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Artificial Intelligence (AI) Agents In Public Service Market Value Analysis: What Growth Is Expected Over The Forecast Period?
The market size for artificial intelligence (AI) agents in public service has experienced significant expansion in recent years. This market is projected to grow from $1.73 billion in 2025 to $2.5 billion in 2026, at a compound annual growth rate (CAGR) of 44.7%. The historical growth can be ascribed to several factors, including the digitization of government services, increasing public service demand, early adoption of chatbots in public offices, the need to reduce administrative costs, and the proliferation of e-governance initiatives.
The market for artificial intelligence (AI) agents in public service is projected to experience substantial expansion in the coming years. By 2030, this market is anticipated to reach a valuation of $10.72 billion, exhibiting a compound annual growth rate (CAGR) of 43.9%. This projected growth during the forecast period stems from factors such as the expansion of smart cities, the establishment of AI policy frameworks within the public sector, the increasing need for real-time service delivery, requirements for workforce automation, and the adoption of data-driven governance. Key trends anticipated during this period encompass AI-driven automation for citizen services, the emergence of virtual public service assistants, the implementation of multi-agent decision support systems, intelligent management of traffic and mobility, and the development of AI-enabled smart governance platforms.
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Artificial Intelligence (AI) Agents In Public Service Market Growth Drivers: What Factors Are Accelerating Expansion?
The increasing adoption of cloud computing is anticipated to stimulate the expansion of the AI agents in public service market moving forward. Cloud computing involves the provision of computing services such as storage, processing power, databases, networking, software, and analytics via the internet, in contrast to utilizing local servers or personal computers. Cloud computing’s prevalence is growing as it delivers scalability, enabling organizations to adjust resources based on demand without requiring significant upfront investments. This technology empowers AI agents in public service to access adaptable resources, efficiently process extensive datasets, and deliver real-time insights. For instance, in December 2023, Eurostat, a Luxembourg-based government agency in the EU, reported that the proportion of enterprises purchasing cloud computing services increased by 4.2 percentage points in 2023 compared to 2021. Therefore, the growing integration of cloud computing is driving the advancement of the AI agents in public service market.
Artificial Intelligence (AI) Agents In Public Service Market Segment Performance And Strategic Opportunities
The artificial intelligence (AI) agents in public service market covered in this report is segmented –
1) By Product Type: Ready To Deploy Agents, Build Your Own Agents
2) 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 Agents
2) By Build Your Own Agents: Development Frameworks, Custom APIs, Open-Source Platforms
Artificial Intelligence (AI) Agents In Public Service Market Transformation Trends: Which Innovations Are Driving Change?
Leading companies within the AI agents in public service market are concentrating on technological breakthroughs, specifically through the implementation of artificial intelligence (AI)-powered agentic systems. These systems are designed to automate operations, enhance decision-making processes, provide data-driven insights, and improve interactions with citizens. An AI-powered agentic solution is an advanced platform that harnesses artificial intelligence to independently execute tasks, analyze data, and make determinations, thereby boosting efficiency and optimizing the delivery of public services. For example, in February 2025, Genpact Ltd., a US-based technology company, launched agentic solutions as part of its strategic shift to reimagine service delivery. These AI-driven solutions are built upon industry-specific semantic layers, enabling agents to learn, adapt, and make autonomous decisions based on real-world feedback. Genpact’s goal is to accelerate innovation and increase precision in public service operations by moving beyond generic AI models towards domain-specific autonomous agent-led delivery.
Artificial Intelligence (AI) Agents In Public Service Market Key Players: Which Companies Shape Industry Competition?
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
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Artificial Intelligence (AI) Agents In Public Service Market Regional Outlook: Where Are The Largest Opportunities Located?
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.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.