The Asia Pacific AI Trust, Risk And Security Management Market would witness market growth of 21.1% CAGR during the forecast period (2024-2031).
The China market dominated the Asia Pacific AI Trust, Risk And Security Management Market by Country in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of $671.6 million by 2031. The Japan market is experiencing a CAGR of 20.3% during (2024 - 2031). Additionally, The India market would exhibit a CAGR of 21.8% during (2024 - 2031).
Artificial intelligence (AI) technologies are transforming several industries through their rapid progress and widespread acceptance. These technologies increase decision-making capabilities, revolutionize business processes, and spur creativity. However, as AI-driven systems and applications increase, security, risk, and trust issues have become crucial obstacles for businesses utilizing AI while minimizing related threats fully. The market has emerged as a dynamic and rapidly evolving sector focused on developing and deploying solutions to address AI technologies' complex and multifaceted security challenges.
Breakthroughs in machine learning, deep learning, natural language processing, computer vision, and other AI disciplines have significantly improved the capabilities and performance of AI systems. Governments are recognizing the strategic importance of AI in driving economic growth, innovation, and competitiveness. Many countries are implementing AI strategies, funding research initiatives, and supporting AI talent development to foster AI adoption and leadership in key sectors. For example, according to the Australian Government, digital innovations including AI could contribute $315 billion to Australia’s GDP by 2030. Australian spending on AI systems will grow to over $3.6 billion by 2025, at a rate of 24.4% between 2020 and 2025.
Of the total, the revenue of emerging business such as internet data center, cloud computing, and the internet of things rose 32.4 percent year on year, driving the revenue of telecom business to increase by 5.1 percentage points. With the expansion of telecommunications infrastructure and the proliferation of data-intensive services such as 5G networks, IoT (Internet of Things), and cloud computing in China, there is a growing concern about data security and privacy. AI-powered solutions play a crucial role in ensuring the trustworthiness of telecommunications networks by detecting and mitigating security threats, protecting sensitive data, and enforcing privacy regulations. Therefore, the expansion of the BFSI sector and the growing regional telecommunication industry is driving the market's growth.
Free Valuable Insights: The Global AI Trust, Risk and Security Management Market is Predict to reach USD 8.2 Billion by 2031, at a CAGR of 20.3%
Based on Deployment Mode, the market is segmented into On-premise, and Cloud. Based on Component, the market is segmented into Solution, and Services. Based on Application, the market is segmented into Governance & Compliance, Bias Detection & Mitigation, Security & Anomaly Detection, and Privacy Management. Based on Type, the market is segmented into Explainability, ModelOps, Data Anomaly Detection, Data Protection, and AI Application Security. Based on Enterprise Size, the market is segmented into Large Enterprise, and Small & Medium Enterprise. Based on End-use, the market is segmented into Telecom & IT, Government, Healthcare, BFSI, Media & Entertainment, Manufacturing, Retail & eCommerce, and Others. Based on countries, the market is segmented into China, Japan, India, South Korea, Australia, Malaysia, and Rest of Asia Pacific.
By Deployment Mode
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