에이전틱 AI 컨설팅 서비스 : 시장 점유율 분석, 업계 동향과 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the agentic AI consulting services market size was valued at USD 2.86 billion in 2025 and estimated to grow from USD 3.55 billion in 2026 to reach USD 10.27 billion by 2031, at a CAGR of 23.67% during the forecast period (2026-2031).

Global Agentic AI Consulting Services Market Trends and Insights

Enterprise Demand for Autonomous Workflow Transformation

The Agentic AI Consulting Services Market benefits when enterprises commit funding to autonomous workflows rather than isolated demonstrations. Organizations need help defining which activities can be automated, what approvals remain with people, and how results should be measured. This need extends from early planning to production support, as workflows often span finance, operations, service, and compliance teams. Client interest is also shifting toward commercial models tied to operating outcomes rather than consultant time. That shift favors providers that can set clear delivery milestones and maintain control standards throughout deployment.

Rising Complexity of Multi-Agent Enterprise Deployments

The Agentic AI Consulting Services Market is supported by the difficulty of moving from a single agent to coordinated systems that interact with business applications. These systems need reliable data access, task routing, memory controls, observation tools, and procedures for exceptions. Legacy systems and uneven data quality can slow implementation even when the target use case is well defined. Human review remains important when an agent supports material decisions or actions. IBM and SAP expanded their collaboration in 2026 to enable interactions between IBM Consulting Advantage agents and SAP Joule agents, highlighting the technical coordination required for cross-platform deployments.

Unclear Return on Investment for High-Autonomy Workflows

The Agentic AI Consulting Services Market may see slower buying decisions when clients cannot connect agent deployments to measurable operational outcomes. A proof of concept may show technical capability without proving that it improves a full business process. Integration work, data remediation, and governance review can also delay the point at which returns become visible. Finance leaders may therefore prefer phased engagements with defined milestones instead of broad transformation contracts. Providers that bring validated use cases and transparent performance measures are better placed to convert pilots into production programs.

Other drivers and restraints analyzed in the detailed report include:

1. Growing Need for AI Governance and Sovereign AI Readiness
2. Expansion of Agentic AI Use Cases Across Regulated Industries
3. Fragmented Agent Interoperability and Evaluation Standards

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

Segment Analysis

Implementation and systems integration consulting held 31.53% of the agentic AI consulting services market in 2025. The segment leads because organizations must connect agents to enterprise resource planning, customer relationship management, service management, and operational platforms. These projects require data pipelines, application interfaces, access controls, and process testing. The work often continues after launch because business rules and source systems change. Implementation teams also need to document failure paths and escalation procedures. Agent architecture and solution design are projected to grow at a 24.13% CAGR through 2031. Its growth reflects demand for decisions on agent roles, task routing, memory management, tool access, and human oversight.

Strategy and readiness consulting remain important at the start of an enterprise program. It helps clients prioritize use cases, identify operating risks, and set decision rights before technical work begins. Data, cloud, and infrastructure consulting support the systems that give agents reliable access to company information. Those systems can include retrieval workflows, data governance controls, and monitoring tools. The Agentic AI Consulting Services Market also includes emerging needs such as AgentOps, agent evaluation design, and model risk management. IBM introduced Context Studio and Process Studio in May 2026 to help clients ground agents in organizational data and turn operating procedures into agent-ready workflows. These capabilities show why architecture and integration work must proceed together. Providers that combine business process knowledge with technical delivery can address a larger share of the work.

Cloud deployment accounted for 64.28% of the agentic AI consulting services market in 2025. It leads because cloud services provide managed model access, data storage, monitoring, and computing capacity. Consultants can focus on workflow configuration and enterprise integration instead of building each infrastructure layer. Cloud platforms also make it easier to update models and observability tools as a program develops. This approach can support faster deployment for use cases with clear data and control requirements. Cloud deployment is projected to grow at a 24.44% CAGR through 2031. The pattern shows that enterprises are using managed services to reduce operational burden in production agent programs.

On-premises deployment remains relevant for organizations with strict data-residency, security, or audit requirements. Financial institutions, government agencies, and defense-related users may need greater control over inference, data handling, and decision records. The EU AI Act reinforces the need for documentation and oversight in relevant high-risk AI applications. These conditions can increase the scope and duration of deployment consulting. Accenture and Google Cloud launched the Gemini Enterprise Acceleration Program in April 2026 with sovereign-deployment-ready agents. This indicates that sovereign and controlled deployment models are becoming a defined service area. The two deployment approaches will continue to coexist because client requirements differ by risk profile and geography.

Complete Report Scope:

• By Service Type
  • Strategy and Readiness Consulting
  • Agent Architecture and Solution Design
  • Data, Cloud, and Infrastructure Consulting
  • Implementation and Systems Integration Consulting
  • Governance, Risk, and Compliance Consulting
  • Change Management and Workforce Enablement
  • AgentOps Optimization and Managed Services
  • Other Service Type
• By Deployment
  • Cloud Deployment
  • On-Premises Deployment
• By Organization Size
  • Large Enterprises
  • Small and Medium-Sized Enterprises
• By End User
  • BFSI
  • Healthcare and Life Sciences
  • Information Technology and Telecommunications
  • Retail and E-Commerce
  • Government and Public Sector
  • Automotive
  • Energy and Utilities
  • Logistics and Transportation
  • Media and Entertainment
  • Education
  • Real Estate
  • Other End Users
• By Application
  • Predictive Analytics and Decision Support
  • Customer Experience and Contact Center Transformation
  • RPA Integration and Process Orchestration
  • Software Development and Testing
  • Cybersecurity Operations
  • Finance and Accounting Operations
  • Supply Chain and Procurement
  • Human Resources and Workforce Operations
  • Regulatory Compliance and Risk Management
  • Other Applications
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Chile
    • Rest of South America
  • Europe
    • Germany
    • United Kingdom
    • France
    • Italy
    • Spain
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Rest of Asia-Pacific
  • Middle East
    • United Arab Emirates
    • Saudi Arabia
    • Qatar
    • Rest of Middle East
  • Africa
    • South Africa
    • Egypt
    • Nigeria
    • Rest of Africa

Geography Analysis

North America held 38.73% of the agentic AI consulting services market in 2025. The region benefits from a large base of enterprises with mature technology programs and access to major consulting and platform providers. Client work is increasingly focused on moving defined agent use cases from trials into production operations. Google announced a USD 750 million commitment in April 2026 to support partner agentic AI development with Accenture, Deloitte, McKinsey, and BCG. This strengthens the role of large partner ecosystems in the region. North American engagements are likely to combine platform implementation with workflow redesign and governance support.

Asia-Pacific is projected to grow at a 24.61% CAGR through 2031. The region combines rapid enterprise adoption with government interest in locally controlled AI infrastructure. Microsoft reported in April 2025 that 53% of Asia-Pacific leaders were using agents to automate entire workstreams and that 74% were highly familiar with AI agents. India and Singapore are important early markets for consulting work as enterprises and public institutions prioritize agent-enabled operations. Japan shows a more cautious pattern, supporting demand for human-in-the-loop designs. India-based IT services firms also have a broad platform deployment base through their Microsoft partnerships.

Europe has significant demand from Germany, the United Kingdom, and France, particularly in regulated sectors. The EU AI Act is fully applicable as of August 2, 2026, and introduces compliance requirements for relevant systems. This creates opportunities in governance consulting while also lengthening implementation timelines. Santander's regulated AI-agent payment in Europe provides an early operational example for financial services firms. South America is developing from a smaller base, with Brazil's financial sector offering a potential entry point for automation services. The Middle East is focused on sovereign AI infrastructure and strategy work, especially in the United Arab Emirates and Saudi Arabia. Africa remains at an earlier stage because limitations in skills and infrastructure can delay wider adoption.

List of Companies Covered in this Report:

1. Accenture plc
2. International Business Machines Corporation
3. Deloitte Touche Tohmatsu Limited
4. PricewaterhouseCoopers International Limited
5. Ernst & Young Global Limited
6. McKinsey & Company, Inc.
7. Boston Consulting Group, Inc.
8. Bain & Company, Inc.
9. Capgemini SE
10. KPMG International Cooperative
11. Tata Consultancy Services Limited
12. Cognizant Technology Solutions Corporation
13. Wipro Limited
14. HCL Technologies Limited
15. NTT DATA Corporation
16. Avanade Inc.
17. ServiceNow, Inc.
18. Salesforce, Inc.
19. UiPath, Inc.
20. EPAM Systems, 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 Transformation
  • 4.2.2 Rising Complexity of Multi-Agent Enterprise Deployments
  • 4.2.3 Growing Need for AI Governance and Sovereign AI Readiness
  • 4.2.4 Shortage of Specialized Agentic AI Engineering and Change-Management Talent
  • 4.2.5 Expansion of Agentic AI Use Cases Across Regulated Industries
  • 4.2.6 Shift Toward Outcome-Based Agentic AI Transformation Programs
• 4.3 Market Restraints
  • 4.3.1 Unclear Return on Investment for High-Autonomy Workflows
  • 4.3.2 Fragmented Agent Interoperability and Evaluation Standards
  • 4.3.3 Rising Compute, Inference, and AgentOps Costs
  • 4.3.4 Accountability Gaps in Autonomous Decision-Making
• 4.4 Impact of Macroeconomic Factors on the Market
• 4.5 Industry Value-Chain Analysis
• 4.6 Technology Outlook
• 4.7 Regulatory Landscape
• 4.8 Porter's Five Forces Analysis
  • 4.8.1 Threat of New Entrants
  • 4.8.2 Bargaining Power of Suppliers
  • 4.8.3 Bargaining Power of Buyers
  • 4.8.4 Threat of Substitutes
  • 4.8.5 Intensity of Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Service Type
  • 5.1.1 Strategy and Readiness Consulting
  • 5.1.2 Agent Architecture and Solution Design
  • 5.1.3 Data, Cloud, and Infrastructure Consulting
  • 5.1.4 Implementation and Systems Integration Consulting
  • 5.1.5 Governance, Risk, and Compliance Consulting
  • 5.1.6 Change Management and Workforce Enablement
  • 5.1.7 AgentOps Optimization and Managed Services
  • 5.1.8 Other Service Type
• 5.2 By Deployment
  • 5.2.1 Cloud Deployment
  • 5.2.2 On-Premises Deployment
• 5.3 By Organization Size
  • 5.3.1 Large Enterprises
  • 5.3.2 Small and Medium-Sized Enterprises
• 5.4 By End User
  • 5.4.1 BFSI
  • 5.4.2 Healthcare and Life Sciences
  • 5.4.3 Information Technology and Telecommunications
  • 5.4.4 Retail and E-Commerce
  • 5.4.5 Government and Public Sector
  • 5.4.6 Automotive
  • 5.4.7 Energy and Utilities
  • 5.4.8 Logistics and Transportation
  • 5.4.9 Media and Entertainment
  • 5.4.10 Education
  • 5.4.11 Real Estate
  • 5.4.12 Other End Users
• 5.5 By Application
  • 5.5.1 Predictive Analytics and Decision Support
  • 5.5.2 Customer Experience and Contact Center Transformation
  • 5.5.3 RPA Integration and Process Orchestration
  • 5.5.4 Software Development and Testing
  • 5.5.5 Cybersecurity Operations
  • 5.5.6 Finance and Accounting Operations
  • 5.5.7 Supply Chain and Procurement
  • 5.5.8 Human Resources and Workforce Operations
  • 5.5.9 Regulatory Compliance and Risk Management
  • 5.5.10 Other Applications
• 5.6 By Geography
  • 5.6.1 North America
    • 5.6.1.1 United States
    • 5.6.1.2 Canada
    • 5.6.1.3 Mexico
  • 5.6.2 South America
    • 5.6.2.1 Brazil
    • 5.6.2.2 Argentina
    • 5.6.2.3 Chile
    • 5.6.2.4 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 Japan
    • 5.6.4.3 India
    • 5.6.4.4 South Korea
    • 5.6.4.5 Australia
    • 5.6.4.6 Rest of Asia-Pacific
  • 5.6.5 Middle East
    • 5.6.5.1 United Arab Emirates
    • 5.6.5.2 Saudi Arabia
    • 5.6.5.3 Qatar
    • 5.6.5.4 Rest of Middle East
  • 5.6.6 Africa
    • 5.6.6.1 South Africa
    • 5.6.6.2 Egypt
    • 5.6.6.3 Nigeria
    • 5.6.6.4 Rest of 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 Accenture plc
  • 6.4.2 International Business Machines Corporation
  • 6.4.3 Deloitte Touche Tohmatsu Limited
  • 6.4.4 PricewaterhouseCoopers International Limited
  • 6.4.5 Ernst & Young Global Limited
  • 6.4.6 McKinsey & Company, Inc.
  • 6.4.7 Boston Consulting Group, Inc.
  • 6.4.8 Bain & Company, Inc.
  • 6.4.9 Capgemini SE
  • 6.4.10 KPMG International Cooperative
  • 6.4.11 Tata Consultancy Services Limited
  • 6.4.12 Cognizant Technology Solutions Corporation
  • 6.4.13 Wipro Limited
  • 6.4.14 HCL Technologies Limited
  • 6.4.15 NTT DATA Corporation
  • 6.4.16 Avanade Inc.
  • 6.4.17 ServiceNow, Inc.
  • 6.4.18 Salesforce, Inc.
  • 6.4.19 UiPath, Inc.
  • 6.4.20 EPAM Systems, Inc.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment