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시장보고서
상품코드
1630604
자동차용 인공지능 시장 규모, 점유율, 성장 분석 : 컴포넌트별, 기술별, 프로세스별, 유형별, 차종별, 자율성 레벨별, 용도별, 지역별 - 산업 예측(2025-2032년)Automotive Artificial Intelligence Market Size, Share, Growth Analysis, By Component, By Technology, By Process, By Type, By Vehicle Type, By Level of Autonomy, By Application, By Region - Industry Forecast 2025-2032 |
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세계의 자동차용 인공지능(AI) 시장 규모는 2023년에 41억 달러로 평가되며, 2024년 50억 달러에서 2032년에는 243억 7,000만 달러로 성장하며, 예측 기간(2025-2032년)의 CAGR은 21.9%로 성장할 전망입니다.
인공지능(AI) 분야는 소프트웨어 공학에서 가장 발전이 더딘 분야 중 하나이지만, 언어 습득, 추론, 학습, 비판적 사고 등 인간의 인지 기능과 밀접한 관련이 있습니다. 제조업체들이 이러한 기술을 적용하고 정교화하는 데 있으며, 중요한 과학적 과제를 해결하면서 자동차 산업은 AI 혁신의 중요한 동력으로 부상하고 있으며, AI의 잠재력을 활용하기 위해 최선을 다하고 있는 자동차 회사들은 인간의 능력을 강화하고 모방하기 위해 이 기술을 통합하는 데 앞장서고 있습니다. 최전선에 있습니다. 이러한 시너지 효과는 자동차 산업의 상황을 혁신적으로 변화시킬 뿐만 아니라, 기업이 혁신의 복잡성을 극복하고 이 급성장하는 잠재력을 활용함에 따라 AI 시장의 성장 기회가 크게 확대되고 있다는 것을 의미합니다.
Global Automotive Artificial Intelligence (AI) Market size was valued at USD 4.1 billion in 2023 and is poised to grow from USD 5.0 billion in 2024 to USD 24.37 billion by 2032, growing at a CAGR of 21.9% during the forecast period (2025-2032).
The artificial intelligence (AI) sector, although one of the slower advancements in software engineering, is crucially interconnected with human cognitive functions like language acquisition, reasoning, learning, and critical thinking. As manufacturers grapple with significant scientific challenges in adapting and refining these technologies, the automotive industry emerges as a key driver of AI innovation. With a commitment to harnessing AI's potential, automotive firms are at the forefront of integrating this technology to enhance and mimic human capabilities. This synergy not only promises to revolutionize the automotive landscape but also signifies a robust opportunity for growth within the AI market, as companies navigate the complexities of innovation and seek to capitalize on this burgeoning potential.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Automotive Artificial Intelligence (Ai) 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 Artificial Intelligence (AI) Market Segmental Analysis
Global Automotive Artificial Intelligence (AI) Market is segmented by Component, Technology, Process, Type, Vehicle Type, Level of Autonomy, Application and region. Based on Component, the market is segmented into Hardware and Software. Based on Technology, the market is segmented into Deep Learning, Machine Learning, Context- aware Computing, Computer Vision, Natural Language Processing and Others. Based on Process, the market is segmented into Signal Recognition, Image Recognition and Data Mining. Based on Type, the market is segmented into Graphics processing unit (GPU), Microprocessors (Incl. ASIC), Field Programmable Gate Array (FPGA), Memory and Storage systems, Image Sensors, Biometric Scanners and Others. Based on Vehicle Type, the market is segmented into Passenger Vehicles and Commercial Vehicles. Based on Level of Autonomy, the market is segmented into Level 1, Level 2, Level 3 and Level 4. Based on Application, the market is segmented into Human-Machine Interface, Semi-autonomous Driving, Autonomous Driving, Identity Authentication, Driver Monitoring, Autonomous Driving Processor Chips and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Global Automotive Artificial Intelligence (AI) Market
The Global Automotive Artificial Intelligence (AI) market is experiencing significant growth driven by the swift adoption of advanced technologies. As consumers become more informed about the latest innovations, the demand for self-driving vehicles is on the rise, leading to enhanced interest in advanced driver assistance systems. Automakers are keenly observing these trends and are actively developing cutting-edge solutions to improve driver safety and convenience. Moreover, the rising emphasis on passenger comfort and the need for customizable features are further boosting AI implementation in vehicles. This combination of factors is significantly enhancing the market share for automotive AI technologies.
Restraints in the Global Automotive Artificial Intelligence (AI) Market
The Global Automotive Artificial Intelligence (AI) market faces several restraints, particularly concerning safety concerns that may impede its growth. While autonomous vehicles have made advancements and increased customer engagement, issues surrounding safety and security remain significant hurdles. Issues such as personal data privacy, susceptibility to digital attacks, and potential driver distractions are critical considerations. Notably, incidents like a software bug affecting approximately 1.4 million Fiat Chrysler vehicles in the U.S. and malware embedded in Tesla's systems underscore the vulnerability of these technologies. Such security breaches present serious challenges that can hinder market development and consumer trust in AI-powered automotive solutions.
Market Trends of the Global Automotive Artificial Intelligence (AI) Market
The Global Automotive Artificial Intelligence (AI) market is witnessing a significant upward trend, fueled by surging consumer confidence in self-driving technology and a growing demand for advanced driver-assist systems. As consumers prioritize safety and convenience, automakers are responding by innovating AI-driven solutions that enhance driving experiences and reduce stress. This shift is leading to an exponential growth in demand for self-driving vehicles, with manufacturers leveraging AI capabilities to stay competitive. Factors such as rising expectations for driver comfort and improved mobility access further bolster the market, positioning AI as a transformative force in the automotive industry through 2030 and beyond.