• Cat-intel
  • MedIntelliX
  • Resources
  • About Us
  • Request Free Sample ×

    Kindly complete the form below to receive a free sample of this Report

    Leading companies partner with us for data-driven Insights

    clients tt-cursor
    Hero Background

    South Korea Applied Ai In Autonomous Vehicles Market

    ID: MRFR/ICT/62050-HCR
    200 Pages
    Aarti Dhapte
    October 2025

    South Korea Applied AI in Autonomous Vehicles Market Research Report By Component (Hardware, Software, Services), By Technology (Machine Learning, Natural Language Processing, Computer Vision, Context-Aware Computing, Others), By Type (Semi-autonomous Vehicles, Fully-autonomous Vehicles) and By Vehicle Type (Passenger Vehicle, Commercial Vehicle)-Forecast to 2035

    Share:
    Download PDF ×

    We do not share your information with anyone. However, we may send you emails based on your report interest from time to time. You may contact us at any time to opt-out.

    Purchase Options

    South Korea Applied Ai In Autonomous Vehicles Market Summary

    As per MRFR analysis, the applied AI in autonomous vehicles market size was estimated at 62.93 USD Million in 2024. The applied ai-in-autonomous-vehicles market is projected to grow from 79.83 USD Million in 2025 to 861.79 USD Million by 2035, exhibiting a compound annual growth rate (CAGR) of 26.86% during the forecast period 2025 - 2035.

    Key Market Trends & Highlights

    The South Korea applied AI-in-autonomous-vehicles market is poised for substantial growth driven by regulatory support and technological advancements.

    • Regulatory support and innovation are fostering a conducive environment for the applied AI-in-autonomous-vehicles market in South Korea.
    • Consumer awareness and demand for safer and more efficient transportation solutions are on the rise, influencing market dynamics.
    • Collaboration between automotive manufacturers and tech companies is becoming increasingly prevalent, enhancing the development of autonomous technologies.
    • Technological advancements in AI and government initiatives are key drivers propelling the market forward, particularly in urban areas facing traffic congestion.

    Market Size & Forecast

    2024 Market Size 62.93 (USD Million)
    2035 Market Size 861.79 (USD Million)

    Major Players

    Waymo (US), Tesla (US), Cruise (US), Aurora (US), Baidu (CN), Nuro (US), Mobileye (IL), Zoox (US), Pony.ai (CN)

    South Korea Applied Ai In Autonomous Vehicles Market Trends

    The applied ai-in-autonomous-vehicles market is experiencing notable advancements, particularly in South Korea, where the integration of artificial intelligence technologies is reshaping transportation. The government has been proactive in establishing regulatory frameworks that support the development and testing of autonomous vehicles. This regulatory environment encourages innovation and investment, fostering a competitive landscape among local manufacturers and technology firms. Furthermore, South Korea's robust technological infrastructure and high internet penetration rate facilitate the deployment of advanced AI systems in vehicles, enhancing safety and efficiency. In addition to regulatory support, there is a growing consumer interest in autonomous driving solutions. South Korean consumers are increasingly aware of the benefits associated with AI-driven vehicles, such as reduced traffic congestion and improved road safety. This shift in consumer perception is likely to drive demand for applied ai-in-autonomous-vehicles, prompting manufacturers to accelerate their research and development efforts. As the market evolves, collaboration between automotive companies and tech firms is expected to intensify, leading to innovative solutions that address the unique challenges of urban mobility in South Korea. Overall, the applied ai-in-autonomous-vehicles market appears poised for significant growth, driven by technological advancements and supportive government policies.

    Regulatory Support and Innovation

    The South Korean government actively promotes the applied ai-in-autonomous-vehicles market through favorable regulations. Initiatives aimed at creating a conducive environment for testing and deploying autonomous technologies are evident. This regulatory framework not only encourages innovation but also attracts investments from both domestic and international players, enhancing the competitive landscape.

    Consumer Awareness and Demand

    There is a noticeable increase in consumer awareness regarding the benefits of applied ai-in-autonomous-vehicles. South Korean consumers are becoming more informed about the advantages of AI-driven solutions, such as enhanced safety and efficiency. This growing interest is likely to stimulate demand, prompting manufacturers to focus on developing user-friendly and reliable autonomous systems.

    Collaboration Between Sectors

    Collaboration between automotive manufacturers and technology firms is intensifying in South Korea. This trend reflects a strategic approach to leverage expertise from both sectors, facilitating the development of innovative solutions tailored to the unique challenges of urban mobility. Such partnerships are expected to accelerate advancements in the applied ai-in-autonomous-vehicles market.

    South Korea Applied Ai In Autonomous Vehicles Market Drivers

    Consumer Safety Concerns

    Consumer safety concerns are paramount in the applied ai-in-autonomous-vehicles market. In South Korea, public apprehension regarding the safety of autonomous vehicles remains a significant barrier to widespread adoption. However, advancements in AI technology are addressing these concerns by improving vehicle safety features. For instance, AI systems can analyze real-time data to predict and prevent accidents, potentially reducing road fatalities by 50%. As consumers become more aware of these safety enhancements, confidence in autonomous vehicles is expected to increase, driving market growth. The focus on safety is likely to shape product development strategies among manufacturers.

    Technological Advancements in AI

    The applied ai-in-autonomous-vehicles market is experiencing rapid technological advancements, particularly in AI algorithms and machine learning capabilities. These innovations enhance vehicle perception, decision-making, and navigation systems, leading to improved safety and efficiency. In South Korea, the government has invested heavily in AI research, allocating approximately $1 billion to support the development of smart transportation systems. This funding is likely to accelerate the integration of AI technologies in autonomous vehicles, fostering a competitive environment for local manufacturers. As a result, the market is projected to grow at a CAGR of 15% over the next five years, driven by these technological breakthroughs.

    Collaboration with Tech Companies

    Collaboration between automotive manufacturers and technology companies is a driving force in the applied ai-in-autonomous-vehicles market. In South Korea, partnerships are emerging as key strategies for innovation. Major automotive firms are teaming up with AI startups to leverage cutting-edge technologies and accelerate the development of autonomous systems. For example, a leading South Korean automaker has partnered with a prominent AI firm to enhance its vehicle's machine learning capabilities. Such collaborations not only facilitate knowledge sharing but also enable faster deployment of advanced features, thereby enhancing the competitive landscape of the market.

    Government Initiatives and Funding

    Government initiatives play a crucial role in shaping the applied ai-in-autonomous-vehicles market. In South Korea, the government has launched various programs aimed at promoting the development and deployment of autonomous vehicles. For instance, the Ministry of Land, Infrastructure and Transport has set a target to have 10% of all vehicles on the road be autonomous by 2030. This ambitious goal is supported by substantial funding, with an estimated $500 million allocated for research and development in the sector. Such initiatives not only stimulate innovation but also create a favorable regulatory environment, encouraging investment from both domestic and international players.

    Rising Urbanization and Traffic Congestion

    Urbanization in South Korea is accelerating, with over 80% of the population residing in urban areas. This trend contributes to increasing traffic congestion, which poses significant challenges for transportation systems. The applied ai-in-autonomous-vehicles market is positioned to address these issues by offering solutions that enhance traffic management and reduce congestion. Autonomous vehicles equipped with AI can optimize routes and improve traffic flow, potentially decreasing travel times by up to 30%. As cities continue to grow, the demand for innovative transportation solutions is likely to rise, further propelling the market forward.

    Market Segment Insights

    By Component: Software (Largest) vs. Hardware (Fastest-Growing)

    In the South Korea applied ai-in-autonomous-vehicles market, the component segment is primarily characterized by a significant share held by software solutions, which dominate the landscape. This segment has established itself as the backbone of intelligent systems in autonomous vehicles, making up a substantial portion of the total market while hardware follows closely behind. Hardware is crucial, primarily serving as the physical foundation that powers the software algorithms, driving its relevance, too. Looking at growth trends, hardware is emerging as the fastest-growing segment, propelled by continuous advancements in sensor technology and processing power. The demand for more sophisticated hardware that can support increasingly complex AI functionalities in autonomous vehicles is driving this growth. The software segment remains vital as innovations in AI algorithms and machine learning enhance the capabilities of autonomous systems, making it indispensable for sustained operational performance and user experience.

    Software (Dominant) vs. Hardware (Emerging)

    In the South Korea applied ai-in-autonomous-vehicles market, software solutions hold the dominant position due to their integral role in enabling functionalities such as navigation, obstacle detection, and decision-making processes. As the technology matures, software is evolving with highly adaptive capabilities, ensuring seamless operation across a range of vehicle types. On the other hand, hardware, while currently an emerging segment, is swiftly gaining ground with the increasing deployment of new sensors, cameras, and processing units that enhance vehicle functionality. This rapid advancement is driven by the need for higher-performance components that can support complex AI algorithms, establishing hardware as an essential player in the ecosystem.

    By Technology: Machine Learning (Largest) vs. Natural Language Processing (Fastest-Growing)

    In the South Korea applied ai-in-autonomous-vehicles market, 'Machine Learning' holds the largest share, significantly influencing current technological advancements. Following closely, 'Natural Language Processing' is rapidly gaining traction among various stakeholders, reflecting a shift in how autonomous systems interpret and process human language. Other segments like 'Computer Vision' and 'Context-Aware Computing' also contribute, but to a lesser extent, promoting a diversified technological landscape. The growth trends in this segment are primarily driven by increasing investments in AI technologies and higher demand for enhanced safety features in autonomous vehicles. Emerging applications and collaborations among tech companies further accelerate innovation within these segments. Specifically, the growing reliance on 'Natural Language Processing' indicates a movement towards more interactive and user-friendly AI systems in vehicles, making them safer and more accessible to drivers and passengers alike.

    Machine Learning: Dominant vs. Natural Language Processing: Emerging

    Machine Learning remains the dominant technology within the South Korea applied ai-in-autonomous-vehicles market, essential for predictive analytics and data processing. Its extensive application range includes enhancing decision-making capabilities of autonomous vehicles, thus improving overall efficiency and safety. In contrast, 'Natural Language Processing' emerges as a vital technology that is increasingly critical for facilitating communication between humans and machines. This technology enhances vehicle navigation and user interaction through voice commands, making it a key player in the ongoing evolution of AI in vehicles. While 'Machine Learning' establishes a strong foothold, 'Natural Language Processing' is poised for rapid growth as demand for intuitive operational frameworks continues to rise.

    By Type: Semi-autonomous Vehicles (Largest) vs. Fully Autonomous Vehicles (Fastest-Growing)

    In the South Korea applied ai-in-autonomous-vehicles market, semi-autonomous vehicles currently hold a significant portion of the market share compared to their fully autonomous counterparts. As consumers become more familiar with autonomous technology, semi-autonomous vehicles are widely adopted for their enhanced safety features and incremental automation capabilities. This segment remains prominent due to its balance between cost and functionality, appealing to a broad consumer base. On the other hand, fully autonomous vehicles, though currently representing a smaller market share, exhibit rapid growth potential driven by advancements in AI technologies and increased investments from automakers. Consumer acceptance is on the rise, alongside supportive government initiatives promoting autonomous vehicle testing, contributing to the segment's robust outlook as it positions itself for future prominence in the market.

    Semi-autonomous Vehicles (Dominant) vs. Fully Autonomous Vehicles (Emerging)

    Semi-autonomous vehicles are characterized by their blend of traditional driving and automated features, making them popular among consumers seeking convenience without completely relinquishing control. They offer essential safety systems and driver assistance technologies that enhance the driving experience and are often priced competitively. In contrast, fully autonomous vehicles represent the frontier of automotive technology, focusing on all-around automation without the need for human intervention. This emerging segment is marked by significant investment in AI, with automakers racing to develop reliable systems that can navigate complex environments. As technology evolves, fully autonomous vehicles are anticipated to become a key player in the market, offering transformative potential to everyday transportation.

    By Vehicle Type: Passenger Vehicles (Largest) vs. Commercial Vehicles (Fastest-Growing)

    In the South Korea applied ai-in-autonomous-vehicles market, the distribution of market share among vehicle types reveals that passenger vehicles lead with a significant presence, appealing to consumers seeking convenience and advanced technology in personal mobility. Commercial vehicles are generating increasing interest due to their application in logistics and delivery services, which is enhancing their overall market share. Growth trends indicate that while passenger vehicles remain dominant, commercial vehicles are rapidly evolving, driven by innovations in AI technology and increasing demands for autonomous transport solutions. The shift toward automation in freight and delivery sectors is propelling commercial vehicles as the fastest-growing segment in the market. This trend reflects broader changes in consumer behavior and business logistics that favor efficiency and reliability in transportation.

    Passenger Vehicles (Dominant) vs. Commercial Vehicles (Emerging)

    Passenger vehicles are characterized by their focus on comfort, convenience, and the integration of advanced AI features that enhance driving safety and user experience. They dominate the market due to ongoing consumer demand for smart mobility solutions. In contrast, commercial vehicles, while emerging, are becoming crucial in the transport industry, particularly for last-mile delivery and logistics services. This segment is witnessing increased investments in AI applications to improve operational efficiency and reduce costs. The expansion of e-commerce and the need for automated fleet management are propelling commercial vehicles, making them a significant contender in the ongoing transformation within the South Korea applied ai-in-autonomous-vehicles market.

    Get more detailed insights about South Korea Applied Ai In Autonomous Vehicles Market

    Key Players and Competitive Insights

    The applied ai-in-autonomous-vehicles market in South Korea is characterized by a dynamic competitive landscape, driven by rapid technological advancements and increasing consumer demand for autonomous solutions. Major players such as Waymo (US), Tesla (US), and Baidu (CN) are at the forefront, each adopting distinct strategies to enhance their market presence. Waymo (US) focuses on innovation through extensive R&D investments, while Tesla (US) emphasizes vertical integration and software development to enhance its autonomous driving capabilities. Baidu (CN), on the other hand, leverages its strong AI expertise to develop autonomous driving solutions tailored for the Asian market, indicating a diverse approach among these key players that collectively shapes the competitive environment.

    In terms of business tactics, companies are increasingly localizing manufacturing and optimizing supply chains to enhance operational efficiency. The market structure appears moderately fragmented, with several players vying for dominance. This fragmentation allows for a variety of innovative solutions to emerge, as companies seek to differentiate themselves through unique technological offerings and strategic partnerships.

    In October 2025, Waymo (US) announced a partnership with a leading South Korean automotive manufacturer to co-develop autonomous vehicle technology tailored for urban environments. This collaboration is likely to enhance Waymo's operational capabilities in Asia, allowing it to leverage local expertise and infrastructure, which could significantly accelerate its market penetration in South Korea.

    In September 2025, Tesla (US) unveiled its latest AI-driven software update, which includes advanced features for its autonomous vehicles. This update is expected to improve safety and efficiency, reinforcing Tesla's position as a leader in the autonomous vehicle sector. The strategic importance of this development lies in its potential to attract a broader customer base, particularly among tech-savvy consumers who prioritize cutting-edge technology in their vehicle choices.

    In August 2025, Baidu (CN) launched a new initiative aimed at expanding its autonomous ride-hailing services in South Korea. This move is indicative of Baidu's commitment to establishing a strong foothold in the region, as it seeks to capitalize on the growing demand for mobility solutions. The strategic significance of this initiative is underscored by Baidu's ability to integrate its AI capabilities with local market needs, potentially setting a benchmark for competitors.

    As of November 2025, current trends in the applied ai-in-autonomous-vehicles market are heavily influenced by digitalization, sustainability, and the integration of AI technologies. Strategic alliances are increasingly shaping the competitive landscape, as companies recognize the value of collaboration in driving innovation. Looking ahead, competitive differentiation is likely to evolve from traditional price-based competition to a focus on technological innovation, reliability in supply chains, and the ability to deliver sustainable solutions. This shift suggests that companies that prioritize R&D and strategic partnerships will be better positioned to thrive in this rapidly changing market.

    Future Outlook

    South Korea Applied Ai In Autonomous Vehicles Market Future Outlook

    The applied ai-in-autonomous-vehicles market is projected to grow at a 26.86% CAGR from 2024 to 2035, driven by technological advancements, regulatory support, and increasing consumer demand.

    New opportunities lie in:

    • Development of AI-driven predictive maintenance solutions for fleet operators.
    • Integration of advanced sensor technologies for enhanced vehicle safety.
    • Creation of subscription-based models for autonomous vehicle access.

    By 2035, the market is expected to achieve substantial growth and innovation.

    Market Segmentation

    South Korea Applied Ai In Autonomous Vehicles Market Type Outlook

    • Semi-autonomous Vehicles
    • Fully Autonomous Vehicles

    South Korea Applied Ai In Autonomous Vehicles Market Component Outlook

    • Hardware
    • Software
    • Services

    South Korea Applied Ai In Autonomous Vehicles Market Technology Outlook

    • Machine Learning
    • Natural Language Processing
    • Computer Vision
    • Context-Aware Computing
    • Others

    South Korea Applied Ai In Autonomous Vehicles Market Vehicle Type Outlook

    • Passenger Vehicles
    • Commercial Vehicles

    Report Scope

    MARKET SIZE 202462.93(USD Million)
    MARKET SIZE 202579.83(USD Million)
    MARKET SIZE 2035861.79(USD Million)
    COMPOUND ANNUAL GROWTH RATE (CAGR)26.86% (2024 - 2035)
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    BASE YEAR2024
    Market Forecast Period2025 - 2035
    Historical Data2019 - 2024
    Market Forecast UnitsUSD Million
    Key Companies Profiled["Waymo (US)", "Tesla (US)", "Cruise (US)", "Aurora (US)", "Baidu (CN)", "Nuro (US)", "Mobileye (IL)", "Zoox (US)", "Pony.ai (CN)"]
    Segments CoveredComponent, Technology, Type, Vehicle Type
    Key Market OpportunitiesIntegration of advanced AI algorithms enhances safety and efficiency in the applied ai-in-autonomous-vehicles market.
    Key Market DynamicsIntensifying competition and regulatory advancements drive innovation in South Korea's applied AI in autonomous vehicles market.
    Countries CoveredSouth Korea

    Leave a Comment

    FAQs

    What is the expected market size of the South Korea Applied AI in Autonomous Vehicles Market in 2024?

    The South Korea Applied AI in Autonomous Vehicles Market is expected to be valued at 71.6 million USD in 2024.

    What is the projected market size of the South Korea Applied AI in Autonomous Vehicles Market by 2035?

    By 2035, the market is anticipated to reach a valuation of 1185.0 million USD.

    What is the expected CAGR for the South Korea Applied AI in Autonomous Vehicles Market between 2025 and 2035?

    The expected CAGR for the market from 2025 to 2035 is projected to be 29.063%.

    What are the major components of the South Korea Applied AI in Autonomous Vehicles Market?

    The market is segmented into hardware, software, and services.

    How much is the hardware segment valued at in 2024 within the South Korea Applied AI in Autonomous Vehicles Market?

    The hardware segment is valued at 20.0 million USD in 2024.

    What is the estimated value of the software segment in the South Korea Applied AI in Autonomous Vehicles Market by 2035?

    The software segment is expected to be valued at 600.0 million USD by 2035.

    How much is the services segment anticipated to be worth in 2035 for the South Korea Applied AI in Autonomous Vehicles Market?

    The services segment is projected to reach 265.0 million USD by 2035.

    Who are the key players in the South Korea Applied AI in Autonomous Vehicles Market?

    Major players in the market include LG Electronics, SK Telecom, Kia, and Hyundai Motor Company among others.

    What growth drivers are influencing the South Korea Applied AI in Autonomous Vehicles Market?

    Key growth drivers include advancements in AI technology and increasing demand for autonomous vehicles.

    How is the overall South Korea Applied AI in Autonomous Vehicles Market expected to evolve by 2035?

    The market is expected to significantly evolve, expanding from 71.6 million USD in 2024 to 1185.0 million USD by 2035.

    Download Free Sample

    Kindly complete the form below to receive a free sample of this Report

    Case Study
    Chemicals and Materials

    Compare Licence

    ×
    Features License Type
    Single User Multiuser License Enterprise User
    Price $4,950 $5,950 $7,250
    Maximum User Access Limit 1 User Upto 10 Users Unrestricted Access Throughout the Organization
    Free Customization
    Direct Access to Analyst
    Deliverable Format
    Platform Access
    Discount on Next Purchase 10% 15% 15%
    Printable Versions