AI in Cybersecurity Market Share, Size, Trends, Industry Analysis Report, By Type (Network Security, Cloud Security, Endpoint Security, Application Security), By Offering, By Technology, By Application, By Vertical, By Region, And Segment Forecasts, 2024

AI in Cybersecurity Market Share, Size, Trends, Industry Analysis Report, By Type (Network Security, Cloud Security, Endpoint Security, Application Security), By Offering, By Technology, By Application, By Vertical, By Region, And Segment Forecasts, 2024 - 2032

The global AI in cybersecurity market size is expected to reach USD 141.64 billion by 2032, according to a new study by Polaris Market Research. The report “AI in Cybersecurity Market Share, Size, Trends, Industry Analysis Report, By Type (Network Security, Cloud Security, Endpoint Security, Application Security), By Offering, By Technology, By Application, By Vertical, By Region, And Segment Forecasts, 2024 - 2032” gives a detailed insight into current market dynamics and provides analysis on future market growth.

AI in cybersecurity plays a crucial role in enhancing the speed of response to breaches and boosting the efficiency of cyber analysts. ML algorithms can analyse huge amount of data in real-time, identify patterns, & to detect anomalies that indicate security threats. This capability enables a faster and more proactive response to cyber threats, reducing the time it takes to identify and mitigate potential risks.

Additionally, the integration of AI in cybersecurity solutions enables automation, allowing repetitive tasks to be handled more efficiently. This, in turn, frees up cybersecurity professionals to focus on more complex and strategic aspects of threat detection and response. The combination of AI, cloud technologies, and machine learning contributes to building robust cybersecurity frameworks capable of addressing the evolving and sophisticated nature of cyber threats in the digital landscape.

AI is particularly sought after for securing both cloud services and on-premises architecture, with a specific emphasis on identifying abnormal user behavior. Natural language processing continues to be a valuable proposition, contributing to the wider adoption of AI technologies in the cybersecurity domain. The increasing trend toward natural language inference, sentiment analysis, and text summarization is expected to benefit major companies aiming to strengthen their market share in the cybersecurity sector.

NLP has gained significant traction, particularly in the realms of fake news detection, clickbait detection, and rumor detection. Major companies are likely to heavily rely on NLP to identify malicious language and domain names commonly associated with phishing scams. Stakeholders anticipate a surge in investments, driven by the widespread use of connected devices, the Internet of Things (IoT), and the deployment of 5G technology. The potential threat of Distributed Denial-of-Service (DDoS) attacks, coupled with the increasing prominence of IoT-enabled activities, has prompted major players to invest in cutting-edge technologies as a proactive measure against cyber incidents.

Furthermore, there is a significant focus on innovation in threat detection services, acting as a driving force for market growth. As cybersecurity threats evolve in sophistication and scale, continuous innovation in threat detection becomes crucial for staying ahead of potential risks. The combination of advanced technologies, such as NLP, and a proactive investment approach is aimed at bolstering cybersecurity measures and addressing the dynamic challenges posed by cyber threats in the modern digital landscape.

AI in Cybersecurity Market Report Highlights

• Cloud security segment held the largest share, owing to rise in prominence of AI & ML in several industry verticals
• BFSI segment expected to grow at the fastest, primarily due to recent surge in cyber financial frauds, & banking irregularities
• North America accounted for the largest share, due rise in investments in machine learning, and AI based forensic tools
• The key market players include Acalvio Technologies, Amazon Web Services, Cylance, Darktrace, FireEye, Fortinet, LexisNexis, & Micron Technology.

Polaris Market Research has segmented the AI in cybersecurity market report based on type, offering, technology, application, vertical, and region:

AI in Cybersecurity, Type Outlook (Revenue - USD Billion, 2019 - 2032)

• Network Security
• Endpoint Security
• Application Security
• Cloud Security

AI in Cybersecurity, Offering Outlook (Revenue - USD Billion, 2019 - 2032)

• Hardware
• Software
• Services

AI in Cybersecurity, Technology Outlook (Revenue - USD Billion, 2019 - 2032)

• Machine Learning (ML)
• Natural Language Processing (NLP)
• Context-aware Computing

AI in Cybersecurity, Application Outlook (Revenue - USD Billion, 2019 - 2032)

• Identity & Access Management
• Risk & Compliance Management
• Data Loss Prevention
• Unified Threat Management
• Fraud Detection/Anti-Fraud
• Threat Intelligence
• Others

AI in Cybersecurity, Vertical Outlook (Revenue - USD Billion, 2019 - 2032)

• BFSI
• Retail
• Government & Defense
• Manufacturing
• Enterprise
• Healthcare
• Automotive & Transportation
• Others

AI in Cybersecurity, Regional Outlook (Revenue - USD Billion, 2019 - 2032)

• North America

- U.S.

- Canada

• Europe

- Germany

- UK

- France

- Italy

- Spain

- Russia

- Netherlands

• Asia Pacific

- China

- India

- Japan

- South Korea

- Indonesia

- Malaysia

• Latin America

- Argentina

- Brazil

- Mexico

• Middle East & Africa

- UAE

- Saudi Arabia

- Israel

- South Africa