Agentic AI Market Top Players, Segments & Regional Trends By 2033

(MENAFN- Straits Research) Introduction

Agentic AI refers to artificial intelligence systems capable of acting independently to achieve goals, rather than only responding to human instructions. These AI agents can plan, make decisions, and execute tasks autonomously, often using reinforcement learning, natural language processing, and advanced algorithms. The growth of agentic AI is fueled by advancements in computational power, cloud infrastructure, and real-time data analytics, enabling faster and more efficient autonomous operations.

Market Dynamics Rising investments in AI research drive the global market

Increasing investments in AI research are a major driver of the global agentic AI market , fueling rapid progress in autonomy, reasoning, and multi-agent coordination. Technology giants, governments, and venture capital firms are channeling funds into projects that advance intelligent decision-making systems.

• For example, in July 2025, Thinking Machines Lab-founded by former OpenAI CTO Mira Murati-raised a record $2 billion in a Series A funding round at a $10 billion valuation, highlighting strong investor confidence in agentic AI.

These substantial investments accelerate innovation, attract top-tier talent, and support the deployment of next-generation AI solutions across industries worldwide.

Emerging applications in defense & space create tremendous opportunities

The use of agentic AI in defense and space offers substantial growth potential, as military and space organizations increasingly rely on autonomous systems for high-risk and complex operations. These AI agents support real-time decision-making, mission planning, and multi-agent coordination in environments where human presence is limited or hazardous.

• For example, in May 2025, Applied Intuition launched two defense-oriented product lines-Axion and Acuity-aimed at accelerating the deployment of autonomous systems across air, land, sea, and space. Impressively, the company converted a GM Infantry Squad Vehicle to fully autonomous operation in just 10 days, demonstrating remarkable adaptability.

Such developments underscore the pivotal role of agentic AI in shaping next-generation defense and space initiatives.

Regional Analysis

North America remains the dominant region in the agentic AI market, supported by advanced technological infrastructure, strong R&D capabilities, and robust investment in AI-driven innovation. The region leads in enterprise adoption across sectors such as finance, healthcare, and retail, where AI agents streamline operations and customer engagement. For example, major automotive firms in North America are integrating multi-agent systems for autonomous vehicle testing and deployment. With a mature digital ecosystem and significant venture funding, the region continues to set benchmarks for global agentic AI adoption.

Key Highlights

• The global agentic AI market size was valued at USD 5.78 billion in 2024 and is estimated to grow from USD 8.31 billion in 2025 to reach USD 154.84 billion by 2033, growing at a CAGR of 44.21% during the forecast period (2025–2033).
• By Technology, the market is segmented into Machine Learning, Natural Language Processing (NLP), Deep Learning, Computer Vision, and Others. The machine learning segment dominates the global market.
• By Agent System, the market is segmented into Single Agent Systems and Multi-Agent Systems. The single-agent systems segment dominates the global market.
• By Type, the market is segmented into Ready-to-Deploy Agents and Build-Your-Own Agents. The ready-to-deploy agents segment dominates the global market.
• By Application, the market is segmented into Customer Service and Virtual Assistants, Robotics and Automation, Healthcare, Financial Services, Security and Surveillance, and others. The customer service and virtual assistants segment dominates the global market.
• By End-User, the market is segmented into Consumer, Enterprise, and Industrial. The enterprise segment dominates the global market.
• North America is the highest shareholder in the global market.

Competitive Players

Alibaba Group Holding Limited

Amazon Web Services, Inc.

Apple Inc.

Baidu

Google

IBM Corporation

Meta

Microsoft

NVIDIA Corporation

Salesforce, Inc.

Anthropic

C3

CrewAI

LivePerson

Moveworks

NICE Ltd.

OpenAI

Oracle

ServiceNow

Recent Developments

• In February 2025 , GitHub launched Agent Mode for GitHub Copilot, significantly improving its AI-powered coding capabilities. The update enables Copilot to autonomously process high-level instructions, generate code spanning multiple files, detect errors, and apply fixes with minimal human guidance.

Segmentation

By Technology

Machine Learning

Natural Language Processing (NLP)

Deep Learning

Computer Vision

Others

By Agent System

Single Agent Systems

Multi-Agent Systems

By Type

Ready-to-Deploy Agents

Build-Your-Own Agents

By Application

Customer Service and Virtual Assistants

Robotics and Automation

Healthcare

Financial Services

Security and Surveillance

Gaming and Entertainment

Marketing and Sales

Human Resources

Legal and Compliance

Others

By End-User

Consumer

Enterprise

Industrial

By Regions

North America

Europe

Asia-Pacific

Latin America

The Middle East and Africa

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