에이전틱 AI 시장 : 제공별(개발 플랫폼, 오케스트레이션 및 런타임 플랫폼, 프로세스 자동화 플랫폼, 기구축 에이전틱 AI 애플리케이션), 용도별(고객 서비스 및 서포트, RevOps, ITOps, BI 및 애널리틱스) - 세계 예측(-2033년)

The global agentic AI market is projected to grow from USD 19.33 billion in 2026 to USD 205.88 billion by 2033, at a CAGR of 40.2% during the forecast period. Growth is being supported by enterprises moving beyond conversational assistants and copilots toward AI systems capable of planning, maintaining context, invoking tools, coordinating tasks, and executing multi-step workflows with defined levels of autonomy.

Adoption is expanding as organizations seek measurable gains in productivity, cycle-time reduction, service responsiveness, and process scalability rather than limiting AI investment to content generation or information retrieval. The technology landscape is also becoming more suitable for enterprise deployment as vendors strengthen orchestration, memory, tool connectivity, identity, evaluation, observability, security, and runtime controls. Increasing adoption of interoperability mechanisms such as MCP and agent-to-agent communication is further reducing integration barriers across heterogeneous technology environments.

"Demand for scalable agent platforms is expected to position software as the fastest-growing offering during the forecast period"

Software is expected to be the fastest-growing offering in the agentic AI market during 2026-2033, as enterprises increasingly transition from experimental agent implementations toward reusable and governed software environments. Demand is growing across agent development platforms, orchestration and runtime systems, memory and context management, connectivity and tool integration, governance and observability, process automation, enterprise agent platforms, and prebuilt functional applications. Enterprises increasingly need software that can coordinate multiple models, tools, APIs, business applications, and data sources while maintaining policy controls and clearly defined autonomy boundaries. This is strengthening demand for integrated platforms that combine agent creation with deployment, monitoring, evaluation, enterprise connectivity, and security. Vendors that provide interoperable architectures, deep enterprise connectors, strong governance, and transparent operating economics will be better positioned to capture software spending as organizations scale agent estates across functions and geographies.

"Early production deployment across high-volume service workflows is expected to keep customer service & support at the forefront of application share in 2026"

By application, customer service & support is expected to account for the largest share of the agentic AI market in 2026, supported by high interaction volumes, mature digital channels, extensive knowledge bases, and relatively clear metrics for assessing business value. Unlike conventional chatbots that primarily answer questions, agentic AI can access customer records, retrieve contextual information, update systems, reset credentials, initiate transactions, process requests, coordinate follow-up actions, and escalate complex issues while preserving relevant context. This allows enterprises to automate more of the service journey, not just the conversational front end. Measurable outcomes such as autonomous resolution rates, reduced handling time, lower escalation volumes, improved response speed, and 24/7 service availability make customer service particularly attractive for early production deployment. Vendors can strengthen their positioning through multilingual capabilities, reliable exception handling, real-time enterprise data access, contextual personalization, and seamless human handoffs when a task exceeds defined agent permissions or risk thresholds.

"Strong platform concentration and enterprise readiness are expected to sustain North America's leadership in 2026, while Asia Pacific records the fastest regional growth between 2026 and 2033"

North America is expected to remain the largest regional market for agentic AI in 2026, supported by high enterprise technology spending, mature cloud adoption, and the concentration of leading hyperscalers and agent-native startups. The region has a large installed base of CRM, ITSM, productivity, developer, workflow, and data platforms, enabling organizations to embed agents into existing digital processes rather than establish entirely new technology environments. Strong access to AI talent, venture funding, cloud infrastructure, and system integration capabilities further accelerate commercialization. The US also benefits from policy initiatives supporting AI innovation, infrastructure expansion, and domestic technology leadership, strengthening investment across compute, data centers, enterprise software, and AI development.

Asia Pacific is expected to record the fastest growth during the forecast period, supported by rapid digitalization, expanding AI infrastructure, and increasing enterprise adoption across China, India, Japan, South Korea, Singapore, and Australia. Technology services, financial services, manufacturing, telecommunications, retail, and public-sector organizations are increasingly exploring agentic AI for workflow automation and decision support. The region also presents strong opportunities for localized and sovereign agent deployments as enterprises seek solutions aligned with domestic languages, regulatory requirements, data residency, and local business systems. Vendors that combine global platform capabilities with regional model support, local integrations, strong partner ecosystems, and country-specific governance requirements are likely to be better positioned to capture the region's expanding agentic AI opportunity.

Breakdown of Primaries

In-depth interviews were conducted with chief executive officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the agentic AI market.

• By Company: Tier 1 - 46%, Tier 2 - 29%, and Tier 3 - 25%
• By Designation: Directors - 34%, Managers - 48%, and Others - 18%
• By Region: North America - 55%, Europe - 18%, Asia Pacific - 16%, Middle East & Africa - 7%, and Latin America - 4%

AWS (US), Microsoft (US), Google (US), IBM (US), OpenAI (US), Anthropic (US), Salesforce (US), ServiceNow (US), Oracle (US), SAP (Germany), Databricks (US), Snowflake (US), Palantir Technologies (US), Adobe (US), Atlassian (Australia), UiPath (US), Uniphore (US), Automation Anywhere (US), SS&C Blue Prism (US), Pegasystems (US), Appian (US), Celonis (Germany), Workato (US), Laiye (China), LangChain (US), CrewAI (US), LlamaIndex (US), Relevance AI (Australia), Ema (US), Kore.ai (US), Airia (US), Writer (US), Glean (US), Aisera (US), Sierra (US), Decagon (US), Cognition AI (US), Harvey (US), Hippocratic AI (US), Gradial (US), Arize AI (US), Galileo (US), Langfuse (Germany), Noma Security (Israel), Aembit (US), Accenture (Ireland), Deloitte (UK), Capgemini (France), TCS (India), and Cognizant (US) are some of the key players in the agentic AI market.

The study includes an in-depth competitive analysis of these key players in the agentic AI market, with their company profiles, recent developments, and key market strategies.

Research Coverage

This research report categorizes the agentic AI market by offering (software and services), system architecture (single-agent systems, multi-agent systems), application (customer service & support, sales & revenue operations, marketing & customer engagement, finance & accounting, human resources & workforce management, IT operations & software engineering, data, analytics & business intelligence, cybersecurity & risk operations, legal, compliance & governance, operations & supply chain, workplace productivity & collaboration, other applications), end user (individual users, enterprises {BFSI, retail & consumer goods, government & public sector, defense & national security, healthcare, pharmaceuticals, & life sciences, manufacturing & industrial, telecommunications, energy & utilities, IT & ITeS, professional services, other enterprises}), and region (North America, Europe, Asia Pacific, Middle East & Africa, and Latin America). The report covers detailed information on major factors, such as drivers, restraints, challenges, and opportunities, influencing the growth of the agentic AI market. A detailed analysis of key industry players provides insights into their business overview, solutions, and services; key strategies; contracts, partnerships, and agreements; product & service launches; mergers and acquisitions; and recent developments in the agentic AI market. This report also covers a competitive analysis of upcoming startups in the agentic AI market ecosystem.

Reasons to Buy This Report

The report provides market leaders and new entrants with the closest available revenue estimates for the overall agentic AI market and its subsegments. It helps stakeholders understand the competitive landscape and gain insights to better position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.

The report provides insights into the following pointers:

• Analysis of key drivers (Growing enterprise focus on measurable productivity and cost outcomes; Enterprise shift from assistive copilots to autonomous workflow execution; Embedding AI agents into core business platforms, reducing adoption friction; Advances in reasoning, tool use, memory, and orchestration expanding viable use cases), restraints (Uncertain ROI where agent operating costs exceed workflow value; Reliability gaps limiting deployment in high-risk and mission-critical processes), opportunities (Industry-specific agents built around regulated and high-value workflows; Agent orchestration, interoperability, and marketplace ecosystems; Governance, security, observability, and identity layers for enterprise-scale deployment), and challenges (Securing agents with access to enterprise systems, data, and transaction rights; Defining accountability and human oversight for autonomous decisions and actions)
• Product Development/Innovation: Detailed insights into upcoming technologies, research & development activities, and product & service launches in the agentic AI market
• Market Development: Comprehensive information about lucrative markets - analysis of the agentic AI market across varied regions
• Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the agentic AI market
• Competitive Assessment: In-depth assessment of market shares, growth strategies and product portfolios of AWS (US), Microsoft (US), Google (US), Salesforce (US), ServiceNow (US), Anthropic (US), OpenAI (US), Aisera (US), Kore.ai (US), and Cognition AI (US), among others, in the agentic AI market

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 STUDY OBJECTIVES
• 1.2 MARKET DEFINITION
  • 1.2.1 INCLUSIONS AND EXCLUSIONS
• 1.3 MARKET SCOPE
  • 1.3.1 YEARS CONSIDERED FOR THE STUDY
• 1.4 CURRENCY CONSIDERED
• 1.5 STAKEHOLDERS
• 1.6 SUMMARY OF CHANGES

2 EXECUTIVE SUMMARY

• 2.1 MARKET HIGHLIGHTS AND KEY INSIGHTS
• 2.2 KEY MARKET PARTICIPANTS: MAPPING OF STRATEGIC DEVELOPMENTS
• 2.3 DISRUPTIVE TRENDS IN AGENTIC AI MARKET
• 2.4 HIGH GROWTH SEGMENTS
• 2.5 REGIONAL SNAPSHOT: MARKET SIZE, GROWTH RATE, AND FORECAST

3 PREMIUM INSIGHTS

• 3.1 ATTRACTIVE OPPORTUNITIES IN AGENTIC AI MARKET
• 3.2 AGENTIC AI MARKET, BY REGION
• 3.3 AGENTIC AI MARKET: TOP THREE APPLICATIONS
• 3.4 NORTH AMERICA: AGENTIC AI MARKET, BY SOFTWARE AND SERVICE
• 3.5 AGENTIC AI MARKET, BY REGION

4 MARKET OVERVIEW

• 4.1 INTRODUCTION
• 4.2 MARKET DYNAMICS
  • 4.2.1 DRIVERS
    • 4.2.1.1 Growing enterprise focus on measurable productivity and cost outcomes
    • 4.2.1.2 Enterprise shift from assistive copilots to autonomous workflow execution
    • 4.2.1.3 Embedding AI agents into core business platforms, reducing adoption friction
    • 4.2.1.4 Advances in reasoning, tool use, memory, and orchestration expanding viable use cases
  • 4.2.2 RESTRAINTS
    • 4.2.2.1 Uncertain ROI where agent operating costs exceed workflow value
    • 4.2.2.2 Reliability gaps limiting deployment in high-risk and mission-critical processes
  • 4.2.3 OPPORTUNITIES
    • 4.2.3.1 Industry-specific agents built around regulated and high-value workflows
    • 4.2.3.2 Agent orchestration, interoperability, and marketplace ecosystems
    • 4.2.3.3 Governance, security, observability, and identity layers for enterprise-scale deployment
  • 4.2.4 CHALLENGES
    • 4.2.4.1 Securing agents with access to enterprise systems, data, and transaction rights
    • 4.2.4.2 Defining accountability and human oversight for autonomous decisions and actions
• 4.3 UNMET NEEDS AND WHITE SPACES
  • 4.3.1 UNMET NEEDS IN AGENTIC AI MARKET
  • 4.3.2 WHITE SPACE OPPORTUNITIES
• 4.4 INTERCONNECTED MARKETS AND CROSS-SECTOR OPPORTUNITIES
  • 4.4.1 INTERCONNECTED MARKETS
  • 4.4.2 CROSS-SECTOR OPPORTUNITIES
• 4.5 STRATEGIC MOVES BY TIER-1/2/3 PLAYERS

5 INDUSTRY TRENDS

• 5.1 EVOLUTION OF AGENTIC AI
• 5.2 PORTER'S FIVE FORCES ANALYSIS
  • 5.2.1 THREAT OF NEW ENTRANTS
  • 5.2.2 THREAT OF SUBSTITUTES
  • 5.2.3 BARGAINING POWER OF SUPPLIERS
  • 5.2.4 BARGAINING POWER OF BUYERS
  • 5.2.5 INTENSITY OF COMPETITIVE RIVALRY
• 5.3 MACROECONOMIC OUTLOOK
  • 5.3.1 INTRODUCTION
  • 5.3.2 GDP TRENDS AND FORECAST
  • 5.3.3 TRENDS IN THE GLOBAL BIG DATA INDUSTRY
  • 5.3.4 TRENDS IN GLOBAL ARTIFICIAL INTELLIGENCE INDUSTRY
• 5.4 SUPPLY CHAIN ANALYSIS
• 5.5 ECOSYSTEM ANALYSIS
  • 5.5.1 ENTERPRISE AGENT PLATFORM VENDORS
  • 5.5.2 AGENT DEVELOPMENT & ORCHESTRATION VENDORS
  • 5.5.3 AGENTIC AUTOMATION & WORKFLOW VENDORS
  • 5.5.4 PREBUILT FUNCTIONAL & INDUSTRY AGENT APPLICATION VENDORS
  • 5.5.5 AGENT GOVERNANCE & SECURITY VENDORS
  • 5.5.6 AGENTIC AI SERVICE PROVIDERS
• 5.6 PRICING ANALYSIS
  • 5.6.1 AVERAGE SELLING PRICE OF OFFERINGS, BY KEY PLAYER
  • 5.6.2 INDICATIVE PRICING ANALYSIS, BY AGENTIC AI APPLICATION, 2026
• 5.7 KEY CONFERENCES AND EVENTS, 2026-2027
• 5.8 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
• 5.9 INVESTMENT AND FUNDING SCENARIO
• 5.10 CASE STUDY ANALYSIS
  • 5.10.1 COMMERZBANK AUTOMATES BANKING SERVICE WITH AVA AGENT
  • 5.10.2 SANOFI SCALED ENTERPRISE AGENTS THROUGH CONCIERGE
  • 5.10.3 EY REDUCED SERVICE-DESK WORKLOAD THROUGH AI AGENTS
  • 5.10.4 TETRA PAK MOVED CORE WORKFLOWS FROM DAYS TO HOURS WITH AGENTIC AUTOMATION
  • 5.10.5 SHARKNINJA DEPLOYED AGENTIC SHOPPING AND SUPPORT ACROSS GLOBAL MARKETS
  • 5.10.6 CRUSHBANK IMPROVED IT SERVICE RESOLUTION THROUGH AGENTIC ORCHESTRATION
  • 5.10.7 WHITEKLAY MODERNIZES ENTERPRISE ANALYTICS FOR A LEADING TELECOM OPERATOR WITH VDA
• 5.11 IMPACT OF 2025-2026 US TARIFFS - AGENTIC AI MARKET
  • 5.11.1 INTRODUCTION
    • 5.11.1.1 Tariff/Trade Policy Updates
  • 5.11.2 KEY TARIFF RATES
  • 5.11.3 PRICE IMPACT ANALYSIS
    • 5.11.3.1 Strategic shifts and emerging trends
  • 5.11.4 IMPACT ON COUNTRY/REGION
    • 5.11.4.1 US
    • 5.11.4.2 China
    • 5.11.4.3 Europe
    • 5.11.4.4 Asia Pacific (excluding China)
  • 5.11.5 IMPACT ON END-USE INDUSTRIES

6 TECHNOLOGICAL ADVANCEMENTS, PATENTS, INNOVATIONS, AND FUTURE APPLICATIONS

• 6.1 KEY EMERGING TECHNOLOGIES
  • 6.1.1 LARGE LANGUAGE MODELS
  • 6.1.2 RETRIEVAL-AUGMENTED GENERATION (RAG)
  • 6.1.3 AGENT ORCHESTRATION FRAMEWORKS
  • 6.1.4 REASONING & PLANNING MODELS
  • 6.1.5 MODEL CONTEXT PROTOCOL (MCP)
• 6.2 COMPLEMENTARY TECHNOLOGIES
  • 6.2.1 CLOUD COMPUTING
  • 6.2.2 AI GOVERNANCE & GUARDRAILS
  • 6.2.3 MLOPS, LLMOPS & AGENTOPS
  • 6.2.4 PROCESS MINING & WORKFLOW AUTOMATION
  • 6.2.5 IDENTITY & ACCESS MANAGEMENT
• 6.3 ADJACENT TECHNOLOGIES
  • 6.3.1 GENERATIVE AI
  • 6.3.2 CONVERSATIONAL AI
  • 6.3.3 ROBOTIC PROCESS AUTOMATION
  • 6.3.4 DECISION INTELLIGENCE
  • 6.3.5 INTELLIGENT PROCESS AUTOMATION
• 6.4 TECHNOLOGY ROADMAP
• 6.5 PATENT ANALYSIS
  • 6.5.1 METHODOLOGY
  • 6.5.2 PATENTS FILED, BY DOCUMENT TYPE, 2016-2026
  • 6.5.3 INNOVATION AND PATENT APPLICATIONS
• 6.6 FUTURE APPLICATIONS
  • 6.6.1 AUTONOMOUS ENTERPRISE OPERATIONS
  • 6.6.2 AGENTIC CUSTOMER SERVICE & COMMERCE
  • 6.6.3 AGENTIC RISK, COMPLIANCE & SECURITY OPERATIONS
  • 6.6.4 AUTONOMOUS RESEARCH, ANALYSIS & KNOWLEDGE WORK
  • 6.6.5 MULTI-AGENT DECISION & WORKFLOW ORCHESTRATION

7 REGULATORY LANDSCAPE

• 7.1 REGIONAL REGULATIONS AND COMPLIANCE
  • 7.1.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • 7.1.2 KEY REGULATIONS
    • 7.1.2.1 North America
      • 7.1.2.1.1 Executive Order 14179: Removing Barriers to American Leadership in Artificial Intelligence (US)
      • 7.1.2.1.2 Personal Information Protection and Electronic Documents Act (Canada)
    • 7.1.2.2 Europe
      • 7.1.2.2.1 AI Regulation: A Pro-Innovation Approach (UK)
      • 7.1.2.2.2 European Union Artificial Intelligence Act (Germany)
      • 7.1.2.2.3 European Union Artificial Intelligence Act (France)
      • 7.1.2.2.4 European Union Artificial Intelligence Act (Spain)
      • 7.1.2.2.5 Law No. 132 of 2025 - Provisions and Delegations to the Government Concerning Artificial Intelligence (Italy)
    • 7.1.2.3 Asia Pacific
      • 7.1.2.3.1 AI Guidelines for Business, Version 1.2 (Japan)
      • 7.1.2.3.2 AI Basic Act and Enforcement Decree (South Korea)
      • 7.1.2.3.3 Digital Personal Data Protection Act, 2023 and Digital Personal Data Protection Rules, 2025 (India)
      • 7.1.2.3.4 Interim Measures for the Management of Generative Artificial Intelligence Services (China)
      • 7.1.2.3.5 Model AI Governance Framework for Agentic AI (Singapore)
    • 7.1.2.4 Middle East & Africa
      • 7.1.2.4.1 UAE Charter for the Development and Use of Artificial Intelligence (UAE)
      • 7.1.2.4.2 AI Ethics Principles (Saudi Arabia)
      • 7.1.2.4.3 Continental Artificial Intelligence Strategy (African Union)
    • 7.1.2.5 Latin America
      • 7.1.2.5.1 General Data Protection Law (Brazil)
      • 7.1.2.5.2 Federal Law on Protection of Personal Data Held by Private Parties (Mexico)
      • 7.1.2.5.3 Digital Agenda for Latin America and the Caribbean, eLAC2026 (Latin America)
  • 7.1.3 INDUSTRY STANDARDS

8 CUSTOMER LANDSCAPE & BUYER BEHAVIOR

• 8.1 DECISION-MAKING PROCESS
• 8.2 BUYER STAKEHOLDERS AND BUYING EVALUATION CRITERIA
  • 8.2.1 BUYING CRITERIA
• 8.3 ADOPTION BARRIERS & INTERNAL CHALLENGES
• 8.4 UNMET NEEDS FROM VARIOUS INDUSTRY VERTICALS

9 AGENTIC AI MARKET, BY OFFERING

• 9.1 INTRODUCTION
  • 9.1.1 DRIVERS: AGENTIC AI MARKET, BY OFFERING
• 9.2 SOFTWARE
  • 9.2.1 AGENT DEVELOPMENT PLATFORMS
    • 9.2.1.1 Agent development platforms are expanding agent creation beyond specialist AI engineering teams
  • 9.2.2 AGENT ORCHESTRATION & RUNTIME PLATFORMS
    • 9.2.2.1 Orchestration and runtime platforms are becoming essential as agents move into long-running and multi-agent workflows
  • 9.2.3 AGENT MEMORY & CONTEXT MANAGEMENT PLATFORMS
    • 9.2.3.1 Memory and context management are turning stateless agents into persistent enterprise workers
  • 9.2.4 AGENT CONNECTIVITY & TOOL INTEGRATION PLATFORMS
    • 9.2.4.1 Connectivity platforms give agents the enterprise reach required to convert reasoning into action
  • 9.2.5 AGENT GOVERNANCE, SECURITY, AND OBSERVABILITY PLATFORMS
    • 9.2.5.1 Governance, security, and observability are becoming mandatory as agents receive authority to act
  • 9.2.6 AGENTIC PROCESS AUTOMATION PLATFORMS
    • 9.2.6.1 Agentic process automation is extending automation into variable, judgment-heavy business processes
  • 9.2.7 INTEGRATED ENTERPRISE AGENT PLATFORMS
    • 9.2.7.1 Integrated enterprise agent platforms gaining traction by consolidating multiple agent capabilities in one environment
  • 9.2.8 PREBUILT AGENTIC AI APPLICATIONS
    • 9.2.8.1 Prebuilt agentic AI applications are shortening time-to-value by packaging agents around specific jobs and workflows
  • 9.2.9 OTHER AGENTIC AI SOFTWARE
• 9.3 SERVICES
  • 9.3.1 STRATEGY & ADVISORY SERVICES
    • 9.3.1.1 Strategy and advisory services help enterprises determine where autonomy creates value without creating unmanaged risk
  • 9.3.2 AGENT DESIGN & DEVELOPMENT SERVICES
    • 9.3.2.1 Design and development services translate business requirements into production-ready agent behavior
  • 9.3.3 INTEGRATION & DEPLOYMENT SERVICES
    • 9.3.3.1 Integration & deployment services remain crucial to ensure agents operate seamlessly across fragmented enterprise environments
  • 9.3.4 AGENT TESTING, EVALUATION, AND ASSURANCE SERVICES
    • 9.3.4.1 Testing and assurance are becoming distinct disciplines because agent quality must be measured through actions, not only responses
  • 9.3.5 MANAGED AGENTIC AI SERVICES
    • 9.3.5.1 Managed agentic AI services are emerging as enterprises seek continuous operational support for growing agent estates

10 AGENTIC AI MARKET, BY SYSTEM ARCHITECTURE

• 10.1 INTRODUCTION
  • 10.1.1 DRIVERS: AGENTIC AI MARKET, BY SYSTEM ARCHITECTURE
• 10.2 SINGLE-AGENT SYSTEMS
  • 10.2.1 SINGLE-AGENT SYSTEMS REMAIN DOMINANT ARCHITECTURE AS THEY COMBINE BROAD CAPABILITY WITH LOWER OPERATIONAL COMPLEXITY
• 10.3 MULTI-AGENT SYSTEMS
  • 10.3.1 MULTI-AGENT SYSTEMS ARE GAINING ADOPTION AS ENTERPRISES DECOMPOSE COMPLEX WORKFLOWS INTO SPECIALIZED AGENT ROLES

11 AGENTIC AI MARKET, BY APPLICATION

• 11.1 INTRODUCTION
  • 11.1.1 DRIVERS: AGENTIC AI MARKET, BY APPLICATION
• 11.2 CUSTOMER SERVICE & SUPPORT
  • 11.2.1 CUSTOMER SERVICE & SUPPORT AGENTS ARE NOW RESOLVING COMPLETE SERVICE JOURNEYS RATHER THAN BASIC QUESTIONS
• 11.3 SALES & REVENUE OPERATIONS
  • 11.3.1 SALES AND REVENUE AGENTS ARE MOVING FROM RESEARCH AND DRAFTING INTO ACTIVE PIPELINE EXECUTION
• 11.4 MARKETING & CUSTOMER ENGAGEMENT
  • 11.4.1 MARKETING AGENTS ARE INCREASINGLY COORDINATING CAMPAIGNS, CONTENT, AND PERFORMANCE OPTIMIZATION ACROSS CHANNELS
• 11.5 FINANCE & ACCOUNTING
  • 11.5.1 FINANCE AND ACCOUNTING AGENTS ARE GAINING RELEVANCE TO SHORTEN EXCEPTION-HEAVY AND DOCUMENT-INTENSIVE WORKFLOWS
• 11.6 WORKPLACE PRODUCTIVITY & COLLABORATION
  • 11.6.1 EVOLVING FROM PERSONAL ASSISTANTS INTO COORDINATORS OF MEETINGS, DOCUMENTS, TASKS, AND EMPLOYEE WORKFLOWS
• 11.7 IT OPERATIONS & SOFTWARE ENGINEERING
  • 11.7.1 AGENTIC AI DEMAND ACROSS ITOPS & SOFTWARE ENGINEERING BUOYED BY INSTRUMENTED AND EXECUTABLE DIGITAL TOOLS
• 11.8 DATA, ANALYTICS, AND BUSINESS INTELLIGENCE
  • 11.8.1 SHIFTING BUSINESS INTELLIGENCE FROM PASSIVE DASHBOARDS TOWARD CONTINUOUS QUESTION-TO-ACTION WORKFLOWS
• 11.9 CYBERSECURITY & RISK OPERATIONS
  • 11.9.1 AGENTIC AI GAINING RAPID TRACTION IN CYBERSECURITY TO HANDLE CONTINUOUS ANALYSIS AND PROVIDE RAPID ACTION
• 11.10 HUMAN RESOURCES & WORKFORCE MANAGEMENT
  • 11.10.1 AUTOMATING EMPLOYEE-SERVICE AND ADMINISTRATIVE WORKFLOWS WHILE PRESERVING HUMAN CONTROL OVER SENSITIVE DECISIONS
• 11.11 LEGAL, COMPLIANCE, AND GOVERNANCE
  • 11.11.1 EXPANDING FROM DOCUMENT ASSISTANCE INTO EVIDENCE GATHERING, MONITORING, AND CONTROLLED WORKFLOW EXECUTION
• 11.12 OPERATIONS & SUPPLY CHAIN
  • 11.12.1 OPERATIONS AND SUPPLY-CHAIN AGENTS ARE COORDINATING DECISIONS ACROSS PROCUREMENT, INVENTORY, AND LOGISTICS
• 11.13 OTHER APPLICATIONS

12 AGENTIC AI MARKET, BY END USER

• 12.1 INTRODUCTION
  • 12.1.1 DRIVERS: AGENTIC AI MARKET, BY END USER
• 12.2 INDIVIDUAL USERS
  • 12.2.1 INDIVIDUAL USERS REPRESENT SMALLER REVENUE POOL BUT IMPORTANT PROVING GROUND FOR PERSISTENT PERSONAL AGENTS
• 12.3 ENTERPRISES
  • 12.3.1 IT & ITES
    • 12.3.1.1 IT & ITeS leads enterprise adoption because software and service-delivery environments already expose the tools agents need to act
    • 12.3.1.2 Software Development & Testing
    • 12.3.1.3 IT Service Management & Technical Support
    • 12.3.1.4 Cloud Infrastructure & Application Operations
    • 12.3.1.5 Cybersecurity Operations
    • 12.3.1.6 Business Process Service Delivery
    • 12.3.1.7 Other IT & ITeS Use Cases
  • 12.3.2 BFSI
    • 12.3.2.1 BFSI is scaling agentic AI through tightly governed workflows in fraud, servicing, lending, investment operations, and compliance
    • 12.3.2.2 Fraud, Risk, and Regulatory Compliance
    • 12.3.2.3 Lending, Credit Assessment, and Underwriting
    • 12.3.2.4 Wealth, Trading, and Investment Operations
    • 12.3.2.5 Insurance Claims & Policy Operations
    • 12.3.2.6 Other BFSI Use Cases
  • 12.3.3 RETAIL & CONSUMER GOODS
    • 12.3.3.1 Agentic AI adoption is centered on high-volume customer interactions, inventory, and supply-chain coordination
    • 12.3.3.2 Customer Service & Shopping Assistance
    • 12.3.3.3 Inventory, Demand, and Replenishment Management
    • 12.3.3.4 Personalized Merchandising & Customer Engagement
    • 12.3.3.5 Procurement & Supply Chain Coordination
    • 12.3.3.6 Pricing, Promotion, and Revenue Optimization
    • 12.3.3.7 Other Retail & Consumer Goods Use Cases
  • 12.3.4 PROFESSIONAL SERVICES
    • 12.3.4.1 Professional services to remain a lucrative vertical as agents can compress document production, review, and client-delivery cycles
    • 12.3.4.2 Research & Knowledge Management
    • 12.3.4.3 Document, Proposal, and Report Development
    • 12.3.4.4 Client Service & Engagement Delivery
    • 12.3.4.5 Risk, Compliance, and Quality Review
    • 12.3.4.6 Project & Resource Management
    • 12.3.4.7 Other Professional Services Use Cases
  • 12.3.5 HEALTHCARE, PHARMACEUTICALS, AND LIFE SCIENCES
    • 12.3.5.1 Sector expands agentic AI through administrative automation and tightly supervised clinical support
    • 12.3.5.2 Patient Engagement & Care Navigation
    • 12.3.5.3 Healthcare Administrative & Revenue Cycle Operations
    • 12.3.5.4 Clinical Documentation & Decision Support
    • 12.3.5.5 Drug Discovery & Clinical Research
    • 12.3.5.6 Pharmacovigilance & Regulatory Operations
    • 12.3.5.7 Other Healthcare, Pharmaceuticals, and Life Sciences Use Cases
  • 12.3.6 MANUFACTURING & INDUSTRIAL
    • 12.3.6.1 Agentic AI in manufacturing & industrial sector is helping coordinate planning, supply chains, engineering, and asset-intensive operations
    • 12.3.6.2 Production Planning & Operations Management
    • 12.3.6.3 Supply Chain & Procurement Operations
    • 12.3.6.4 Predictive Maintenance & Asset Management
    • 12.3.6.5 Quality Management & Root-cause Investigation
    • 12.3.6.6 Engineering & Product Development
    • 12.3.6.7 Other Manufacturing & Industrial Use Cases
  • 12.3.7 TELECOMMUNICATIONS
    • 12.3.7.1 Telecom industry is adopting agentic AI across network operations, service assurance, subscriber support, and revenue protection
    • 12.3.7.2 Customer Service & Subscriber Management
    • 12.3.7.3 Network Operations & Fault Resolution
    • 12.3.7.4 Service Assurance & Field Operations
    • 12.3.7.5 Sales, Marketing, and Offer Personalization
    • 12.3.7.6 Revenue Assurance & Fraud Management
    • 12.3.7.7 Other Telecommunications Use Cases
  • 12.3.8 GOVERNMENT & PUBLIC SECTOR
    • 12.3.8.1 Government adoption is concentrated in citizen services, administrative workflows, and controlled regulatory processes
    • 12.3.8.2 Citizen Services & Case Management
    • 12.3.8.3 Public Administration & Workflow Automation
    • 12.3.8.4 Revenue, Tax, and Benefits Administration
    • 12.3.8.5 Regulatory Monitoring & Compliance
    • 12.3.8.6 Public Infrastructure & Service Operations
    • 12.3.8.7 Other Government & Public Sector Use Cases
  • 12.3.9 ENERGY & UTILITIES
    • 12.3.9.1 Energy & utilities is using agentic AI to coordinate assets, grids, field operations, and regulated customer processes
    • 12.3.9.2 Asset Maintenance & Field Operations
    • 12.3.9.3 Grid Operations & Outage Management
    • 12.3.9.4 Customer Service & Billing Operations
    • 12.3.9.5 Energy Trading, Forecasting, and Portfolio Optimization
    • 12.3.9.6 Regulatory, Safety, and Compliance Operations
    • 12.3.9.7 Other Energy & Utilities Use Cases
  • 12.3.10 DEFENSE & NATIONAL SECURITY
    • 12.3.10.1 Defense & national security adoption is concentrated in intelligence, cyber defense, mission support, and surveillance
    • 12.3.10.2 Intelligence Collection & Analysis
    • 12.3.10.3 Mission Planning & Decision Support
    • 12.3.10.4 Cyber Defense & Threat Response
    • 12.3.10.5 Surveillance & Situational Awareness
    • 12.3.10.6 Logistics, Maintenance, and Readiness
    • 12.3.10.7 Other Defense & National Security Use Cases
  • 12.3.11 OTHER ENTERPRISES

13 AGENTIC AI MARKET, BY REGION

• 13.1 INTRODUCTION
• 13.2 NORTH AMERICA
  • 13.2.1 NORTH AMERICA: AGENTIC AI MARKET DRIVERS
  • 13.2.2 US
    • 13.2.2.1 US market driven by rapid agentic AI adoption across IT, financial services, and enterprise workflows
  • 13.2.3 CANADA
    • 13.2.3.1 Canada's agentic AI opportunity is concentrated in financial services, technology, and knowledge-intensive industries
• 13.3 EUROPE
  • 13.3.1 EUROPE: AGENTIC AI MARKET DRIVERS
  • 13.3.2 UK
    • 13.3.2.1 UK market shaped by financial services, professional services, and enterprise knowledge workflows
  • 13.3.3 GERMANY
    • 13.3.3.1 Germany's agentic AI market is closely tied to manufacturing, engineering, enterprise software, and industrial operations
  • 13.3.4 FRANCE
    • 13.3.4.1 France is developing a broad agentic AI market across finance, public services, telecom, industry, and large enterprises
  • 13.3.5 ITALY
    • 13.3.5.1 Italy's agentic AI opportunity is expanding across manufacturing, services, retail, telecom, and midmarket enterprises
  • 13.3.6 REST OF EUROPE
• 13.4 ASIA PACIFIC
  • 13.4.1 ASIA PACIFIC: AGENTIC AI MARKET DRIVERS
  • 13.4.2 CHINA
    • 13.4.2.1 China's agentic AI market is being shaped by domestic platforms, manufacturing, digital commerce, and enterprise automation
  • 13.4.3 JAPAN
    • 13.4.3.1 Japan's agentic AI adoption is centered on enterprise productivity, manufacturing, service operations, and workforce augmentation
  • 13.4.4 INDIA
    • 13.4.4.1 India's market is being propelled by IT services, business-process delivery, and enterprise transformation
  • 13.4.5 SOUTH KOREA
    • 13.4.5.1 South Korea's agentic AI market is benefiting from strengths in electronics, telecom, digital platforms, and advanced manufacturing
  • 13.4.6 REST OF ASIA PACIFIC
• 13.5 MIDDLE EAST & AFRICA
  • 13.5.1 MIDDLE EAST & AFRICA: AGENTIC AI MARKET DRIVERS
  • 13.5.2 SAUDI ARABIA
    • 13.5.2.1 Saudi Arabia's market is being driven by government modernization, energy, large enterprises, and national AI investment
  • 13.5.3 UAE
    • 13.5.3.1 The UAE is emerging as a regional hub for government, financial-services, and enterprise agent deployment
  • 13.5.4 SOUTH AFRICA
    • 13.5.4.1 South Africa's market is concentrated in banking, telecom, professional services, retail, and digitally mature enterprises
  • 13.5.5 REST OF MIDDLE EAST & AFRICA
• 13.6 LATIN AMERICA
  • 13.6.1 LATIN AMERICA: AGENTIC AI MARKET DRIVERS
  • 13.6.2 BRAZIL
    • 13.6.2.1 Brazil's agentic AI market is anchored by banking, retail, telecom, digital commerce, and large enterprises
  • 13.6.3 MEXICO
    • 13.6.3.1 Mexico's agentic AI opportunity is being shaped by manufacturing, financial services, retail, telecom, and cross-border operations
  • 13.6.4 REST OF LATIN AMERICA

14 COMPETITIVE LANDSCAPE

• 14.1 OVERVIEW
• 14.2 KEY PLAYER STRATEGIES, 2025-2026
• 14.3 REVENUE ANALYSIS, 2023-2025
• 14.4 MARKET SHARE ANALYSIS, 2025
  • 14.4.1 MARKET RANKING ANALYSIS, 2025
• 14.5 PRODUCT COMPARATIVE ANALYSIS
  • 14.5.1 PRODUCT COMPARATIVE ANALYSIS OF ENTERPRISE AGENT PLATFORMS
    • 14.5.1.1 Copilot Studio (Microsoft)
    • 14.5.1.2 Agentforce 360 Platform (Salesforce)
    • 14.5.1.3 AI Agent Studio (ServiceNow)
    • 14.5.1.4 AI Agent Studio (Oracle)
• 14.6 COMPANY EVALUATION MATRIX: ENTERPRISE AGENT PLATFORM VENDORS
  • 14.6.1 STARS
  • 14.6.2 EMERGING LEADERS
  • 14.6.3 PERVASIVE PLAYERS
  • 14.6.4 PARTICIPANTS
  • 14.6.5 COMPANY FOOTPRINT: ENTERPRISE AGENT PLATFORM VENDORS, 2025
    • 14.6.5.1 Company Footprint (Enterprise Agent Platform Vendors)
    • 14.6.5.2 Regional Footprint (Enterprise Agent Platform Vendors)
    • 14.6.5.3 Offering Footprint (Enterprise Agent Platform Vendors)
    • 14.6.5.4 Application Footprint (Enterprise Agent Platform Vendors)
    • 14.6.5.5 End User Footprint (Enterprise Agent Platform Vendors)
• 14.7 COMPANY EVALUATION MATRIX: AGENT DEVELOPMENT & ORCHESTRATION VENDORS
  • 14.7.1 STARS
  • 14.7.2 EMERGING LEADERS
  • 14.7.3 PERVASIVE PLAYERS
  • 14.7.4 PARTICIPANTS
  • 14.7.5 COMPANY FOOTPRINT: AGENT DEVELOPMENT & ORCHESTRATION VENDORS, 2025
    • 14.7.5.1 Company Footprint (Agent Development & Orchestration Vendors)
    • 14.7.5.2 Regional Footprint (Agent Development & Orchestration Vendors)
    • 14.7.5.3 Offering Footprint (Agent Development & Orchestration Vendors)
    • 14.7.5.4 Application Footprint (Agent Development & Orchestration Vendors)
    • 14.7.5.5 End User Footprint (Agent Development & Orchestration Vendors)
• 14.8 COMPANY EVALUATION MATRIX: AGENTIC AUTOMATION & WORKFLOW VENDORS
  • 14.8.1 STARS
  • 14.8.2 EMERGING LEADERS
  • 14.8.3 PERVASIVE PLAYERS
  • 14.8.4 PARTICIPANTS
  • 14.8.5 COMPANY FOOTPRINT: AGENTIC AUTOMATION & WORKFLOW VENDORS, 2025
    • 14.8.5.1 Company Footprint (Agentic Automation & Workflow Vendors)
    • 14.8.5.2 Regional Footprint (Agentic Automation & Workflow Vendors)
    • 14.8.5.3 Offering Footprint (Agentic Automation & Workflow Vendors)
    • 14.8.5.4 Application Footprint (Agentic Automation & Workflow Vendors)
    • 14.8.5.5 End User Footprint (Agentic Automation & Workflow Vendors)
• 14.9 COMPANY EVALUATION MATRIX: PREBUILT AGENT APPLICATION VENDORS
  • 14.9.1 STARS
  • 14.9.2 EMERGING LEADERS
  • 14.9.3 PERVASIVE PLAYERS
  • 14.9.4 PARTICIPANTS
  • 14.9.5 COMPANY FOOTPRINT: PREBUILT AGENT APPLICATION VENDORS, 2025
    • 14.9.5.1 Company Footprint (Prebuilt Agent Application Vendors)
    • 14.9.5.2 Regional Footprint (Prebuilt Agent Application Vendors)
    • 14.9.5.3 Offering Footprint (Prebuilt Agent Application Vendors)
    • 14.9.5.4 Application Footprint (Prebuilt Agent Application Vendors)
    • 14.9.5.5 End User Footprint (Prebuilt Agent Application Vendors)
• 14.10 COMPANY EVALUATION MATRIX: AGENT GOVERNANCE & SECURITY VENDORS
  • 14.10.1 STARS
  • 14.10.2 EMERGING LEADERS
  • 14.10.3 PERVASIVE PLAYERS
  • 14.10.4 PARTICIPANTS
  • 14.10.5 COMPANY FOOTPRINT: AGENT GOVERNANCE & SECURITY VENDORS, 2025
    • 14.10.5.1 Company Footprint (Agent Governance & Security Vendors)
    • 14.10.5.2 Regional Footprint (Agent Governance & Security Vendors)
    • 14.10.5.3 Offering Footprint (Agent Governance & Security Vendors)
    • 14.10.5.4 Application Footprint (Agent Governance & Security Vendors)
    • 14.10.5.5 End User Footprint (Agent Governance & Security Vendors)
• 14.11 COMPANY EVALUATION MATRIX: AGENTIC AI SERVICE PROVIDERS
  • 14.11.1 STARS
  • 14.11.2 EMERGING LEADERS
  • 14.11.3 PERVASIVE PLAYERS
  • 14.11.4 PARTICIPANTS
  • 14.11.5 COMPANY FOOTPRINT: AGENTIC AI SERVICE PROVIDERS, 2025
    • 14.11.5.1 Company Footprint (Agentic AI Service Providers)
    • 14.11.5.2 Regional Footprint (Agentic AI Service Providers)
    • 14.11.5.3 Offering Footprint (Agentic AI Service Providers)
    • 14.11.5.4 Application Footprint (Agentic AI Service Providers)
    • 14.11.5.5 End User Footprint (Agentic AI Service Providers)
• 14.12 COMPANY VALUATION AND FINANCIAL METRICS
• 14.13 COMPETITIVE SCENARIO
  • 14.13.1 PRODUCT LAUNCHES AND ENHANCEMENTS
  • 14.13.2 DEALS

15 COMPANY PROFILES

• 15.1 INTRODUCTION
• 15.2 ENTERPRISE AGENT PLATFORM VENDORS
  • 15.2.1 MICROSOFT
    • 15.2.1.1 Business overview
    • 15.2.1.2 Products/Solutions/Services offered
    • 15.2.1.3 Recent developments
      • 15.2.1.3.1 Product launches & enhancements
      • 15.2.1.3.2 Deals
    • 15.2.1.4 MnM view
      • 15.2.1.4.1 Key strengths
      • 15.2.1.4.2 Strategic choices
      • 15.2.1.4.3 Weaknesses and competitive threats
  • 15.2.2 AWS
    • 15.2.2.1 Business overview
    • 15.2.2.2 Products/Solutions/Services offered
    • 15.2.2.3 Recent developments
      • 15.2.2.3.1 Product launches & enhancements
      • 15.2.2.3.2 Deals
    • 15.2.2.4 MnM view
      • 15.2.2.4.1 Key strengths
      • 15.2.2.4.2 Strategic choices
      • 15.2.2.4.3 Weaknesses and competitive threats
  • 15.2.3 GOOGLE
    • 15.2.3.1 Business overview
    • 15.2.3.2 Products/Solutions/Services offered
    • 15.2.3.3 Recent developments
      • 15.2.3.3.1 Product launches & enhancements
      • 15.2.3.3.2 Deals
    • 15.2.3.4 MnM view
      • 15.2.3.4.1 Key strengths
      • 15.2.3.4.2 Strategic choices
      • 15.2.3.4.3 Weaknesses and competitive threats
  • 15.2.4 SALESFORCE
    • 15.2.4.1 Business overview
    • 15.2.4.2 Products/Solutions/Services offered
    • 15.2.4.3 Recent developments
      • 15.2.4.3.1 Product launches & enhancements
      • 15.2.4.3.2 Deals
    • 15.2.4.4 MnM view
      • 15.2.4.4.1 Key strengths
      • 15.2.4.4.2 Strategic choices
      • 15.2.4.4.3 Weaknesses and competitive threats
  • 15.2.5 SERVICENOW
    • 15.2.5.1 Business overview
    • 15.2.5.2 Products/Solutions/Services offered
    • 15.2.5.3 Recent developments
      • 15.2.5.3.1 Product launches & enhancements
      • 15.2.5.3.2 Deals
    • 15.2.5.4 MnM view
      • 15.2.5.4.1 Key strengths
      • 15.2.5.4.2 Strategic choices
      • 15.2.5.4.3 Weaknesses and competitive threats
  • 15.2.6 IBM
    • 15.2.6.1 Business overview
    • 15.2.6.2 Products/Solutions/Services offered
    • 15.2.6.3 Recent developments
      • 15.2.6.3.1 Product launches & enhancements
      • 15.2.6.3.2 Deals
    • 15.2.6.4 MnM view
      • 15.2.6.4.1 Key strengths
      • 15.2.6.4.2 Strategic choices
      • 15.2.6.4.3 Weaknesses and competitive threats
  • 15.2.7 PALANTIR
    • 15.2.7.1 Business overview
    • 15.2.7.2 Products/Solutions/Services offered
    • 15.2.7.3 Recent developments
      • 15.2.7.3.1 Product launches & enhancements
      • 15.2.7.3.2 Deals
    • 15.2.7.4 MnM view
      • 15.2.7.4.1 Key strengths
      • 15.2.7.4.2 Strategic choices
      • 15.2.7.4.3 Weaknesses and competitive threats
  • 15.2.8 ADOBE
    • 15.2.8.1 Business overview
    • 15.2.8.2 Products/Solutions/Services offered
    • 15.2.8.3 Recent developments
      • 15.2.8.3.1 Product launches & enhancements
      • 15.2.8.3.2 Deals
    • 15.2.8.4 MnM view
      • 15.2.8.4.1 Key strengths
      • 15.2.8.4.2 Strategic choices
      • 15.2.8.4.3 Weaknesses and competitive threats
  • 15.2.9 ORACLE
    • 15.2.9.1 Business overview
    • 15.2.9.2 Products/Solutions/Services offered
    • 15.2.9.3 Recent developments
      • 15.2.9.3.1 Product launches & enhancements
      • 15.2.9.3.2 Deals
    • 15.2.9.4 MnM view
      • 15.2.9.4.1 Key strengths
      • 15.2.9.4.2 Strategic choices
      • 15.2.9.4.3 Weaknesses and competitive threats
  • 15.2.10 OPENAI
  • 15.2.11 ANTHROPIC
  • 15.2.12 SAP
  • 15.2.13 DATABRICKS
  • 15.2.14 SNOWFLAKE
  • 15.2.15 ATLASSIAN
  • 15.2.16 UNIPHORE
• 15.3 AGENT DEVELOPMENT & ORCHESTRATION VENDORS
  • 15.3.1 LANGCHAIN
  • 15.3.2 CREWAI
  • 15.3.3 LLAMAINDEX
  • 15.3.4 RELEVANCE AI
  • 15.3.5 EMA
  • 15.3.6 KORE.AI
  • 15.3.7 AIRIA
  • 15.3.8 WRITER
  • 15.3.9 GLEAN
  • 15.3.10 AISERA
• 15.4 AGENTIC AUTOMATION & WORKFLOW VENDORS
  • 15.4.1 SAVANT LABS
    • 15.4.1.1 Business overview
    • 15.4.1.2 Products/Solutions/Services offered
    • 15.4.1.3 Recent developments
      • 15.4.1.3.1 Product launches and enhancements
      • 15.4.1.3.2 Deals
    • 15.4.1.4 MnM view
      • 15.4.1.4.1 Key strengths
      • 15.4.1.4.2 Strategic choices
      • 15.4.1.4.3 Weaknesses and competitive threats
  • 15.4.2 UIPATH
  • 15.4.3 AUTOMATION ANYWHERE
  • 15.4.4 SS&C BLUE PRISM
  • 15.4.5 PEGASYSTEMS
  • 15.4.6 APPIAN
  • 15.4.7 CELONIS
  • 15.4.8 WORKATO
  • 15.4.9 LAIYE
• 15.5 PREBUILT FUNCTIONAL & INDUSTRY AGENT APPLICATION VENDORS
  • 15.5.1 WHITEKLAY
    • 15.5.1.1 Business overview
    • 15.5.1.2 Products/Solutions/Services offered
    • 15.5.1.3 Recent developments
      • 15.5.1.3.1 Product launches & enhancements
      • 15.5.1.3.2 Other developments
    • 15.5.1.4 MnM view
      • 15.5.1.4.1 Key strengths
      • 15.5.1.4.2 Strategic choices
      • 15.5.1.4.3 Competitive threats
  • 15.5.2 SIERRA
  • 15.5.3 DECAGON
  • 15.5.4 COGNITION AI
  • 15.5.5 HARVEY
  • 15.5.6 HIPPOCRATIC AI
  • 15.5.7 GRADIAL
• 15.6 AGENT GOVERNANCE, SECURITY & OBSERVABILITY VENDORS
  • 15.6.1 ARIZE AI
  • 15.6.2 GALILEO
  • 15.6.3 LANGFUSE
  • 15.6.4 NOMA SECURITY
  • 15.6.5 AEMBIT
• 15.7 AGENTIC AI SERVICES PROVIDERS
  • 15.7.1 ACCENTURE
    • 15.7.1.1 Business overview
    • 15.7.1.2 Products/Solutions/Services offered
    • 15.7.1.3 Recent developments
      • 15.7.1.3.1 Product launches & enhancements
      • 15.7.1.3.2 Deals
    • 15.7.1.4 MnM view
      • 15.7.1.4.1 Key strengths
      • 15.7.1.4.2 Strategic choices
      • 15.7.1.4.3 Weaknesses and competitive threats
  • 15.7.2 DELOITTE
  • 15.7.3 CAPGEMINI
  • 15.7.4 TATA CONSULTANCY SERVICES (TCS)
  • 15.7.5 COGNIZANT

16 RESEARCH METHODOLOGY

• 16.1 RESEARCH DATA
  • 16.1.1 SECONDARY DATA
  • 16.1.2 PRIMARY DATA
    • 16.1.2.1 Breakup of primary profiles
    • 16.1.2.2 Key industry insights
• 16.2 MARKET BREAKUP AND DATA TRIANGULATION
• 16.3 MARKET SIZE ESTIMATION
  • 16.3.1 TOP-DOWN APPROACH
  • 16.3.2 BOTTOM-UP APPROACH
• 16.4 MARKET FORECAST
• 16.5 RESEARCH ASSUMPTIONS
• 16.6 LIMITATIONS OF THE STUDY

17 ADJACENT AND RELATED MARKETS

• 17.1 INTRODUCTION
• 17.2 ARTIFICIAL INTELLIGENCE (AI) MARKET - GLOBAL FORECAST TO 2033
  • 17.2.1 MARKET DEFINITION
  • 17.2.2 MARKET OVERVIEW
    • 17.2.2.1 Artificial Intelligence Market, By Offering
    • 17.2.2.2 Artificial Intelligence Market, By Technology
• 17.3 AI AGENTS MARKET - GLOBAL FORECAST TO 2030
  • 17.3.1 MARKET DEFINITION
  • 17.3.2 MARKET OVERVIEW
    • 17.3.2.1 AI Agents Market, By Offering
    • 17.3.2.2 AI Agents Market, By Product Type

18 APPENDIX

• 18.1 DISCUSSION GUIDE
• 18.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
• 18.3 CUSTOMIZATION OPTIONS
• 18.4 RELATED REPORTS
• 18.5 AUTHOR DETAILS