自動車ドライバーモニタリングシステムの世界市場規模：材料タイプ別、コンポーネント別、モニタリングタイプ別、地域範囲別、予測

自動車ドライバーモニタリングシステム（DMS）の市場規模と予測

自動車ドライバーモニタリングシステム（DMS）市場規模は、2024年に13億3,000万米ドルと評価され、2026年から2032年にかけてCAGR 10%で成長し、2032年には26億7,000万米ドルに達すると予測されます。

自動車ドライバーモニタリングシステム（DMS）は、自動車に搭載され、運転中のドライバーの行動や意識を受動的に監視する高度なシステムです。この技術は、センサー、カメラ、複雑なアルゴリズムを使用して、頭の位置、目を凝視する表情、さらには心拍数のような生理的徴候を含むさまざまな特性を評価します。これらのパラメーターを継続的に監視することで、DMSはドライバーの疲労、注意散漫、眠気、あるいは交通安全を損なう可能性のある損傷の指標を検出することを期待しています。

このシステムは、機械学習技術を使って継続的に性能と精度を高めています。これらのアルゴリズムは、さまざまな運転状況や人間の行動の大規模なデータセットで訓練されます。反復学習により、典型的な運転挙動と潜在的に危険な逸脱を区別するDMSの能力が向上します。

カメラシステムは通常、車室内に目立たないように隠されています。これらのカメラは、強力なコンピュータービジョンアルゴリズムを使ってドライバーの顔をリアルタイムで追跡します。顔の特徴を記録し分析することで、DMSは疲れや注意散漫を示すわずかな変化を識別することができます。例えば、まぶたが垂れ下がっていたり、あくびを頻繁にしたり、集中力のない表情をしていたりすると、システムアラートが作動する可能性があります。

自動車ドライバーモニタリングシステム（DMS）市場はCAGR 10％で成長し、2032年末までに26億7,000万米ドルに達すると推定されます。

自動車ドライバーモニタリングシステム（DMS）市場力学

世界の自動車ドライバーモニタリングシステム（DMS）市場を形成している主な市場力学は以下の通りです。

主な市場促進要因

安全規則：規制機関は高い安全基準への準拠を必要としています。DMS技術の統合により、安全規則と基準に準拠。ドライバーの警戒心と集中力を確保し、事故を回避します。不注意運転や居眠り運転に伴う危険を軽減します。

技術の進歩：より正確な監視を可能にするため、センサー技術は常に進歩しています。運転行動をリアルタイムで分析するAIアルゴリズムが開発されています。DMSとADASなどの他の安全システムとの統合。直感的なUIとフィードバック方法によるユーザー体験の向上。

市場の需要：安全運転に対する消費者の意識向上。

自動運転車や先進運転支援技術の普及が進んでいます。自動車メーカーは、最新の安全対策を盛り込むことで製品の差別化を図りたいと考えています。運行効率を確保するためにドライバーの監視を必要とする車両管理ソリューションが増加しています。

主な課題

精度と信頼性：ドライバーの行動や注意レベルを高い精度で検出することは、安全にとって非常に重要です。しかし、照明、天候、ドライバーの属性などの環境要因が変化する中で、一定の性能を維持することは非常に困難です。システムが、注意散漫でないドライバーを注意散漫と誤って分類したり、注意散漫が発生してもそれを識別できなかったりするため、誤検出や誤検出が信頼性に懸念をもたらす可能性があります。このような矛盾は、DMSに対する信頼を失墜させ、その有効性を危険にさらす可能性があります。

リアルタイム処理と応答：運転状況を効果的に判断するために感覚入力をリアルタイムで処理するには、強力な計算能力が必要です。処理の遅れやギャップは、疲労や注意散漫など、起こりうる安全上の危険に対してシステムが迅速に反応する能力を損なう可能性があります。警告信号や適応型車両制御システムなど、無謀な行動による事故リスクを低減するための迅速な警告や介入には、遅れの少ない応答が不可欠です。

適応性とカスタマイズ：ドライバーのさまざまな運転パターン、嗜好、身体的属性に効果的に対応できるDMSの設計は、工学的に難しい問題です。顔の特徴、姿勢、運転傾向のばらつきを調整するために、カスタマイズオプションが必要となる場合があります。さらに、さまざまな場所や市場で変化する法律や安全基準に適応できるシステムでなければならないです。

継続的な学習と新しいデータへの適応が可能な機械学習アルゴリズムを統合することで、ドライバーの行動パターンを認識し対応するシステムの長期的な能力を向上させることができます。しかし、こうした適応機能の信頼性と安全性を保証することは、依然として最優先課題です。

主要動向：

AIと機械学習の統合の進展：自動車ドライバーモニタリングシステム（DMS）は、その機能を向上させるために強力なAIと機械学習技術を統合しています。これらのシステムは、ディープラーニングアルゴリズムを使用して、疲労、注意散漫、障害などの運転行動を効果的に検出・分析します。AIを搭載したDMSは、個々の運転スタイルや環境条件に合わせて調整することができ、時間の経過とともに精度と信頼性が向上します。

高度なセンシング技術の統合：DMSは、カメラ、赤外線センサー、生体センサーなどの幅広いセンシング技術と組み合わされ、ドライバーに関する包括的なデータを収集します。マルチモダル・センサー・フュージョンにより、DMSはより広範なドライバー関連データを記録することができ、より包括的なモニタリングと分析が可能になります。LiDARのような新しいセンサー技術との統合は、DMSの能力を向上させる可能性があり、不利な運転状況下でもより正確な監視を可能にします。

法規制が採用を促進：世界の安全に関する法律が、自動車へのDMSの幅広い導入を後押ししています。規制機関は、ドライバーの注意散漫、疲労、障害に関連するリスクを軽減するため、新車にDMSの使用を義務付けています。規制基準の遵守は、より安全な運転体験を提供するだけでなく、メーカーが先進的なDMS技術に投資することを促します。

目次

第1章 イントロダクション

• 市場の定義
• 市場セグメンテーション
• 調査手法

第2章 エグゼクティブサマリー

• 主な調査結果
• 市場概要
• 市場ハイライト

第3章 市場概要

• 市場規模と成長の可能性
• 市場動向
• 市場促進要因
• 市場抑制要因
• 市場機会
• ポーターのファイブフォース分析

第4章 自動車ドライバーモニタリングシステム（DMS）市場：材料タイプ別

• イメージセンサー/カメラ
• 圧力マット
• 赤外線センサー
• ひずみゲージ
• ステアリング角度センサー

第5章 自動車ドライバーモニタリングシステム（DMS）市場：コンポーネント別

• ソフトウェア
• ハードウェア

第6章 自動車ドライバーモニタリングシステム（DMS）市場：モニタリングタイプ別

• ドライバー覚醒度モニタリング
• ドライバー疲労モニタリング
• 飲酒運転モニタリング
• アイデンティティ認識

第7章 地域別分析

• 北米
• 米国
• カナダ
• メキシコ
• 欧州
• 英国
• ドイツ
• フランス
• イタリア
• アジア太平洋
• 中国
• 日本
• インド
• オーストラリア
• ラテンアメリカ
• ブラジル
• アルゼンチン
• チリ
• 中東・アフリカ
• 南アフリカ
• サウジアラビア
• アラブ首長国連邦

第8章 市場力学

• 市場促進要因
• 市場抑制要因
• 市場機会
• COVID-19の市場への影響

第9章 競合情勢

• 主要企業
• 市場シェア分析

第10章 企業プロファイル

• Autoliv, Inc.
• Aisin Seiki Co., Ltd.
• Continental AG
• Denso Corporation
• Robert Bosch GmbH
• Valeo SA
• Magna International Inc.
• NXP Semiconductors
• Panasonic Corporation
• Texas Instruments Inc.
• ZF Friedrichshafen AG
• DELPHI
• DENSO

第11章 市場の展望と機会

• 新興技術
• 今後の市場動向
• 投資機会

第12章 付録

• 略語リスト
• 出典と参考文献

Automotive Driver Monitoring System (DMS) Market Size And Forecast

Automotive Driver Monitoring System (DMS) Market size was valued at USD 1.33 Billion in 2024 and is projected to reach USD 2.67 Billion by 2032, growing at a CAGR of 10% during the forecast period 2026-2032.

The Automotive Driver Monitoring System (DMS) is a sophisticated system installed into automobiles that passively monitors the driver's behavior and consciousness while driving. This technology uses sensors, cameras, and complex algorithms to assess a variety of characteristics including head position, eye staring facial expressions, and even physiological signs like heart rate. By continuously monitoring these parameters, the DMS hopes to detect indicators of driver fatigue, distraction, drowsiness, or damage, which might compromise road safety.

The system uses machine learning techniques to continuously enhance its performance and accuracy. These algorithms are trained on large datasets of various driving circumstances and human actions. Iterative learning improves the DMS's ability to distinguish between typical driving behavior and potentially hazardous deviations.

The camera system is usually discretely hidden within the vehicle's interior. These cameras use powerful computer vision algorithms to track the driver's face in real time. By recording and analyzing face features, the DMS can identify tiny changes that indicate tiredness or distraction. For example, drooping eyelids, frequent yawning, or an unfocused look may activate system alerts.

Automotive Driver Monitoring System (DMS) Market is estimated to grow at a CAGR of 10% & reach US$ 2.67 Bn by the end of 2032

Automotive Driver Monitoring System (DMS) Market Dynamics

The key market dynamics that are shaping the global automotive driver monitoring system (DMS) market include:

Key Market Drivers:

Safety Rules: Regulatory bodies need compliance with high safety standards. Integration of DMS technology to comply with safety rules and standards. Ensure driver vigilance and concentration to avoid accidents. Reduce the dangers associated with inattentive or drowsy driving.

Technological Advances: Sensor technology is always improving to allow for more accurate monitoring. AI algorithms are being developed to analyze driving behavior in real time. Integration of DMS with other safety systems, such as ADAS. Improved user experience with intuitive UI and feedback methods.

Market Demand: Raising consumer awareness of the issue of driving safety.

Self-driving cars and advanced driver support technologies are becoming increasingly popular. Automotive manufacturers want to differentiate their products by including modern safety measures. There has been an increase in fleet management solutions that require driver monitoring to ensure operational efficiency.

Key Challenges:

Accuracy and Reliability: Achieving high accuracy in detecting driver behavior and attention levels is critical to safety. However, maintaining constant performance under changing environmental factors like as lighting, weather, and driver demographics is a considerable difficulty. False positives and false negatives can cause reliability concerns since the system either wrongly classifies a non-distracted motorist as distracted or fails to identify distraction when it occurs. These inconsistencies may destroy trust in the DMS and risk its effectiveness.

Real-Time Processing and Response: Processing sensory input in real-time to effectively determine driving status necessitates strong computational capabilities. Delays or gaps in processing might impair the system's capacity to respond quickly to possible safety hazards such as tiredness or distraction. A low-late response is critical for rapid alerts or interventions such as warning signals or adaptive vehicle control systems to reduce the risk of accidents caused by reckless behavior.

Adaptability and Customization: Designing DMS that can effectively handle different driving patterns, preferences, and physical attributes of drivers is a difficult engineering issue. Customization options may be required to adjust for variations in facial characteristics, posture, and driving tendencies. Furthermore, the system should be adaptive to changing legislation and safety standards in various locations and markets.

Integrating machine learning algorithms capable of continual learning and adaption to new data can improve the system's long-term ability to recognize and respond to driver behavior patterns. However, guaranteeing the dependability and safety of these adaptive features remains a top priority.

Key Trends:

Advancements in AI and Machine Learning Integration: Automotive Driver Monitoring Systems (DMS) are integrating powerful AI and machine learning techniques to improve their capabilities. These systems use deep learning algorithms to effectively detect and analyze driving behavior including tiredness, distraction, or impairment. AI-powered DMS may adjust to individual driving styles and environmental conditions increasing accuracy and reliability over time.

Integration of Advanced Sensing Technologies: DMS are combined with a wide range of sensing technologies like as cameras, infrared sensors, and biometric sensors to collect comprehensive data on drivers. Multi-modal sensor fusion enables DMS to record a greater range of driver-related data resulting in more comprehensive monitoring and analysis. Integration with new sensor technologies such as LiDAR has the potential to improve DMS capabilities allowing for more precise monitoring even under adverse driving situations.

Regulatory Mandates Driving Adoption: Global safety laws are driving the broad deployment of DMS in automobile vehicles. Regulatory organizations are mandating the use of DMS in new vehicles to reduce the risks related to driver distraction, weariness, and impairment. Compliance with regulatory standards not only provides safer driving experiences but also encourages manufacturers to invest in advanced DMS technology.

Global Automotive Driver Monitoring System (DMS) Market Regional Analysis

Here is a more detailed regional analysis of the global Automotive Driver Monitoring System (DMS) Market:

North America:

The regulatory dynamics have a significant impact on the DMS adoption environment in North America. The region is distinguished by severe safety rules controlling the car sector which require the incorporation of modern safety measures to reduce the risks connected with driver negligence and illness. Regulatory organizations are aware of the growing relevance of DMS in improving road safety and are actively advocating for its widespread implementation which will drive market penetration and foster a favorable regulatory environment.

The growing demand for connected and autonomous vehicles (CAVs) is increasing as the automobile industry moves toward autonomy there will be also increased demand for advanced driver monitoring technologies to allow the seamless integration of human-machine interaction in semi-autonomous and autonomous vehicles. DMS, with its ability to measure driver alertness and attentiveness becomes critical in assisting the transition to higher levels of vehicle autonomy while maintaining safety.

The anticipated rise in the use of Driver Monitoring Systems (DMS) in North America highlights the region's critical role in influencing the future of vehicle safety. North America is emerging as a leader in the worldwide DMS market, driven by the rise of the automotive industry, technical advancements, regulatory rules, and changing market dynamics

Asia Pacific:

The Asia Pacific area is seeing a significant increase in demand for high-end vehicles, driven by factors such as increased disposable incomes, urbanization, and shifting customer preferences. As the region's economies grow, a rising number of consumers prefer luxury and premium vehicles which frequently have modern safety systems such as DMS. These features not only improve the driving experience but also play an important role in guaranteeing passenger safety.

The increase in automobile accidents in the Asia Pacific area has become a major issue leading regulatory agencies and automakers to focus on safety measures. According to figures from various governmental and non-governmental organizations, road traffic accidents continue to kill a significant amount of people each year with the Asia Pacific area accounting for a sizable proportion of these deaths.

Various governments and customers alike are embracing sustainable mobility alternatives and demand for electric vehicles is increasing across the areas. DMS technology can play an important role in improving the safety and user experience of electric vehicles by providing real-time monitoring of driver attention and ensuring optimal vehicle control, particularly in situations where EVs have distinct driving characteristics when compared to traditional combustion engines leading to the significant growth in the region.

Global Automotive Driver Monitoring System (DMS) Market: Segmentation Analysis

The global automotive driver monitoring system (DMS) market is segmented based on Material Type, Component, Monitoring Type, and Geography.

Automotive Driver Monitoring System (DMS) Market, By Material Type

• Image Sensors/Cameras
• Pressure Mats
• Infrared Sensors
• Strain Gauges
• Steering Angle Sensors

Based on Material Type, the market is bifurcated into Image Sensors/Cameras, Pressure Mats, Infrared Sensors, Strain Gauges, and Steering Angle Sensors. The Infrared Sensors segment is expected to dominate the market throughout the projected period. These sensors excel in detecting driver behavior by capturing infrared radiation, ensuring accurate and reliable monitoring capabilities for enhanced safety. It offers reliable performance in various lighting conditions including low light and darkness ensuring consistent monitoring capabilities regardless of environmental factors.

Automotive Driver Monitoring System (DMS) Market, By Component

• Software
• Hardware

Based on Components, the global automotive driver monitoring system (DMS) market is divided into Software and Hardware. The hardware segment is projected to hold a major share of the market. The dominance can be attributed to the indispensable role played by hardware components in facilitating the core functionalities of DMS. Key hardware components such as cameras, sensors, processors, and control units form the backbone of DMS technology enabling the capture, processing, and analysis of critical driver-related data in real-time.

Automotive Driver Monitoring System (DMS) Market, By Monitoring Type

• Driver Alertness Monitoring
• Driver Fatigue Monitoring
• Drunk Driving Monitoring
• Identity Recognition

Based on Monitoring Type, the global automotive driver monitoring system (DMS) market is divided into Driver Alertness Monitoring, Driver Fatigue Monitoring, Drunk Driving Monitoring, and Identity Recognition. The Driver Alertness Monitoring segment is projected to hold a major share of the market. By monitoring various parameters such as eye movements, facial expressions, and steering behavior, Driver Alertness Monitoring systems can issue timely warnings or alerts to drivers by preventing accidents and promoting safer driving practices. This segment's importance underscores the critical role of driver monitoring in enhancing road safety and reducing the risk of accidents.

Automotive Driver Monitoring System (DMS) Market, By Geography

• North America
• Europe
• Asia Pacific
• Rest of the World

Based on Geography, the global automotive driver monitoring system (DMS) market is classified into North America, Europe, Asia Pacific, and the Rest of the world. North America accounts for the largest market share in the automotive driver monitoring system (DMS) market. The consumers value innovative vehicle technologies such as DMS which improve both safety and driving experience. In addition, the presence of major automobile OEMs and technology providers in the region promotes innovation and the development of advanced DMS systems. Therefore, North America's domination in the DMS industry comes from a mix of regulations, customer demand, and advancements in technology.

Key Players

• The Global Automotive Driver Monitoring System (DMS) Market study report will provide valuable insight with an emphasis on the global market. The major players in the market are ROBERT BOSCH, Autoliv, Continental, DELPHI, DENSO, Omron Corporation, Valeo, Aisin Seiki, Magna International, Visteon Corporation, Johnson Controls, Tobii, Seeing Machines, and Smart Eye.

Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.

• Automotive Driver Monitoring System Market Recent Developments
• In July 2024, According to worldwide studies, almost one in every ten accidents is caused by a motorist being distracted or tired. To comply with the EU General Safety Regulation (GSR), all new vehicles must feature a driver sleepiness detection system.
• In July 2026, the GSR required all new automobiles to incorporate a driver attention-detecting system. Consumer testing such as Euro NCAP, as well as regulatory rules, determined market requirement.

TABLE OF CONTENTS

1. Introduction

• Market Definition
• Market Segmentation
• Research Methodology

2. Executive Summary

• Key Findings
• Market Overview
• Market Highlights

3. Market Overview

• Market Size and Growth Potential
• Market Trends
• Market Drivers
• Market Restraints
• Market Opportunities
• Porter's Five Forces Analysis

4. Automotive Driver Monitoring System (DMS) Market, By Material Type

• Image Sensors/Cameras
• Pressure Mats
• Infrared Sensors
• Strain Gauges
• Steering Angle Sensors

5. Automotive Driver Monitoring System (DMS) Market, By Component

• Software
• Hardware

6. Automotive Driver Monitoring System (DMS) Market, By Monitoring Type

• Driver Alertness Monitoring
• Driver Fatigue Monitoring
• Drunk Driving Monitoring
• Identity Recognition

7. Regional Analysis

• North America
• United States
• Canada
• Mexico
• Europe
• United Kingdom
• Germany
• France
• Italy
• Asia-Pacific
• China
• Japan
• India
• Australia
• Latin America
• Brazil
• Argentina
• Chile
• Middle East and Africa
• South Africa
• Saudi Arabia
• UAE

8. Market Dynamics

• Market Drivers
• Market Restraints
• Market Opportunities
• Impact of COVID-19 on the Market

9. Competitive Landscape

• Key Players
• Market Share Analysis

10. Company Profiles

• Autoliv, Inc.
• Aisin Seiki Co., Ltd.
• Continental AG
• Denso Corporation
• Robert Bosch GmbH
• Valeo SA
• Magna International Inc.
• NXP Semiconductors
• Panasonic Corporation
• Texas Instruments Inc.
• ZF Friedrichshafen AG
• DELPHI
• DENSO

11. Market Outlook and Opportunities

• Emerging Technologies
• Future Market Trends
• Investment Opportunities

12. Appendix

• List of Abbreviations
• Sources and References