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시장보고서
상품코드
1993235
자동차용 소프트웨어 개발 및 보안 솔루션Automotive Software Development & Security Solutions |
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VDC Strategy
커넥티드카, 전동화, 고도의 자동화, 소프트웨어 정의 차량을 구현하기 위한 새로운 플랫폼과 기능을 제공하는 업체들이 속속 등장하면서 자동차 업계에는 관심과 투자, 혁신의 물결이 넘쳐나고 있습니다.
이 보고서는 자동차 소프트웨어, 개발 및 구축 도구, 사이버 보안 솔루션 시장을 정의하고 평가하며, 변화를 주도하는 요인에 대한 정량적 및 정성적 인사이트를 제공합니다. 또한, 빠르게 변화하는 시장 환경을 재편하고 있는 최근 동향, 변화하는 엔지니어링 요구사항, 벤더의 전략에 대해서도 살펴봅니다.
기술의 발전으로 소프트웨어 정의, 전동화, 반자율주행차, 커넥티드카 플랫폼, 차세대 통신 시스템이 등장하면서 자동차 산업은 큰 변화를 맞이하고 있습니다. 이러한 변화는 점점 더 복잡해지는 차량 아키텍처를 구축, 관리, 유지보수 및 보호하기 위한 전문 소프트웨어 및 개발 도구에 대한 수요를 증가시키고 있습니다. 하드웨어의 통합이 진행되고 경쟁은 기능 및 서비스 차별화로 전환됨에 따라 소프트웨어 개발은 OEM의 최우선 과제가 되고 있습니다. 소프트웨어 정의 차량(SDV) 시대가 도래함에 따라, 자동차 제조업체와 1차 공급업체 모두 차세대 모빌리티의 요구에 부응하기 위해 소프트웨어 역량을 빠르게 확장하고 개발 인력을 확충하고 있습니다.
자동차 업계는 공격 대상 영역이 제한적이었던 하드웨어 정의 차량에서 무선(OTA) 업데이트에 대응하고 유무선 보안 위험을 모두 안고 있는 소프트웨어 정의 차량(SDV)으로 전환하고 있습니다. 이러한 새로운 취약점에 대응하기 위해 자동차 제조업체와 공급업체 생태계는 안전하고 안전한 차량을 보장하기 위해 OEM의 내부 표준, 정부 규제, 업계 모범 사례를 준수하는 광범위한 사이버 보안 솔루션을 도입하고 있습니다.
이 보고서는 IoT 및 임베디드 OS, 컨테이너, 하이퍼바이저, 자동화된 소프트웨어 보안 테스트(ASST), 모델 기반 시스템 엔지니어링(MBSE) 툴, 요구사항 관리(RM) 툴, 소프트웨어 구성 분석(SCA), 사이버 보안, 엣지 AI, DevSecOps/OTA, 가상 ECU, 자율주행차 검증에 이르는 소프트웨어, 개발, 보안 솔루션을 다룹니다. 엣지 AI, DevSecOps/OTA, 가상 ECU, 자율주행차 검증에 이르는 소프트웨어, 개발, 보안 솔루션을 망라하고 있습니다.
The automotive industry is experiencing a wave of interest, investment, and innovation as vendors advance new platforms and capabilities to enable connected, electrified, increasingly automated, and software-defined vehicles. This report defines and evaluates the market for automotive software, development/deployment tools, and cybersecurity solutions, delivering both quantitative and qualitative insights into the forces driving change. It examines recent industry developments, shifting engineering requirements, and vendor strategies that are reshaping this rapidly evolving landscape.
The automotive industry is undergoing a major transformation as advances in technology drive the rise of software-defined, electrified, semi-autonomous vehicles, connected car platforms, and next-generation communication systems. These changes are fueling demand for specialized software and development tools to build, manage, maintain, and secure increasingly complex vehicle architectures. As hardware consolidates and competition shifts toward differentiation through features and services, software development has become a central priority for OEMs. The era of the software-defined vehicle is now underway, with both automakers and Tier 1 suppliers rapidly expanding their software capabilities and scaling developer talent to meet the needs of next-generation mobility.
The automotive industry is transitioning from hardware-defined vehicles with limited attack surfaces to software-defined vehicles (SDVs) that support over-the-air (OTA) updates and include both wired and wireless security exposure. To address these new vulnerabilities, automakers and their supplier ecosystems are deploying a range of cybersecurity solutions that align with internal OEM standards, government regulations, and industry best practices to ensure safe and secure vehicles.
The report covers software, development and security solutions across IoT & embedded operating systems (OSs), containers, hypervisors, automated software & security testing (ASST), Model-based systems engineering tools (MBSE), requirements management tools (RM), software composition analysis (SCA), cybersecurity, Edge AI, DevSecOps/OTA, virtual ECUs, and autonomous vehicle verification.
Understanding evolving automotive market trends is critical to guiding the development of next-generation software architectures and cybersecurity solutions.As the complexity of SAE Level 3 and Level 4 systems expands within high-dependability environments, the implementation of an integrated and automated software toolchain becomes essential to ensure functional safety, system integrity, and regulatory compliance. Such a toolchain must enable model-based development, high-fidelity simulation, continuous integration and deployment (CI/CD), and comprehensive validation and cybersecurity assurance throughout the vehicle's. To help alleviate this growing complexity, software tool vendors should deliver interoperable platforms and open solutions that integrate with other vendors and tier suppliers across the automotive supply chain, fostering greater collaboration, efficiency, and system-level optimization.
Furthermore, interest in ADAS and AD sensing technologies remains strong, with 31% of respondents highlighting image sensors, 28.6% citing LiDAR sensors, and 23.8% identifying radar sensors as key areas of interest. To enable multi-sensor systems, 21.4% of respondents pointed to sensor fusion ECUs as an important supporting technology. The integration of these sensing modalities, coupled with advanced fusion algorithms, is critical for delivering the high-resolution, real-time environmental perception required for both ADAS and higher-level autonomous driving functions. As vehicles adopt increasingly complex sensor suites, robust hardware security architectures, testing, and verification processes can play a critical role in ensuring seamless system and software interoperability, consistent performance, and the reliability needed to meet safety-critical regulatory demands.
Although Vehicle-to-Everything (V2X) technology has yet to achieve mainstream adoption, surveyed automotive engineers identified Vehicle-to-Infrastructure (V2I) at 26.2% and Vehicle-to-Vehicle (V2V) at 23.8% as key areas of focus [see Exhibit 20]. V2I, V2V, and broader V2X capabilities enhance vehicle safety and situational awareness by enabling data exchange beyond the line of sight and range limitations of onboard sensors.
To address the security implications of this connectivity, cybersecurity vendors must develop protection layers specifically designed to safeguard V2X safety communications. As semi-autonomous and fully autonomous vehicles continue to mature, these vendors should prioritize automotive-specific protection mechanisms that preserve safety-critical operations even during cyberattacks or system malfunctions, unlike traditional IT security measures that may simply isolate or shut down affected systems.
OEMs, aiming to control costs and comply with varying regional regulations, are likely to concentrate on developing fundamental in-house protections while relying on specialized vendors for advanced or system-level defenses. This evolution underscores the need for cybersecurity providers to tailor their offerings to emerging SDV architectures, the unique vulnerabilities these systems introduce while ensuring compliance with diverse regulatory frameworks.
As cybersecurity becomes more deeply integrated into the SDV software lifecycle, collaboration between OEMs, Tier 1 suppliers, and software vendors will be essential to maintain compliance, streamline development, and ensure continuous protection throughout the vehicle's operational lifespan. Effective coordination across the supply chain, supported by standardized frameworks, shared threat intelligence, and interoperable toolchains, will be critical to managing risk and enabling secure innovation at scale.