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市場調查報告書
商品編碼
2170549

電動汽車電池管理晶片市場機會、成長要素、產業趨勢分析及2026-2035年預測

Electric Vehicle Battery Management Chips Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2026-2035
出版日期: | 出版商: Global Market Insights Inc. | 英文 180 Pages | 商品交期: 2-3個工作天內

價格
簡介目錄

預計到 2025 年，電動車電池管理晶片市場規模將超過 18.4 億美元，年複合成長率為 12.9%，到 2035 年將達到 61.8 億美元。

市場範圍
開始年份 2025
預測期 2026-2035
上市時的市場規模 18.4億美元
預測金額 61.8億美元
複合年成長率 12.9%

電動車的生產不斷推高了對電池組監控和控制設備的持續需求。在生產前最終確定規格，有助於半導體供應商清楚了解未來的採購計畫。新興組裝市場正在拓展設計機遇，使其超越最成熟的汽車產業中心，但即使是成本效益高的產品，仍需要滿足汽車產業對可靠性的要求。高壓平台也對隔離和檢驗提出了更高的要求，推動了高性能半導體元件的應用。隨著這些架構的應用範圍從高階車型擴展到其他車型，供應商必須提供一系列安全認證的產品和相應的開發支援。這些因素將不斷成長的汽車產量與對更複雜電子產品的需求聯繫起來。能夠提供檢驗的設計和一致測量結果的製造商，可以滿足日益複雜的電池組配置中對可靠供貨和充分保護的需求。

從技術角度來看，類比前端晶片市場預計到2025年將達到5.179億美元。這些元件構成電池電壓和溫度資訊的測量介面。由於其在各類車輛和電池化學系統中廣泛應用，因此擁有龐大的需求基礎。供應商透過精度、支援的電池通道數量、診斷功能和整合安全特性來區分自身產品。汽車製造商需要可靠的輸入信息，因為後續的控制決策取決於測量數據的品質。因此，該領域的作用遠不止於提供組件。合適的裝置必須能夠融入電池組架構，並在預期的工作條件下提供一致的資料。應用支援和檢驗的參考配置可協助客戶有效地將這些裝置整合到貫穿車輛整個生命週期的電池管理系統中。

以電池細分市場來看，預計到2035年，鋰離子電池的市場規模將達到36.6億美元。成熟的電池組設計技術以及在感測和安全領域中累積的經驗，確保了鋰離子電池在車輛設計中仍將佔據核心地位。供應商和汽車製造商在開發下一代平台時，可以利用現有的監控和控制技術。雖然替代化學體系帶來了新的要求，但現有的技術基礎仍能支撐大規模採購。客戶需要滿足特定電池組配置和預期運作要求的設備。因此，此細分市場既體現了車輛的持續部署，也體現了現有工程資源的價值。擁有合適產品的製造商可以調整測量、保護和診斷功能，以適應不斷發展的鋰離子驅動系統規範，同時支援現有的架構。

預計到2035年，亞太地區電動車電池管理晶片市場規模將達34.1億美元。在該地區，整車組裝、電芯生產、電池組開發和半導體設計緊密相連。中國擁有龐大的市場規模，而日本和韓國則在汽車電子領域擁有成熟的專業技術。印度和東南亞的新興汽車專案和組裝正在拓展採購機會。供應商需要適應這些多元化的生產環境，並協助客戶進行電池組開發。因此，該地區的需求既包括對量產車型的需求，也包括對各種新興項目的需求。經過認證的產品和切實可行的工程支援將幫助製造商進入市場，因為在這樣的市場中，電池設計和半導體選型與當地的車輛架構和生產計畫密切相關。

德州儀器預計到2025年將佔據20%的市場。其產品系列包括類比前端、監控設備、保護晶片和燃油表功能。憑藉與汽車行業的緊密合作關係以及一系列安全認證產品，德州儀器能夠儘早參與車輛規格製定。這些優勢對於尋求廣泛測量範圍和可靠開發資源的客戶至關重要。德州儀器的市場地位建立在豐富的產品線和對檢驗的電池管理平台的支援之上。這種方法有助於設計人員滿足需要相容的感測和保護功能的電池組專案需求。此外，它還提供參考設計，從而減輕整合負擔，並支援在車輛開發和生產的各個階段進行汽車認證。

市場的主要參與者包括Analog Devices、NXP Semiconductors、STMicroelectronics、Renesas Electronics、Infineon Technologies、Onsemi、Microchip Technology、ams OSRAM、BYD Semiconductor、ABLIC、Monolithic Power Systems、SinoMOS Semiconductor、Rohm Semiconductor Semiconductor、Nexperia、Melexis、Sensata Technologies和Cirrus Logic。競爭的重點在於精密測量、整合控制、診斷和汽車應用。雖然成熟的設計經驗和認證資源具有優勢，但專家們正在致力於電流感測、熱資訊和電源管理方面的研究。隨著架構整合度的提高，對能夠在整個封裝系統中可靠運作的檢驗產品的需求日益成長。

目錄

第1章：調查方法

第2章執行摘要

第3章 行業洞察

  • 產業生態系分析
    • 供應商情況
    • 利潤率
    • 成本結構
    • 每個階段增加的價值
    • 影響價值鏈的因素
    • 中斷
  • 影響產業的因素
    • 促進因素
      • 電動車在全球的加速普及，正在推動對電池管理系統（BMS）晶片的需求激增。
      • 電池組日益複雜化以及多電池結構的興起
      • 電動車電池有嚴格的安全法規
      • 快速充電基礎設施的廣泛應用
    • 產業潛在風險與挑戰
      • 設計複雜性與溫度控管限制
      • 半導體供應鏈中的脆弱性
    • 市場機遇
      • 全固體電池的商業化
      • 車輛到電網 (V2G) 和雙向充電應用
      • 整合人工智慧的電池管理系統晶片
      • 電動車在新興市場的引進將開啟新的區域需求來源。
  • 價格分析，2022-2035年
    • 按地區分析歷史價格趨勢
    • 服務提供者的定價策略（高價/低價/成本加成）
  • 技術與創新展望
    • 最新科技趨勢
    • 新興技術
  • 監理情勢
    • 北美洲
      • 美國 - NHTSA（國家公路交通安全管理局）
      • 美國 - FCC（聯邦通訊委員會）
      • 加拿大 - 加拿大運輸部
    • 歐洲
      • 歐盟-聯合國歐洲經濟委員會（EU-UNECE）
      • 歐盟-歐洲化學品管理局（EU-ECHA）
    • 亞太地區
      • 中國工信部
      • 中國 - 國家市場監督管理總局 (SAMR)
    • 拉丁美洲
      • 巴西 - INMETRO（國家計量、品質和技術研究院）
      • 阿根廷 - 國家工業技術研究所
    • 中東和非洲
      • 沙烏地阿拉伯 - SASO（沙烏地阿拉伯標準、計量和品質組織）
      • 阿拉伯聯合大公國工業和先進技術部
  • 波特五力模型
  • PESTLE分析
  • 專利分析
  • 成本細分分析
  • 貿易數據分析
    • 進出口量及進口額趨勢
    • 主要貿易路線及關稅的影響
  • 生產能力和生產情況
    • 設備產能：按地區和主要生產商分類
    • 運轉率和擴張計劃
  • 人工智慧和生成式人工智慧對市場的影響
    • 利用人工智慧改造現有經營模式
    • 按細分市場分類的生成式人工智慧用例和部署藍圖
    • 風險、限制和監管考量
  • 預測假設和情境分析
    • 基本案例：驅動複合年成長率的關鍵宏觀經濟與產業變量
    • 樂觀情境：宏觀經濟與產業的順風
    • 悲觀情景：宏觀經濟放緩或產業逆風

第4章：2022年至2026年的競爭格局

  • 介紹
  • 2022年至2035年十大公司生產與銷售分析
  • 主要市場公司的競爭分析
  • 競爭定位矩陣
  • 主要進展
    • 併購
    • 夥伴關係和聯盟
    • 新產品發布
    • 業務拓展計劃及資金籌措
  • 按公司規模進行基準測試
    • 排名分類標準與遴選標準
    • 按營收和創新能力分類的層級定位矩陣

第5章 市場估計與預測：依技術分類，2022-2035年

  • 模擬前端（AFE）晶片
  • 用於細胞監測的積體電路
  • 電池平衡電路
  • 保護積體電路
  • 電池管理控制器
  • 電流檢測積體電路

第6章 市場估價與預測：依電池類型分類，2022-2035年

  • 鋰離子電池管理
  • 磷酸鋰鐵管理
  • 全固體電池管理
  • 鎳氫電池管理
  • 支援先進化學技術

第7章 市場估算與預測：依電壓範圍分類，2022-2035年

  • 低電壓系統
  • 中壓系統
  • 高壓系統
  • 超高壓系統

第8章 市場估算與預測：以一體化程度分類，2022-2035年

  • 各個組件
  • 整合解決方案
  • 系統晶片(SoC)
  • 模組化系統

第9章 市場估計與預測：依應用領域分類，2022-2035年

  • 電動車電池組
  • 油電混合車系統
  • 能源儲存系統
  • 充電基礎設施
  • 輔助電池系統
  • 可攜式儲能

第10章 市場估價與預測：依車輛類型分類，2022-2035年

  • 搭乘用電動車
    • BEV
    • PHEV
    • FCEV
  • 商用電動車
    • 範
      • BEV
      • PHEV
    • 公車
      • BEV
      • FCEV
    • 追蹤
      • BEV
      • FCEV

第11章 市場估價與預測：按地區分類，2022-2035年

  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 俄羅斯
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲
    • 印尼
    • 越南
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 智利
  • 中東和非洲
    • 沙烏地阿拉伯
    • UAE
    • 南非

第12章：公司簡介

  • 世界公司
    • Texas Instruments
    • Analog Devices
    • NXP Semiconductors
    • STMicroelectronics
    • Renesas Electronics
    • Infineon Technologies
    • ON Semiconductor（onsemi）
    • Microchip Technology
    • ams OSRAM
  • 本地公司
    • BYD Semiconductor
    • ABLIC
    • Monolithic Power Systems
    • SinoMOS Semiconductor
    • Rohm Semiconductor
    • Allegro MicroSystems
  • 新興企業
    • Navitas Semiconductor
    • Nexperia
    • Melexis
    • Sensata Technologies
    • Cirrus Logic
簡介目錄
Product Code: 15192

The Electric Vehicle Battery Management Chips Market exceeded USD 1.84 billion in 2025 and is projected to grow at 12.9% CAGR to reach USD 6.18 billion by 2035.

Market Scope
Start Year2025
Forecast Year2026-2035
Start Value$1.84 Billion
Forecast Value$6.18 Billion
CAGR12.9%

Electric vehicle production creates recurring demand for the devices needed to monitor and control each battery pack. Specifications established before production can give semiconductor suppliers visibility into later procurement. Emerging assembly markets broaden design opportunities beyond the most established automotive centers, with cost-efficient products still needing automotive reliability. Higher-voltage platforms also increase isolation and validation requirements, supporting more capable semiconductor content. Suppliers must deliver safety-qualified families and appropriate development support as these architectures extend beyond premium vehicles. These drivers connect rising vehicle output with more demanding electronics. Manufacturers able to provide validated designs and consistent measurement can address programs that require both dependable supply and suitable protection across increasingly complex pack arrangements.

Based on technology, analog front-end chips generated USD 517.9 million in 2025. These devices form the measurement interface for cell voltage and temperature information. Their use across vehicle types and battery chemistries supports a broad demand base. Suppliers differentiate through precision, supported cell channels, diagnostics, and safety integration. Automakers need dependable inputs because later control decisions rely on the quality of the measured information. The segment's role therefore extends beyond simple component availability. Suitable devices must fit the pack architecture and provide consistent data under the intended operating conditions. Application support and validated reference arrangements can help customers incorporate them effectively within the wider battery management system used throughout the vehicle's operating life.

Lithium-ion battery management is forecast to generate USD 3.66 billion by 2035. Established pack engineering and accumulated experience in sensing and safety maintain this chemistry's central role in vehicle design. Suppliers and automakers can draw on familiar monitoring and control families when developing successive platforms. Alternative chemistries create new requirements, but the existing technical base continues to support substantial procurement. Customers need devices compatible with the particular pack arrangement and expected operating demands. The segment consequently reflects both continuing vehicle deployment and the value of established engineering resources. Manufacturers with suitable products can support familiar architectures while adapting measurement, protection, and diagnostics to the evolving specifications of lithium-ion traction systems.

The Asia Pacific electric vehicle battery management chips market is expected to reach USD 3.41 billion by 2035. Vehicle assembly, cell production, pack development, and semiconductor design are closely connected within the region. China provides substantial scale, while Japan and South Korea contribute established automotive electronics expertise. New vehicle programs and assembly in India and Southeast Asia broaden purchasing opportunities. Suppliers need to align with the requirements of these different production environments and support customers during pack development. Regional demand consequently combines high-volume automotive supply with more varied emerging programs. Qualified products and practical engineering assistance help manufacturers participate where battery design and semiconductor selection are closely linked to local vehicle architecture and production planning.

Texas Instruments accounted for 20% of market share in 2025. Its portfolio includes analog front ends, monitoring devices, protection chips, and fuel-gauge functions. Automotive relationships and safety-qualified families support engagement during early vehicle specification. These capabilities are relevant to customers seeking substantial measurement coverage and dependable development resources. The company's position reflects product breadth combined with support for validated battery management platforms. This approach helps address pack programs in which designers need compatible sensing and protection functions alongside reference designs that can reduce integration effort and support automotive qualification across successive vehicle development and production stages.

Some of the major players in this market are Analog Devices, NXP Semiconductors, STMicroelectronics, Renesas Electronics, Infineon Technologies, onsemi, Microchip Technology, ams OSRAM, BYD Semiconductor, ABLIC, Monolithic Power Systems, SinoMOS Semiconductor, Rohm Semiconductor, Allegro MicroSystems, Navitas Semiconductor, Nexperia, Melexis, Sensata Technologies, and Cirrus Logic. Competition involves precision measurement, control integration, diagnostics, and automotive support. Established design wins and qualification resources provide advantages, while specialists address current sensing, thermal information, and power management. More integrated architectures increase the need for validated products that can work reliably within the complete pack system.

Table of Contents

Chapter 1. Research Methodology

  • 1.1 Research approach
  • 1.2 Quality Commitments
    • 1.2.1 GMI AI policy & data integrity commitment
  • 1.3 Research Trail & Confidence Scoring
    • 1.3.1 Research Trail Components
    • 1.3.2 Scoring Components
  • 1.4 Data Collection
  • 1.5 Data mining sources
    • 1.5.1 Paid sources
  • 1.6 Base estimates and calculations
    • 1.6.1 Base year calculation
  • 1.7 Forecast model
    • 1.7.1 Quantified market impact analysis
  • 1.8 Research transparency addendum
    • 1.8.1 Source attribution framework
    • 1.8.2 Quality assurance metrics
    • 1.8.3 Our commitment to trust

Chapter 2. Executive Summary

  • 2.1 Industry 360° synopsis, 2022-2035
  • 2.2 Key market trends
    • 2.2.1 Regional
    • 2.2.2 Technology
    • 2.2.3 Battery
    • 2.2.4 Voltage Range
    • 2.2.5 Integration Level
    • 2.2.6 Application
    • 2.2.7 Vehicle
  • 2.3 TAM Analysis, 2027-2035
  • 2.4 CXO perspectives: Strategic imperatives

Chapter 3. Industry Insights

  • 3.1 Industry ecosystem analysis
    • 3.1.1 Supplier landscape
    • 3.1.2 Profit margin
    • 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 Accelerating Global EV Adoption Driving Surge in BMS Chip Demand
      • 3.2.1.2 Rising Battery Pack Complexity & Multi-Cell Architectures
      • 3.2.1.3 Stringent EV Battery Safety Regulations
      • 3.2.1.4 Proliferation of Fast-Charging Infrastructure
    • 3.2.2 Industry pitfalls and challenges
      • 3.2.2.1 High Design Complexity & Thermal Management Constraints
      • 3.2.2.2 Semiconductor Supply Chain Vulnerabilities
    • 3.2.3 Market opportunities
      • 3.2.3.1 Solid-State Battery Commercialization
      • 3.2.3.2 Vehicle-to-Grid (V2G) & Bidirectional Charging Applications
      • 3.2.3.3 AI-Integrated BMS Chips
      • 3.2.3.4 Emerging Markets EV Rollout Opening New Regional Demand Pools
  • 3.3 Pricing analysis (Driven by Primary Research), 2022-2035
    • 3.3.1 Historical price trend analysis by region
    • 3.3.2 Pricing strategy by player (Premium / Value / Cost-plus)
  • 3.4 Technology and innovation landscape
    • 3.4.1 Current technological trends
    • 3.4.2 Emerging technologies
  • 3.5 Regulatory landscape
    • 3.5.1 North America
      • 3.5.1.1 US - NHTSA (National Highway Traffic Safety Administration)
      • 3.5.1.2 US - FCC (Federal Communications Commission)
      • 3.5.1.3 Canada - Transport Canada
    • 3.5.2 Europe
      • 3.5.2.1 EU - UNECE (United Nations Economic Commission for Europe)
      • 3.5.2.2 EU - ECHA (European Chemicals Agency)
    • 3.5.3 Asia Pacific
      • 3.5.3.1 China - MIIT (Ministry of Industry and Information Technology)
      • 3.5.3.2 China - SAMR (State Administration for Market Regulation)
    • 3.5.4 Latin America
      • 3.5.4.1 Brazil - INMETRO (National Institute of Metrology, Quality and Technology)
      • 3.5.4.2 Argentina - National Institute of Industrial Technology
    • 3.5.5 MEA
      • 3.5.5.1 Saudi Arabia - SASO (Saudi Standards, Metrology and Quality Organization)
      • 3.5.5.2 UAE - MoIAT (Ministry of Industry and Advanced Technology)
  • 3.6 Porter's Five Forces
  • 3.7 PESTEL Analysis
  • 3.8 Patent analysis (Driven by Primary Research)
  • 3.9 Cost breakdown analysis
  • 3.10 Trade Data Analysis (Driven by Paid Database)
    • 3.10.1 Import/Export Volume & Value Trends
    • 3.10.2 Key Trade Corridors & Tariff Impact
  • 3.11 Capacity & Production Landscape (Driven by Primary Research)
    • 3.11.1 Installed Capacity by Region & Key Producer
    • 3.11.2 Capacity Utilization Rates & Expansion Pipelines
  • 3.12 Impact of AI & generative AI on the market
    • 3.12.1 AI-driven disruption of existing business models
    • 3.12.2 GenAI use cases & adoption roadmap by segment
    • 3.12.3 Risks, limitations & regulatory considerations
  • 3.13 Forecast assumptions & scenario analysis (Driven by Primary Research)
    • 3.13.1 Base Case- Key Macro & Industry Variables Driving CAGR
    • 3.13.2 Optimistic Scenarios- Favorable macro and industry tailwinds
    • 3.13.3 Pessimistic Scenario - Macroeconomic slowdown or industry headwinds

Chapter 4. Competitive Landscape, 2022-2026

  • 4.1 Introduction
  • 4.2 Company market share analysis (value & volume), 2022-2025
    • 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 Top-10 company production & sales analysis, 2022-2035
  • 4.4 Competitive analysis of major market players
  • 4.5 Competitive positioning 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
  • 4.7 Company Tier Benchmarking
    • 4.7.1 Tier Classification Criteria & Qualifying Thresholds
    • 4.7.2 Tier Positioning Matrix by Revenue (USD Mn), & Innovation

Chapter 5. Market Estimates & Forecast, By Technology, 2022 - 2035 ($Mn, Thousand Units)

  • 5.1 Key trends
  • 5.2 Analog Front-End (AFE) Chips
  • 5.3 Cell Monitoring ICs
  • 5.4 Battery Balancing Circuits
  • 5.5 Protection ICs
  • 5.6 Battery Management Controllers
  • 5.7 Current Sensing ICs

Chapter 6. Market Estimates & Forecast, By Battery, 2022 - 2035 ($Mn, Thousand Units)

  • 6.1 Key trends
  • 6.2 Lithium-Ion Battery Management
  • 6.3 Lithium Iron Phosphate Management
  • 6.4 Solid-State Battery Management
  • 6.5 Nickel-Metal Hydride Management
  • 6.6 Advanced Chemistry Support

Chapter 7. Market Estimates & Forecast, By Voltage Range, 2022 - 2035 ($Mn, Thousand Units)

  • 7.1 Key trends
  • 7.2 Low-Voltage Systems
  • 7.3 Medium-Voltage Systems
  • 7.4 High-Voltage Systems
  • 7.5 Ultra-High Voltage Systems

Chapter 8. Market Estimates & Forecast, By Integration Level, 2022 - 2035 ($Mn, Thousand Units)

  • 8.1 Key trends
  • 8.2 Discrete Components
  • 8.3 Integrated Solutions
  • 8.4 System-on-Chip (SoC)
  • 8.5 Modular Systems

Chapter 9. Market Estimates & Forecast, By Application, 2022 - 2035 ($Mn, Thousand Units)

  • 9.1 Key trends
  • 9.2 Electric Vehicle Battery Packs
  • 9.3 Hybrid Electric Vehicle Systems
  • 9.4 Energy Storage Systems
  • 9.5 Charging Infrastructure
  • 9.6 Auxiliary Battery Systems
  • 9.7 Portable Energy Storage

Chapter 10. Market Estimates & Forecast, By Vehicle, 2022 - 2035 ($Mn, Thousand Units)

  • 10.1 Key trends
  • 10.2 Passenger EVs
    • 10.2.1 BEV
    • 10.2.2 PHEV
    • 10.2.3 FCEV
  • 10.3 Commercial EVs
    • 10.3.1 Vans
      • 10.3.1.1 BEV
      • 10.3.1.2 PHEV
    • 10.3.2 Buses
      • 10.3.2.1 BEV
      • 10.3.2.2 FCEV
    • 10.3.3 Trucks
      • 10.3.3.1 BEV
      • 10.3.3.2 FCEV

Chapter 11. Market Estimates and Forecast, By Region, 2022 - 2035 ($Mn, Thousand Units)

  • 11.1 Key trends
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 France
    • 11.3.4 Italy
    • 11.3.5 Spain
    • 11.3.6 Netherlands
    • 11.3.7 Russia
  • 11.4 Asia Pacific
    • 11.4.1 China
    • 11.4.2 India
    • 11.4.3 Japan
    • 11.4.4 South Korea
    • 11.4.5 Australia
    • 11.4.6 Indonesia
    • 11.4.7 Vietnam
  • 11.5 Latin America
    • 11.5.1 Brazil
    • 11.5.2 Mexico
    • 11.5.3 Chile
  • 11.6 Middle East and Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 South Africa

Chapter 12. Company Profiles

  • 12.1 Global Players
    • 12.1.1 Texas Instruments
    • 12.1.2 Analog Devices
    • 12.1.3 NXP Semiconductors
    • 12.1.4 STMicroelectronics
    • 12.1.5 Renesas Electronics
    • 12.1.6 Infineon Technologies
    • 12.1.7 ON Semiconductor (onsemi)
    • 12.1.8 Microchip Technology
    • 12.1.9 ams OSRAM
  • 12.2 Regional Players
    • 12.2.1 BYD Semiconductor
    • 12.2.2 ABLIC
    • 12.2.3 Monolithic Power Systems
    • 12.2.4 SinoMOS Semiconductor
    • 12.2.5 Rohm Semiconductor
    • 12.2.6 Allegro MicroSystems
  • 12.3 Emerging Players
    • 12.3.1 Navitas Semiconductor
    • 12.3.2 Nexperia
    • 12.3.3 Melexis
    • 12.3.4 Sensata Technologies
    • 12.3.5 Cirrus Logic