Introduction
Contents
- Introduction
- Editor’s Choice
- What is AI Governance?
- AI Governance Market Size Statistics
- AI in Data Governance Market Size
- Adoption of AI Governance Statistics
- Generative Artificial Intelligence Governance Statistics
- Barriers in AI Adoption Statistics
- AI Adoption Statistics
- AI Governance Regional Statistics
- Conclusion
AI Governance Statistics: AI Governance is getting much attention worldwide as AI tools are increasingly used in different industries. Because of the rising worries about fairness, privacy, openness and control, many governments and companies are creating rules to manage how AI is built and used. Recent data shows that over 60 countries have launched national plans for AI, and spending on AI rules and safety systems is increasing.
These actions aim to support innovations while ensuring AI stays safe, fair and in line with human values. This article aims to provide deeper insights into AI Governance Statistics, highlighting the key trends, global initiatives, and the growth efforts to regulate and guide the responsible use of AI.
Editor’s Choice
- The worldwide AI governance market was valued at about USD 258.3 million in 2024.
- Experts at IMARC Group predict it will grow quickly and hit nearly USD 4.31 billion by 2033, with a yearly growth rate (CAGR) of 36.71% from 2025 to 2033.
- North America is currently the top region, holding over 33% of the market share in 2024.
- A 2023 industry report stated that almost 80% of organizations worldwide have implemented AI ethics guidelines to increase transparency and decrease bias.
- The Artificial Intelligence (AI) Act, which will be effective by 2025, sets strict ethical rules for the development of AI in the European Union.
- 45% of the advances in AI tools make them more accessible.
- Model OP highlighted in its report using AI Governance Statistics figures that 42% of the people need to reduce costs and automate key processes.
- 37% shall increase the amount of AI embedded into standard off-the-shelf business applications.
- In May 2024, leaders from the EU, USA, UK, Australia, Canada, and others adopted the Seoul Declaration for Safe, Innovative, and Inclusive AI, committing to international cooperation in developing interoperable AI governance frameworks.
- This treaty, signed in September 2024 by over 50 countries, aims to ensure AI development is compatible with human rights, democratic values, and the rule of law.
What is AI Governance?
AI governance is about setting rules, standards, and guidelines to ensure that artificial intelligence (AI) systems are safe, fair, and used properly. These rules help guide how AI is created, tested, and used so that it respects people’s rights and remains trustworthy.
Strong AI governance includes safety checks to manage risks like unfair treatment (bias), privacy issues, and technology abuse. At the same time, it supports new ideas and builds public trust in AI.
A responsible approach to managing AI requires help from developers, users, government officials, and ethics experts to ensure that AI matches society’s values.
AI Governance Market Size Statistics
- The worldwide AI governance industry was predicted to be USD227.6 million in 2024 and is estimated to increase at a CAGR of 35.7% from 2025 to 2030.
(Source: grandviewresearch.com)
- The above chart shows the AI Governance Market Size by component between 2020 and 2030.
- In 2024, the global AI governance market was worth about USD258.3 million.
- Experts at IMARC Group expect the market to grow quickly, reaching nearly USD4.31 billion by 2033.
- This growth shows a strong compound annual growth rate (CAGR) of 36.71% from 2025 to 2033.
- North America currently leads the way, making up over 33% of the global AI governance market in 2024.
- 85% of the IT professionals agree( in varying degrees) that consumers are more likely to choose services from companies with transparent and ethical AI governance practices.
AI in Data Governance Market Size
- The global AI in Data Governance Market is projected to reach USD 16.5 Billion by 2033, growing from USD 1.7 Billion in 2023 at a CAGR of 25.5% from 2024 to 2033.
- In 2023, the Solution segment led the market by component with a 64.3% share.
- The Cloud-Based deployment model dominated the market in 2023, holding a 67.0% share.
- Large Enterprises accounted for 68.5% of the market by organization size in 2023.
- The BFSI sector held a leading position among industry verticals with a 21.7% market share in 2023.
- North America generated USD 0.63 Billion in revenue in 2023, capturing a 37.3% regional market share.
- 80% of organizations reported improved stakeholder trust through AI-driven data governance due to enhanced transparency and accountability.
- 65% of data governance leaders support ethical AI frameworks to reduce bias and ensure fairness.
- 56% of organizations are using AI to improve regulatory compliance and governance efficiency.
- 45% of professionals are using or considering AI-generated synthetic data for privacy and compliance.
- 42% of companies are actively exploring AI integration into their data governance systems.
- 34% of firms have already adopted AI in their data processes.
- 22% of companies are aggressively applying AI across operational workflows.
Adoption of AI Governance Statistics
- In 2024, the communication, media, and technology industry had the highest share of businesses that fully implemented AI data governance steps.
- Alation highlighted in its report using AI Governance Statistics figures that about 24% of the people in this field said their companies had completely carried out 50% or more of the recommended practices to reduce risks linked to AI data.
- This sector also used AI-related data governance tools most widely, with each company using an average of 2.52 measures.
(Reference: statista.com)
High or complete confidence | Moderate Confidence | No or Low Confidence | |
National universities |
47 | 32 | 17 |
International research organization | 45 | 31 |
17 |
Security/Defence forces |
47 | 29 | 20 |
International organisations (e.g. UN) | 42 | 32 |
20 |
Partnership of tech companies, academia, and civil society groups |
40 | 35 | 19 |
Existing regulatory/Government agencies | 36 | 36 |
25 |
Tech companies |
34 | 32 | 31 |
Government | 34 | 30 |
33 |
- According to a global study by KPMG Australia and the University of Queensland, public trust in government oversight of AI is very low.
(Source: centraleyes.com)
- After surveying more than 17,000 people across 17 countries, only 1 in 3 people (about 33%) said they had strong or complete confidence in their government’s ability to manage and regulate AI systems.
Generative Artificial Intelligence Governance Statistics
- The rapid rise of AI is understandable, as 57% of privacy departments have taken on additional tasks related to managing AI systems.
(Source: accelirate.com)
- Almost 28% of companies permit the explicit use of Generative AI.
- Based on AI Governance Statistics, GM Insights revealed that 54% of the companies report employees using it without permission.
- Almost 35% of the people are unsure about generative AI usage within their organizations.
- 41% of the companies provide no Artificial Intelligence training, even to directly impacted teams.
- 54% of the companies believe insufficient attention is given to ethical standards in AI implementation.
- Less than one-third of companies consider AI risk an immediate priority.
- Only 10% of the companies have a formal and comprehensive policy for Generative AI.
- A Gartner survey estimated that by 2025, almost 80% of consumer service and support companies are predicted to integrate Generative AI techniques in different capacities to increase productivity and consumer experience.
- The survey shows that the most significant effect of AI is expected to be on customer experience. 38% of leaders mentioned that using applications based on large language models improves experience and keeps users returning.
- In 2024, the EU is stated to set the stage for inclusive rules of generative Artificial Intelligence.
Barriers in AI Adoption Statistics
(Reference: statista.com)
Lack of skill to support adoption | 50% |
Lack of vision among the managers and leaders |
43% |
High costs of available AI products and services |
29% |
Lack of customisation to local business needs |
24% |
Complex and costly regulations around the use of AI and data |
21% |
Lack of demand among consumers |
16% |
- In 2025, 50% of businesses cited the lack of skilled employees as the biggest obstacle to AI adoption.
- Based on AI Governance Statistics, GM Insights revealed that almost 43% found out to have a lack of vision among managers and the leaders, whereas 29% stated the high costs of AI products and services.
(Reference: centraleyes.com)
- In the above pie chart, we can see the AI adoption barrier that is specific to Generative AI.
AI Adoption Statistics
(Reference: enterpriseappstoday.com)
- In 2024, 85% of marketing experts from both B2B and B2C companies believe that generative AI will completely change how content is made.
- The AI industry is expected to expand 13 times over the next 7 years, making it a big deal for companies focused on AI in 2024.
- According to a report by Oxford Insights, the United States leads the world in AI readiness with a score of 84.8 out of 100, followed by Singapore and the United Kingdom.
- By 2030, AI could add USD15.7 trillion to the global economy.
- In 2025, AI’s total value might hit USD500 billion, which is about the same as the economy of some countries.
- Around 142 million people across the globe work in the AI field.
- The global AI market is now worth USD298.25 billion, a 43.46% increase from last year.
- One major reason for AI’s rapid growth is how much it increases productivity through data analysis and automation.
- In 2024, 96% of employers hiring new talent will seek AI skills.
- In 2023, the AI industry was estimated to be worth USD241.80 billion.
- Grand View Research predicts the worldwide AI market could reach USD1.81 trillion by 2030, growing at an average annual rate of 37.3% between 2023 and 2030.
- The generative AI market, valued at USD1.75 billion in 2022, is expected to grow by nearly 80% annually, reaching about USD33.03 billion by 2027.
- Spherical Insights forecasts that the AI computer vision market will be worth around USD100.42 billion by 2032.
- The AI voice generator industry, which made USD1.396 billion in 2023, could grow to USD4.889 billion by 2032, with an average yearly growth of 15.4%.
- McKinsey reports that 55% of businesses have started using AI, but less than 33% use it in multiple areas of their operations.
(Reference: explodingtopics.com)
- The above chart shows the AI gross value added in 2035.
- In 2023, the average size of AI investments grew by 48%, mostly due to large funding rounds.
- The Marketing and Advertising sector had the highest use of AI at 37%.
- The Tech industry followed with 35%, and Consulting came in at 30%.
- Healthcare had the lowest use of AI, with only 15% of organizations adopting it.
- China (58%), India (57%), and Italy (42%) are the leaders in the amount they use AI.
- Other top countries exploring AI include Canada (48%), the United Kingdom (47%), and Singapore (46%).
- The AI market could reach a total of USD1.81 trillion by 2030.
- By 2030, AI may add USD15.7 trillion to the world’s economic output.
- By 2025, AI could eliminate 85 million jobs but create 97 million new ones, leading to a net gain of 12 million jobs.
- IBM cited AI Governance Statistics showing that only 32.5% of people trust AI-generated search results, but 98.1% of digital marketers say AI is vital to their work.
- In retail, AI spending may hit USD20.05 billion by 2026.
- In healthcare, 38% of providers already use AI to help with medical diagnoses.
AI Governance Regional Statistics
- The AI governance software industry is expected to grow at a steady 30% annual rate, reaching about USD15.8 billion by 2030. This growth is mainly due to the increasing demand for safe and accountable AI and new government rules.
- By 2024, Latin America will lead in using AI data governance. Around 21% of regional companies have fully applied at least half of the key practices to handle AI-related risks.
(Source: grandviewresearch.com)
North America
- United States: The U.S. remains a global leader in AI readiness, scoring 84.8 out of 100. The country has rolled out several AI-focused rules and actions, including an AI Bill of Rights and Executive Orders that push for fairness, security, and openness in AI.
- Canada: In November 2024, Canada launched the Canadian Artificial Intelligence Safety Institute (CAISI). This was part of a CAD 2.4 billion (USD 1.76 billion) government AI investment to strengthen local AI talent and computing power.
Europe
- European Union: The EU AI Act became official in August 2024. It introduces a complete legal structure that sorts AI systems by their riskiness and places strict rules on high-risk uses.
- This plan, launched in February 2025, will invest €200 billion (USD 215 billion) in AI infrastructure, including building four major AI centers to support advanced AI models.
(Reference: coherentmarketinsights.com)
Asia-Pacific
- Singapore: In May 2024, the Singapore Consensus was released, a global plan that encourages teamwork in AI safety research and responsible development.
- South Korea: In September 2024, the country will establish the National Artificial Intelligence Committee to lead national AI policies and grow its leadership in AI and chips.
- India: Started AI Pragya in May 2024, aiming to teach 1 million people digital skills like AI, machine learning, and data analysis to improve jobs and startups.
- The Asia-Pacific AI governance market is on track to grow to USD474.7 million by 2030, rising at a 39.7% yearly growth rate from 2024. South Korea is expected to have the fastest growth in this area.
Middle East and Africa
- United Arab Emirates (UAE): In 2024, the UAE started teaching AI basics to children as young as four, helping them prepare for the future job market and making the UAE a top AI hub in the region.
- GCC Nations (like Saudi Arabia, Qatar, and Oman): These countries are using a “soft regulation” approach, focusing on national AI plans and moral values instead of strict rules, to help AI grow quickly.
Latin America
- Brazil: Passed a national AI plan that supports new ideas and ethical AI use.
- Mexico and Chile: These countries are working together with businesses to shape AI policies and build fair AI systems through public-private efforts.
- AI Data Governance: Latin America ranks highest in AI governance, with each company using an average of 2.51 risk control strategies by 2024.
Conclusion
In conclusion, AI governance is growing quickly, with markets worldwide seeing significant expansion. By 2024, regions like Latin America will be leading in adopting AI data governance practices. North America and the European Union will be focused on creating strong policies to ensure AI is used ethically and safely.
The Asia-Pacific region, especially South Korea, is expected to experience high growth in AI governance, showing how important it is to regulate AI properly. As AI continues to develop, these efforts will be key to ensuring responsible AI use and its effective integration across different industries. We have shed enough light on AI Governance Statistics through this article.