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Agentic AI Market

ID: MRFR/ICT/42114-HCR
200 Pages
Aarti Dhapte
October 2025

Agentic AI Market Research Report By Technology (Natural Language Processing, Machine Learning, Computer Vision, Robotic Process Automation), By Application (Personal Assistants, Customer Support, Predictive Analytics, Autonomous Vehicles), By End Use (Healthcare, Finance, Retail, Manufacturing), By Deployment Type (On-Premises, Cloud-Based, Hybrid) and By Regional (North America, Europe, South America, Asia-Pacific, Middle East and Africa) - Forecast to 2035

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Agentic AI Market Summary

As per MRFR analysis, the Agentic AI Market Size was estimated at 4.92 USD Billion in 2024. The Agentic AI industry is projected to grow from 6.016 USD Billion in 2025 to 44.97 USD Billion by 2035, exhibiting a compound annual growth rate (CAGR) of 22.28 during the forecast period 2025 - 2035.

Key Market Trends & Highlights

The Agentic AI Market is experiencing robust growth driven by technological advancements and increasing integration across various sectors.

  • North America remains the largest market for Agentic AI Market, showcasing a strong demand for automation and efficiency.
  • The Asia-Pacific region is emerging as the fastest-growing market, fueled by rapid technological adoption and innovation.
  • Natural Language Processing continues to dominate the market, while Machine Learning is recognized as the fastest-growing segment.
  • Rising demand for automation and advancements in machine learning are key drivers propelling the market forward.

Market Size & Forecast

2024 Market Size 4.92 (USD Billion)
2035 Market Size 44.97 (USD Billion)
CAGR (2025 - 2035) 22.28%

Major Players

OpenAI (US), Google (US), Microsoft (US), IBM (US), Amazon (US), NVIDIA (US), Salesforce (US), Meta (US), Baidu (CN), Alibaba (CN)

Agentic AI Market Trends

The Agentic AI Market is currently experiencing a transformative phase characterized by rapid advancements in technology and increasing adoption across various sectors. Organizations are increasingly recognizing the potential of agentic AI to enhance operational efficiency, improve decision-making processes, and deliver personalized customer experiences. This growing awareness is driving investments in research and development, as companies strive to integrate intelligent systems into their workflows. Furthermore, the emergence of ethical considerations surrounding AI deployment is prompting stakeholders to prioritize responsible practices, ensuring that these technologies are developed and utilized in a manner that aligns with societal values. In addition, the Agentic AI Market is witnessing a surge in collaboration between technology providers and end-users. This trend appears to foster innovation, as partnerships enable the sharing of knowledge and resources, ultimately leading to the creation of more sophisticated solutions. As organizations continue to explore the capabilities of agentic AI, the market is likely to evolve, adapting to the changing needs of consumers and businesses alike. The future landscape may be shaped by ongoing advancements in machine learning, natural language processing, and automation, which could further enhance the functionality and applicability of agentic AI across diverse industries.

Increased Integration in Business Processes

Organizations are increasingly embedding agentic AI into their core operations. This trend suggests a shift towards automation and data-driven decision-making, where intelligent systems assist in streamlining workflows and enhancing productivity.

Focus on Ethical AI Development

There is a growing emphasis on the ethical implications of AI technologies. Stakeholders are prioritizing responsible AI practices, which may lead to the establishment of guidelines and frameworks that ensure fairness, transparency, and accountability in agentic AI applications.

Collaboration Between Sectors

The Agentic AI Market is seeing heightened collaboration between technology developers and various industries. This trend indicates a collective effort to innovate and tailor solutions that meet specific sector needs, potentially resulting in more effective and customized applications.

Agentic AI Market Drivers

Rising Demand for Automation

The Agentic AI Market experiences a notable surge in demand for automation across various sectors. Organizations are increasingly adopting agentic AI solutions to enhance operational efficiency and reduce human error. According to recent data, the automation market is projected to reach USD 200 billion by 2025, indicating a robust growth trajectory. This demand is driven by the need for streamlined processes and cost reduction, as businesses seek to remain competitive. The integration of agentic AI into workflows allows for real-time data analysis and decision-making, which is crucial in today's fast-paced environment. As companies recognize the potential of agentic AI to transform their operations, investment in this technology is likely to escalate, further propelling the growth of the Agentic AI Market.

Advancements in Machine Learning

Technological advancements in machine learning are significantly influencing the Agentic AI Market. The evolution of algorithms and computational power has enabled the development of more sophisticated agentic AI systems capable of learning from vast datasets. This capability enhances the accuracy and efficiency of AI applications, making them more appealing to businesses. Recent statistics suggest that the machine learning market is expected to grow to USD 117 billion by 2027, reflecting the increasing reliance on AI-driven solutions. As organizations seek to leverage data for strategic decision-making, the demand for advanced machine learning techniques within the agentic AI framework is likely to rise. This trend indicates a promising future for the Agentic AI Market, as companies invest in cutting-edge technologies to gain a competitive edge.

Growing Focus on Personalization

The Agentic AI Market is witnessing a growing emphasis on personalization in customer interactions. Businesses are increasingly utilizing agentic AI to tailor their services and products to meet individual customer preferences. This trend is particularly evident in sectors such as retail and finance, where personalized experiences can significantly enhance customer satisfaction and loyalty. Data indicates that companies employing personalized marketing strategies can see conversion rates increase by up to 10 times. As consumer expectations evolve, the ability to deliver customized solutions through agentic AI becomes a critical differentiator. This focus on personalization not only drives customer engagement but also fosters long-term relationships, thereby contributing to the sustained growth of the Agentic AI Market.

Increased Investment in AI Startups

Investment in AI startups is on the rise, significantly impacting the Agentic AI Market. Venture capitalists and private equity firms are increasingly funding innovative companies that develop agentic AI solutions. This influx of capital is fostering a vibrant ecosystem of startups that are pushing the boundaries of what agentic AI can achieve. Recent reports indicate that AI startups attracted over USD 30 billion in funding in 2023 alone, highlighting the growing interest in this sector. As these startups introduce novel applications and technologies, they contribute to the overall advancement of the Agentic AI Market. This trend suggests a dynamic future, where continuous innovation drives the market forward.

Regulatory Support for AI Innovations

Regulatory frameworks are increasingly supporting innovations within the Agentic AI Market. Governments are recognizing the potential of AI technologies to drive economic growth and are implementing policies that encourage research and development. This supportive environment is crucial for fostering innovation and attracting investment in agentic AI solutions. Recent initiatives have been launched to create standards and guidelines that ensure ethical AI practices while promoting technological advancement. As regulatory bodies establish clearer frameworks, businesses are likely to feel more confident in adopting agentic AI technologies. This regulatory support is expected to catalyze growth in the Agentic AI Market, as companies align their strategies with evolving compliance requirements.

Market Segment Insights

By Technology: Natural Language Processing (Largest) vs. Machine Learning (Fastest-Growing)

Within the Agentic AI Market, the segment values exhibit a distinct distribution of market share. Natural Language Processing (NLP) stands out as the dominant technology, capturing a significant portion of the market due to its wide applicability in customer service, content generation, and data analysis. Conversely, Machine Learning is rapidly gaining traction, particularly in sectors like healthcare and finance, where predictive analytics and automation are becoming increasingly critical.

Technology: NLP (Dominant) vs. Machine Learning (Emerging)

Natural Language Processing (NLP) plays a crucial role in enabling machines to understand and interpret human language, making it indispensable in applications such as chatbots and sentiment analysis. This technology leads the Agentic AI Market by leveraging vast datasets to improve accuracy and engagement. In contrast, Machine Learning, characterized by its algorithms that allow systems to learn from data patterns, is emerging vigorously. It is particularly favored for its ability to enhance decision-making and optimize operations, especially in industries prioritizing innovation and efficiency.

By Application: Customer Support (Largest) vs. Predictive Analytics (Fastest-Growing)

In the Agentic AI Market, the application segment is diverse, with Personal Assistants, Customer Support, Predictive Analytics, and Autonomous Vehicles vying for market share. Customer Support is currently the largest segment, commanding a significant portion of the market due to its widespread adoption across various industries. Personal Assistants and Predictive Analytics also hold notable positions, with the latter rapidly gaining traction as businesses seek to leverage data for enhanced decision-making. Autonomous Vehicles, while a smaller segment, are drawing attention owing to advancements in AI technology. The growth of the application segment is driven by several key factors. Increasing demand for automation and efficiency in customer interactions has accelerated the adoption of AI in Customer Support, making it a crucial area for investment. Predictive Analytics is becoming the fastest-growing segment, fueled by the need for insights and data-driven strategies in business operations. Personal Assistants continue to evolve with enhanced capabilities, while the Autonomous Vehicles segment benefits from technological advancements and a shift towards smart transportation solutions.

Customer Support (Dominant) vs. Predictive Analytics (Emerging)

Customer Support stands out as the dominant application in the Agentic AI Market, with organizations leveraging AI to streamline interactions, enhance user experience, and reduce operational costs. AI-driven chatbots and virtual assistants are increasingly being deployed in customer-facing roles, providing timely support and information while minimizing the need for human intervention. In contrast, Predictive Analytics, although emerging, is establishing its significance as businesses strive to derive actionable insights from vast amounts of data. This segment helps organizations anticipate customer needs and market trends, thereby improving strategic planning. Both segments reflect the growing reliance on AI technologies to enhance efficiency and decision-making processes across various industries.

By End-Use: Healthcare (Largest) vs. Finance (Fastest-Growing)

The Agentic AI Market exhibits a diverse distribution across various end-use sectors. Among these, the healthcare industry stands out as the largest segment, attributed to the increasing adoption of AI technologies for diagnostics, patient management, and personalized treatment solutions. Following healthcare, finance is gaining substantial traction, leveraging AI for fraud detection, risk management, and customer service enhancements, making it a rapidly growing area within the market.

Healthcare (Dominant) vs. Finance (Emerging)

Healthcare remains the dominant force in the Agentic AI Market, driven by the sector's demand for improved patient outcomes and operational efficiencies. AI technologies are widely utilized for predictive analytics, facilitating advanced research, and optimizing clinical workflows. Conversely, the finance segment is emerging as a significant player with its rapid adoption of AI for automation and data analysis. Financial institutions are increasingly integrating AI to enhance decision-making processes, mitigate risks, and personalize customer experiences, suggesting a promising trajectory for growth in this sector.

By Deployment Type: Cloud-Based (Largest) vs. On-Premises (Fastest-Growing)

In the Agentic AI Market, deployment types are segmented into Cloud-Based, On-Premises, and Hybrid solutions. The Cloud-Based deployment holds the largest market share as it provides significant scalability, cost-effectiveness, and accessibility for users. In contrast, the On-Premises deployment is rapidly gaining traction and is currently the fastest-growing segment, attracted by organizations seeking greater control over their data and infrastructure. The Hybrid option, while holding a smaller share, is favored for its ability to combine the advantages of both cloud and on-premises solutions.

Deployment: Cloud-Based (Dominant) vs. On-Premises (Emerging)

The Cloud-Based deployment solution is characterized by its flexibility and ease of integration, allowing organizations to leverage advanced AI capabilities without the burdens associated with traditional infrastructures. It is especially popular among businesses looking for rapid implementation and scalability. Conversely, the On-Premises deployment model presents a more traditional approach, appealing to entities concerned about security, data sovereignty, and customization. As digital transformation accelerates, the On-Premises solution is emerging faster due to increasing organizational demands for tailored systems and compliance with data regulations.

Get more detailed insights about Agentic AI Market

Regional Insights

The Agentic AI Market is expected to see substantial growth across its Regional segmentation. In 2024, North America held a dominant position with a valuation of 1.662 USD Billion, expected to rise significantly to 17.988 USD Billion by 2035. This region's technological advancements and early adoption of AI technologies contribute to its majority holding. Europe follows, valued at 1.247 USD Billion in 2024, reaching 13.491 USD Billion in 2035, driven by increasing investments in AI-driven solutions across various industries.

The APAC region, valued at 0.914 USD Billion in 2024, is anticipated to grow to 9.993 USD Billion by 2035, highlighting the growing emphasis on digital transformation in countries like China and India. South America, although smaller, shows potential with a market value of 0.748 USD Billion in 2024, growing to 2.498 USD Billion by 2035. Meanwhile, the MEA region, valued at 0.349 USD Billion in 2024, is projected to reach 0.999 USD Billion by 2035, reflecting increasing interest in AI applications in various sectors.

Overall, the Agentic AI Market data reveals various dynamics across these regions, influenced by technological innovation, investment opportunities, and market growth strategies.

Agentic AI Market Regional Image

Key Players and Competitive Insights

The Agentic AI Market is characterized by rapid advancements and a high level of dynamism, marked by the presence of numerous key players that aim to enhance productivity and efficiency through intelligent automation. This market encompasses a variety of sectors, including healthcare, finance, retail, and customer service, all increasingly leveraging agentic AI technologies to gain competitive advantages. The technology's ability to interact autonomously with users while learning and adapting to different tasks positions it as a transformative solution in the digital landscape.

As the demand for personalized and automated user experiences grows, research into market trends, consumer behavior, and technological innovations is essential for companies seeking to maintain a foothold in this competitive arena. IBM stands out in the Agentic AI Market due to its robust expertise in artificial intelligence and enterprise solutions, which are key to sustaining its competitive edge. The company has been at the forefront of developing AI-driven applications that cater specifically to business needs, focusing on enhancing operational efficiency and customer engagement.

IBM's strength lies in its integration of AI with cloud computing, allowing for seamless data management and insights generation across industries. Their comprehensive suite of services and solutions enables organizations to adopt agentic AI with relative ease, fostering a culture of innovation. Moreover, IBM continues to invest heavily in research and development, ensuring that its offerings remain cutting-edge and relevant amidst the ever-evolving technological landscape. Salesforce has established itself as a formidable player in the Agentic AI Market, particularly through its innovative implementation of AI within customer relationship management (CRM) systems.

The company's focus on enhancing customer outcomes through smart data analytics and intuitive user interfaces ensures that businesses can leverage agentic AI to improve their sales strategies and customer service interactions. Salesforce's strengths include its vast ecosystem of applications, and a strong partner network that collectively promotes the seamless integration of AI features into existing workflows. This versatility allows clients from various sectors to adopt agentic AI solutions confidently. Furthermore, Salesforce's commitment to customer success is reinforced by its continuous improvement and expansion of AI capabilities, ensuring clients remain competitive in the digital economy.

Key Companies in the Agentic AI Market market include

Industry Developments

  • Q2 2025: The 10 Hottest Agentic AI Market Tools And Agents Of 2025 (So Far) Major agentic AI product launches in 2025 include new autonomous agent platforms and tools from AWS, Databricks, Dataiku, Google Cloud, GitHub, IBM, Salesforce, ServiceNow, and Snowflake, marking significant expansion in enterprise agentic AI offerings.
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Future Outlook

Agentic AI Market Future Outlook

The Agentic AI Market is projected to grow at a 22.28% CAGR from 2024 to 2035, driven by advancements in automation, data analytics, and increased demand for intelligent systems.

New opportunities lie in:

  • Development of AI-driven customer engagement platforms
  • Integration of agentic AI in supply chain optimization
  • Creation of personalized AI solutions for healthcare management

By 2035, the Agentic AI Market is expected to achieve substantial growth and innovation.

Market Segmentation

Agentic AI Market End-Use Outlook

  • Healthcare
  • Finance
  • Retail
  • Manufacturing

Agentic AI Market Technology Outlook

  • Natural Language Processing
  • Machine Learning
  • Computer Vision
  • Robotic Process Automation

Agentic AI Market Application Outlook

  • Personal Assistants
  • Customer Support
  • Predictive Analytics
  • Autonomous Vehicles

Agentic AI Market Deployment Type Outlook

  • On-Premises
  • Cloud-Based
  • Hybrid

Report Scope

MARKET SIZE 20244.92(USD Billion)
MARKET SIZE 20256.016(USD Billion)
MARKET SIZE 203544.97(USD Billion)
COMPOUND ANNUAL GROWTH RATE (CAGR)22.28% (2024 - 2035)
REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
BASE YEAR2024
Market Forecast Period2025 - 2035
Historical Data2019 - 2024
Market Forecast UnitsUSD Billion
Key Companies ProfiledMarket analysis in progress
Segments CoveredMarket segmentation analysis in progress
Key Market OpportunitiesIntegration of Agentic AI in autonomous systems enhances operational efficiency and decision-making capabilities.
Key Market DynamicsRising demand for autonomous decision-making systems drives innovation and competition in the Agentic AI Market.
Countries CoveredNorth America, Europe, APAC, South America, MEA

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FAQs

What is the current valuation of the Agentic AI Market as of 2024?

The Agentic AI Market was valued at 4.92 USD Billion in 2024.

What is the projected market valuation for the Agentic AI Market in 2035?

The market is projected to reach a valuation of 44.97 USD Billion by 2035.

What is the expected CAGR for the Agentic AI Market during the forecast period 2025 - 2035?

The expected CAGR for the Agentic AI Market during 2025 - 2035 is 22.28%.

Which technology segments are included in the Agentic AI Market?

Key technology segments include Natural Language Processing, Machine Learning, Computer Vision, and Robotic Process Automation.

What was the valuation of the Machine Learning segment in 2024?

The Machine Learning segment was valued at 1.48 USD Billion in 2024.

How does the projected valuation of the Healthcare segment compare to the Manufacturing segment by 2035?

By 2035, the Healthcare segment is expected to reach 6.73 USD Billion, whereas the Manufacturing segment is projected to grow to 17.46 USD Billion.

What are the primary applications of Agentic AI technology?

Primary applications include Personal Assistants, Customer Support, Predictive Analytics, and Autonomous Vehicles.

What is the projected valuation for the Cloud-Based deployment type by 2035?

The Cloud-Based deployment type is projected to reach a valuation of 17.99 USD Billion by 2035.

Which companies are considered key players in the Agentic AI Market?

Key players include OpenAI, Google, Microsoft, IBM, Amazon, NVIDIA, Salesforce, Meta, Baidu, and Alibaba.

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