In the year 2024, the market value of agentic artificial intelligence (AI) stood at *** billion U.S.dollars. It is anticipated that this market value will surpass ** billion U.S.dollars, with a compound annual growth rate of over ** percent, as reported by Capgemini. This tremendous growth demonstrates the potential of agentic AI to transform industries through autonomous action and decision-making.

Agentic AI Market is estimated to reach USD 196.6 billion By 2034, Riding on a Strong 43.8% CAGR throughout the forecast period.

 Introduction

Agentic AI Statistics: Agentic AI is a segment of artificial intelligence designed to reach specific goals with little human supervision. It works through AI agents, which are machine learning models that act like human decision-makers to handle problems instantly. Agentic AI builds on generative AI techniques and relies on large language models (LLMs) to work well in dynamic situations.

As interest in this area increases, innovation is speeding up, with major tech firms, startups, and research groups putting strong efforts and resources into its progress. Statistics highlighting adoption trends, funding flows, market growth, and real-world applications that provide valuable insights into how agentic AI is evolving and influencing industries worldwide.

Artificial intelligence agents are poised to revolutionize business operations in the coming years. While many organizations are planning to integrate AI agents within the next three years, a significant portion anticipate longer-term implementation for more complex tasks. This shift towards AI-driven business processes reflects the growing importance of automation and data-driven decision-making in the corporate world. Near-term focus on modernization and quality assurance By 2025, businesses are prioritizing the upgrade and modernization of functions and integrations, with ** percent of organizations planning to implement these changes within the next three years. Quality assurance of digital functions and systems is also a key near-term objective, with ** percent of companies focusing on this area. These initiatives indicate a strong emphasis on laying the groundwork for more advanced AI integration in the future. Long-term vision for comprehensive AI integration Looking beyond the immediate future, organizations have ambitious plans for AI agent integration. Many businesses expect to implement workflow automations that span across the organization and access functions from third-party systems within **** or more years. This long-term outlook aligns with executive beliefs that the general public will be using AI agents more than websites or apps from 2031 onwards, with most anticipating this shift to occur from 2036 and later. As research in agentic systems continues to grow exponentially, businesses are preparing for a future where AI agents play a central role in their operations.

The Agentic AI Market Report is Segmented by Component (Solution, Services), Deployment Mode (On-Premises, Cloud, Hybrid), Organization Size (Small and Medium Enterprises, Large Enterprises), End-User Industry (Healthcare, BFSI, and More), Agent Architecture (Single-Agent Systems, Multi-Agent Systems), Application (Autonomous Process Automation, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

In 2024, less than *** percent of the enterprise software applications included agentic AI. Which means most of the applications with AI integrated rely heavily on user prompts. However, this is projected to change drastically by 2028, with almost ******* of all enterprise software applications incorporating agentic AI, enabling a higher level of autonomy in decision-making.

By 2034, the Agentic AI in Data Democratization Market is expected to reach a valuation of USD 112.7 bn, at a healthy CAGR of 44.7%.

In 2025, just ** percent of organizations are very familiar with agentic AI, while over half claim to be somewhat familiar with it. However, most organizations remain in the exploratory phase.

Executives believe that overall the general public will be using AI agents more than websites or apps from 2031 onwards, though most believe it will happen from 2036 and later.

Market Overview

The global Agentic AI market is experiencing an extraordinary transformation as intelligent software agents that autonomously perceive, decide, and act are becoming integral components of digital enterprise transformation. Based on extensive analysis, the market size of Agentic AI market was valued at USD 5.1 billion in 2024 and is forecast to reach around USD 150 billion by 2033, driven by powerful growth factors and robust compound annual growth rates (CAGR) estimated at nearly 35% from 2025 to 2033. This explosive expansion is fueled by the rapid digitalization of enterprises, strong government and R&D funding, and the increasing need for automation to improve operational efficiency and reduce human error by up to 40% in some cases. Leading technology trends include advancements in machine learning models such as LLMs, increased data generation from IoT sensors, and the integration of low-latency connectivity enabled by global 5G rollouts, which together create a fertile environment for the adoption of agentic AI solutions.

Major industry reports and triangulated data from government sources, official annual reports, and regulatory filings consistently affirm that as organizations seek to streamline workflows and enhance real-time decision-making with autonomous agents, the market will begin its mainstream consolidation over the next decade. Enterprises spanning finance, healthcare, retail, IT, and manufacturing are incorporating intelligent solutions to optimize processes, reduce costs, and unlock new revenue streams from agent-driven automation. Furthermore, the steady integration of sophisticated AI agents into cloud and on-premise systems, coupled with the increasing penetration of AI software subscriptions and hardware investments, reinforces the market’s transformative potential. This enormous growth trajectory not only underlines agentic AI’s role as a key enabler of digital transformation but also highlights its potential to reshape entire industries.

Investor confidence and aggressive R&D investments by both entrenched tech giants and specialized agents have been a primary driver of this market’s momentum, especially as major vendors consistently report significant revenue contributions from their AI platforms. The market is set to witness an unparalleled increase in operational efficiency as large enterprises along with SMEs leverage cloud-based and hybrid AI solutions to deploy scalable, intelligent virtual agents. With wide-ranging applications from customer service chatbots to autonomous robotics and decision-support systems, the Agentic AI market is positioned to undergo a multi-fold expansion that mirrors the evolution witnessed in cloud computing over the past decade. Overall, the forecasted growth and expansion of the market underscore a pivotal shift in how digital businesses will operate through fully integrated intelligent agents.

The projected market figures, coupled with the impressive CAGR, indicate enormous potential for both existing vendors and new startups as they compete to capture market share in this high-growth environment. The strategic repositioning of traditional tech companies into agile, AI-driven solution providers and the entry of independent innovators have already started to blur traditional boundaries, leading to a more integrated ecosystem where hardware, software, and services combine for maximum impact. The quantitative data not only supports the promise of explosive scaling but also reinforces the expectation that agentic AI will become a cornerstone in delivering business-driven intelligence and automation for enterprises across the globe.

Analyst Viewpoint

The Agentic AI in Data Engineering market is on track for rapid growth, driven by the increasing reliance on data integration solutions and AI-powered technologies like Natural Language Processing (NLP).

The cloud-based deployment model will continue to dominate, especially in large enterprises that require scalable, efficient data management solutions. The BFSI sector’s strong presence indicates significant demand for advanced data engineering solutions to streamline operations, reduce risks, and improve customer experiences.

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Introduction

The Global Agentic AI in Data Democratization Market is on a rapid growth trajectory, expected to reach USD 112.7 billion by 2034, up from USD 2.8 billion in 2024. This represents an impressive compound annual growth rate (CAGR) of 44.7% from 2025 to 2034. In 2024, North America led the market with a 37.2% share, generating USD 1.0 billion in revenue.

The adoption of agentic AI in data democratization is driving significant advancements in data access, analysis, and decision-making. With businesses focusing on empowering employees at all levels with data insights, the market is poised for exponential growth, revolutionizing industries.

Agentic AI Market Size

According to Market.us, The Global Agentic AI Market is set for extraordinary expansion, with its value expected to rise from USD 5.2 billion in 2024 to nearly USD 196.6 billion by 2034. This trajectory represents an exceptional CAGR of 43.8% during 2025 to 2034, reflecting the transformative role of autonomous and decision-making AI systems across industries. The surge is being fueled by increasing adoption of AI agents in enterprise automation, financial services, healthcare, and customer engagement, where demand for intelligent, context-aware, and self-improving solutions is accelerating at scale.

The Agentic AI Market refers to the sector focused on the development and deployment of autonomous AI systems capable of independently reasoning, planning, and acting towards specific goals with minimal human intervention. These systems are distinct from traditional AI by their ability to interact dynamically with environments, continuously learn, optimize workflows, and coordinate actions across multiple agents. Agentic AI is redefining enterprise automation by embedding real-time decision-making, contextual awareness, and outcome-driven autonomy directly into core business processes.

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The adoption of agentic AI is accelerating at a pace that marks a clear shift in enterprise automation strategies. Based on data from DigitalDefynd, more than 60% of new enterprise AI deployments in 2025 are expected to integrate agentic capabilities. This trend signals a movement away from static models toward autonomous, goal-driven systems capable of handling multi-layered and adaptive workflows. Between 2023 and 2025, the use of AutoGPT and agentic frameworks increased by 920% across developer repositories, underscoring strong momentum among engineers seeking scalable automation tools.

Agentic AI has already demonstrated remarkable efficiency gains in practical applications. These systems are capable of reducing human task time by up to 86% in multi-step workflows. By 2025, nearly 45% of Fortune 500 companies are piloting agentic systems, reflecting growing trust in self-directed AI agents for enterprise use. Compared to traditional LLMs, agentic frameworks can perform up to 12 times more complex tasks due to their reliance on dynamic feedback loops and autonomous decision-making. This advantage is positioning them as indispensable tools for large-scale digital transformation.

The investment climate surrounding agentic AI further highlights its disruptive potential. Since 2023, more than USD 9.7 billion has been invested in agentic AI startups, with major technology firms leading innovations in this space. Google DeepMind’s SIMA agent has exhibited the ability to learn over 600 skills across 9 different game engines, showcasing adaptability and versatility. Microsoft’s AutoGen framework has been adopted by 40% of Fortune 100 companies for automating IT operations and compliance-related tasks.

The global agentic AI startup landscape has experienced explosive growth in 2024, with funding skyrocketing to *** billion U.S. dollars and *** deals completed. This marks a dramatic increase from just ** million U.S. dollars and * deals in 2020, highlighting the rapidly evolving nature of the AI industry. The surge in investment reflects growing confidence in AI technologies and their potential to revolutionize various sectors. Global competition intensifies As funding pours into AI startups, Israel has emerged as a formidable player, boasting a median mosaic score of *** across ** funded AI companies in 2024. This puts Israel ahead of established tech hubs like the United Kingdom and Germany. The United States continues to dominate AI research capacity, partly due to contributions from tech giants like Microsoft, Google, Apple, and Amazon. European mergers grow European AI startup acquisition has grown considerably recently, jumping from around ** in 2020 to over *** in 2024. This suggests an increase in European AI startups that become noteworthy and successful, a good indicator for a continent that has been slower to capitalize on AI advances than the United States and China.

Agentic AI in Telecom Market Size

The Global Agentic AI in Telecom Market is undergoing a major transformation, driven by the rising demand for autonomous systems that can adapt, plan, and make decisions with minimal human input. In 2024, the market stood at USD 3.6 billion, and it is projected to grow at an exceptional CAGR of 48.5% through 2034, ultimately reaching around USD 187.7 billion. This significant growth is being fueled by telecom operators’ increasing reliance on intelligent agents to optimize network traffic, automate customer service, and enhance predictive maintenance across complex infrastructures.

Agentic AI represents a major shift in how telecommunications companies optimize, automate, and enhance their operations. Unlike simple automation, Agentic AI brings in autonomous agents capable of making informed, goal-driven decisions across network and customer domains. These agents are not just task bots; they act independently within defined guidelines, continuously monitoring vast and complex networks, analyzing real-time data, and taking proactive steps to resolve issues or improve services. Their mission is not limited to carrying out instructions but extends to achieving operational goals, improving performance metrics, and personalizing experiences for millions of users at once.

A core driver behind the adoption of Agentic AI in telecom is the need for agility in a highly competitive and quickly evolving market. Rising operational costs, surging network complexity, and ever-higher customer expectations make traditional processes inefficient. Service providers grapple with massive data flows, fluctuating network demands, and the pressure to deliver smarter, more personalized offerings. Agentic AI enables real-time, data-driven decision-making and self-managing network operations that adapt on the fly, all while controlling costs and improving reliability.

The demand for Agentic AI is propelling the sector forward primarily because of mounting pain points. Legacy systems struggle with modern network congestion, and customer support teams face overwhelming volumes of requests. Customers now expect instant, personalized service, and telecom operators risk losing out if they cannot respond swiftly. The rise of 5G, IoT devices, and cloud-driven services boosts data traffic and expands the surface area for potential problems or fraud. Agentic AI directly addresses these issues, providing scalable solutions that anticipate trouble, automate maintenance, and deliver ultra-responsive customer support.

Scope and Forecast

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Agentic AI In Labor Market Size 2025-2029

The agentic AI in labor market size is valued to increase by USD 8.15 billion, at a CAGR of 39.9% from 2024 to 2029. Proliferation of hyper-automation to enhance operational efficiency will drive the agentic AI in labor market.

Major Market Trends & Insights

North America dominated the market and accounted for a 36% growth during the forecast period.
By Deployment - On-premises segment was valued at USD 102.50 billion in 2023
By Solution - Robotic process automation and autonomous workflows segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 5.00 million
Market Future Opportunities: USD 8154.40 million
CAGR from 2024 to 2029 : 39.9%

Market Summary

The integration of Agentic AI in the labor market signifies a significant shift towards hyper-automation, enhancing operational efficiency and productivity. Agentic AI, a subset of artificial intelligence, functions as an autonomous, self-learning system that can make decisions and execute tasks independently. This technology is increasingly being adopted to optimize supply chains, ensure regulatory compliance, and streamline business processes. One real-world scenario involves a manufacturing company that implemented an Agentic AI system to manage its inventory and logistics operations. By automating repetitive tasks and predicting demand patterns, the system improved inventory turnover by 15% and reduced lead times by 20%.
However, the adoption of Agentic AI comes with challenges. Technical brittleness and high costs of scalability remain significant barriers to widespread implementation. Despite these hurdles, the benefits of Agentic AI are compelling, with many organizations recognizing its potential to revolutionize the way they operate.

What will be the Size of the Agentic AI In Labor Market during the forecast period?

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How is the Agentic AI In Labor Market Segmented ?

The agentic AI in labor industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Deployment

  On-premises
  Cloud-based


Solution

  Robotic process automation and autonomous workflows
  Conversational and agentic assistants
  Decision-support and augmentation tools
  Task-autonomous agents
  Others


End-user

  BFSI
  Healthcare
  Manufacturing
  Retail
  Others


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  APAC

    Australia
    China
    India
    Japan
    South Korea


  Rest of World (ROW)

By Deployment Insights

The on-premises segment is estimated to witness significant growth during the forecast period.

In the dynamic landscape of agentic AI in the labor market, on-premises deployments represent a significant yet evolving segment. Though smaller than cloud-based alternatives, on-premises AI systems are increasingly essential for organizations dealing with stringent data security, privacy, and regulatory compliance requirements. These industries, including finance, healthcare, government, and defense, operate under intricate legal frameworks that prioritize data sovereignty and control over computational processes. Consequently, the use of third-party cloud services for processing sensitive or classified information poses an unacceptable risk. On-premises AI systems, hosted and run entirely within an organization's private data centers, ensure that no sensitive data leaves the premises.

According to recent reports, over 40% of Fortune 500 companies have already adopted on-premises AI solutions for their data-intensive workloads. This trend underscores the growing importance of on-premises agentic AI systems in the labor market, as organizations seek to balance the need for advanced AI capabilities with their data security and regulatory obligations.

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The On-premises segment was valued at USD 102.50 billion in 2019 and showed a gradual increase during the forecast period.

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Regional Analysis

North America is estimated to contribute 36% to the growth of the global market during the forecast period.Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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In North America, the agentic AI market within the labor sector is experiencing rapid growth and innovation. With the United States and Canada leading the charge, this region is becoming the global epicenter for agentic AI adoption. Unique factors, such as unrivaled access to venture capital, the presence of t

Snapshot img

Agentic AI For Data Engineering Market Size 2025-2029

The agentic ai for data engineering market size is valued to increase by USD 3.77 billion, at a CAGR of 39.2% from 2024 to 2029. Increasing demand for real-time data processing and analytics will drive the agentic ai for data engineering market.

Major Market Trends & Insights

North America dominated the market and accounted for a 33% growth during the forecast period.
By Deployment - Cloud segment accounted for the largest market revenue share in 2023
CAGR from 2024 to 2029 : 39.2%

Market Summary

The market is experiencing significant growth, driven by the increasing demand for real-time data processing and analytics. This trend is fueled by businesses' need to make informed decisions quickly and effectively in today's competitive landscape. Autonomous data pipelines and self-optimizing Extract, Transform, Load (ETL) processes are emerging as key solutions, enabling continuous data flow and reducing manual intervention. However, this evolution brings new challenges, such as data governance and compliance complexities. As businesses navigate these complexities, Agentic AI becomes increasingly essential, offering advanced capabilities to manage and secure data while ensuring regulatory compliance.
Agentic AI systems leverage machine learning and natural language processing to understand context and intent, enabling them to automate data engineering tasks and improve overall data management efficiency. With their ability to learn and adapt, these systems offer a promising future for businesses seeking to maximize the value of their data assets.

What will be the Size of the Agentic AI For Data Engineering Market during the forecast period?

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How is the Agentic AI For Data Engineering Market Segmented and what are the key trends of market segmentation?

The agentic ai for data engineering industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Component

  Solutions
  Services


Deployment

  Cloud
  On-premises


End-user

  BFSI
  Healthcare
  Others


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  APAC

    Australia
    China
    India
    Japan


  South America

    Brazil


  Rest of World (ROW)

By Component Insights

The solutions segment is estimated to witness significant growth during the forecast period.

The market continues to evolve, driven by the increasing demand for scalable data infrastructure and intelligent data processing solutions. Solutions in this segment primarily comprise software platforms, specialized tools, and integrated applications that enable agentic AI capabilities for data engineering. These solutions offer autonomous data management and processing, featuring intelligent data discovery, automated schema inference, adaptive data pipelines, and predictive maintenance for data quality.

In February 2024, Databricks announced the public preview of Delta Sharing's storage optimization feature in its Lakehouse Platform, allowing for more efficient data sharing. With organizations facing growing data volumes and complexity, the need for robust, intelligent solutions is accelerating. The market for agentic AI in data engineering is projected to grow by 25% in the next year, underscoring its importance in the modern data landscape.

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The Solutions segment was valued at USD 0.00 billion in 2019 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 33% to the growth of the global market during the forecast period.Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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Agentic AI in data engineering is experiencing significant growth in North America, fueled by advanced technological infrastructure, a high concentration of AI research and development, and a culture of innovation. The United States, in particular, leads in the adoption of data solutions across industries such as technology, finance, and healthcare. The increasing complexity and volume of datasets necessitate automated, self-optimizing data pipelines, a key offering of agentic AI. North America's mature venture capital ecosystem actively funds AI startups, fostering a competitive and dynamic market landscape.

According to recent studies, the agentic AI market in North America is projected to grow at an impressive pace, with the number of AI-powered data engineering projects increasing exponentially. This regio

Generative AI for automation or agentic AI is the most interesting technology development for organizations in 2024.

Enterprise Agentic AI Market Size

The Global Enterprise Agentic AI Market is forecasted to reach USD 171 billion by 2034, rising sharply from USD 3.6 billion in 2024, with a robust CAGR of 47.2% during 2025-2034. In 2024, North America emerged as the leading region, accounting for over 39.7% of the global market and generating approximately USD 1.4 billion in revenue. This dominance is attributed to the early adoption of autonomous AI systems across enterprise workflows, supported by strong digital infrastructure and enterprise innovation in the U.S. and Canada.

The Enterprise Agentic AI Market represents a significant transformation in how organizations approach automation, decision-making, and personalized experiences at scale. At its core, agentic AI enables systems within enterprises to act independently, pursue specific business goals, and coordinate complex tasks with minimal human supervision. Unlike traditional AI tools that rely on human prompts or scripted rules, agentic AI actively interprets objectives, adjusts to dynamic data, and continuously learns from its environment.

The top driving factors fueling adoption include the increasing intricacy of business operations and the urgent need for real-time, proactive responses. Enterprises require agile solutions that not only automate tasks but also anticipate challenges, adapt strategies, and optimize workflows on the fly. As companies grapple with more data, shifting markets, and heightened customer expectations, agentic AI serves as the backbone for operational resilience and innovation, making it a pivotal differentiator in today’s competitive landscape.

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(𠙘𠙤𠙧𠙥𠙤𠙧𠙖𠙩𠙚 𠙢𠙖𠙞𠙡 𠙄𠘿 𠙥𠙧𠙚𠙛𠙚𠙧𠙧𠙚𠙙 𠙛𠙤𠙧 𠙩𠙤𠙥 𠙥𠙧𠙞𠙤𠙧𠙞𠙩𠙮)

Demand analysis reveals a strong and growing appetite for agentic AI across industries. Organizations implementing these solutions are experiencing process cycle times up to 40% faster, with error rates in complex operations falling by as much as 67%. The ability to manage vast workflows, process parallel tasks, and deliver instant insights is driving an uptick in enterprise deployments, especially in sectors like banking, retail, healthcare, and logistics. These markets see agentic AI as essential for scaling operations, boosting decision quality, and ensuring customer engagement around the clock.

According to Market.us, The Agentic AI Market is projected to expand from USD 5.2 billion in 2024 to approximately USD 196.6 billion by 2034, registering a robust CAGR of 43.8% during the forecast period. In 2024, North America led the market, capturing over 38% share with USD 1.97 billion in revenue. Within the region, the U.S. market alone accounted for USD 1.58 billion, reflecting its early adoption and continued investment in autonomous AI systems, supported by strong enterprise demand and advanced R&D infrastructure.

Market Size and Growth

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Global Agentic AI For Data Engineering Market size is expected to reach USD 63.8 Bn by 2033, from USD 3.4 Bn in 2024, growing at a CAGR of 36.2% from 2024 to 2033