Artificial Intelligence (AI) in Cybersecurity Market Scope and Overview
The SNS Insider report states that the Artificial intelligence (AI) in the cybersecurity market The size was valued at $21.89 billion in 2023 and is expected to reach $111.27 billion by 2031, growing at a CAGR of 22.4% over the forecast period 2024-2031.
Growing artificial intelligence (AI) technologies, such as natural language processing (NLP) and machine learning (ML), have gained ground to protect, detect and respond to threats. Additionally, the exponential increase in cyberattacks against high-tech companies, defense, and government agencies has highlighted the need for advanced AI in cybersecurity. Cyber AI has become sought after to offer a proactive protection mechanism with detection accuracy.
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Top Key Market Players:
- NVIDIA Company
- Intel Company
- Xilinx
- Samsung Electronics
- Micron technology
- IBM Company
- Amazon Web Services
- Dark trace
- Cylance
- Vectra AI
- Others
Market analysis
SMBs, lacking robust security measures, are prime targets for cyberattackers focusing on data, networks, endpoints and applications. Traditional security systems are falling short against threats like ransomware and malware, requiring a shift to cloud-based cybersecurity solutions for comprehensive protection throughout the development, production and release phases. Implementation. Cloud deployment offers SMEs flexibility, scalability and cost-effectiveness, thereby optimizing business operations. This shift to cloud solutions creates growth opportunities for providers of cloud-based data protection solutions. The adoption of cloud-based security solutions, delivered via Software-as-a-Service (SaaS), meets the growing demand for IT security, particularly as concerns about data security in the cloud increase , further boosting AI in the cybersecurity market.
Market segmentation and sub-segmentation are:
Based on component
- Software
- Service
- Material
Based on deployment
Based on security type
- Internet Security
- Endpoint Security
- Application security
- Cloud Security
Based on technology
- Contextual computing
- Machine learning
- Natural language processing
Based on demand
- Identity and access management
- Risk and compliance management
- Data loss prevention
- Unified threat management
- Security and vulnerability management
- Anti-virus
- Fraud detection
- Intrusion detection and prevention system
- Threat Intelligence
- Others
Based on industry vertical
- Automotive and transportation
- Retail
- BFSI
- Manufacturing
- Government and defense
- Business
- Petroleum gas
- Education
- Others
Growth Drivers of AI in Cybersecurity Market
- Shifting to proactive defense: Traditional cybersecurity approaches often rely on reactive measures, responding to cyber threats after they occur. However, AI-powered cybersecurity solutions enable organizations to adopt a proactive defense posture by anticipating and mitigating threats before they cause damage. This proactive approach is essential to combating the dynamic and evolving nature of cyber threats.
- Growing Regulatory Compliance Requirements: Strict regulatory frameworks, such as GDPR, HIPAA and PCI DSS, impose strict requirements on organizations to protect sensitive data and protect against cyber threats. Failure to comply may result in severe financial penalties and reputational damage. As a result, organizations are investing in AI-powered cybersecurity solutions to ensure compliance with regulatory standards and improve data protection measures.
- Emergence of IoT and connected devices: The proliferation of Internet of Things (IoT) devices and connected systems has expanded the attack surface for cybercriminals, posing new security challenges for organizations. AI-based cybersecurity solutions are essential for securing IoT devices and networks, detecting and mitigating potential threats in real-time, and ensuring the integrity and confidentiality of sensitive data transmitted across interconnected devices.
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Impact of the war between Russia and Ukraine
The war between Russia and Ukraine has reverberated throughout the cybersecurity field, reshaping the strategies of nation states and private sector companies. Rather than being autonomous weapons, cyber operations are now seen as tools of coercion and deception in modern warfare. Russia’s historical cyber activities have been oriented toward long-term competition, blending political warfare, espionage, and disruptive campaigns to influence political outcomes. Cybersecurity companies adopt various strategies tailored to their specialties. Security Operations Center (SOC) teams are on alert, gathering actionable intelligence on Russian activities and responding quickly to heightened alerts. The focus is on strengthening defensive measures to thwart potential violations before they occur.
Impact of the economic slowdown
During economic downturns, the AI in cybersecurity market may face challenges, but it generally maintains its growth. This is due to the increasing complexity of cyber threats and the growing need for advanced security solutions. Factors such as increased use of mobile devices, remote working arrangements and greater awareness of cybersecurity contribute to its resilience. Despite economic uncertainties, AI in the cybersecurity sector continues to grow, albeit perhaps at a slower pace.
Key regional development
North America dominated the market with a revenue share of over 32%, driven by the growing number of network-connected devices, IoT, 5G and Wi-Fi 6 technologies. Sectors such as automotive , healthcare, government, energy and mining have actively expanded their 5G networks, which has also opened up potential vulnerabilities to cyberattacks.
North America is leading the adoption of NLP, ML, and neural networks to strengthen security measures and identify anomalous user behaviors and patterns. Throughout the forecast period, the global artificial intelligence in cybersecurity market is expected to witness rapid growth in the Asia-Pacific region. Emerging economies in the region are mainly focusing on the integration of new technologies.
Key takeaways
- Escalating cyber threats are driving exponential growth in the cybersecurity artificial intelligence (AI) market.
- Machine learning technology dominates the market, providing improved threat detection and response mechanisms.
- The North American region is leading in terms of market share due to technological advancements and increasing adoption of AI-based cybersecurity solutions.
Recent DEVELOPMENTS
In August 2022: reports have surfaced that Thoma Bravo is considering acquiring Darktrace. Microsoft announced the official launch of Microsoft Defender Experts for Hunting in August 2022, a proactive threat hunting tool.
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Table of Contents – Main Key Points
- Introduction
- Research methodology
- Market dynamics
- Drivers
- Constraints
- Opportunities
- Challenges
- Impact analysis
- COVID-19 impact analysis
- Impact of the Ukraine-Russia War
- Impact of the current recession on major economies
- Value chain analysis
- Porter’s 5 Forces Model
- PEST Analysis
- Artificial Intelligence (AI) in Cybersecurity Market, By Component
- Introduction
- Trend analysis
- Software
- Service
- Material
- Artificial Intelligence (AI) in Cybersecurity Market, by Deployment
- Introduction
- Trend analysis
- On the site
- Cloud
- Artificial intelligence (AI) in cybersecurity market, by security type
- Introduction
- Trend analysis
- Internet Security
- Endpoint Security
- Application security
- Cloud Security
- Artificial Intelligence (AI) in Cybersecurity Market, By Technology
- Introduction
- Trend analysis
- Contextual computing
- Machine learning
- Natural language processing
- Artificial Intelligence (AI) in Cybersecurity Market, By Application
- Introduction
- Trend analysis
- Identity and access management
- Risk and compliance management
- Data loss prevention
- Unified threat management
- Security and vulnerability management
- Anti-virus
- Fraud detection
- Intrusion detection and prevention system
- Threat Intelligence
- Others
- Artificial Intelligence (AI) in Cybersecurity Market, by Vertical
- Introduction
- Trend analysis
- Automotive and transportation
- Retail
- BFSI
- Manufacturing
- Government and defense
- Business
- Petroleum gas
- Education
- Others
- Regional analysis
- Introduction
- North America
- Europe
- Asia Pacific
- The Middle East and Africa
- Latin America
- Company Profile
- Competitive landscape
- Competitive Benchmarking
- Market share analysis
- Recent DEVELOPMENTS
- Use cases and best practices
- Conclusion
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