The Agentic AI Companies Quadrant is a comprehensive industry analysis that provides valuable insights into the global market for Agentic AI. This quadrant offers a detailed evaluation of key market players, technological advancements, product innovations, and emerging trends shaping the industry. The 360 Quadrant evaluated over 100 companies, of which the Top 47 Agentic AI Companies were categorized and recognized as quadrant leaders.
The artificial intelligence landscape is experiencing a significant evolution with the rise of agentic AI. This advanced category of AI systems is set to revolutionize enterprise functions by going beyond traditional automation to deliver proactive, goal-oriented problem-solving with minimal human input. Unlike conventional AI agents that follow preset instructions, agentic AI systems demonstrate a high level of autonomy, enabling them to assess complex scenarios, devise strategies, and carry out multi-step tasks to accomplish broader goals. This marks a fundamental shift - not just an improvement in efficiency, but a strategic necessity for organizations striving to stay competitive and explore new opportunities for value generation.
According to IBM, Agentic AI is an artificial intelligence system that can achieve a defined goal with minimal supervision. It comprises AI agents - machine learning models that emulate human decision-making to address challenges in real time. In a multiagent system, each agent is responsible for a specific subtask needed to reach the final objective, with their activities coordinated through AI-driven orchestration. Unlike traditional AI models that operate under rigid constraints and depend on human guidance, agentic AI showcases autonomy, goal-directed behavior, and adaptability. The term 'agentic' refers to the models’ ability to act independently and intentionally.
The 360 Quadrant maps the Agentic AI companies based on criteria such as revenue, geographic presence, growth strategies, investments, and sales strategies for the market presence of the Agentic AI quadrant. The top criteria for product footprint evaluation included By OFFERING (Agentic Ai Infrastructure, Agentic Ai Platforms, Agentic Ai Saas, Agentic Ai Services), by HORIZONTAL USE CASE (Finance & Accounting, Workplace Experience, Sales, Data Analytics & Bi, Marketing, Security Ops, Customer Experience, Data Retrieval, Coding & Testing, Regulatory Compliance), by VERTICAL USE CASE (BFSI, Retail & E-Commerce, Professional Services, Healthcare & Life Sciences, Telecommunications, Software & Technology Providers, Media & Entertainment, Logistics & Transportation, Government & Defense, Automotive, Energy & Utilities, Manufacturing), and By END USER (Individual Users, Enterprises).
Key players in the Agentic AI market include major global corporations and specialized innovators such as Microsoft, NVIDIA, Google, AWS, AMD, OpenAI, UiPath, Snowflake, Aisera, Appian, Newgen, Amdocs, Hexaware, Adept AI, Relevance AI, Deloitte, Accenture, EY, PwC, Wipro, Cognizant, HCL Tech, Capgemini, NTT Data, TCS, Datamatics, Rewind AI, Orby AI, EMA, Artisan AI, Exa, Dexa AI, Simular, ServiceNow, SAP, Salesforce, Altair, Pega, Avanade, CyberArk, Zycus, Oracle, SAS Institute, Cisco, Ericsson, IBM, and ValueLabs. These companies are actively investing in research and development, forming strategic partnerships, and engaging in collaborative initiatives to drive innovation, expand their global footprint, and maintain a competitive edge in this rapidly evolving market.
The artificial intelligence landscape is experiencing a significant evolution with the rise of agentic AI. This advanced category of AI systems is set to revolutionize enterprise functions by going beyond traditional automation to deliver proactive, goal-oriented problem-solving with minimal human input. Unlike conventional AI agents that follow preset instructions, agentic AI systems demonstrate a high level of autonomy, enabling them to assess complex scenarios, devise strategies, and carry out multi-step tasks to accomplish broader goals. This marks a fundamental shift - not just an improvement in efficiency, but a strategic necessity for organizations striving to stay competitive and explore new opportunities for value generation.
According to IBM, Agentic AI is an artificial intelligence system that can achieve a defined goal with minimal supervision. It comprises AI agents - machine learning models that emulate human decision-making to address challenges in real time. In a multiagent system, each agent is responsible for a specific subtask needed to reach the final objective, with their activities coordinated through AI-driven orchestration. Unlike traditional AI models that operate under rigid constraints and depend on human guidance, agentic AI showcases autonomy, goal-directed behavior, and adaptability. The term 'agentic' refers to the models’ ability to act independently and intentionally.
The 360 Quadrant maps the Agentic AI companies based on criteria such as revenue, geographic presence, growth strategies, investments, and sales strategies for the market presence of the Agentic AI quadrant. The top criteria for product footprint evaluation included By OFFERING (Agentic Ai Infrastructure, Agentic Ai Platforms, Agentic Ai Saas, Agentic Ai Services), by HORIZONTAL USE CASE (Finance & Accounting, Workplace Experience, Sales, Data Analytics & Bi, Marketing, Security Ops, Customer Experience, Data Retrieval, Coding & Testing, Regulatory Compliance), by VERTICAL USE CASE (BFSI, Retail & E-Commerce, Professional Services, Healthcare & Life Sciences, Telecommunications, Software & Technology Providers, Media & Entertainment, Logistics & Transportation, Government & Defense, Automotive, Energy & Utilities, Manufacturing), and By END USER (Individual Users, Enterprises).
Key players in the Agentic AI market include major global corporations and specialized innovators such as Microsoft, NVIDIA, Google, AWS, AMD, OpenAI, UiPath, Snowflake, Aisera, Appian, Newgen, Amdocs, Hexaware, Adept AI, Relevance AI, Deloitte, Accenture, EY, PwC, Wipro, Cognizant, HCL Tech, Capgemini, NTT Data, TCS, Datamatics, Rewind AI, Orby AI, EMA, Artisan AI, Exa, Dexa AI, Simular, ServiceNow, SAP, Salesforce, Altair, Pega, Avanade, CyberArk, Zycus, Oracle, SAS Institute, Cisco, Ericsson, IBM, and ValueLabs. These companies are actively investing in research and development, forming strategic partnerships, and engaging in collaborative initiatives to drive innovation, expand their global footprint, and maintain a competitive edge in this rapidly evolving market.
Top 3 Companies
Microsoft
Microsoft leads the market with its Copilot ecosystem embedded across its enterprise solutions like Microsoft 365, Azure, and GitHub. This integration allows Microsoft’s AI to perform specific embedded tasks such as drafting emails and updating CRM fields, making it indispensable for enterprise productivity. The company's strength lies in its orchestration capabilities using Azure OpenAI and Semantic Kernel, which position Copilot as a central element for enterprise autonomy. Microsoft's market share ranges from 8% to 10%, reflecting its strong presence in agentic AI.NVIDIA
NVIDIA’s prominence in the Agentic AI market is bolstered by the high demand for its GPUs, essential for training and running complex AI models. With a market share of 7% to 9%, NVIDIA leverages its hardware expertise to support continuous learning and large-scale inference operations, facilitating significant operational outcomes across industries. The company capitalizes on the transition to autonomous systems and continues to be a key player through its strategic focus on high-performance computing.Google (Alphabet)
Google has repositioned itself from offering consumer-centric AI to providing enterprise-grade solutions with its Gemini platform, integrated across popular applications like Gmail and Google Cloud. Google’s strength lies in real-time collaboration and native access to vast data resources, enabling efficient information synthesis. Its market share stands at 6% to 8%, supported by its strong capabilities in retrieval and summarization across tools.Table of Contents
1 Introduction
2 Executive Summary
3 Market Overview and Industry Trends
4 Competitive Landscape
5 Company Profiles
6 Appendix
List of Tables
List of Figures
Companies Mentioned
- Microsoft
- Nvidia
- AWS
- Amd
- Openai
- Uipath
- Snowflake
- Aisera
- Appian
- Newgen
- Amdocs
- Hexaware
- Adept AI
- Relevance AI
- Accenture
- Cognizant
- Ntt Data
- Deloitte
- Ey
- Wipro
- Capgemini
- Hcl Tech
- Tcs
- Pwc
- Datamatics
- SAP
- IBM
- Salesforce
- Servicenow
- Cisco
- Altair
- Pega
- Cyberark
- Zycus
- Oracle
- Sas Institute
- Avanade
- Ericsson
- Valuelabs
- Rewind AI
- Ema
- Orby AI
- Exa
- Artisan AI
- Dexa AI
- Simular