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AI Governance Market size was valued at USD 145.5 million in 2023 and is anticipated to grow at a CAGR of over 52% between 2024 and 2032. The proliferating interest in ethical hacking and penetration testing is driving the market size. The increasing awareness about the vulnerabilities and risks associated with digital systems among organizations is raising the demand for ethical hackers and penetration testers to identify & address these weaknesses.
The focus on ethical hacking and penetration testing is propelled by the need to enhance cybersecurity and protect against malicious attacks. This has led to the growth of companies providing ethical hacking services, vulnerability assessments, and penetration testing solutions. The rising interest in these practices highlights the importance of ethical behavior in the digital realm, fueling the market growth.
Report Attribute | Details |
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Base Year: | 2023 |
AI Governance Market Size in 2023: | USD 145.5 Million |
Forecast Period: | 2024 to 2032 |
Forecast Period 2024 to 2032 CAGR: | 52.8% |
2032 Value Projection: | USD 5.4 Billion |
Historical Data for: | 2018 – 2023 |
No. of Pages: | 200 |
Tables, Charts & Figures: | 298 |
Segments covered: | Component, Deployment Mode, Organization Size, Application |
Growth Drivers: |
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Pitfalls & Challenges: |
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With AI and IoT applications becoming more prevalent in various industries, concerns about the ethical implications of these technologies are growing. Ethical AI and IoT solutions are witnessing high demand due to increasing focus on principles such as transparency, fairness, accountability, and privacy. This drive to develop and implement ethical AI & IoT systems is fueling the AI governance market growth with companies providing ethical AI & IoT services, consulting, and solutions.
The lack of trained & skilled professionals is hampering the AI governance industry growth. The demand for ethical practices in the digital realm is increasing; however, there is a shortage of individuals with the necessary knowledge & expertise in areas such as cybersecurity, ethical AI, privacy, and data governance. Moreover, owing to the complexities and evolving nature of AI governance, there is a growing need for professionals who can effectively navigate these ethical challenges. The shortage of trained personnel also limits the ability of organizations to implement and maintain robust ethical practices.