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  3. In-depth Analysis of the AI Security Industry Market and Development Strategy Research
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In-depth Analysis of the AI Security Industry Market and Development Strategy Research

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  • baoshi.raoB Offline
    baoshi.raoB Offline
    baoshi.rao
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    AI Security Industry Market In-depth Analysis AI Security Development Strategy Research

    AI has become one of the important innovation directions in the post-pandemic era, and the AI security market is expected to have vast potential in the long term. According to reports, AI security will be one of the fastest-growing commercial sectors in the next decade. By 2025, the global AI security software market size is projected to reach $121.8 billion, with a compound annual growth rate (CAGR) of 31.9% from 2020 onwards.

    In the future, as the boundaries of information security continue to expand, the demand for the AI security industry will continue to grow. According to predictions by the Global System for Mobile Communications Association (GSMA), the global AI security software market size will reach $121.8 billion by 2025, with a CAGR of 31.9% from 2022 onwards.

    Market forecasts indicate that with large-scale global investments in AI security, the market size for AI security products will exceed hundreds of billions.

    Currently, a new round of technological revolution and industrial transformation is emerging. Driven by technologies such as 5G, big data, cloud computing, and deep learning, artificial intelligence (AI), as a critical strategic technology for new infrastructure, is accelerating its development and integrating innovatively with various industries, triggering chain reactions. Particularly in the field of cyberspace security protection, AI has unique value and advantages in threat identification, situational awareness, risk scoring, malicious detection, harmful content governance, spam and fraud call detection, and gray/black industry identification. The demand for applications is experiencing leapfrog development, generating significant spillover effects.

    To explore solutions to cutting-edge security application challenges, create best practices for "AI in Security" (AI empowering security), and foster global consensus in the information and communication industry on AI's role in security, the goal is to promote widespread application and large-scale development, thereby enhancing intelligent cyberspace security protection.

    From the perspective of product layout and application areas, the main competitors in China's AI security industry have similar product offerings, primarily focusing on big data analytics-driven security management platform products. From a technical perspective, Chinese companies' products are based on big data platforms, collecting diverse and heterogeneous massive logs, and leveraging technologies such as correlation analysis, machine learning, and threat intelligence to provide security operations tools for security personnel.

    Industry enterprises rely on integrated modeling scenarios involving correlation, rules, and statistics to conceive, master, and implement comprehensive solutions. Through active monitoring, precise protection, intelligent analysis, and operational collaboration, they achieve proactive management of security objects and timely analysis of security events, with little difference from domestic competitors. From the perspective of customer types, the primary clients of industry enterprises include finance, government, telecom operators, energy, healthcare, and manufacturing, showing no significant difference from domestic competitors.

    Industry enterprises primarily generate profits through the sales of cybersecurity products, as well as by providing professional cybersecurity solutions and services to clients. These companies employ a combination of direct sales and channel agency sales models. For major clients in sectors such as telecommunications operators, finance, and energy, enterprises typically adopt direct sales approaches, assigning dedicated sales and business teams to serve them. For other clients, channel agency sales are generally utilized, a common model in the cybersecurity industry.

    With the ongoing prevalence of AI fraud, there has been a significant surge in demand for cybersecurity. In the long term, the AI security market is expected to have vast growth potential. AI security is projected to be one of the fastest-growing commercial sectors over the next decade. By 2025, the global AI security software market is anticipated to reach $121.8 billion, with a compound annual growth rate (CAGR) of 31.9% from 2022 onwards.

    Data shows that several A-share listed companies are actively expanding into AI-related security technologies. Meiya Pico stated on an investor interaction platform that it has launched the AI-3300 "Huiyan" Video Image Authentication Workstation, capable of detecting and identifying content generated by AI. Similarly, Qi An Xin Technology has announced its deep involvement in various aspects of generative AI model security.

    As a critical capability for "risk mitigation" in the digital era, research and application of trustworthy AI security technologies will be widely used in anti-fraud, anti-money laundering, anti-gambling, digital identity verification, and enterprise joint risk control, significantly enhancing corporate risk management capabilities.

    In recent years, the AI industry has accelerated its development. According to calculations by the China Academy of Information and Communications Technology (CAICT), China's core AI industry reached ¥508 billion in 2022, an 18% year-on-year increase, with over 4,000 enterprises. China's AI industry has now entered the global first tier. Predictions indicate that by 2030, China's core AI industry will exceed ¥1 trillion, while the global AI market is expected to reach $16 trillion. A March report by the U.S. Chamber of Commerce noted that "nearly all businesses and government agencies" will adopt AI within the next 20 years, profoundly impacting society, the economy, and national security.

    Industry experts predict that the next 5 to 10 years will be a critical period for AI development. Focusing solely on generative AI, Gartner expects it to reach maturity within 2 to 5 years, offering substantial application opportunities and commercial potential as a key future technology trend.

    With continuous technological advancements, every aspect of society—from nations to enterprises and individuals—faces significant risks of data breaches and cybersecurity threats. This has driven more corporate users and cybersecurity providers to invest in AI-driven security technologies to address emerging challenges. According to IDC projections, the cybersecurity AI market will grow at a CAGR of 23.6% over the next five years, reaching a market value of $46.3 billion by 2027.

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