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Global Agentic AI Market (2025-30)

Publisher Velox Consultants
Published Dec 03, 2025
Length 229 Pages
SKU # VEL20630967

Description

GLOBAL AGENTIC AI MARKET

The Global Agentic AI Market represents the next major evolution in artificial intelligence—moving beyond traditional automation and generative AI toward autonomous, reasoning-based decision-making through multi-agent orchestration. Agentic AI enables software agents that can understand complex workflows, independently plan and execute tasks, collaborate with other agents, learn from real-time context, and deliver measurable business outcomes with minimal human intervention. As organizations accelerate digital transformation and seek intelligent automation to address cost, skill, and productivity challenges, Agentic AI is becoming a foundational layer across sectors such as BFSI, healthcare, retail, manufacturing, IT & telecom, logistics, and public services.

MARKET TO GROW AT A CAGR OF 44.6% BY 2030

The Global Agentic AI Market is forecast to grow rapidly from $7.7 billion in 2025 to $48.4 billion by 2030, at an impressive CAGR of 44.6%. This growth is being driven by increasing enterprise adoption of autonomous decisioning systems, multi-agent orchestration frameworks, reasoning engines, and domain-specific agent ecosystems. Asia-Pacific is the fastest-growing and largest emerging region, supported by large-scale national AI missions and industrial automation investments, while North America leads in platform innovation and R&D leadership. Europe is strengthening adoption through responsible AI frameworks and sustainability-driven modernization, and Latin America and the Middle East & Africa are emerging as high-growth opportunity markets.

SEGMENTS LEADING GROWTH

Software-led segments—particularly Agentic AI SaaS, platforms, and orchestration infrastructure—represent the largest market category, driven by demand for scalable deployment, real-time intelligence, and enterprise-level reliability. Meanwhile, Agentic AI Services is the fastest-growing segment as organizations seek consulting and managed service expertise to integrate agents into complex business environments. Among agent system types, multi-agent architectures are gaining traction due to their ability to coordinate interconnected workflows at scale.

WHAT DO INDUSTRY LEADERS SAY?

Insights gathered from technology executives, AI researchers, and enterprise transformation leaders emphasize that Agentic AI will become the operational backbone of intelligent enterprises, enabling process autonomy, faster decision cycles, and self-optimizing business environments:
  • Agentic AI will redefine enterprise automation by enabling coordinated multi-agent systems capable of handling interdependent, real-time operations.
  • Enterprise demand is shifting toward fully autonomous AI assistants that move from insights to action, improving productivity and reducing repetitive workloads.
  • Vertical-specific agent strategies are critical for scaling adoption, from healthcare triage and financial risk automation to supply chain orchestration and smart city management.
KEY DRIVERS OF MARKET GROWTH
  • Rising demand for autonomous decision-making and workflow automation
  • Growing need for productivity improvement, cost efficiency, and operational resilience
  • Expansion of industry-specific AI use cases across mission-critical sectors
  • Rapid development in reasoning engines, memory frameworks, secure orchestration, and LLM-based intelligence
  • Government-led digital transformation, national AI policies, and ecosystem investments
KEY RESTRAINTS & CHALLENGES
  • Security, governance, and explainability concerns around autonomous agents
  • Integration complexity with legacy enterprise systems and fragmented data environments
  • Shortage of skilled AI + orchestration engineering talent
  • Regulatory and ethical considerations, especially in high-risk sectors
HOW CAN COMPANIES ACHIEVE STRATEGIC GROWTH?

The report introduces the Velox Ascent Matrix, a strategic framework helping organizations prioritize growth paths across four competitive positions—Market Titans, Pioneers of Disruption, Legacy Protectors, and Market Accelerators. Recommended pathways include:
  • Building full-stack agentic AI infrastructure and orchestration layers
  • Developing industry-specific vertical agent ecosystems and domain intelligence
  • Strengthening Responsible & Explainable AI foundations
  • Investing in R&D, capability infrastructure, and ecosystem partnerships
  • Deploying modular adoption models to accelerate enterprise-scale implementation
CONCLUSION

The Global Agentic AI Market is positioned to become a cornerstone of future enterprise automation, enabling organizations to shift from task execution to full autonomous decision intelligence. Despite challenges related to security, governance, and integration, the market outlook remains highly optimistic. Companies that invest early, scale responsibly, and deploy vertically aligned agent ecosystems will gain a significant competitive advantage in the next phase of intelligent enterprise evolution.

WHY BUY THIS REPORT?
  • Comprehensive insights on the global Agentic AI market outlook through 2030
  • Strategic frameworks for market entry, expansion, and innovation leadership
  • Evaluation of competitive dynamics & growth opportunities across regions and industries
  • Actionable recommendations for platform developers, enterprises, and investors
  • Expert-driven perspectives on the future of autonomous AI adoption

Table of Contents

229 Pages
1. INTRODUCTION
1.1 MARKET DEFINITION
1.2 OBJECTIVES AND SCOPE
1.2.1 Objectives
1.2.2 Market Scope
1.2.3 Regional Scope
2. EXECUTIVE SUMMARY
3. MARKET OVERVIEW
3.1 MARKET DYNAMICS
3.2 TECHNOLOGY LANDSCAPE
3.3 VALUE CHAIN ANALYSIS
3.4 PATENT ANALYSIS
3.5 KEY CASE STUDIES
4. GLOBAL AGENTIC AI MARKET SIZING & FORECASTING
4.1 INTRODUCTION
4.2 GLOBAL AGENTIC AI MARKET BY COMPONENT
4.2.1 Agentic AI Infrastructure
4.2.2 Autonomous Agent Frameworks
4.2.3 Data & Knowledge Management Components
4.2.4 Agent Development Tools
4.2.5 Security, Governance & Compliance Layers
4.3 GLOBAL AGENTIC AI MARKET BY OFFERING MODEL
4.3.1 Agentic AI SaaS
4.3.2 Agentic AI Platforms
4.3.3 Agentic AI Services
4.2.4 Agentic AI Middleware
4.4 GLOBAL AGENTIC AI MARKET BY AGENT SYSTEM
4.4.1 Single-Agent System
4.4.2 Multi-Agent System
4.5 GLOBAL AGENTIC AI MARKET BY AGENT FUNCTION
4.5.1 Workflow & Operations Automation
4.5.2 Software Development
4.5.3 Planning, Decision Support & Analytics
4.5.4 Customer Experience & Support
4.4.5 Sales & Marketing Automation
4.5.6 IT Service Management
4.5.7 Navigation & Mobility
4.5.8 Other Functions
4.6 GLOBAL AGENTIC AI MARKET BY INDUSTRY
4.6.1 IT & Telecom
4.6.2 Manufacturing & Industrial Automation
4.6.3 BFSI
4.6.4 Healthcare & Life Sciences
4.6.5 Retail, CPG & eCommerce
4.6.6 Logistics & Transportation
4.6.7 Education & Research
4.6.8 Other Industries
4.7 GLOBAL AGENTIC AI MARKET BY REGION
4.7.1 North America
4.7.2 Europe
4.7.3 Asia Pacific
4.7.4 Latin America
4.7.5 Middle East & Africa (MEA)
5. COMPETITIVE ANALYSIS
5.1 MARKET SHARE ANALYSIS
5.2 KEY PLAYERS AND THEIR STRATEGIES
5.3 KEY RECENT DEVELOPMENTS
5.3.1 Partnerships, Alliances, And Collaborations
5.3.2 New Product Launch
5.3.3 Expansion
6. COMPANY PROFILES
6.1 OPENAI
6.2 ALPHABET DEEPMIND
6.3 ORACLE CORPORATION
6.4 SAP SE
6.5 FUJITSU
6.6. REPLIT AGENT
6.7 ERNIE BOT
6.8 TENEO
6.9 RASA
6.10 COSINE
7. START-UP ECOSYSTEM
7.1 KEY INNOVATIONS & TRENDS SPECIFIC TO START-UPS
7.2 INVESTMENT TRENDS BY REGION
7.3 STARTUP INVESTMENT TRENDS
7.4 PROFILE OF KEY START-UPS
8. VELOX ASCENT MATRIX – A GROWTH STRATEGY FRAMEWORK
9. CONCLUSION & RECOMMENDATIONS

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