予測自動車技術市場 - 2031年の成長予測、統計および事実

  • Report Code : TIPRE00006520
  • Category : Automotive and Transportation
  • Status : Published
  • No. of Pages : 177
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予測車両テクノロジー市場は、2019 年に 210 億 3000 万米ドルと評価され、2020 年から 2027 年にかけて 13.5% の CAGR で成長し、2027 年までに 488 億 3000 万米ドルに達すると予想されています。

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予測車両テクノロジー市場は、ここ数年で世界中で顕著な成長を遂げてきました。予測分析は、自動車業界が自動車マーケティングの課題を管理するのをサポートします。これらのテクノロジーは主にデジタル接続されているため、自動車メーカーは、予測分析ツール、複雑なアルゴリズム、顧客関係管理 (CRM) プラットフォームを使用することで顧客の要求を満たすことができます。また、自動車の予測技術の導入に関連して、コラボレーションも行われています。複雑な技術を統合した新しい車両を製造するには、巨額の投資が必要です。したがって、自動車メーカーとテクノロジー企業は、リスクを軽減するために提携することを検討しています。例えば、フォルクスワーゲンとフォードは自動運転車の開発で提携すると予想されている。先進技術の提携と統合は、自動車予測技術の活況、ひいては市場の成長に貢献しています。

予測車両技術市場で有利な地域


市場洞察

自動運転車の出現

自動車メーカーとテクノロジー企業は、自動車が自動運転できる高度な技術の開発。自動運転車のテスト競争ではグーグルが先頭に立ち、アウディ、トヨタ、メルセデス・ベンツがそれに続く。自動運転車の台頭の増加に加えて、政府の規制の変化やコラボレーションも、自動車業界の変革を後押しする大きなトレンドの一つです。 EU、カナダ、中国などの規制は、占有要件、電化、報告要件、土地利用と交通計画の考慮事項に関する規則を包含する枠組みに基づいて法案を可決し、機能しています。前述の要因により、世界の予測車両テクノロジー市場は成長すると予測されています。

車両タイプベースのインサイト

タイプに基づく予測車両テクノロジー技術市場はさらに商用車と乗用車に分類されます。乗用車セグメントは、世界の予測車両技術市場で圧倒的なシェアを獲得しました。デルファイとロバート ボッシュは、乗員に先進的な車両関連技術ソリューションを提供するビジネスに従事している数少ない企業です。

ハードウェアベースのインサイト

予測車両テクノロジー市場は、ハードウェアごとに、ADAS、テレマティクス、OBD のサブセグメントに分かれています。 ADAS セグメントは、世界の予測車両技術市場で圧倒的なシェアを獲得しました。ドライバーの安全を確保し、交通事故を減らすために、ADAS に対する要求は国を超えて高まっています。たとえば、米国と欧州連合は、車両に前方衝突警報システムと自律型緊急ブレーキ システムを装備することを義務付けています。


車両タイプ別の世界の予測車両技術市場 – 2019& 2027 年


アプリケーションベースのインサイト

予測車両テクノロジー市場は、アプリケーションごとに、プロアクティブなアラートの安全性とセキュリティにさらに分類されます。安全性とセキュリティのセグメントは、世界の車両予測技術市場で圧倒的なシェアを獲得しました。外部の IoT センサーは、近接センサーやリアビュー カメラとして機能し、運転の安全性、駐車、安全性を向上させます。ドライバーの死角検出。また、これらのセンサーとカメラは、道路状況、気象状況、交通パターンを追跡します。予測技術と統合されたコネクテッド カーの助けにより、衝突や事故の予測と防止が可能になりました。

戦略的洞察

市場主導権と新しい開発戦略は、世界中で事業展開を拡大し、増大する需要に応えるために企業によって一般的に採用されています。これらの戦略は主に北米とヨーロッパで見られます。予測車両技術市場に参加するプレーヤーは、世界中の顧客ベースを拡大するために、研究開発への拡大と投資の戦略を採用しています。これにより、プレーヤーは世界的にブランド名を維持することもできます。

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予測車両技術市場 –ハードウェア別

  • ADAS
  • テレマティクス
  • OBD


予測車両技術市場 –車両タイプ別

  • 商用車
  • 乗用車


予測車両技術市場 –アプリケーション別

  • プロアクティブなアラート
  • 安全性とセキュリティ


予測車両テクノロジー市場 –地理別

  • 北アメリカ
    • 米国
    • カナダ
    • メキシコ
  • < li>ヨーロッパ
    • フランス
    • ドイツ
    • イタリア
    • イギリス
    • ロシア
    • 残りヨーロッパ
  • アジア太平洋 (APAC)
    • 中国
    • インド
    • 韓国
    • 日本
    • アジア太平洋地域のその他の地域
  • 中東およびその他の地域
  • アフリカ (MEA)
    • 南アフリカ
    • MEA の残りの部分
  • 南アメリカ (SAM)
    • ブラジル< /li>
    • アルゼンチン
    • SAM の残りの部分
  • 会社概要

    • アイシン精機株式会社
    • Aptiv PLC
    • Traffilog LTD
    • Continental AG
    • NXP Semiconductors NV
    • ロバート ボッシュ GmbH
    • ヴァレオ
    • ビステオン コーポレーション
    • HELLA GmbH & Ltd. Co. KGaA
    • ZF フリードリヒスハーフェン 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.

    Your data will never be shared with third parties, however, we may send you information from time to time about our products that may be of interest to you. By submitting your details, you agree to be contacted by us. You may contact us at any time to opt-out.

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