한글목차

세계 엣지 AI 임베디드 PC 시장의 미래는 의료, 산업, 자동차, 항공우주 시장에서의 기회로 인해 유망합니다. 세계 엣지 AI 임베디드 PC 시장은 2025년부터 2031년까지 CAGR 14.6%로 성장할 것으로 예상됩니다. 이 시장의 주요 촉진요인은 엣지에서의 실시간 처리 및 분석에 대한 수요 증가, IoT 디바이스의 성장과 로컬 데이터 처리의 필요성, AI 및 머신러닝 기능의 발전입니다.

• Lucintel의 예측에 따르면, 프로세서별로는 인텔이 예측 기간 동안 높은 성장세를 보일 것으로 예상됩니다.
• 용도별로는 의료 분야가 가장 큰 부문을 차지할 것으로 보입니다.
• 지역별로는 아시아태평양이 예측 기간 동안 가장 높은 성장세를 보일 것으로 예상됩니다.

엣지 AI 임베디드 PC 시장의 전략적 성장 기회

기업들이 엣지 컴퓨팅을 다양한 용도에 활용하고자 하면서 엣지 AI 임베디드 PC 시장에서 전략적 성장 기회가 나타나고 있습니다. 이러한 기회를 포착하는 것은 첨단 엣지 솔루션에 대한 수요 증가를 활용하고자 하는 기업들에게 매우 중요합니다.

• 스마트 시티 개발 : 스마트 시티 개발은 엣지 AI 임베디드 PC에 큰 성장 기회를 제공합니다. 이러한 장치는 도시 인프라, 교통 시스템, 치안 관리에 필수적이며, 도시 관리를 강화하고 주민의 삶의 질을 향상시키는 실시간 데이터 처리 및 분석을 제공합니다.
• 산업 자동화 : 산업 자동화는 주요 성장 기회이며, 엣지 AI 임베디드 PC는 제조 공정을 관리하고 최적화하는 데 중요한 역할을 합니다. 이러한 장치는 실시간 모니터링, 예지보전 및 제어를 강화하여 산업 환경에서 효율성을 높이고 다운타임을 줄일 수 있도록 도와줍니다.
• 헬스케어 혁신 : 헬스케어 분야에서 엣지 AI 임베디드 PC는 환자 모니터링, 진단 및 원격의료 분야에서 발전의 기회를 제공합니다. 엣지에서의 데이터 처리를 통해 의료 전문가에게 적시에 인사이트와 지원을 제공함으로써 의료 시설의 환자 관리와 운영 효율성을 향상시킬 수 있습니다.
• 소매업과 고객 경험 : 소매업계는 고도의 분석과 개인화를 통해 고객 경험을 향상시키기 위해 엣지 AI 임베디드 PC를 활용하고 있습니다. 이러한 디바이스는 재고 관리, 고객 행동 분석, 개인화된 프로모션을 위한 실시간 데이터 처리를 가능하게 하여 소매업계의 성장을 촉진하고 있습니다.
• 자율주행차 : 자율주행차는 엣지 AI 임베디드 PC에 큰 성장 기회가 될 것입니다. 이러한 장치는 센서와 카메라의 데이터를 실시간으로 처리하는 데 필수적이며, 자율주행차의 안전하고 효율적인 운전을 가능하게 합니다. 엣지 솔루션의 개발 및 배포는 자율주행차 기술의 발전에 필수적입니다.

이러한 성장 기회는 다양한 애플리케이션의 특정 요구를 충족시키면서 엣지 AI 임베디드 PC 시장의 성장을 촉진하고 있습니다. 스마트 시티, 산업 자동화, 헬스케어, 소매, 자율주행차에 대한 집중은 시장을 형성하고 혁신과 투자의 새로운 길을 제공하고 있습니다.

엣지 AI 임베디드 PC 시장의 촉진요인 및 과제

엣지 AI 임베디드 PC 시장은 성장과 개척에 영향을 미치는 다양한 촉진요인과 과제에 영향을 받고 있습니다. 이러한 요인에는 엣지 컴퓨팅의 미래를 형성하는 기술 발전, 경제 상황, 규제적 고려 사항 등이 포함됩니다.

엣지 AI 임베디드 PC 시장을 주도하는 요소는 다음과 같습니다:

• AI 및 IoT 기술 발전 : AI 및 IoT 기술 발전은 엣지 AI 임베디드 PC 시장의 성장을 촉진할 것입니다. 머신러닝, 데이터 분석, 센서 기술의 혁신은 엣지 디바이스의 기능을 향상시키고, 엣지에서의 보다 고도화되고 효율적인 데이터 처리를 가능하게 합니다.
• 실시간 데이터 처리 수요 증가 : 다양한 애플리케이션에서 실시간 데이터 처리에 대한 요구가 증가하고 있는 것이 큰 원동력이 되고 있습니다. 엣지 AI 임베디드 PC는 데이터를 로컬에서 처리하는 데 필요한 연산 능력과 속도를 제공하여 대기 시간을 단축하고 자율주행차, 스마트 시티 등의 애플리케이션 성능을 향상시킵니다.
• 5G 네트워크의 확장 : 5G 네트워크의 확장은 더 높은 대역폭과 더 낮은 대기 시간을 제공함으로써 엣지 AI 임베디드 PC 시장을 촉진할 것입니다. 이러한 발전은 에지 디바이스의 성능을 향상시키고, 보다 효율적인 데이터 전송 및 처리를 가능하게 하여 엣지 컴퓨팅 애플리케이션의 성장을 지원할 것입니다.
• 스마트 기기 채택 증가 : 스마트 기기 및 IoT 솔루션의 채택이 증가함에 따라 엣지 AI 임베디드 PC의 수요가 증가하고 있습니다. 이러한 디바이스는 다양한 스마트 기기의 데이터 관리 및 분석에 필수적이며, 헬스케어, 소매, 산업 자동화 등의 분야에서의 애플리케이션을 지원합니다.
• 정부 지원 및 자금 조달 : 기술 혁신과 디지털 혁신에 대한 정부 지원 및 자금 조달은 주요 촉진요인입니다. 스마트 인프라와 디지털화에 대한 노력과 투자는 엣지 AI 임베디드 PC의 개발 및 도입을 촉진하고 시장 성장을 촉진할 것입니다.

엣지 AI 임베디드 PC 시장의 과제는 다음과 같습니다:

• 보안에 대한 우려 : 보안에 대한 우려는 엣지 AI 임베디드 PC 시장의 큰 과제입니다. 기밀 데이터 보호와 사이버 공격 방지는 중요한 과제이며, 엣지 디바이스와 그 디바이스가 처리하는 데이터를 보호하기 위한 강력한 보안 조치와 프로토콜이 필요합니다.
• 높은 도입 비용 : 엣지 AI 임베디드 PC 도입에 따른 높은 비용은 특히 중소기업의 경우 도입 장벽이 될 수 있습니다. 고급 하드웨어 및 통합 비용은 예산 제약에 영향을 미치고, 엣지 솔루션에 대한 접근성 및 확장성을 제한할 수 있습니다.
• 통합의 복잡성 : 엣지 컴퓨팅 솔루션을 도입하려면 기존 시스템 및 인프라와의 통합이 필요한 경우가 많기 때문에 통합의 복잡성 또한 문제입니다. 호환성과 원활한 운영을 보장하는 것은 어려운 일이며, 잠재적인 문제를 해결하기 위해 신중한 계획과 전문 지식이 필요합니다.

엣지 AI 임베디드 PC 시장에 영향을 미치는 촉진요인과 도전과제는 업계의 역동적인 특성을 잘 보여줍니다. 기술 발전, 실시간 처리에 대한 수요, 정부 지원은 성장을 촉진하는 반면, 보안 문제, 높은 비용, 통합의 복잡성 등은 큰 도전이 되고 있습니다. 이러한 요인들을 해결하는 것은 엣지 컴퓨팅 솔루션의 지속적인 개발과 채택에 있어 매우 중요합니다.

목차

제1장 주요 요약

제2장 세계의 엣지 AI 임베디드 PC 시장 : 시장 역학

• 소개, 배경, 분류
• 공급망
• 업계 성장 촉진요인과 과제

제3장 2019년부터 2031년까지 시장 동향과 예측 분석

• 거시경제 동향(2019-2024년)과 예측(2025-2031년)
• 세계의 엣지 AI 임베디드 PC 시장 동향(2019-2024년)과 예측(2025-2031년)
• 프로세서별, 세계의 엣지 AI 임베디드 PC 시장
  • 인텔
  • NVIDIA
• 용도별, 세계의 엣지 AI 임베디드 PC 시장
  • 의학
  • 산업
  • 자동차
  • 항공우주
  • 기타

제4장 2019년부터 2031년까지 지역별 시장 동향과 예측 분석

• 지역별 세계의 엣지 AI 임베디드 PC 시장
• 북미의 엣지 AI 임베디드 PC 시장
• 유럽의 엣지 AI 임베디드 PC 시장
• 아시아태평양의 엣지 AI 임베디드 PC 시장
• 기타 지역의 엣지 AI 임베디드 PC 시장

제5장 경쟁 분석

• 제품 포트폴리오 분석
• 운영 통합
• Porter's Five Forces 분석

제6장 성장 기회와 전략 분석

• 성장 기회 분석
  • 프로세서별, 세계의 엣지 AI 임베디드 PC 시장 성장 기회
  • 용도별, 세계의 엣지 AI 임베디드 PC 시장 성장 기회
  • 지역별, 세계의 엣지 AI 임베디드 PC 시장 성장 기회
• 세계의 엣지 AI 임베디드 PC 시장의 새로운 동향
• 전략 분석
  • 신제품 개발
  • 세계의 엣지 AI 임베디드 PC 시장 용량 확대
  • 세계의 엣지 AI 임베디드 PC 시장 합병, 인수, 합작투자
  • 인증과 라이선싱

제7장 주요 기업 개요

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

영문목차

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.

Gain valuable insights for your business decisions with our comprehensive 150+ page report.

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