예측 차량 기술 시장 조사 – 규모, 점유율, 개발 및 미래 범위 2031

  • Report Code : TIPRE00006520
  • Category : Automotive and Transportation
  • Status : Published
  • No. of Pages : 177
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예측 차량 기술 시장은 2019년에 미화 210억 3천만 달러로 평가되었으며, 2020년부터 2027년까지 연평균 성장률(CAGR) 13.5%로 성장하여 2027년에는 미화 488억 3천만 달러에 이를 것으로 예상됩니다.

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예측 차량 기술 시장은 지난 몇 년 동안 전 세계적으로 눈에 띄는 성장을 목격했습니다. 예측 분석은 자동차 마케팅 과제를 관리하는 데 있어 자동차 산업을 지원합니다. 예측 분석 도구, 복잡한 알고리즘 및 고객 관계 관리(CRM) 플랫폼을 사용하여 자동차 제조업체는 이러한 기술이 주로 디지털로 연결되어 있기 때문에 고객 요구를 충족할 수 있습니다. 또한, 자동차 예측 기술 도입과 관련해 협력도 이뤄지고 있다. 복잡한 기술이 집약된 새로운 자동차를 만들기 위해서는 막대한 투자가 필요합니다. 따라서 자동차 제조업체와 기술 회사는 위험을 완화하기 위해 파트너십을 기대하고 있습니다. 예를 들어 폭스바겐과 포드는 자율주행차 개발을 위해 힘을 합칠 것으로 예상된다. 첨단 기술의 제휴와 통합은 예측 자동차 기술의 급성장과 그에 따른 시장 성장에 기여하고 있습니다.

예측 자동차 기술 시장의 수익성이 높은 지역


시장 통찰

자율주행차의 출현

자동차 제조업체와 기술 기업이 자동차가 스스로 운전할 수 있는 정교한 기술 개발. 자율주행차 테스트 경쟁에서는 구글이 선두를 달리고 있으며 아우디, 토요타, 메르세데스-벤츠가 뒤를 잇고 있다. 자율주행차의 등장이 증가하는 것 외에도, 변화하는 정부 규제와 협력은 자동차 산업의 변화를 뒷받침하는 주요 트렌드 중 하나입니다. EU, 캐나다, 중국과 같은 규정에서는 점유 요구 사항, 전력 공급, 보고 요구 사항, 토지 이용 및 교통 계획에 대한 고려 사항에 관한 규칙을 포괄하는 프레임워크에 대한 법안을 통과시키고 기능하고 있습니다. 이러한 요인으로 인해 글로벌 예측 차량 기술 시장은 성장할 것으로 예상됩니다.

차량 유형 기반 통찰력

유형에 따라 예측 차량은 기술 시장은 상용차와 승용차로 더욱 세분화됩니다. 승용차 부문은 전 세계 예측 차량 기술 시장에서 지배적인 점유율을 차지했습니다. Delphi와 Robert Bosch는 승객에게 고급 차량 관련 기술 솔루션을 제공하는 사업에 종사하는 몇몇 회사입니다. 자동차 부문.

하드웨어 기반 통찰력

하드웨어별로 예측 차량 기술 시장은 edintoADAS, 텔레매틱스 및 OBD의 하위 세그먼트입니다. ADAS 부문은 전 세계 예측 차량 기술 시장에서 압도적인 점유율을 차지하고 있습니다. 운전자의 안전을 보장하고 교통 사고를 줄이기 위해 ADAS에 대한 요구 사항이 국가 전반에 걸쳐 증가하고 있습니다. 예를 들어, 미국과 유럽 연합에서는 차량에 전방 충돌 경고 시스템과 자율 긴급 제동 시스템을 의무화하고 있습니다.


차량 유형별 글로벌 예측 차량 기술 시장 – 2019& 2027


애플리케이션 기반 통찰력

예측 차량 기술 시장 는 애플리케이션에 따라 사전 경고 안전 및 보안으로 더욱 세분화됩니다. 안전 및 보안 부문은 전 세계 예측 차량 기술 시장에서 지배적인 점유율을 차지했습니다. 외부 IoT 센서는 근접 센서 및 후방 카메라로 작동하여 운전을 보다 안전하게 만들고 주차를 허용하며 운전자의 사각지대 감지. 또한 이러한 센서와 카메라는 도로 상태, 날씨 상태, 교통 패턴을 추적합니다. 예측 기술이 결합된 커넥티드 카의 도움으로 충돌 및 사고의 예측과 예방이 가능해졌습니다.

전략적 통찰력

시장 주도권 및 새로운 개발 전략은 기업이 전 세계적으로 입지를 확장하고 증가하는 수요를 충족하기 위해 일반적으로 채택됩니다. 이러한 전략은 주로 북미와 유럽에서 관찰됩니다. 예측 차량 기술 시장에 참여하는 플레이어는 전 세계적으로 고객 기반을 확대하기 위해 연구 개발에 대한 확장 및 투자 전략을 채택하며, 이를 통해 플레이어는 전 세계적으로 브랜드 이름을 유지할 수도 있습니다.

 

자동차 예측 기술 시장 – 하드웨어별

  • ADAS
  • 텔레매틱스
  • OBD


예측 차량 기술 시장 – 차량 유형별

  • 상용차
  • 승용차


예측 차량 기술 시장 – 애플리케이션 별

  • 사전 경고
  • 안전 및 보안


예측 차량 기술 시장 – 지역별

  • 북미
    • 미국
    • 캐나다
    • 멕시코
  • < li>유럽
    • 프랑스
    • 독일
    • 이탈리아
    • 영국
    • 러시아
    • 나머지 유럽
  • 아시아 태평양(APAC)
    • 중국
    • 인도
    • 대한민국
    • 일본
    • 기타 APAC 지역
  • 중동 및amp; 아프리카(MEA)
    • 남아프리카
    • 나머지 MEA
  • 남아메리카(SAM)
    • 브라질< /li>
    • 아르헨티나
    • SAM의 나머지

회사 프로필

  • AISIN SEIKI Co.Ltd.
  • Aptiv PLC
  • Traffilog LTD
  • Continental AG
  • NXP Semiconductors NV
  • Robert Bosch GmbH
  • Valeo
  • Visteon Corporation
  • HELLA GmbH & KGaA
  • ZF Friedrichshafen AG
Report Coverage
Report Coverage

Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends

Segment Covered
Segment Covered

This text is related
to segments covered.

Regional Scope
Regional Scope

North America, Europe, Asia Pacific, Middle East & Africa, South & Central America

Country Scope
Country Scope

This text is related
to country scope.

Frequently Asked Questions


What are reasons behind the growth of predictive vehicle technology market in AsiaPacific?

The continuous growth in the economies of developing countries, such as India and China, and huge disposable incomes in Japan and Australia, among others, have facilitated the rapid growth of the automotive industry in this region. The auto manufacturers in APAC are focusing on developing technologically advanced products to gain a strong market position. The automotive industry in Asian countries is growing; however, due to amid outbreak of COVID-19, the production of automotive could witness a few interruptions. In context to sales of automobiles in the Asian countries, such as India, it has witness a drop in sales, which might be a pressing situation in the connected car industry.

What are the future opportunities for the predictive vehicle technology market?

Data management is a prevailingopportunity in a connected car arena. Connected cars stream massive amounts of data into the cloud, and thus to utilize extensive data, the need for predictive analysis and data analysis is expected to grow. Predictive maintenance, predictive collision avoidance, automotive marketing, automotive marketing, and data management of connected cars are among the concepts responsible for the growth of the market. Thus, the demand for data management solutionsis anticipated to provide growth opportunities for the predictive vehicle technologymarket during 2019–2027.

Which hardware is likely to hold the major share ofthe global predictive vehicle technologymarket?

In 2019, the ADAS segment led the predictive vehicle technology market,by hardware,and it is anticipated to continue its dominance during 2020–2027.Factors such as government regulations and consumer interest in safety applications are accountable to the rising need for ADAS in connected cars.

The List of Companies - Predictive Vehicle Technology Market

  1. AISIN SEIKI Co. Ltd
  2. Aptiv PLC
  3. Continental AG
  4. HELLA GmbH and Co. KGaA
  5. Nxp Semiconductors N.V
  6. Robert Bosch GmbH
  7. Traffilog LTD
  8. Valeo
  9. Visteon Corporation
  10. ZF Friedrichshafen AG

The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.

  1. Data Collection and Secondary Research:

As a market research and consulting firm operating from a decade, we have published and advised several client across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.

Several associations trade associates, technical forums, institutes, societies and organization are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in last 3 years are scrutinized and analyzed to understand the current market trends.

  1. Primary Research:

The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.

For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.

A typical research interview fulfils the following functions:

  • Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
  • Validates and strengthens in-house secondary research findings
  • Develops the analysis team’s expertise and market understanding

Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:

  • Industry participants: VPs, business development managers, market intelligence managers and national sales managers
  • Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.

Below is the breakup of our primary respondents by company, designation, and region:

Research Methodology

Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.

  1. Data Analysis:

Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.

  • Macro-Economic Factor Analysis:

We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.

  • Country Level Data:

Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.

  • Company Profile:

The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.

  • Developing Base Number:

Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.

  1. Data Triangulation and Final Review:

The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.

We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.

We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.

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