AI Governance Market

AI Governance Market Is Estimated to Witness High Growth Owing to Rapid Adoption Of AI-based Technologies

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The AI Governance market is estimated to be valued at US$ 131.9 million in 2023 and is expected to exhibit a CAGR of 46.60% over the forecast period 2023-2030, as highlighted in a new report published by Coherent Market Insights.

Market Overview:
AI governance refers to frameworks and processes intended to ensure the safe and responsible development and application of artificial intelligence. It helps align AI systems with ethical, privacy and safety considerations. Some key uses of AI governance solutions include algorithmic auditing, public transparency, data management and compliance.

Market Dynamics:
Rapid adoption of AI-based technologies across industries is boosting demand for AI governance solutions, which is a key driver for the market. Organizations are increasingly adopting AI to automate business processes and enhance productivity. However, lack of proper oversight over AI systems poses risks such as unfair decision making, lack of transparency and cyber threats. This is propelling the need for governance of AI systems. Another factor fueling the AI governance market growth is stringent regulations around data privacy and security. With rising data breaches and privacy issues, regulators across regions are implementing stringent norms to protect data and ensure ethical use of AI technologies. This is encouraging enterprises to leverage AI governance solutions to comply with regulatory standards.

SWOT Analysis

Strength: AI Governance has the potential to help businesses establish ethical AI practices and avoid risks. It allows organizations to ensure AI systems are aligned with their values and priorities. Effective governance helps build trust in AI among customers and employees.

Weakness: Implementing a robust AI governance framework requires substantial investments of time and resources. Many organizations lack expertise in this area. It can also limit the rate of innovation if too many controls and processes are put in place.

Opportunity: As more businesses adopt AI, the need for governance will grow to address rising regulatory pressures and avoid violations. It can provide a competitive advantage to early adopters. Increased transparency and accountability helps gain a stronger social license to operate.

Threats: Without proper oversight, risks of building biased or unfair systems persist. Non-compliance with emerging rules could lead to penalties and loss of brand reputation. Failing to establish governance allows competitors to gain an early edge.

Key Takeaways:

The global AI Governance Market Size is expected to witness high growth, exhibiting CAGR of 46.60% over the forecast period, due to increasing regulatory pressures worldwide to ensure ethical and responsible use of AI technologies. Large corporations are allocating more funds to formalize governance practices in order to avoid compliance issues and costly litigation down the line.

Regional analysis: North America currently dominates the AI governance market, with the United States alone accounting for over 30% revenue share in 2023. Strict laws around data privacy, non-discrimination, and algorithmic transparency have accelerated governance initiatives in the region. Asia Pacific is projected to see the fastest gains, rising at a CAGR of 49.7% during the analysis timeframe. Rapid AI deployment across industry verticals and growing public scrutiny is driving greater accountability needs.

Key players operating in the AI Governance market are Facebook, Inc. (Meta Platforms Inc), IBM Corporation, Integrate.ai Inc., Google LLC (Alphabet Inc.), H2O.ai, Inc., SAP SE, SAS Institute Inc., Microsoft Corporation, Pymetrics Inc., FICO Inc., and Salesforce.com, Inc. Large tech giants are bolstering internal review processes to evaluate ML systems. Startups are offering specialized tools and frameworks needed to manage AI portfolios at scale.

*Note:
1. Source: Coherent Market Insights, Public sources, Desk research
2. We have leveraged AI tools to mine information and compile it