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Agentic AI Market

Report Code TC 8694
Published in Jun, 2025, By MarketsandMarkets™
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Agentic AI Market by Offering (Agentic AI Infrastructure, Agentic AI SaaS, Agentic AI Platforms, Agentic AI Services), Horizontal Use Case (Customer Experience, Data Analytics & BI, Sales, Marketing, Coding & Testing, SecOps) - Global Forecast to 2032

Overview

The agentic AI market is projected to grow from USD 7.06 billion in 2025 to USD 93.20 billion by 2032, registering a CAGR of 44.6% during the forecast period. This exponential growth reflects a rapid shift toward enterprise-wide deployment of intelligent software agents that can reason, act, and adapt autonomously across complex digital workflows. The rise of agentic AI is fueled by convergence across generative AI, orchestration frameworks, and reinforcement learning. These technologies are enabling modular agents to operate across dynamic environments, integrate with enterprise systems, and continuously improve performance with minimal human input. Unlike rule-based bots or chat interfaces, agentic AI is redefining enterprise automation by embedding decision-making, contextual awareness, and real-time feedback loops directly into core applications. The surge in adoption is further amplified by investments from hyperscalers, platform vendors, and digital transformation leaders aiming to drive productivity and operational agility. Industries ranging from BFSI to professional services are leveraging these capabilities to unlock new efficiencies, reduce latency in decision cycles, and improve customer and employee experiences. The shift marks a transition from tool-based AI adoption to systems-level intelligence built for scale.

Agentic AI represents autonomous AI systems that operate independently, pursue specific goals, interact with environments, learn continuously, optimize workflows, and coordinate with multiple agents without constant human supervision. Defining features of agentic AI include autonomy (operates independently without requiring constant human supervision), goal-oriented (pursues specific objectives and optimizes toward desired outcomes), environment interaction (actively perceives and responds to changes), learning capability (incorporates machine learning to improve performance), workflow optimization (enhances processes through real-time decision making), and multi-agent coordination (enables seamless collaboration between multiple AI agents).

Agentic AI Market

Attractive Opportunities in the Agentic AI Market

ASIA PACIFIC

The agentic AI market in Asia Pacific is expanding rapidly due to national AI strategies and increasing demand for localized automation. Governments are investing in autonomous systems for smart cities, public services, and industrial automation, while local vendors are building lightweight agent frameworks optimized for language diversity.

Vendors that offer agent orchestration, safe execution environments, and domain-specific capabilities will lead enterprise adoption by offering control, scalability, and measurable impact via generalist and specialist agents.

Agentic AI is advancing toward cognitive agents that combine language understanding, tool use, and multi-agent coordination. These agents operate across cloud and edge environments, interacting with users, APIs, and physical systems.

Agentic AI is transforming enterprise automation by enabling intelligent agents to perform multi-step tasks, make decisions, and coordinate across systems. The result is a shift from task execution to outcome-driven autonomy.

Adoption is rising in domains requiring real-time adaptation, such as logistics, IT operations, customer support, and field services. Businesses are moving beyond deterministic automation toward agents that reason, plan, and interact using natural language.

Global Agentic AI Market Dynamics

Driver: Rising convergence of LLMs, RPA, and tool orchestration is accelerating market adoption

One of the most compelling growth drivers for the agentic AI market is the convergence of large language models, robotic process automation, and autonomous tool orchestration within enterprise environments. This triad is enabling enterprises to move beyond static automation into adaptive, context-aware, goal-driven systems that operate across applications without explicit human intervention. Enterprises are increasingly embedding autonomous agents into workflows involving knowledge search, task coordination, and decision augmentation, driven by the desire to reduce time-to-insight and elevate productivity. Unlike traditional AI deployments that require discrete integration and control logic, agentic frameworks offer native orchestration and self-refinement capabilities. This architectural advantage is particularly appealing to digitally mature organizations seeking agility, resilience, and reduced operational latency. Market leaders are doubling down on this convergence by launching agent development toolkits, embedded orchestration runtimes, and memory-enhanced LLM wrappers to facilitate plug-and-play deployment. As automation landscapes shift from deterministic workflows to goal-driven autonomy, the agentic AI market is benefiting from widespread interest across verticals such as financial services, professional services, and healthcare. The shift is further amplified by the proliferation of copilots and API-first assistants, which are making it easier to distribute agentic capabilities across user roles, business systems, and real-time operations.

Restraint: Fragmented agent architectures are slowing enterprise-scale deployment

Despite rising adoption, the agentic AI market faces a significant bottleneck from architectural fragmentation and a lack of platform interoperability. Enterprises seeking to operationalize agents at scale are contending with disconnected tool chains, inconsistent memory handling, and limited cross-application fluidity. Most agentic deployments today remain tethered to isolated copilots or proprietary runtimes, which restricts their ability to perform persistent, context-rich tasks across departments or workflows. For enterprise leaders, this presents a major hurdle in unifying automation strategies under a common intelligence layer. The absence of standardized orchestration protocols or composable infrastructure forces teams to rebuild capabilities from scratch, increasing time-to-value and technical debt. This challenge is especially pronounced for regulated sectors such as BFSI and healthcare, where data lineage, explainability, and auditability are non-negotiable. As vendor ecosystems race to offer pre-integrated stacks and memory-augmented frameworks, early adopters must balance innovation with system stability and compliance alignment. Until infrastructure and agent lifecycle management mature further, large-scale enterprise rollouts are likely to remain constrained to modular or sandboxed environments. This mismatch between agent ambition and production readiness continues to delay full transformation for companies with complex operational footprints.

 

Opportunity: Plug-and-play agent ecosystems are creating new growth pathways for enterprises

The most significant opportunity shaping the agentic AI market is the emergence of agent marketplaces and domain-specific agent builders that allow enterprises to deploy task-focused autonomy without building from scratch. These platforms offer curated, ready-to-integrate agents for use cases such as financial forecasting, compliance checks, engineering design, legal summarization, and technical troubleshooting. This plug-and-play model unlocks a new layer of agility for enterprises, enabling faster experimentation and scale without deep in-house expertise in model engineering or orchestration logic. For software vendors, this represents a new monetization channel through agent-as-a-service offerings that are continuously retrained, optimized, and context-aligned for enterprise environments. For enterprises, it lowers the barriers to entry while enabling fine-tuned control over data access, decision scope, and governance thresholds. Early movers in this space are building configurable agent stacks that support modular memory layers, tool calling, and API chaining for more composable deployments. As these ecosystems mature, agent marketplaces will become a critical lever for democratizing agentic intelligence across functional teams, geographies, and enterprise sizes. This emerging opportunity is expected to reshape how businesses source, scale, and evolve autonomous capabilities without rebuilding the foundation every time.

Challenge: Lack of standardized evaluation metrics and benchmarking protocols for agent performance

A key challenge facing the agentic AI market is the absence of robust evaluation frameworks for benchmarking agent performance across real-world enterprise conditions. Traditional metrics such as accuracy, latency, and intent resolution are insufficient to capture the dynamic reasoning, tool use efficiency, or goal alignment that define successful autonomous agents. For enterprise leaders, this creates uncertainty in measuring ROI, validating safety thresholds, and ensuring reliability across deployments. Without standard benchmarks, comparing agent frameworks or justifying procurement decisions becomes speculative. This issue is particularly critical in high-stakes workflows such as legal review, financial auditing, or operational control, where agent actions carry business risk. Current open-source evals like AgentBench, CAMEL, and APE are still evolving and often misaligned with enterprise-grade needs such as long-context continuity, permissioned tool access, and regulatory audit trails. The lack of shared performance baselines also hinders collaboration between IT, data, and business units on agent adoption. Until comprehensive evaluation frameworks mature, most deployments will remain in controlled, low-risk environments, delaying broader rollout. Solving this challenge will require cross-industry collaboration, standardized testbeds, and alignment between vendors, regulators, and enterprise buyers.

Global Agentic AI Market Ecosystem Analysis

The agentic AI ecosystem comprises a multilayered value chain that integrates core infrastructure, orchestration platforms, verticalized SaaS offerings, and professional services. At the foundation are infrastructure and framework providers enabling agent memory, context-awareness, and compute orchestration. Platform vendors build modular environments for designing, deploying, and scaling agentic workflows across industries. SaaS players are embedding agentic intelligence within enterprise applications to automate decision-making, user interactions, and complex task flows. Complementing this, services firms provide implementation, integration, and advisory capabilities that bridge technology with business outcomes. This convergence ensures enterprise readiness, interoperability, and sustained adoption across domains.

Top Companies in Agentic AI Market

Source: Secondary Research, Interviews with Experts, and MarketsandMarkets Analysis

 

By offering, agentic AI SaaS to account for the highest growth rate during the forecast period

Agentic AI SaaS is emerging as the fastest-growing offering within the agentic AI market, driven by a decisive enterprise shift toward turnkey intelligence infused directly into business applications. These SaaS layers are enabling business users to tap into autonomous agents without requiring in-house development or orchestration capabilities. From finance and HR to customer service and procurement, enterprises are integrating agentic modules into existing software environments to automate context-sensitive decisions, augment workflow intelligence, and scale user productivity. These offerings benefit from low friction in deployment, strong horizontal applicability, and increasing API interoperability with existing tech stacks. Moreover, agentic SaaS providers are bundling explainability, role-based guardrails, and retraining capabilities, which are helping enterprises navigate internal compliance norms while expanding AI use cases. This trend is being further accelerated by the entry of leading software vendors into the agentic stack, embedding LLM-powered agents into widely used cloud platforms and business suites. As digital-first enterprises seek agility, scalability, and faster ROI from AI initiatives, agentic SaaS emerges as the preferred route for deploying intelligent agents at scale without heavy investments in infrastructure or bespoke development.

By end user, BFSI holds the largest share in 2025

The BFSI sector accounts for the largest share of the agentic AI market in 2025, driven by its sustained push toward intelligent automation across risk, compliance, and customer engagement workflows. Traditional BFSI systems, often burdened with rigid architectures and legacy processes, are now being augmented with autonomous agents that offer real-time underwriting, anomaly detection, adaptive fraud prevention, and AI-powered credit analysis. These agents operate across front, middle, and back-office layers, improving throughput while ensuring alignment with dynamic regulatory requirements. As financial institutions face margin pressures and cyberthreat escalation, agentic AI offers a modular path to orchestrate rule-based and learning-driven decisions without overhauling legacy systems. Furthermore, reinforcement learning and memory-augmented agents are being deployed to continuously refine predictive accuracy, based on historical risk data and evolving market signals. BFSI leaders are not only driving adoption through internal deployments but are also pioneering agent governance frameworks to maintain explainability and auditability, reinforcing the sector’s role as a bellwether for responsible and large-scale agentic AI implementation.

Asia Pacific is set to emerge as the fastest-growing region during the forecast period

Asia Pacific is positioned as the fastest-growing region in the agentic AI market between 2025 and 2032, supported by a surge in enterprise deployments, state-driven AI strategies, and strong cloud infrastructure expansion. Countries such as India, China, Singapore, and South Korea are leading this momentum. In 2024, India’s Ministry of Electronics and IT announced a USD 1.2 billion AI mission focused on foundational models and enterprise AI integration, directly boosting agentic infrastructure rollouts across public and private sectors. Chinese banks and insurers are deploying LLM-powered agents for automated claims, wealth management, and fraud triage, with ICBC and Ping An piloting multi-agent systems since late 2023. Southeast Asia is witnessing similar traction, with Grab and DBS Bank integrating agentic copilots into customer service and internal productivity systems. Meanwhile, Japan’s top IT integrators are launching agentic orchestration modules in smart factories and supply chain platforms, targeting export-heavy enterprises. Regional hyperscaler expansion, such as Google Cloud’s new zones in Malaysia and AWS’s planned USD 9 billion investment in Singapore, has significantly lowered latency and cost barriers. These developments, combined with a young developer ecosystem and growing AI regulatory clarity, are making Asia Pacific the fastest-moving agentic AI growth hub globally.

LARGEST REGION IN 2025
INDIA: FASTEST-GROWING MARKET IN REGION
Agentic AI Market by region

Recent Developments of Agentic AI Market

  • In July 2025, OpenAI unveiled the ChatGPT Agent, a significant leap in the evolution of autonomous AI. It integrates its existing Operator and Deep Research functionalities into a unified agentic system. Designed to handle complex, multi-step workflows, the ChatGPT Agent can navigate web interfaces, generate editable presentations, manage calendars, complete forms, and conduct advanced research, marking a shift from conversational AI to functional autonomy.
  • In May 2025, IBM announced new tools and frameworks for building and managing networks of AI agents, including pre-built domain agents for HR, procurement, and sales, now integrated with AWS Marketplace technologies. A key highlight is the planned integration between Amazon Q index and IBM watsonx Orchestrate, enabling AI agents to access and act on data from multiple third-party applications like Salesforce, Slack, and Zendesk for more personalized automation.
  • In April 2025, Microsoft updated Microsoft Dynamics 365 with hundreds of new features across all major modules. Key updates include expanded AI-powered Copilot and agent capabilities to automate tasks, improve customer service, enhance sales productivity, streamline finance and supply chain operations, and boost HR and commerce experiences. The release also brings better integration, automation, and analytics to help businesses work smarter and faster.
  • In April 2025, Google launched Agent Space, a new platform that allows businesses and developers to build AI agents that can work together, even across different organizations. These agents can perform tasks, find information, and interact with each other using an open Agent-to-Agent (A2A) protocol. This platform simplifies AI agent creation, enabling users to automate workflows, conduct real-time research, and streamline tasks, potentially leading to a marketplace for AI agents.

Key Market Players

List of Top Agentic AI Market Companies

The Agentic AI Market is dominated by a few major players that have a wide regional presence. The major players in the Agentic AI Market are

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Scope of the Report

Report Attribute Details
Market size available for years 2022 – 2032
Base year considered 2024
Forecast period 2025 – 2032
Forecast units USD (Million)
Segments Covered Offering, Horizontal Use Case, Vertical Use Case, End User, and Region
Regions covered North America, Europe, Asia Pacific, Middle East & Africa, and Latin America

Key Questions Addressed by the Report

What is agentic AI?

Agentic AI represents autonomous AI systems that operate independently, pursue specific goals, interact with environments, learn continuously, optimize workflows, and coordinate with multiple agents without constant human supervision. Defining features of agentic AI include autonomy (operates independently without requiring constant human supervision), goal-oriented (pursues specific objectives and optimizes toward desired outcomes), environment interaction (actively perceives and responds to changes), learning capability (incorporates machine learning to improve performance), workflow optimization (enhances processes through real-time decision making), and multi-agent coordination (enables seamless collaboration between multiple AI agents).

What is the total CAGR expected to be recorded for the agentic AI market between 2025 and 2032?

The agentic AI market is expected to record a CAGR of 44.6% from 2025 to 2032.

How is the agentic AI market different from AI agents?

The agentic AI market is broader than the AI agents market, as it includes autonomous agents and the full stack of technologies, orchestration frameworks, and service layers that enable goal-directed, adaptive behavior across digital and physical systems. While AI agents are the end products (software or robotic systems) that act with autonomy, agentic AI encompasses the infrastructure, development tools, and governance models that support scalable, multi-agent intelligence in real-world applications.

Which are the key drivers supporting the growth of the agentic AI market?

Some factors driving the growth of the agentic AI market include the increasing enterprise need for hyper-automation to streamline end-to-end workflows; breakthroughs in LLMs, memory, and orchestration frameworks enabling autonomous multi-step task execution; widespread access to high-performance computing and scalable AI deployment environments; and growing maturity of digital twins with agentic orchestration capabilities for real-world simulation.

Which are the top 3 end users prevailing in the agentic AI market?

BFSI, retail and e-commerce, and professional service providers lead the agentic AI market due to their need for automation, contextual decision-making, and workflow intelligence. BFSI applies agentic AI for risk scoring, compliance checks, and dynamic underwriting. Retail uses it for personalized recommendations, inventory optimization, and campaign execution. Professional service firms deploy agents for legal research, audit support, and document generation. These sectors face high volumes of data-driven tasks and demand scalable, adaptive systems that boost efficiency while maintaining traceability, making them ideal candidates for deploying task-specific, memory-enabled autonomous agents across functions.

Who are the key vendors in the agentic AI market?

Some major players in the agentic AI market include Aisera (US), Avanade (US), PwC (UK), Wipro (India), HCL Tech (India), Cognizant (US), Cisco (US), Ericsson (Sweden), NTT Data (Japan), SAS (US), Capgemini (France), Appian (US), IBM (US), ServiceNow (US), Accenture (Ireland), EY (UK), Salesforce (US), Pega (US), SAP (Germany), Snowflake (US), Altair (US), CyberArk (Israel), Zycus (US), Oracle (US), OpenAI (US), UiPath (US), Deloitte (UK), AWS (US), Microsoft (US), NVIDIA (US), Google (US), Newgen (India), Hexaware (India), AMD (US), Amdocs (US), ValueLabs (India), TCS (India), and Datamatics (US), Rewind AI (US), Ema (US), Exa (US), Orby AI (US), Artisan AI (US), Dexa AI (US), Simular, relevance AI (US), and Adept AI (US).

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Table of Contents

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TITLE
PAGE NO
INTRODUCTION
34
RESEARCH METHODOLOGY
41
EXECUTIVE SUMMARY
54
PREMIUM INSIGHTS
65
MARKET OVERVIEW AND INDUSTRY TRENDS (STRATEGIC DRIVERS WITH QUANTITATIVE IMPLICATIONS)
Unpacking the forces shaping agentic AI: adoption & future growth opportunities
68
  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    DRIVERS
    - Increasing enterprise need for hyper-automation to streamline workflows end-to-end
    - Breakthroughs in LLMs, memory, and orchestration frameworks enabling autonomous multi-step task execution
    - Widespread access to high-performance computing and scalable AI deployment environments
    - Growing integration of digital twins with agentic orchestration for real-world simulation
    RESTRAINTS
    - Inconsistent standards for safe agent coordination across geographies
    - Unclear ROI for some sectors where simpler automation suffices
    OPPORTUNITIES
    - New orchestration engines for multiple autonomous agents working collaboratively
    - Scaling autonomous agents across BFSI, telecom, and manufacturing for digital transformation
    - Emerging AI regulations unlocking new markets for compliant autonomy
    CHALLENGES
    - Fragmented autonomy stacks and missing interoperability standards restricting system integration
    - Legal and ethical gaps around autonomous actions delaying adoption in regulated sectors
  • 5.3 EVOLUTION OF AGENTIC AI
  • 5.4 SUPPLY CHAIN ANALYSIS
  • 5.5 ECOSYSTEM ANALYSIS
    AGENTIC AI FRAMEWORK PROVIDERS
    AGENTIC AI PLATFORM PROVIDERS
    AGENTIC AI SAAS PROVIDERS
    AGENTIC AI SERVICE PROVIDERS
  • 5.6 STRATEGIC ROADMAP FOR ENTERPRISES
    ORGANIZATIONAL READINESS ASSESSMENT
    INTEGRATION STRATEGIES
    CHANGE MANAGEMENT AND TALENT STRATEGY
    GOVERNANCE AND CONTROL
    VENDOR AND PARTNER EVALUATION FRAMEWORK
    GO-TO-MARKET IMPLICATIONS
    SUCCESS METRICS AND ROI MEASUREMENT
  • 5.7 FUTURE OUTLOOK
    EVOLUTION TOWARD SUPER-AGENTIC SYSTEMS
    LONG-TERM SOCIETAL AND WORKFORCE IMPACT
    POTENTIAL RISKS AND EXISTENTIAL CONCERNS
    SCENARIO PLANNING
    INVESTMENT AND INNOVATION OPPORTUNITIES
    NEXT FRONTIER RESEARCH AREAS
  • 5.8 IMPACT OF 2025 US TARIFF – AGENTIC AI MARKET
    INTRODUCTION
    KEY TARIFF RATES
    PRICE IMPACT ANALYSIS
    - Strategic shifts and emerging trends
    IMPACT ON COUNTRY/REGION
    - US
    - China
    - Europe
    - Asia Pacific (excluding China)
    IMPACT ON END-USE INDUSTRIES
    - BFSI
    - Telecommunications
    - Government & public sector
    - Healthcare & life sciences
    - Manufacturing
    - Media & entertainment
    - Retail & e-commerce
    - Software & technology providers
  • 5.9 INVESTMENT AND FUNDING SCENARIO
  • 5.10 CASE STUDY ANALYSIS
    CENCORA REALIZED 4X FASTER TURNAROUND THROUGH INFINITUS’ VOISE AI AGENTS
    TEVA PHARMACEUTICALS DEPLOYS CONVERSATIONAL AI AGENT “MEDI” TO ENHANCE MEDICATION INFORMATION ACCESS AND SAFETY
    AISERA AND CITY AND COUNTY OF DENVER — AUTOMATING CITIZEN SERVICES WITH AGENTIC AI
    EZCATER ELEVATES COMPLEX CUSTOMER SERVICE OPERATIONS WITH LEVEL AI’S AUTONOMOUS AGENT SOLUTIONS
  • 5.11 TECHNOLOGY ANALYSIS
    KEY TECHNOLOGIES
    - Reinforcement learning (RL)
    - Multi-agent systems (MAS)
    - Continual learning
    - Symbolic planning & decision-making
    - Contextual memory & retrieval mechanisms
    COMPLEMENTARY TECHNOLOGIES
    - Large language models (LLMs)
    - Natural language understanding (NLU)
    - Generative AI
    - Computer vision
    - Vector embedding & similarity search
    ADJACENT TECHNOLOGIES
    - AIOps
    - Computer Vision
    - Explainable AI (XAI)
    - Blockchain
    - Natural Language Understanding (NLU)
  • 5.12 REGULATORY LANDSCAPE
    REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    REGULATIONS
    - North America
    - Europe
    - Asia Pacific
    - Middle East & Africa
    - Latin America
  • 5.13 PATENT ANALYSIS
    METHODOLOGY
    PATENTS FILED, BY DOCUMENT TYPE
    INNOVATION AND PATENT APPLICATIONS
  • 5.14 PRICING ANALYSIS
    AVERAGE SELLING PRICE OF OFFERINGS, BY KEY PLAYER, 2025
    AVERAGE SELLING PRICE OF HORIZONTAL USE CASES, 2025
  • 5.15 KEY CONFERENCES AND EVENTS, 2025–2026
  • 5.16 PORTER’S FIVE FORCES ANALYSIS
    THREAT OF NEW ENTRANTS
    THREAT OF SUBSTITUTES
    BARGAINING POWER OF SUPPLIERS
    BARGAINING POWER OF BUYERS
    INTENSITY OF COMPETITIVE RIVALRY
  • 5.17 KEY STAKEHOLDERS AND BUYING CRITERIA
    KEY STAKEHOLDERS IN BUYING PROCESS
    BUYING CRITERIA
  • 5.18 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
AGENTIC AI MARKET, BY OFFERING (MARKET SIZE & FORECAST TO 2032 – IN VALUE (USD))
Detailed breakdown of market share and growth across agentic AI infrastructure, platforms, saas and services
119
  • 6.1 INTRODUCTION
    DRIVERS: AGENTIC AI MARKET, BY OFFERING
  • 6.2 AGENTIC AI INFRASTRUCTURE
    INNOVATIONS IN MEMORY-AUGMENTED AGENTS AND TASK-CHAINING ENABLE COMPLEX PERFORMANCE AND AUTONOMOUS FUNCTIONS
  • 6.3 AGENTIC AI PLATFORMS
    TASK-CHAINING AND CONTEXTUAL MEMORY DRIVE NEW FRONTIERS FOR ENTERPRISE-GRADE AUTONOMY
  • 6.4 AGENTIC AI SAAS
    AUTONOMOUS BEHAVIOR EMBEDDED IN SAAS UNLOCKS REAL-WORLD PROCESS OPTIMIZATION
  • 6.5 AGENTIC AI SERVICES
    END-TO-END AGENTIC AI SERVICES ANCHOR ADOPTION AND TRUST IN AGENTIC DEPLOYMENTS
AGENTIC AI MARKET, BY HORIZONTAL USE CASE (MARKET SIZE & FORECAST TO 2032 – IN VALUE (USD))
detailed breakdown of market share and growth across agentic ai horizontal use cases
126
  • 7.1 INTRODUCTION
    DRIVERS: AGENTIC AI MARKET, BY HORIZONTAL USE CASE
  • 7.2 FINANCE & ACCOUNTING
    AUTONOMOUS AGENTS RESHAPE COMPLEX FINANCE & ACCOUNTING WORKFLOWS
  • 7.3 WORKPLACE EXPERIENCE
    ELEVATING EMPLOYEE EXPERIENCE THROUGH CONTEXT-AWARE AUTONOMOUS AGENTS
  • 7.4 SALES
    AUTONOMOUS AGENTS UNLOCK ALWAYS-ON SALES INTELLIGENCE AND DEAL ACCELERATION
  • 7.5 DATA ANALYTICS & BI
    AUTONOMOUS ORCHESTRATION AMPLIFIES DATA ANALYTICS AND BUSINESS INSIGHTS
  • 7.6 MARKETING
    AGENTIC AI DRIVES PRECISION, PERSONALIZATION, AND CAMPAIGN AUTONOMY IN MARKETING
  • 7.7 SECURITY OPS
    AUTONOMOUS AGENTS REINVENT THREAT DETECTION AND RESPONSE CYCLES IN SECURITY OPS
  • 7.8 CUSTOMER EXPERIENCE
    ORCHESTRATED AGENTS ELEVATE CUSTOMER SERVICE WITH ADAPTIVE, PROACTIVE SUPPORT
  • 7.9 DATA RETRIEVAL
    AGENTIC ORCHESTRATION TRANSFORMS ENTERPRISE DATA RETRIEVAL INTO CONTEXTUAL INTELLIGENCE
  • 7.10 CODING & TESTING
    AUTONOMOUS AGENTS BOOST DEVELOPER VELOCITY AND SOFTWARE RELIABILITY
  • 7.11 REGULATORY COMPLIANCE
    AGENTIC AI ELEVATES COMPLIANCE MONITORING AND CONTINUOUS RISK MITIGATION
AGENTIC AI MARKET, BY VERTICAL USE CASE (MARKET SIZE & FORECAST TO 2032 – IN VALUE (USD))
Detailed breakdown of market share and growth across agentic ai vertical use cases
140
  • 8.1 INTRODUCTION
    DRIVERS: AGENTIC AI MARKET, BY VERTICAL USE CASE
  • 8.2 BFSI
    AGENTIC AI REVOLUTIONIZES CORE BANKING WORKFLOWS WITH ADAPTIVE RISK CONTROLS AND INTELLIGENT PROCESS AUTOMATION
    FRAUD DETECTION
    AUTOMATED CREDIT UNDERWRITING
    AUTONOMOUS CLAIMS PROCESSING
    PORTFOLIO RISK SIMULATION
    COMPLIANCE MONITORING
    OTHER BFSI VERTICAL USE CASES
  • 8.3 RETAIL & E-COMMERCE
    AGENTIC AI POWERS INTELLIGENT MERCHANDISING, PRICING PRECISION, AND SEAMLESS OMNICHANNEL RETAIL OPERATIONS
    DYNAMIC PRICING OPTIMIZATION
    INTELLIGENT INVENTORY MANAGEMENT
    CHECKOUT FRAUD PREVENTION
    LAST-MILE ROUTE OPTIMIZATION
    PERSONALIZED MERCHANDISING LAYOUTS
    OTHER RETAIL & E-COMMERCE VERTICAL USE CASES
  • 8.4 PROFESSIONAL SERVICES
    AGENTIC AI UNLOCKS SCALABLE EXPERTISE AND ENGAGEMENT INTELLIGENCE ACROSS HIGH-TOUCH PROFESSIONAL SERVICES
    CONTRACT REVIEW & LEGAL DRAFTING
    AUDIT WORKFLOW MANAGEMENT
    PROPOSAL & RFP GENERATION
    GENERATIVE DESIGN
    CAMPAIGN VARIANT GENERATION
    OTHER PROFESSIONAL SERVICE VERTICAL USE CASES
  • 8.5 HEALTHCARE & LIFE SCIENCES
    AGENTIC AI ELEVATES PATIENT CARE AND CLINICAL EFFICIENCY THROUGH SELF-LEARNING DIAGNOSTIC AND WORKFLOW AGENTS
    CLINICAL TRIAL WORKFLOW OPTIMIZATION
    AI-POWERED DIAGNOSTIC IMAGING
    PERSONALIZED TREATMENT PLANNING
    HOSPITAL RESOURCE ORCHESTRATION
    AUTONOMOUS CLAIMS REVIEW
    OTHER HEALTHCARE & LIFE SCIENCES VERTICAL USE CASES
  • 8.6 TELECOMMUNICATIONS
    AGENTIC AI ORCHESTRATES REAL-TIME TELECOM OPERATIONS, BILLING, FRAUD DETECTION, AND CUSTOMER EXPERIENCE AUTOMATION
    RAN CONFIGURATION OPTIMIZATION
    TELECOM FRAUD DETECTION
    PREDICTIVE NETWORK FAULT RESOLUTION
    DYNAMIC BANDWIDTH ALLOCATION
    AUTONOMOUS BILLING DISPUTE HANDLING
    OTHER TELECOMMUNICATIONS VERTICAL USE CASES
  • 8.7 SOFTWARE & TECHNOLOGY PROVIDERS
    SOFTWARE & TECHNOLOGY PROVIDERS EMBED AGENTIC AI TO AUTOMATE PIPELINES, TEST APIS, AND OPTIMIZE CLOUD SPEND
    DEVOPS PIPELINE AUTOMATION
    INTELLIGENT FEATURE FLAG MANAGEMENT
    CONTINUOUS VULNERABILITY REMEDIATION
    AUTONOMOUS API BEHAVIOR TESTING
    CLOUD RESOURCE OPTIMIZATION
    OTHER SOFTWARE & TECHNOLOGY PROVIDERS VERTICAL USE CASES
  • 8.8 MEDIA & ENTERTAINMENT
    MEDIA & ENTERTAINMENT FIRMS LEVERAGE AGENTIC AI FOR CONTENT GENERATION, CURATION, AND AUDIENCE ENGAGEMENT AT SCALE
    AUTOMATED CONTENT GENERATION
    INTELLIGENT CONTENT MODERATION
    CROSS-PLATFORM AUDIENCE PERSONALIZATION
    AI-ASSISTED PRODUCTION PLANNING
    LIVE EVENT ORCHESTRATION
    OTHER MEDIA & ENTERTAINMENT VERTICAL USE CASES
  • 8.9 LOGISTICS & TRANSPORTATION
    AGENTIC AI REDEFINES LOGISTICS WITH AUTONOMOUS ORCHESTRATION AND REAL-TIME OPERATIONAL PRECISION
    REAL-TIME ROUTE OPTIMIZATION
    AUTONOMOUS WAREHOUSE COORDINATION
    DRONE FLEET MANAGEMENT
    INTELLIGENT LOGISTICS AUDITING
    MULTI-MODAL DELIVERY ORCHESTRATION
    OTHER LOGISTICS & TRANSPORTATION VERTICAL USE CASES
  • 8.10 GOVERNMENT & DEFENSE
    GOVERNMENT & DEFENSE ELEVATING NATIONAL RESILIENCE THROUGH AGENTIC AI ORCHESTRATION
    PUBLIC SAFETY SURVEILLANCE
    AUTONOMOUS BORDER MONITORING
    DISASTER RESPONSE PLANNING
    URBAN MOBILITY COORDINATION
    PUBLIC INFRASTRUCTURE INCIDENT DETECTION
    OTHER GOVERNMENT & DEFENSE VERTICAL USE CASES
  • 8.11 AUTOMOTIVE
    TRANSFORMING VEHICLE AUTONOMY AND IN-CABIN EXPERIENCES WITH INTELLIGENT AGENTIC ORCHESTRATION
    AUTONOMOUS VEHICLE NAVIGATION
    IN-VEHICLE DECISION SUPPORT
    DRIVER BEHAVIOR ADAPTATION
    PREDICTIVE IN-CABIN PERSONALIZATION
    SAFETY SYSTEM COORDINATION
    OTHER AUTOMOTIVE VERTICAL USE CASES
  • 8.12 ENERGY & UTILITIES
    ORCHESTRATING INTELLIGENT GRIDS AND ENERGY ASSETS THROUGH AGENTIC AI COORDINATION
    DECENTRALIZED GRID OPTIMIZATION
    SMART GRID MANAGEMENT
    DEMAND RESPONSE MANAGEMENT
    PIPELINE LEAK DETECTION
    AUTONOMOUS ENERGY ASSET COORDINATION
    OTHER ENERGY & UTILITIES VERTICAL USE CASES
  • 8.13 MANUFACTURING
    AGENTIC AI REWIRES MODERN MANUFACTURING FOR AUTONOMOUS RESILIENCE AND ADAPTIVE PRODUCTIVITY
    SMART FACTORY OPERATIONS
    PREDICTIVE MAINTENANCE SCHEDULING
    SUPPLY CHAIN OPTIMIZATION
    AUTOMATED QUALITY INSPECTION
    WORKPLACE SAFETY MONITORING
    OTHER MANUFACTURING VERTICAL USE CASES
AGENTIC AI MARKET, BY END USER (MARKET SIZE & FORECAST TO 2032 – IN VALUE (USD))
End user-specific market sizing, growth, and key trends
179
  • 9.1 INTRODUCTION
    DRIVERS: AGENTIC AI MARKET, BY END USER
  • 9.2 INDIVIDUAL USERS
  • 9.3 ENTERPRISES
    BFSI
    - Autonomous agents increasingly being embedded in personalized financial recommendations and automate claims processing
    RETAIL & E-COMMERCE
    - Agentic AI drives always-on personalization, dynamic inventory, and adaptive customer engagement at scale
    PROFESSIONAL SERVICE PROVIDERS
    - Rising demand for faster, cost-efficient expert services pushing agentic AI adoption across professional service firms
    HEALTHCARE & LIFE SCIENCES
    - Agentic AI enables real-time clinical decision support and autonomous patient journey management end-to-end
    TELECOMMUNICATIONS
    - Agentic AI streamlines network operations and personalizes user services for hyperconnected digital environments
    TECHNOLOGY & SOFTWARE PROVIDERS
    - Agentic AI fuels next-gen software development, automated testing, and continuous product innovation cycles
    MEDIA & ENTERTAINMENT
    - Agentic AI powers hyper-personalized content creation and real-time audience engagement experiences
    TRANSPORTATION & LOGISTICS
    - Agentic AI orchestrates supply chain flows and autonomous fleet operations in real-time
    GOVERNMENT & DEFENSE
    - Agentic AI enhances autonomous decision-making for critical defense, public safety, and citizen services
    AUTOMOTIVE
    - Agentic AI integrates autonomous driving, predictive maintenance, and driver experience in next-gen vehicles
    ENERGY & UTILITIES
    - Agentic AI optimizes distributed energy grids and autonomous demand response at scale
    MANUFACTURING
    - Agentic AI automates factory floor coordination, predictive quality control, and adaptive production planning
    OTHER ENTERPRISES
AGENTIC AI MARKET, BY REGION (MARKET SIZE & FORECAST TO 2032 – IN VALUE (USD))
Regional market sizing, forecasts, and regulatory landscapes
198
  • 10.1 INTRODUCTION
  • 10.2 NORTH AMERICA
    NORTH AMERICA: AGENTIC AI MARKET DRIVERS
    NORTH AMERICA: MACROECONOMIC OUTLOOK
    US
    CANADA
  • 10.3 EUROPE
    EUROPE: AGENTIC AI MARKET DRIVERS
    EUROPE: MACROECONOMIC OUTLOOK
    UK
    GERMANY
    FRANCE
    ITALY
    SPAIN
    NETHERLANDS
    REST OF EUROPE
  • 10.4 ASIA PACIFIC
    ASIA PACIFIC: AGENTIC AI MARKET DRIVERS
    ASIA PACIFIC: MACROECONOMIC OUTLOOK
    CHINA
    INDIA
    JAPAN
    SOUTH KOREA
    SINGAPORE
    AUSTRALIA & NEW ZEALAND
    REST OF ASIA PACIFIC
  • 10.5 MIDDLE EAST & AFRICA
    MIDDLE EAST & AFRICA: AGENTIC AI MARKET DRIVERS
    MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
    SAUDI ARABIA
    UAE
    QATAR
    TURKEY
    REST OF MIDDLE EAST
    SOUTH AFRICA
  • 10.6 LATIN AMERICA
    LATIN AMERICA: AGENTIC AI MARKET DRIVERS
    LATIN AMERICA: MACROECONOMIC OUTLOOK
    BRAZIL
    MEXICO
    ARGENTINA
    REST OF LATIN AMERICA
COMPETITIVE LANDSCAPE
Strategic profiles of leading players & their playbooks for market dominance
257
  • 11.1 OVERVIEW
  • 11.2 KEY PLAYERS’ STRATEGIES, 2022 - 2025
  • 11.3 REVENUE ANALYSIS, 2022 - 2024
  • 11.4 MARKET SHARE ANALYSIS, 2024
    MARKET RANKING ANALYSIS, 2024
  • 11.5 PRODUCT COMPARATIVE ANALYSIS
    PRODUCT COMPARATIVE ANALYSIS: AGENTIC AI INFRASTRUCTURE PROVIDERS
    PRODUCT COMPARATIVE ANALYSIS: AGENTIC AI PLATFORM PROVIDERS
    PRODUCT COMPARATIVE ANALYSIS: AGENTIC AI SAAS PROVIDERS
  • 11.6 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS
  • 11.7 COMPANY EVALUATION MATRIX: KEY PLAYERS (AGENTIC AI INFRASTRUCTURE VENDORS)
    STARS
    EMERGING LEADERS
    PERVASIVE PLAYERS
    PARTICIPANTS
    COMPANY FOOTPRINT: KEY PLAYERS (AGENTIC AI INFRASTRUCTURE)
    - Overall Company Footprint
    - Offering Footprint
    - Region Footprint
    - Horizontal Use Case Footprint
    - End User Footprint
  • 11.8 COMPANY EVALUATION MATRIX: KEY PLAYERS (AGENTIC AI PLATFORM VENDORS)
    STARS
    EMERGING LEADERS
    PERVASIVE PLAYERS
    PARTICIPANTS
    COMPANY FOOTPRINT: KEY PLAYERS (AGENTIC AI PLATFORMS)
    - Overall Company Footprint
    - Offering Footprint
    - Region Footprint
    - Horizontal Use Case Footprint
    - End User Footprint
  • 11.9 COMPANY EVALUATION MATRIX: KEY PLAYERS (AGENTIC AI SAAS VENDORS)
    STARS
    EMERGING LEADERS
    PERVASIVE PLAYERS
    PARTICIPANTS
    COMPANY FOOTPRINT: KEY PLAYERS (AGENTIC AI SAAS)
    - Overall Company Footprint
    - Offering Footprint
    - Region Footprint
    - Horizontal Use Case Footprint
    - End User Footprint
  • 11.10 COMPANY EVALUATION MATRIX: KEY PLAYERS (AGENTIC AI SERVICE PROVIDERS)
    STARS
    EMERGING LEADERS
    PERVASIVE PLAYERS
    PARTICIPANTS
    COMPANY FOOTPRINT: KEY PLAYERS (AGENTIC AI SERVICES)
    - Overall Company Footprint
    - Offering Footprint
    - Region Footprint
    - Horizontal Use Case Footprint
    - End User Footprint
  • 11.11 COMPETITIVE SCENARIO
    PRODUCT LAUNCHES & ENHANCEMENTS
    DEALS
COMPANY PROFILES
In-depth look at their strengths, weaknesses, product portfolios, recent developments, and strategic moves
301
  • 12.1 INTRODUCTION
  • 12.2 AI INFRASTRUCTURE/FRAMEWORK PROVIDERS
    MICROSOFT
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    NVIDIA
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    GOOGLE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    AWS
    AMD
  • 12.3 AGENTIC AI PLATFORM PROVIDERS
    OPENAI
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    UIPATH
    SNOWFLAKE
    AISERA
    APPIAN
    NEWGEN
    AMDOCS
    HEXAWARE
    ADEPT AI
    RELEVANCE AI
  • 12.4 AGENTIC AI SERVICE PROVIDERS
    ACCENTURE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    COGNIZANT
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    NTT DATA
    DELOITTE
    EY
    WIPRO
    CAPGEMINI
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    HCL TECH
    TCS
    PWC
    DATAMATICS
  • 12.5 AGENTIC AI SAAS PROVIDERS
    SAP
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    IBM
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    - MnM view
    SALESFORCE
    - Business overview
    - Products/Solutions/Services offered
    - Recent developments
    SERVICENOW
    CISCO
    ALTAIR
    PEGA
    CYBERARK
    ZYCUS
    ORACLE
    SAS INSTITUTE
    AVANADE
    ERICSSON
    VALUELABS
    REWIND AI
    EMA
    ORBY AI
    EXA
    ARTISAN AI
    DEXA AI
    SIMULAR
ADJACENT AND RELATED MARKETS
375
  • 13.1 INTRODUCTION
  • 13.2 AI AGENTS MARKET – GLOBAL FORECAST TO 2030
    MARKET DEFINITION
    MARKET OVERVIEW
    - AI agents market, by offering
    - AI agents market, by agent system
    - AI agents market, by product type
    - AI agents market, by agent role
    - AI agents market, by end user
    - AI agents market, by region
  • 13.3 ARTIFICIAL INTELLIGENCE MARKET – GLOBAL FORECAST TO 2032
    MARKET DEFINITION
    MARKET OVERVIEW
    - Artificial intelligence (AI) market, by offering
    - Artificial intelligence (AI)market, by technology
    - Artificial intelligence (AI)market, by business function
    - Artificial intelligence (AI)market, by enterprise application
    - Artificial intelligence (AI)market, by end user
    - Artificial intelligence (AI)market, by region
APPENDIX
389
  • 14.1 DISCUSSION GUIDE
  • 14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
  • 14.3 CUSTOMIZATION OPTIONS
  • 14.4 RELATED REPORTS
  • 14.5 AUTHOR DETAILS
LIST OF TABLES
 
  • TABLE 1 UNITED STATES DOLLAR EXCHANGE RATE, 2020–2024
  • TABLE 2 PRIMARY INTERVIEWS
  • TABLE 3 FACTOR ANALYSIS
  • TABLE 4 AGENTIC AI VS. AI AGENTS: KEY DISTINCTIONS
  • TABLE 5 LEVELS OF AGENT AUTONOMY FRAMEWORK
  • TABLE 6 GLOBAL AGENTIC AI MARKET SIZE AND GROWTH RATE, 2022–2024 (USD MILLION, Y-O-Y %)
  • TABLE 7 GLOBAL MARKET SIZE AND GROWTH RATE, 2025–2032 (USD MILLION, Y-O-Y %)
  • TABLE 8 MARKET: ROLE OF COMPANIES IN ECOSYSTEM
  • TABLE 9 US-ADJUSTED RECIPROCAL TARIFF RATES
  • TABLE 10 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 11 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 12 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 13 MIDDLE EAST & AFRICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 14 LATIN AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 15 PATENTS FILED, 2016–2025
  • TABLE 16 LIST OF FEW PATENTS IN AGENTIC AI MARKET, 2024–2025
  • TABLE 17 AVERAGE SELLING PRICE OF OFFERINGS, BY KEY PLAYER, 2025
  • TABLE 18 AVERAGE SELLING PRICE OF HORIZONTAL USE CASES, 2025
  • TABLE 19 MARKET: LIST OF KEY CONFERENCES AND EVENTS, 2025–2026
  • TABLE 20 IMPACT OF PORTER’S FIVE FORCES ON MARKET
  • TABLE 21 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE ENTERPRISE END USERS
  • TABLE 22 KEY BUYING CRITERIA FOR TOP THREE ENTERPRISE END USERS
  • TABLE 23 MARKET, BY OFFERING, 2022–2024 (USD MILLION)
  • TABLE 24 AGENTIC AI MARKET, BY OFFERING, 2025–2032 (USD MILLION)
  • TABLE 25 AGENTIC AI INFRASTRUCTURE: MARKET, BY REGION, 2022–2024 (USD MILLION)
  • TABLE 26 AGENTIC AI INFRASTRUCTURE: MARKET, BY REGION, 2025–2032 (USD MILLION)
  • TABLE 27 AGENTIC AI PLATFORMS: MARKET, BY REGION, 2022–2024 (USD MILLION)
  • TABLE 28 AGENTIC AI PLATFORMS: MARKET, BY REGION, 2025–2032 (USD MILLION)
  • TABLE 29 AGENTIC AI SAAS: MARKET, BY REGION, 2022–2024 (USD MILLION)
  • TABLE 30 AGENTIC AI SAAS: MARKET, BY REGION, 2025–2032 (USD MILLION)
  • TABLE 31 AGENTIC AI SERVICES: MARKET, BY REGION, 2022–2024 (USD MILLION)
  • TABLE 32 AGENTIC AI SERVICES: MARKET, BY REGION, 2025–2032 (USD MILLION)
  • TABLE 33 MARKET, BY HORIZONTAL USE CASE, 2022–2024 (USD MILLION)
  • TABLE 34 MARKET, BY HORIZONTAL USE CASE, 2025–2032 (USD MILLION)
  • TABLE 35 FINANCE & ACCOUNTING: MARKET, BY REGION, 2022–2024 (USD MILLION)
  • TABLE 36 FINANCE & ACCOUNTING: AGENTIC AI MARKET, BY REGION, 2025–2032 (USD MILLION)
  • TABLE 37 WORKPLACE EXPERIENCE: MARKET, BY REGION, 2022–2024 (USD MILLION)
  • TABLE 38 WORKPLACE EXPERIENCE: MARKET, BY REGION, 2025–2032 (USD MILLION)
  • TABLE 39 SALES: MARKET, BY REGION, 2022–2024 (USD MILLION)
  • TABLE 40 SALES: MARKET, BY REGION, 2025–2032 (USD MILLION)
  • TABLE 41 DATA ANALYTICS & BI: MARKET, BY REGION, 2022–2024 (USD MILLION)
  • TABLE 42 DATA ANALYTICS & BI: MARKET, BY REGION, 2025–2032 (USD MILLION)
  • TABLE 43 MARKETING: MARKET, BY REGION, 2022–2024 (USD MILLION)
  • TABLE 44 MARKETING: AGENTIC AI MARKET, BY REGION, 2025–2032 (USD MILLION)
  • TABLE 45 SECURITY OPS: MARKET, BY REGION, 2022–2024 (USD MILLION)
  • TABLE 46 SECURITY OPS: MARKET, BY REGION, 2025–2032 (USD MILLION)
  • TABLE 47 CUSTOMER EXPERIENCE: MARKET, BY REGION, 2022–2024 (USD MILLION)
  • TABLE 48 CUSTOMER EXPERIENCE: MARKET, BY REGION, 2025–2032 (USD MILLION)
  • TABLE 49 DATA RETRIEVAL: MARKET, BY REGION, 2022–2024 (USD MILLION)
  • TABLE 50 DATA RETRIEVAL: MARKET, BY REGION, 2025–2032 (USD MILLION)
  • TABLE 51 CODING & TESTING: MARKET, BY REGION, 2022–2024 (USD MILLION)
  • TABLE 52 CODING & TESTING: AGENTIC AI MARKET, BY REGION, 2025–2032 (USD MILLION)
  • TABLE 53 REGULATORY COMPLIANCE: MARKET, BY REGION, 2022–2024 (USD MILLION)
  • TABLE 54 REGULATORY COMPLIANCE: MARKET, BY REGION, 2025–2032 (USD MILLION)
  • TABLE 55 VERTICAL USE CASE: MARKET, BY REGION, 2022–2024 (USD MILLION)
  • TABLE 56 VERTICAL USE CASE: MARKET, BY REGION, 2025–2032 (USD MILLION)
  • TABLE 57 BFSI: MARKET, BY VERTICAL USE CASE, 2022–2024 (USD MILLION)
  • TABLE 58 BFSI: MARKET, BY VERTICAL USE CASE, 2025–2032 (USD MILLION)
  • TABLE 59 RETAIL & E-COMMERCE: MARKET, BY VERTICAL USE CASE, 2022–2024 (USD MILLION)
  • TABLE 60 RETAIL & E-COMMERCE: MARKET, BY VERTICAL USE CASE, 2025–2032 (USD MILLION)
  • TABLE 61 PROFESSIONAL SERVICES: MARKET, BY VERTICAL USE CASE, 2022–2024 (USD MILLION)
  • TABLE 62 PROFESSIONAL SERVICES: MARKET, BY VERTICAL USE CASE, 2025–2032 (USD MILLION)
  • TABLE 63 HEALTHCARE & LIFE SCIENCES: MARKET, BY VERTICAL USE CASE, 2022–2024 (USD MILLION)
  • TABLE 64 HEALTHCARE & LIFE SCIENCES: AGENTIC AI MARKET, BY VERTICAL USE CASE, 2025–2032 (USD MILLION)
  • TABLE 65 TELECOMMUNICATIONS: MARKET, BY VERTICAL USE CASE, 2022–2024 (USD MILLION)
  • TABLE 66 TELECOMMUNICATIONS: MARKET, BY VERTICAL USE CASE, 2025–2032 (USD MILLION)
  • TABLE 67 SOFTWARE & TECHNOLOGY PROVIDERS: MARKET, BY VERTICAL USE CASE, 2022–2024 (USD MILLION)
  • TABLE 68 SOFTWARE & TECHNOLOGY PROVIDERS: MARKET, BY VERTICAL USE CASE, 2025–2032 (USD MILLION)
  • TABLE 69 MEDIA & ENTERTAINMENT: MARKET, BY VERTICAL USE CASE, 2022–2024 (USD MILLION)
  • TABLE 70 MEDIA & ENTERTAINMENT: AGENTIC AI MARKET, BY VERTICAL USE CASE, 2025–2032 (USD MILLION)
  • TABLE 71 LOGISTICS & TRANSPORTATION: MARKET, BY VERTICAL USE CASE, 2022–2024 (USD MILLION)
  • TABLE 72 LOGISTICS & TRANSPORTATION: MARKET, BY VERTICAL USE CASE, 2025–2032 (USD MILLION)
  • TABLE 73 GOVERNMENT & DEFENSE: MARKET, BY VERTICAL USE CASE, 2022–2024 (USD MILLION)
  • TABLE 74 GOVERNMENT & DEFENSE: MARKET, BY VERTICAL USE CASE, 2025–2032 (USD MILLION)
  • TABLE 75 AUTOMOTIVE: MARKET, BY VERTICAL USE CASE, 2022–2024 (USD MILLION)
  • TABLE 76 AUTOMOTIVE: MARKET, BY VERTICAL USE CASE, 2025–2032 (USD MILLION)
  • TABLE 77 ENERGY & UTILITIES: AGENTIC AI MARKET, BY VERTICAL USE CASE, 2022–2024 (USD MILLION)
  • TABLE 78 ENERGY & UTILITIES: MARKET, BY VERTICAL USE CASE, 2025–2032 (USD MILLION)
  • TABLE 79 MANUFACTURING: MARKET, BY VERTICAL USE CASE, 2022–2024 (USD MILLION)
  • TABLE 80 MANUFACTURING: MARKET, BY VERTICAL USE CASE, 2025–2032 (USD MILLION)
  • TABLE 81 MARKET, BY END USER, 2022–2024 (USD MILLION)
  • TABLE 82 MARKET, BY END USER, 2025–2032 (USD MILLION)
  • TABLE 83 INDIVIDUAL USERS: MARKET, BY REGION, 2022–2024 (USD MILLION)
  • TABLE 84 INDIVIDUAL USERS: MARKET, BY REGION, 2025–2032 (USD MILLION)
  • TABLE 85 MARKET, BY ENTERPRISE, 2022–2024 (USD MILLION)
  • TABLE 86 MARKET, BY ENTERPRISE, 2025–2032 (USD MILLION)
  • TABLE 87 BFSI: AGENTIC AI MARKET, BY REGION, 2022–2024 (USD MILLION)
  • TABLE 88 BFSI: MARKET, BY REGION, 2025–2032 (USD MILLION)
  • TABLE 89 RETAIL & E-COMMERCE: MARKET, BY REGION, 2022–2024 (USD MILLION)
  • TABLE 90 RETAIL & E-COMMERCE: MARKET, BY REGION, 2025–2032 (USD MILLION)
  • TABLE 91 PROFESSIONAL SERVICE PROVIDERS: MARKET, BY REGION, 2022–2024 (USD MILLION)
  • TABLE 92 PROFESSIONAL SERVICE PROVIDERS: MARKET, BY REGION, 2025–2032 (USD MILLION)
  • TABLE 93 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2022–2024 (USD MILLION)
  • TABLE 94 HEALTHCARE & LIFE SCIENCES: MARKET, BY REGION, 2025–2032 (USD MILLION)
  • TABLE 95 TELECOMMUNICATIONS: MARKET, BY REGION, 2022–2024 (USD MILLION)
  • TABLE 96 TELECOMMUNICATIONS: MARKET, BY REGION, 2025–2032 (USD MILLION)
  • TABLE 97 TECHNOLOGY & SOFTWARE PROVIDERS: MARKET, BY REGION, 2022–2024 (USD MILLION)
  • TABLE 98 TECHNOLOGY & SOFTWARE PROVIDERS: AGENTIC AI MARKET, BY REGION, 2025–2032 (USD MILLION)
  • TABLE 99 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2022–2024 (USD MILLION)
  • TABLE 100 MEDIA & ENTERTAINMENT: MARKET, BY REGION, 2025–2032 (USD MILLION)
  • TABLE 101 TRANSPORTATION & LOGISTICS: MARKET, BY REGION, 2022–2024 (USD MILLION)
  • TABLE 102 TRANSPORTATION & LOGISTICS: MARKET, BY REGION, 2025–2032 (USD MILLION)
  • TABLE 103 GOVERNMENT & DEFENSE: MARKET, BY REGION, 2022–2024 (USD MILLION)
  • TABLE 104 GOVERNMENT & DEFENSE: MARKET, BY REGION, 2025–2032 (USD MILLION)
  • TABLE 105 AUTOMOTIVE: AGENTIC AI MARKET, BY REGION, 2022–2024 (USD MILLION)
  • TABLE 106 AUTOMOTIVE: MARKET, BY REGION, 2025–2032 (USD MILLION)
  • TABLE 107 ENERGY & UTILITIES: MARKET, BY REGION, 2022–2024 (USD MILLION)
  • TABLE 108 ENERGY & UTILITIES: MARKET, BY REGION, 2025–2032 (USD MILLION)
  • TABLE 109 MANUFACTURING: MARKET, BY REGION, 2022–2024 (USD MILLION)
  • TABLE 110 MANUFACTURING: MARKET, BY REGION, 2025–2032 (USD MILLION)
  • TABLE 111 OTHER ENTERPRISES: MARKET, BY REGION, 2022–2024 (USD MILLION)
  • TABLE 112 OTHER ENTERPRISES: AGENTIC AI MARKET, BY REGION, 2025–2032 (USD MILLION)
  • TABLE 113 MARKET, BY REGION, 2022–2024 (USD MILLION)
  • TABLE 114 MARKET, BY REGION, 2025–2032 (USD MILLION)
  • TABLE 115 NORTH AMERICA: MARKET, BY OFFERING, 2022–2024 (USD MILLION)
  • TABLE 116 NORTH AMERICA: MARKET, BY OFFERING, 2025–2032 (USD MILLION)
  • TABLE 117 NORTH AMERICA: MARKET, BY USE CASE, 2022–2024 (USD MILLION)
  • TABLE 118 NORTH AMERICA: AGENTIC AI MARKET, BY USE CASE, 2025–2032 (USD MILLION)
  • TABLE 119 NORTH AMERICA: MARKET, BY HORIZONTAL USE CASE, 2022–2024 (USD MILLION)
  • TABLE 120 NORTH AMERICA: MARKET, BY HORIZONTAL USE CASE, 2025–2032 (USD MILLION)
  • TABLE 121 NORTH AMERICA: MARKET, BY END USER, 2022–2024 (USD MILLION)
  • TABLE 122 NORTH AMERICA: MARKET, BY END USER, 2025–2032 (USD MILLION)
  • TABLE 123 NORTH AMERICA: MARKET, BY ENTERPRISE, 2022–2024 (USD MILLION)
  • TABLE 124 NORTH AMERICA: MARKET, BY ENTERPRISE, 2025–2032 (USD MILLION)
  • TABLE 125 NORTH AMERICA: MARKET, BY COUNTRY, 2022–2024 (USD MILLION)
  • TABLE 126 NORTH AMERICA: MARKET, BY COUNTRY, 2025–2032 (USD MILLION)
  • TABLE 127 US: MARKET, BY OFFERING, 2022–2024 (USD MILLION)
  • TABLE 128 US: MARKET, BY OFFERING, 2025–2032 (USD MILLION)
  • TABLE 129 CANADA: AGENTIC AI MARKET, BY OFFERING, 2022–2024 (USD MILLION)
  • TABLE 130 CANADA: MARKET, BY OFFERING, 2025–2032 (USD MILLION)
  • TABLE 131 EUROPE: MARKET, BY OFFERING, 2022–2024 (USD MILLION)
  • TABLE 132 EUROPE: MARKET, BY OFFERING, 2025–2032 (USD MILLION)
  • TABLE 133 EUROPE: MARKET, BY USE CASE, 2022–2024 (USD MILLION)
  • TABLE 134 EUROPE: MARKET, BY USE CASE, 2025–2032 (USD MILLION)
  • TABLE 135 EUROPE: MARKET, BY HORIZONTAL USE CASE, 2022–2024 (USD MILLION)
  • TABLE 136 EUROPE: MARKET, BY HORIZONTAL USE CASE, 2025–2032 (USD MILLION)
  • TABLE 137 EUROPE: MARKET, BY END USER, 2022–2024 (USD MILLION)
  • TABLE 138 EUROPE: AGENTIC AI MARKET, BY END USER, 2025–2032 (USD MILLION)
  • TABLE 139 EUROPE: MARKET, BY ENTERPRISE, 2022–2024 (USD MILLION)
  • TABLE 140 EUROPE: MARKET, BY ENTERPRISE, 2025–2032 (USD MILLION)
  • TABLE 141 EUROPE: MARKET, BY COUNTRY, 2022–2024 (USD MILLION)
  • TABLE 142 EUROPE: MARKET, BY COUNTRY, 2025–2032 (USD MILLION)
  • TABLE 143 UK: MARKET, BY OFFERING, 2022–2024 (USD MILLION)
  • TABLE 144 UK: MARKET, BY OFFERING, 2025–2032 (USD MILLION)
  • TABLE 145 GERMANY: MARKET, BY OFFERING, 2022–2024 (USD MILLION)
  • TABLE 146 GERMANY: MARKET, BY OFFERING, 2025–2032 (USD MILLION)
  • TABLE 147 FRANCE: MARKET, BY OFFERING, 2022–2024 (USD MILLION)
  • TABLE 148 FRANCE: MARKET, BY OFFERING, 2025–2032 (USD MILLION)
  • TABLE 149 ITALY: MARKET, BY OFFERING, 2022–2024 (USD MILLION)
  • TABLE 150 ITALY: MARKET, BY OFFERING, 2025–2032 (USD MILLION)
  • TABLE 151 SPAIN: MARKET, BY OFFERING, 2022–2024 (USD MILLION)
  • TABLE 152 SPAIN: AGENTIC AI MARKET, BY OFFERING, 2025–2032 (USD MILLION)
  • TABLE 153 NETHERLANDS: MARKET, BY OFFERING, 2022–2024 (USD MILLION)
  • TABLE 154 NETHERLANDS: MARKET, BY OFFERING, 2025–2032 (USD MILLION)
  • TABLE 155 REST OF EUROPE: MARKET, BY OFFERING, 2022–2024 (USD MILLION)
  • TABLE 156 REST OF EUROPE: MARKET, BY OFFERING, 2025–2032 (USD MILLION)
  • TABLE 157 ASIA PACIFIC: MARKET, BY OFFERING, 2022–2024 (USD MILLION)
  • TABLE 158 ASIA PACIFIC: MARKET, BY OFFERING, 2025–2032 (USD MILLION)
  • TABLE 159 ASIA PACIFIC: MARKET, BY USE CASE, 2022–2024 (USD MILLION)
  • TABLE 160 ASIA PACIFIC: MARKET, BY USE CASE, 2025–2032 (USD MILLION)
  • TABLE 161 ASIA PACIFIC: MARKET, BY HORIZONTAL USE CASE, 2022–2024 (USD MILLION)
  • TABLE 162 ASIA PACIFIC: MARKET, BY HORIZONTAL USE CASE, 2025–2032 (USD MILLION)
  • TABLE 163 ASIA PACIFIC: AGENTIC AI MARKET, BY END USER, 2022–2024 (USD MILLION)
  • TABLE 164 ASIA PACIFIC: MARKET, BY END USER, 2025–2032 (USD MILLION)
  • TABLE 165 ASIA PACIFIC: MARKET, BY ENTERPRISE, 2022–2024 (USD MILLION)
  • TABLE 166 ASIA PACIFIC: MARKET, BY ENTERPRISE, 2025–2032 (USD MILLION)
  • TABLE 167 ASIA PACIFIC: MARKET, BY COUNTRY, 2022–2024 (USD MILLION)
  • TABLE 168 ASIA PACIFIC: MARKET, BY COUNTRY, 2025–2032 (USD MILLION)
  • TABLE 169 CHINA: MARKET, BY OFFERING, 2022–2024 (USD MILLION)
  • TABLE 170 CHINA: MARKET, BY OFFERING, 2025–2032 (USD MILLION)
  • TABLE 171 INDIA: MARKET, BY OFFERING, 2022–2024 (USD MILLION)
  • TABLE 172 INDIA: MARKET, BY OFFERING, 2025–2032 (USD MILLION)
  • TABLE 173 JAPAN: AGENTIC AI MARKET, BY OFFERING, 2022–2024 (USD MILLION)
  • TABLE 174 JAPAN: MARKET, BY OFFERING, 2025–2032 (USD MILLION)
  • TABLE 175 SOUTH KOREA: MARKET, BY OFFERING, 2022–2024 (USD MILLION)
  • TABLE 176 SOUTH KOREA: MARKET, BY OFFERING, 2025–2032 (USD MILLION)
  • TABLE 177 SINGAPORE: MARKET, BY OFFERING, 2022–2024 (USD MILLION)
  • TABLE 178 SINGAPORE: MARKET, BY OFFERING, 2025–2032 (USD MILLION)
  • TABLE 179 AUSTRALIA & NEW ZEALAND: MARKET, BY OFFERING, 2022–2024 (USD MILLION)
  • TABLE 180 AUSTRALIA & NEW ZEALAND: MARKET, BY OFFERING, 2025–2032 (USD MILLION)
  • TABLE 181 REST OF ASIA PACIFIC: MARKET, BY OFFERING, 2022–2024 (USD MILLION)
  • TABLE 182 REST OF ASIA PACIFIC: MARKET, BY OFFERING, 2025–2032 (USD MILLION)
  • TABLE 183 MIDDLE EAST & AFRICA: AGENTIC AI MARKET, BY OFFERING, 2022–2024 (USD MILLION)
  • TABLE 184 MIDDLE EAST & AFRICA: MARKET, BY OFFERING, 2025–2032 (USD MILLION)
  • TABLE 185 MIDDLE EAST & AFRICA: MARKET, BY USE CASE, 2022–2024 (USD MILLION)
  • TABLE 186 MIDDLE EAST & AFRICA: MARKET, BY USE CASE, 2025–2032 (USD MILLION)
  • TABLE 187 MIDDLE EAST & AFRICA: MARKET, BY HORIZONTAL USE CASE, 2022–2024 (USD MILLION)
  • TABLE 188 MIDDLE EAST & AFRICA: MARKET, BY HORIZONTAL USE CASE, 2025–2032 (USD MILLION)
  • TABLE 189 MIDDLE EAST & AFRICA: MARKET, BY END USER, 2022–2024 (USD MILLION)
  • TABLE 190 MIDDLE EAST & AFRICA: MARKET, BY END USER, 2025–2032 (USD MILLION)
  • TABLE 191 MIDDLE EAST & AFRICA: MARKET, BY ENTERPRISE, 2022–2024 (USD MILLION)
  • TABLE 192 MIDDLE EAST & AFRICA: MARKET, BY ENTERPRISE, 2025–2032 (USD MILLION)
  • TABLE 193 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2022–2024 (USD MILLION)
  • TABLE 194 MIDDLE EAST & AFRICA: MARKET, BY COUNTRY, 2025–2032 (USD MILLION)
  • TABLE 195 SAUDI ARABIA: AGENTIC AI MARKET, BY OFFERING, 2022–2024 (USD MILLION)
  • TABLE 196 SAUDI ARABIA: MARKET, BY OFFERING, 2025–2032 (USD MILLION)
  • TABLE 197 UAE: MARKET, BY OFFERING, 2022–2024 (USD MILLION)
  • TABLE 198 UAE: MARKET, BY OFFERING, 2025–2032 (USD MILLION)
  • TABLE 199 QATAR: MARKET, BY OFFERING, 2022–2024 (USD MILLION)
  • TABLE 200 QATAR: MARKET, BY OFFERING, 2025–2032 (USD MILLION)
  • TABLE 201 TURKEY: MARKET, BY OFFERING, 2022–2024 (USD MILLION)
  • TABLE 202 TURKEY: MARKET, BY OFFERING, 2025–2032 (USD MILLION)
  • TABLE 203 REST OF MIDDLE EAST: MARKET, BY OFFERING, 2022–2024 (USD MILLION)
  • TABLE 204 REST OF MIDDLE EAST: MARKET, BY OFFERING, 2025–2032 (USD MILLION)
  • TABLE 205 SOUTH AFRICA: AGENTIC AI MARKET, BY OFFERING, 2022–2024 (USD MILLION)
  • TABLE 206 SOUTH AFRICA: MARKET, BY OFFERING, 2025–2032 (USD MILLION)
  • TABLE 207 LATIN AMERICA: MARKET, BY OFFERING, 2022–2024 (USD MILLION)
  • TABLE 208 LATIN AMERICA: MARKET, BY OFFERING, 2025–2032 (USD MILLION)
  • TABLE 209 LATIN AMERICA: MARKET, BY USE CASE, 2022–2024 (USD MILLION)
  • TABLE 210 LATIN AMERICA: MARKET, BY USE CASE, 2025–2032 (USD MILLION)
  • TABLE 211 LATIN AMERICA: MARKET, BY HORIZONTAL USE CASE, 2022–2024 (USD MILLION)
  • TABLE 212 LATIN AMERICA: MARKET, BY HORIZONTAL USE CASE, 2025–2032 (USD MILLION)
  • TABLE 213 LATIN AMERICA: MARKET, BY END USER, 2022–2024 (USD MILLION)
  • TABLE 214 LATIN AMERICA: MARKET, BY END USER, 2025–2032 (USD MILLION)
  • TABLE 215 LATIN AMERICA: MARKET, BY ENTERPRISE, 2022–2024 (USD MILLION)
  • TABLE 216 LATIN AMERICA: MARKET, BY ENTERPRISE, 2025–2032 (USD MILLION)
  • TABLE 217 LATIN AMERICA: AGENTIC AI MARKET, BY COUNTRY, 2022–2024 (USD MILLION)
  • TABLE 218 LATIN AMERICA: MARKET, BY COUNTRY, 2025–2032 (USD MILLION)
  • TABLE 219 BRAZIL: MARKET, BY OFFERING, 2022–2024 (USD MILLION)
  • TABLE 220 BRAZIL: MARKET, BY OFFERING, 2025–2032 (USD MILLION)
  • TABLE 221 MEXICO: MARKET, BY OFFERING, 2022–2024 (USD MILLION)
  • TABLE 222 MEXICO: MARKET, BY OFFERING, 2025–2032 (USD MILLION)
  • TABLE 223 ARGENTINA: MARKET, BY OFFERING, 2022–2024 (USD MILLION)
  • TABLE 224 ARGENTINA: MARKET, BY OFFERING, 2025–2032 (USD MILLION)
  • TABLE 225 REST OF LATIN AMERICA: MARKET, BY OFFERING, 2022–2024 (USD MILLION)
  • TABLE 226 REST OF LATIN AMERICA: AGENTIC AI MARKET, BY OFFERING, 2025–2032 (USD MILLION)
  • TABLE 227 OVERVIEW OF STRATEGIES ADOPTED BY KEY AGENTIC AI VENDORS, 2022 - 2025
  • TABLE 228 MARKET: DEGREE OF COMPETITION
  • TABLE 229 OFFERING FOOTPRINT (05 COMPANIES), 2024
  • TABLE 230 REGION FOOTPRINT (05 COMPANIES), 2024
  • TABLE 231 HORIZONTAL USE CASE FOOTPRINT (05 COMPANIES), 2024
  • TABLE 232 END USER FOOTPRINT (05 COMPANIES), 2024
  • TABLE 233 OFFERING FOOTPRINT (10 COMPANIES), 2024
  • TABLE 234 REGION FOOTPRINT (10 COMPANIES), 2024
  • TABLE 235 HORIZONTAL USE CASE FOOTPRINT (10 COMPANIES), 2024
  • TABLE 236 END USER FOOTPRINT (10 COMPANIES), 2024
  • TABLE 237 OFFERING FOOTPRINT (14 COMPANIES), 2024
  • TABLE 238 REGION FOOTPRINT (14 COMPANIES), 2024
  • TABLE 239 HORIZONTAL USE CASE FOOTPRINT (14 COMPANIES), 2024
  • TABLE 240 END USER FOOTPRINT (14 COMPANIES), 2024
  • TABLE 241 OFFERING FOOTPRINT (18 COMPANIES), 2024
  • TABLE 242 REGION FOOTPRINT (18 COMPANIES), 2024
  • TABLE 243 HORIZONTAL USE CASE FOOTPRINT (18 COMPANIES), 2024
  • TABLE 244 END USER FOOTPRINT (18 COMPANIES), 2024
  • TABLE 245 MARKET: PRODUCT LAUNCHES & ENHANCEMENTS, JANUARY 2022–JULY 2025
  • TABLE 246 MARKET: DEALS, JANUARY 2021–JULY 2025
  • TABLE 247 MICROSOFT: COMPANY OVERVIEW
  • TABLE 248 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 249 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 250 MICROSOFT: DEALS
  • TABLE 251 NVIDIA: COMPANY OVERVIEW
  • TABLE 252 NVIDIA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 253 NVIDIA: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 254 NVIDIA: DEALS
  • TABLE 255 GOOGLE: COMPANY OVERVIEW
  • TABLE 256 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 257 GOOGLE: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 258 GOOGLE: DEALS
  • TABLE 259 OPENAI: COMPANY OVERVIEW
  • TABLE 260 OPENAI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 261 OPENAI: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 262 OPENAI: DEALS
  • TABLE 263 ACCENTURE: COMPANY OVERVIEW
  • TABLE 264 ACCENTURE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 265 ACCENTURE: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 266 ACCENTURE: DEALS
  • TABLE 267 COGNIZANT: COMPANY OVERVIEW
  • TABLE 268 COGNIZANT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 269 COGNIZANT: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 270 COGNIZANT: DEALS
  • TABLE 271 CAPGEMINI: COMPANY OVERVIEW
  • TABLE 272 CAPGEMINI: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 273 CAPGEMINI: DEALS
  • TABLE 274 SAP: COMPANY OVERVIEW
  • TABLE 275 SAP: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 276 SAP: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 277 SAP: DEALS
  • TABLE 278 IBM: COMPANY OVERVIEW
  • TABLE 279 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 280 IBM: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 281 IBM: DEALS
  • TABLE 282 SALESFORCE: COMPANY OVERVIEW
  • TABLE 283 SALESFORCE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 284 SALESFORCE: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 285 AI AGENTS MARKET, BY OFFERING, 2020–2024 (USD MILLION)
  • TABLE 286 AI AGENTS MARKET, BY OFFERING, 2025–2030 (USD MILLION)
  • TABLE 287 AI AGENTS MARKET, BY AGENT SYSTEM, 2020–2024 (USD MILLION)
  • TABLE 288 AI AGENTS MARKET, BY AGENT SYSTEM, 2025–2030 (USD MILLION)
  • TABLE 289 AI AGENTS MARKET, BY PRODUCT TYPE, 2020–2024 (USD MILLION)
  • TABLE 290 AI AGENTS MARKET, BY PRODUCT TYPE, 2025–2030 (USD MILLION)
  • TABLE 291 AI AGENTS MARKET, BY AGENT ROLE, 2020–2024 (USD MILLION)
  • TABLE 292 AI AGENTS MARKET, BY AGENT ROLE, 2025–2030 (USD MILLION)
  • TABLE 293 AI AGENTS MARKET, BY END USER, 2020–2024 (USD MILLION)
  • TABLE 294 AI AGENTS MARKET, BY END USER, 2025–2030 (USD MILLION)
  • TABLE 295 AI AGENTS MARKET, BY REGION, 2020–2024 (USD MILLION)
  • TABLE 296 AI AGENTS MARKET, BY REGION, 2025–2030 (USD MILLION)
  • TABLE 297 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2020–2024 (USD BILLION)
  • TABLE 298 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2025–2032 (USD BILLION)
  • TABLE 299 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2020–2024 (USD BILLION)
  • TABLE 300 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2025–2032 (USD BILLION)
  • TABLE 301 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2020–2024 (USD BILLION)
  • TABLE 302 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2025–2032 (USD BILLION)
  • TABLE 303 ARTIFICIAL INTELLIGENCE MARKET, BY ENTERPRISE APPLICATION, 2020–2024 (USD BILLION)
  • TABLE 304 ARTIFICIAL INTELLIGENCE MARKET, BY ENTERPRISE APPLICATION, 2025–2032 (USD BILLION)
  • TABLE 305 ARTIFICIAL INTELLIGENCE MARKET, BY END USER, 2020–2024 (USD BILLION)
  • TABLE 306 ARTIFICIAL INTELLIGENCE MARKET, BY END USER, 2025–2032 (USD BILLION)
  • TABLE 307 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2020–2024 (USD BILLION)
  • TABLE 308 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2025–2032 (USD BILLION)
LIST OF FIGURES
 
  • FIGURE 1 MARKET: RESEARCH DESIGN
  • FIGURE 2 DATA TRIANGULATION
  • FIGURE 3 AGENTIC AI MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
  • FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1, BOTTOM-UP (SUPPLY-SIDE): REVENUE FROM SOFTWARE & SERVICES OF AGENTIC AI MARKET
  • FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 2, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOFTWARE & SERVICES OF MARKET
  • FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 3, BOTTOM-UP (SUPPLY-SIDE): COLLECTIVE REVENUE FROM ALL SOFTWARE & SERVICES OF MARKET
  • FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 4, BOTTOM-UP (DEMAND-SIDE): SHARE OF AGENTIC AI THROUGH OVERALL ARTIFICIAL INTELLIGENCE SPENDING
  • FIGURE 8 AGENTIC AI INFRASTRUCTURE TO ACCOUNT FOR LARGEST MARKET SIZE IN 2025
  • FIGURE 9 HORIZONTAL USE CASE TO ACCOUNT FOR MAJORITY MARKET SHARE IN 2025
  • FIGURE 10 DATA ANALYTICS & BI SLATED TO BECOME LEADING USE CASE IN 2025
  • FIGURE 11 BY END USER, ENTERPRISES TO BECOME LEADING SEGMENT IN 2025
  • FIGURE 12 BY ENTERPRISE, PROFESSIONAL SERVICE PROVIDERS TO REGISTER HIGHEST GROWTH RATE DURING FORECAST PERIOD
  • FIGURE 13 ASIA PACIFIC TO REGISTER FASTEST GROWTH BETWEEN 2025 AND 2032
  • FIGURE 14 DEMAND FOR ADAPTIVE, GOAL-DRIVEN AUTOMATION ACROSS WORKFLOWS EXPECTED TO DRIVE MARKET GROWTH
  • FIGURE 15 WORKPLACE EXPERIENCE TO ACCOUNT FOR HIGHEST GROWTH RATE DURING FORECAST PERIOD
  • FIGURE 16 AGENTIC AI INFRASTRUCTURE AND DATA ANALYTICS & BI TO BE LARGEST SHAREHOLDERS IN NORTH AMERICA IN 2025
  • FIGURE 17 NORTH AMERICA TO HOLD LARGEST MARKET SHARE IN 2025
  • FIGURE 18 AGENTIC AI MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
  • FIGURE 19 EVOLUTION OF AGENTIC AI
  • FIGURE 20 MARKET: SUPPLY CHAIN ANALYSIS
  • FIGURE 21 MARKET: ECOSYSTEM ANALYSIS
  • FIGURE 22 LEADING AI STARTUPS, BY FUNDING VALUE (MILLION) AND FUNDING ROUND, UNTIL 2025
  • FIGURE 23 PATENTS APPLIED AND GRANTED, 2016–2025
  • FIGURE 24 REGIONAL ANALYSIS OF PATENTS GRANTED, 2016–2025
  • FIGURE 25 AGENTIC AI MARKET: PORTER’S FIVE FORCES ANALYSIS
  • FIGURE 26 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE ENTERPRISE END USERS
  • FIGURE 27 KEY BUYING CRITERIA FOR TOP THREE ENTERPRISE END USERS
  • FIGURE 28 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • FIGURE 29 AGENTIC AI SAAS TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 30 WORKPLACE EXPERIENCE SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 31 VERTICAL USE CASE SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 32 PROFESSIONAL SERVICE PROVIDERS TO BECOME LARGEST SEGMENT IN 2032
  • FIGURE 33 ASIA PACIFIC TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 34 INDIA TO REGISTER HIGHEST GROWTH RATE IN MARKET DURING FORECAST PERIOD
  • FIGURE 35 NORTH AMERICA: MARKET SNAPSHOT
  • FIGURE 36 ASIA PACIFIC: AGENTIC AI MARKET SNAPSHOT
  • FIGURE 37 TOP PLAYERS HAVE DOMINATED THE MARKET OVER THE LAST THREE YEARS
  • FIGURE 38 SHARE OF LEADING COMPANIES IN MARKET, 2024
  • FIGURE 39 PRODUCT COMPARATIVE ANALYSIS: AGENTIC AI INFRASTRUCTURE PROVIDERS
  • FIGURE 40 PRODUCT COMPARATIVE ANALYSIS: AGENTIC AI PLATFORM PROVIDERS
  • FIGURE 41 PRODUCT COMPARATIVE ANALYSIS: AGENTIC AI SAAS PROVIDERS
  • FIGURE 42 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS
  • FIGURE 43 YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND 5-YEAR STOCK BETA OF KEY VENDORS
  • FIGURE 44 MARKET: COMPANY EVALUATION MATRIX (AGENTIC AI INFRASTRUCTURE VENDORS), 2024
  • FIGURE 45 OVERALL COMPANY FOOTPRINT (05 COMPANIES), 2024
  • FIGURE 46 AGENTIC AI MARKET: COMPANY EVALUATION MATRIX (AGENTIC AI PLATFORM VENDORS), 2024
  • FIGURE 47 OVERALL COMPANY FOOTPRINT (10 COMPANIES), 2024
  • FIGURE 48 MARKET: COMPANY EVALUATION MATRIX (AGENTIC AI SAAS VENDORS), 2024
  • FIGURE 49 OVERALL COMPANY FOOTPRINT (14 COMPANIES), 2024
  • FIGURE 50 MARKET: COMPANY EVALUATION MATRIX (AGENTIC AI SERVICE PROVIDERS), 2024
  • FIGURE 51 OVERALL COMPANY FOOTPRINT (18 COMPANIES), 2024
  • FIGURE 52 MICROSOFT: COMPANY SNAPSHOT
  • FIGURE 53 NVIDIA: COMPANY SNAPSHOT
  • FIGURE 54 GOOGLE: COMPANY SNAPSHOT
  • FIGURE 55 ACCENTURE: COMPANY SNAPSHOT
  • FIGURE 56 COGNIZANT: COMPANY SNAPSHOT
  • FIGURE 57 CAPGEMINI: COMPANY SNAPSHOT
  • FIGURE 58 SAP: COMPANY SNAPSHOT
  • FIGURE 59 IBM: COMPANY SNAPSHOT
  • FIGURE 60 SALESFORCE: COMPANY SNAPSHOT

 

The research methodology for the global agentic AI market report involved the use of extensive secondary sources and directories, as well as various reputed open-source databases, to identify and collect information useful for this technical and market-oriented study. In-depth interviews were conducted with various primary respondents, including agentic AI SaaS providers, agentic AI platform providers, agentic AI service providers, agentic AI infrastructure providers, individual end users, and enterprise end users; high-level executives of multiple companies offering agentic AI solutions; and industry consultants to obtain and verify critical qualitative and quantitative information and assess the market prospects and industry trends.

Secondary Research

In the secondary research process, various secondary sources were referred to for identifying and collecting information for the study. The secondary sources included annual reports; press releases and investor presentations of companies; white papers, certified publications such as Journal of Artificial Intelligence Research (JAIR), Transactions of the Association for Computational Linguistics (TACL), Journal of Machine Learning Research (JMLR), IEEE Transactions on Neural Networks and Learning Systems, Nature Machine Intelligence, Artificial Intelligence Journal (AIJ), ACM Transactions on Information Systems (TOIS), Pattern Recognition Journal, and Neural Computation (MIT Press); and articles from recognized associations and government publishing sources including but not limited to Association for Computational Linguistics (ACL), International Association for Machine Learning (IAMLE), Artificial Intelligence Industry Association (AIIA), International Speech Communication Association (ISCA), Natural Language Processing Association (NLPA), Machine Learning and AI Industry Research Association (MLAIRA), and AI Infrastructure Alliance (AIIA).

The secondary research was used to obtain key information about the industry’s value chain, the market’s monetary chain, the overall pool of key players, market classification and segmentation according to industry trends to the bottom-most level, regional markets, and key developments from the market and technology-oriented perspectives.

Primary Research

In the primary research process, a diverse range of stakeholders from both the supply and demand sides of the agentic AI ecosystem were interviewed to gather qualitative and quantitative insights specific to this market. From the supply side, key industry experts, such as chief executive officers (CEOs), vice presidents (VPs), marketing directors, technology & innovation directors, as well as technical leads from vendors offering agentic AI software & services, were consulted. Additionally, system integrators, service providers, and IT service firms that implement and support agentic AI were included in the study. On the demand side, input from IT decision-makers, infrastructure managers, and business heads of prominent enterprise end users was collected to understand the user perspectives and adoption challenges within targeted industries.

The primary research ensured that all crucial parameters affecting the agentic AI market—from technological advancements and evolving use cases (workflow automation, inspection & monitoring, navigation & mobility, planning & decision support, etc.) to regulatory and compliance needs (GDPR, CCPA, Europe AI Act, AIDA, etc.) were considered. Each factor was thoroughly analyzed, verified through primary research, and evaluated to obtain precise quantitative and qualitative data for this market.

Once the initial phase of market engineering was completed, including detailed calculations for market statistics, segment-specific growth forecasts, and data triangulation, an additional round of primary research was undertaken. This step was crucial for refining and validating critical data points, such as agentic AI offerings (software & services), industry adoption trends, the competitive landscape, and key market dynamics like demand drivers (Increasing enterprise need for hyper-automation to streamline workflows end-to-end, breakthroughs in LLMs, memory, and orchestration frameworks enable autonomous multi-step task execution, widespread access to high-performance computing and scalable AI deployment environments, growing maturity of digital twins with agentic orchestration for real-world simulation), challenges (fragmented autonomy stacks and missing interoperability standards restrict system integration, legal and ethical gaps around autonomous actions are delaying adoption in regulated sectors), and opportunities (New orchestration engines for multiple autonomous agents working collaboratively, scaling autonomous agents across BFSI, telecom, and manufacturing for digital transformation, emerging AI regulations are unlocking new markets for complaint autonomy).

In the complete market engineering process, the top-down and bottom-up approaches and several data triangulation methods were extensively used to perform the market estimation and market forecast for the overall market segments and subsegments listed in this report. Extensive qualitative and quantitative analysis was performed on the complete market engineering process to record the critical information/insights throughout the report.

Agentic AI Market Size, and Share

Note: Three tiers of companies are defined based on their total revenue as of 2024; tier 1 = revenue more than
USD 500 million, tier 2 = revenue between USD 500 million and 100 million, tier 3 = revenue less than USD 100 million
Source: MarketsandMarkets Analysis

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

To estimate and forecast the agentic AI market and its dependent submarkets, both top-down and bottom-up approaches were employed. This multi-layered analysis was further reinforced through data triangulation, incorporating both primary and secondary research inputs. The market figures were also validated against the existing MarketsandMarkets repository for accuracy. The following research methodology has been used to estimate the market size:

Agentic AI Market : Top-Down and Bottom-Up Approach

Agentic AI Market Top Down and Bottom Up Approach

Data Triangulation

After arriving at the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation and market breakup procedures were employed, wherever applicable. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.

Market Definition

Agentic AI represents autonomous AI systems that operate independently, pursue specific goals, interact with environments, learn continuously, optimize workflows, and coordinate with multiple agents without constant human supervision. Defining features of agentic AI include:

  • Autonomy - Operates independently without requiring constant human supervision
  • Goal-oriented - Pursue specific objectives and optimize toward desired outcomes
  • Environment Interaction - Actively perceives and responds to changes
  • Learning Capability - Incorporates machine learning to improve performance
  • Workflow Optimization - Enhances processes through real-time decision making
  • Multi-agent Coordination - Enables seamless collaboration between multiple AI agents

Stakeholders

  • Agentic AI platform providers
  • Agentic AI infrastructure providers
  • Agentic AI service providers
  • Agentic AI SaaS providers
  • AI training dataset providers
  • LLM providers
  • Cloud service providers
  • Enterprise end users
  • Distributors and Value-added Resellers (VARs)
  • Government agencies
  • Independent Software Vendors (ISVs)
  • Managed service providers
  • Market research and consulting firms
  • Support & maintenance service providers
  • System Integrators (SIs)/Migration service providers
  • Technology providers
  • Business analysts
  • Academia & research institutions
  • Investors & venture capital firms

Report Objectives

  • To define, describe, and forecast the agentic AI market, by offering, horizontal use case, vertical use case, and end user
  • To provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing market growth
  • To analyze the micro markets with respect to individual growth trends, prospects, and their contribution to the total market
  • To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the agentic AI market
  • To analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders
  • To forecast the market size of segments for five main regions: North America, Europe, Asia Pacific, the Middle East & Africa, and Latin America
  • To profile the key players and comprehensively analyze their market ranking and core competencies
  • To analyze competitive developments, such as partnerships, product launches, mergers, and acquisitions, in the agentic AI market
  • To analyze the impact of the recession on the agentic AI market across all regions

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:

Product Analysis

  • Product matrix provides a detailed comparison of the product portfolio of each company

Geographic Analysis as per Feasibility

  • Further breakup of the North American market for agentic AI
  • Further breakup of the European market for agentic AI
  • Further breakup of the Asia Pacific market for agentic AI
  • Further breakup of the Middle East & African market for agentic AI
  • Further breakup of the Latin American market for agentic AI

Company Information

  • Detailed analysis and profiling of additional market players (up to five)

Previous Versions of this Report

Agentic AI Market by Software (Computational Agents, Robotic Agents), Agent Role (Marketing, Sales, Operations & Supply Chain, ITSM), Application (Workflow Automation, Planning & Decision Support, Navigation & Mobility) - Global Forecast to 2032

Report Code TC 8694
Published in Jun, 2023, By MarketsandMarkets™
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