Agentic Artificial Intelligence (AI) Market Global Trend, Demand, Scope, Growth Analysis and Industry Applications

The global agentic Artificial Intelligence (AI) market size was USD 30.89 Billion in 2024 and is expected to register a rapid revenue CAGR of 31.68% during the forecast period. The global agentic artificial intelligence (AI) market is experiencing significant growth, driven by advancements in AI technologies and their increasing application across multiple industries. As companies and organizations seek more efficient solutions, agentic AI is gaining traction for its ability to operate autonomously, make decisions, and adapt to dynamic environments, delivering high value in areas such as healthcare, finance, and industrial automation.

Agentic AI is evolving beyond traditional AI systems by interpreting data, making informed decisions, and executing tasks based on pre-defined goals. This has been key in its growing adoption across various sectors, as businesses look for solutions that can enhance operations, improve decision-making, and drive productivity.

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Key Market Drivers

The rising capability of agentic AI in crucial application areas such as healthcare, finance, and logistics is one of the primary factors driving market growth. Agentic AI systems are proving invaluable in managing complex tasks without constant human intervention. In healthcare, for instance, AI systems are monitoring patient care, diagnosing conditions, and offering personalized treatment recommendations, revolutionizing healthcare delivery. Similarly, in finance, agentic AI is optimizing investment strategies, detecting fraud, and managing transactions autonomously.

The automation capabilities of agentic AI, which allow it to adapt and improve through machine learning, are expected to propel its further deployment. Agentic AI systems can now sense and interpret their surroundings, analyze information, and make decisions, making them highly valuable in industrial applications, including supply chain management and manufacturing.

Challenges Facing the Market

Despite the promise of agentic AI, some barriers to adoption remain. High initial investment costs, including expenses related to hardware, software, and skilled personnel, are limiting the rapid integration of agentic AI, particularly for small and medium-sized enterprises. Additionally, there is a need for continuous updates and upgrades to maintain AI systems as they learn and evolve, further adding to the cost of implementation.

Ethical and regulatory concerns around AI are also causing hesitation. Issues such as data bias, lack of transparency, and potential legal liabilities have led to debates about the responsible use of AI technologies. As a result, some companies remain cautious about fully embracing agentic AI solutions, especially in sectors where accountability and trust are critical.

Public skepticism also plays a role in slowing adoption, as concerns about job displacement, privacy, and control over AI systems persist. Moreover, cybersecurity risks associated with integrating AI into critical infrastructure pose additional challenges.

Market Segments and Insights

Software Segment Leads the Way: The software segment currently holds the largest market share, driven by rising demand for AI-based solutions across sectors like healthcare, banking, and automotive. AI software powered by machine learning (ML), natural language processing (NLP), and other algorithms is being used to automate complex processes, enhance customer service, and improve operational efficiency.

Machine Learning (ML) Segment Dominates Technology: Among technology segments, ML is leading the market due to its broad applicability in predictive analytics, recommendation systems, and autonomous operations. Agentic AI enhances ML's ability to optimize processes, make data-driven decisions, and continuously improve performance.

Healthcare Sector Shows Strong Growth: The healthcare industry is at the forefront of adopting agentic AI, using the technology to improve patient care, reduce costs, and enhance service quality. From diagnosing medical conditions to optimizing treatments, AI is transforming healthcare by providing more accurate, data-driven solutions. The use of AI in telemedicine and drug development is also expanding, further fueling market growth.

Cloud-Based Deployment Increases: Cloud-based agentic AI solutions are becoming increasingly popular due to their scalability and cost-effectiveness. AI-as-a-service platforms allow businesses to deploy AI applications rapidly and efficiently without the need for extensive infrastructure investments.

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Agentic AI Top Companies and Competitive Landscape

The competitive landscape of the agentic Artificial Intelligence (AI) market is moderate to high, with companies focusing on rapid innovation and advancements in AI technologies and solutions. The competitive landscape is also expected to become increasingly competitive with new entrants and emerging start-ups focusing on introducing novel innovations and innovative solutions in the market. Companies are also engaging in research and development to enhance capability of AI and ensure scalability and reliability of offerings.

Some major companies in the market report include:

Google DeepMind

IBM Watson

Microsoft Azure AI

Amazon Web Services (AWS) AI

NVIDIA

Intel AI

OpenAI

Siemens Healthineers

GE Healthcare

Mayo Clinic

Agentic AI Latest Industry Updates

On 29 April 2024, Endava PLC, which is a UK-based software development company, announced the launch of innovative agentic AI accelerator, or internally known as 'Morpheus'. This accelerator along with its AI-powered tools have the power of data and multi-agent autonomous teams to overcome complex challenges commonly encountered and related to stringent regulations and transparency across industries such as insurance, healthcare, private equity, and financial services, and others.

On 20 March 2024, Stanhope AI Ltd., which is a UK-based deep-tech startup with expertise in robotics and neuroscience, received USD 29.6 Million in seed funding, in a round led by the UCL Technology Fund for development of agentic AI and its practical applications. Stanhope plans to leverage its decades of expertise in neuroscience research to teach machines to make human-like decisions in real-world scenarios.

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This report offers historical data and forecasts revenue growth at a global, regional, and country level, and provides analysis of the market trends in each of the segments from 2020 to 2033. For the purpose of this report, Emergen Research has segmented the global agentic AI market on the basis of component, technology, industry vertical, deployment model and region:

Component Outlook (Revenue, USD Billion; 2020-2033)

Hardware

Software

Services

Technology (Revenue, USD Billion; 2020-2033)

Machine Learning (ML)

Natural Language Processing (NLP)

Computer Vision

Robotics

Industry Vertical (Revenue, USD Billion; 2020-2033)

Healthcare

Finance

Retail

Manufacturing

Deployment Model (Revenue, USD Billion; 2020-2033)

On-Premise

Cloud-Based

Hybrid

Regional Outlook (Revenue, USD Billion; 2020-2033)

North America

U.S.

Canada

Mexico

Europe

Germany

U.K.

France

Italy

Spain

Sweden

BENELUX

Rest of Europe

Asia Pacific

China

India

Japan

South Korea

Indonesia

Thailand

Australia

Singapore

Rest of APAC

Latin America

Brazil

Rest of LATAM

Middle East & Africa

Saudi Arabia

U.A.E.

South Africa

Israel

Rest of MEA

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