EV 배터리 상태 모니터링 시장 기회, 성장 촉진요인, 업계 동향 분석 및 예측(2025-2034년)

The Global EV Battery Health Monitoring Market was valued at USD 9.1 billion in 2024 and is estimated to grow at a CAGR of 11.5% to reach USD 25.7 billion by 2034.

The accelerating adoption of electric vehicles has created a critical demand for accurate, real-time battery health data. Batteries account for nearly half of an EV's total cost, prompting OEMs and fleet operators to closely monitor state-of-charge (SOC) and state-of-health (SOH) to reduce warranty claims, enhance operational safety, and strengthen consumer confidence. Advanced battery monitoring systems are increasingly incorporating predictive maintenance, artificial intelligence, and machine learning to anticipate failures, optimize charging patterns, and prevent thermal issues. These innovations minimize downtime, extend battery longevity, and improve fleet reliability. With the rise of software-defined battery platforms, predictive analytics, and digital twins are becoming essential for efficient battery management. Government regulations and lifecycle transparency requirements for battery safety and recycling further drive the deployment of sophisticated diagnostic and monitoring solutions worldwide, supporting robust market growth over the forecast period.

The passenger car segment held an 83% share in 2024 and is expected to grow at a CAGR of 11% from 2025 to 2034. Increasing EV adoption in passenger vehicles is fueling the demand for precise, real-time battery data. Longer warranty terms, improved safety, and predictable performance compel manufacturers to integrate advanced SOH and SOC algorithms, enhancing consumer trust and differentiating models.

The lithium-ion batteries segment held a 95% share in 2024, expected to grow at a CAGR of 11.5% from 2025 to 2034. Their widespread use in EVs underscores the necessity of monitoring key performance metrics. High energy density, sensitivity to temperature fluctuations, voltage imbalance, and frequent charge cycles require sophisticated diagnostics to maintain uniform performance, ensure safety, and extend battery life under diverse driving conditions.

US EV Battery Health Monitoring Market held an 86% share, generating USD 3.1 billion in 2024. Strong EV adoption supported by government incentives, tax benefits, and clean mobility initiatives has driven OEMs and fleet operators to seek advanced battery health management systems for safety, warranty optimization, and reliable long-term operation across varying conditions.

Major players in the EV Battery Health Monitoring Market include LG Energy Solution, Analog Devices, BYD, CATL, Continental, Infineon, LEM International, Panasonic, Samsung SDI, and Texas Instruments. Market leaders in EV battery health monitoring are focusing on developing advanced chipsets and sensor solutions to enhance real-time monitoring capabilities. Companies are investing heavily in AI-driven predictive maintenance platforms and machine learning algorithms to anticipate failures, optimize charging cycles, and improve safety. Strategic partnerships with EV manufacturers and fleet operators ensure widespread integration of monitoring systems. Firms are also expanding their global distribution networks and local service capabilities to support diverse regional requirements. Continuous research and development efforts are driving innovation in software-defined battery management and digital twin technologies. Regulatory compliance, product customization, and technology differentiation remain central to maintaining competitive advantage and securing long-term market presence.

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 360° synopsis, 2021 - 2034
• 2.2 Key market trends
  • 2.2.1 Regional
  • 2.2.2 Battery
  • 2.2.3 Technology
  • 2.2.4 Propulsion
  • 2.2.5 Vehicle
  • 2.2.6 Application
  • 2.2.7 End Use
• 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
• 2.6 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 Growing adoption of connected EV platforms
    • 3.2.1.2 Shift toward AI-driven battery diagnostics
    • 3.2.1.3 Battery safety regulations and transparency mandates
    • 3.2.1.4 Growth of electrified commercial fleets
  • 3.2.2 Industry pitfalls and challenges
    • 3.2.2.1 High cost of advanced monitoring hardware
    • 3.2.2.2 Variability in battery chemistries and designs
    • 3.2.2.3 Thermal safety concerns
    • 3.2.2.4 Data security and privacy issues
  • 3.2.3 Market opportunities
    • 3.2.3.1 Expansion of second-life and recycling markets
    • 3.2.3.2 Growth in APAC EV manufacturing
    • 3.2.3.3 Charging infrastructure integration
    • 3.2.3.4 Predictive maintenance services for fleets
• 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 MEA
• 3.5 Porter's analysis
• 3.6 PESTEL analysis
• 3.7 Technology and innovation landscape
  • 3.7.1 Current Technologies
    • 3.7.1.1 Advanced battery management systems
    • 3.7.1.2 On-board battery diagnostics & embedded sensing
    • 3.7.1.3 Cloud-connected battery analytics platforms
    • 3.7.1.4 Vehicle telematics & can-based data integration
  • 3.7.2 Emerging Technologies
    • 3.7.2.1 AI-powered predictive battery health & RUL modeling
    • 3.7.2.2 Digital twin battery modeling
    • 3.7.2.3 Blockchain-Enabled Battery Traceability & Lifecycle Integrity
    • 3.7.2.4 5G-enabled low-latency battery telemetry & V2X integration
• 3.8 Patent analysis
• 3.9 Production statistics
  • 3.9.1 Production hubs
  • 3.9.2 Consumption hubs
  • 3.9.3 Export and import
• 3.10 Price trends
  • 3.10.1 By region
  • 3.10.2 By battery
• 3.11 Pricing analysis & cost structure
  • 3.11.1 BMS hardware cost breakdown
  • 3.11.2 Software licensing & subscription models
  • 3.11.3 Total cost of ownership for fleet operators
  • 3.11.4 Price erosion trends & commoditization risk
• 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 Battery chemistry diversity & monitoring complexity
  • 3.13.1 Lithium-ion chemistry variants
  • 3.13.2 Solid-state battery monitoring challenges
• 3.14 Thermal management & thermal runaway prevention architecture
  • 3.14.1 Thermal runaway mechanism & detection stages
  • 3.14.2 Multi-point temperature sensing strategies
  • 3.14.3 Thermal propagation monitoring & early warning systems
  • 3.14.4 Active vs. Passive thermal management integration
• 3.15 V2G integration & battery wear accounting
  • 3.15.1 ISO 15118-20 bidirectional power transfer protocol
  • 3.15.2. Battery degradation mechanisms in V2 G operation
  • 3.15.3. V2 G-specific SOH tracking & reporting
  • 3.15.4 Grid service optimization algorithms
• 3.16 Second-life battery assessment & circular economy viability
  • 3.16.1 End-of-first-life criteria & health thresholds
  • 3.16.2 Second-life application suitability analysis
  • 3.16.3 Health monitoring for second-life certification
• 3.17 Fleet telematics integration & total cost of ownership optimization
  • 3.17.1 Fleet management platform architecture
  • 3.17.2 Battery health monitoring for fleet tco reduction
  • 3.17.3 Multi-vehicle battery health benchmarking
  • 3.17.4 Fleet electrification roi modeling

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 Latin America
  • 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 Battery, 2021 - 2034 ($Bn, Units)

• 5.1 Key trends
• 5.2 Lithium-ion
• 5.3 Lead-acid
• 5.4 NiMH
• 5.5 Others

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

• 6.1 Key trends
• 6.2 BEV
• 6.3 PHEV
• 6.4 HEV

Chapter 7 Market Estimates & Forecast, By Vehicle, 2021 - 2034 ($Bn, Units)

• 7.1 Key trends
• 7.2 Passenger car
  • 7.2.1 Hatchback
  • 7.2.2 Sedan
  • 7.2.3 SUV
• 7.3 Commercial vehicle
  • 7.3.1 Light duty
  • 7.3.2 Medium duty
  • 7.3.3 Heavy duty

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

• 8.1 Key trends
• 8.2 Battery management systems
• 8.3 Monitoring & diagnostic
• 8.4 AI/ML & cloud-based analytics
• 8.5 Fleet telematics & remote monitoring
• 8.6 Aftermarket diagnostic solutions
• 8.7 Others

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

• 9.1 Key trends
• 9.2 First-life vehicle operation
• 9.3 Fleet management
• 9.4 Charging infrastructure integration
• 9.5 Vehicle-to-grid services
• 9.6 Others

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

• 10.1 Key trends
• 10.2 Automotive OEMs
• 10.3 Fleet operators
• 10.4 Battery manufacturers & suppliers
• 10.5 Charging infrastructure providers
• 10.6 Aftermarket service providers
• 10.7 Others

Chapter 11 Market Estimates & Forecast, By Region, 2021-2034 ($Bn, Units)

• 11.1 Key trends
• 11.2 North America
  • 11.2.1 US
  • 11.2.2 Canada
• 11.3 Europe
  • 11.3.1 UK
  • 11.3.2 Germany
  • 11.3.3 France
  • 11.3.4 Italy
  • 11.3.5 Spain
  • 11.3.6 Russia
  • 11.3.7 Nordics
• 11.4 Asia Pacific
  • 11.4.1 China
  • 11.4.2 India
  • 11.4.3 Japan
  • 11.4.4 South Korea
  • 11.4.5 ANZ
  • 11.4.6 Southeast Asia
• 11.5 Latin America
  • 11.5.1 Brazil
  • 11.5.2 Mexico
  • 11.5.3 Argentina
• 11.6 MEA
  • 11.6.1 South Africa
  • 11.6.2 Saudi Arabia
  • 11.6.3 UAE

Chapter 12 Company Profiles

• 12.1 Global players
  • 12.1.1 Continental
  • 12.1.2 LG Energy Solution
  • 12.1.3 Panasonic
  • 12.1.4 CATL
  • 12.1.5 BYD
  • 12.1.6 Analog Devices
  • 12.1.7 Samsung SDI
  • 12.1.8 Texas Instruments
  • 12.1.9 Infineon
  • 12.1.10 LEM International
• 12.2 Regional players
  • 12.2.1 Samsara
  • 12.2.2 Geotab
  • 12.2.3 NXP Semiconductors
  • 12.2.4 Denso
  • 12.2.5 Valeo
  • 12.2.6 Renesas Electronics
  • 12.2.7 STMicroelectronics
• 12.3 Emerging Players:
  • 12.3.1 Qnovo
  • 12.3.2 Teltonika
  • 12.3.3 Twaice Technologies
  • 12.3.4 Breathe Battery Technologies
  • 12.3.5 Voltaiq
  • 12.3.6 Brill Power