrial processes. The trend toward smarter factories and predictive maintenance is increasing the need for robust edge devices that can handle complex tasks and improve operational efficiency.
• Enhanced Security Features: As data security becomes a growing concern, edge AI embedded PCs are being designed with advanced security features. This trend includes the integration of encryption, secure boot, and tamper detection to protect sensitive data and ensure the integrity of edge devices in various applications, from financial services to healthcare.
• Miniaturization and Increased Power Efficiency: The miniaturization of edge AI devices and improvements in power efficiency are significant trends in the market. Smaller, more efficient edge PCs are becoming available, allowing for deployment in a wider range of environments and applications. This trend is crucial for enhancing the scalability and flexibility of edge computing solutions.

These trends are significantly reshaping the edge AI embedded PCs market by enhancing capabilities, expanding applications, and addressing critical challenges. The focus on AI integration, smart infrastructure, and security is driving innovation and growth, positioning edge computing as a pivotal technology in various sectors.

Recent Developments in the Edge AI Embedded PCs Market

Recent key developments in the edge AI embedded PCs market highlight the rapid technological progress and growing adoption across various sectors. These advancements reflect broader trends in AI, IoT, and edge computing, influencing how businesses deploy and utilize embedded systems.

• Advancements in AI Hardware: Recent advancements in AI hardware have significantly boosted the performance of edge AI embedded PCs. New processors and accelerators are being developed to handle complex AI algorithms more efficiently, resulting in faster data processing and enhanced capabilities for edge devices in various applications.
• Growth of Edge Computing Ecosystems: The expansion of edge computing ecosystems is a key development, with more integrated solutions being introduced. These ecosystems combine hardware, software, and connectivity to provide comprehensive edge AI solutions, making it easier for businesses to deploy and manage edge devices across different environments.
• Adoption of 5G Technology: The rollout of 5G technology is driving growth in the edge AI embedded PCs market by providing higher bandwidth and lower latency. This development enhances the performance of edge devices, enabling real-time data processing and analytics for applications such as autonomous vehicles and smart cities.
• Increased Focus on Energy Efficiency: There is a growing emphasis on energy efficiency in edge AI embedded PCs. Recent developments include the implementation of low-power processors and energy-saving features, addressing the need for sustainable and cost-effective edge solutions, especially in remote or resource-constrained environments.
• Expansion into New Markets: Edge AI embedded PCs are expanding into new markets and industries, including agriculture, retail, and healthcare. This diversification is driven by the increasing versatility of edge devices and their ability to address specific needs in various sectors, leading to broader adoption and application.

These developments are shaping the edge AI embedded PCs market by enhancing performance, expanding applications, and addressing emerging needs. The focus on advanced hardware, ecosystem growth, and energy efficiency is driving innovation and increasing the relevance of edge computing across diverse industries.

Strategic Growth Opportunities for Edge AI Embedded PCs Market

Strategic growth opportunities in the edge AI embedded PCs market are emerging as companies seek to leverage edge computing for a variety of applications. Identifying these opportunities is crucial for businesses aiming to capitalize on the growing demand for advanced-edge solutions.

• Smart Cities Development: The development of smart cities presents significant growth opportunities for edge AI embedded PCs. These devices are essential for managing urban infrastructure, traffic systems, and public safety, offering real-time data processing and analytics that enhance city management and improve the quality of life for residents.
• Industrial Automation: Industrial automation is a key growth opportunity, with edge AI embedded PCs playing a crucial role in managing and optimizing manufacturing processes. These devices enable real-time monitoring, predictive maintenance, and enhanced control, leading to increased efficiency and reduced downtime in industrial settings.
• Healthcare Innovations: In healthcare, edge AI embedded PCs offer opportunities for advancements in patient monitoring, diagnostics, and telemedicine. By processing data at the edge, these devices can provide timely insights and support for medical professionals, improving patient care and operational efficiency in healthcare facilities.
• Retail and Customer Experience: The retail sector is leveraging edge AI embedded PCs to enhance customer experiences through advanced analytics and personalization. These devices enable real-time data processing for inventory management, customer behavior analysis, and personalized promotions, driving growth in the retail industry.
• Autonomous Vehicles: Autonomous vehicles represent a major growth opportunity for edge AI embedded PCs. These devices are critical for real-time processing of data from sensors and cameras, enabling the safe and efficient operation of self-driving cars. The development and deployment of edge solutions are essential for advancing autonomous vehicle technology.

These growth opportunities are driving the expansion of the edge AI embedded PCs market by addressing specific needs in various applications. The focus on smart cities, industrial automation, healthcare, retail, and autonomous vehicles is shaping the market and offering new avenues for innovation and investment.

Edge AI Embedded PCs Market Driver and Challenges

The edge AI embedded PCs market is influenced by various drivers and challenges that impact its growth and development. These factors include technological advancements, economic conditions, and regulatory considerations, shaping the future of edge computing.

The factors responsible for driving the edge AI embedded PCs market include:

• Technological Advancements in AI and IoT: Technological advancements in AI and IoT drive the growth of the edge AI embedded PCs market. Innovations in machine learning, data analytics, and sensor technology enhance the capabilities of edge devices, enabling more sophisticated and efficient data processing at the edge.
• Increasing Demand for Real-Time Data Processing: The growing need for real-time data processing in various applications is a significant driver. Edge AI embedded PCs provide the necessary computational power and speed to process data locally, reducing latency and improving the performance of applications such as autonomous vehicles and smart cities.
• Expansion of 5G Networks: The expansion of 5G networks boosts the edge AI embedded PCs market by offering higher bandwidth and lower latency. This development enhances the performance of edge devices and enables more efficient data transmission and processing, supporting the growth of edge computing applications.
• Rising Adoption of Smart Devices: The increasing adoption of smart devices and IoT solutions drives demand for edge AI embedded PCs. These devices are integral to managing and analyzing data from various smart devices, supporting applications in sectors such as healthcare, retail, and industrial automation.
• Government Support and Funding: Government support and funding for technological innovation and digital transformation are key drivers. Initiatives and investments in smart infrastructure and digitalization promote the development and deployment of edge AI embedded PCs, fostering market growth.

Challenges in the edge AI embedded PCs market are:

• Security Concerns: Security concerns are a major challenge for the edge AI embedded PCs market. Ensuring the protection of sensitive data and preventing cyberattacks are critical issues, requiring robust security measures and protocols to safeguard edge devices and the data they process.
• High Costs of Deployment: The high costs associated with deploying edge AI embedded PCs can be a barrier to adoption, particularly for smaller organizations. The expense of advanced hardware and integration can impact budget constraints, limiting the accessibility and scalability of edge solutions.
• Integration Complexity: Integration complexity is another challenge, as deploying edge computing solutions often involves integrating with existing systems and infrastructure. Ensuring compatibility and seamless operation can be challenging, requiring careful planning and expertise to address potential issues.

The drivers and challenges impacting the edge AI embedded PCs market highlight the dynamic nature of the industry. Technological advancements, demand for real-time processing, and government support drive growth, while security concerns, high costs, and integration complexity present significant challenges. Addressing these factors is crucial for the continued development and adoption of edge computing solutions.

List of Edge AI Embedded PCs Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. Through these strategies edge AI embedded PCs companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the edge AI embedded PCs companies profiled in this report include-

• AAEON
• Winmate
• ADLINK
• NEXCOM
• Axiomtek
• Advantech
• Industrial PC Pro

Edge AI Embedded PCs by Segment

The study includes a forecast for the global edge AI embedded PCs market by processor, application, and region.

Edge AI Embedded PCs Market by Processor [Analysis by Value from 2019 to 2031]:

• Intel
• NVIDIA

Edge AI Embedded PCs Market by Application [Analysis by Value from 2019 to 2031]:

• Medical
• Industrial
• Automotive
• Aerospace
• Others

Edge AI Embedded PCs Market by Region [Analysis by Value from 2019 to 2031]:

• North America
• Europe
• Asia Pacific
• The Rest of the World

Country Wise Outlook for the Edge AI Embedded PCs Market

The edge AI embedded PCs market is evolving rapidly due to technological advancements and shifting industry demands. These systems integrate artificial intelligence (AI) capabilities directly into embedded computing units at the network edge, enhancing processing power, speed, and data management. As businesses and governments across the globe leverage these technologies, there are notable regional developments shaping the market. The following sections explore recent advancements, emerging trends, key developments, growth opportunities, and the major drivers and challenges in this dynamic sector.

• United States: The U.S. has seen significant growth in edge AI embedded PCs, driven by advancements in AI and IoT technologies. Major tech companies invest heavily in edge computing solutions to enhance data processing and real-time analytics. The rise of smart cities and autonomous vehicles further fuels demand. Key developments include increased adoption of AI-powered edge devices in sectors like manufacturing and healthcare.
• China: China rapidly advances in the edge AI embedded PCs sector, with a strong focus on integrating AI into various industrial applications. Government support for technological innovation and smart infrastructure accelerates market growth. Chinese firms also make strides in developing high-performance, cost-effective edge AI solutions, contributing to increased adoption in sectors such as retail and security.
• Germany: Germany's edge AI embedded PCs market is driven by its strong industrial base and focus on automation. German companies implement AI-driven edge computing to enhance manufacturing processes and improve efficiency. Recent developments include collaborations between tech firms and industrial giants to deploy smart factories and advanced monitoring systems, fostering significant growth in the market.
• India: In India, the edge AI embedded PCs market is emerging with increased emphasis on smart cities and digital infrastructure. The government push for digital transformation and the rise of the IT sector drive adoption. Recent advancements include local startups and tech companies developing innovative edge solutions for applications in agriculture, healthcare, and urban management.
• Japan: Japan's edge AI embedded PCs market is characterized by its focus on robotics and automation. The integration of AI into edge computing supports advancements in manufacturing and logistics. Key developments include the deployment of AI-powered edge solutions for precision agriculture and smart factories, driven by Japan's leadership in technology and innovation.

Features of the Global Edge AI Embedded PCs Market

Market Size Estimates: Edge AI embedded PCs market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2019 to 2024) and forecast (2025 to 2031) by various segments and regions.

Segmentation Analysis: Edge AI embedded PCs market size by processor, application, and region in terms of value ($B).

Regional Analysis: Edge AI embedded PCs market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different processors, applications, and regions for the edge AI embedded PCs market.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of the edge AI embedded PCs market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

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This report answers following 11 key questions:

• Q.1. What are some of the most promising, high-growth opportunities for the edge AI embedded PCs market by processor (intel and NVIDIA), application (medical, industrial, automotive, aerospace, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
• Q.2. Which segments will grow at a faster pace and why?
• Q.3. Which region will grow at a faster pace and why?
• Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
• Q.5. What are the business risks and competitive threats in this market?
• Q.6. What are the emerging trends in this market and the reasons behind them?
• Q.7. What are some of the changing demands of customers in the market?
• Q.8. What are the new developments in the market? Which companies are leading these developments?
• Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
• Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
• Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

Table of Contents

1. Executive Summary

2. Global Edge AI Embedded PCs Market : Market Dynamics

• 2.1: Introduction, Background, and Classifications
• 2.2: Supply Chain
• 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2019 to 2031

• 3.1. Macroeconomic Trends (2019-2024) and Forecast (2025-2031)
• 3.2. Global Edge AI Embedded PCs Market Trends (2019-2024) and Forecast (2025-2031)
• 3.3: Global Edge AI Embedded PCs Market by Processor
  • 3.3.1: Intel
  • 3.3.2: NVIDIA
• 3.4: Global Edge AI Embedded PCs Market by Application
  • 3.4.1: Medical
  • 3.4.2: Industrial
  • 3.4.3: Automotive
  • 3.4.4: Aerospace
  • 3.4.5: Others

4. Market Trends and Forecast Analysis by Region from 2019 to 2031

• 4.1: Global Edge AI Embedded PCs Market by Region
• 4.2: North American Edge AI Embedded PCs Market
  • 4.2.1: North American Market by Processor: Intel and NVIDIA
  • 4.2.2: North American Market by Application: Medical, Industrial, Automotive, Aerospace, and Others
• 4.3: European Edge AI Embedded PCs Market
  • 4.3.1: European Market by Processor: Intel and NVIDIA
  • 4.3.2: European Market by Application: Medical, Industrial, Automotive, Aerospace, and Others
• 4.4: APAC Edge AI Embedded PCs Market
  • 4.4.1: APAC Market by Processor: Intel and NVIDIA
  • 4.4.2: APAC Market by Application: Medical, Industrial, Automotive, Aerospace, and Others
• 4.5: ROW Edge AI Embedded PCs Market
  • 4.5.1: ROW Market by Processor: Intel and NVIDIA
  • 4.5.2: ROW Market by Application: Medical, Industrial, Automotive, Aerospace, and Others

5. Competitor Analysis

• 5.1: Product Portfolio Analysis
• 5.2: Operational Integration
• 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

• 6.1: Growth Opportunity Analysis
  • 6.1.1: Growth Opportunities for the Global Edge AI Embedded PCs Market by Processor
  • 6.1.2: Growth Opportunities for the Global Edge AI Embedded PCs Market by Application
  • 6.1.3: Growth Opportunities for the Global Edge AI Embedded PCs Market by Region
• 6.2: Emerging Trends in the Global Edge AI Embedded PCs Market
• 6.3: Strategic Analysis
  • 6.3.1: New Product Development
  • 6.3.2: Capacity Expansion of the Global Edge AI Embedded PCs Market
  • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Edge AI Embedded PCs Market
  • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

• 7.1: AAEON
• 7.2: Winmate
• 7.3: ADLINK
• 7.4: NEXCOM
• 7.5: Axiomtek
• 7.6: Advantech
• 7.7: Industrial PC Pro