AI in Government and Public Services Market Size & Share 2025 – 2034
Market Size by Offering, by Technology, by Deployment Mode, by Application, by End use, Growth Forecast.
Download Free PDF
Market Size by Offering, by Technology, by Deployment Mode, by Application, by End use, Growth Forecast.
Download Free PDF
Starting at: $2,450
Base Year: 2024
Companies Profiled: 27
Tables & Figures: 165
Countries Covered: 24
Pages: 210
Download Free PDF
AI in Government and Public Services Market
Get a free sample of this report
AI in Government and Public Services Market Size
The global AI in government and public services market size was valued at USD 17.1 billion in 2024. The market is expected to grow from USD 19.7 billion in 2025 to USD 91.3 billion in 2034, at a CAGR of 18.6%, according to latest report published by Global Market Insights Inc.
AI in Government and Public Services Market Key Takeaways
Market Size & Growth
Regional Dominance
Key Market Drivers
Challenges
Opportunity
Key Players
AI in government and public services sector is experiencing significant transformation, driven by advancements in technology and a growing emphasis on digital governance. Governments worldwide are increasingly adopting AI to enhance operational efficiency, improve citizen engagement, and streamline service delivery. AI is being utilized to automate repetitive administrative tasks such as data processing, document handling, and citizen interactions, enabling faster workflows and freeing resources for strategic initiatives.
For instance, In September 2025, the Integrated Command and Control Centre (ICCC) inauguration utilize AI in public services in Tirumala, India. This facility is the country's first AI-powered command center for pilgrims, utilizing over 6,000 AI cameras and high-performance computing to manage crowd density, enhance safety, and improve cybersecurity at the renowned temple complex. Developed through a public-private partnership, the ICCC exemplifies how AI can transform public service delivery by integrating physical and cyber operations to enhance the pilgrim experience and resilience.
In COVID-19 pandemic, AI technologies were instrumental in managing lockdowns and enforcing public health measures. For instance, in France, AI-driven monitoring systems were deployed in cities like Cannes to analyze CCTV footage for compliance with social distancing and mask-wearing protocols. These systems alerted authorities in real-time to potential breaches, facilitating prompt enforcement actions without storing personal data, thereby balancing public health objectives with privacy concerns.
North America led the AI in government and public services market. This leadership is attributed to substantial investments in AI infrastructure, innovation hubs, and supportive policies focused on digitizing public sector operations. The region hosts a mature ecosystem of AI vendors, research institutions, and government agencies collaborating on pilot projects and scaled AI deployments. For instance, in September 2025, the U.S. General Services Administration (GSA) has partnered with Meta to facilitate government-wide use of Llama, its open-source AI models, making them more accessible to all federal departments and agencies.
Asia-Pacific is emerging as the fastest-growing region in AI in government and public services market. Governments across the region are investing heavily in AI to enhance public service delivery, improve governance, and address challenges such as urbanization and aging populations. For instance, South Korea has announced plans to boost its 2026 budget by 8.1%, with a sizable portion allocated to AI research and industrial policies, reflecting a strategic focus on AI-driven growth. Similarly, Malaysia is investing in data centers to support its digital economy, aiming to become Southeast Asia's digital hub.
AI in Government and Public Services Market Trends
Governments are making expected moves towards the integration of AI to improve real-time decision making, predictive analytics, and automated service delivery. This is primarily due to the need for increased responsive governance and resource allocation. In 2024, federal agencies released 59 AI regulatory documents compared to only 29 in 2023, demonstrating an increased pace of development of regulatory frameworks.
Governments will be able to process vast amounts of data in an instant as the technology integration will support objectives ranging from traffic management to emergency response coordination. Governments will need to focus more on transparency, fairness, and accountability regarding AI use, as governments develop comprehensive frameworks and regulations governing ethical use. This is in response to growing public concerns surrounding algorithmic bias and transparency surrounding government directives and decisions. The OECD indicates that now 70% of nations are using AI to assist with internal processes, and 33% are using it in policy development, concerned with drafting some ethical guidelines.
Some large technology companies are developing cloud-based AI and data service management suits that are packed with trusted security designed for government use. There is a particularly positive trend toward cloud deployment models as more government agencies see the clear cost savings of not maintaining infrastructure and improved access. This trend is likely to help provide an impetus for some broader digital transformation objectives across public sector institutions.
AI can handle routine duties, such as data entry, answering citizen inquiries, and administration, can also assist in managing schedules and priorities, increasing efficiencies, and improving the use of staffing resources, which manages time and budget savings. Accenture suggests that AI could increase 42% of public service working hours. CBO estimates that AI will increase productivity by $480 billion annually government wide. This driver is about 25% of the market growth activity, as agencies look to be more efficient in the operation to operate while moderating their budget.
AI-enabled citizen service apps include chatbots on government websites, phone-based virtual assistants, and able to provide tailored service suggestions, based on citizen profiles and needs. In these areas, AI can provide service to citizens 24/7, lower wait times in providing answers to citizen service issues, reduce fatigue in responding to citizen queries, and provide the same quality service across platform channels.
AI in Government and Public Services Market Analysis
Based on offering, the AI in government and public services market is divided into solution/software and services. The service segment dominated the market accounting by around 56% in 2024 and is expected to grow at a CAGR of 16% from 2025 to 2034.
Based on technology, the AI in government and public services market is categorized into machine learning & deep learning, natural language processing, image & video, robotic process automation, and others. Machine learning & deep learning segment dominates the market with 41% share in 2024, and the segment is expected to grow at a CAGR of 17% between 2025 and 2034.
Based on deployment mode, the AI in government and public services market is divided into cloud-based, on-premises, and hybrid. Cloud-based deployments dominate the market and was valued at USD 8.2 billion in 2024.
Based on applications, the AI in government and public services market is divided into citizen services & engagement, public safety & security, healthcare & social services, defense & national security, administrative efficiency, smart cities & urban management, and others. The citizen services & engagement segment dominates the market and was valued at USD 4.3 billion in 2024.
The US dominated North America AI in government and public services market with revenue of USD 6.1 billion in 2024.
UK AI in government and public services market will grow tremendously with CAGR of 16.4% between 2025 and 2034.
The AI in government and public services market in China will experience robust growth during 2025-2034.
The AI in government and public services market in Brazil will experience significant growth between 2025 & 2034.
The AI in government and public services market in UAE is expected to experience robust growth between 2025 & 2034.
AI in Government and Public Services Market Share
The top 7 companies in the market are Oracle, AWS, Salesforce, Cognizant, Alphabet, IBM, and Microsoft. These companies hold around 38% of the market share in 2024.
AI in Government and Public Services Market Companies
Major players operating in the AI in government and public services industry include:
13% Market Share
Collective market share in 2024 is 34%
AI in Government and Public Services Industry News
The AI in government and public services market research report includes in-depth coverage of the industry with estimates & forecasts in terms of revenue ($Bn) from 2021 to 2034, for the following segments:
Click here to Buy Section of this Report
Market, By Offering
Market, By Technology
Market, By Deployment Mode
Market, By Application
Market, By End use
The above information is provided for the following regions and countries:
Research methodology, data sources & validation process
This report draws on a structured research process built around direct industry conversations, proprietary modelling, and rigorous cross-validation and not just desk research.
Our 6-step research process
1. Research design & analyst oversight
At GMI, our research methodology is built on a foundation of human expertise, rigorous validation, and complete transparency. Every insight, trend analysis, and forecast in our reports is developed by experienced analysts who understand the nuances of your market.
Our approach integrates extensive primary research through direct engagement with industry participants and experts, complemented by comprehensive secondary research from verified global sources. We apply quantified impact analysis to deliver dependable forecasts, while maintaining complete traceability from original data sources to final insights.
2. Primary research
Primary research forms the backbone of our methodology, contributing nearly 80% to overall insights. It involves direct engagement with industry participants to ensure accuracy and depth in analysis. Our structured interview program covers regional and global markets, with inputs from C-suite executives, directors, and subject matter experts. These interactions provide strategic, operational, and technical perspectives, enabling well-rounded insights and reliable market forecasts.
3. Data mining & market analysis
Data mining is a key part of our research process, contributing nearly 20% to the overall methodology. It involves analysing market structure, identifying industry trends, and assessing macroeconomic factors through revenue share analysis of major players. Relevant data is collected from both paid and unpaid sources to build a reliable database. This information is then integrated to support primary research and market sizing, with validation from key stakeholders such as distributors, manufacturers, and associations.
4. Market sizing
Our market sizing is built on a bottom-up approach, starting with company revenue data gathered directly through primary interviews, alongside production volume figures from manufacturers and installation or deployment statistics. These inputs are then pieced together across regional markets to arrive at a global estimate that stays grounded in actual industry activity.
5. Forecast model & key assumptions
Every forecast includes explicit documentation of:
✓ Key growth drivers and their assumed impact
✓ Restraining factors and mitigation scenarios
✓ Regulatory assumptions and policy change risk
✓ Technology adoption curve parameter
✓ Macroeconomic assumptions (GDP growth, inflation, currency)
✓ Competitive dynamics and market entry/exit expectations
6. Validation & quality assurance
The final stages involve human validation, where domain experts manually review filtered data to identify nuances and contextual errors that automated systems might miss. This expert review adds a critical layer of quality assurance, ensuring data aligns with research objectives and domain-specific standards.
Our triple-layer validation process ensures maximum data reliability:
✓ Statistical Validation
✓ Expert Validation
✓ Market Reality Check
Trust & credibility
Verified data sources
Trade publications
Security & defense sector journals and trade press
Industry databases
Proprietary and third-party market databases
Regulatory filings
Government procurement records and policy documents
Academic research
University studies and specialist institution reports
Company reports
Annual reports, investor presentations, and filings
Expert interviews
C-suite, procurement leads, and technical specialists
GMI archive
13,000+ published studies across 30+ industry verticals
Trade data
Import/export volumes, HS codes, and customs records
Parameters studied & evaluated
Every data point in this report is validated through primary interviews, true bottom-up modelling, and rigorous cross-checks. Read about our research process →