Report ID: SQMIG45F2068
Report ID: SQMIG45F2068
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Report ID:
SQMIG45F2068 |
Region:
Global |
Published Date: December, 2025
Pages:
265
|Tables:
126
|Figures:
86
Global Artificial Intelligence (AI) in Cybersecurity Market size was valued at USD 29.05 Billion in 2024 and is poised to grow from USD 35.91 Billion in 2025 to USD 195.57 Billion by 2033, growing at a CAGR of 23.6% during the forecast period (2026–2033).
The rise of Artificial Intelligence (AI) technologies, such as natural language processing (NLP) and machine learning (ML) has gained the ability to protect against, detect and respond to threats. Also, there is a significant increase in cyberattacks in technologies that high-level, security and government agencies explore advanced AI in cybersecurity. Computer AI was asked to provide accurate identification of dynamic security systems.
For example, AI has seen strong requirements to relentlessly verify user authentication in behavioral biometrics. Industry stakeholders are expected to prioritize ML algorithms to leverage the potential of AI to enhance security intelligence. Growing privacy concerns the importance of AI-based cyber security solutions in the banking industry, and the frequency and complexity of cyber threats are factors driving market growth high. The market is expected to expand in response to the growing demand for security solutions.
US AI In Cybersecurity Market is poised to grow at a sustainable CAGR for the next forecast year.
Market snapshot - 2026-2033
Global Market Size
USD 23.5 billion
Largest Segment
Services
Fastest Growth
Software
Growth Rate
23.6% CAGR
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Global Artificial Intelligence (AI) in Cybersecurity Market is segmented by Type, Offering, Technology, Vertical, Application and region. Based on Type, the market is segmented into Network Security, Endpoint Security, Application Security and Cloud Security. Based on Offering, the market is segmented into Hardware, Software and Services. Based on Technology, the market is segmented into machine learning, Natural Language Processing (NLP) and Context-aware Computing. Based on Vertical, the market is segmented into BFSI, Retail, Government & Defense, Manufacturing, Enterprise, Healthcare, Automotive & Transportation and Others. Based on Application, the market is segmented into Identity And Access Management, Risk And Compliance Management, Data Loss Prevention, Unified Threat Management, Fraud Detection/Anti-Fraud, Threat Intelligence and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Among the three segments, services are the largest segment in the artificial intelligence (AI) in cybersecurity market because users need professional assistance and knowledge to implement artificial intelligence into their organizations. Some of these are consulting, system integration and even managed security services.
On the other hand, the software segment at present holds the fastest growth rate due to the constant advancements in AI and machine learning algorithms. Such advancements are improving the abilities of cybersecurity software to identify and combat threats on a real-time basis and thus causing the demand across various sectors to rise. The evolution of cyber threats, the increase in their number and complexity, drives the necessity of utilizing AI technologies in software solutions.
In artificial intelligence (AI) in cybersecurity market, machine learning emerges as the dominating technology. It owes this to the fact that it can analyze lots of information to look and predict possible dangers, two critical aspects in cybersecurity. This is because Machine Learning can learn when it comes to data inputs, thus can be used to identify and prevent threats before they occur. This technology works best in its capacity to improve the algorithms that help detect and prevent cyber threats in the system. Machine Learning is a critical component of cybersecurity today and in the future, and it can provide organizations with the necessary tools to combat today's threats.
However, the natural language processing (NLP) segment is the leader in this field. Such advanced forms of cyber threats that relate to language and communication mediums have created a need for NLP, because of the improved ability to identify and prevent text-based attacks, thus making it an important tool in the contemporary cybersecurity domain.
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North America has the largest market share of artificial intelligence (AI) in cybersecurity market due to its position as the world's leading technology and cybersecurity company. Some big companies in the region include NVIDIA Corporation, Intel Corporation, IBM Corporation, Microsoft Corporation, among others, which promote innovation and boost the market. It should be mentioned that North American companies and organizations tend to be technology leaders, including the use of artificial intelligence for cybersecurity. This forward-thinking approach contributes to the expansion of the market and raises the bar for AI solutions, making the region a key player in the global cybersecurity landscape.
Asia Pacific is expected to grow fastest during the forecast period. The reason for the same is increasing acquisition of AI In Cybersecurity technology in bigger organizations in the region of Asia Pacific and mainly in China and Japan. Penetration of Data threats & cyberattacks in Asia Pacific has doubled in the last few years. In addition, bigger organizations and startups are investing heavily to provide high data security services at an affordable price to the consumers, which is likely to boost the demand for AI in cybersecurity in the region.
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Increasing Sophistication of Cyber Attacks
Increased Use of IoT and Connected Devices
Increased Implementation Costs
Data Privacy and Ethical Issues
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Competition in the AI In Cybersecurity market is expected to increase during the forecast period because new players are expected to enter the global market and the number of software and services compatible with AI In Cybersecurity will also increase. Currently, only a few key players are providing their services in the global market, but these numbers will increase in the upcoming years.
SkyQuest's ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Co-relates and Analyses the Data collected by means of Primary Exploratory Research backed by the robust Secondary Desk research.
According to skyquest analysis, the global market is estimated to have significant growth during the forecast period because of the benefits it consists of such as automation, large data analyzation and high security. AI In CyberSecurity will enable software and services to be more convenient for their users. The market has so much potential for new players also because of the high expected rate of growth and demand.
| Report Metric | Details |
|---|---|
| Market size value in Cybersecurity | USD 29.05 Billion |
| Market size value in 2033 | USD 195.57 Billion |
| Growth Rate | 23.6% |
| Base year | 2024 |
| Forecast period | 2026-2033 |
| Forecast Unit (Value) | USD Billion |
| Segments covered |
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| Regions covered | North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA) |
| Companies covered |
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| Customization scope | Free report customization with purchase. Customization includes:-
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Table Of Content
Executive Summary
Market overview
Parent Market Analysis
Market overview
Market size
KEY MARKET INSIGHTS
COVID IMPACT
MARKET DYNAMICS & OUTLOOK
Market Size by Region
KEY COMPANY PROFILES
Methodology
For the Artificial Intelligence (AI) in Cybersecurity Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:
1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.
2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the Artificial Intelligence (AI) in Cybersecurity Market.
3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.
4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.
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Competitive Analysis: Detailed analysis and profiling of additional Market players & comparative analysis of competitive products.
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