IoT Security Market Size, Share & Trends Analysis growing at a CAGR of 26% from 2025 to 2030
The global iot security market size was estimated at USD 35,494.0 million in 2024 and is projected to reach USD 141,766.7 million by 2030, growing at a CAGR of 26% from 2025 to 2030. This is owing to the increasing incidence of cyber-attacks such as ransomware, DDoS attacks, and data breaches.
Key Market Trends & Insights
- In terms of region, North America was the largest revenue generating market in 2024.
- In terms of segment, network security accounted for a revenue of USD 35,494.0 million in 2024.
- Network Security is the most lucrative security type segment registering the fastest growth during the forecast period.
Market Size & Forecast
- 2024 Market Size: USD 35,494.0 Million
- 2030 Projected Market Size: 141,766.7 Million
- CAGR (2024-2030): 26%
- North America: Largest market in 2024
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IoT devices have increasingly proliferated across various sectors, including healthcare and manufacturing, resulting in the potential attack surface for cybercriminals to expand significantly. This has heightened the need for robust security measures to protect sensitive data and ensure the integrity of connected systems.
Moreover, the growing adoption of IoT devices in consumer and industrial applications has propelled the market considerably. The convenience and efficiency offered by IoT technology have led to its widespread adoption. For instance, devices such as smart home systems, industrial sensors, and connected vehicles require sophisticated security solutions to prevent unauthorized access and data manipulation.
In addition, governments worldwide have recognized the importance of securing IoT infrastructure and have implemented stringent regulations to ensure compliance. These regulations often mandate the adoption of specific security standards and practices, thereby boosting the demand for IoT security solutions.
Furthermore, the advancement of technologies such as Artificial Intelligence (AI) and Machine Learning (ML) have been increasingly integrated into IoT security solutions to enhance their effectiveness. AI and ML can analyze vast data sets in real-time and identify potential threats and vulnerabilities more efficiently than traditional methods. This proactive approach to security is essential in mitigating risks associated with IoT devices.
