The artificial intelligence (AI) agents in public service market size is expected to see exponential growth in the next few years. It will grow to $10.72 billion in 2030 at a compound annual growth rate (CAGR) of 43.9%. The growth in the forecast period can be attributed to smart city expansion, AI policy frameworks in public sector, demand for real time service delivery, workforce automation needs, data driven governance adoption. Major trends in the forecast period include AI driven citizen service automation, virtual public service assistants, multi agent decision support systems, intelligent traffic and mobility management, AI enabled smart governance platforms.
The growing adoption of cloud computing is expected to fuel the growth of the AI agents in public service market. Cloud computing involves delivering computing services, such as storage, processing power, databases, networking, software, and analytics, over the internet rather than relying on local servers or personal computers. The rise of cloud computing is driven by its scalability, allowing businesses to adjust resources based on demand without significant upfront investments. This flexibility enables AI agents in public service to access scalable resources, process large datasets, and deliver real-time insights with greater efficiency. For example, in December 2023, Eurostat, a Luxembourg-based government agency within the EU, reported that the proportion of enterprises purchasing cloud computing services increased by 4.2 percentage points in 2023. This growing trend in cloud computing adoption is driving the expansion of the AI agents in public service market.
Leading companies in the AI agents in public service market are focusing on technological advancements such as AI-powered agentic systems to automate processes, enhance decision-making, provide data-driven insights, and improve interactions with citizens. An AI-powered agentic solution is a sophisticated system that uses artificial intelligence to autonomously perform tasks, analyze data, and make decisions, ultimately boosting efficiency and optimizing public service delivery. For instance, in February 2025, Genpact Ltd., a U.S.-based technology company, introduced agentic solutions as part of its shift to reimagine service delivery. These AI-powered solutions are trained with industry-specific semantic layers, allowing agents to learn, adapt, and make autonomous decisions based on real-world feedback. By moving beyond generic AI models, Genpact aims to accelerate innovation and improve precision in public service operations through domain-specific autonomous agent-led delivery.
In September 2024, Salesforce Inc., a U.S.-based software company, acquired Own Company Inc. for an undisclosed amount. This acquisition enhances Salesforce's data security offerings, enabling the secure and compliant management of critical customer data while unlocking advanced data insights. Own Company Inc. is a U.S.-based software company specializing in providing AI agents in public service.
Major companies operating in the artificial intelligence (AI) agents in public service market are Alphabet Inc., Microsoft Corporation, Amazon Web Services Inc., Deloitte Touche Tohmatsu Limited, Intel Corporation, Accenture plc, International Business Machines Corporation, PricewaterhouseCoopers LLP, Oracle Corporation, KPMG International Limited, SAP SE, Salesforce Inc., Tata Consultancy Services Limited, NVIDIA Corporation, Capgemini SE, Cognizant Technology Solutions Corporation, Infosys Limited, Adobe Inc., DXC Technology Company, HCL Technologies Limited.
North America was the largest region in the artificial intelligence (AI) agents in public service market in 2025. The regions covered in the artificial intelligence (AI) agents in public service market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence (AI) agents in public service market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
Tariffs have had a limited but noticeable impact on the AI agents in public service market by influencing the cost of imported computing hardware and AI infrastructure. Increased duties on servers, networking equipment, and embedded systems raise deployment costs for government agencies. Regions with high dependence on imported IT infrastructure, including parts of Asia Pacific and Europe, are more affected. Smart city and traffic management deployments experience higher budget sensitivity due to hardware intensive requirements. On the positive side, tariff pressures are encouraging governments to invest in domestic AI platforms and locally developed agent solutions. This supports long term digital sovereignty and resilient public service ecosystems.
The artificial intelligence (AI) agents in public service market research report is one of a series of new reports that provides artificial intelligence (AI) agents in public service market statistics, including artificial intelligence (AI) agents in public service industry global market size, regional shares, competitors with a artificial intelligence (AI) agents in public service market share, detailed artificial intelligence (AI) agents in public service market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) agents in public service industry. This artificial intelligence (AI) agents in public service market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
Artificial intelligence (AI) agents in public service refer to AI systems designed to carry out tasks, offer assistance, or make decisions across various public sector areas, such as healthcare, transportation, education, and administrative services, all with the goal of improving efficiency and accessibility.
The main types of AI agents in public service include ready-to-deploy agents and build-your-own agents. Ready-to-deploy agents are pre-configured AI solutions that can be quickly integrated into public service operations. AI agents can function as either single-agent systems or multi-agent systems. These agents are applied in numerous sectors, including smart city infrastructure, traffic management, public transportation optimization, law enforcement, education, and other public service domains.
The artificial intelligence (AI) agents in public service market consists of revenues earned by entities by providing services such as automated document processing, healthcare and public safety monitoring, smart traffic and infrastructure management. the market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) agents in public service market also includes sales of chatbots and virtual assistants, fraud detection and risk assessment tools, predictive analytics solutions, AI-powered surveillance and traffic management. 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 that 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.
This product will be delivered within 1-3 business days.
Table of Contents
Executive Summary
Artificial Intelligence (AI) Agents In Public Service Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses artificial intelligence (AI) agents in public service 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:
- Gain a truly global perspective with the most comprehensive report available on this market covering 16 geographies.
- Assess the impact of key macro factors such as geopolitical conflicts, trade policies and tariffs, inflation and interest rate fluctuations, and evolving regulatory landscapes.
- Create regional and country strategies on the basis of local data and analysis.
- Identify growth segments for investment.
- Outperform competitors using forecast data and the drivers and trends shaping the market.
- Understand customers based on end user analysis.
- Benchmark performance against key competitors based on market share, innovation, and brand strength.
- Evaluate the total addressable market (TAM) and market attractiveness scoring to measure market potential.
- Suitable for supporting your internal and external presentations with reliable high-quality data and analysis
- Report will be updated with the latest data and delivered to you along with an Excel data sheet for easy data extraction and analysis.
- All data from the report will also be delivered in an excel dashboard format.
Description
Where is the largest and fastest growing market for artificial intelligence (AI) agents in public service? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence (AI) agents in public service market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Report Scope
Markets Covered:
1) By Product Type: Ready To Deploy Agents; Build Your Own Agents2) By Agent System: Single Agent Systems; Multi Agent Systems
3) By Application: Smart City Infrastructure; Traffic Management; Public Transportation Optimization; Law Enforcement; Education; Other Applications
Subsegments:
1) By Ready To Deploy Agents: Chatbots; Virtual Assistants; Task Automation Agents; Customer Support Agents; Decision Support Agents2) By Build Your Own Agents: Development Frameworks; Custom APIs; Open-Source Platforms
Companies Mentioned: Alphabet Inc.; Microsoft Corporation; Amazon Web Services Inc.; Deloitte Touche Tohmatsu Limited; Intel Corporation; Accenture plc; International Business Machines Corporation; PricewaterhouseCoopers LLP; Oracle Corporation; KPMG International Limited; SAP SE; Salesforce Inc.; Tata Consultancy Services Limited; NVIDIA Corporation; Capgemini SE; Cognizant Technology Solutions Corporation; Infosys Limited; Adobe Inc.; DXC Technology Company; HCL Technologies Limited
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentation: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits:
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
The companies featured in this AI Agents in Public Service market report include:- Alphabet Inc.
- Microsoft Corporation
- Amazon Web Services Inc.
- Deloitte Touche Tohmatsu Limited
- Intel Corporation
- Accenture plc
- International Business Machines Corporation
- PricewaterhouseCoopers LLP
- Oracle Corporation
- KPMG International Limited
- SAP SE
- Salesforce Inc.
- Tata Consultancy Services Limited
- NVIDIA Corporation
- Capgemini SE
- Cognizant Technology Solutions Corporation
- Infosys Limited
- Adobe Inc.
- DXC Technology Company
- HCL Technologies Limited
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 250 |
| Published | February 2026 |
| Forecast Period | 2026 - 2030 |
| Estimated Market Value ( USD | $ 2.5 Billion |
| Forecasted Market Value ( USD | $ 10.72 Billion |
| Compound Annual Growth Rate | 43.9% |
| Regions Covered | Global |
| No. of Companies Mentioned | 21 |

