Strong demand for AI among enterprises drives AI trust and security market

It is expected that by 2030, the global artificial intelligence trust, risk and security management market size is expected to reach US$7.44 billion. Researchers expect the market to grow at a CAGR of 21.3% from 2024 to 2030. As organizations increasingly adopt artificial intelligence, concerns about bias, explainability, and security vulnerabilities have increased, making Artificial Intelligence Trust, Risk and Security Management (TRISM) solutions are critical to effectively manage these risks.

Regulators are increasingly focused on promoting responsible and trustworthy AI systems, consistent with the continued growth in demand for AI TRISM solutions. The demand for safe and reliable AI applications in different industries is also growing, thus requiring AITRISM to reduce risks and ensure compliance.

Create growth through cooperation

Some analysts pointed out that the partnership between artificial intelligence TRISM providers and other technology companies is growing, providing market Bring new growth opportunities. This collaboration aims to expand the AITRISM ecosystem to drive more comprehensive and integrated solutions. Through collaboration, AITRISM providers and technology companies are able to organically combine elements such as data security platforms, explainable AI tools, and monitoring systems with the existing AITRISM framework.

In addition, such collaborations help address specific industry needs related to AI implementation and development. Various industries, including healthcare, finance, and manufacturing, face unique challenges with AI solutions related to trust, risk, and security. Through collaboration, technology companies can customize AITRISM solutions to meet the unique needs of each industry, providing professional and effective tools.

Generative Artificial Intelligence Basic Model

The rise of generative artificial intelligence has brought new challenges to data management and privacy protection, requiring advanced tools to handle data between users and organizations Interaction. By collaborating, AITRISM developers and policymakers can jointly address these challenges, providing greater opportunities for innovation and tool development. As demand for AITRISM solutions grows, developers are expected to create new tools and methods that address the challenges of data management, privacy protection, and content filtering under the generative AI foundation model.

In 2023, the solutions segment will be the market leader with a revenue share of 70.7%, based on a component-by-component calculation. This segment is expected to witness growth as the need to automate the software development process and evaluate the credibility of ML models increases.

Market Trend Highlights

According to market segmentation, explainability accounted for the largest revenue share in the healthcare space in 2023. Healthcare providers and practitioners are actively adopting explainable AI models to help them understand the decision-making process for diagnostic algorithms, treatment recommendation systems, and patient outcome predictions.

In 2023, the governance and compliance sector will have the highest revenue share, indicating a greater public awareness of the social impact of artificial intelligence. Consumers are starting to advocate for ethical and responsible AI practices, a trend that will further drive industry growth.

Based on end use, the IT and telecom segment accounted for the largest revenue share in 2023. IT and telecom enterprises are actively adopting AITRISM solutions as part of efforts to mitigate potential AI-related risks, protect data and ensure full utilization of AI. privacy protection.

North America dominates the market, accounting for 32.6% share by 2023. A small number of North American companies have already implemented responsible AI practices, and multiple others are planning to expand the responsible AI framework by 2025.

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