사이버 보안 인공지능(AI) 세계 시장 규모는 2023년에 235억 달러, 2024년 290억 5,000만 달러에서 2032년에는 1,582억 1,000만 달러로 성장하고, 예측 기간중(2025-2032년) CAGR은 23.6%를 나타낼 전망입니다.
인공지능(AI) 기술, 특히 사이버 보안 시장은 사이버 공격의 빈도와 복잡성이 증가함에 따라 크게 성장하고 있습니다. 자연어 처리(NLP)와 머신러닝(ML)과 같은 고급 AI 용도는 보안 기관과 정부 기관에서 위협 감지, 대응 및 보호 조치를 강화하기 위해 활용되고 있습니다. 주요 인사이트에 따르면, 행동 생체 인식을 통한 강력한 사용자 인증에 대한 수요가 증가하고 있으며, 업계 이해관계자들은 보안 인텔리전스를 향상시키기 위해 AI의 잠재력을 최대한 활용하는 ML 알고리즘 개발에 우선순위를 두어야 합니다. 또한, 은행과 같은 부문에서 프라이버시에 대한 우려가 높아지면서 AI 기반 사이버 보안 솔루션의 필요성이 더욱 부각되고 있습니다. 이에 따라 종합적인 보안 솔루션에 대한 수요 증가에 대응하기 위해 이 시장은 크게 확대될 것으로 예측됩니다.
Global Artificial Intelligence (AI) in Cybersecurity Market size was valued at USD 23.5 billion in 2023 and is poised to grow from USD 29.05 billion in 2024 to USD 158.21 billion by 2032, growing at a CAGR of 23.6% during the forecast period (2025-2032).
The market for Artificial Intelligence (AI) technologies, particularly in cybersecurity, is experiencing substantial growth due to the increasing frequency and complexity of cyberattacks. Advanced AI applications, such as natural language processing (NLP) and machine learning (ML), are being leveraged by security and government agencies to enhance threat detection, response, and protection measures. Key insights reveal a rising demand for robust user authentication through behavioral biometrics, pushing industry stakeholders to prioritize the development of ML algorithms that harness AI's full potential for improving security intelligence. Additionally, heightened privacy concerns in sectors like banking further underscore the necessity for AI-driven cybersecurity solutions. As a result, the market is poised for significant expansion to meet the escalating demand for comprehensive security solutions.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Artificial Intelligence (AI) in Cybersecurity market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Artificial Intelligence (AI) in Cybersecurity Market Segments Analysis
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 intomachine 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.
Driver of the Global Artificial Intelligence (AI) in Cybersecurity Market
The surge in cyberattacks is a significant catalyst for the growing integration of AI in cybersecurity. Conventional security protocols frequently fall short in addressing the fast-evolving nature of threats, prompting a need for advanced solutions. AI technologies, with their ability to process vast datasets and detect patterns of wrongdoing, offer robust defense mechanisms against complex attacks, including common vulnerabilities and advanced persistent threats (APTs). As organizations seek to bolster their security frameworks, the adoption of AI-driven solutions becomes imperative, ensuring they can effectively navigate and counteract the ever-changing landscape of cyber threats.
Restraints in the Global Artificial Intelligence (AI) in Cybersecurity Market
The implementation of AI-driven cybersecurity solutions entails substantial investment in software, hardware, and specialized personnel, which can pose a challenge, especially for small and medium enterprises (SMEs) that often find these expenses prohibitive. This financial burden can deter SMEs from adopting such technologies, curbing their ability to enhance cybersecurity measures. Additionally, larger organizations, despite having more resources, may also face difficulties justifying the high costs associated with widespread AI deployment across various sectors of their operations. Consequently, these financial constraints represent a significant barrier to the broader integration of AI in cybersecurity practices.
Market Trends of the Global Artificial Intelligence (AI) in Cybersecurity Market
The integration of Artificial Intelligence (AI) into threat intelligence systems is a pivotal trend shaping the global AI in cybersecurity market. As cyber threats evolve in complexity, AI enhances the capacity to predict, detect, and mitigate risks in real-time by analyzing vast amounts of threat data from diverse sources, such as the dark web, social media, and network traffic. These sophisticated AI algorithms identify patterns and anomalies that signal potential attacks, enabling a proactive defense approach. Automating the correlation and analysis of threat intelligence not only provides timely and accurate insights but also fosters the development of scalable cybersecurity solutions, fortifying organizations against ever-evolving threats.