세계의 자동차 예측 분석 시장 보고서(2025년)
Automotive Predictive Analytics Global Market Report 2025
상품코드 : 1888093
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 250 Pages
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한글목차

자동차 예측 분석 시장 규모는 최근 몇 년 동안 비약적으로 성장하고 있습니다. 2024년 13억 5,000만 달러로 평가되었고, 2025년에는 17억 달러로, CAGR 25.6%로 성장할 전망입니다. 과거의 성장은 클라우드 기반 분석의 통합 확대, 자동차 산업 내 경쟁 압력 증가, 센서 기술 채택 증가, 소프트웨어 정의 차량의 중요성 증가 및 차량 데이터 생성 증가로 인한 것으로 예측됩니다.

자동차 예측 분석 시장 규모는 향후 수년간 급격한 성장이 예상됩니다. 2029년에는 41억 7,000만 달러에 달하고, CAGR은 25.2%를 나타낼 전망입니다. 예측기간 동안의 성장요인으로는 차량의 다운타임 삭감에 대한 주목 증가, 자동차 분야에서의 빅데이터 분석의 도입 확대, 자동차 제조업체와 기술 기업간의 제휴 증가, 예측 보증 분석의 확대, 지속 가능하고 에너지 효율적인 차량 운용에 대한 관심 증가 등이 있습니다. 예측기간의 주요 동향으로는 예측보증관리의 진보, 운전행동 분석을 위한 고급 알고리즘의 개발, 에너지 절약형 예측 모델의 혁신, 진단을 위한 증강현실(AR)의 통합, 자율주행차 분석의 진전 등을 들 수 있습니다.

커넥티드카에 대한 수요 증가는 앞으로 수년간 자동차 예측 분석 시장의 성장을 이끌 것으로 예측됩니다. 커넥티드카란, 인터넷 접속과 통신 기술을 탑재해, 다른 차량, 인프라 및 외부 네트워크와 실시간 데이터 교환을 가능하게 합니다. 이 수요 증가의 주요 요인은 운전 체험을 향상시키면서 교통 업데이트, 차량 진단 및 긴급 지원에 즉시 액세스하면서 주행 경험을 향상시키는 실시간 안전 및 편의 기능에 대한 소비자 선호도 증가로 인해 발생합니다. 이를 통해 전반적인 안전성과 효율성이 향상됩니다. 자동차 예측 분석은 실시간 데이터를 활용하여 유지보수 요구사항 예측, 차량 성능 최적화, 안전성 향상을 실현하고 연결 차량을 지원합니다. 이를 통해 보다 스마트한 의사결정과 원활한 운전 체험이 가능합니다. 예를 들어 유럽환경청(EEA)에 따르면 2023년에는 전기차가 신차 등록 대수의 22.7%, 신밴 등록 대수의 7.7%를 차지하고, 신규 등록된 전기차는 총 240만대가 되었습니다. 이는 2022년의 200만 대에서 증가한 수치입니다. 따라서 커넥티드카에 대한 수요 증가는 자동차 예측 분석 시장의 성장에 기여할 것으로 예측됩니다.

자동차 예측 분석 시장에서 사업을 전개하는 주요 기업은 차량의 안전성 향상, 운영 효율성 강화, 잠재적인 고장의 미연 방지를 목적으로 하는 프로액티브 리스크 식별 등의 기술적 진보를 중시하고 있습니다. 사전 활동적인 위험 식별은 데이터 분석, 패턴 모니터링 및 예측 도구의 적용을 통해 잠재적인 위험과 위험을 사전에 감지하고 사고를 예방하고 보다 안전하고 효율적인 운영을 보장하기 위한 노력입니다. 예를 들어 2025년 7월, 아일랜드에 본사를 둔 소프트웨어 기업인 Protex AI Limited는 안전성과 운영 효율성을 향상시키는 AI 솔루션에서 중요한 진전이 되는 신제품 'Predictive Analytics'를 발표했습니다. 이 제품은 환경 위생 안전(EHS) 및 운영 팀이 새로운 위험을 사전에 식별하고 평가하고 실시간으로 데이터를 분석 할 수 있도록 설계되었습니다. 이를 통해 조직은 잠재적 위험이 사고로 발전하기 전에 해결할 수 있으며, Protex AI가 지능형 AI 구동 리스크 관리를 통해 보다 안전한 직장 환경을 촉진하고 운영 효율성을 높이기 위해 노력하고 있는 자세를 보여줍니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 : 금리, 인플레이션, 지정학, 무역전쟁과 관세, 그리고 코로나 및 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계 성장 분석과 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별/국가별 분석

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도와 기업 프로파일

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 부문, 전략

제36장 부록

SHW
영문 목차

영문목차

Automotive predictive analytics refers to the use of data, statistical algorithms, and machine learning techniques to analyze past and present information in order to make accurate predictions about future events within the automotive industry. It involves gathering data from vehicles, sensors, telematics systems, maintenance records, driver behavior, and external sources to detect patterns and forecast outcomes such as component failures, vehicle performance issues, accident risks, customer preferences, and maintenance requirements.

The key components of automotive predictive analytics are software, services, and hardware. Automotive predictive analytics software is a data-driven system that applies machine learning and statistical models to analyze vehicle and driver data, providing real-time forecasts of maintenance requirements, performance issues, and operational risks to enhance efficiency and safety. The various propulsion types include gasoline, diesel, all-electric, and fuel cell electric vehicle (FCEV). These are applied to different vehicle types such as passenger cars and commercial vehicles and are utilized in applications including predictive maintenance, vehicle telematics, driver and behavior analytics, and fleet management. They are also used by different end users such as original equipment manufacturers (OEMs), fleet operators, insurance providers, and other users.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The rapid escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are significantly impacting the information technology sector, particularly in hardware manufacturing, data infrastructure, and software deployment. Higher duties on imported semiconductors, circuit boards, and networking equipment have raised production and operational costs for tech firms, cloud service providers, and data centers. Companies relying on globally sourced components for laptops, servers, and consumer electronics are facing longer lead times and increased pricing pressures. In parallel, tariffs on specialized software tools and retaliatory measures from key international markets have disrupted global IT supply chains and reduced overseas demand for U.S.-developed technologies. To navigate these challenges, the sector is accelerating investments in domestic chip fabrication, diversifying supplier bases, and adopting AI-driven automation to enhance operational resilience and cost efficiency.

The automotive predictive analytics market research report is one of a series of new reports from The Business Research Company that provides automotive predictive analytics market statistics, including automotive predictive analytics industry global market size, regional shares, competitors with the automotive predictive analytics market share, automotive predictive analytics market segments, market trends, and opportunities, and any further data you may need to thrive in the automotive predictive analytics industry. This automotive predictive analytics market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The automotive predictive analytics market size has grown exponentially in recent years. It will grow from $1.35 billion in 2024 to $1.70 billion in 2025 at a compound annual growth rate (CAGR) of 25.6%. The growth during the historic period can be attributed to the growing integration of cloud-based analytics, the rising competitive pressure within the automotive industry, the increasing adoption of sensor technologies, the growing significance of software-defined vehicles, and the expanding generation of vehicle data.

The automotive predictive analytics market size is expected to see exponential growth in the next few years. It will grow to $4.17 billion in 2029 at a compound annual growth rate (CAGR) of 25.2%. The growth during the forecast period can be attributed to the rising focus on reducing vehicle downtime, the increasing adoption of big data analytics in the automotive sector, the growing partnerships between automotive and technology companies, the expansion of predictive warranty analytics, and the increasing interest in sustainable and energy-efficient vehicle operations. Key trends in the forecast period include advancements in predictive warranty management, the development of advanced algorithms for driver behavior analysis, innovations in energy-efficient predictive models, the integration of augmented reality for diagnostics, and progress in autonomous vehicle analytics.

The increasing demand for connected vehicles is expected to drive the growth of the automotive predictive analytics market in the coming years. Connected vehicles are automobiles equipped with internet connectivity and communication technologies that enable real-time data exchange with other vehicles, infrastructure, and external networks. The rising demand for connected vehicles is primarily driven by growing consumer preference for real-time safety and convenience features that enhance the driving experience while providing instant access to traffic updates, vehicle diagnostics, and emergency assistance, thereby improving overall safety and efficiency. Automotive predictive analytics supports connected vehicles by utilizing real-time data to predict maintenance requirements, optimize vehicle performance, and enhance safety, enabling smarter decision-making and a seamless driving experience. For instance, in 2023, according to the European Environment Agency (EEA), electric vehicles accounted for 22.7 percent of new car registrations and 7.7 percent of new van registrations, with a total of 2.4 million new electric cars registered, up from 2 million in 2022. Therefore, the increasing demand for connected vehicles is expected to contribute to the growth of the automotive predictive analytics market.

Key companies operating in the automotive predictive analytics market are emphasizing technological advancements such as proactive risk identification to improve vehicle safety, enhance operational efficiency, and prevent potential failures before they occur. Proactive risk identification involves detecting possible risks and hazards in advance by analyzing data, monitoring patterns, and applying predictive tools to prevent incidents and ensure safer, more efficient operation. For example, in July 2025, Protex AI Limited, an Ireland-based software company, introduced its new Predictive Analytics product, representing a significant development in safety and operational AI solutions. The product is designed to help environmental health and safety (EHS) and operations teams proactively identify and assess emerging risks, analyze data in real time, and enable organizations to address potential hazards before they develop into incidents, demonstrating Protex AI's commitment to promoting safer workplaces and improving operational efficiency through intelligent, AI-driven risk management.

In March 2024, J.D. Power LLC, a United States-based global data analytics, software, and consumer intelligence company that provides data-driven analytics across multiple industries, acquired Autovista Group for an undisclosed amount. This acquisition allows J.D. Power to strengthen its automotive data and analytics capabilities by integrating Autovista Group's expertise in vehicle valuation, market insights, and forecasting, enhancing decision-making for automakers, dealers, and financial institutions while expanding its presence across European and international markets. Autovista Group Limited is a United Kingdom-based automotive data and analytics company that provides automotive predictive analytics.

Major players in the automotive predictive analytics market are Robert Bosch GmbH, Accenture plc, ZF Friedrichshafen AG, Oracle Corporation, Continental AG, Honeywell International Inc., SAP SE, Capgemini SE, Valeo SE, Aptiv PLC, NXP Semiconductors N.V., Visteon Corporation, Trimble Inc., Solera Inc., PTC Inc., Intellias LLC, Samsara Inc., Geotab Inc., Uptake Technologies Inc., Intangles Lab Private Limited.

North America was the largest region in the automotive predictive analytics market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in automotive predictive analytics report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the automotive predictive analytics market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The automotive predictive analytics market consists of revenues earned by providing services such as predictive warranty management service, predictive fleet optimization and route efficiency service, real-time driver coaching analytics service, customer churn prediction consulting service, and predictive recall risk assessment service. The market value includes the value of related goods sold by the service provider or included within the service offering. The automotive predictive analytics market also includes sales of vehicle downtime prediction tools, warranty and claim prediction tools, dealer analytics and vehicle sales prediction tools, AI-based spare parts demand prediction tools, and real-time breakdown alert systems. Values in this market are 'factory gate' values; that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Automotive Predictive Analytics Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on automotive predictive analytics market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Where is the largest and fastest growing market for automotive predictive analytics ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The automotive predictive analytics market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

Scope

Table of Contents

1. Executive Summary

2. Automotive Predictive Analytics Market Characteristics

3. Automotive Predictive Analytics Market Trends And Strategies

4. Automotive Predictive Analytics Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

5. Global Automotive Predictive Analytics Growth Analysis And Strategic Analysis Framework

6. Automotive Predictive Analytics Market Segmentation

7. Automotive Predictive Analytics Market Regional And Country Analysis

8. Asia-Pacific Automotive Predictive Analytics Market

9. China Automotive Predictive Analytics Market

10. India Automotive Predictive Analytics Market

11. Japan Automotive Predictive Analytics Market

12. Australia Automotive Predictive Analytics Market

13. Indonesia Automotive Predictive Analytics Market

14. South Korea Automotive Predictive Analytics Market

15. Western Europe Automotive Predictive Analytics Market

16. UK Automotive Predictive Analytics Market

17. Germany Automotive Predictive Analytics Market

18. France Automotive Predictive Analytics Market

19. Italy Automotive Predictive Analytics Market

20. Spain Automotive Predictive Analytics Market

21. Eastern Europe Automotive Predictive Analytics Market

22. Russia Automotive Predictive Analytics Market

23. North America Automotive Predictive Analytics Market

24. USA Automotive Predictive Analytics Market

25. Canada Automotive Predictive Analytics Market

26. South America Automotive Predictive Analytics Market

27. Brazil Automotive Predictive Analytics Market

28. Middle East Automotive Predictive Analytics Market

29. Africa Automotive Predictive Analytics Market

30. Automotive Predictive Analytics Market Competitive Landscape And Company Profiles

31. Automotive Predictive Analytics Market Other Major And Innovative Companies

32. Global Automotive Predictive Analytics Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Automotive Predictive Analytics Market

34. Recent Developments In The Automotive Predictive Analytics Market

35. Automotive Predictive Analytics Market High Potential Countries, Segments and Strategies

36. Appendix

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