DELRAY BEACH, Fla., April 23, 2025 /PRNewswire/ — The report for AI Agents Market is anticipated to experience substantial expansion, rising from a value of USD 7.84 billion in 2025 to a substantial USD 52.62 billion by the year 2030. This growth trajectory reflects a robust compound annual growth rate (CAGR) of 46.3% over the forecast period.
The main factor driving the adoption of AI agents is the rising need for automation that enhances efficiency and decision-making across industries. Businesses face pressure to streamline operations and cut costs, and AI agents effectively automate repetitive tasks and analyze large datasets. They can manage multiple inquiries at once, enabling faster responses and allowing human agents to focus on complex issues. In fields like investment banking and healthcare, AI is used for data analysis and pattern recognition to support timely decisions. This automation improves efficiency and allows companies to expand services without hiring more staff, making AI agents crucial for growth and competitiveness.
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488 – Tables
35 – Figures
464 – Pages
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Scope of the Report
Report Metrics | Details |
Market size available for years | 2020–2030 |
Base year considered | 2024 |
Forecast period | 2025–2030 |
Forecast units | USD (Million) |
Segments covered | Offering, Agent System, Product Type, Agent Role, End User, and Region |
Geographies covered | North America, Europe, Asia Pacific, Middle East & Africa, and Latin America |
Companies covered | Microsoft (US), IBM (US), Google (US), Oracle (US), AWS (US), NVIDIA (US), Meta (US), Salesforce (US), OpenAI (US), LivePerson (US), Tempus AI (US), Kore.ai (US), LeewayHertz (US), CS DISCO (US), Aerogility (UK), GupShup (US), HireVue (US), Helpshift (US), Fluid AI (India), Amelia (US), Irisity (Sweden), Cogito (US), SmartAction (US), Cognosys (Canada), Aisera (US), Markovate (US), Rasa (US), Stability AI (UK), Infinitus Systems (US), Sierra (US), Level AI (US), Sybill (US), Truva (US), Leena AI (US), Tars (US), Talkie.ai (US), HeyMilo AI (US), CUJO AI (US), K Health (US), Locale.ai (US), Newo.ai (US), Beam AI (US), and Cognigy (Germany), CausaLens (UK), Krisp (US), Relevance AI (Australia), Spell (Germany), BlueJ (US), Luminance (UK), LawGeex (US), and Tovie AI (UK). |
Ready-to-deploy agents segment to account for largest market share during forecast period
The major factor driving the use of pre-made (ready-to-deploy) AI agents is the pressing need for fast and affordable AI agents that require minimal technical knowledge to implement. These pre-set AI agents provide companies with a quick method to improve operations without the time-consuming custom development process. For example, businesses such as Zendesk offer AI-driven chatbots that can be easily added to customer support platforms to automate replies and enhance customer service right away. Salesforce also provides pre-built AI tools for sales and marketing automation, allowing companies to customize customer engagements and improve campaigns easily. The quick deployment and proven effectiveness of these agents make them an appealing choice for companies intending to use AI efficiently in a fast-moving market.
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By end user, enterprises segment to account for larger market share than consumers segment in 2025
Enterprise end users are the most significant contributors to the AI agent market as the scale of their operations is massive and complicated, keeping them in constant demand for AI-enabled automation, efficiency, and data-driven decision-making processes. These companies typically manage vast amounts of data and complex workflow systems with numerous clients, making them potential beneficiaries of AI agents that can streamline processes, enhance customer satisfaction, and provide insightful reports. For instance, IBM and Microsoft use AI agents in managing their IT desks, where these agents respond to basic support problems, thus reducing response periods while leaving enough time for human beings to handle difficult issues. In financial services, firms like JPMorgan Chase employ AI agents to detect cases of fraud or manage risks by analyzing millions of transactions instantly to flag suspicious acts or behavior patterns within them. In the retail sector, companies like Amazon employ AI agents to bring a personalized experience to their clients, ensure an efficient supply chain, and regulate pricing strategies.
By region, North America to hold largest market share by value in 2025
North America’s leading position in the AI agents market is mainly because of its unmatched focus on technological advancement, significant financial backing, and early AI acceptance in various industries. Tech leaders like Google, Microsoft, and Amazon are at the forefront of developing AI agents and integrating them extensively into both their operations and those of their clients. One example is how Amazon has transformed the effectiveness of its logistics and supply chain management through the implementation of AI agents, allowing for extensive real-time tracking, inventory control, and predictive analytics. The utilization of AI agents within Microsoft’s Azure platform is enabling businesses throughout North America to automate intricate procedures and improve decision-making with insights powered by AI. Bank of America’s AI-powered virtual assistant, Erica, has gained popularity for delivering customized customer assistance and financial guidance, handling more than one billion client interactions since it was introduced. North America’s emphasis on AI in healthcare is also demonstrated through companies such as IBM Watson Health, which uses AI agents to help with clinical decision-making and patient care. North America has the biggest and most advanced market for AI agents worldwide due to the strong venture capital ecosystem and government backing for AI research in the region.
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Top Key Companies in AI Agents Market:
The major players in the AI agents market include Google (US), Amelia (US), IBM (US), OpenAI (US), and AWS (US). Some of the SMEs and startups are Fluid AI (India), Stability AI (UK), Cognigy (Germany), Aisera (US), and Cognosys (Canada).
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