세계의 AI 구동형 정책 및 거버넌스 에이전트 시장 보고서(2025년)
AI-driven Policy And Governance Agents Global Market Report 2025
상품코드 : 1760033
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 175 Pages
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한글목차

AI 구동형 정책 및 거버넌스 에이전트 시장 규모는 향후 수년간 비약적인 성장이 예상됩니다. 2029년에는 CAGR 39.8%를 나타내 103억 1,000만 달러로 성장할 전망입니다. 예측기간의 성장은 정부에 의한 AI 채용 확대, 사회문제에 대한 AI 활용에 대한 관심 증가, 거버넌스의 예측 분석에 대한 AI의 이용 확대, 행정의 효율화 요구 증가, AI의 편향에 대한 우려 증가에 기인할 것으로 예측됩니다. 이 기간에 예상되는 주요 동향으로는 자동 규정 준수 모니터링, AI 구동형 리스크 스코어링, 블록체인 기술과의 통합, AI가 지원하는 의사 결정 시스템, AI에 의해 강화되는 예측 분석 등이 있습니다.

다양한 분야에서의 AI 기술의 채용 확대가 AI 구동형 정책 및 거버넌스 에이전트 시장의 확대를 촉진할 것으로 예측됩니다. AI 기술에는 학습, 추론, 문제 해결, 지각, 언어 이해 등과 같이 인간의 지능이 필요한 작업을 기계에 수행하는 고급 계산 기법과 시스템이 포함됩니다. 이러한 광범위한 채용은 효율성을 개선하고 복잡한 프로세스를 자동화하며 업계 전반에 걸쳐 가치 있는 인사이트를 창출하는 AI의 능력에 의해 촉진되고 있습니다. 이러한 기술은 실시간 데이터 분석, 예측 모델링 및 자동화된 의사 결정을 가능하게 함으로써 AI 구동형 정책 및 거버넌스 에이전트를 지원하여 규제 및 행정 시스템의 투명성, 대응성 및 효율성을 향상시킵니다. 예를 들어, 2025년 2월 영국에 본사를 둔 경제 개발 조직인 OxLEP Business는 2023년까지 영국의 약 43만 2,000개 기업(전체의 약 15%)이 AI 기술 도입에 성공했다고 보고했습니다. 이와 같이, 분야 횡단적인 AI의 통합이 진행되고 있는 것이, AI 구동형 정책 및 거버넌스 에이전트 시장의 추진력이 되고 있습니다.

AI 구동형 정책 및 거버넌스 에이전트 시장의 주요 기업은 종합적인 AI 거버넌스 솔루션 등의 기술 혁신을 우선하고 규제 준수 개선, 윤리적인 AI 실천, 조직 기능 전체의 리스크 관리의 합리화를 도모하고 있습니다. 운영 위험을 감독하는 통합 프레임워크로 조직 내 개발, 배포 및 지속적인 사용을 다룹니다. 예를 들어, 2023년 3월, 미국에 본사를 둔 소프트웨어 회사인 원트러스트는 조직이 AI 관련 위험을 관리할 수 있도록 설계된 솔루션인 원트러스트 인공 지능(AI) 거버넌스를 도입했습니다. 이 솔루션은 AI 모델에 의해 생성되는 데이터 사용 및 위험에 대한 가시성과 통제를 강화하고, 규정 준수 팀과 데이터 사이언스자가 데이터 분류를 이해하고, 위험을 평가하고, 윤리적인 AI 활용을 보장하면서 진화하는 세계 규제에 대한 규정 준수를 유지할 수 있습니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 - 금리, 인플레이션, 지정학, 무역전쟁과 관세, 코로나 및 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계의 성장 분석과 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별/국가별 분석

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도와 기업 프로파일

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 부문, 전략

제36장 부록

KTH
영문 목차

영문목차

AI-driven policy and governance agents are intelligent systems that support the development, execution, monitoring, and compliance of organizational or governmental policies through the use of artificial intelligence technologies. These systems are intended to improve decision-making, ensure adherence to regulations, and enhance the efficiency, transparency, and flexibility of governance structures.

The primary component categories of AI-driven policy and governance agents include software and services. The software component utilizes artificial intelligence to automate, refine, and enforce policy development, compliance, and decision-making processes within organizations, promoting ethical, transparent, and efficient governance. These solutions can be deployed either on-premises or via cloud-based platforms. They are adopted by businesses of various sizes, including large enterprises and small and medium-sized enterprises. Key functionalities offered include AI-enhanced regulatory compliance, AI-supported policy development and decision-making, and AI-based risk assessment and monitoring. Major industries utilizing these systems include banking, financial services, and insurance (BFSI), government and public sector, healthcare and life sciences, energy and utilities, retail and e-commerce, manufacturing, and information technology and telecommunications.

The AI-driven policy and governance agents market research report is one of a series of new reports from The Business Research Company that provides AI-driven policy and governance agents market statistics, including the AI-driven policy and governance agents industry global market size, regional shares, competitors with the AI-driven policy and governance agents market share, detailed AI-driven policy and governance agents market segments, market trends, and opportunities, and any further data you may need to thrive in the AI-driven policy and governance agents industry. This AI-driven policy and governance agents market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The AI-driven policy and governance agents market size has grown exponentially in recent years. It will grow from $1.93 billion in 2024 to $2.70 billion in 2025 at a compound annual growth rate (CAGR) of 40.1%. The growth during the historical period can be attributed to the increasing adoption of AI across various industries, heightened concerns over data privacy, a rising demand for automation in compliance monitoring, increasing data complexity, and a greater need for transparent and accountable governance practices.

The AI-driven policy and governance agents market size is expected to see exponential growth in the next few years. It will grow to $10.31 billion in 2029 at a compound annual growth rate (CAGR) of 39.8%. The growth in the forecast period is expected to result from the expanding adoption of AI by governments, a growing interest in leveraging AI to tackle societal issues, increased use of AI for predictive analytics in governance, the rising demand for efficiency in public administration, and escalating concerns regarding biases in AI. Key trends anticipated during this period include automated compliance monitoring, AI-driven risk scoring, integration with blockchain technologies, AI-supported decision-making systems, and predictive analytics enhanced by AI.

The growing adoption of AI technologies across various sectors is expected to drive the expansion of the AI-driven policy and governance agents market. AI technologies encompass advanced computational methods and systems that allow machines to perform tasks typically requiring human intelligence, including learning, reasoning, problem-solving, perception, and language comprehension. This widespread adoption is fueled by AI's ability to improve efficiency, automate complex processes, and generate valuable insights across industries. These technologies support AI-driven policy and governance agents by enabling real-time data analysis, predictive modeling, and automated decision-making, which enhance transparency, responsiveness, and efficiency within regulatory and public administration systems. For example, in February 2025, OxLEP Business, a UK-based economic development organization, reported that by 2023, approximately 432,000 businesses in the UK-about 15% of the total-had successfully implemented AI technologies into their operations. As such, the increasing integration of AI across sectors is set to propel the AI-driven policy and governance agents market.

Leading companies in the AI-driven policy and governance agents market are prioritizing technological innovations such as comprehensive AI governance solutions to improve regulatory compliance, ensure ethical AI practices, and streamline risk management throughout organizational functions. A comprehensive AI governance solution is a unified framework that oversees the ethical, legal, and operational risks of artificial intelligence, covering its development, deployment, and ongoing use within an organization. For instance, in March 2023, OneTrust, a US-based software firm, introduced OneTrust Artificial Intelligence (AI) Governance, a solution designed to help organizations manage AI-related risks. It provides greater visibility and control over data usage and risks generated by AI models, enabling compliance teams and data scientists to understand data classification, evaluate risks, and maintain compliance with evolving global regulations while ensuring ethical AI use.

In January 2025, Etisalat Group (e&), a UAE-based technology and investment firm, partnered with IBM to implement a comprehensive AI and generative AI governance solution. The collaboration is aimed at creating a strong framework for transparent and accountable AI deployment. IBM is a US-based technology company specializing in artificial intelligence and enterprise solutions.

Major players in the AI-driven policy and governance agents market are Google LLC, Microsoft Corporation, Amazon Web Services Inc., Siemens SA, Accenture, IBM Corporation, Oracle Corporation, SAP SE, Tata Consultancy Services Limited, Salesforce.com Inc., NTT Data Corporation, Infosys Limited, DXC Technology Company, SAS Institute Inc., Informatica LLC, Fair Isaac Corporation (FICO), OneTrust LLC, Kore.ai Inc., H2O.ai Inc., DarwinAI Corp., Truera Inc., Credo AI Inc.

North America was the largest region in the AI-driven policy and governance agents market in 2024. The regions covered in AI-driven policy and governance agents report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the AI-driven policy and governance agents market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The AI-driven policy and governance agents market consists of revenues earned by entities by providing services such as automated compliance monitoring, predictive analytics, and data privacy and security. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI-driven policy and governance agents market also includes sales of AI governance platforms, policy automation tools, ethical AI frameworks, and smart contract governance systems. Values in this market are 'factory gate' values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values and are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

AI-driven Policy And Governance Agents Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on ai-driven policy and governance agents market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Where is the largest and fastest growing market for ai-driven policy and governance agents ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The ai-driven policy and governance agents market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

Scope

Table of Contents

1. Executive Summary

2. AI-driven Policy And Governance Agents Market Characteristics

3. AI-driven Policy And Governance Agents Market Trends And Strategies

4. AI-driven Policy And Governance Agents Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

5. Global AI-driven Policy And Governance Agents Growth Analysis And Strategic Analysis Framework

6. AI-driven Policy And Governance Agents Market Segmentation

7. AI-driven Policy And Governance Agents Market Regional And Country Analysis

8. Asia-Pacific AI-driven Policy And Governance Agents Market

9. China AI-driven Policy And Governance Agents Market

10. India AI-driven Policy And Governance Agents Market

11. Japan AI-driven Policy And Governance Agents Market

12. Australia AI-driven Policy And Governance Agents Market

13. Indonesia AI-driven Policy And Governance Agents Market

14. South Korea AI-driven Policy And Governance Agents Market

15. Western Europe AI-driven Policy And Governance Agents Market

16. UK AI-driven Policy And Governance Agents Market

17. Germany AI-driven Policy And Governance Agents Market

18. France AI-driven Policy And Governance Agents Market

19. Italy AI-driven Policy And Governance Agents Market

20. Spain AI-driven Policy And Governance Agents Market

21. Eastern Europe AI-driven Policy And Governance Agents Market

22. Russia AI-driven Policy And Governance Agents Market

23. North America AI-driven Policy And Governance Agents Market

24. USA AI-driven Policy And Governance Agents Market

25. Canada AI-driven Policy And Governance Agents Market

26. South America AI-driven Policy And Governance Agents Market

27. Brazil AI-driven Policy And Governance Agents Market

28. Middle East AI-driven Policy And Governance Agents Market

29. Africa AI-driven Policy And Governance Agents Market

30. AI-driven Policy And Governance Agents Market Competitive Landscape And Company Profiles

31. AI-driven Policy And Governance Agents Market Other Major And Innovative Companies

32. Global AI-driven Policy And Governance Agents Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The AI-driven Policy And Governance Agents Market

34. Recent Developments In The AI-driven Policy And Governance Agents Market

35. AI-driven Policy And Governance Agents Market High Potential Countries, Segments and Strategies

36. Appendix

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