AI Agents Market Forecasts to 2032 – Global Analysis By Agent Type (Single Agent Systems, Multi-Agent Systems, Vertical AI Agents and Horizontal AI Agents), Functional Role, Technology, Application and By Geography
Description
According to Stratistics MRC, the Global AI Agents Market is accounted for $7.72 billion in 2025 and is expected to reach $94.42 billion by 2032 growing at a CAGR of 43.0% during the forecast period. AI Agents are autonomous systems capable of executing tasks, making decisions, and responding to changing environments through intelligent analysis. Using machine learning, reinforcement learning, and natural language understanding, they adapt to new situations, forecast results, and streamline operations in multiple sectors. These agents function in both virtual platforms and physical applications, including automated customer support tools and industrial robots in healthcare, logistics, and finance. By mimicking human reasoning and continuously learning from experiences, AI agents improve productivity, minimize human effort, and offer scalable technological solutions. Their growing sophistication is reshaping organizational workflows, scientific research, and everyday human interactions worldwide.
According to Index.dev’s 2025 enterprise AI adoption report, 85% of organizations have integrated AI agents into their operations. These agents are not limited to chatbots—they span across domains such as sales enablement, customer support, HR automation, and IT operations.
Market Dynamics:
Driver:
Increasing demand for automation and efficiency
The market growth for AI agents is largely fueled by the rising need for automation and increased operational efficiency across sectors. Companies are adopting systems capable of handling repetitive or complex tasks autonomously, minimizing human error and saving time. AI agents optimize workflows, improve productivity, and ensure better utilization of resources. The push for cost reduction while maintaining quality standards drives organizations to integrate AI solutions. Additionally, the move toward digital transformation and smart manufacturing supports AI adoption. As enterprises seek competitive advantages and streamlined operations, AI agents are becoming critical technologies for automating tasks, accelerating decisions, and improving overall operational performance.
Restraint:
High implementation and maintenance costs
The significant expenses associated with deploying and maintaining AI agents act as a major market limitation. Implementing advanced AI solutions demands heavy investment in computing infrastructure, software platforms, and trained professionals. Continuous maintenance, updates, and optimization add to the overall operational costs. For small and medium enterprises, limited budgets hinder AI adoption, even when the benefits are substantial. Integrating AI agents into existing workflows can require additional capital, creating a barrier for many organizations. These financial constraints slow market penetration and limit the widespread use of AI agents for process automation, smart decision-making, and efficiency improvement across various sectors.
Opportunity:
Expansion in healthcare and telemedicine
Healthcare and telemedicine offer vast potential for AI agents, enabling automation of administrative tasks, appointment scheduling, patient monitoring, and diagnostic support. In virtual healthcare, AI agents facilitate seamless consultations, provide instant data analysis, and support remote monitoring of patients. The increasing need for personalized care and efficient medical services encourages adoption in hospitals, clinics, and telehealth platforms. Connecting AI agents with medical devices and electronic health records allows better data-driven decisions, improving treatment quality. The expansion of digital healthcare solutions and remote health services provides a strong growth opportunity for AI agents, allowing them to revolutionize patient care, streamline workflows, and enhance operational efficiency in the medical sector.
Threat:
Cyber security vulnerabilities and hacking risks
Cyber security risks represent a major threat to the AI agents market. Handling large volumes of sensitive data, such as personal, financial, and corporate information, exposes AI systems to potential breaches and hacking. Such incidents can harm data integrity, incur financial damage, and negatively affect brand reputation. AI agents integrated with cloud platforms or IoT devices face higher vulnerability to cyber attacks. Companies need constant investment in encryption, monitoring, and advanced security protocols to protect these systems. Failure to address security risks can undermine trust in AI technologies, slow adoption rates, and lead to regulatory or legal consequences, highlighting cyber security as a key market challenge.
Covid-19 Impact:
The COVID-19 crisis accelerated the growth of the AI agents market as industries increasingly relied on intelligent automation. Social distancing and lockdown measures prompted widespread use of AI-powered virtual assistants and customer support systems to sustain operations. In healthcare, AI agents supported telemedicine, remote monitoring, and data analysis to manage patient influx efficiently. E-commerce, logistics, and financial services also deployed AI agents to streamline processes, provide real-time insights, and minimize human dependency. The pandemic underscored the need for adaptive, intelligent systems capable of handling unforeseen disruptions. This experience strengthened the long-term market potential for AI agents, emphasizing their importance in ensuring business resilience and continuity.
The multi-agent systems segment is expected to be the largest during the forecast period
The multi-agent systems segment is expected to account for the largest market share during the forecast period owing to its ability to coordinate several intelligent agents for efficient task execution. These systems facilitate communication, collaboration, and data sharing among agents, supporting complex, large-scale applications across sectors such as healthcare, logistics, finance, and manufacturing. Their flexibility and scalability enable distributed problem-solving and improved decision-making in dynamic scenarios. Compared to single-agent systems, multi-agent setups are preferred for handling multiple tasks simultaneously, optimizing resources, and adapting to evolving environments. The increasing need for collaborative automation and intelligent operational solutions underpins the dominant market position of multi-agent systems, highlighting their strategic importance for businesses.
The natural language processing (NLP) segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the natural language processing (NLP) segment is predicted to witness the highest growth rate, driven by the need for more effective human-machine interaction. NLP allows AI agents to comprehend, process, and respond to natural language, supporting applications like virtual assistants, chatbots, and automated customer support. Widespread adoption of voice- and text-based AI solutions in industries such as healthcare, finance, retail, and e-commerce fuels this growth. Advancements in NLP algorithms, combined with machine learning integration, improve contextual understanding and response accuracy. With increasing emphasis on conversational AI, personalized user experiences, and automated communication, NLP stands out as the segment experiencing the highest CAGR in the AI agents market.
Region with largest share:
During the forecast period, the North America region is expected to hold the largest market share due to its advanced technology landscape, early adoption of AI solutions, and significant investment in R&D. The region’s strong IT infrastructure, numerous AI startups, and established enterprises support rapid deployment of AI agents across sectors like healthcare, finance, retail, and logistics. Government programs encouraging AI research, along with high consumer acceptance of intelligent systems, further drive growth. Access to skilled talent and advanced computing resources ensures efficient implementation of AI agents. These factors collectively position North America as the dominant region in the AI agents market, serving as a center for innovation, technological advancement, and widespread AI adoption.
Region with highest CAGR:
Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR due to rapid technological adoption, digital transformation, and government support in countries like China, India, and Japan. Expanding AI-focused startups, growing R&D investments, and rising automation demand across healthcare, manufacturing, retail, and logistics sectors drive market growth. Increased internet access, smartphone usage, and cloud infrastructure enable widespread deployment of AI agents in diverse settings. Companies are adopting AI solutions to improve efficiency, customer service, and informed decision-making. These factors make Asia Pacific the fastest-growing region, highlighting its significant potential and emerging role in shaping the global AI agents market.
Key players in the market
Some of the key players in AI Agents Market include Google, Amelia, IBM, OpenAI, Amazon Web Services (AWS), Microsoft, Oracle, NVIDIA, Salesforce, Anthropic, Zendesk, Alibaba Group Holding Limited, Baidu, Cognizant and Infosys.
Key Developments:
In November 2025, IBM and AICTE have signed an agreement to Start Artificial Intelligence Lab in India. This initiative has been launched with the aim of training students and faculty in Artificial Intelligence, Data Science and next-generation technologies in technical institutions across the country, thereby strengthening India's path towards building a future-ready digital workforce.
In October 2025, Google Cloud and Adobe announced an expanded strategic partnership to deliver the next generation of AI-powered creative technologies. The partnership brings together Adobe’s decades of creative expertise with Google’s advanced AI models—including Gemini, Veo, and Imagen—to usher in a new era of creative expression.
In June 2025, Amelia and Embraer has signed an extensive services agreement, including the Pool Program for the E-Jets family and support for the ERJ and E-Jets aircraft in the airline’s fleet. Recently, Amelia announced it is joining the E-Jets family, with two E190 jets leased from CDB Aviation.
Agent Types Covered:
• Single Agent Systems
• Multi-Agent Systems
• Vertical AI Agents
• Horizontal AI Agents
Functional Roles Covered:
• Personal Productivity Agents
• Sales Enablement Agents
• Marketing Automation Agents
• Code Generation Agents
• Operations & Supply Chain Agents
• Customer Support Agents
Technologies Covered:
• Machine Learning (ML)
• Natural Language Processing (NLP)
• Computer Vision
• Speech Recognition
• Reinforcement Learning
Applications Covered:
• Healthcare
• BFSI (Banking, Financial Services, Insurance)
• Retail & E-commerce
• Manufacturing
• Automotive
• Telecom & IT
• Education
• Energy & Utilities
Regions Covered:
• North America
US
Canada
Mexico
• Europe
Germany
UK
Italy
France
Spain
Rest of Europe
• Asia Pacific
Japan
China
India
Australia
New Zealand
South Korea
Rest of Asia Pacific
• South America
Argentina
Brazil
Chile
Rest of South America
• Middle East & Africa
Saudi Arabia
UAE
Qatar
South Africa
Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
According to Index.dev’s 2025 enterprise AI adoption report, 85% of organizations have integrated AI agents into their operations. These agents are not limited to chatbots—they span across domains such as sales enablement, customer support, HR automation, and IT operations.
Market Dynamics:
Driver:
Increasing demand for automation and efficiency
The market growth for AI agents is largely fueled by the rising need for automation and increased operational efficiency across sectors. Companies are adopting systems capable of handling repetitive or complex tasks autonomously, minimizing human error and saving time. AI agents optimize workflows, improve productivity, and ensure better utilization of resources. The push for cost reduction while maintaining quality standards drives organizations to integrate AI solutions. Additionally, the move toward digital transformation and smart manufacturing supports AI adoption. As enterprises seek competitive advantages and streamlined operations, AI agents are becoming critical technologies for automating tasks, accelerating decisions, and improving overall operational performance.
Restraint:
High implementation and maintenance costs
The significant expenses associated with deploying and maintaining AI agents act as a major market limitation. Implementing advanced AI solutions demands heavy investment in computing infrastructure, software platforms, and trained professionals. Continuous maintenance, updates, and optimization add to the overall operational costs. For small and medium enterprises, limited budgets hinder AI adoption, even when the benefits are substantial. Integrating AI agents into existing workflows can require additional capital, creating a barrier for many organizations. These financial constraints slow market penetration and limit the widespread use of AI agents for process automation, smart decision-making, and efficiency improvement across various sectors.
Opportunity:
Expansion in healthcare and telemedicine
Healthcare and telemedicine offer vast potential for AI agents, enabling automation of administrative tasks, appointment scheduling, patient monitoring, and diagnostic support. In virtual healthcare, AI agents facilitate seamless consultations, provide instant data analysis, and support remote monitoring of patients. The increasing need for personalized care and efficient medical services encourages adoption in hospitals, clinics, and telehealth platforms. Connecting AI agents with medical devices and electronic health records allows better data-driven decisions, improving treatment quality. The expansion of digital healthcare solutions and remote health services provides a strong growth opportunity for AI agents, allowing them to revolutionize patient care, streamline workflows, and enhance operational efficiency in the medical sector.
Threat:
Cyber security vulnerabilities and hacking risks
Cyber security risks represent a major threat to the AI agents market. Handling large volumes of sensitive data, such as personal, financial, and corporate information, exposes AI systems to potential breaches and hacking. Such incidents can harm data integrity, incur financial damage, and negatively affect brand reputation. AI agents integrated with cloud platforms or IoT devices face higher vulnerability to cyber attacks. Companies need constant investment in encryption, monitoring, and advanced security protocols to protect these systems. Failure to address security risks can undermine trust in AI technologies, slow adoption rates, and lead to regulatory or legal consequences, highlighting cyber security as a key market challenge.
Covid-19 Impact:
The COVID-19 crisis accelerated the growth of the AI agents market as industries increasingly relied on intelligent automation. Social distancing and lockdown measures prompted widespread use of AI-powered virtual assistants and customer support systems to sustain operations. In healthcare, AI agents supported telemedicine, remote monitoring, and data analysis to manage patient influx efficiently. E-commerce, logistics, and financial services also deployed AI agents to streamline processes, provide real-time insights, and minimize human dependency. The pandemic underscored the need for adaptive, intelligent systems capable of handling unforeseen disruptions. This experience strengthened the long-term market potential for AI agents, emphasizing their importance in ensuring business resilience and continuity.
The multi-agent systems segment is expected to be the largest during the forecast period
The multi-agent systems segment is expected to account for the largest market share during the forecast period owing to its ability to coordinate several intelligent agents for efficient task execution. These systems facilitate communication, collaboration, and data sharing among agents, supporting complex, large-scale applications across sectors such as healthcare, logistics, finance, and manufacturing. Their flexibility and scalability enable distributed problem-solving and improved decision-making in dynamic scenarios. Compared to single-agent systems, multi-agent setups are preferred for handling multiple tasks simultaneously, optimizing resources, and adapting to evolving environments. The increasing need for collaborative automation and intelligent operational solutions underpins the dominant market position of multi-agent systems, highlighting their strategic importance for businesses.
The natural language processing (NLP) segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the natural language processing (NLP) segment is predicted to witness the highest growth rate, driven by the need for more effective human-machine interaction. NLP allows AI agents to comprehend, process, and respond to natural language, supporting applications like virtual assistants, chatbots, and automated customer support. Widespread adoption of voice- and text-based AI solutions in industries such as healthcare, finance, retail, and e-commerce fuels this growth. Advancements in NLP algorithms, combined with machine learning integration, improve contextual understanding and response accuracy. With increasing emphasis on conversational AI, personalized user experiences, and automated communication, NLP stands out as the segment experiencing the highest CAGR in the AI agents market.
Region with largest share:
During the forecast period, the North America region is expected to hold the largest market share due to its advanced technology landscape, early adoption of AI solutions, and significant investment in R&D. The region’s strong IT infrastructure, numerous AI startups, and established enterprises support rapid deployment of AI agents across sectors like healthcare, finance, retail, and logistics. Government programs encouraging AI research, along with high consumer acceptance of intelligent systems, further drive growth. Access to skilled talent and advanced computing resources ensures efficient implementation of AI agents. These factors collectively position North America as the dominant region in the AI agents market, serving as a center for innovation, technological advancement, and widespread AI adoption.
Region with highest CAGR:
Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR due to rapid technological adoption, digital transformation, and government support in countries like China, India, and Japan. Expanding AI-focused startups, growing R&D investments, and rising automation demand across healthcare, manufacturing, retail, and logistics sectors drive market growth. Increased internet access, smartphone usage, and cloud infrastructure enable widespread deployment of AI agents in diverse settings. Companies are adopting AI solutions to improve efficiency, customer service, and informed decision-making. These factors make Asia Pacific the fastest-growing region, highlighting its significant potential and emerging role in shaping the global AI agents market.
Key players in the market
Some of the key players in AI Agents Market include Google, Amelia, IBM, OpenAI, Amazon Web Services (AWS), Microsoft, Oracle, NVIDIA, Salesforce, Anthropic, Zendesk, Alibaba Group Holding Limited, Baidu, Cognizant and Infosys.
Key Developments:
In November 2025, IBM and AICTE have signed an agreement to Start Artificial Intelligence Lab in India. This initiative has been launched with the aim of training students and faculty in Artificial Intelligence, Data Science and next-generation technologies in technical institutions across the country, thereby strengthening India's path towards building a future-ready digital workforce.
In October 2025, Google Cloud and Adobe announced an expanded strategic partnership to deliver the next generation of AI-powered creative technologies. The partnership brings together Adobe’s decades of creative expertise with Google’s advanced AI models—including Gemini, Veo, and Imagen—to usher in a new era of creative expression.
In June 2025, Amelia and Embraer has signed an extensive services agreement, including the Pool Program for the E-Jets family and support for the ERJ and E-Jets aircraft in the airline’s fleet. Recently, Amelia announced it is joining the E-Jets family, with two E190 jets leased from CDB Aviation.
Agent Types Covered:
• Single Agent Systems
• Multi-Agent Systems
• Vertical AI Agents
• Horizontal AI Agents
Functional Roles Covered:
• Personal Productivity Agents
• Sales Enablement Agents
• Marketing Automation Agents
• Code Generation Agents
• Operations & Supply Chain Agents
• Customer Support Agents
Technologies Covered:
• Machine Learning (ML)
• Natural Language Processing (NLP)
• Computer Vision
• Speech Recognition
• Reinforcement Learning
Applications Covered:
• Healthcare
• BFSI (Banking, Financial Services, Insurance)
• Retail & E-commerce
• Manufacturing
• Automotive
• Telecom & IT
• Education
• Energy & Utilities
Regions Covered:
• North America
US
Canada
Mexico
• Europe
Germany
UK
Italy
France
Spain
Rest of Europe
• Asia Pacific
Japan
China
India
Australia
New Zealand
South Korea
Rest of Asia Pacific
• South America
Argentina
Brazil
Chile
Rest of South America
• Middle East & Africa
Saudi Arabia
UAE
Qatar
South Africa
Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
Table of Contents
200 Pages
- 1 Executive Summary
- 2 Preface
- 2.1 Abstract
- 2.2 Stake Holders
- 2.3 Research Scope
- 2.4 Research Methodology
- 2.4.1 Data Mining
- 2.4.2 Data Analysis
- 2.4.3 Data Validation
- 2.4.4 Research Approach
- 2.5 Research Sources
- 2.5.1 Primary Research Sources
- 2.5.2 Secondary Research Sources
- 2.5.3 Assumptions
- 3 Market Trend Analysis
- 3.1 Introduction
- 3.2 Drivers
- 3.3 Restraints
- 3.4 Opportunities
- 3.5 Threats
- 3.6 Technology Analysis
- 3.7 Application Analysis
- 3.8 Emerging Markets
- 3.9 Impact of Covid-19
- 4 Porters Five Force Analysis
- 4.1 Bargaining power of suppliers
- 4.2 Bargaining power of buyers
- 4.3 Threat of substitutes
- 4.4 Threat of new entrants
- 4.5 Competitive rivalry
- 5 Global AI Agents Market, By Agent Type
- 5.1 Introduction
- 5.2 Single Agent Systems
- 5.3 Multi-Agent Systems
- 5.4 Vertical AI Agents
- 5.5 Horizontal AI Agents
- 6 Global AI Agents Market, By Functional Role
- 6.1 Introduction
- 6.2 Personal Productivity Agents
- 6.3 Sales Enablement Agents
- 6.4 Marketing Automation Agents
- 6.5 Code Generation Agents
- 6.6 Operations & Supply Chain Agents
- 6.7 Customer Support Agents
- 7 Global AI Agents Market, By Technology
- 7.1 Introduction
- 7.2 Machine Learning (ML)
- 7.3 Natural Language Processing (NLP)
- 7.4 Computer Vision
- 7.5 Speech Recognition
- 7.6 Reinforcement Learning
- 8 Global AI Agents Market, By Application
- 8.1 Introduction
- 8.2 Healthcare
- 8.3 BFSI (Banking, Financial Services, Insurance)
- 8.4 Retail & E-commerce
- 8.5 Manufacturing
- 8.6 Automotive
- 8.7 Telecom & IT
- 8.8 Education
- 8.9 Energy & Utilities
- 9 Global AI Agents Market, By Geography
- 9.1 Introduction
- 9.2 North America
- 9.2.1 US
- 9.2.2 Canada
- 9.2.3 Mexico
- 9.3 Europe
- 9.3.1 Germany
- 9.3.2 UK
- 9.3.3 Italy
- 9.3.4 France
- 9.3.5 Spain
- 9.3.6 Rest of Europe
- 9.4 Asia Pacific
- 9.4.1 Japan
- 9.4.2 China
- 9.4.3 India
- 9.4.4 Australia
- 9.4.5 New Zealand
- 9.4.6 South Korea
- 9.4.7 Rest of Asia Pacific
- 9.5 South America
- 9.5.1 Argentina
- 9.5.2 Brazil
- 9.5.3 Chile
- 9.5.4 Rest of South America
- 9.6 Middle East & Africa
- 9.6.1 Saudi Arabia
- 9.6.2 UAE
- 9.6.3 Qatar
- 9.6.4 South Africa
- 9.6.5 Rest of Middle East & Africa
- 10 Key Developments
- 10.1 Agreements, Partnerships, Collaborations and Joint Ventures
- 10.2 Acquisitions & Mergers
- 10.3 New Product Launch
- 10.4 Expansions
- 10.5 Other Key Strategies
- 11 Company Profiling
- 11.1 Google
- 11.2 Amelia
- 11.3 IBM
- 11.4 OpenAI
- 11.5 Amazon Web Services (AWS)
- 11.6 Microsoft
- 11.7 Oracle
- 11.8 NVIDIA
- 11.9 Salesforce
- 11.10 Anthropic
- 11.11 Zendesk
- 11.12 Alibaba Group Holding Limited
- 11.13 Baidu
- 11.14 Cognizant
- 11.15 Infosys
- List of Tables
- Table 1 Global AI Agents Market Outlook, By Region (2024-2032) ($MN)
- Table 2 Global AI Agents Market Outlook, By Agent Type (2024-2032) ($MN)
- Table 3 Global AI Agents Market Outlook, By Single Agent Systems (2024-2032) ($MN)
- Table 4 Global AI Agents Market Outlook, By Multi-Agent Systems (2024-2032) ($MN)
- Table 5 Global AI Agents Market Outlook, By Vertical AI Agents (2024-2032) ($MN)
- Table 6 Global AI Agents Market Outlook, By Horizontal AI Agents (2024-2032) ($MN)
- Table 7 Global AI Agents Market Outlook, By Functional Role (2024-2032) ($MN)
- Table 8 Global AI Agents Market Outlook, By Personal Productivity Agents (2024-2032) ($MN)
- Table 9 Global AI Agents Market Outlook, By Sales Enablement Agents (2024-2032) ($MN)
- Table 10 Global AI Agents Market Outlook, By Marketing Automation Agents (2024-2032) ($MN)
- Table 11 Global AI Agents Market Outlook, By Code Generation Agents (2024-2032) ($MN)
- Table 12 Global AI Agents Market Outlook, By Operations & Supply Chain Agents (2024-2032) ($MN)
- Table 13 Global AI Agents Market Outlook, By Customer Support Agents (2024-2032) ($MN)
- Table 14 Global AI Agents Market Outlook, By Technology (2024-2032) ($MN)
- Table 15 Global AI Agents Market Outlook, By Machine Learning (ML) (2024-2032) ($MN)
- Table 16 Global AI Agents Market Outlook, By Natural Language Processing (NLP) (2024-2032) ($MN)
- Table 17 Global AI Agents Market Outlook, By Computer Vision (2024-2032) ($MN)
- Table 18 Global AI Agents Market Outlook, By Speech Recognition (2024-2032) ($MN)
- Table 19 Global AI Agents Market Outlook, By Reinforcement Learning (2024-2032) ($MN)
- Table 20 Global AI Agents Market Outlook, By Application (2024-2032) ($MN)
- Table 21 Global AI Agents Market Outlook, By Healthcare (2024-2032) ($MN)
- Table 22 Global AI Agents Market Outlook, By BFSI (Banking, Financial Services, Insurance) (2024-2032) ($MN)
- Table 23 Global AI Agents Market Outlook, By Retail & E-commerce (2024-2032) ($MN)
- Table 24 Global AI Agents Market Outlook, By Manufacturing (2024-2032) ($MN)
- Table 25 Global AI Agents Market Outlook, By Automotive (2024-2032) ($MN)
- Table 26 Global AI Agents Market Outlook, By Telecom & IT (2024-2032) ($MN)
- Table 27 Global AI Agents Market Outlook, By Education (2024-2032) ($MN)
- Table 28 Global AI Agents Market Outlook, By Energy & Utilities (2024-2032) ($MN)
- Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
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