The market for automotive intrusion detection and prevention systems (IDPS) is projected to grow significantly, increasing from USD 1.53 billion in 2026 to around USD 7.82 billion by 2036. This growth represents a compound annual growth rate (CAGR) of 17.9% during the forecast period. IDPS are essential cybersecurity solutions aimed at protecting connected, electric, and autonomous vehicles.
These systems monitor vehicle networks for malicious activities and enable real-time threat response to maintain operational integrity. AI-based anomaly detection is expected to lead the market by 2026, utilizing machine learning to spot deviations indicative of cyber threats. Techniques like supervised learning and recurrent neural networks enhance the system's ability to adapt to specific vehicle operations.
Automotive Ethernet is anticipated to see considerable growth due to its ability to support detailed traffic inspection, crucial for identifying sophisticated cyber attacks. The effectiveness of monitoring these networks is vital as vehicles increasingly depend on Ethernet backbones. Furthermore, automated response strategies, such as isolating compromised electronic control units, are essential for managing cyber threats swiftly and efficiently.