Technological Innovations and Rising Cybersecurity Concerns to Drive Artificial Intelligence-Based Security Market to USD 93.4 Bn by 2033 at 17% CAGR – Coherent Market Insights
The artificial intelligence (AI) based security market was valued at USD 36.2 Bn in 2026 and is projected to reach USD 93.4 Bn by 2033, exhibiting a CAGR of 17% during the forecast period, according to Artificial Intelligence-based Security Market, by Offering (Hardware, Software, and Services), by Deployment Type (Cloud and On-premise), by Security Type (Network Security, Endpoint Security, Application Security, and Cloud Security), by Solutions (Identity and Access Management (IAM), Risk and Compliance Management, Encryption, Data Loss Prevention (DLP), Unified Threat Management (UTM), Antivirus/Antimalware, Intrusion Detection/Prevention System (IDS/IPS), and Others (Firewall, Security and Vulnerability Management, Disaster Recovery, DDOS Mitigation, Web Filtering, Application Whitelisting, and Patch Management)), by Technology (Machine Learning, Context Awareness Computing, and Natural Language Processing), by Verticals (Government & Defense, BFSI, Enterprise, Infrastructure, Automotive & Transportation, Healthcare, Retail, Manufacturing, and Others (Oil & Gas, Education, Energy)), and by Region (North America, Europe, Asia Pacific, Latin America, Middle East, and Africa).
Artificial intelligence-based security systems have the capability to analyze every incident happening and identify its root cause, along with its procedures, and trends. This also helps put in place preemptive measures, so as to stop any untoward incident before it happens. Rising adoption of smart devices, including smartphones and smart wearable devices, is expected to drive growth of the global artificial intelligence-based security market during forecast period. Growing adoption of smartphones is increasing the scope for mobile advertising, including SMS & MMS advertising, mobile web, mobile video & television, and several online advertising channels; dependency on social networking sites; and the requirement for on-demand services such as videos, online messaging applications, video chat, and voice calls, at anytime and anywhere. These are very powerful tools for effective real-time communication.
For instance, over 55% of traffic on LinkedIn is estimated to be generated using mobile phones and over 80% of revenue on Twitter is generated through mobile advertising. Increasing utilization and dependency on the Internet is expected to increase the risk of cyber-attacks. Artificial intelligence can be used to prevent security issues by providing user authentication in smartphones. Artificial intelligence-based security solutions is a combination of machine learning technology and biometrics, with the capability to identify user behavior to improve usability and self-service ability. A smartphone integrated with artificial intelligence can capture the pattern of walk, application of pressure to the screen, scroll, and type, without the need for passwords. For example, Apple iPhone X is installed with an artificial-based algorithm for unlocking device by Face ID. This artificial intelligence system is combined with Apple’s elaborate hardware that works to recognize a user’s face for security. Moreover, it can identify a face with changes such as spectacles or beard over time. Siri, Google Assistant, Cortana, and Alexa are artificial intelligence-based voice assistants, which identify voice, information spoken and can also provide a response. This in turn, is expected to boost demand for artificial intelligence in smartphones, so as to provide ultimate security, in turn, fueling market growth over the forecast period.
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Key Trends and Analysis of the Global AI-based Security Market
- Among geography, North America is estimated to account for the largest market share in 2026. Growth in the region is attributed to the advancements in technology and Internet infrastructure and growing number of social media users. For instance, according to’ analysis, Facebook has the most active users, accounting for 1.860 billion users per month, which is around 22% of the world’s population. The total number of smartphone users in North America increased to around 78% in 2016, from around 60% in 2015. Hence, increasing adoption of smartphones is expected to fuel growth of the AI-based security market.
- Major players operating in the global artificial intelligence-based security market include Nvidia Corporation, Intel Corporation, Xilinx Inc., Samsung Electronics Co., Ltd., Micron Technology, IBM Corporation, Cylance Inc., Threatmetrix, Securonix, Inc., Amazon, Sift Science, Acalvio Technologies, and Skycure Inc.
Key News
- In March 2026, ZTE, technologies and product solutions showcased its full-stack AI innovations at MWC Barcelona 2026, highlighting the integration of AI and ICT across AI-powered network connectivity, AI computing, AI Home, and smart personal devices. Under its “All in AI, AI for All” strategy, the company unveiled eight breakthrough achievements, including AIR MAX, GigaMIMO, SuperPOD, Co-Sight AI Agent Studio, Wi-Fi 8, and AI-native devices to support intelligent digital transformation globally across industries and operators worldwide securely. (Source: ZTE)
- In May 2026, Banco Santander, financial services company launched Santander X Global Challenge The Quantum AI Leap, inviting startups and scaleups from 10 countries to submit quantum computing and AI solutions. Developed with IBM, Bluzec, and Oxentia Foundation, the initiative targets innovations in finance, energy, healthcare, logistics, and cybersecurity. Six winners will receive €120,000 in prizes, mentoring, Santander X 100 access, and specialized support services to accelerate commercialization and industry adoption globally worldwide. (Source: Banco Santander)
- In May 2026, the U.S. Department of Commerce’s Center for AI Standards and Innovation signed agreements with Google DeepMind, Microsoft, and xAI to review advanced AI models before public release. The evaluations aim to identify national security risks related to cybersecurity, biosecurity, and chemical weapons. The move strengthens federal oversight of frontier AI systems as concerns grow over unsafe deployment and misuse by powerful commercial developers worldwide across key sectors.
- In March 2026, Databricks, Inc., software company launched Lakewatch, an open agentic SIEM platform, marking its entry into the cybersecurity market. The solution unifies security and enterprise data for petabyte-scale threat detection, investigation, and response. Built on Databricks’ lakehouse architecture and AI agents, Lakewatch helps teams counter AI-driven attacks, reduce manual workflows, and lower total cost of ownership by up to 80%, while improving visibility, governance, and speed for modern security operations worldwide. (Source: Databricks, Inc.)
- In February 2026, Cisco unveiled major AI-era infrastructure innovations at Cisco Live EMEA, including Silicon One G300, AgenticOps enhancements, AI Defense updates, and SASE advances. The company said the G300 can support gigawatt-scale AI clusters, improve network utilization, and reduce job completion time. These launches aim to help enterprises securely scale agentic AI workloads while strengthening networking, observability, governance, and real-time threat protection across hybrid digital operations globally more confidently. (Source: Cisco)
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