자동차용 데이터 수집 시장 예측(-2034년) : 컴포넌트, 차종, 구동 방식, 데이터 수집 방식, 도입 형태, 접속성, 통신 프로토콜, 용도, 최종사용자 및 지역별 세계 분석

According to Stratistics MRC, the Global Automotive Data Acquisition Market is accounted for $5.3 billion in 2026 and is expected to reach $10.3 billion by 2034 growing at a CAGR of 8.7% during the forecast period. Automotive data acquisition refers to the systematic collection, measurement, and recording of vehicle parameters such as speed, temperature, vibration, emissions, and sensor inputs for analysis and optimization. These systems are essential for vehicle testing, validation, diagnostics, and autonomous driving development across the automotive industry. The market encompasses hardware modules, software platforms, and integrated solutions deployed in research laboratories, proving grounds, and real-world driving environments. As vehicles become increasingly software-defined and data-intensive, the demand for high-fidelity data acquisition solutions continues to expand rapidly.

Market Dynamics:

Driver:

Rising development of autonomous and connected vehicles

The automotive industry's accelerated push toward self-driving technology creates unprecedented demand for sophisticated data acquisition systems. Autonomous vehicles generate terabytes of data per hour from cameras, LiDAR, radar, and ultrasonic sensors, requiring robust acquisition platforms to capture, synchronize, and store this information for algorithm training and validation. Engineering teams need precise time-stamped data streams to correlate sensor inputs with vehicle responses in diverse driving scenarios. This data-intensive development cycle, combined with the need for continuous over-the-air updates and real-world fleet learning, drives sustained investment in high-bandwidth, reliable data acquisition infrastructure across both legacy automakers and technology entrants.

Restraint:

High implementation and infrastructure costs

Deploying comprehensive data acquisition systems presents significant financial barriers, particularly for small and medium-sized automotive suppliers and testing facilities. High-precision sensors, synchronization hardware, high-speed data loggers, and robust storage solutions require substantial capital investment. Additionally, the post-processing analysis demands powerful computing resources and specialized software licenses. Calibration and maintenance of these systems add recurring operational expenses. For vehicle manufacturers operating on tight profit margins, balancing the need for extensive data collection against cost constraints remains challenging, potentially limiting adoption among lower-tier suppliers and in price-sensitive vehicle development programs.

Opportunity:

Integration of edge computing and AI-driven analytics

Processing data directly at the collection source before transmission is revolutionizing automotive data acquisition by reducing bandwidth requirements and enabling real-time insights. Edge computing modules integrated into data loggers can filter noise, compress relevant signals, and trigger alerts based on predefined thresholds without cloud connectivity. AI algorithms running on these edge devices can detect anomalies in vehicle behavior, predict component failures, and optimize data storage by retaining only meaningful events. This smart acquisition approach lowers infrastructure costs, accelerates testing cycles, and enables new applications such as predictive maintenance in commercial fleets, creating substantial opportunities for innovation across the market.

Threat:

Cybersecurity vulnerabilities in connected systems

As data acquisition systems become more interconnected with cloud platforms and vehicle networks, they present expanding attack surfaces for malicious actors. Unauthorized access to vehicle test data could expose proprietary engineering information, while compromised acquisition modules might inject false sensor readings, leading to flawed development decisions. The increasing adoption of wireless data transfer and over-the-air updates introduces additional entry points for cyber threats. This vulnerability landscape creates hesitation among risk-averse automotive manufacturers, potentially slowing the integration of more advanced, cloud-connected acquisition solutions and forcing suppliers to invest heavily in security measures that increase product costs.

Covid-19 Impact:

The COVID-19 pandemic caused significant disruption to automotive data acquisition markets through temporary closures of testing facilities and reduced vehicle development programs. Lockdowns halted physical testing activities, delaying validation timelines for new models and autonomous driving features. However, the crisis accelerated the shift toward virtual testing and simulation-based development, which still requires real-world data for model calibration. Remote data acquisition capabilities gained importance as engineering teams worked from home, driving demand for cloud-accessible data platforms. Post-pandemic recovery has been robust, with pent-up development demand and increased focus on software-defined vehicles fueling renewed investment in next-generation data acquisition infrastructure.

The Passenger Vehicles segment is expected to be the largest during the forecast period

The Passenger Vehicles segment is expected to account for the largest market share during the forecast period, reflecting the sheer volume of cars produced annually and the extensive testing requirements for consumer safety and emissions compliance. Passenger vehicle manufacturers conduct rigorous validation across temperature extremes, road surfaces, and driving cycles to meet regulatory standards and customer expectations. Data acquisition systems are deployed in prototype testing, durability runs, and production validation for every new model. The segment's dominance is further reinforced by the integration of advanced driver assistance systems and infotainment features in mass-market vehicles, each requiring extensive data collection during development phases across global automotive markets.

The Battery Electric Vehicles segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the Battery Electric Vehicles segment is predicted to witness the highest growth rate, driven by the global transition toward zero-emission mobility and the unique data acquisition challenges posed by electric powertrains. Electric vehicles require specialized measurement of battery cell voltages, temperatures, current flows, thermal management efficiency, and regenerative braking performance throughout development and real-world operation. The rapid evolution of battery chemistries and charging protocols necessitates continuous data collection for range optimization and safety validation. As governments worldwide implement ICE phase-out timelines and automakers commit to electric portfolios, the volume of EV development programs expands dramatically, propelling unprecedented growth in dedicated data acquisition solutions for this propulsion category.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, underpinned by the presence of major automotive OEMs, advanced testing infrastructure, and substantial investment in autonomous vehicle development. The United States hosts numerous proving grounds, university research centers, and technology startups focused on automotive data systems. Strong regulatory frameworks for emissions testing, safety compliance, and fuel economy standards mandate rigorous data collection across vehicle development cycles. Additionally, the region's leadership in electric and autonomous vehicle startups creates concentrated demand for cutting-edge acquisition equipment. This combination of industrial scale, technological maturity, and regulatory requirements ensures North America maintains its dominant market position throughout the forecast period.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, fueled by the world's largest vehicle production base and rapid electrification programs across China, Japan, South Korea, and India. China's aggressive electric vehicle mandates and government-backed autonomous driving initiatives drive massive investment in local testing and validation infrastructure. Japanese and Korean automakers continue to develop next-generation data acquisition capabilities for connected and electrified vehicles. The region's cost-competitive manufacturing environment also hosts numerous data acquisition hardware suppliers serving global markets. As vehicle development shifts toward Asia-Pacific-centric programs and export-oriented production expands, the region emerges as the fastest-growing market for automotive data acquisition solutions.

Key players in the market

Some of the key players in Automotive Data Acquisition Market include Robert Bosch GmbH, Continental AG, Vector Informatik GmbH, National Instruments Corporation, HORIBA Ltd., MTS Systems Corporation, Dewesoft d.o.o., HBK, Siemens AG, ETAS GmbH, AVL List GmbH, Racelogic Ltd., Kistler Group, Meggitt PLC, Keysight Technologies, Yokogawa Electric Corporation, Pico Technology, and Intrepid Control Systems Inc.

Key Developments:

In April 2026, Siemens announced significant expansions to its Industrial Edge ecosystem at Hannover Messe. The update focuses on the seamless integration of IT and Operational Technology (OT), specifically introducing WinCC Unified for decentralized data acquisition and SCADA applications.

In April 2026, Bosch and Qualcomm expanded their strategic partnership to include advanced ADAS (Advanced Driver Assistance Systems) solutions. The collaboration integrates Bosch's vehicle computer architecture with Qualcomm's Snapdragon Ride platform to scale intelligent, automated driving technology across global markets.

In May 2025, At NI Connect, National Instruments (NI) Corporation (under Emerson) unveiled an expanded Data Acquisition (DAQ) line, including a new CompactDAQ system featuring USB-C connectivity and the NI FieldDAQ designed for extreme waterproof (IP67) environments in vehicle testing.

Components Covered:

• Hardware
• Software
• Services

Vehicle Types Covered:

• Passenger Vehicles
• Commercial Vehicles
• Electric Vehicles
• Autonomous Vehicles
• Off-Highway Vehicles

Propulsion Types Covered:

• Internal Combustion Engine Vehicles
• Hybrid Vehicles
• Battery Electric Vehicles
• Fuel Cell Electric Vehicles

Data Acquisition Types Covered:

• On-Board Data Acquisition
• Off-Board Data Acquisition
• Remote Data Acquisition
• Real-Time Data Acquisition
• Cloud-Based Data Acquisition

Deployment Modes Covered:

• Embedded Systems
• Standalone Systems
• Cloud Deployment
• On-Premise Deployment
• Hybrid Deployment

Connectivity's Covered:

• Wired Connectivity
• Wireless Connectivity

Communication Protocols Covered:

• CAN
• CAN FD
• LIN
• FlexRay
• Automotive Ethernet
• MOST
• Other Proprietary Protocols

Applications Covered:

• Powertrain Testing
• Battery Testing and Monitoring
• ADAS Validation
• Autonomous Vehicle Testing
• Vehicle Diagnostics
• Predictive Maintenance
• Fleet Management
• Emission Testing
• Crash Testing
• ECU Calibration and Validation
• Vehicle Performance Optimization
• Infotainment System Testing
• Connected Vehicle Monitoring

End Users Covered:

• Automotive OEMs
• Tier-1 Suppliers
• Automotive Testing Laboratories
• Fleet Operators
• Research Institutions
• Motorsport Organizations
• Government and Regulatory Agencies

Regions Covered:

• North America
  • United States
  • Canada
  • Mexico
• Europe
  • United Kingdom
  • Germany
  • France
  • Italy
  • Spain
  • Netherlands
  • Belgium
  • Sweden
  • Switzerland
  • Poland
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
  • Thailand
  • Malaysia
  • Singapore
  • Vietnam
  • Rest of Asia Pacific
• South America
  • Brazil
  • Argentina
  • Colombia
  • Chile
  • Peru
  • Rest of South America
• Rest of the World (RoW)
  • Middle East
• Saudi Arabia
• United Arab Emirates
• Qatar
• Israel
• Rest of Middle East
  • Africa
• South Africa
• Egypt
• Morocco
• Rest of Africa

What our report offers:

• Market share assessments for the regional and country-level segments
• Strategic recommendations for the new entrants
• Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
• Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
• Strategic recommendations in key business segments based on the market estimations
• Competitive landscaping mapping the key common trends
• Company profiling with detailed strategies, financials, and recent developments
• Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

• Company Profiling
  • Comprehensive profiling of additional market players (up to 3)
  • SWOT Analysis of key players (up to 3)
• Regional Segmentation
  • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
  • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

• 1.1 Market Snapshot and Key Highlights
• 1.2 Growth Drivers, Challenges, and Opportunities
• 1.3 Competitive Landscape Overview
• 1.4 Strategic Insights and Recommendations

2 Research Framework

• 2.1 Study Objectives and Scope
• 2.2 Stakeholder Analysis
• 2.3 Research Assumptions and Limitations
• 2.4 Research Methodology
  • 2.4.1 Data Collection (Primary and Secondary)
  • 2.4.2 Data Modeling and Estimation Techniques
  • 2.4.3 Data Validation and Triangulation
  • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

• 3.1 Market Definition and Structure
• 3.2 Key Market Drivers
• 3.3 Market Restraints and Challenges
• 3.4 Growth Opportunities and Investment Hotspots
• 3.5 Industry Threats and Risk Assessment
• 3.6 Technology and Innovation Landscape
• 3.7 Emerging and High-Growth Markets
• 3.8 Regulatory and Policy Environment
• 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

• 4.1 Porter's Five Forces Analysis
  • 4.1.1 Supplier Bargaining Power
  • 4.1.2 Buyer Bargaining Power
  • 4.1.3 Threat of Substitutes
  • 4.1.4 Threat of New Entrants
  • 4.1.5 Competitive Rivalry
• 4.2 Market Share Analysis of Key Players
• 4.3 Product Benchmarking and Performance Comparison

5 Global Automotive Data Acquisition Market, By Component

• 5.1 Hardware
  • 5.1.1 Data Acquisition Units
  • 5.1.2 Sensors
  • 5.1.3 Interface Modules
  • 5.1.4 Signal Conditioners
  • 5.1.5 Telematics Gateways
  • 5.1.6 Storage Devices
• 5.2 Software
  • 5.2.1 Data Logging Software
  • 5.2.2 Data Visualization Software
  • 5.2.3 Diagnostic Software
  • 5.2.4 Predictive Analytics Platforms
  • 5.2.5 Cloud Monitoring Software
• 5.3 Services
  • 5.3.1 Integration Services
  • 5.3.2 Calibration Services
  • 5.3.3 Maintenance and Support Services
  • 5.3.4 Consulting Services

6 Global Automotive Data Acquisition Market, By Vehicle Type

• 6.1 Passenger Vehicles
• 6.2 Commercial Vehicles
• 6.3 Electric Vehicles
• 6.4 Autonomous Vehicles
• 6.5 Off-Highway Vehicles

7 Global Automotive Data Acquisition Market, By Propulsion Type

• 7.1 Internal Combustion Engine Vehicles
• 7.2 Hybrid Vehicles
• 7.3 Battery Electric Vehicles
• 7.4 Fuel Cell Electric Vehicles

8 Global Automotive Data Acquisition Market, By Data Acquisition Type

• 8.1 On-Board Data Acquisition
• 8.2 Off-Board Data Acquisition
• 8.3 Remote Data Acquisition
• 8.4 Real-Time Data Acquisition
• 8.5 Cloud-Based Data Acquisition

9 Global Automotive Data Acquisition Market, By Deployment Mode

• 9.1 Embedded Systems
• 9.2 Standalone Systems
• 9.3 Cloud Deployment
• 9.4 On-Premise Deployment
• 9.5 Hybrid Deployment

10 Global Automotive Data Acquisition Market, By Connectivity

• 10.1 Wired Connectivity
• 10.2 Wireless Connectivity
  • 10.2.1 Bluetooth
  • 10.2.2 Wi-Fi
  • 10.2.3 Cellular Networks
  • 10.2.4 Satellite Communication

11 Global Automotive Data Acquisition Market, By Communication Protocol

• 11.1 CAN
• 11.2 CAN FD
• 11.3 LIN
• 11.4 FlexRay
• 11.5 Automotive Ethernet
• 11.6 MOST
• 11.7 Other Proprietary Protocols

12 Global Automotive Data Acquisition Market, By Application

• 12.1 Powertrain Testing
• 12.2 Battery Testing and Monitoring
• 12.3 ADAS Validation
• 12.4 Autonomous Vehicle Testing
• 12.5 Vehicle Diagnostics
• 12.6 Predictive Maintenance
• 12.7 Fleet Management
• 12.8 Emission Testing
• 12.9 Crash Testing
• 12.10 ECU Calibration and Validation
• 12.11 Vehicle Performance Optimization
• 12.12 Infotainment System Testing
• 12.13 Connected Vehicle Monitoring

13 Global Automotive Data Acquisition Market, By End User

• 13.1 Automotive OEMs
• 13.2 Tier-1 Suppliers
• 13.3 Automotive Testing Laboratories
• 13.4 Fleet Operators
• 13.5 Research Institutions
• 13.6 Motorsport Organizations
• 13.7 Government and Regulatory Agencies

14 Global Automotive Data Acquisition Market, By Geography

• 14.1 North America
  • 14.1.1 United States
  • 14.1.2 Canada
  • 14.1.3 Mexico
• 14.2 Europe
  • 14.2.1 United Kingdom
  • 14.2.2 Germany
  • 14.2.3 France
  • 14.2.4 Italy
  • 14.2.5 Spain
  • 14.2.6 Netherlands
  • 14.2.7 Belgium
  • 14.2.8 Sweden
  • 14.2.9 Switzerland
  • 14.2.10 Poland
  • 14.2.11 Rest of Europe
• 14.3 Asia Pacific
  • 14.3.1 China
  • 14.3.2 Japan
  • 14.3.3 India
  • 14.3.4 South Korea
  • 14.3.5 Australia
  • 14.3.6 Indonesia
  • 14.3.7 Thailand
  • 14.3.8 Malaysia
  • 14.3.9 Singapore
  • 14.3.10 Vietnam
  • 14.3.11 Rest of Asia Pacific
• 14.4 South America
  • 14.4.1 Brazil
  • 14.4.2 Argentina
  • 14.4.3 Colombia
  • 14.4.4 Chile
  • 14.4.5 Peru
  • 14.4.6 Rest of South America
• 14.5 Rest of the World (RoW)
  • 14.5.1 Middle East
    • 14.5.1.1 Saudi Arabia
    • 14.5.1.2 United Arab Emirates
    • 14.5.1.3 Qatar
    • 14.5.1.4 Israel
    • 14.5.1.5 Rest of Middle East
  • 14.5.2 Africa
    • 14.5.2.1 South Africa
    • 14.5.2.2 Egypt
    • 14.5.2.3 Morocco
    • 14.5.2.4 Rest of Africa

15 Strategic Market Intelligence

• 15.1 Industry Value Network and Supply Chain Assessment
• 15.2 White-Space and Opportunity Mapping
• 15.3 Product Evolution and Market Life Cycle Analysis
• 15.4 Channel, Distributor, and Go-to-Market Assessment

16 Industry Developments and Strategic Initiatives

• 16.1 Mergers and Acquisitions
• 16.2 Partnerships, Alliances, and Joint Ventures
• 16.3 New Product Launches and Certifications
• 16.4 Capacity Expansion and Investments
• 16.5 Other Strategic Initiatives

17 Company Profiles

• 17.1 Robert Bosch GmbH
• 17.2 Continental AG
• 17.3 Vector Informatik GmbH
• 17.4 National Instruments Corporation
• 17.5 HORIBA Ltd.
• 17.6 MTS Systems Corporation
• 17.7 Dewesoft d.o.o.
• 17.8 HBK
• 17.9 Siemens AG
• 17.10 ETAS GmbH
• 17.11 AVL List GmbH
• 17.12 Racelogic Ltd.
• 17.13 Kistler Group
• 17.14 Meggitt PLC
• 17.15 Keysight Technologies
• 17.16 Yokogawa Electric Corporation
• 17.17 Pico Technology
• 17.18 Intrepid Control Systems Inc.