Agentic AI Market (2026-2035) | Autonomous AI, Real-Time Decisioning, Cognitive Automation, Generative AI, LLM Integration & Scalable Automation | Top Companies are Anthropic, IBM, Salesforce & ServiceNow.

DataM Intelligence has released a new research report titled "Agentic AI Market Size 2026" The report delivers in-depth insights into key market dynamics, including regional growth trends, market segmentation, CAGR projections, and the revenue performance of leading industry players. It also highlights major growth drivers shaping the market landscape. Designed to provide a clear and comprehensive perspective, the report offers a detailed view of the current market size in terms of both value and volume, along with emerging opportunities and the overall development outlook of the global Agentic AI market.

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➢ United States Recent Developments:

✅ March 2026: Microsoft expanded its Agentic AI ecosystem by integrating autonomous AI agents into enterprise workflows across its cloud and productivity platforms.

✅ February 2026: OpenAI advanced multi-step reasoning agent capabilities, enabling AI systems to autonomously plan, execute, and adapt complex tasks in real time.

✅ January 2026: IBM introduced enterprise-grade Agentic AI solutions focused on automation, decision intelligence, and hybrid cloud deployment.

✅ December 2025: Google enhanced AI agent frameworks within its cloud ecosystem, focusing on scalable, context-aware automation for business operations.

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➢ List of Key Players 2026:

Microsoft, Google, Amazon Web Services, Anthropic, IBM, Salesforce, ServiceNow, NVIDIA, Acenture, Oracle.

➢ Growth Forecast Projected 2026-2035:

The Global Agentic AI Market is anticipated to rise at a considerable rate during the forecast period, between 2026 and 2033. In 2025, the market is growing at a steady rate, and with the rising adoption of strategies by key players, the market is expected to rise over the projected horizon.

➢ Key Developments 2025-2026:

✦ In 2026, Microsoft Corp. introduced a new suite of agentic AI solutions designed to integrate intelligent automation across the retail value chain, enabling quicker decision-making and highly personalized shopping experiences. These solutions connect merchandising, marketing, store operations, and fulfillment through a unified intelligence layer, replacing fragmented processes with streamlined and coordinated execution. By offering context-aware and proactive capabilities, Microsoft is helping accelerate the transition toward a more resilient, intelligence-led retail operating model.

✦ In 2026,Cognizant launched Cognizant Agent Foundry, a platform aimed at enabling enterprises to build, deploy, and manage autonomous AI agents at scale. The solution combines a flexible framework, reusable components, and implementation services powered by Cognizant and third-party intellectual property. It supports continuous, agent-driven transformation by enhancing adaptive operations, enabling real-time decision-making, and delivering more personalized customer experiences across enterprise processes.

➢ How Our Market Research Process Works:

The global Agentic AI Market research report is developed using a comprehensive combination of primary and secondary data sources. The study evaluates a wide range of industry-influencing factors, including government regulations, evolving market dynamics, competitive intensity, and historical performance trends. It also analyzes technological advancements, emerging innovations, and developments across related industries. In addition, the report assesses market volatility, growth opportunities, potential barriers, and key challenges that could impact the future expansion of the Agentic AI ecosystem.

➢ Recent Mergers & Acquisitions (M & A) 2025-2026:

✅ April 2026: Eli Lilly acquired Centessa Pharmaceuticals to strengthen its drug development pipeline.

✅ April 2026: QXO announced a acquisition of TopBuild to expand its building materials distribution network.

✅ March 2026: Mastercard acquired BVNK to enhance digital payment capabilities.

✅ March 2026: Merck acquired Terns Pharmaceuticals for expanding its cardiometabolic portfolio.

✅ March 2026: Netflix acquired InterPositive to integrate AI-driven content creation tools.

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➢ Japan Recent Developments:

✅ March 2026: Fujitsu developed Agentic AI platforms for autonomous IT operations and enterprise workflow optimization.

✅ February 2026: NTT DATA expanded AI agent deployment across smart city and financial service applications to enable real-time decision-making.

✅ January 2026: Hitachi integrated Agentic AI into industrial IoT systems for predictive maintenance and autonomous system control.

✅ December 2025: Sony explored AI-driven autonomous agents for smart electronics and next-generation entertainment ecosystems.

➢ Major Focused Key Segmentations 2026:

✦ By Component

The market is segmented by component into software platforms, AI models & frameworks, agent orchestration engines, tool integration layers, services, and others. Software platforms form the foundation, enabling development and deployment of intelligent agents. AI models & frameworks power decision-making, learning, and automation capabilities. Agent orchestration engines coordinate multiple agents and workflows for seamless execution. Tool integration layers connect agents with external systems, APIs, and enterprise tools. Services include consulting, implementation, and maintenance, ensuring smooth adoption and scalability.

✦ By Agent Type

Based on agent type, the market includes single-agent systems, multi-agent systems, autonomous agents, semi-autonomous agents, collaborative agents, and others. Single-agent systems handle specific tasks independently, while multi-agent systems enable coordination among multiple agents for complex operations. Autonomous agents operate with minimal human intervention, driving efficiency and scalability. Semi-autonomous agents allow human oversight for critical decision-making. Collaborative agents work alongside humans or other agents to enhance productivity and workflow efficiency.

✦ By Deployment Mode

In terms of deployment mode, the market is segmented into cloud-based, on-premise, and hybrid. Cloud-based deployment is widely preferred due to scalability, flexibility, and cost efficiency. On-premise solutions are chosen for enhanced data security and regulatory compliance. Hybrid models combine both approaches, offering flexibility while maintaining control over sensitive data.

✦ By Organization Size

The market is categorized by organization size into large enterprises and small & medium enterprises (SMEs). Large enterprises dominate due to higher investment capacity, advanced infrastructure, and early adoption of AI technologies. SMEs are rapidly adopting these solutions to improve efficiency, reduce operational costs, and remain competitive in evolving markets.

✦ By Application

Based on application, the market includes IT & telecommunications, BFSI (banking, financial services & insurance), healthcare & life sciences, retail & e-commerce, manufacturing, logistics & transportation, energy & utilities, media & entertainment, and others. IT & telecommunications lead adoption due to the need for automation and network optimization. BFSI leverages intelligent agents for customer service, fraud detection, and risk management. Healthcare & life sciences use them for diagnostics, patient management, and research. Retail & e-commerce benefit from personalized customer experiences and demand forecasting. Manufacturing and logistics utilize agents for process optimization and supply chain management, while energy, media, and other sectors adopt them for operational efficiency and innovation.

➢ Regional Growth Analysis for Market:

⇥ North America (U.S., Canada, Mexico)

⇥ Europe (U.K., Italy, Germany, Russia, France, Spain, The Netherlands and Rest of Europe)

⇥ Asia-Pacific (India, Japan, China, South Korea, Australia, Indonesia Rest of Asia Pacific)

⇥ South America (Colombia, Brazil, Argentina, Rest of South America)

⇥ Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of Middle East & Africa)

➢ We Provide Benefits of the Report:

Chapter 1: Lays the foundation by defining the scope of the report, highlighting core market segments across regions, product types, and applications. It delivers a clear snapshot of current market size, growth potential, and how the industry is expected to evolve in both the near and long term.

Chapter 2: Spotlights the most impactful market insights, unveiling the transformative trends and forces shaping the future of the industry.

Chapter 3: Provides a deep dive into the competitive landscape of , covering revenue shares, strategic initiatives, and notable mergers & acquisitions that are reshaping the market.

Chapter 4: Presents detailed company profiles of leading players featuring financial performance, product portfolios, profit margins, and key milestones that set them apart in the industry.

Chapters 5 & 6: Break down revenue analysis at both regional and country levels, offering precise data on market size, growth drivers, and expansion opportunities across global markets.

Chapter 7: Analyzes the market by product type, spotlighting segment-specific opportunities and helping stakeholders identify untapped, high-growth areas.

Chapter 8 :Explores the market through application-based segmentation, assessing demand across industries and pinpointing downstream sectors with the strongest potential for growth.

Chapter 9: Maps the industry's supply chain in detail, tracing upstream and downstream activities to provide clarity on value creation across the ecosystem.

Chapter 10: Wraps up with a concise summary of the report's key insights distilling the most critical findings and strategic takeaways for decision-makers and stakeholders.

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➢ FAQ

Q1: What is the current size of the Agentic AI Market?

A: Global Agentic AI market was valued at US$ 4.54 billion in 2025 and is expected to reach US$ 98.26 billion by 2033

Q2: How rapidly will the Market expanding?

A: The Agentic AI market is projected to grow at a CAGR of 46.87 % between 2026 and 2035.

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