PUBLISHER: AnalystView Market Insights | PRODUCT CODE: 1364690
PUBLISHER: AnalystView Market Insights | PRODUCT CODE: 1364690
Confidential Computing in Autonomous Vehicles Market size was valued at USD 980.7 Million in 2022, expanding at a CAGR of 48.7% from 2023 to 2030.
Confidential computing provides enormous promise in one of the most appealing application domains autonomous vehicles (AVs). Because autonomous vehicles generate, process, and send massive volumes of data in real-time, they are perfect targets for cyber-attacks. Autonomous vehicles make real-time choices based on data from numerous sensors. Confidential computing can protect this data from tampering or snooping while it is being processed, ensuring that the vehicle's judgments are based on pristine information.
Growing Cybersecurity Threats in the automobile industry is expected to propel market demand.
As automobiles grow increasingly networked and self-driving, they become more appealing targets for hacks. Within the automobile industry, there is a growing recognition that traditional security measures may be insufficient, encouraging a shift toward more advanced solutions such as secret computing. With the rise of connected cars, which rely on internet connectivity for many tasks, cyber-attacks have a larger surface area. As the automotive industry continues to change and grow, so does cybercrime.
In fact, cyberattacks are becoming even more refined to match the evolution of the industry. For starters, nearly all attacks (97%) are being conducted remotely, and 70% of remote attacks are perpetrated at long range, that is not near the vehicle, that rely on network connectivity, according to Automotive cybersecurity report. With the surge of companies investing in AV technology, from behemoths like Tesla and Google's Waymo to a slew of startups, there's a developing demand for secure computational environments. Confidential computing meets this need. However, Integrating secure computing into an autonomous vehicle's complex network of sensors, semiconductors, and operating systems can be challenging. It hampers the market growth.
The Global Confidential Computing in Autonomous Vehicles Market is segmented on the basis of Vehicle Type, Component, Application, and Region.
The market is divided into three categories based on vehicle type: Passenger Vehicles, Commercial Vehicles, and Others. Passenger Vehicles dominate the market. Due to the inherent need for data privacy, security, and trustworthiness, confidential computing has developed as a critical component in the autonomous vehicle sector, particularly in the passenger vehicle segment.
The market is divided into two categories based on Components: Hardware, Software, and Service. Hardware dominates the market and is likely to maintain its dominance during the forecast period. The purpose of confidential computing in the autonomous car business is to protect data while processing and utilizing hardware-based solutions. Hardware solutions, such as secure enclaves and trusted execution environments (TEEs), are at the heart of this strategy, guaranteeing that critical data remains protected even during execution.
The market is divided into two categories based on application: Data Security, Secure enclaves, Attestation Solutions, and Others. Attestation Solutions dominates the market. Attestation helps self-driving cars to ensure that their software and hardware are running the latest, unmodified versions. This prevents harmful or outdated software from interfering with the vehicle's functionality.
Geographically, this market is widespread into the regions of North America, Latin America, Europe, Asia Pacific, and the Middle East and Africa. These regions are further divided as per the nations bringing business. North America is expected to dominate the growth of Confidential Computing in the Autonomous Vehicles Market, due to growing Artificial intelligence and machine learning in automotive cybersecurity. North American corporations have been innovators in incorporating AI and machine learning into a variety of industries, including automotive. AI-powered vehicle cybersecurity solutions are a natural growth of this trend. Over 50% Of Large Enterprises Will Use AI by 2024, according to international data corporation. Asia pacific is second largest market for Confidential Computing in Autonomous Vehicles.
Companies are racing to ensure that, as autonomous vehicles grow more common, the data they handle stays confidential, secure, and tamper-proof. This commitment to secure data privacy, along with the high stakes of vehicular safety, makes this a hotbed for competitiveness and innovation. With growing awareness of cyber risks and the importance of data privacy, automakers, technology giants, and startups are competing to create the finest confidential computing solutions for autonomous vehicles. The competition includes hardware solutions, software solutions, and integrated platforms designed specifically for the demands of autonomous vehicles. For Example, On March 22, 2022, Powering the next generation of trustworthy AI in a confidential cloud using NVIDIA GPUs.
In August 2019, Major tech companies including Alibaba, Arm, Baidu, IBM, Intel, Google Cloud, Microsoft, and Red Hat nowadays announced intent to form the Confidential Computing Consortium to improve security for data in use. Established by the Linux Foundation, the organization plans to bring together hardware vendors, developers, open source experts, and others to promote the use of confidential computing, advance common open source standards, and better protect data.
The scope of this report covers the market by its major segments, which include as follows: