USD 16.5 Billion
Report ID:
SQMIG45A2640 |
Region:
Global |
Published Date: July, 2025
Pages:
171
|Tables:
154
|Figures:
78
Global Artificial Intelligence in Security Market size was valued at USD 16.5 Billion in 2023 and is poised to grow from USD 20.56 Billion in 2024 to USD 119.44 Billion by 2032, growing at a CAGR of 24.60% during the forecast period (2025-2032).
Growing incidence of cyberattacks and high spending on improvement of cybersecurity around the world are projected to primarily promote the demand for artificial intelligence in security going forward. Increasing sophistication in cyberattacks and growing adoption of advanced digital technologies are also slated to create new opportunities in the future. Imposition of stringent data privacy and security mandates and emphasis on improving compliance for the same are anticipated to promote the adoption of artificial intelligence in security in the long run. Advancements in machine learning and artificial intelligence algorithms and technologies also play a vital role in global artificial intelligence in security market growth over the coming years.
On the contrary, complexity in integration, high costs of implementation, dearth of skilled professionals, and ethical concerns are slated to impede artificial intelligence in security market penetration across the study period and beyond.
How is AI-Driven Security Orchestration and Automation Creating New Business Scope?
Security teams face alert overload and resource constraints, prompting a shift toward AI-driven automation through SOAR (Security Orchestration, Automation, and Response) platforms. These systems use AI to analyze alerts, prioritize threats, and execute response playbooks automatically. Machine learning enables continuous tuning of rules and adaptive threat responses. This reduces response time, minimizes human error, and improves incident containment. Organizations can automate repetitive tasks like log correlation, user authentication, and endpoint isolation. As attack sophistication grows, AI-based orchestration becomes essential for fast, scalable defense. This trend is revolutionizing security operations centers (SOCs), transforming them into proactive, self-healing environments.
Market snapshot - (2025-2032)
Global Market Size
USD 16.5 Billion
Largest Segment
Machine Learning (ML)
Fastest Growth
Natural Language Processing (NLP)
Growth Rate
24.60% CAGR
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Global artificial intelligence in the security market is segmented by type, offering, technology, application, vertical, 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 (ML), natural language processing (NLP), and context-aware computing. 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 vertical, the market is segmented into BFSI, retail, government & defense, manufacturing, enterprise, healthcare, automotive & transportation, and others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa.
Which Technology is Slated to be Used Extensively in Security Solutions?
Machine learning is projected to account for a substantial chunk of global artificial intelligence in security market share. Machine learning technology is essential in training AI models to identify threats and vulnerabilities in security systems. Leveraging machine learning to enhance threat detection, analyze large datasets, identify suspicious patterns, and automate multiple cybersecurity operations allows this segment to hold sway over others going forward.
The natural language processing (NLP) technology segment is projected to emerge as the fastest-growing segment as per this artificial intelligence in securitry industry analysis. Growing emphasis on sentient analysis, natural language inference, text summarization, and question-answering systems is projected to help this segment generate new opportunities in the future.
Which Type of Security Sees High Integration of Artificial Intelligence?
Network security is forecasted to spearhead global artificial intelligence in security market revenue generation potential in the future. Rising emphasis on improving network security owing to rising frequency of network-targeted cyberattacks. The increasing complexity of networks is also expected to promote the adoption of AI-powered network security solutions in the long run.
Meanwhile, the demand for endpoint security is forecasted to increase at an exceptional pace over the coming years. The rising number of cyberattacks targeting endpoint vulnerabilities and a growing number of endpoints are allowing this segment to provide a lucrative growth scope. Behavioral analytics and AI-based real-time authentication are expected to significantly improve endpoint security of organizations in the future.
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What Allows North America to Augment Global Adoption?
The presence of advanced cybersecurity infrastructure and high cybercrime rates are forecasted to help bolster the dominance of North America going forward. Robust investments in AI R&D and innovation are also helping cement the high share of this region on a global level. Government initiatives like CISA and large-scale enterprise adoption of AI-powered tools ensure sustained demand for artificial intelligence in security market solutions. The rising frequency of data breaches and increasing reliance on cloud services and IoT ecosystems are also making AI integration essential for security.
Artificial Intelligence in Security Market in United States
The United States holds sway over global artificial intelligence in security deployment backed by early adoption of AI, stringent regulatory standards, and a mature financial ecosystem. The presence of major tech firms and analytics providers is helping the country stay on top of artificial intelligence in security innovation. As digital transformation accelerates and cyber risks intensify, demand for AI-integrated, scalable artificial intelligence in security platforms continues to grow across the United States.
Artificial Intelligence in Security Market in Canada
Strong cybersecurity policy framework and AI research ecosystems are helping bolster the demand for artificial intelligence in security in Canada. Financial services, telecom, and healthcare sectors are emerging as leading adopters of AI-based security solutions in the future. Increasing cybercrime, digital transformation, and remote work trends are also expected to play a crucial role in driving up the demand for artificial intelligence in the security market across the study period.
Why is the Adoption of Artificial Intelligence in Security Rising Rapidly in Asia Pacific?
Growing incidence of cyberattacks in Asian countries coupled with rapid digitization makes Asia Pacific the fastest growing region for artificial intelligence in security providers through 2032. Governments are introducing national AI strategies and strengthening cybersecurity laws, which boost enterprise-level adoption. Increasing internet penetration and smartphone usage among people of Asia Pacific region is also increasing vulnerability to cyberattacks and threats. This surge in digital transformation and heightened security awareness propels Asia Pacific’s rapid growth in the AI in security market.
Artificial Intelligence in Security Market in South Korea
South Korean government’s “Digital New Deal” emphasizes AI integration in cyber defense, with initiatives led by the Ministry of Science and ICT. Presence of a robust digital infrastructure, escalating cyberattacks, and geopolitical risks are all making the country a highly opportune market for artificial intelligence in security providers in the future. Financial institutions, telecom organizations, and government bodies are leading the adoption of advanced AI-based security solutions.
Artificial Intelligence in Security Market in Japan
Modernization of industries, rise in cyber risk awareness, and government-led digital initiatives are forecasted to help support artificial intelligence in security adoption in the country. Japan’s aging workforce and talent shortages further drive automation through AI. The country is becoming a regional hub for advanced, context-aware, and predictive security technologies for banking, telecom, and smart citiy applications.
Should Artificial Intelligence in Security Companies Invest in Europe?
Surging investments in artificial intelligence R&D and the growing prevalence of sophisticated cyberattacks are helping artificial intelligence in security industry growth in Europe over the coming years. Emphasis on ethical AI implementation ensures secure and transparent implementation of AI-based security solutions. The launch of cross-border cybersecurity programs is also expected to create a new business scope for artificial intelligence in security market providers across the study period and beyond.
Artificial Intelligence in Security Market in Germany
The presence of a strong industrial base, strict cybersecurity laws, and emphasis on data protection are forecasted to govern AI adoption in security applications through 2032. GDPR compliance and increasing ransomware threats are driving up the preference for automated, real-time threat detection. Collaboration between tech firms and academic institutions is also enhancing the scope of AI-based security innovation in Germany.
Artificial Intelligence in Security Market in United Kingdom
Implementation of strong institutional cybersecurity programs and post-Brexit regulatory independence are helping govern artificial intelligence in security demand in the country. The National Cyber Security Centre (NCSC) is actively promoting the integration of AI for threat detection, risk scoring, and autonomous defense. With rising cybercrime and a thriving startup ecosystem, the country emphasizes the adoption of privacy-respecting and scalable AI security tools.
Artificial Intelligence in Security Market in France
Strong government backing, robust regulatory frameworks, and digital sovereignty initiatives are forecasted to augment artificial intelligence in security market adoption in France. French banks, utilities, and public sector institutions deploy AI to combat insider threats and ensure GDPR compliance. The country also invests in cybersecurity startups and ethical AI research, which is anticipated to create new business opportunities in the long run.
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Artificial Intelligence in Security Market Drivers
Rise of Advanced Persistent Threats (APTs)
High Demand for Real-Time Incident Response
Artificial Intelligence in Security Market Restraints
Complexity and Lack of Standardization
Risk of False Positives and Negatives
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Creating artificial intelligence in security solutions that can easily be integrated with legacy systems and infrastructure should be the prime focus of all artificial intelligence in security providers. Collaborations, acquisitions, and mergers are expected to emerge as attractive strategies for artificial intelligence in security companies looking to expand their business scope. Developed countries with advanced technological infrastructure are more opportune markets for artificial intelligence in security market players in the long run.
Top Player’s Company Profiles
Recent Developments in Artificial Intelligence in Security Market
SkyQuest’s ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Correlates, and Analyses the Data collected by means of Primary Exploratory Research backed by robust Secondary Desk research.
As per SkyQuest analysis, growing sophistication of cyberattacks and rising investments in adoption of better security solutions are projected to bolster the demand for artificial intelligence in security over the coming years. However, complexity in integration and dearth of skilled professionals are estimated to impede artificial intelligence in security market growth in the long run. North America is forecasted to spearhead the adoption of artificial intelligence in security owing to the presence of a strong technological infrastructure and high incidence of cyberattacks. Use of explainable AI and predictive analytics is slated to present lucrative opportunities for artificial intelligence in security providers in the long run.
Report Metric | Details |
---|---|
Market size value in Security | USD 16.5 Billion |
Market size value in 2032 | USD 119.44 Billion |
Growth Rate | 24.60% |
Base year | 2024 |
Forecast period | (2025-2032) |
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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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 in Security 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 in Security 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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