Westford, Massachusetts, July 12, 2024 China, June 23, 2020 /PRNewswire/ — According to SkyQuest, the global artificial intelligence (AI) in cybersecurity market is US$18.36 billion In 2022 US$22.49 billion In 2023 US$114.3 billion It is expected to grow at a CAGR of 22.53% during the forecast period (2024-2031), reaching 22.53% by 2031.
With the rapidly evolving threat landscape, artificial intelligence techniques are being used in cybersecurity to improve the security of digital networks and solutions. The increasing incidence of cyber attacks and the need for automation in cybersecurity are driving the use of AI in cybersecurity. The global Artificial Intelligence (AI) in Cybersecurity market is segmented into offering, security type, technology, application, vertical, and region.
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An overview of Artificial Intelligence (AI) in Cybersecurity Market:
Report Scope |
detail |
Market Revenue in 2023 |
$22.49 billion |
Estimated value through 2031 |
$114.3 billion |
Growth rate |
Expected to grow at an average annual rate of 22.53% |
Forecast Period |
2024-2031 |
Forecast Unit |
Value (billion USD) |
Report Scope |
Revenue Forecast, Competitive Landscape, Growth Factors, Trends |
Target Segments |
Security types, technologies, applications, verticals |
Target area |
North America, Europe, Asia Pacific, Middle East & Africa, Latin America |
Report highlights |
Focus on improving identity and access management to enable better AI in cybersecurity solutions |
Key Market Opportunities |
Uses machine learning to identify potential threat patterns |
Key Market Drivers |
Adoption of new AI-based cybersecurity solutions by companies will drive market development |
Target Segments Artificial Intelligence (AI) in Cybersecurity Market:
- Security Type
- Infrastructure security (network security, endpoint security, cloud security, etc.), data security, application security, etc.
- technology
- Machine Learning (ML), Natural Language Processing (NLP), Context-Aware Computing
- application
- Identity and access management, risk and compliance management, data loss prevention, unified threat management, fraud detection, etc.
- vertical
- BFSI, IT & Telecom, Government & Defence, Manufacturing, Others
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Leading the way in global artificial intelligence (AI) in cybersecurity market growth
Artificial intelligence is an advanced technology and organizations need help to implement it in cybersecurity applications. Services of all kinds, from consulting to integration, will be crucial in the global growth of artificial intelligence (AI) in cybersecurity market in the coming years. Not all companies have the resources to implement AI in cybersecurity on their own, hence the services subsegment holds sway in the global market.
Rapid advancements in AI technology are driving the need for new software solutions and their updates, thus fueling the software subsegment's market growth. The use of advanced machine learning algorithms and integration of other advanced technologies are also helping expand artificial intelligence (AI) in the business scope of cybersecurity companies through this subsegment. Increasing regulatory environment and complexity of cyber attacks constantly drive the demand for new software solutions.
AI in the Cybersecurity Market is Machine Learning
Machine learning algorithms, when used in cybersecurity, go beyond expectations as they help identify patterns, analyze vast amounts of data, and provide better security suggestions. Deploying predictive threat detection using machine learning allows for preventive threat protection actions, giving Artificial Intelligence (AI) an advantage in the growth of the cybersecurity market. Machine learning is becoming an essential component of all AI-based cybersecurity solutions and systems.
Text-based attacks are on the rise and becoming more frequent across the globe, which is why the need for Natural Language Processing (NLP) technology is growing rapidly. Using NLP in AI-Based Cybersecurity Solutions The widespread adoption of NLP technology can improve communication and simplify AI-based security.
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Identity and Access Management Remains the Primary Barrier in AI-Based Cybersecurity Defense
The use of artificial intelligence in identity and access management is predicted to take cybersecurity to a new level. The use of AI in identity and access management functions in cybersecurity can easily enable the use of multi-factor authentication and single sign-on features. The increasing complexity of the regulatory environment to reduce the occurrence of cyber attacks is driving the demand for AI-based risk and compliance management solutions. In the information age, data is currency and protecting this data is of utmost importance for every organization. Data loss prevention applications are also slated to provide attractive opportunities for artificial intelligence (AI) in cybersecurity companies in the long run.
The artificial intelligence (AI) in cybersecurity market is a highly sensitive and regulated industry, so players need to be careful when investing in any segment of this market. Targeting the use of machine learning and natural language processing algorithms in this market can be highly profitable for new and existing artificial intelligence (AI) in cybersecurity companies in the near future.
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