インキャビン自動車AI市場レポート : 2025-2033年

Report Overview

The global in-cabin automotive AI market size reached USD 177.0 Million in 2024. Looking forward, IMARC Group expects the market to reach USD 3,355.9 Million by 2033, exhibiting a growth rate (CAGR) of 36.74% during 2025-2033. The increasing demand for advanced driver assistance systems and autonomous driving technologies, growing demand for personalized driving experiences, and increasing adoption of electric vehicles represent some of the key factors driving the market. At present, Europe holds the largest share of the market due to the growing consumer demand for enhanced vehicle safety, personalized driving experiences, and advanced driver-assistance systems (ADAS), alongside regulations for road safety and emission reductions.

世界のインキャビン（車内）自動車AI市場規模は、2024年に1億7,700万米ドルに達しました。今後、IMARCグループは、市場が2033年までに33億5,590万米ドルに達し、2025年から2033年にかけて36.74%の成長率（CAGR）を示すと予想しています。先進運転支援システムと自動運転技術に対する需要の増加、パーソナライズされた運転体験に対する需要の増加、電気自動車の採用の増加は、市場を牽引する主要な要因の一部を表しています。現在、欧州は、強化された車両安全性、パーソナライズされた運転体験、先進運転支援システム（ADAS）に対する消費者の需要の高まりと、道路安全と排出ガス削減の規制により、市場で最大のシェアを占めています。

In-cabin automotive AI refers to the use of artificial intelligence (AI) and machine learning (ML) technologies in vehicles to improve the driving experience and enhance safety. This technology can be used to analyze data from different sources, including sensors, cameras, and microphones, to provide insights into the driver’s behavior, as well as the surrounding environment. In-cabin automotive AI can be used for numerous purposes, such as driver monitoring, facial recognition, voice recognition, and natural language processing. It can also be used to analyze data from vehicle sensors to detect potential safety hazards, such as lane departures, pedestrian detection, and collision avoidance. One of the key benefits of in-cabin automotive AI is its ability to adapt to individual driver behavior and preferences. In recent years, in-cabin automotive AI has gained traction as it has the potential to significantly improve the driving experience and enhance safety for both drivers and passengers.

インキャビン（車内）自動車AIとは、運転体験を改善し、安全性を高めるために、車両に人工知能 (AI) と機械学習 (ML) 技術を使用することを指します。この技術は、センサー、カメラ、マイクなどのさまざまなソースからのデータを分析し、ドライバーの行動や周囲の環境に関する洞察を提供するために使用できます。車内自動車 AI は、ドライバーの監視、顔認識、音声認識、自然言語処理など、さまざまな目的に使用できます。また、車両センサーからのデータを分析して、車線逸脱、歩行者検出、衝突回避などの潜在的な安全上の危険を検出するためにも使用できます。車内自動車 AI の主な利点の 1 つは、個々のドライバーの行動や好みに適応できることです。近年、車内自動車 AI は、運転体験を大幅に改善し、ドライバーと乗客の両方の安全性を高める可能性があることから、注目を集めています。

In-Cabin Automotive AI Market Trends:

One of the primary factors driving the market is the increasing demand for advanced driver assistance systems (ADAS) and autonomous driving technologies, which rely on AI and ML to analyze data from a variety of sensors and make real-time decisions based on this data. In-cabin AI can enhance these technologies by providing additional data on driver behavior and the surrounding environment, improving safety and reducing the risk of accidents. Additionally, the growing demand for personalized driving experiences is creating a positive market outlook. In-cabin AI can be used to learn a driver’s preferences for seat position, climate control, and entertainment, and automatically adjust these settings based on the driver’s behavior and environment. This improves the driving experience and also helps reduce driver fatigue and increase safety on long journeys. Other than this, the increasing adoption of electric vehicles (EVs) is creating new opportunities for in-cabin AI technologies. EVs require more sophisticated thermal management systems to maintain comfortable temperatures in the cabin, and AI can be used to optimize these systems based on driver behavior and weather conditions. In-cabin AI can also be used to monitor the battery and optimize charging behavior, improve range and reduce the risk of battery damage. Moreover, the rise of connected cars and the Internet of Things (IoT) is escalating the demand for in-cabin AI technologies as they can be integrated with other IoT devices, such as smart home systems and wearables, to provide a seamless driving experience that is connected to the driver’s broader digital life.

In-Cabin Automotive AI Market Report Coverage:

Key Market Segmentation:

IMARC Group provides an analysis of the key trends in each segment of the global in-cabin automotive AI market, along with forecasts at the global, regional, and country levels from 2025-2033. Our report has categorized the market based on the product and application.

Product Insights:

• Radar
• Camera
• Voice Assistant
• Smart Sensor

The report has provided a detailed breakup and analysis of the in-cabin automotive AI market based on the product. This includes radar, camera, voice assistant, and smart sensor. According to the report, camera represented the largest segment.

Application Insights:

• Occupant Monitoring System
• Driver Monitoring System
• Conversation Assistance
• Smart HVAC

A detailed breakup and analysis of the in-cabin automotive AI market based on the application has also been provided in the report. This includes occupant monitoring system, driver monitoring system, conversation assistance, and smart HVAC. According to the report, driver monitoring system accounted for the largest market share.

Regional Insights:

• North America
• United States
• Canada
• Europe
• Germany
• France
• United Kingdom
• Italy
• Spain
• Russia
• Others
• Asia Pacific
• China
• Japan
• India
• South Korea
• Australia
• Indonesia
• Others
• Latin America
• Brazil
• Mexico
• Others
• Middle East and Africa

The report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report Europe was the largest market for in-cabin automotive AI. Some of the factors driving the Europe In-cabin automotive AI market included increasing demand for advanced driver assistance systems (ADAS), growing trend toward autonomous driving, and rising demand for electric vehicles.

Competitive Landscape:

The report has also provided a comprehensive analysis of the competitive landscape in the global in-cabin automotive AI market. Detailed profiles of all major companies have also been provided. Some of the companies covered include Ambarella Inc., Aptiv Plc, Cipia Vision Ltd., Denso Corporation, Eyeris Technologies Inc., FORVIA Faurecia, Hyundai Mobis (Hyundai Motor Group), NXP Semiconductors N.V., Qualcomm Incorporated, Renesas Electronics Corporation, Robert Bosch GmbH (Robert Bosch Stiftung GmbH), Seeing Machines, Valeo, Visteon Corporation, ZF Friedrichshafen AG, etc. Kindly note that this only represents a partial list of companies, and the complete list has been provided in the report.

Key Questions Answered in This Report:

• How has the global in-cabin automotive AI market performed so far, and how will it perform in the coming years?
• What are the drivers, restraints, and opportunities in the global in-cabin automotive AI market?
• What is the impact of each driver, restraint, and opportunity on the global in-cabin automotive AI market?
• What are the key regional markets?
• Which countries represent the most attractive in-cabin automotive AI market?
• What is the breakup of the market based on the product?
• Which is the most attractive product in the in-cabin automotive AI market?
• What is the breakup of the market based on the application?
• Which is the most attractive application in the in-cabin automotive AI market?
• What is the competitive structure of the global in-cabin automotive AI market?
• Who are the key players/companies in the in-cabin automotive AI market?

IMARC Group（International Market Analysis Research and Consulting Group／アイマークグループ）は多様な産業・地域の経営戦略と市場調査に関する情報を世界の企業に提供するインドを拠点とした調査会社です。

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