What Is The Current and Historic Market Size Analysis Of The AI Trust Risk And Security Management Market?
The ai trust risk and security management market has seen considerable growth due to a variety of factors.
• The market size for AI trust, risk, and security management has seen significant expansion in the past few years. It is projected to increase from $2.49 billion in 2024 to $2.91 billion in 2025, representing a compound annual growth rate (CAGR) of 16.8%.
This growth during the historic period can be ascribed to a rise in trust in AI, heightened awareness about the abilities of AI, the surge in data proliferation, the extension of IoT and connected devices, as well as an increase in the adoption of cloud technology.
What Are The Predictions for The AI Trust Risk And Security Management Market?
The ai trust risk and security management market is expected to maintain its strong growth trajectory in upcoming years.
• Predictions show that the AI trust, risk and security management market is poised for swift expansion in the coming years. It is projected to soar to $5.44 billion in 2029, with a compound annual growth rate (CAGR) of 16.9%.
This predicted surge during the forecasted period is linked to the escalating cyber threat landscape, the growing demand for bespoke risk management service, the widespread adoption across different industries, the mounting need for real-time analytical tools, the accelerating application of AI in fraud recognition, as well as increasing worries about AI ethics and privacy. The major trends of the forecasted period encompass technological progressions, advancements in self-sufficient security systems, blockchain technology development, headway in AI and machine learning, and cross-industry cooperation.
What Main Forces Are Fueling Expansion In The AI Trust Risk And Security Management Market?
The rise in cyber threats is anticipated to boost the AI trust, risk, and security management market's expansion. Cyber threats, which involve harmful activities carried out through digital networks or systems with the intent to cause harm, steal data, or disrupt operations, can be deterred through AI trust, risk, and security management. These techniques aid in the early detection of issues and proactive risk mitigation. For example, in April 2024, data released by the Department for Science, Innovation, and Technology, a ministerial department in the UK, indicated that around 22% of businesses and 14% of charities had been victims of cybercrime in the previous year. The figures rose to 45% for medium-sized businesses, 58% for large businesses, and 37% for high-income charities. Hence, the escalating cyber threats are fueling the growth of the AI trust, risk, and security management market.
What Are The Core Segments Of The Global AI Trust Risk And Security Management Market?
The AI trust, risk and security management market covered in this report is segmented –
1) By Component: Solution, Services
2) By Deployment Mode: On-Premises, Cloud Based
3) By Enterprise Size: Large Enterprise, Small And Medium-Sized Enterprise
4) By Application: Banking, Financial Services, And Insurance(BFSI), Retail And E-Commerce, Healthcare, Automotive, Energy And Utilities, Other Applications
Subsegments:
1) By Solution: Risk Assessment Tools, Compliance Management Solutions, Identity And Access Management Systems, Threat Detection And Response Software
2) By Services: Consulting And Advisory Services, Implementation And Integration Services, Training And Awareness Programs, Ongoing Support And Maintenance Services
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Which Emerging Trends Are Reshaping The AI Trust Risk And Security Management Market Size?
Key players in the AI trust, risk and security management market are prioritizing the development of a secure AI framework to boost their market earnings. A Secure AI Framework is essentially a set of rules and best practices with the aim to ensure responsible, transparent, and secure usage of AI technologies, mitigating risks and reinforcing trust. For example, Google LLC, a premier technology company based in the US, unveiled SAIF in June 2023. SAIF, an acronym for a robust security infrastructure for AI, lays emphasis on firm security foundations, effective data management, consistent platform rules, and productive security and compliance protocols, along with the incorporation of controls to manage AI deployment. Moreover, it reflects Google's best practices in software security, focusing primarily on the ethical production and use of AI.
Who Are the Key Players In The AI Trust Risk And Security Management Market?
Major companies operating in the AI trust
• risk and security management market report are:
• Google LLC
• AT&T Inc.
• International Business Machines Corporation
• Oracle Corporation
• SAP SE
• ARTHUR.ai
• ServiceNow Inc.
• Palo Alto Networks Inc.
• Moody's Analytics Inc.
• Fortinet Inc.
• SAS Institute Inc.
• F5 Networks Inc.
• LogicManager Inc.
• Check Point Software Technologies Ltd.
• McAfee Corp.
• Trend Micro Inc.
• CrowdStrike Holdings Inc.
• Proofpoint Inc.
• Zscaler Inc.
• Sophos Ltd.
• RSA Security LLC
• Rapid7
• CyberArk Software Ltd.
• FireEye Inc.
• Darktrace Holdings Limited
What Are The Regional Insights Into The AI Trust Risk And Security Management Market?
North America was the largest region in the AI trust, risk, and security management market in 2024. Asia Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the AI trust, risk and security management market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
