세계의 거버넌스용 인공지능 시장 : 부문별 예측(2025-2030년)

The Artificial Intelligence in Governance Market was valued at USD 158.21 million in 2023, expected to reach USD 225.57 million in 2024, and is projected to grow at a CAGR of 42.66%, to USD 1,903.25 million by 2030.

Artificial Intelligence (AI) in governance refers to the application of AI technologies to enhance governmental operations, decision-making processes, and public service delivery. The necessity for AI in governance arises from the need to increase efficiency, reduce human error, and process vast amounts of data to draw actionable insights. Its applications include predictive analytics for policy-making, automating administrative tasks, enhancing cybersecurity, and improving citizen engagement through chatbots and personalized services. Key end-use sectors include local and federal governments, defense, law enforcement, and public health agencies. Market growth is influenced by advancements in AI technology, increased adoption of cloud computing, the growing need for transparency and efficiency in governance, and regulatory support. Potential opportunities lie in developing AI solutions tailored to government-specific needs, such as smart cities, AI-driven policy simulation, and digital public services. The market can capitalize on these opportunities by investing in research and forging partnerships with AI technology firms. However, challenges such as data privacy concerns, high implementation costs, resistance to change, and the need for skilled personnel can hinder growth. Additionally, ethical considerations and potential biases in AI systems pose significant limitations. To overcome these challenges, the field can focus on developing robust data governance frameworks, enhancing transparency in AI algorithms, and conducting bias and impact assessments. Innovations might include advancements in natural language processing for policy formulation, AI-powered compliance management systems, and predictive models for crisis management. Companies should also explore collaborations with academic and research institutions to drive breakthrough developments. The nature of the AI in governance market is dynamic, with rapid technological changes and varying regional adoption rates necessitating continuous adaptation. Emphasizing public-private collaborations, ethical AI deployment, and designing citizen-focused solutions can stimulate substantial growth in this evolving sector.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Artificial Intelligence in Governance Market

The Artificial Intelligence in Governance Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

• Market Drivers
  • Increasing demand for transparency in corporate decisions
  • Government initiatives to promote the use of artificial intelligence
  • Growing adoption of AI in retail sector to enhance operational efficiency
• Market Restraints
  • High costs associated with development and deployment of AI
• Market Opportunities
  • Emerging investments in developing advanced AI tools
  • Development of smart hospitals and higher potential of AI in healthcare governance
• Market Challenges
  • Data security issues associated with AI in governance

Porter's Five Forces: A Strategic Tool for Navigating the Artificial Intelligence in Governance Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Artificial Intelligence in Governance Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Artificial Intelligence in Governance Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Artificial Intelligence in Governance Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Artificial Intelligence in Governance Market

A detailed market share analysis in the Artificial Intelligence in Governance Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Artificial Intelligence in Governance Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Artificial Intelligence in Governance Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Artificial Intelligence in Governance Market

A strategic analysis of the Artificial Intelligence in Governance Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Artificial Intelligence in Governance Market, highlighting leading vendors and their innovative profiles. These include Accenture PLC, Alphabet Inc., Amazon Web Services, Inc., Ataccama Corp., Dataiku, DataRobot, Inc., Diveplane, FICO Analytics, Fiddler Labs, Inc., Guy Carpenter & Company, LLC, H2O.ai, Inc., Informatica Inc., Integrate.ai Inc., Intel Corporation, International Business Machines Corporation, Marsh & McLennan Companies, Inc., Meta Platforms, Inc., Microsoft Corporation, Quik Tech Solutions L.L.C, Salesforce.com, Inc., SAP SE, SAS Institute Inc., Sparkcognition, Inc., TIBCO Software Inc., and Truera, Inc..

Market Segmentation & Coverage

This research report categorizes the Artificial Intelligence in Governance Market to forecast the revenues and analyze trends in each of the following sub-markets:

• Based on Component, market is studied across Services and Solutions. The Services is further studied across Consulting, Integration, and Support & Maintenance. The Solutions is further studied across Platform and Software Tools.
• Based on Organization Size, market is studied across Large Enterprises and Small & Medium-Sized Enterprises.
• Based on Deployment, market is studied across Cloud and On-Premises.
• Based on Vertical, market is studied across Automotive, Banking, Financial Services & Insurance, Government & Defense, Healthcare & Life Sciences, IT & Telecom, Media & Entertainment, and Retail.
• Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Increasing demand for transparency in corporate decisions
    • 5.1.1.2. Government initiatives to promote the use of artificial intelligence
    • 5.1.1.3. Growing adoption of AI in retail sector to enhance operational efficiency
  • 5.1.2. Restraints
    • 5.1.2.1. High costs associated with development and deployment of AI
  • 5.1.3. Opportunities
    • 5.1.3.1. Emerging investments in developing advanced AI tools
    • 5.1.3.2. Development of smart hospitals and higher potential of AI in healthcare governance
  • 5.1.4. Challenges
    • 5.1.4.1. Data security issues associated with AI in governance
• 5.2. Market Segmentation Analysis
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental

6. Artificial Intelligence in Governance Market, by Component

• 6.1. Introduction
• 6.2. Services
  • 6.2.1. Consulting
  • 6.2.2. Integration
  • 6.2.3. Support & Maintenance
• 6.3. Solutions
  • 6.3.1. Platform
  • 6.3.2. Software Tools

7. Artificial Intelligence in Governance Market, by Organization Size

• 7.1. Introduction
• 7.2. Large Enterprises
• 7.3. Small & Medium-Sized Enterprises

8. Artificial Intelligence in Governance Market, by Deployment

• 8.1. Introduction
• 8.2. Cloud
• 8.3. On-Premises

9. Artificial Intelligence in Governance Market, by Vertical

• 9.1. Introduction
• 9.2. Automotive
• 9.3. Banking, Financial Services & Insurance
• 9.4. Government & Defense
• 9.5. Healthcare & Life Sciences
• 9.6. IT & Telecom
• 9.7. Media & Entertainment
• 9.8. Retail

10. Americas Artificial Intelligence in Governance Market

• 10.1. Introduction
• 10.2. Argentina
• 10.3. Brazil
• 10.4. Canada
• 10.5. Mexico
• 10.6. United States

11. Asia-Pacific Artificial Intelligence in Governance Market

• 11.1. Introduction
• 11.2. Australia
• 11.3. China
• 11.4. India
• 11.5. Indonesia
• 11.6. Japan
• 11.7. Malaysia
• 11.8. Philippines
• 11.9. Singapore
• 11.10. South Korea
• 11.11. Taiwan
• 11.12. Thailand
• 11.13. Vietnam

12. Europe, Middle East & Africa Artificial Intelligence in Governance Market

• 12.1. Introduction
• 12.2. Denmark
• 12.3. Egypt
• 12.4. Finland
• 12.5. France
• 12.6. Germany
• 12.7. Israel
• 12.8. Italy
• 12.9. Netherlands
• 12.10. Nigeria
• 12.11. Norway
• 12.12. Poland
• 12.13. Qatar
• 12.14. Russia
• 12.15. Saudi Arabia
• 12.16. South Africa
• 12.17. Spain
• 12.18. Sweden
• 12.19. Switzerland
• 12.20. Turkey
• 12.21. United Arab Emirates
• 12.22. United Kingdom

13. Competitive Landscape

• 13.1. Market Share Analysis, 2023
• 13.2. FPNV Positioning Matrix, 2023
• 13.3. Competitive Scenario Analysis
• 13.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. Accenture PLC
• 2. Alphabet Inc.
• 3. Amazon Web Services, Inc.
• 4. Ataccama Corp.
• 5. Dataiku
• 6. DataRobot, Inc.
• 7. Diveplane
• 8. FICO Analytics
• 9. Fiddler Labs, Inc.
• 10. Guy Carpenter & Company, LLC
• 11. H2O.ai, Inc.
• 12. Informatica Inc.
• 13. Integrate.ai Inc.
• 14. Intel Corporation
• 15. International Business Machines Corporation
• 16. Marsh & McLennan Companies, Inc.
• 17. Meta Platforms, Inc.
• 18. Microsoft Corporation
• 19. Quik Tech Solutions L.L.C
• 20. Salesforce.com, Inc.
• 21. SAP SE
• 22. SAS Institute Inc.
• 23. Sparkcognition, Inc.
• 24. TIBCO Software Inc.
• 25. Truera, Inc.