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Based on component, the market is divided into solution and service. The solution segment dominated around USD 1.3 billion revenue in 2023. Solutions provide a broader range of functionalities than other categories, including bias detection, explainability tools, security monitoring, and vulnerability management, ensuring a holistic approach to AI trust and security.
Enterprises can select a solution tailored to their unique requirements and risk profile. Solutions are frequently intended to work with current IT infrastructure and security solutions. This enables enterprises to use their existing investments while creating a single security environment for AI. Interoperability with other security products offers a more comprehensive approach to risk management.
Based on the organization size, the AI trust, risk and security management market is categorized into SME and large enterprises. The large enterprises segment is anticipated to grow at a CAGR of over 15% from 2024 to 2032. Large organizations are at the forefront of AI adoption, incorporating it into a wide range of business tasks, from customer service chatbots to automated manufacturing processes. This broad usage of AI requires more effective AI trust, risk, and security management solutions to address the accompanying issues.
Large organizations frequently use sophisticated AI models to manage massive volumes of data and make vital choices. These complex systems require complete AI trust, risk, and security management solutions that cover a broader spectrum of risks including algorithm bias, data privacy issues, and the explainability of AI outcomes.
North America AI trust, risk and security management market accounted for 35% of the revenue share in 2023. North America is a hub for major technological businesses and research organizations at the cutting edge of AI development. This encourages early AI use in a variety of areas including healthcare, finance, retail, and manufacturing. The presence of these top firms provides a solid basis for AI trust, risk, and security management solutions.
Advanced cloud platforms, solid security architecture, and AI governance expertise provide a fruitful environment for the creation and deployment of AI trust, risk, and security management solutions. North American governments are establishing AI rules, particularly those addressing data privacy, justice, and explainability. This regulatory drive produces a high demand for AI trust, risk, and security management solutions that can assist enterprises in ensuring compliance.