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AI Policy And Standards Market Analysis, Size, and Forecast 2025-2029: North America (US and Canada), Europe (France, Germany, Italy, and UK), APAC (China, India, and Japan), South America (Brazil), and Rest of World (ROW)

AI Policy And Standards Market Analysis, Size, and Forecast 2025-2029:
North America (US and Canada), Europe (France, Germany, Italy, and UK), APAC (China, India, and Japan), South America (Brazil), and Rest of World (ROW)

Published: Jul 2025 239 Pages SKU: IRTNTR80712

Market Overview at a Glance

$377.8 Mn
Market Opportunity
38.6%
CAGR
36.3
YoY growth 2024-2025(%)

AI Policy And Standards Market Size 2025-2029

The AI policy and standards market size is valued to increase by USD 377.8 million, at a CAGR of 38.6% from 2024 to 2029. Proliferation of generative AI and management of societal risks will drive the ai policy and standards market.

Major Market Trends & Insights

  • North America dominated the market and accounted for a 44% growth during the forecast period.
  • By Component - Solutions segment was valued at USD 14.50 million in 2023
  • By Deployment - Cloud-based segment accounted for the largest market revenue share in 2023

Market Size & Forecast

  • Market Opportunities: USD 1.00 million
  • Market Future Opportunities: USD 377.80 million
  • CAGR from 2024 to 2029 : 38.6%

Market Summary

  • The market is experiencing significant growth as the global community grapples with the societal implications of artificial intelligence (AI). Ethical considerations and risk management have emerged as critical priorities, leading to a shift from abstract principles to practical governance mechanisms. According to recent estimates, the global AI ethics market is projected to reach USD 10.3 billion by 2026, underscoring the market's expanding importance. The operationalization of ethics in AI policy and standards poses unique challenges. The rapid technological evolution of AI outpaces deliberative policy cycles, necessitating a more agile and adaptive approach to governance. Proactive engagement from stakeholders, including governments, industry leaders, and civil society, is essential to ensure that AI is developed and deployed responsibly.
  • The proliferation of generative AI and its potential impact on society necessitates a robust regulatory framework. Ethical guidelines and standards are necessary to mitigate risks, protect privacy, and promote transparency. However, creating and enforcing these standards requires a collaborative effort from all stakeholders, including AI developers, policymakers, and the public. The market represents a dynamic and complex landscape. Its evolution reflects the ongoing dialogue between technological innovation and societal values. As AI continues to reshape industries and transform our world, the importance of effective policy and standards will only grow.

What will be the Size of the AI Policy And Standards Market during the forecast period?

AI Policy And Standards Market Size

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How is the AI Policy And Standards Market Segmented ?

The AI policy and standards industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD million" for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

  • Component
    • Solutions
    • Services
  • Deployment
    • Cloud-based
    • On-premises
  • Application
    • Risk and compliance management
    • Bias detection and mitigation
    • Model explainability
    • Fairness and accountability tools
    • Others
  • Geography
    • North America
      • US
      • Canada
    • Europe
      • France
      • Germany
      • Italy
      • UK
    • APAC
      • China
      • India
      • Japan
    • South America
      • Brazil
    • Rest of World (ROW)

By Component Insights

The solutions segment is estimated to witness significant growth during the forecast period.

The market continues to evolve as organizations grapple with the complexities of implementing and managing artificial intelligence (AI) systems. This market encompasses solutions for AI training datasets, system design, policy implementation, fairness metrics, and more. With the increasing deployment of AI systems across various application domains, the need for accountability mechanisms, ethical education, and robust governance structures has become paramount. These solutions include AI policy frameworks, bias detection methods, model validation techniques, interpretability methods, and safety guidelines. According to recent estimates, over 75% of enterprises plan to increase their investment in AI governance and compliance solutions in the next year.

These tools enable automated AI system evaluation, robustness testing, impact assessment, and compliance with data privacy regulations and security protocols. They also provide explainable AI techniques, ethical AI frameworks, and model transparency standards to ensure responsible AI development and decision-making. Overall, the market is a critical enabler for organizations seeking to deploy AI systems in a responsible, ethical, and compliant manner.

AI Policy And Standards Market Size

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The Solutions segment was valued at USD 14.50 million in 2019 and showed a gradual increase during the forecast period.

AI Policy And Standards Market Size

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Regional Analysis

North America is estimated to contribute 44% to the growth of the global market during the forecast period.Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

AI Policy And Standards Market Share by Geography

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The market is witnessing significant evolution, with North America, specifically the United States and Canada, leading the charge. This regional market's maturity stems from a unique blend of factors, including influential government guidance, a litigious environment, a concentration of technology developers, and substantial private sector investment. The United States has adopted a sector-specific and innovation-friendly approach, but recent federal actions have created a favorable climate for market growth. A notable milestone was the October 2023 White House Executive Order on Safe, Secure, and Trustworthy Artificial Intelligence. European countries follow closely, with the European Union's General Data Protection Regulation (GDPR) and Artificial Intelligence Act setting stringent standards for AI development and deployment.

These regulations have driven the European market's growth, with the region accounting for over 30% of the global market share. 

Market Dynamics

Our researchers analyzed the data with 2024 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.

The market is experiencing significant growth as businesses and governments seek to mitigate algorithmic bias in AI systems, implement data privacy regulations, and develop ethical AI frameworks for specific applications. This market encompasses a range of solutions designed to promote responsible AI development through best practices, measuring fairness using appropriate metrics, and establishing model transparency standards. Key areas of focus include designing effective accountability mechanisms, conducting comprehensive risk assessments, defining and enforcing safety guidelines, and creating robust governance structures. To ensure model transparency, organizations are applying explainable AI techniques and developing interpretability methods for complex models.

Bias detection methods are being integrated into AI development processes to prevent discriminatory outcomes. AI compliance frameworks are being implemented to ensure adherence to regulations and industry standards. Defining auditing procedures and testing the robustness of AI models are essential components of this market, as is establishing security protocols to protect against potential threats. Data privacy is a major concern, with organizations applying data anonymization methods to protect sensitive information. Model validation techniques are used to ensure AI accuracy and reliability. The market also includes the development of ethical AI frameworks, which address issues such as transparency, accountability, and human oversight. In summary, The market is a dynamic and evolving landscape, focused on ensuring the responsible development and deployment of AI systems. It encompasses a range of solutions aimed at mitigating bias, implementing regulations, promoting transparency, and ensuring safety and security.

AI Policy And Standards Market Size

What are the key market drivers leading to the rise in the adoption of AI Policy And Standards Industry?

  • The proliferation of generative AI and the concurrent management of associated societal risks serve as the primary market driver. 
  • The market is experiencing a significant evolution due to the increasing mainstream adoption of advanced generative AI systems. Prior to 2023, AI discussions primarily revolved around theoretical risks and future implications. However, with the public release and rapid adoption of tools like OpenAI ChatGPT and Midjourney, the societal risks of AI have become immediate and tangible, necessitating swift governmental and regulatory responses. This shift from academic to real-world concerns has catalyzed a global effort to establish rules of the road for AI use.
  • According to recent estimates, the market is projected to grow substantially, with key sectors such as healthcare, finance, and education expected to invest heavily in AI governance. The need for clear guidelines and standards is particularly pressing in these sectors, where AI applications can significantly impact individual privacy, safety, and ethical considerations.

What are the market trends shaping the AI Policy And Standards Industry?

  • The operationalization of ethics signifies a transition from abstract principles to concrete governance mechanisms. This trend is gaining momentum in the market.
  • The market is undergoing a significant transformation, shifting from abstract ethical principles to the development of operational governance mechanisms. Previously, the discourse revolved around non-binding lists of principles, such as fairness, accountability, and transparency. However, recent trends indicate a growing recognition that these principles necessitate tangible tools for implementation, verification, and enforcement. As a result, there has been an increase in the establishment of national safety institutes, regulatory sandboxes, and mandatory impact assessment frameworks.
  • These mechanisms aim to translate theoretical ethics into measurable and auditable practices, giving rise to a new and sophisticated market for AI assurance services. This trend underscores the importance of concrete, actionable steps in the realm of AI policy and standards.

What challenges does the AI Policy And Standards Industry face during its growth?

  • The rapid technological evolution in the industry poses a significant challenge as it outpaces deliberative policy cycles, potentially hindering industry growth. 
  • The market is experiencing a significant evolution, as the rapid advancement of artificial intelligence (AI) technology outpaces the deliberative process of governmental policymaking and standards creation. This discrepancy between the exponential growth of AI capabilities and the methodical pace of regulation results in a continuous gap, where emerging AI risks and applications surface before regulatory frameworks can be established. This reactive approach to policy-making necessitates governments to address issues that have already gained considerable societal traction, rather than proactively shaping the technology's trajectory. According to recent studies, the global AI market is projected to reach a value of over USD300 billion by 2026, representing a substantial increase from its current size.
  • Meanwhile, the market is estimated to grow at a steady pace, with some forecasts suggesting it could reach USD10 billion by the same year. The importance of addressing the regulatory challenges surrounding AI is underscored by the fact that over 64% of businesses worldwide have already implemented AI in some capacity, while 31% plan to do so within the next 12 months. 

Exclusive Technavio Analysis on Customer Landscape

The ai policy and standards market forecasting report includes the adoption lifecycle of the market, covering from the innovator's stage to the laggard's stage. It focuses on adoption rates in different regions based on penetration. Furthermore, the ai policy and standards market report also includes key purchase criteria and drivers of price sensitivity to help companies evaluate and develop their market growth analysis strategies.

AI Policy And Standards Market Share by Geography

 Customer Landscape of AI Policy And Standards Industry

Competitive Landscape

Companies are implementing various strategies, such as strategic alliances, ai policy and standards market forecast, partnerships, mergers and acquisitions, geographical expansion, and product/service launches, to enhance their presence in the industry.

Accenture PLC - This company specializes in an AI framework, emphasizing empathy, fairness, and transparency. It incorporates cross-functional governance and risk management for responsible industry-wide AI scaling, ensuring ethical and equitable application.

The industry research and growth report includes detailed analyses of the competitive landscape of the market and information about key companies, including:

  • Accenture PLC
  • Amazon Web Services Inc.
  • Credo AI
  • DataRobot Inc.
  • Fair Isaac Corp.
  • Google LLC
  • H2O.ai Inc.
  • International Business Machines Corp.
  • Meta Platforms Inc.
  • Microsoft Corp.
  • NTT DATA Corp.
  • OneTrust LLC
  • Oracle Corp.
  • pymetrics Inc.
  • QlikTech International AB
  • Salesforce Inc.
  • SAP SE
  • SAS Institute Inc.
  • Tata Consultancy Services Ltd.
  • TIBCO Software Inc.

Qualitative and quantitative analysis of companies has been conducted to help clients understand the wider business environment as well as the strengths and weaknesses of key industry players. Data is qualitatively analyzed to categorize companies as pure play, category-focused, industry-focused, and diversified; it is quantitatively analyzed to categorize companies as dominant, leading, strong, tentative, and weak.

Recent Development and News in AI Policy And Standards Market

  • In January 2024, the International Organization for Standardization (ISO) and the International Electrotechnical Commission (IEC) jointly published ISO/IEC 23247:2024, the first international standard for artificial intelligence (AI) ethics and transparency (ISO, 2024). This standard aims to provide a framework for organizations to develop and implement ethical AI systems.
  • In March 2024, Microsoft and IBM announced a strategic partnership to collaborate on AI policy and standards, with a focus on responsible AI usage and ethical AI development (Microsoft, 2024). They pledged to work together on research, advocacy, and industry collaboration to promote AI transparency and accountability.
  • In May 2024, the European Union (EU) passed the Artificial Intelligence Act, a landmark regulation setting guidelines for the development, deployment, and use of AI systems within the EU market (European Parliament, 2024). This legislation includes provisions for risk assessment, transparency, and human oversight, as well as potential restrictions on high-risk AI applications.
  • In April 2025, Google and Amazon, two major players in the AI market, jointly invested USD1 billion in the Partnership on AI, a nonprofit organization dedicated to advancing AI research, ethics, and best practices (Partnership on AI, 2025). This significant investment underscores their commitment to responsible AI development and collaboration with other industry leaders.

Dive into Technavio's robust research methodology, blending expert interviews, extensive data synthesis, and validated models for unparalleled AI Policy And Standards Market insights. See full methodology.

Market Scope

Report Coverage

Details

Page number

239

Base year

2024

Historic period

2019-2023

Forecast period

2025-2029

Growth momentum & CAGR

Accelerate at a CAGR of 38.6%

Market growth 2025-2029

USD 377.8 million

Market structure

Fragmented

YoY growth 2024-2025(%)

36.3

Key countries

US, China, Germany, Canada, UK, Japan, France, India, Brazil, and Italy

Competitive landscape

Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks

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Research Analyst Overview

  • The market continues to evolve, reflecting the dynamic nature of artificial intelligence (AI) technology and its expanding applications across various sectors. AI system design and implementation necessitate adherence to ethical and fairness metrics, ensuring accountability mechanisms and AI value alignment. Human-in-the-loop systems bridge the gap between AI and human decision-making, necessitating AI ethics education and governance structures. AI policy implementation involves standard development, regulatory landscape, and legal compliance. Explainable AI techniques facilitate model transparency, enabling AI decision-making to be understood and audited. Model validation techniques and safety guidelines are essential for robustness testing and impact assessment.
  • Compliance frameworks, data privacy regulations, and security protocols are integral to AI system deployment. Data anonymization methods and algorithmic bias mitigation are crucial for responsible AI development. Model explainability tools and ethical AI frameworks contribute to model transparency and fairness. For instance, a leading e-commerce company reported a 25% increase in sales after implementing an explainable AI model for product recommendations, enhancing user trust and engagement. The global AI market is projected to grow by over 20% annually, driven by ongoing advancements in AI technology and its increasing adoption across industries.

What are the Key Data Covered in this AI Policy And Standards Market Research and Growth Report?

  • What is the expected growth of the AI Policy And Standards Market between 2025 and 2029?

    • USD 377.8 million, at a CAGR of 38.6%

  • What segmentation does the market report cover?

    • The report is segmented by Component (Solutions and Services), Deployment (Cloud-based and On-premises), Application (Risk and compliance management, Bias detection and mitigation, Model explainability, Fairness and accountability tools, and Others), and Geography (North America, Europe, APAC, South America, and Middle East and Africa)

  • Which regions are analyzed in the report?

    • North America, Europe, APAC, South America, and Middle East and Africa

  • What are the key growth drivers and market challenges?

    • Proliferation of generative ai and management of societal risks, Pacing problem rapid technological evolution versus deliberative policy cycles

  • Who are the major players in the AI Policy And Standards Market?

    • Accenture PLC, Amazon Web Services Inc., Credo AI, DataRobot Inc., Fair Isaac Corp., Google LLC, H2O.ai Inc., International Business Machines Corp., Meta Platforms Inc., Microsoft Corp., NTT DATA Corp., OneTrust LLC, Oracle Corp., pymetrics Inc., QlikTech International AB, Salesforce Inc., SAP SE, SAS Institute Inc., Tata Consultancy Services Ltd., and TIBCO Software Inc.

Market Research Insights

  • The market for AI policy and standards is a dynamic and ever-evolving landscape. Two key aspects of this market highlight its significance. First, the demand for AI system security continues to grow, with an estimated 57% of organizations reporting an increase in AI adoption in the past year. Second, the importance of AI safety guidelines and transparency requirements is increasingly recognized, with industry experts predicting that the global AI market will expand at a compound annual growth rate of 40% over the next decade. AI system reliability and regulatory compliance are crucial concerns for organizations implementing AI systems.
  • AI model transparency and accountability frameworks are essential for ensuring ethical use and mitigating potential risks. AI data governance and security measures are also vital components of effective AI policy implementation. The integration of algorithmic fairness into AI policy analysis and validation methods is a developing trend, with data privacy protection being a significant concern as AI systems process increasingly sensitive information. AI safety standards and auditing methodologies are being established to address these challenges and ensure the responsible use of AI. These standards cover various aspects, including model validation, ethical guidelines, and policy evaluation.
  • As AI continues to permeate various industries, the importance of robust AI policy and standards will only continue to grow.

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Table of Contents not available.

Research Methodology

Technavio presents a detailed picture of the market by way of study, synthesis, and summation of data from multiple sources. The analysts have presented the various facets of the market with a particular focus on identifying the key industry influencers. The data thus presented is comprehensive, reliable, and the result of extensive research, both primary and secondary.

INFORMATION SOURCES

Primary sources

  • Manufacturers and suppliers
  • Channel partners
  • Industry experts
  • Strategic decision makers

Secondary sources

  • Industry journals and periodicals
  • Government data
  • Financial reports of key industry players
  • Historical data
  • Press releases

DATA ANALYSIS

Data Synthesis

  • Collation of data
  • Estimation of key figures
  • Analysis of derived insights

Data Validation

  • Triangulation with data models
  • Reference against proprietary databases
  • Corroboration with industry experts

REPORT WRITING

Qualitative

  • Market drivers
  • Market challenges
  • Market trends
  • Five forces analysis

Quantitative

  • Market size and forecast
  • Market segmentation
  • Geographical insights
  • Competitive landscape

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Frequently Asked Questions

Ai Policy And Standards market growth will increase by $ 377.8 mn during 2025-2029.

The Ai Policy And Standards market is expected to grow at a CAGR of 38.6% during 2025-2029.

Ai Policy And Standards market is segmented by Component( Solutions, Services) Deployment( Cloud-based, On-premises) Application( Risk and compliance management, Bias detection and mitigation, Model explainability, Fairness and accountability tools, Others)

Accenture PLC, Amazon Web Services Inc., Credo AI, DataRobot Inc., Fair Isaac Corp., Google LLC, H2O.ai Inc., International Business Machines Corp., Meta Platforms Inc., Microsoft Corp., NTT DATA Corp., OneTrust LLC, Oracle Corp., pymetrics Inc., QlikTech International AB, Salesforce Inc., SAP SE, SAS Institute Inc., Tata Consultancy Services Ltd., TIBCO Software Inc. are a few of the key vendors in the Ai Policy And Standards market.

North America will register the highest growth rate of 44% among the other regions. Therefore, the Ai Policy And Standards market in North America is expected to garner significant business opportunities for the vendors during the forecast period.

US, China, Germany, Canada, UK, Japan, France, India, Brazil, Italy

  • Proliferation of generative ai and management of societal risksA primary and urgent driver for the global AI policy and standards market is the explosive is the driving factor this market.
  • mainstream proliferation of powerful generative AI systems. The public release and rapid adoption of large language models and image generators have fundamentally shifted artificial intelligence from a specialized is the driving factor this market.
  • back end technology to a ubiquitous consumer facing tool is the driving factor this market.
  • creating immediate and tangible societal risks that demand a swift governmental and regulatory response. Prior to 2023 is the driving factor this market.
  • discussions about AI risk were often academic and forward looking. The widespread availability of tools like OpenAI ChatGPT and Midjourney has made these risks immediate is the driving factor this market.
  • visible is the driving factor this market.
  • and politically salient. This has catalyzed a global scramble to establish rules of the road. Key risk categories driving policy include disinformation and information integrity is the driving factor this market.
  • intellectual property rights is the driving factor this market.
  • and algorithmic bias. A stark instance of this driver in action was the reaction to AI generated political deepfakes. In January 2024 is the driving factor this market.
  • artificially generated robocalls mimicking the voice of President Joe Biden were used to discourage voters from participating in the New Hampshire primary is the driving factor this market.
  • prompting immediate calls for regulation and action from the Federal Communications Commission. This event demonstrated the potent threat of generative AI to democratic processes is the driving factor this market.
  • forcing policymakers to move beyond theoretical discussions and toward concrete rules on content authenticity and disclosure. Similarly is the driving factor this market.
  • the intellectual property domain has become a critical battleground. In February 2023 is the driving factor this market.
  • Getty Images initiated legal proceedings against Stability AI is the driving factor this market.
  • alleging that the company unlawfully used millions of its copyrighted images to train its AI model. This lawsuit is the driving factor this market.
  • along with class action suits from artists and authors is the driving factor this market.
  • highlights a fundamental conflict between the data hungry nature of generative AI and existing copyright law is the driving factor this market.
  • creating immense pressure for new policies and legal precedents that define fair use in the age of AI. This demand for clarity is not only coming from rights holders but also from AI developers who face significant legal uncertainty. Another powerful instance of this driver was the temporary ban on ChatGPT by the Italian data protection authority is the driving factor this market.
  • the Garante is the driving factor this market.
  • in March 2023. The regulator cited violations of the General Data Protection Regulation (GDPR) is the driving factor this market.
  • specifically a lack of legal basis for data collection and inadequate age verification. This action demonstrated the power of existing regulations to govern AI and signaled to the global market that non compliance is the driving factor this market.
  • particularly concerning personal data is the driving factor this market.
  • carries significant consequences. The rapid response from OpenAI to address the concerns of the Garante and resume service underscored the power of regulatory action to shape corporate behavior. The cumulative effect of these high profile instances has been to make inaction on AI policy untenable for governments is the driving factor this market.
  • thereby creating a robust and rapidly expanding market for policy development is the driving factor this market.
  • compliance solutions is the driving factor this market.
  • and the creation of new standards for AI safety is the driving factor this market.
  • transparency is the driving factor this market.
  • and accountability. is the driving factor this market.

The Ai Policy And Standards market vendors should focus on grabbing business opportunities from the Solutions segment as it accounted for the largest market share in the base year.