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市場調査レポート
商品コード
1636952
自動車診断の市場規模、シェア、成長分析:タイプ別、デバイス別、車両タイプ別、地域別 - 産業予測 2025~2032年Automotive Diagnostics Market Size, Share, Growth Analysis, By Type (On-board, Off-board), By Device (Hand-held Tools, Mobile-based Tools), By Vehicle Type, By Region - Industry Forecast 2025-2032 |
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自動車診断の市場規模、シェア、成長分析:タイプ別、デバイス別、車両タイプ別、地域別 - 産業予測 2025~2032年 |
出版日: 2025年01月16日
発行: SkyQuest
ページ情報: 英文 317 Pages
納期: 3~5営業日
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自動車診断の世界市場規模は2023年に406億米ドルとなり、予測期間(2025~2032年)のCAGRは14.7%で、2024年の465億7,000万米ドルから2032年には1,395億1,000万米ドルに成長する見通しです。
世界の自動車診断市場は、主に電気自動車やハイブリッド車へのシフトによって急速に進化しており、その複雑な電気システムのために高度な診断ツールが求められています。車両エレクトロニクスの複雑化に伴い、信頼性が高く効率的な診断機器の必要性が高まっており、市場収益に大きく貢献しています。さらに、GPSや運転支援システムなどの先進技術を搭載したコネクテッドカーに対する消費者の関心の高まりが、この成長をさらに後押ししています。診断開発におけるAI、機械学習、IoTのような最先端技術の統合は、問題検出の効率を高め、車両とアフターマーケットの両方の需要を促進しています。電気自動車やハイブリッド車の普及が進むにつれ、自動車の複雑な課題に対応できる高度な診断ソリューションのニーズも高まっています。全体として、今後数年間は堅調な収益成長が見込まれます。
Global Automotive Diagnostics Market size was valued at USD 40.6 billion in 2023 and is poised to grow from USD 46.57 billion in 2024 to USD 139.51 billion by 2032, growing at a CAGR of 14.7% during the forecast period (2025-2032).
The global automotive diagnostics market is evolving rapidly, primarily driven by the shift towards electric and hybrid vehicles, which demand advanced diagnostic tools due to their intricate electrical systems. As the complexity of vehicle electronics increases, there is a growing necessity for reliable and efficient diagnostic equipment, contributing significantly to market revenue. Moreover, rising consumer interest in connected vehicles equipped with advanced technologies, including GPS and driver support systems, further fuels this growth. The integration of cutting-edge technologies like AI, machine learning, and IoT in diagnostic development is enhancing the efficiency of issue detection, driving both vehicle and aftermarket demand. As electric and hybrid vehicle adoption continues to rise, so too will the need for sophisticated diagnostic solutions capable of addressing complex automotive challenges. Overall, robust revenue growth is anticipated in the coming years.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Automotive Diagnostics market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Automotive Diagnostics Market Segmental Analysis
Global Automotive Diagnostics Market is segmented by Type, Device, Vehicle Type and Region. Based on Type, the market is segmented into On-board and Off-board. Based on Device, the market is segmented into Hand-held Tools, Mobile-based Tools, PC-based Tools and Others. Based on Vehicle Type, the market is segmented into Passenger Cars, Light Commercial Vehicles, Heavy Commercial Vehicles and Electric Vehicles. Based on Region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Global Automotive Diagnostics Market
The Global Automotive Diagnostics market is significantly influenced by the growing demand for connected car solutions. As the proliferation of connected car technologies continues to rise, the need for advanced diagnostic tools that facilitate remote diagnostics and real-time monitoring becomes increasingly imperative. This trend is propelling the demand for sophisticated diagnostic solutions that leverage connectivity to optimize vehicle maintenance and diagnostic processes. By integrating advanced technologies, automotive diagnostics can enhance efficiency, allowing for quicker issue identification and resolution, ultimately improving vehicle performance and customer experience. Thus, the evolution of connected vehicles is a vital driver shaping the future of this market.
Restraints in the Global Automotive Diagnostics Market
One of the significant restraints in the Global Automotive Diagnostics market is the lack of standardization. The diverse and inconsistent diagnostic protocols and interfaces utilized across various vehicle makes and models complicate the diagnostic process. This inconsistency can result in compatibility problems and interoperability challenges, ultimately undermining the effectiveness and reliability of diagnostic tools and systems. As different manufacturers employ their own specifications, technicians face difficulties in utilizing a unified diagnostic approach, which hampers efficiency and slows down repair processes. Consequently, the absence of a standardized framework not only affects the performance of diagnostic equipment but also limits advancements in the industry.
Market Trends of the Global Automotive Diagnostics Market
The Global Automotive Diagnostics market is witnessing a significant trend driven by the integration of Artificial Intelligence (AI) and Machine Learning (ML) technologies. These advancements facilitate enhanced capabilities in predictive maintenance, anomaly detection, and automated fault diagnosis, revolutionizing the way automotive issues are identified and resolved. AI-powered algorithms analyze vast datasets in real-time, enabling manufacturers and service providers to anticipate and address potential vehicle problems proactively. This shift not only boosts vehicle reliability but also minimizes downtime, ultimately improving customer satisfaction and operational efficiency. As these technologies evolve, the demand for sophisticated diagnostic solutions is expected to rise, positioning AI and ML as key drivers of market growth.