Agentic AI Market worth $93.20 billion by 2032
According to a research report "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" published by MarketsandMarkets, The market for agentic AI is slated to expand from USD 7.06 billion in 2025 to USD 93.20 billion by 2032, at a substantial CAGR of 44.6% during the forecast period
Browse 308 market data Tables and 60 Figures spread through 402 Pages and in-depth TOC on "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"
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The surge in market growth is fueled by accelerated enterprise deployment of autonomous agents capable of executing complex, multi-domain workflows with limited human oversight. Organizations are moving beyond static automation to embrace systems that can reason, adapt, and coordinate across dynamic business environments. This shift is enabled by the maturation of AI infrastructure—spanning LLMs, orchestration engines, and real-time context layers—which now allows for scalable, reliable deployment of task-driven agents. Concurrently, leading hyperscalers and enterprise software providers are doubling down on agent-first architectures, introducing configurable frameworks that allow enterprises to embed intelligence directly into operational pipelines. As a result, agentic AI is no longer a technical innovation—it is becoming a strategic lever for transforming decision velocity, workforce augmentation, and digital process autonomy at scale.
Agentic AI infrastructure to dominate the market in 2025, buoyed by demand for scalable orchestration and cloud-native deployment layers
By offering, the agentic AI infrastructure segment accounted for the largest market share in 2025. This category includes cloud-native orchestration layers, model hosting platforms, memory augmentation frameworks, and control interfaces that allow agents to reason, learn, and act autonomously across enterprise environments. As organizations transition from static automation to autonomous decisioning, the demand for scalable, production-grade infrastructure has intensified. Enterprises are investing in modular cloud services that connect foundational models with secure data flows, enabling agents to operate within complex environments while maintaining traceability and compliance. Offerings such as Microsoft’s Copilot stack, NVIDIA’s Blueprints, and Google’s Agentspace exemplify the shift toward integrated agent orchestration platforms that support dynamic workflows, multi-agent collaboration, and lifecycle observability. This layer has become indispensable not only for task execution but also for maintaining governance, interoperability, and real-time responsiveness in agentic AI systems. As hyperscalers double down on agent infrastructure investments, this segment is set to remain the strategic backbone of enterprise-grade deployments.
Workplace experience is set to emerge as the fastest-growing horizontal use case, driven by embedded autonomy and context-aware productivity
The workplace experience segment is witnessing explosive growth within the agentic AI market, propelled by the demand for embedded intelligence across productivity, collaboration, and communication tools. Enterprises are actively deploying AI assistants within email clients, meeting platforms, document editors, and workflow systems to autonomously draft responses, summarize meetings, manage calendars, and extract contextual information. This growth is fueled by the convergence of LLMs with scheduling logic, memory architectures, and knowledge repositories that enable assistants to act with autonomy, rather than simply react to prompts. With enterprises shifting toward async, distributed work models, the role of workplace agents as digital companions is becoming integral to reducing friction, boosting responsiveness, and enabling context-switching across tasks. Leading vendors such as Microsoft, Google, Zoom, and Notion are embedding these agents natively into productivity ecosystems, accelerating usage and reducing deployment friction. Moreover, the modular design of these assistants allows easy customization across roles such as sales, HR, and engineering, further expanding their applicability across enterprise departments. As organizations prioritize digital fluency and automation, workplace experience is expected to remain the most lucrative and fastest-scaling application area for agentic AI over the next five years.
North America cements its position as the leading region, by market share in 2025, through high enterprise AI maturity and rapid innovation velocity in cloud-native architectures
North America is expected to dominate the global agentic AI market in 2025, accounting for the largest revenue share due to its mature enterprise AI infrastructure, aggressive digital transformation roadmaps, and high concentration of leading technology vendors. The region's dominance is underpinned by sustained investments from hyperscalers such as Microsoft, Google, and AWS, alongside enterprise software majors like ServiceNow, Salesforce, and IBM, all of which are embedding agentic capabilities across workflows. The US, in particular, is driving early-stage adoption across BFSI, healthcare, professional services, and technology sectors, supported by a rich ecosystem of AI startups, academic research hubs, and regulatory clarity. The demand for agentic AI systems that go beyond chatbot functionality and deliver embedded, proactive task support is especially strong among Fortune 500 firms seeking to modernize operations, reduce manual overhead, and improve cross-functional agility. Government-funded AI innovation initiatives and enterprise-scale pilots in autonomous agents for workplace productivity and cybersecurity are further reinforcing North America’s leadership. While other regions are accelerating adoption, the early ecosystem maturity and deployment scale seen in North America firmly position it as the foundational growth engine for the agentic AI market through the forecast period.
The 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), Datamatics (US), Rewind AI (US), Ema (US), Exa (US), Orby AI (US), Artisan AI (US), Dexa AI (US), Simular (US), relevance AI (US), and Adept AI (US).
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