PUBLISHER: SkyQuest | PRODUCT CODE: 1321864
PUBLISHER: SkyQuest | PRODUCT CODE: 1321864
Global AI In Cybersecurity Market size was valued at USD 13.29 billion in 2021 and is poised to grow from USD 16.52 billion in 2022 to USD 94.14 billion by 2030, growing at a CAGR of 24.3% in the forecast period (2023-2030).
The use of AI in cybersecurity is gaining popularity due to its numerous advantages. AI technology is capable of identifying unknown threats and handling large amounts of data, making it a valuable asset in the battle against cyber threats. It contributes to better overall security, reduces duplicate processes, and aids in vulnerability management. In the current online era, businesses face a multitude of online threats, making AI an ideal cybersecurity solution for those aiming to thrive in the digital landscape. Traditional human-based methods may fall short in identifying and preventing unknown threats with zero error tolerance. AI, on the other hand, excels in mapping and stopping these elusive threats, safeguarding companies from potential cyberattacks. AI is particularly effective in detecting and analyzing the vast amount of data exchanged within and outside of businesses. By utilizing AI technology, companies can efficiently identify potential security breaches and respond promptly.
Vulnerability management is a critical aspect of ensuring data security. AI can assist in this area by conducting research, analyzing existing security measures, and assessing vulnerabilities. This enables companies to proactively detect threats and enhance their security measures. However, integrating AI with cybersecurity requires significant resources and financial investments for companies and organizations. Acquiring the necessary data sets for training AI systems can be time-consuming and costly, which may pose challenges for some organizations in terms of affordability and implementation.
Segments covered in this report:
The Global AI In Cybersecurity market is segmented on the basis of application, vertical, Technology, Offerings, types and region. By application, the market is segmented into DLP, UTM, IAM, Antivirus, IDP and others. By vertical, the market is segmented into Retail, Government, BFSI, IT, Healthcare and others. By type the market is segmented into Cloud Security, Network Security, Endpoint Security, Application Security. By offering the market is segmented into hardware, software and services. By technology the market is segmented into ML, NLP,Context-aware computing. By region, the market is segmented into North America, Europe, Asia Pacific, Middle East and Africa, and Latin America.
Driver
The escalating data threats in today's digital landscape have surged the demand for AI in the cybersecurity market. AI serves as a crucial tool for technological and data-driven companies to safeguard themselves against emerging cyber attacks and data breaches. Cybercriminals relentlessly target the endpoints, networks, and IT infrastructure of organizations, leading to significant financial losses for individuals, enterprises, and governments. These cyber threats pose serious damage to sensitive organizational data and critical IT infrastructure. The proliferation of online payments and the rapid growth of digital transactions globally have contributed to the increased frequency of cybercrimes. To combat these evolving threats, the cybersecurity market is leveraging technological advancements and embracing AI solutions. AI plays a pivotal role in fortifying cybersecurity measures by analyzing vast amounts of data, detecting patterns, and identifying potential threats in real-time.
Restraint
Artificial intelligence encompasses a range of algorithms, such as machine learning, genetic algorithms, deep learning, and neural networks. These algorithms heavily rely on historical data and features, making any unknown computer system susceptible to zero-day vulnerabilities. Zero-day threats primarily involve advanced persistent threats, wherein unauthorized individuals gain network access and remain undetected for extended periods.
Market Trends
By incorporating intelligent automation into security system AI, the need for manual labor can be significantly diminished in achieving desired objectives. This integration facilitates the automation of identity and access management security measures, which have become increasingly crucial in light of the growing implementation of the zero trust security framework. This framework mandates authentication, authorization, and continuous validation for every network user. Embracing this trend of automation empowers organizations to assign risk scores to potentially suspicious events, rather than abruptly terminating user connections during active sessions.