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AI in Government and Public Services Market

AI in Government and Public Services Market Size, Share & Trends Analysis Report By Type (Machine Learning, Natural Language Processing (NLP), Computer Vision, Robotic Process Automation (RPA), Expert Systems, Others), By Application, By Deployment Mode. By End-User, By Region, And By Segment Forecasts, 2024-2031

Report ID : 2749 | Published : 2024-10-21 | Pages: 180 | Format: PDF/EXCEL

The AI in Government and Public Services Market Size is valued at USD 19.2 billion in 2023 and is predicted to reach USD 59.6 billion by the year 2031 at a 15.8% CAGR during the forecast period for 2024-2031.

ai in govt

Artificial Intelligence (AI) in government and public services is revolutionizing how governments operate and deliver services to citizens. AI can streamline administrative tasks, enhance decision-making through data analysis, and improve resource allocation. In public services, AI-powered chatbots and virtual assistants enhance citizen engagement by providing instant responses to queries and delivering services more efficiently. AI is also used in areas such as public safety, traffic management, and infrastructure maintenance, where predictive analytics help anticipate issues and optimize operations. Additionally, AI can be employed for fraud detection, cybersecurity, and policy planning, improving transparency and effectiveness in governance. Overall, AI fosters smarter, more efficient public services and governance, benefiting both citizens and governments.

Moreover, the growth of AI in government and public services in this sector is being driven by government initiatives and investments in digital transformation. In addition, the market is anticipated to be propelled by increased government investments in research and development to optimize better service processes.

However, the market growth is hindered by obstacles such as data privacy worries, expensive implementation expenses, a shortage of trained AI experts, and problems with regulation and compliance. Several variables can hinder adoption in this market. Global markets expanded during the coming years due to technological developments, widespread adoption of digital platforms, and enhanced government operations cybersecurity by detecting and responding to threats.

Competitive Landscape

Some Major Key Players In The AI in Government and Public Services Market:

  • IBM Corporation
  • Microsoft Corporation
  • Google LLC
  • Amazon Web Services, Inc.
  • Accenture PLC
  • Deloitte Touche Tohmatsu Limited
  • SAP SE
  • Oracle Corporation
  • NVIDIA Corporation
  • Intel Corporation
  • Adobe Inc.
  • Palantir Technologies Inc.
  • OpenText Corporation
  • SAS Institute Inc.
  • Cognizant Technology Solutions Corporation
  • Genpact Limited
  • Infosys Limited
  • Capgemini SE
  • TCS (Tata Consultancy Services) Limited
  • CGI Inc.
  • Wipro Limited
  • DXC Technology Company
  • PwC (PricewaterhouseCoopers) LLP
  • KPMG International Cooperative
  • HCL Technologies Limited
  • Other Market Players

Market Segmentation:

The AI in the government and public services market is segmented as per the type, application, deployment mode, and end-user. Based on type, the market is segmented into machine learning, computer vision, natural language processing (NLP), robotic process automation (RPA), expert systems, and others. By application, the market is segmented into administrative services, healthcare, law enforcement and public safety, transportation and urban planning, social services, environmental management, tax and revenue management, defense and national security, education, and others. According to the deployment mode, the market is segmented into cloud-based and on-premises. By end-users, the market is segmented into government agencies and public services organizations.

Based On The Type, The Robotic Process Automation Segment Is Accounted As A Major Contributor To AI In The Government And Public Services Market.

The robotic process automation AI in the government and public services market is expected to hold a major global market share in 2023 because it can automate mundane jobs, which in turn improves efficiency and conserves a lot of money. Reduced human error, streamlined administrative processes, and improved service delivery are all benefits of robotic process automation. Additionally, government processes are being modernized with the help of robotic process automation, which is driven by the need to handle increasing data quantities, the requirement for digital transformation, and the industry's overall market growth.

Government Agencies Segment To Witness Growth At A Rapid Rate.

The government agencies category is projected to grow rapidly in the global AI in the government and public services market. Better citizen services, data-driven decision-making, and efficiency are becoming more important. With the help of AI, operational capabilities are improved, everyday tasks are automated, and predictive analytics are made possible. The growth of this market segment is also being propelled by government programs that encourage digital transformation and investments in artificial intelligence technologies.

In The Region, The North American AI In Government And Public Services Market Holds A Significant Revenue Share.

The North American AI in the government and public services market is expected to document the highest market revenue share. This is because there is a strong emphasis on innovation and digital transformation efforts, a well-developed technical infrastructure, substantial government funding for AI, and favorable regulations. In addition, Europe is likely to grow rapidly in the AI in government and public services market because the use of artificial intelligence to improve the effectiveness of public services, rising government programs, growing funding levels, and the trend toward digitalization will boost the market's growth.

Recent Developments:

  • In April 2024, The Government of Spain, via its Ministry for Digital Transformation, the Civil Service, and IBM, has executed a Memorandum of Understanding (MoU) to enhance collaboration in Artificial Intelligence (AI) and AI supercomputing. This initiative aims to advance the development and practical implementation of open, ethical, and responsible generative AI in Spain, while sharing a vision to establish a premier suite of foundation models, encompassing both large language models (LLMs) and small language models (SLMs), proficient in Spanish and co-official languages.

AI in Government and Public Services Market Report Scope

Report Attribute

Specifications

Market Size Value In 2023

USD 19.2 Bn

Revenue Forecast In 2031

USD 59.6 Bn

Growth Rate CAGR

CAGR of 15.8% from 2024 to 2031

Quantitative Units

Representation of revenue in US$ Bn and CAGR from 2024 to 2031

Historic Year

2019 to 2023

Forecast Year

2024-2031

Report Coverage

The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends

Segments Covered

By Type, Application, End-User, Deployment Mode

Regional Scope

North America; Europe; Asia Pacific; Latin America; Middle East & Africa

Country Scope

U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; France; Italy; Spain; South East Asia; South Korea

Competitive Landscape

IBM Corporation, Microsoft Corporation, Amazon Web Services (AWS), Google LLC, Accenture PLC, Palantir Technologies Inc., SAS Institute Inc., Oracle Corporation Com, Inc., Deloitte Touche Tohmatsu Limited, SAP SE, NVIDIA Corporation, Other Prominent Players.

Customization Scope

Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape.

Pricing And Available Payment Methods

Explore pricing alternatives that are customized to your particular study requirements.

Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global AI in Government and Public Services Market Snapshot

Chapter 4. Global AI in Government and Public Services Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Industry Analysis – Porter’s Five Forces Analysis
4.7. Competitive Landscape & Market Share Analysis
4.8. Impact of Covid-19 Analysis

Chapter 5. Market Segmentation 1: by Type Estimates & Trend Analysis
5.1. by Type & Market Share, 2019 & 2031
5.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Type:

5.2.1. Machine Learning
5.2.2. Natural Language Processing (NLP)
5.2.3. Computer Vision
5.2.4. Robotic Process Automation (RPA)
5.2.5. Expert Systems
5.2.6. Others

Chapter 6. Market Segmentation 2: by Application Estimates & Trend Analysis
6.1. by Application & Market Share, 2019 & 2031
6.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Application:

6.2.1. Administrative Services
6.2.2. Healthcare
6.2.3. Law Enforcement and Public Safety
6.2.4. Transportation and Urban Planning
6.2.5. Social Services
6.2.6. Environmental Management
6.2.7. Tax and Revenue Management
6.2.8. Defense and National Security
6.2.9. Education
6.2.10. Others

Chapter 7. Market Segmentation 3: by Deployment Mode Estimates & Trend Analysis
7.1. by Deployment Mode & Market Share, 2019 & 2031
7.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Deployment Mode:

7.2.1. Cloud-based
7.2.2. On-premises

Chapter 8. Market Segmentation 4: by End Users Estimates & Trend Analysis
8.1. by End Users & Market Share, 2019 & 2031
8.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by End Users:

8.2.1. Government Agencies
8.2.2. Public Services Organizations

Chapter 9. AI in Government and Public Services Market Segmentation 5: Regional Estimates & Trend Analysis

9.1. North America
9.1.1. North America AI in Government and Public Services Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
9.1.2. North America AI in Government and Public Services Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
9.1.3. North America AI in Government and Public Services Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2024-2031
9.1.4. North America AI in Government and Public Services Market Revenue (US$ Million) Estimates and Forecasts by End Users, 2024-2031
9.1.5. North America AI in Government and Public Services Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

9.2. Europe
9.2.1. Europe AI in Government and Public Services Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
9.2.2. Europe AI in Government and Public Services Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
9.2.3. Europe AI in Government and Public Services Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2024-2031
9.2.4. Europe AI in Government and Public Services Market Revenue (US$ Million) Estimates and Forecasts by End Users, 2024-2031
9.2.5. Europe AI in Government and Public Services Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

9.3. Asia Pacific
9.3.1. Asia Pacific AI in Government and Public Services Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
9.3.2. Asia Pacific AI in Government and Public Services Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
9.3.3. Asia-Pacific AI in Government and Public Services Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2024-2031
9.3.4. Asia-Pacific AI in Government and Public Services Market Revenue (US$ Million) Estimates and Forecasts by End Users, 2024-2031
9.3.5. Asia Pacific AI in Government and Public Services Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

9.4. Latin America
9.4.1. Latin America AI in Government and Public Services Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
9.4.2. Latin America AI in Government and Public Services Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
9.4.3. Latin America AI in Government and Public Services Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2024-2031
9.4.4. Latin America AI in Government and Public Services Market Revenue (US$ Million) Estimates and Forecasts by End Users, 2024-2031
9.4.5. Latin America AI in Government and Public Services Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

9.5. Middle East & Africa
9.5.1. Middle East & Africa AI in Government and Public Services Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031
9.5.2. Middle East & Africa AI in Government and Public Services Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031
9.5.3. Middle East & Africa AI in Government and Public Services Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2024-2031
9.5.4. Middle East & Africa AI in Government and Public Services Market Revenue (US$ Million) Estimates and Forecasts by End Users, 2024-2031
9.5.5. Middle East & Africa AI in Government and Public Services Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

Chapter 10. Competitive Landscape
10.1. Major Mergers and Acquisitions/Strategic Alliances
10.2. Company Profiles

10.2.1. IBM Corporation
10.2.2. Microsoft Corporation
10.2.3. Google LLC
10.2.4. Amazon Web Services, Inc.
10.2.5. Accenture PLC
10.2.6. Deloitte Touche Tohmatsu Limited
10.2.7. SAP SE
10.2.8. Oracle Corporation
10.2.9. NVIDIA Corporation
10.2.10. Intel Corporation
10.2.11. Adobe Inc.
10.2.12. Palantir Technologies Inc.
10.2.13. OpenText Corporation
10.2.14. SAS Institute Inc.
10.2.15. Cognizant Technology Solutions Corporation
10.2.16. Genpact Limited
10.2.17. Infosys Limited
10.2.18. Capgemini SE
10.2.19. TCS (Tata Consultancy Services) Limited
10.2.20. CGI Inc.
10.2.21. Wipro Limited
10.2.22. DXC Technology Company
10.2.23. PwC (PricewaterhouseCoopers) LLP
10.2.24. KPMG International Cooperative
10.2.25. HCL Technologies Limited
10.2.26. Other Prominent Players

Segmentation of AI in Government and Public Services Market-

AI in Government and Public Services Market By Type-

  • Machine Learning
  • Natural Language Processing (NLP)
  • Computer Vision
  • Robotic Process Automation (RPA)
  • Expert Systems
  • Others

ai in govt

AI in Government and Public Services Market By Application-

  • Administrative Services
  • Healthcare
  • Law Enforcement and Public Safety
  • Transportation and Urban Planning
  • Social Services
  • Environmental Management
  • Tax and Revenue Management
  • Defense and National Security
  • Education
  • Others

AI in Government and Public Services Market By Deployment Mode-

  • Cloud-based
  • On-premises

AI in Government and Public Services Market By End-User-

  • Government Agencies
  • Public Services Organizations

AI in Government and Public Services Market By Region-

North America-

  • The US
  • Canada
  • Mexico

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • South East Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of the Middle East and Africa

 

InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.

Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.

Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.

Secondary research

The secondary research sources that are typically mentioned to include, but are not limited to:

  • Company websites, financial reports, annual reports, investor presentations, broker reports, and SEC filings.
  • External and internal proprietary databases, regulatory databases, and relevant patent analysis
  • Statistical databases, National government documents, and market reports
  • Press releases, news articles, and webcasts specific to the companies operating in the market

The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista

Primary Research:

Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies

The contributors who typically take part in such a course include, but are not limited to: 

  • Industry participants: CEOs, CBO, CMO, VPs, marketing/ type managers, corporate strategy managers, and national sales managers, technical personnel, purchasing managers, resellers, and distributors.
  • Outside experts: Valuation experts, Investment bankers, research analysts specializing in specific markets
  • Key opinion leaders (KOLs) specializing in unique areas corresponding to various industry verticals
  • End-users: Vary mainly depending upon the market

Data Modeling and Analysis:

In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.

The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.

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Frequently Asked Questions

How big is the AI in Government and Public Services Market Size?

The AI in Government and Public Services Market is expected to grow at a 15.8% CAGR during the forecast period for 2024-2031.

IBM Corporation, Microsoft Corporation, Amazon Web Services (AWS), Google LLC, Accenture PLC, Palantir Technologies Inc., SAS Institute Inc., Oracle C

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