멀티 에이전트 시스템 시장 : 시장 점유율 분석, 업계 동향 및 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the multi-Agent systems market size is expected to grow from USD 4.72 billion in 2025 to USD 5.84 billion in 2026 and is forecast to reach USD 20.98 billion by 2031 at 29.15% CAGR over 2026-2031.

This report is Segmented by Component (Software and Services), Deployment Mode (Cloud and On-Premises), Enterprise Size (Large Enterprises, and Small and Medium Enterprises), Application (Workflow and Process Orchestration, Software Engineering Automation, and More), End-User Industry (BFSI, IT and Telecommunications, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Multi-Agent Systems Market Trends and Insights

Enterprise Demand for Autonomous Workflow Orchestration

Autonomous workflow orchestration has moved beyond pilot testing and is becoming a formal enterprise priority in the multi-agent systems market. Buyers are no longer looking for isolated agent functions, because higher-value workflows usually require several specialized agents to share state, tools, and escalation rules across the same process. This is especially relevant in procurement approvals, regulatory reporting, finance operations, and IT change management, where a single workflow often crosses several internal teams before completion. As a result, the multi-agent systems market is seeing stronger demand for orchestration platforms that bundle workflow control, governance, routing, and integration into a single operating environment. That shift is also lifting contract scope, because enterprises increasingly want orchestration software, middleware, and policy management together rather than as separate purchases. Vendors that secure this orchestration layer early are in a stronger position to retain customers as deployments widen across enterprise functions.

Convergence of Large Language Models and Multi-Agent Frameworks

The convergence of large language models and structured orchestration frameworks is widening the range of problems that the multi-agent systems market can address. Microsoft made multi-agent orchestration generally available in Copilot Studio in April 2026, allowing agents built across Microsoft Fabric, the Microsoft 365 Agents SDK, and the open A2A protocol to work toward shared enterprise goals. This is separating the vendor field into platforms built for tightly governed execution and systems aimed at more exploratory or research-led tasks. NVIDIA also introduced its Agent Toolkit in March 2026, combining open models, runtime components, and enterprise integrations to reduce the operational barrier to agent deployment. Lower deployment friction matters because the multi-agent systems market still faces cost sensitivity in small and medium business environments. As LLM reasoning becomes easier to integrate with orchestration logic, the multi-agent systems market is likely to see broader adoption for functions that were previously too complex for rule-based automation alone.

Lack of Interoperability Standards Across Agent Frameworks

Interoperability remains one of the clearest limits on wider adoption in the multi-agent systems market. Agents built on different frameworks still do not exchange task state, memory, or governance metadata in a native, consistent way, forcing enterprises to build custom integration layers around them. That increases delivery time, raises implementation cost, and makes system behavior harder to monitor when several frameworks are used in the same deployment. Even though the A2A protocol has improved cross-vendor delegation, enterprises still need additional controls to manage governance and workflow consistency across broader production environments. This problem is especially visible in large organizations where agent sprawl is increasing faster than standardization. In the multi-agent systems market, the result is a slower platform-buying cycle and greater reliance on systems integration effort before scale can be achieved.

Other drivers and restraints analyzed in the detailed report include:

1. Rising Need for Real-Time Distributed Decision Making
2. Expansion of Robotics and Industrial Automation Coordination
3. Governance, Auditability, and Compliance Complexity

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Software held 67.23% share in 2025 and remained the largest revenue base across the multi-agent systems market. This segment includes orchestration platforms, agent development frameworks, and coordination middleware, which explains why enterprise spending is concentrated in platform licensing and subscription-led delivery models. Buyers typically begin with software because that is where routing logic, governance controls, and tool integration are defined before any broader services layer is added. In the multi-agent systems market, software revenue also benefits from renewal economics because once an enterprise standardizes its orchestration logic, switching becomes more disruptive. IBM expanded watsonx Orchestrate at Think 2026 into a broader agentic control plane, which shows how software vendors are deepening the platform layer to keep strategic control of enterprise deployments.

Services are projected to grow at a 29.01% CAGR through 2031, making them the faster-growing subsegment in the multi-agent systems market. The main reason is that many deployments still require consulting, integration, testing, customization, and managed support before they can move from the pilot stage to broad production use. Integration work is especially important when agent systems must connect with ERP, CRM, HRMS, data governance, and security tools that were not built for shared agent orchestration. This has created a situation in which service growth is strong even as enterprises aim to reduce long-term dependence on manual deployment support. The multi-agent systems industry is therefore seeing software vendors invest in visual builders, reusable templates, and low-code development layers to reduce the intensity of professional services over time. As a result, the multi-agent systems market keeps software as its revenue anchor, while services expand alongside increasing implementation complexity.

Cloud accounted for 73.56% of the multi-agent systems market size in 2025 and advanced at a 28.32% CAGR through 2031. Cloud led because hyperscaler-managed endpoints reduce the burden of infrastructure scaling, runtime patching, and orchestration maintenance for enterprises that want faster deployment. This gives buyers a shorter path to production, especially in early-adopter phases when internal agent engineering capacity is limited. The multi-agent systems market also favors cloud for horizontal enterprise use cases because managed environments can provide baseline governance interfaces without requiring custom infrastructure work upfront. That early advantage has helped Cloud become the default deployment mode for broad workflow orchestration across several business functions.

On-premises has still gained a stronger footing in regulated and sovereignty-sensitive environments within the multi-agent systems market. Defense, healthcare, public sector, and financial services buyers often need tighter control over data residency, security boundaries, and operational accountability than standard public cloud models can easily support. UiPath addressed this requirement in May 2026 by extending agentic AI capabilities on Automation Suite for the public sector, enabling government organizations to run and govern these deployments within their own environments. That kind of move matters because on-premises deployments often carry higher contract values due to bundled infrastructure, support, and governance layers. The multi-agent systems market is therefore not treating on-premises as a declining model, but as a premium architecture for buyers with stricter control needs.

Complete Report Scope:

• By Component
  • Software (Including Agent Orchestration Platforms, Agent Development Frameworks, Agent Communication Middleware, Agent Monitoring and Observability Solutions, and Agent Governance and Policy Engines)
  • Services (Including Consulting Services, System Integration Services, Deployment and Managed Services, and Training and Support Services)
• By Deployment Mode
  • Cloud
  • On-Premises
• By Enterprise Size
  • Large Enterprises
  • Small and Medium Enterprises
• By Application
  • Workflow and Process Orchestration
  • Software Engineering Automation
  • Autonomous Research and Analysis
  • Cybersecurity Automation
  • Supply Chain and Logistics Optimization
  • Other Applications (Customer Service Automation, Decision Support and Planning, Simulation and Digital Twin Modeling, etc.)
• By End-User Industry
  • BFSI
  • IT and Telecommunications
  • Manufacturing
  • Healthcare and Life Sciences
  • Retail and E-Commerce
  • Transportation and Logistics
  • Other End-User Industries (Government and Defense, Energy and Utilities, Media and Entertainment, etc.)
• By Geography
  • North America
    • United States
    • Canada
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Europe
    • Germany
    • United Kingdom
    • France
    • Italy
    • Spain
    • Rest of Europe
  • Asia-Pacific
    • China
    • India
    • Japan
    • South Korea
    • Australia and New Zealand
    • Singapore
    • Rest of Asia-Pacific
  • Middle East and Africa
    • GCC Countries
    • Turkey
    • South Africa
    • Rest of Middle East and Africa

Geography Analysis

North America accounted for 41.89% share in 2025 and remained the largest regional base in the multi-agent systems market. The region benefits from the concentration of hyperscaler investment, platform incumbents, and large enterprise AI budgets that can support orchestration, governance, and compute spending together. The United States remains the core adoption center because it combines software platform leadership with strong enterprise demand across financial services, healthcare, defense, and digital business functions. Canada is developing as a secondary node through financial services modernization and public-sector digitization. Cloud Security Alliance commentary tied to NIST CAISI also highlights how compliance-aware standards and governance expectations are shaping procurement behavior across North American enterprise environments.

Asia-Pacific is projected to record the fastest regional CAGR at 29.81% through 2031, making it the most dynamic growth zone in the multi-agent systems market. China is directing capital toward manufacturing supervision and logistics coordination through sovereign AI programs. India provides a scalable demand engine because IT services firms are re-skilling engineers for agent engineering and embedding orchestration capabilities into delivery contracts. Japan is pushing adoption through labor-substitution needs in manufacturing, while Singapore supports localized deployment through data-sovereignty compliant cloud nodes. South Korea, Australia, and New Zealand add further demand through electronics, semiconductors, and enterprise automation priorities, giving the multi-agent systems market a broad regional growth base rather than a single-country story.

Europe is seeing demand centered in Germany, the United Kingdom, and France, where industrial automation, enterprise software use, and financial services support deployment in the multi-agent systems market. The region is distinctive because the same compliance pressure that slows some production rollouts is also increasing interest in governance-native orchestration tools. That creates a more selective buying pattern in which transparency, accountability, and the choice of deployment model carry more weight than speed alone. In the Middle East and Africa, adoption is still early, but Saudi Arabia and the UAE are investing through national digital transformation and AI infrastructure priorities, while Turkey and South Africa represent stronger enterprise clusters in banking automation and telecom operations. Taken together, these patterns show that the multi-agent systems market is regionalizing around governance requirements, industrial structure, and national digital capacity.

1. Microsoft Corporation
2. Google LLC
3. Amazon Web Services, Inc.
4. OpenAI, LLC
5. IBM Corporation
6. Salesforce, Inc.
7. ServiceNow, Inc.
8. UiPath, Inc.
9. Anthropic PBC
10. LangChain, Inc.
11. CrewAI Inc.
12. LlamaIndex, Inc.
13. Automation Anywhere, Inc.
14. SAP SE
15. Oracle Corporation
16. NVIDIA Corporation
17. Writer, Inc.
18. Cohere Inc.
19. Glean Technologies, Inc.
20. Moveworks, Inc.

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 Enterprise Demand for Autonomous Workflow Orchestration
  • 4.2.2 Convergence of Large Language Models and Multi-Agent Frameworks
  • 4.2.3 Rising Need for Real-Time Distributed Decision Making
  • 4.2.4 Expansion of Robotics and Industrial Automation Coordination
  • 4.2.5 Growth of Cloud-Native Agent Development Stacks
  • 4.2.6 Increasing Reuse of Open-Source Agent Frameworks and Tooling
• 4.3 Market Restraints
  • 4.3.1 Lack of Interoperability Standards Across Agent Frameworks
  • 4.3.2 Governance, Auditability, and Compliance Complexity
  • 4.3.3 Escalating Compute, Inference, and API Orchestration Costs
  • 4.3.4 Scarcity of Multi-Agent System-Ready Engineering Talent
• 4.4 Industry Value Chain Analysis
• 4.5 Regulatory Landscape
• 4.6 Technological Outlook
• 4.7 Porter's Five Forces Analysis
  • 4.7.1 Bargaining Power of Suppliers
  • 4.7.2 Bargaining Power of Buyers
  • 4.7.3 Threat of New Entrants
  • 4.7.4 Threat of Substitutes
  • 4.7.5 Competitive Rivalry
• 4.8 Impact of Macroeconomic Factors on the Market

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Component
  • 5.1.1 Software (Including Agent Orchestration Platforms, Agent Development Frameworks, Agent Communication Middleware, Agent Monitoring and Observability Solutions, and Agent Governance and Policy Engines)
  • 5.1.2 Services (Including Consulting Services, System Integration Services, Deployment and Managed Services, and Training and Support Services)
• 5.2 By Deployment Mode
  • 5.2.1 Cloud
  • 5.2.2 On-Premises
• 5.3 By Enterprise Size
  • 5.3.1 Large Enterprises
  • 5.3.2 Small and Medium Enterprises
• 5.4 By Application
  • 5.4.1 Workflow and Process Orchestration
  • 5.4.2 Software Engineering Automation
  • 5.4.3 Autonomous Research and Analysis
  • 5.4.4 Cybersecurity Automation
  • 5.4.5 Supply Chain and Logistics Optimization
  • 5.4.6 Other Applications (Customer Service Automation, Decision Support and Planning, Simulation and Digital Twin Modeling, etc.)
• 5.5 By End-User Industry
  • 5.5.1 BFSI
  • 5.5.2 IT and Telecommunications
  • 5.5.3 Manufacturing
  • 5.5.4 Healthcare and Life Sciences
  • 5.5.5 Retail and E-Commerce
  • 5.5.6 Transportation and Logistics
  • 5.5.7 Other End-User Industries (Government and Defense, Energy and Utilities, Media and Entertainment, etc.)
• 5.6 By Geography
  • 5.6.1 North America
    • 5.6.1.1 United States
    • 5.6.1.2 Canada
  • 5.6.2 South America
    • 5.6.2.1 Brazil
    • 5.6.2.2 Argentina
    • 5.6.2.3 Rest of South America
  • 5.6.3 Europe
    • 5.6.3.1 Germany
    • 5.6.3.2 United Kingdom
    • 5.6.3.3 France
    • 5.6.3.4 Italy
    • 5.6.3.5 Spain
    • 5.6.3.6 Rest of Europe
  • 5.6.4 Asia-Pacific
    • 5.6.4.1 China
    • 5.6.4.2 India
    • 5.6.4.3 Japan
    • 5.6.4.4 South Korea
    • 5.6.4.5 Australia and New Zealand
    • 5.6.4.6 Singapore
    • 5.6.4.7 Rest of Asia-Pacific
  • 5.6.5 Middle East and Africa
    • 5.6.5.1 GCC Countries
    • 5.6.5.2 Turkey
    • 5.6.5.3 South Africa
    • 5.6.5.4 Rest of Middle East and Africa

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Strategic Moves
• 6.3 Market Share Analysis
• 6.4 Company Profiles (includes Global Level Overview, Market Level Overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share, Products and Services, Recent Developments)
  • 6.4.1 Microsoft Corporation
  • 6.4.2 Google LLC
  • 6.4.3 Amazon Web Services, Inc.
  • 6.4.4 OpenAI, LLC
  • 6.4.5 IBM Corporation
  • 6.4.6 Salesforce, Inc.
  • 6.4.7 ServiceNow, Inc.
  • 6.4.8 UiPath, Inc.
  • 6.4.9 Anthropic PBC
  • 6.4.10 LangChain, Inc.
  • 6.4.11 CrewAI Inc.
  • 6.4.12 LlamaIndex, Inc.
  • 6.4.13 Automation Anywhere, Inc.
  • 6.4.14 SAP SE
  • 6.4.15 Oracle Corporation
  • 6.4.16 NVIDIA Corporation
  • 6.4.17 Writer, Inc.
  • 6.4.18 Cohere Inc.
  • 6.4.19 Glean Technologies, Inc.
  • 6.4.20 Moveworks, Inc.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment