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市場調查報告書
商品編碼
1841992

美國軟體定義汽車市場：市場規模、佔有率、趨勢分析（按部署方式、類型和最終用途分類）、細分市場預測（2025-2033 年）

U.S. Software-Defined Vehicles Market Size, Share & Trends Analysis Report By Deployment Mode, By Type, By End Use, And Segment Forecasts, 2025 - 2033
出版日期: | 出版商: Grand View Research | 英文 100 Pages | 商品交期: 2-10個工作天內

價格

市場規模與趨勢：

據估計，美國軟體定義汽車 (SDV) 市場在 2024 年的價值為 76.3 億美元，預計到 2033 年將達到 708.2 億美元，從 2025 年到 2033 年的複合年成長率為 28.2%。

美國軟體定義汽車市場的成長主要得益於人工智慧與車輛系統日益緊密的融合。汽車製造商正致力於利用先進的軟體平台來提升車輛的功能和性能。這一趨勢推動了更智慧、更具適應性的車載系統的發展，同時也促進了軟體的頻繁更新和功能的持續改進。人工智慧和軟體創新的不斷進步將加速美國全面實現軟體定義汽車的進程。例如，總部位於美國的通用汽車公司於2025年3月宣布擴大與英偉達的合作，旨在將人工智慧整合到未來的車輛和製造流程中。此次合作將利用英偉達的Omnibus平台創建工廠的數位雙胞胎以提高效率，並利用NVIDIA Drive AGX平台開發高級駕駛輔助系統（ADAS）和提升車載體驗。

在美國，對軟體主導的車輛功能的日益重視正在推動軟體定義汽車行業的發展。汽車製造商優先考慮持續改進和更新，以提升車輛性能。先進的系統整合正成為確保車輛各部件無縫運作的關鍵。這種方法使車輛能夠更好地適應用戶需求並做出更快速的回應。例如，福特汽車公司於2025年8月宣布推出通用電動車平台，以支援價格親民的軟體定義電動車，首款車型則是售價3萬美元的中型皮卡，計畫於2027年投產。該平台和新的生產系統旨在降低成本、提高效率，並實現諸如空中升級和自動駕駛等高級功能。

空中下載 (OTA) 更新已成為現代汽車設計不可或缺的一部分，使製造商能夠遠端實施全面的軟體改進和全新功能，而無需車主前往服務中心。這項功能讓車輛能夠及時且有效率地直接從製造商處獲得關鍵的性能最佳化、安全修補程式和漏洞修復，從而確保安全性和可靠性。除了維護之外，OTA 更新還使汽車製造商能夠在車輛的整個生命週期中不斷添加創新功能並提升用戶體驗。駕駛者能夠根據自己的偏好和使用習慣自訂軟體，從而獲得更個人化和適應性的駕駛體驗。 OTA 更新的廣泛應用正在將汽車轉變為一個動態的、不斷發展的平台，將便利性、高效性和先進技術整合完美結合。

目錄

第1章 分析方法和範圍

第2章執行摘要

第3章美國軟體定義汽車市場：促進因素、趨勢與範圍

  • 美國軟體定義汽車市場展望
  • 產業價值鏈分析
  • 市場動態
    • 市場促進因素分析
    • 市場限制因素分析
    • 產業挑戰
  • 波特五力分析
    • 供應商的議價能力
    • 買方議價能力
    • 替代品的威脅
    • 新參與企業的威脅
    • 競爭對手之間的競爭
  • PESTEL分析
    • 政治因素
    • 經濟因素
    • 社會因素
    • 技術因素
    • 環境因素
    • 法律因素

第4章：美國軟體定義汽車市場展望、估算與以部署方式分類的預測

  • 美國軟體定義汽車市場：按部署方式分類的趨勢分析（2024 年和 2033 年）

第5章：美國軟體定義汽車市場展望、估算與預測（按類型分類）

  • 美國軟體定義汽車市場：按類型分類的趨勢分析（2024 年和 2033 年）
    • 自主軟體定義車輛
    • 互聯軟體定義車輛
    • 電動軟體定義汽車
    • 軟體定義汽車，提升資訊娛樂與舒適性
    • 混合軟體定義車輛

第6章美國軟體定義汽車市場：依最終用途分類的展望、估算與預測

  • 美國軟體定義汽車市場：趨勢分析、最終用途趨勢分析（2024 年和 2033 年）
    • 高級駕駛輔助系統（ADAS）
    • 自動駕駛
    • 資訊娛樂系統
    • 電動車（EV）管理
    • 車通訊（V2X）
    • 個人化

第7章美國軟體定義汽車市場：競爭格局

  • 主要市場參與企業的最新趨勢和影響分析
  • 供應商格局
  • 競爭動態
  • 公司簡介/上市公司
Product Code: GVR-4-68040-737-6

Market Size & Trends:

The U.S. software-defined vehicles market size was estimated at USD 7.63 billion in 2024 and is projected to reach USD 70.82 billion by 2033, growing at a CAGR of 28.2% from 2025 to 2033. The U.S. Software-Defined Vehicle (SDV) market growth is driven by the increasing integration of AI into vehicle systems. Automakers are focusing on utilizing advanced software platforms to enhance vehicle functionality and performance. This trend is promoting the development of more intelligent and adaptable in-vehicle systems. It is also encouraging frequent software updates and continuous feature improvements. The emphasis on AI and software innovation is accelerating the transformation toward fully software-defined vehicles in the U.S. For instance, in March 2025, General Motors, a U.S.-based automotive company, announced an expanded partnership with NVIDIA to integrate AI into its future vehicles and manufacturing processes. The partnership will utilize NVIDIA's Omniverse platform to create digital twins of factories, improving efficiency, and will use NVIDIA DRIVE AGX for advanced driver-assistance systems and in-vehicle experiences.

A stronger emphasis on software-driven vehicle functionality is driving the U.S. software-defined vehicles industry. Automakers are prioritizing continuous improvements and updates to enhance vehicle performance. Advanced system integration is becoming a key focus to ensure seamless operation across vehicle components. This approach allows vehicles to be more adaptable and responsive to user needs. The shift toward software-centric design is accelerating the growth of the SDV market in the U.S. For instance, in August 2025, Ford Motor Company announced its Universal EV platform, which will support a range of affordable, software-defined electric vehicles starting with a $30,000 mid-size pickup truck slated for production in 2027. The platform and its new production system are designed to reduce costs, improve efficiency, and enable advanced features such as over-the-air updates and hands-free driving.

Over-the-air (OTA) updates have become an essential component of modern vehicle design, allowing manufacturers to remotely deliver comprehensive software improvements and introduce entirely new functionalities without requiring a visit to a service center. This capability enables vehicles to receive critical performance optimizations, security patches, and bug fixes directly from the manufacturer in a timely and efficient manner, ensuring both safety and reliability. Beyond maintenance, OTA updates allow automakers to continuously add innovative features and enhance the user experience over the vehicle's entire lifecycle. Drivers benefit from a more personalized and adaptive driving experience, as software can be customized to their preferences and usage patterns. The widespread adoption of OTA updates is transforming vehicles into dynamic, continuously evolving platforms that combine convenience, efficiency, and advanced technological integration.

U.S. Software-Defined Vehicles Market Report Segmentation

This report offers revenue growth forecasts at the country level and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the U.S. software-defined vehicles market report based on deployment mode, type, and end use:

  • Deployment Mode Outlook (Revenue, USD Billion, 2021 - 2033)
  • On-Board (Edge)
  • Cloud-Based
  • Type Outlook (Revenue, USD Billion, 2021 - 2033)
  • Autonomous Software-Defined Vehicles
  • Connected Software-Defined Vehicles
  • Electric Software-Defined Vehicles
  • Infotainment and Comfort Software-Defined Vehicles
  • Hybrid Software-Defined Vehicles
  • End Use Outlook (Revenue, USD Billion, 2021 - 2033)
  • Advanced Driver-Assistance Systems (ADAS)
  • Autonomous Driving
  • Infotainment Systems
  • Electric Vehicle (EV) Management
  • Vehicle-to-Everything (V2X) Communication
  • Personalization

Table of Contents

Chapter 1. Methodology and Scope

  • 1.1. Market Segmentation & Scope
  • 1.2. Market Definition
  • 1.3. Information Procurement
    • 1.3.1. Purchased Database
    • 1.3.2. GVR's Internal Database
    • 1.3.3. Secondary Sources & Third-Party Perspectives
    • 1.3.4. Primary Research
  • 1.4. Information Analysis
    • 1.4.1. Data Analysis Models
  • 1.5. Market Formulation & Data Visualization
  • 1.6. Data Validation & Publishing

Chapter 2. Executive Summary

  • 2.1. Market Insights
  • 2.2. Segmental Outlook
  • 2.3. Competitive Outlook

Chapter 3. U.S. Software-Defined Vehicles Market Variables, Trends & Scope

  • 3.1. U.S. Software-Defined Vehicles Market Outlook
  • 3.2. Industry Value Chain Analysis
  • 3.3. Market Dynamics
    • 3.3.1. Market Driver Analysis
    • 3.3.2. Market Restraint Analysis
    • 3.3.3. Industry Challenges
  • 3.4. Porter's Five Forces Analysis
    • 3.4.1. Supplier Power
    • 3.4.2. Buyer Power
    • 3.4.3. Substitution Threat
    • 3.4.4. Threat from New Entrant
    • 3.4.5. Competitive Rivalry
  • 3.5. PESTEL Analysis
    • 3.5.1. Political Landscape
    • 3.5.2. Economic Landscape
    • 3.5.3. Social Landscape
    • 3.5.4. Technological Landscape
    • 3.5.5. Environmental Landscape
    • 3.5.6. Legal Landscape

Chapter 4. U.S. Software-Defined Vehicles Market: Deployment Mode Estimates & Forecasts

  • 4.1. U.S. Software-Defined Vehicles Market: Deployment Mode Movement Analysis, 2024 & 2033
    • 4.1.1. On-Board (Edge)
      • 4.1.1.1. On-Board (Edge) Market estimates and forecast, 2021 - 2033 (USD Billion)
    • 4.1.2. Cloud-Based
      • 4.1.2.1. Cloud-Based Market estimates and forecast, 2021 - 2033 (USD Billion)

Chapter 5. U.S. Software-Defined Vehicles Market: Type Outlook Estimates & Forecasts

  • 5.1. U.S. Software-Defined Vehicles Market: Type Movement Analysis, 2024 & 2033
    • 5.1.1. Autonomous Software-Defined Vehicles
      • 5.1.1.1. Autonomous Software-Defined Vehicles Market estimates and forecast, 2021 - 2033 (USD Billion)
    • 5.1.2. Connected Software-Defined Vehicles
      • 5.1.2.1. Connected Software-Defined Vehicles Market estimates and forecast, 2021 - 2033 (USD Billion)
    • 5.1.3. Electric Software-Defined Vehicles
      • 5.1.3.1. Electric Software-Defined Vehicles Market estimates and forecast, 2021 - 2033 (USD Billion)
    • 5.1.4. Infotainment and Comfort Software-Defined Vehicles
      • 5.1.4.1. Infotainment and Comfort Software-Defined Vehicles Market estimates and forecast, 2021 - 2033 (USD Billion)
    • 5.1.5. Hybrid Software-Defined Vehicles
      • 5.1.5.1. Hybrid Software-Defined Vehicles Market estimates and forecast, 2021 - 2033 (USD Billion)

Chapter 6. U.S. Software-Defined Vehicles Market: End Use Outlook Estimates & Forecasts

  • 6.1. U.S. Software-Defined Vehicles Market: End Use Movement Analysis, 2024 & 2033
    • 6.1.1. Advanced Driver-Assistance Systems (ADAS)
      • 6.1.1.1. Advanced Driver-Assistance Systems (ADAS) Market estimates and forecast, 2021 - 2033 (USD Billion)
    • 6.1.2. Autonomous Driving
      • 6.1.2.1. Autonomous Driving Market estimates and forecast, 2021 - 2033 (USD Billion)
    • 6.1.3. Infotainment Systems
      • 6.1.3.1. Infotainment Systems Market estimates and forecast, 2021 - 2033 (USD Billion)
    • 6.1.4. Electric Vehicle (EV) Management
      • 6.1.4.1. Electric Vehicle (EV) Management Market estimates and forecast, 2021 - 2033 (USD Billion)
    • 6.1.5. Vehicle-to-Everything (V2X) Communication
      • 6.1.5.1. Vehicle-to-Everything (V2X) Communication Market estimates and forecast, 2021 - 2033 (USD Billion)
    • 6.1.6. Personalization
      • 6.1.6.1. Personalization Market estimates and forecast, 2021 - 2033 (USD Billion)

Chapter 7. U.S. Software-Defined Vehicles Market: Competitive Landscape

  • 7.1. Recent Developments & Impact Analysis, By Key Market Participants
  • 7.2. Vendor Landscape
    • 7.2.1. Company categorization
    • 7.2.2. List of Key Distributors and Channel Partners
    • 7.2.3. List of Potential Customers/Listing
  • 7.3. Competitive Dynamics
    • 7.3.1. Competitive Benchmarking
    • 7.3.2. Strategy Mapping
    • 7.3.3. Heat Map Analysis
  • 7.4. Company Profiles/Listing
    • 7.4.1. Aptiv PLC
      • 7.4.1.1. Participant's overview
      • 7.4.1.2. Financial performance
      • 7.4.1.3. Deployment Mode benchmarking
      • 7.4.1.4. Strategic initiatives
    • 7.4.2. Aurora Operations, Inc.
      • 7.4.2.1. Participant's overview
      • 7.4.2.2. Financial performance
      • 7.4.2.3. Deployment Mode benchmarking
      • 7.4.2.4. Strategic initiatives
    • 7.4.3. Ford Motor Company
      • 7.4.3.1. Participant's overview
      • 7.4.3.2. Financial performance
      • 7.4.3.3. Deployment Mode benchmarking
      • 7.4.3.4. Strategic initiatives
    • 7.4.4. General Motors (GM)
      • 7.4.4.1. Participant's overview
      • 7.4.4.2. Financial performance
      • 7.4.4.3. Deployment Mode benchmarking
      • 7.4.4.4. Strategic initiatives
    • 7.4.5. Mobileye
      • 7.4.5.1. Participant's overview
      • 7.4.5.2. Financial performance
      • 7.4.5.3. Deployment Mode benchmarking
      • 7.4.5.4. Strategic initiatives
    • 7.4.6. NVIDIA Corporation
      • 7.4.6.1. Participant's overview
      • 7.4.6.2. Financial performance
      • 7.4.6.3. Deployment Mode benchmarking
      • 7.4.6.4. Strategic initiatives
    • 7.4.7. Rivian Automotive, Inc.
      • 7.4.7.1. Participant's overview
      • 7.4.7.2. Financial performance
      • 7.4.7.3. Deployment Mode benchmarking
      • 7.4.7.4. Strategic initiatives
    • 7.4.8. Tesla, Inc.
      • 7.4.8.1. Participant's overview
      • 7.4.8.2. Financial performance
      • 7.4.8.3. Deployment Mode benchmarking
      • 7.4.8.4. Strategic initiatives
    • 7.4.9. Waymo LLC
      • 7.4.9.1. Participant's overview
      • 7.4.9.2. Financial performance
      • 7.4.9.3. Deployment Mode benchmarking
      • 7.4.9.4. Strategic initiatives
    • 7.4.10. Zoox, Inc.
      • 7.4.10.1. Participant's overview
      • 7.4.10.2. Financial performance
      • 7.4.10.3. Deployment Mode benchmarking
      • 7.4.10.4. Strategic initiatives

List of Tables

  • Table 1 U.S. Software-Defined Vehicles market estimates and forecasts, by Deployment Mode, 2021 - 2033 (USD Billion)
  • Table 2 U.S. Software-Defined Vehicles market estimates and forecasts, by Type, 2021 - 2033 (USD Billion)
  • Table 3 U.S. Software-Defined Vehicles market estimates and forecasts, by End Use, 2021 - 2033 (USD Billion)

List of Figures

  • Fig. 1 U.S. Software-Defined Vehicles market segmentation
  • Fig. 2 Market research process
  • Fig. 3 Information procurement
  • Fig. 4 Primary research pattern
  • Fig. 5 Market research approaches
  • Fig. 6 Parent market analysis
  • Fig. 7 Market formulation & validation
  • Fig. 8 U.S. Software-Defined Vehicles market snapshot
  • Fig. 9 U.S. Software-Defined Vehicles market segment snapshot
  • Fig. 10 U.S. Software-Defined Vehicles market competitive landscape snapshot
  • Fig. 11 Market driver relevance analysis (Current & future impact)
  • Fig. 12 Market restraint relevance analysis (Current & future impact)
  • Fig. 13 Value Chain Analysis
  • Fig. 14 U.S. Software-Defined Vehicles market: Deployment Mode outlook key takeaways (USD Billion)
  • Fig. 15 U.S. Software-Defined Vehicles market: Deployment Mode movement analysis 2024 & 2033 (USD Billion)
  • Fig. 16 On-Board (Edge) market revenue estimates and forecasts, 2021 - 2033 (USD Billion)
  • Fig. 17 Cloud-Based market revenue estimates and forecasts, 2021 - 2033 (USD Billion)
  • Fig. 18 U.S. Software-Defined Vehicles market: Type outlook key takeaways (USD Billion)
  • Fig. 19 U.S. Software-Defined Vehicles market: Type movement analysis 2024 & 2033 (USD Billion)
  • Fig. 20 Autonomous Software-Defined Vehicles market revenue estimates and forecasts, 2021 - 2033 (USD Billion)
  • Fig. 21 Connected Software-Defined Vehicles market revenue estimates and forecasts, 2021 - 2033 (USD Billion)
  • Fig. 22 Electric Software-Defined Vehicles market revenue estimates and forecasts, 2021 - 2033 (USD Billion)
  • Fig. 23 Infotainment and Comfort Software-Defined Vehicles market revenue estimates and forecasts, 2021 - 2033 (USD Billion)
  • Fig. 24 Hybrid Software-Defined Vehicles market revenue estimates and forecasts, 2021 - 2033 (USD Billion)
  • Fig. 25 U.S. Software-Defined Vehicles market: End Use outlook key takeaways (USD Billion)
  • Fig. 26 U.S. Software-Defined Vehicles market: End Use movement analysis 2024 & 2033 (USD Billion)
  • Fig. 27 Advanced Driver-Assistance Systems (ADAS) market revenue estimates and forecasts, 2021 - 2033 (USD Billion)
  • Fig. 28 Autonomous Driving market revenue estimates and forecasts, 2021 - 2033 (USD Billion)
  • Fig. 29 Infotainment Systems market revenue estimates and forecasts, 2021 - 2033 (USD Billion)
  • Fig. 30 Electric Vehicle (EV) Management market revenue estimates and forecasts, 2021 - 2033 (USD Billion)
  • Fig. 31 Vehicle-to-Everything (V2X) Communication market revenue estimates and forecasts, 2021 - 2033 (USD Billion)
  • Fig. 32 Personalization market revenue estimates and forecasts, 2021 - 2033 (USD Billion)
  • Fig. 33 Strategy framework
  • Fig. 34 Company Categorization