Agentic Artificial Intelligence (AI) Market Size, Share and Trend Analysis, By Component (Hardware, Software, Services), Deployment Model (On-premise, Cloud, Hybrid), By Organization Size (Large Enterprises, Small & Medium Enterprises (SMEs), Others), By Technology, By End-Use, and By Region, Forecast 2025-2032

Global agentic artificial intelligence (AI) market overview and key insights:

The global agentic artificial intelligence (AI) market size reached USD 19.63 Billion in 2024 and is expected to register a revenue CAGR of 35.3% during the forecast period. Rising enterprise digital transformation owing to rapid penetration of internet connectivity across globally is a major factor driving the market revenue growth of agentic artificial intelligence (AI) market. According to the International Telecommunication Union (ITU), approximately 68% of the world’s population, or 5.5 billion people, are using internet in 2024. The worldwide internet penetration creating a competitive environment for business and industries to adopt advanced technologies like agentic AI, which significantly enhances operational efficiency and customer engagement.

Market Drivers:

Globally, agentic artificial intelligence (AI) is becoming essential for automating complex processes such as real-time data for decision-making of enterprises. Organizations are increasingly incorporating AI-driven solutions into various applications of business operations to streamline workflows efficiently. According to a study, AI has potential to boost employee productivity by approximately 40% by 2035.

Strategic collaborations between prominent competitors are accelerating adoption of agentic artificial intelligence (AI) across industries. For instance, On October 2024, NVIDIA Corporation and Accenture Plc partners to develop an agentic AI functionality through Accenture’s AI Refinery, which leverages the complete NVIDIA AI stack including NVIDIA AI Foundry. Accenture alone reported USD 3 billion in bookings attributed to generative AI in its recently-closed fiscal year.

Moreover, innovations in agentic AI frameworks, such as multi-agent orchestration are generating possibilities in agentic AI. For instance, On October 2024, Open AI launched an experimental open-source framework Swarm for Multi-Agent orchestration. This advancement will enhance operational efficiency of business, which are projected to fuel the market revenue growth over the forecast period.

Market Opportunity:

Growing industry requirement of automation across industries is rapidly accelerating the growth of the agentic artificial intelligence (AI) market. Several growth industries are adopting advanced AI technologies for increasing their operational efficiency to enhance their overall profitability and growth of the company. Agentic AI helps these industries to automate various complex task in decision making and process optimization. 5G deployment across globally are accelerating the advanced AI technologies and automation in industries significantly. According to the GSM Association, 5G will account for as many as 1.2 billion connections by 2025. 

This infrastructure accelerates the deployment of agentic AI across various industries, such as Banking, Financial Services and Insurance (BFSI), telecommunications, e-commerce, where real-time decision-making is crucial. The rapid 5G deployment will helps these AI systems to process large amounts of data more efficiently, which leads to faster operations. The rising demand for automation and the expansion of 5G are generating significant growth opportunities for the agentic artificial intelligence (AI) market.

Recent Trends:

Incorporation of agentic AI in banking financial, insurance (BFSI), fintech industries is a major market trend of agentic artificial intelligence (AI) market. Globally a significant number of banking, financial services, and insurance (BFSI) companies are deploying agentic AI in revolutionizing critical processes and decision-making. For instance, on October 16, 2024, Indico data launched agentic AI decision application for underwriting triage and clearance. This latest innovation uses agentic AI to automate and enhance the underwriting process, handling unstructured data and complex criteria more effectively.

Additionally, On October, 2024, Backbase, announced a new AI intelligence platform, Intelligence Fabric. This AI-driven tool helps banks leverage data for more personalized and responsive services, addressing the growing demand for intelligent customer engagement. AI applications in banking, from fraud detection to personalized services, are creating significant competitive advantages and driving productivity. These developments highlight the pivotal role agentic AI plays in modernizing and optimizing the BFSI sector.

Restraints & Challenges:

Concerns regarding data privacy and security are significant restraining factors in the agentic AI market. AI systems highly rely on large amount of data for training and decision-making. The risk of data breaches across globally are surging at an alarming rate. According to the FBI, the Internet Crime Complaint Center (IC3) recorded 880,418 complaints in 2023, with potential losses exceeding USD 12.5 billion, reflecting a 10% rise in complaints and a 22% surge in losses from the previous year.

Moreover, regulatory frameworks are also becoming more stringent across worldwide. Regulations such as the European General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) impose strict data protection rules. Under the EU AI Act 2024, companies that fail to comply with AI regulations face penalties ranging from USD 8 million to USD 37.4 million or 1% to 7% of their global annual turnover, depending on the violation’s severity. These substantial fines may create a regulatory burden for businesses, which in turn may hinder the market revenue growth of agentic AI market.

Component Segment Insights and Analysis:

Based on the component, the agentic artificial intelligence (AI) market is segmented into hardware, software and services.

Software segment contributed largest revenue share in 2024. Rising adoption of advanced AI software solution for enterprise applications is a key contributor for driving market revenue growth of agentic artificial intelligence (AI) market in 2024. Business across globally is significantly incorporating artificial intelligence (AI) driven software tools to perform specific tasks such as workflow optimization and autonomous decision-making.

On December 2024, Faros AI, Inc. partners with IT and Software development entered into a strategic partnership to enhances engineering workflows by benchmarking productivity throughout software development lifecycle (SDLC) process. Globant will deploy this tool across its global engineering teams, empowering its workforce to make faster and accurate data-driven decisions during software development lifecycle (SDLC) process.

Hardware segment is expected to register significant revenue growth over the forecast period. Rising demand for high performance computing hardware components such as graphics processing unit (GPU), tensor Processing Unit (TPU) and edge computing devices are expected to drive market revenue growth over the forecast period.  

Companies making significant investment in innovative technologies in order to meet the growing demand for high-performance computing infrastructure. For instance, On December 2024, d-Matrix Inc. launched its first AI processor Corsair, to optimize AI inference. This product is Supported by Microsoft and built on advanced technology.

Technology Segment Insights and Analysis:

Based on the technology, the agentic artificial intelligence (AI) market is segmented into natural language processing (NLP), computer vision, machine learning (ML), cognitive computing and others.

Natural language processing (NLP) segment contributed largest revenue share in 2024. Widespread integration of natural language processing (NLP) and large language model (LLM), in agentic AI application is a major factor contributed in market revenue growth. Agentic artificial intelligence (AI) systems leverage natural language processing (NLP) capabilities to perceive and gather data from their environment in multiple formats, including text, images, and real-world information. These functionalities are essential for a wide range of applications such as customer service chatbots to real-time decision-making systems.

Advancements in intelligent virtual agents (IVAs) to seamlessly integrate conversational AI and natural language processing (NLP) capabilities into a single AI agent to deliver personalized and efficient customer interactions are further fueling growth of the market. For instance, On November 2024, Five9 launched Five9 Genius AI suite Five9 AI Agents, the next generation of its Intelligent Virtual Agents (IVA) powered by conversational AI and natural language processing (NLP).

Computer vision segment is expected to register fastest revenue growth over the forecasted period. Rapid integration of computer vision (CV) into agentic artificial intelligence (AI) to accurately interpret, and respond to visual information from environment are projected to drive the market revenue growth by 2032. Computer vision is a critical technology for enabling autonomous decision-making. For example, it provides real-time scene understanding and object recognition, spatial awareness for navigation, and visual anomaly detection for quality control.

End-Use Segment Insights and Analysis:

Based on the end-use, the agentic artificial intelligence (AI) market is segmented into banking, financial services and insurance (BFSI), IT and telecommunications, e-commerce, healthcare, transportation and logistics, e-learning, travel & hospitality and others.

Banking, financial services and insurance (BFSI) segment contributed largest revenue share in 2024. Agentic artificial intelligence (AI) plays pivotal role in banking, financial services and insurance (BFSI) industries to offer customers personalized solution such as tailored financial advice, investment strategies, and savings plans through processing large volume of datasets.

Globally, banking, financial services, insurance (BFSI) companies are significantly deploying agentic artificial intelligence (AI) models to automate the extraction process of data from various documents, such as passport, government ID card, identity verification documents, and mortgage documents. BFSI companies are significantly incorporating agentic artificial intelligence (AI) to deliver personalized experiences and improving revenue-driven business outcomes in order to meet the growing customer demands.

Also, agentic artificial intelligence (AI) companies are receiving funding to develop agentic artificial intelligence (AI) application in banking. For instance, On October 2024, interface.ai received a fund of USD 30 million to develop AI agents-through voice, chat, and co-pilot experiences. Additionally, On October 2024, Zingly.ai launched a suite of AI-powered tools designed to drive revenue growth for banking, financial services, and insurance (BFSI) institutions.

Healthcare segment is expected to register fastest revenue growth by 2032.  Rapid demand of agentic artificial intelligence (AI) in managing and processing the large volumes of data are projected to drive the revenue growth of the market. According to a study, by 2025, global data generation is expected to exceed 180 zettabytes, with healthcare accounting for more than a third of this total. Currently, only 3% of healthcare data is being effectively utilized, primarily due to the limitations of outdated systems that struggle to process multi-modal data at scale.

Agentic artificial intelligence (AI) systems, powered by large language models (LLMs) and multi-modal foundation models (FMs), are designed to process and analyze large volume of datasets, such as patient histories, clinical notes, diagnostic imaging, and medical guidelines. These systems can extract actionable insights from complex data. These factors are expected to accelerate market revenue growth over the forecast period.

Geographical Outlook:

North America is registered highest market share in agentic artificial intelligence (AI) market. Rapid growth in AI infrastructure and government funding are major factors which are driving the market revenue growth of AI market in North America. On September 2024, The U.S. government, in collaboration with eight major tech companies in the U.S., launched the partnership for Global Inclusivity on AI (PGIAI). These commitments exceeding funding of USD 100 million from major AI companies such as Amazon, Google, and OpenAI, leverages expertise and resources to capitalize AI’s potential for sustainable development and improving quality of life.

Moreover, in 2023, the U.S. government announced USD 15 million in foreign assistance funding during the 78th UN General Assembly, aimed at enhancing global AI capacity in alignment with Sustainable Development Goals. These strategic investments reinforce the U.S. as a leader in AI development and governance, boosting agentic AI innovations.

The rapid penetration of 5G technology further accelerates the market revenue growth in this region. According to the 5G Americas, North America leading in 5G adoption, accounting for 32% of all wireless connections, with 220 million 5G connections recorded in early 2024. The region saw an addition of 22 million new connections in the first quarter of 2024.

Asia Pacific is expected to register significant revenue growth by 2032. Rapid 5G penetration in the region has contributed to the revenue growth of agentic artificial intelligence (AI) market in this region. According to the GSM Association, Asia-Pacific exceeded 1.2 billion with a penetration rate of just under 45% of the population in 2021. Competitors in this region are developing new products which has also projected contributed in revenue generation in 2025.

For instance, On November 2024, NEC Corporation has developed an Agentic AI aimed at boosting productivity by automating complex, specialized tasks. Additionally, companies across this region are receiving funds to accelerate innovation in agentic artificial intelligence (AI). On, December 2024, Pulse a Software-as-a-Service (SaaS)-focused agentic artificial intelligence (AI) platform, has received an investment of USD 1.4 million in seed funding.

Europe is expected to register steady revenue growth over the forecast period. Rapid investment in companies to develop agentic artificial intelligence (AI) platforms are key contributor of revenue generation of agentic artificial intelligence (AI) market in Europe. For instance, On May 2024, Paris-based agentic AI startup H, has received an investment of USD 220 million in seed funding to develop foundational models. Also, On December 2024, Austria based startup DeepOpinion specializing in enterprise agentic process automation, has raised USD 11.66 million in a Series A funding round.

Competition Analysis:

The agentic artificial intelligence (AI) market is characterized by a fragmented structure, with several players competing across various segments and regions. List of major players included in the agentic artificial intelligence (AI) market report are:

• Alphabet Inc.
• Microsoft Corporation
• IBM Corporation
• Amazon Web Services, Inc.
• OpenAI
• UiPath, Inc
• Anthropic PBC
• Stability AI Ltd
• Restack Software, Inc.
• Beam AI Inc.
• Nvidia Corporation
• DevRev Inc.
• Accenture plc 
• Adept AI Labs Inc.
• Vultr
• Copado, Inc.
• Faros AI, Inc.
• d-Matrix Inc.
• Five9, Inc. 


Strategic Developments in Agentic Artificial Intelligence (AI) Market:

• On 17^th October 2024, Vultr has unveiled a major expansion to its Vultr Serverless Inference platform, offering organizations critical infrastructure for agentic AI. Leveraging advanced serverless technology powered by NVIDIA and AMD GPUs, Vultr seamlessly scales AI model inference at the data center edge. AI models are intelligently deployed on the most optimized NVIDIA or AMD hardware, delivering top-tier performance without requiring manual setup or configuration.
• On 24^th September 2024, Copado has created a set of generative AI agents designed to automate specific tasks commonly faced by DevOps teams when building and deploying applications on Salesforce’s software-as-a-service (SaaS) platform. As AI continues to shape the future of DevOps, more tasks will be automated through agentic AI, which uses generative AI to develop agents trained on a targeted dataset for specific tasks. This approach ensures higher accuracy compared to large language models (LLMs) trained on data pulled randomly from the web.

Key Advantages for Stakeholders:

Navistrat Analytics’ industry report provides an in-depth quantitative analysis of various market segments, historical and current trends, market forecasts, and dynamics within the global market. The historical years covered in this report are 2022 to 2023, with 2024 serving as the base year for market size calculations. The forecast period extends from 2025 to 2032.

The report includes an executive summary and a comprehensive overview of market drivers, restraints, opportunities, and challenges (DROC), along with insights into regulatory standards. It features detailed analyses such as PORTER’s Five Forces, SWOT, and PESTLE, as well as assessments of technological trends and the competitive landscape.

PORTER’s Five Forces analysis helps stakeholders evaluate the impact of new entrants, competitive rivalry, supplier power, buyer power, and substitution threats, enabling them to assess the level of competition and the attractiveness of the global market. The competitive landscape provides stakeholders with a clear understanding of the current market positions of key players, offering valuable insights into their competitive environment.

Scope And Key Highlights of The Agentic Artificial Intelligence (AI) Market Report:

The global agentic artificial intelligence (AI) market report offers a detailed analysis of market size, including historical revenue (in USD Million) data for 2022-2023 and revenue forecasts for 2025-2032 across the following segments:

• Component Outlook (Revenue, USD Million; 2022-2032)
  • Hardware
  • Software
  • Services

• Deployment Model Outlook (Revenue, USD Million; 2022-2032)
  • On-premise
  • Cloud
  • Hybrid

• Technology Outlook (Revenue, USD Million; 2022-2032)
  • Natural Language Processing (NLP)
  • Computer Vision
  • Machine Learning (ML)
  • Cognitive Computing
  • Others

• Organization Size Outlook (Revenue, USD Million; 2022-2032)
  • Large Enterprises
  • Small & Medium Enterprises (SMEs)
  • Startups & Innovators

• End-Use Size Outlook (Revenue, USD Million; 2022-2032)
  • Banking, Financial Services and Insurance (BFSI)
  • IT and Telecommunications
  • E-commerce
  • Healthcare
  • Transportation and Logistics
  • E-learning
  • Travel & Hospitality
  • Others

• Regional Outlook (Revenue, USD Million; 2022-2032)
  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • Germany
    • France
    • U.K.
    • Italy
    • Spain
    • Benelux
    • Nordic Countries
    • Rest of Europe
  • Asia Pacific
    • China
    • India
    • Japan
    • South Korea
    • Oceania
    • ASEAN Countries
    • Rest of APAC
  • Latin America
    • Brazil
    • Rest of LATAM
  • Middle East & Africa
    • GCC Countries
    • South Africa
    • Israel
    • Turkey
    • Rest of MEA

Frequently Asked Questions (FAQ) about the Agentic AI Market Report