자동차 엣지 컴퓨팅 게이트웨이 시장 : 기회, 성장 요인, 업계 동향 분석 및 예측(2025-2034년)

The Global Automotive Edge Computing Gateway Market was valued at USD 4.24 Billion in 2024 and is estimated to grow at a CAGR of 20.3% to reach USD 26.8 Billion by 2034.

The surge in market growth is driven by the increasing integration of smart in-vehicle electronics, connected and autonomous vehicles, and the need for real-time data processing. Stricter safety and cybersecurity regulations, rapid adoption of Advanced Driver Assistance Systems (ADAS), and the shift toward electric and software-defined vehicles are key factors accelerating demand. Automotive edge gateways serve as crucial computing nodes within vehicles, facilitating seamless data exchange between sensors, Electronic Control Units (ECUs), and cloud platforms, while ensuring low latency, high reliability, and secure communication. The pandemic exposed vulnerabilities in semiconductor supply chains, prompting investments in localized chip manufacturing, edge computing certifications, and resilient backup systems. Additionally, the expansion of connected mobility, electric vehicles, and intelligent fleet management has driven investments in edge computing units enabling Vehicle-to-Everything (V2X) communication and AI-powered predictive analytics.

The hardware segment held a 54% share and is forecasted to grow at a CAGR of 20.4% through 2034. Vehicles increasingly depend on high-performance computing components to manage real-time data, support ADAS, and enable autonomous functionalities. Microcontrollers, system-on-chip (SoC) modules, radar and lidar interface ICs, GPUs, and AI accelerators provide the computational power needed to process vast sensor data instantly.

The large enterprises segment held a 72% share and is projected to grow at a CAGR of 19.9% during 2025-2034. Large organizations lead due to extensive financial resources, advanced R&D capabilities, and the ability to integrate high-performance computing systems across extensive vehicle fleets. Economies of scale also enable these companies to deploy secure, scalable, and high-speed edge computing solutions on a global scale.

U.S. Automotive Edge Computing Gateway Market held 85% share and generated USD 1.09 Billion in 2024. Growth is fueled by the rise of connected and autonomous vehicles, which produce significant data streams from sensors, cameras, and telematics systems. Edge computing enables real-time processing, critical for enhancing safety, optimizing bandwidth, and improving user experience. Automakers and technology providers are increasingly deploying edge gateways to address latency challenges and enable faster decision-making.

Key players in the Global Automotive Edge Computing Gateway Market include NXP, Infineon, STMicroelectronics, Huawei, Continental, Bosch, NVIDIA, Qualcomm, Denso, and Renesas Electronics. Companies in the Automotive Edge Computing Gateway Market are leveraging innovation, strategic partnerships, and product diversification to strengthen their market presence. They are investing heavily in AI-enabled edge platforms and high-performance hardware to enhance processing capabilities for connected and autonomous vehicles. Collaborations with automakers and technology providers are accelerating the deployment of scalable and secure edge solutions. Firms are also focusing on R&D for energy-efficient computing modules, optimizing latency and bandwidth usage.

Table of Contents

Chapter 1 Methodology

• 1.1 Market scope and definition
• 1.2 Research design
  • 1.2.1 Research approach
  • 1.2.2 Data collection methods
• 1.3 Data mining sources
  • 1.3.1 Global
  • 1.3.2 Regional/Country
• 1.4 Base estimates and calculations
  • 1.4.1 Base year calculation
  • 1.4.2 Key trends for market estimation
• 1.5 Primary research and validation
  • 1.5.1 Primary sources
• 1.6 Forecast model
• 1.7 Research assumptions and limitations

Chapter 2 Executive Summary

• 2.1 Industry 360⁰ synopsis, 2021 - 2034
• 2.2 Key market trends
  • 2.2.1 Regional
  • 2.2.2 Component
  • 2.2.3 Application
  • 2.2.4 Deployment Mode
  • 2.2.5 Vehicle
  • 2.2.6 Enterprise Size
• 2.3 TAM Analysis, 2025-2034
• 2.4 CXO perspectives: Strategic imperatives
  • 2.4.1 Executive decision points
  • 2.4.2 Critical success factors
• 2.5 Future outlook and strategic recommendations

Chapter 3 Industry Insights

• 3.1 Industry ecosystem analysis
  • 3.1.1 Supplier landscape
  • 3.1.2 Profit margin analysis
  • 3.1.3 Cost structure
  • 3.1.4 Value addition at each stage
  • 3.1.5 Factor affecting the value chain
  • 3.1.6 Disruptions
• 3.2 Industry impact forces
  • 3.2.1 Growth drivers
    • 3.2.1.1 Rise of Connected and Autonomous Vehicles
    • 3.2.1.2 Expansion of Vehicle-to-Everything (V2X) Communication
    • 3.2.1.3 Integration of AI and Advanced Analytics
    • 3.2.1.4 Government Regulations and Safety Standards.
  • 3.2.2 Industry pitfalls & challenges
    • 3.2.2.1 High Hardware and Integration Costs
    • 3.2.2.2 Complexity of System Integration.
  • 3.2.3 Market opportunities
    • 3.2.3.1 Rapid Adoption in Electric and Smart Vehicles
    • 3.2.3.2 Emerging Markets in Asia-Pacific
    • 3.2.3.3 Partnerships with Cloud and Semiconductor Providers
    • 3.2.3.4 Edge-as-a-Service (EaaS) Models
• 3.3 Growth potential analysis
• 3.4 Regulatory landscape
  • 3.4.1 North America
  • 3.4.2 Europe
  • 3.4.3 Asia Pacific
  • 3.4.4 Latin America
  • 3.4.5 Middle East & Africa
• 3.5 Porter's analysis
• 3.6 PESTEL analysis
• 3.7 Technology and Innovation landscape
  • 3.7.1 Current technological trends
  • 3.7.2 Emerging technologies
• 3.8 Price trends
  • 3.8.1 By region
  • 3.8.2 By Products
• 3.9 Production statistics
  • 3.9.1 Production hubs
  • 3.9.2 Consumption hubs
  • 3.9.3 Export and import
• 3.10 Cost breakdown analysis
• 3.11 Patent analysis
• 3.12 Sustainability and environmental aspects
  • 3.12.1 Sustainable practices
  • 3.12.2 Waste reduction strategies
  • 3.12.3 Energy efficiency in production
  • 3.12.4 Eco-friendly initiatives
  • 3.12.5 Carbon footprint considerations
• 3.13 Critical industry gaps & pain points analysis
  • 3.13.1 Technical integration challenges
    • 3.13.1.1 Legacy system integration complexity
    • 3.13.1.2 Multi-protocol interoperability issues
    • 3.13.1.3 Real-time performance requirements
  • 3.13.2 Economic & business barriers
    • 3.13.2.1 High implementation costs
    • 3.13.2.2 ROI uncertainty & payback period concerns
    • 3.13.2.3 Business model transformation challenges
  • 3.13.3 Standardization & compliance gaps
    • 3.13.3.1 Lack of universal standards & apis
    • 3.13.3.2 Cybersecurity compliance complexity
    • 3.13.3.3 Cross-vendor interoperability issues
  • 3.13.4 Skills & talent shortage analysis
    • 3.13.4.1 Edge AI & machine learning expertise gap
    • 3.13.4.2 Automotive software integration skills
    • 3.13.4.3 Cybersecurity & compliance specialists

Chapter 4 Competitive Landscape, 2024

• 4.1 Introduction
• 4.2 Company market share analysis
  • 4.2.1 North America
  • 4.2.2 Europe
  • 4.2.3 Asia Pacific
  • 4.2.4 LATAM
  • 4.2.5 MEA
• 4.3 Competitive analysis of major market players
• 4.4 Competitive positioning matrix
• 4.5 Strategic outlook matrix
• 4.6 Key developments
  • 4.6.1 Mergers & acquisitions
  • 4.6.2 Partnerships & collaborations
  • 4.6.3 New Product Launches
  • 4.6.4 Expansion Plans and funding

Chapter 5 Market Estimates & Forecast, By Vehicle, 2021-2034 ($Bn, Units)

• 5.1 Key trends
  • 5.1.1 Passenger cars
    • 5.1.1.1 Hatchbacks
    • 5.1.1.2 Sedans
    • 5.1.1.3 SUVs
    • 5.1.1.4 MPVs
  • 5.1.2 Commercial vehicles
    • 5.1.2.1 Light commercial vehicles (LCVs)
    • 5.1.2.2 Medium commercial vehicles (MCVs)
    • 5.1.2.3 Heavy commercial vehicles (HCVs)

Chapter 6 Market Estimates & Forecast, By Component, 2021-2034 ($Bn, Units)

• 6.1 Key trends
• 6.2 Hardware
  • 6.2.1 SoC processor
  • 6.2.2 Microcontroller
  • 6.2.3 Networking/communication modules
  • 6.2.4 Interface modules/sensors
  • 6.2.5 Others
• 6.3 Software
  • 6.3.1 OS
  • 6.3.2 Encryption software
  • 6.3.3 OTA & diagnostic software
  • 6.3.4 Others
• 6.4 Services
  • 6.4.1 Integration services
  • 6.4.2 Maintenance and support services
  • 6.4.3 Consulting and customization services
  • 6.4.4 Compliance services

Chapter 7 Market Estimates & Forecast, By Deployment Mode, 2021-2034 ($Bn, units)

• 7.1 Key trends
• 7.2 On-Premises
• 7.3 Cloud
• 7.4 Hybrid

Chapter 8 Market Estimates & Forecast, By Application, 2021-2034 ($Bn, Units)

• 8.1 Key trends
• 8.2 Autonomous Driving
• 8.3 Predictive Maintenance
• 8.4 Infotainment Systems
• 8.5 Safety Systems
• 8.6 Fleet Analytics
• 8.7 Others

Chapter 9 Market Estimates & Forecast, By Enterprise Size, 2021-2034 ($Bn, Units)

• 9.1 Key trends
• 9.2 SME
• 9.3 Large enterprises

Chapter 10 Market Estimates & Forecast, By Region, 2021 - 2034 ($Bn, Units)

• 10.1 Key trends
• 10.2 North America
  • 10.2.1 US
  • 10.2.2 Canada
• 10.3 Europe
  • 10.3.1 Germany
  • 10.3.2 UK
  • 10.3.3 France
  • 10.3.4 Italy
  • 10.3.5 Spain
  • 10.3.6 Russia
  • 10.3.7 Nordics
• 10.4 Asia Pacific
  • 10.4.1 China
  • 10.4.2 India
  • 10.4.3 Japan
  • 10.4.4 Australia
  • 10.4.5 South Korea
  • 10.4.6 Philippines
  • 10.4.7 Indonesia
  • 10.4.8 Singapore
• 10.5 Latin America
  • 10.5.1 Brazil
  • 10.5.2 Mexico
  • 10.5.3 Argentina
• 10.6 MEA
  • 10.6.1 South Africa
  • 10.6.2 Saudi Arabia
  • 10.6.3 UAE

Chapter 11 Company Profiles

• 11.1 Global Players
  • 11.1.1 Amazon
  • 11.1.2 AMD
  • 11.1.3 Cisco
  • 11.1.4 Huawei
  • 11.1.5 Infineon
  • 11.1.6 NVIDIA
  • 11.1.7 NXP Semiconductors
  • 11.1.8 Qualcomm Technologies
  • 11.1.9 Renesas Electronics
  • 11.1.10 STMicroelectronics
• 11.2 Regional Players
  • 11.2.1 Aptiv
  • 11.2.2 Autotalks
  • 11.2.3 Bosch
  • 11.2.4 Continental
  • 11.2.5 Denso Corporation
  • 11.2.6 Mobileye
  • 11.2.7 Siemens
  • 11.2.8 Valeo
  • 11.2.9 ZF Friedrichshafen
• 11.3 Emerging Players
  • 11.3.1 BlackBerry Limited (QNX)
  • 11.3.2 Hewlett Packard Enterprise (HPE)