PUBLISHER: KBV Research | PRODUCT CODE: 1616457
PUBLISHER: KBV Research | PRODUCT CODE: 1616457
The Global Cybersecurity for Autonomous Vehicles Market size is expected to reach $1.67 billion by 2031, rising at a market growth of 22.7% CAGR during the forecast period.
ADAS (Advanced Driver-Assistance Systems) and safety features, including automated driving capabilities, require high levels of cybersecurity to ensure safe vehicle operation. These systems rely on real-time data processing and communication between sensors, cameras, and the vehicle's control units, which makes them a prime target for cyber threats. Ensuring the security of these systems is critical to prevent accidents and ensure the vehicle operates as intended. The ADAS & safety segment recorded 27% revenue share in the cybersecurity for autonomous vehicles market in 2023.
The major strategies followed by the market participants are Product Launches as the key developmental strategy to keep pace with the changing demands of end users. For instance, In November, 2024, NXP Semiconductors N.V. unveiled i.MX 94 applications processor family, part of the i.MX 9 series, delivers performance, power efficiency, and real-time control for automotive connectivity. Key features include an Ethernet TSN switch for low-latency data handling, integrated wireless management, post-quantum cryptography, and enhanced functional safety, meeting stringent automotive standards. Additionally, In April, 2024, DENSO CORPORATION released MobiQ, an aftermarket smart mobility, and vehicle-to-everything (V2X) solution. MobiQ enhances safety, efficiency, and traffic flow by upgrading existing vehicles and infrastructure with V2X technology.
Based on the Analysis presented in the KBV Cardinal matrix; Harman International Industries, Inc. and Cisco Systems, Inc. are the forerunners in the Cybersecurity for Autonomous Vehicles Market Companies such as Infineon Technologies AG, Qualcomm Incorporated, Aptiv PLC are some of the key innovators in Cybersecurity for Autonomous Vehicles Market. In October, 2024, Qualcomm Incorporated unveiled Snapdragon Cockpit Elite and Ride Elite SOCs, featuring the new Oryon CPU, delivering flagship performance for advanced digital cockpits and automated driving. The platforms offer a unified, flexible architecture for seamless integration, leveraging AI capabilities. Automakers like Li Auto and Mercedes-Benz are adopting these future-proofed Snapdragon Digital Chassis
Market Growth Factors
The increasing sophistication of cyber-attacks has made cybersecurity a critical concern for all sectors, particularly for autonomous vehicles (AVs). As autonomous vehicles rely on a vast network of sensors, software, and communication systems, they become attractive targets for hackers seeking to exploit vulnerabilities. These vehicles are interconnected with cloud platforms, other vehicles, and infrastructure, creating more entry points for potential cyber threats.
Additionally, the growth of shared autonomous vehicle fleets-such as those used in ride-hailing services or public transportation-can significantly expand the attack surface for cyber threats. The interconnected nature of these fleets means that a single breach could have widespread consequences. The increase in AV adoption and the expansion of these services will create an even greater demand for innovative cybersecurity solutions to ensure safe and secure operations. In conclusion, the increasing adoption of autonomous vehicles worldwide drives the market's growth.
Market Restraining Factors
One of the major restraints to cybersecurity in autonomous vehicles market is the high cost associated with implementing robust cybersecurity solutions. Developing and integrating cybersecurity measures into autonomous vehicle systems requires significant research, development, and testing investments. Automotive manufacturers must ensure that these security solutions are comprehensive and adaptable to emerging threats, which can be resource intensive. In conclusion, the high costs of implementing cybersecurity solutions hinder market growth.
Form Outlook
Based on form, the market is divided into in-vehicle cybersecurity and external cloud cybersecurity. The external cloud cybersecurity segment held 34% revenue share in the market in 2023. External cloud cybersecurity protects data transmission between autonomous vehicles and cloud-based systems.
Application Outlook
On the basis of application, the market is segmented into ADAS & safety, communication systems, telematics, infotainment, body control & comfort, powertrain systems, and others. In 2023, the communication systems segment attained 24% revenue share in the market. Communication systems, which include vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) technologies, are essential for autonomous vehicles to interact with each other and their environment.
Security Type Outlook
Based on security type, the market is categorized into network, application, and endpoint security. In 2023, the network security segment registered 42% revenue share in the market. Network security is critical in protecting communication systems and data exchanges between autonomous vehicles, external infrastructure, and cloud systems.
Type Outlook
By type, the market is divided into passenger and commercial. The commercial segment procured 43% revenue share in the market in 2023. The commercial segment includes autonomous vehicles used for business purposes, such as delivery trucks, logistics fleets, and autonomous transportation systems for goods and services.
Regional Outlook
Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. In 2023, the Asia Pacific region generated 26% revenue share in the market. Asia Pacific is experiencing rapid growth in the autonomous vehicle sector, with countries like China, Japan, and South Korea making substantial investments in developing and adopting autonomous driving technologies.
Recent Strategies Deployed in the Market
List of Key Companies Profiled
Global Cybersecurity for Autonomous Vehicles Market Report Segmentation
By Form
By Application
By Security Type
By Type
By Geography