Artificial Intelligence in Security Market (2019-2027)

Nowadays, raising and progressing cybersecurity threats faced by global businesses can be reduced by the integration of artificial intelligence into cybersecurity systems. Artificial Intelligence (AI) and machine learning are being connected more extensively crosswise over industries and applications in recent times. This has led to vast progression in computing power, storage capacities, and data collection. Such information & data of tremendous caliber can't be dealt by people progressively. With AI and machine learning, the peak of data could be carved down in a fraction of time, which helps the enterprise to identify and recover from the security threat. Moreover, increased use of social media for business functions and growth in the adoption of cloud-based applications & services offer significant growth opportunities for market players operating in artificial intelligence in security market.

Internet of Things (IoT), growing cyber-attacks, shortage of cybersecurity professionals, increasing cyber terrorism are the key factors driving the growth of this market. Growing adoption of Wi-Fi networks which are highly vulnerable to security threats, strict directives for information privacy, and rising variety of mobile malware attacks are also contributing towards the proliferation of AI in security. However, rapidly increasing corporate executive cyber threats, limited security budgets of companies, and inability of AI to stop zero-day and advanced threats are expected to hinder the growth of this market to some extent. On the other hand, lack of cybersecurity and AI professionals is one of the key challenges of this market.

The global artificial intelligence in security market is segmented by offering (hardware, software, services), security type (endpoint security, network security, application security, cloud security), technology (machine learning, natural language processing, context awareness computing), solutions (identity and access management, risk and compliance management, encryption, data loss prevention, unified threat management, antivirus/antimalware, intrusion detection/prevention system, others), end-user (enterprise, bfsi, government & defense, retail, healthcare, manufacturing, automotive & transportation, infrastructure, others), and geography.

Based on security type, endpoint security accounted for the largest share of the global artificial intelligence in security market. The large share of this segment is mainly attributed to the rapidly increasing number of connected devices worldwide.

Based on technology, machine learning segment is expected to witness rapid growth during the forecast period, owing to its ability to collect and handle big data and quickly scan, parse, and react to anomalies.