Agentic AI is rapidly transforming from an experimental technology into a core enterprise capability. According to a MarketsandMarkets research report, the Agentic AI market is projected to surge from USD 7.06 billion in 2025 to USD 93.20 billion by 2032, registering a remarkable CAGR of 44.6%.
This unprecedented growth reflects how organizations are shifting beyond traditional automation toward autonomous, goal-driven AI systems that can reason, adapt, and act independently across complex workflows.
The report analyzes 308 market data tables and 60 figures across 402 pages, covering offerings such as Agentic AI Infrastructure, SaaS, Platforms, and Services, along with horizontal use cases including Customer Experience, Data Analytics & BI, Sales, Marketing, Coding & Testing, and SecOps.
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From Automation to Autonomy: Why Agentic AI Is Gaining Momentum
Enterprises are accelerating the adoption of autonomous AI agents capable of executing multi-step, cross-domain tasks with minimal human supervision. Unlike static bots, agentic AI systems can plan, learn, coordinate, and optimize actions dynamically inside business environments.
This evolution is powered by advances in:
- Large Language Models (LLMs)
- Orchestration and reasoning engines
- Context-aware memory layers
- Secure, cloud-native AI infrastructure
Leading hyperscalers and enterprise software vendors are embracing agent-first architectures, enabling businesses to embed intelligence directly into operational pipelines. As a result, agentic AI is emerging as a strategic driver for faster decisions, workforce augmentation, and end-to-end process autonomy.
Agentic AI Infrastructure Leads the Market
By offering, Agentic AI Infrastructure captured the largest share of the market in 2025. This segment forms the backbone of enterprise deployments, supporting orchestration, governance, observability, and multi-agent collaboration.
Infrastructure components include:
- Model hosting and orchestration platforms
- Memory augmentation frameworks
- Control and governance layers
- Secure data pipelines
Enterprises are prioritizing scalable, production-grade platforms that connect foundational models with real-time business systems. Solutions such as Microsoft Copilot stack, NVIDIA Blueprints, and Google Agentspace highlight the move toward integrated agent orchestration that supports dynamic workflows and lifecycle management.
As companies transition from simple automation to autonomous decisioning, infrastructure will remain the strategic foundation for enterprise-grade agentic AI adoption.
Workplace Experience Emerges as the Fastest-Growing Use Case
The workplace experience segment is witnessing rapid expansion, driven by the integration of agentic AI into everyday productivity tools. Organizations are embedding AI agents into email, meetings, documents, and collaboration platforms to autonomously:
- Draft communications
- Summarize meetings
- Manage schedules
- Retrieve contextual insights
- Coordinate workflows
With distributed and asynchronous work models becoming the norm, workplace agents act as digital collaborators, reducing friction and enabling smarter task execution. Vendors such as Microsoft, Google, Zoom, and Notion are accelerating adoption by natively embedding agents into productivity ecosystems.
Thanks to modular design and role-based customization for sales, HR, engineering, and operations, workplace experience is set to become the most scalable and commercially attractive application of agentic AI over the coming years.
North America Dominates Adoption
North America leads the global agentic AI market by revenue share in 2025, supported by strong enterprise AI maturity and rapid innovation in cloud-native architectures.
The region benefits from:
- Heavy investment by hyperscalers like Microsoft, AWS, and Google
- Enterprise platforms from Salesforce, ServiceNow, IBM, and Oracle
- A thriving startup ecosystem
- Academic research leadership
- Regulatory clarity
US enterprises are actively deploying agentic systems across BFSI, healthcare, professional services, cybersecurity, and IT operations. Government-backed AI initiatives and large-scale pilots are further accelerating market penetration, making North America the primary growth engine for agentic AI through the forecast period.
Competitive Landscape: Who’s Powering the Agentic AI Ecosystem?
The agentic AI market features a dynamic mix of hyperscalers, enterprise software leaders, and AI-native innovators, including:
Aisera, Avanade, PwC, Wipro, HCLTech, Cognizant, Cisco, Ericsson, NTT Data, SAS, Capgemini, Appian, IBM, ServiceNow, Accenture, EY, Salesforce, Pega, SAP, Snowflake, Altair, CyberArk, Zycus, Oracle, OpenAI, UiPath, Deloitte, AWS, Microsoft, NVIDIA, Google, Newgen, Hexaware, AMD, Amdocs, TCS, Datamatics, Rewind AI, Ema, Exa, Orby AI, Artisan AI, Dexa AI, Simular, Relevance AI, and Adept AI.
These players are shaping the future of enterprise autonomy by delivering platforms that blend reasoning, orchestration, security, and real-time intelligence into scalable agent-driven systems.
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