Artificial Intelligence (AI) In Government Market Size, Share, Opportunities, And Trends By Offering (Hardware, Software, Services), By Technology (Machine Learning, Deep Learning, Machine Vision, Natural Language Processing), And By Geography - Forecasts From 2025 To 2030

AI in Government Market Size:

Artificial Intelligence (AI) in Government Market is estimated to grow at a CAGR of 29.07% during the projected period, accounting for a total market size of US$85.470 billion by 2030, up from US$23.860 billion in 2025.

AI in Government Market Highlights:

• Efficiency Gains: AI automates tasks, enhancing public service delivery and decision-making.
• Security Enhancement: AI strengthens cybersecurity, fraud detection, and personalized citizen services.
• Cloud Computing Growth: Enables rapid AI deployment for government operations and responsiveness.
• North American Leadership: Strong investments and policies drive AI adoption in government.

Governments worldwide are becoming increasingly interested in artificial intelligence (AI) technologies. They are investing heavily in AI, dedicating budget and time to piloting various AI applications and discussing with experts in this field their future technology innovations. These innovations can be utilized to change how work is performed, from law enforcement to running transportation projects. Air Force Central in the United States is increasing its use of AI technology, leading to a significant trend in AI equipment usage across governments due to the massive accumulation of data. This cuts down on the cost of storing and processing all this data.

AI in Government Market Trends:

The increasing use of cloud computing solutions also drives AI in the government market’s growth because cloud computing combines data, cognitive services, and edge computing, enabling rapid response time by deputies. As machine learning continues to enhance the technological aspects of various applications, it will increasingly fund deep research into AI. Various global governments are collaborating with industry players and academic institutions in myriad AI projects for the public, such as managing traffic and digitizing past government paperwork. This will generate positive market growth of AI in government during the forecast period.

Moreover, chatbots are the most popular form of AI in the government. They used to provide very targeted applications that could answer basic procedural questions early on in the process. However, the absolute value increased as they became more productive, as they could converse and answer questions while giving feedback for better customer service. As citizens are already using AI for a digital assistant/bot or any other intelligent service in the commercial market, governments are implementing AI in their services since citizens will more readily accept these technologies.

AI in Government Market Drivers:

• Growing adoption of AI for efficiency and improved decision-making in public services is expected to increase the global market for AI in governments.

The government sector is increasingly embracing AI technology in its services since it assists in cost-cutting and boosts efficiency. AI effectively automates tasks, simplifies processes, and optimizes workflows, reducing costs and helping to effectively utilize resources for the progress of public services. AI can deliver data insights, enabling advanced data analysis to predict future trends and capture security risks early, leading to advanced decision-making. For instance, a Microsoft data report of June 2024 estimates that utilizing the GenAI tool could save the UK public sector £17bn by 2035, yet even just a five-year delay in adoption would lead to a loss in its economy of up to £150bn.

In addition, AI is capable of assisting governments in conducting data-driven analysis to aid evidence-based policymaking, avoiding assumptions with evidence, and using proper forecasts provided by AI. As governments seek to scale up public service performance, the need for AI technologies has been recognized as significant, consequently contributing to the exponential growth of the AI market worldwide.

• The government's increasing enhancement of security and public services is anticipated to drive AI in the government market growth.

The AI can assist in ensuring the security of government services, including their public systems and data, against cyber threats, fraud detection, and border control. It can also potentially enhance public services by allowing them to be tailored for each citizen, rendering them more accessible for disabled or disadvantaged people with limited resources. In addition, AI-powered tools can predict what a specific citizen requires beforehand and deliver the necessary service proactively. This immediate access that citizens can utilize captures demand more accurately and improves government responsiveness. By enabling governments to deliver better, faster, and more secure services, AI is likely to become even more imperative, as it sees AI technology in practice for citizen benefits.

Moreover, governments are implementing AI technology in public services involving advanced data security. For instance, in September 2024, Canada's President of the Treasury Board introduced public discussions on the country's first AI technique for the government public service. The consultations will assemble insights from Canadians on the suitable utilization of AI within the federal government. The declaration was made amid the yearly assembly of digital government ministers at the Symposium on Digital Trust and Cyber Security. This points to developing cybersecurity, digital belief, and capable AI utilization in Canada.

AI in Government Market Restraints:

• The slow adaptation of advanced AI technologies and the shortage of qualified AI experts could hinder AI in the government market’s expansion.

The state and local governments have been slower in adopting AI than private businesses. Meanwhile, different government administrations have yet to replace the first IT infrastructure to fully leverage AI technology to minimize compatibility problems. On the other hand, market growth is restricted due to a lack of computing resources for AI projects within government departments, as many government agencies are unable to set up data centers that can handle heavy data, which might require costlier graphical processing units. Another factor hindering this market’s growth is the lack of data scientists and subject matter experts within the government necessary to identify problems AI could solve for a government department.

AI in Government Market Key Developments:

• April 2024-  The US and UK signed an MOU to partner on AI safety research, security assessments, and guidance. This collaboration focuses on creating shared capabilities through information sharing, participation, and expert workforce trades. The US and UK plans to align their scientific approaches and work closely to quicken strong suites of assessments for AI models, frameworks, and specialists.
• June 2022- The Canadian government introduced the second stage of its Pan-Canadian Artificial Intelligence Strategy, with a venture of over $443 million committed in Budget 2021. This strategy focuses on bridging world-class ability and investigation capacity with the commercialization and selection of AI, guaranteeing Canadian knowledge and insights are mobilized locally.

List of Top AI in Government Companies:

• Accenture
• Microsoft Corporation
• ALEX - Alternative Experts, LLC
• Raytheon Intelligence & Space
• IBM

AI in Government Market is segmented and analyzed as below:

• By Offering
  • Hardware
  • Software
  • Services
• By Technology
  • Machine Learning
  • Deep Learning
  • Machine Vision
  • Natural Language Processing
• By Geography
  • North America
    • USA
    • Canada              
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Others
  • Europe
    • Germany
    • France
    • United Kingdom
    • Spain
    • Italy
    • Others
  • Middle East and Africa
    • Saudi Arabia
    • UAE
    • Others
  • Asia Pacific
    • China
    • Japan
    • South Korea
    • India
    • Indonesia
    • Thailand
    • Others

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1. INTRODUCTION

1.1. Market Overview

1.2. Market Definition

1.3. Scope of the Study

1.4. Market Segmentation

1.5. Currency

1.6. Assumptions

1.7. Base and Forecast Years Timeline

1.8. Key benefits for the stakeholders

2. RESEARCH METHODOLOGY

2.1. Research Design

2.2. Research Process

3. EXECUTIVE SUMMARY

3.1. Key Findings

4. MARKET DYNAMICS

4.1. Market Drivers

4.2. Market Restraints

4.3. Porter’s Five Forces Analysis

4.3.1. Bargaining Power of Suppliers

4.3.2. Bargaining Power of Buyers

4.3.3. Threat of New Entrants

4.3.4. Threat of Substitutes

4.3.5. Competitive Rivalry in the Industry

4.4. Industry Value Chain Analysis

4.5. Analyst View

5. AI IN GOVERNMENT MARKET BY OFFERING

5.1. Introduction

5.1. Hardware

5.2. Software 

5.3. Services

6. AI IN GOVERNMENT MARKET BY TECHNOLOGY

6.1. Introduction

6.2. Machine Learning

6.3. Deep Learning

6.4. Machine Vision

6.5. Natural Language Processing

7. AI IN GOVERNMENT MARKET BY GEOGRAPHY

7.1. Introduction

7.2. North America

7.2.1. By Offering

7.2.2. By Technology

7.2.3. By Country

7.2.3.1. USA

7.2.3.2. Canada

7.2.3.3. Mexico

7.3. South America

7.3.1. By Offering

7.3.2. By Technology

7.3.3. By Country

7.3.3.1. Brazil

7.3.3.2. Argentina

7.3.3.3. Others

7.4. Europe

7.4.1. By Offering

7.4.2. By Technology

7.4.3. By Country

7.4.3.1. United Kingdom

7.4.3.2. Germany

7.4.3.3. France

7.4.3.4. United Kingdom

7.4.3.5. Spain

7.4.3.6. Italy

7.4.3.7. Others

7.5. Middle East and Africa

7.5.1. By Offering

7.5.2. By Technology

7.5.3. By Country

7.5.3.1. Saudi Arabia

7.5.3.2. UAE

7.5.3.3. Others

7.6. Asia Pacific

7.6.1. By Offering

7.6.2. By Technology

7.6.3. By Country

7.6.3.1. China

7.6.3.2. Japan

7.6.3.3. South Korea

7.6.3.4. India

7.6.3.5. Indonesia

7.6.3.6. Thailand

7.6.3.7. Others

8. COMPETITIVE ENVIRONMENT AND ANALYSIS

8.1. Major Players and Strategy Analysis

8.2. Market Share Analysis

8.3. Mergers, Acquisitions, Agreements, and Collaborations

8.4. Competitive Dashboard

9. COMPANY PROFILES

9.1. Accenture

9.2. Microsoft Corporation

9.3. ALEX - Alternative Experts, LLC

9.4. Raytheon Intelligence & Space

9.5. IBM

9.6. SAS Institute Inc.

9.7. DataRobot, Inc.

9.8. DigitalAI

9.9. Deloitte Touche Tohmatsu Limited

9.10. C3.ai

Accenture

Microsoft Corporation

ALEX - Alternative Experts, LLC

Raytheon Intelligence & Space

IBM

SAS Institute Inc.

DataRobot, Inc.

DigitalAI

Deloitte Touche Tohmatsu Limited

C3.ai