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Segmentation, Major Trends, and Competitive Overview of the Multi-Agent System Market
Multi-Agent System Market
Projected Market Size and Growth Outlook for the Multi-Agent System Market
The global multi-agent system market is anticipated to witness significant growth, reaching a value of $25.47 billion by 2030. This corresponds to a compound annual growth rate (CAGR) of 33.6% during the forecast period. Factors contributing to this rapid expansion include the growing use of artificial intelligence (AI) within autonomous agents, heightened demand for decentralized frameworks to solve complex problems, increasing adoption of intelligent automation across various industries, and the broadening deployment of smart infrastructures and Internet of Things (IoT) networks. Additionally, the rising application of multi-agent coordination in large-scale simulations supports this upward trajectory. Key trends shaping the market include innovations in autonomous agent architectures, progress in AI-based communication protocols, improvements in agent-based simulation and modeling tools, intensified research in cooperative and swarm intelligence systems, and advancements in scalable, adaptive multi-agent platforms.
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Leading Corporations Influencing the Multi-Agent System Market Landscape
Several prominent companies are driving innovation and competition in the multi-agent system market. These include Amazon Web Services Inc., Google LLC, Microsoft Corporation, OpenAI L.L.C., crac*ker Technology Corp., Automation Anywhere Inc., Anthropic PBC, GreyOrange Pte. Ltd., Kore.ai Inc., Moveworks Inc., UnifyApps Inc., Aisera Inc., LangChain Inc., LlamaIndex Inc., Scensei, Beam AI Inc., Relevance AI Pty Ltd., CrewAI Inc., AnyLogic Company, Swarms AI, SmythOS Inc., Eigent AI, Akira AI, and AgentX (AgentX.so).
A noteworthy industry development occurred in July 2025 when NICE Ltd., a US-based provider specializing in AI-driven customer experience and enterprise communication solutions, completed the acquisition of Cognigy GmbH for $955 million. This strategic move enhanced NICE's AI-powered customer experience platform by integrating Cognigy's advanced conversational and agentic AI features. Cognigy GmbH, headquartered in Germany, is known for its AI conversational platforms enabling multi-agent system automation for enterprises, thereby creating a comprehensive AI-native customer experience stack that streamlines workflows and automates customer interactions.
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Recent Trends Steering the Multi-Agent System Market
Innovations in multi-agent AI platforms are at the forefront of market developments as companies aim to enhance service delivery, speed up innovation, and complement human expertise on a global scale. These platforms feature multiple intelligent AI agents capable of interacting seamlessly with each other and with human professionals. By harnessing large language models (LLMs), they deliver reliable, context-aware solutions while ensuring smooth interoperability across diverse enterprise systems.
For example, in June 2025, Klynveld Peat Marwick Goerdeler (KPMG), a professional services firm based in the Netherlands, introduced KPMG Workbench. This AI platform, built on Microsoft Azure AI Foundry Services, includes a network of 50 AI assistants, with nearly a thousand more in development. It supports scalable, secure, and efficient AI integration, empowering professionals worldwide to provide faster and higher-quality client solutions.
Segments and Market Share Forecasts Within the Global Multi-Agent System Market
This report breaks down the multi-agent system market into several key segments for a detailed analysis:
1) By Agent System Type: Single Agent Systems, Multi-Agent Systems
2) By Deployment Mode: Cloud, On Premises
3) By Application: Customer Service and Virtual Assistants, Robotics and Automation, Healthcare, Financial Services, Security and Surveillance, Gaming and Entertainment, Marketing and Sales, Human Resources, Other Applications
4) By End Use Industry: Manufacturing, Supply Chain and Logistics, Healthcare and Life Sciences, Banking Financial Services and Insurance, Other End Use Industries
Further subcategories include:
- For Single Agent Systems: Reactive Agent Systems, Deliberative Agent Systems, Hybrid Agent Systems
- For Multi-Agent Systems: Cooperative Agent Systems, Competitive Agent Systems, Hybrid Multi-Agent Systems
These segments provide a comprehensive framework for understanding the market's structure, with each category highlighting important use cases, deployment preferences, and technological distinctions that influence market dynamics and growth potential.
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