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AI Agents Market

Report Code TC 9168
Published in Apr, 2025, By MarketsandMarkets™
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AI Agents Market by Agent Role (Productivity & Personal Assistant, Sales, Marketing, Code Generation, Operations & Supply Chain), Offering (Vertical AI Agents, Horizontal AI Agents), Agent System (Single Agent, Multi Agent) - Global Forecast to 2030

US Tariff Impact on AI Agents Market

Trump Tariffs Are Reshaping Global Business

 

Overview

The AI agents market is projected to grow from USD 7.84 billion in 2025 to USD 52.62 billion by 2030 at a CAGR of 46.3% during the forecast period. This rapid growth is fueled by the increasing role of foundational models in improving AI agents. The integration of foundation models grants these AI agents the ability to autonomously carry out intricate, multi-step tasks well beyond the capabilities of traditional, rule-based bots. For example, firms such as Cognosys and Adept are implementing agentic systems that utilize large language models to streamline processes like invoice reconciliation or SOC alert triage, reducing manual labor by more than 60%. The shift toward autonomous agents is also accelerated by rising demand for copilots in CRM, ERP, and developer tools, with vendors like Microsoft embedding agents into Dynamics 365 and GitHub. The market expansion is also boosted by industry-specific adoption in sectors like healthcare, retail, and finance, where agents can tailor interactions, shorten response times, and handle intricate regulatory processes.

AI agents are software programs that perform tasks or make decisions based on input data. Utilizing technologies like natural language processing, machine learning, and computer vision, these agents operate in defined environments, interacting with users and systems to achieve specific goals. They range from fully autonomous systems to semi-autonomous ones that require occasional guidance and are commonly used in customer service, backend automation, and decision-making support.

AI Agents Market

Attractive Opportunities in the AI Agents Market

NORTH AMERICA

The AI agents market in North America is experiencing notable growth, driven by the adoption of these technologies to improve efficiency and customer engagement. Advances in machine learning and natural language processing are enhancing the sophistication of AI agents, allowing them to provide more personalized and intelligent solutions. The market remains competitive, with both established companies and startups driving continuous innovation.

In North America, there is a growing adoption of AI agents in customer service across industries. Companies are increasingly utilizing AI agents to handle customer inquiries, provide real-time support, and manage routine interactions, which enhances customer satisfaction while reducing the burden on human service representatives.

Partnerships, collaborations, and product launches would offer lucrative opportunities for market players in the next five years. Agent roles across sales, marketing, customer support & service, and coding & software development are likely to become hot bets.

A key trend is the growing use of AI agents to automate routine tasks and optimize workflows. Businesses are increasingly deploying these agents to handle tasks like data entry and scheduling, allowing employees to focus on higher-value activities.

With NLP becoming more refined, AI agents are now able to understand and respond to human language with greater accuracy and context awareness. This trend is enabling more effective customer service solutions, where AI agents can handle complex queries and maintain human-like conversations.

Impact of AI on AI Agents Market

ENHANCED COMMUNICATION & INTERACTION

Generative AI empowers AI agents to engage in more natural and human-like conversations, significantly improving communication quality.

PERSONALIZED EXPERIENCES

AI agents use generative AI to deliver highly tailored experiences, enhancing user satisfaction and engagement.

AUTOMATED CONTENT GENERATION

Generative AI allows AI agents to produce diverse, high-quality content autonomously, streamlining content creation processes.

CREATIVE & DESIGN ASSISTANCE

Generative AI supports AI agents in creative tasks and design prototyping, accelerating product development.

REAL-TIME DECISION SUPPORT

AI agents leverage generative AI to provide more informed and timely decision-making support in dynamic environments.

WORKFLOW AUTOMATION

Generative AI allows AI agents to automate repetitive tasks, improving efficiency and freeing up human resources for higher-value work.

AI Agents Market Impact

Global AI Agents Market Dynamics

Driver: Increasing integration of AI agents with enterprise-level automation tools

The integration of AI agents with large-scale automation tools has emerged as a significant force in the AI agents market, significantly improving enterprise functionalities across various operational areas. By utilizing AI agents, companies can streamline a range of intricate processes and minimize manual involvement to reduce the risk of human error. For example, in banking services, AI agents integrated into the automation platform perform tasks ranging from fraud detection to customer support and compliance monitoring in real-time. According to MnM’s estimation, productivity could rise by 20-30% through automation driven by AI, where the major part of such changes would be played by AI agents. The leading companies in this area, like UiPath and Blue Prism, have begun to incorporate AI capabilities into their RPA tools so that automation projects can be extended across business boundaries without any disruption. This move will not only cut down on OPEX but also improve decision-making through real-time data analysis provided by these AI agents. As enterprise AI adoption accelerates, AI agents are expected to become core components of digital transformation strategies, replacing static scripts with autonomous, adaptive agents that drive value across departments.

Restraint: High implementation costs restricting access to advanced AI agent solutions

The widespread use of AI agents is hindered by issues related to data privacy and compliance concerns despite their significant potential. AI agents fundamentally require access to substantial amounts of data to operate effectively, a portion of which could be private or sensitive. The utilization of such information is under tight scrutiny as per legislation, including the GDPR (General Data Protection Regulation) within the European Union and the Health Insurance Portability and Accountability Act (HIPAA) in the US, which put conditions on the way data should be collected, stored, and manipulated. As per industry estimates, nearly 60% of companies expressed concerns over deploying AI agents because they do not want to risk noncompliance that might lead to huge fines or even legal complications. For global organizations that operate across multiple jurisdictions, this constraint becomes particularly difficult since it makes it almost impossible for them to scale up AI agent deployment activities due to a variety of contradictory statutory provisions. To address this, some vendors are now embedding privacy-by-design principles into AI agent architecture. Others are focusing on federated learning and synthetic data to reduce dependency on sensitive data sets.

 

Opportunity: Emergence of vertical AI agents tailored for niche business roles

A specific growth opportunity in the AI agents market is found in the expanding field of specialized virtual assistants designed for niche industries. Unlike their generic counterparts (horizontal agents), these special agents are created to satisfy the unique requirements of such industries as legal, healthcare, or finance. For instance, in the legal sector, AI agents are being trained for document drafting, research, and compliance monitoring, thereby significantly reducing the workloads of lawyers. MarketsandMarkets estimates that the market for industry-specific AI solutions will grow at a CAGR of nearly 35% over the next five years, driven by demand for specialized AI tools. This growth is supported by the trend of “hyper-personalization,” where AI assistants are tailored to individual user preferences and skills. Vendors who can create and deliver these specialized intelligent agents will gain a competitive edge, as these systems are integrated into various business functions. Additionally, vertical AI agents create higher barriers to entry, favoring those with proprietary datasets and domain expertise. As a result, early movers in niche verticals are likely to build strong competitive advantages.

Challenge: Enhancing contextual understanding of AI agents

AI agents excel when working with structured data and straightforward questions. However, they struggle with understanding complex inputs or engaging in conversations. This challenge is particularly evident when it comes to recognizing sarcasm, idioms, cultural references, and managing multi-turn dialogues. As a result, the contextual understanding of the agent is insufficient, so responses that simply do not address the question or do not meet the expectations are provided, lowering user satisfaction. Working toward improving this challenge requires continuous progress in contextual memory capabilities, fine-tuning models, and understanding natural language (NLU).

Several vendors are now experimenting with lightweight memory architectures that help retain conversational context without inflating model size. Others are leveraging reinforcement learning from human feedback (RLHF) to improve the nuance and quality of multi-turn interactions. Despite these advancements, the gap between human-like understanding and machine-generated responses remains significant. Until these models demonstrate consistent, contextual accuracy, their enterprise application in complex workflows will remain limited. Bridging this gap is likely to be one of the defining technical challenges in the next wave of AI agent development.

Global AI Agents Market Ecosystem Analysis

The AI agent ecosystem spans diverse functions, reflecting its deep integration across industries. In Productivity and Sales, AI tools like Grammarly and HubSpot optimize creativity, workflow, and lead generation. Marketing leverages AI for SEO, campaign management, and personalized experiences through tools like Surfer and Albert. Customer Support harnesses chatbots like Ada and sentiment analysis with Observe-AI. Legal sectors benefit from AI in research (Harvey) and compliance (LexCheck). Product Management employs AI for automation and resource allocation, while Coding tools enhance software development with debugging and CI/CD. In Business Intelligence, data analytics and forecasting dominate, complemented by AI-driven fraud detection in Finance.

Top Companies in AI Agents Market

Note: The above diagram only shows the representation of the AI Agents Market ecosystem; it is not limited to the companies represented above.
Source: Secondary Research and MarketsandMarkets Analysis

 

By offering, vertical AI agents segment to experience the fastest growth between 2025 and 2030

By offering, vertical AI agents are slated for rapid growth during the forecast period, owing to their specialized design aimed at meeting the distinct requirements, processes, and regulatory frameworks of specific sectors. While horizontal AI agents are primarily designed for broad tasks like email summarizing and scheduling across multiple fields, vertical AI agents are engineered to function with specific data and terminology from particular industries, providing greater accuracy, relevance, and actionable insights. For example, in the healthcare industry, AI agents with knowledge of clinical information can assist in patient triage, diagnosis, and documentation while adhering to HIPAA regulations. On the other hand, a generic horizontal AI agent would not be capable of managing medical terminology or regulatory complexity. The same applies to the finance, legal, and manufacturing sectors, where domain knowledge, precision, and compliance are critical. Additionally, vertical AI agents promise quicker returns on value, as they can seamlessly integrate into current enterprise systems without extensive modifications. Their demand is further intensified by the growing accessibility of proprietary datasets and the emergence of industry collaborations aimed at jointly developing customized AI models.

By agent role, coding & software development agents segment to register substantial CAGR during the forecast period

Coding and software development agents are facing an uptick in their adoption as they are able to simplify the development process, increase productivity, and reduce time to market. These AI-based agents can create code automatically, debug problems, and suggest improvements, thus enabling developers to concentrate on more intricate and imaginative tasks. For instance, GitHub Copilot uses AI to recommend sectional codes as well as complete lines of code that its users input, thereby substantially hastening programming speed. Similarly, platforms like DeepCode provide instant code checks and make suggestions, reducing the chances of having bugs in the code while also improving code quality. This has created a high demand for these agents in different industries where software development has become a rapid cycle with shorter time spans. Coding agents not only speed up the development processes but also make coding simpler for beginners, ensuring wider participation in creating programs to be employed across diverse sectors. Looking ahead, the integration of coding agents into DevOps pipelines and low-code/no-code platforms is expected to further expand their utility. This evolution will make AI agents indispensable in agile development environments and cross-functional software teams.

By region, Asia Pacific to experience the fastest growth rate during the forecast period

The Asia Pacific AI agents market is rapidly growing due to technological advancements, digital transformation initiatives, and increased R&D spending by both private and public sectors. China, Japan, and South Korea are leading in the adoption of AI agents across various industries.

For example, Ping An Insurance in China uses AI agents in customer service to handle over 60% of inquiries, improving response times and customer satisfaction. In Japan, Mitsubishi UFJ Financial Group (MUFG) streamlines loan approvals and fraud detection with AI agents, enhancing banking efficiency and security. South Korea employs AI agents in smart city projects for traffic management and crime prevention, showcasing a commitment to integrating AI into urban infrastructure. Additionally, Singapore's government promotes AI use, including implementing AI agents in healthcare for diagnosis and patient management.

FASTEST GROWING REGION OVER THE FORECAST PERIOD
INDIA FASTEST-GROWING MARKET IN REGION
AI Agents Market by region

Recent Developments of AI Agents Market

  • In April 2025, Google introduced the code customization feature for chat in VS Code and IntelliJ Gemini Code Assist. This feature enables developers to receive contextually relevant code suggestions and insights directly within the Gemini Code Assist chat interface of their IDEs. No additional configuration is required to use this functionality, simplifying the integration process. Developers can leverage this feature to enhance coding efficiency and streamline workflows.
  • In February 20245, Salesforce expanded its partnership with Google to offer businesses more choice and flexibility in building AI-powered agents. Salesforce's Agentforce will integrate with Google's Gemini models, allowing agents to process images, audio, and video, leveraging Gemini's multimodal capabilities and real-time insights from Google Search via Vertex AI. The collaboration aims to enhance AI-driven customer service with real-time voice translation, intelligent agent handoffs, and AI-driven conversational insights.
  • In January 2025, NVIDIA released new AI Blueprints, which allow enterprises to build agentic AI applications capable of performing multi-level task executions. Such focus enables developers to create custom AI "knowledge robots" that can understand and analyze data from video and PDF formats, among others. Major partners such as CrewAI, Daily, LangChain, LlamaIndex, and Weights & Biases worked with NVIDIA to further orchestrate their tools within the NVIDIA AI Enterprise platform, assisting the development of agentic AI across many enterprises.
  • In January 2025, OpenAI launched ChatGPT Gov, aimed at US government agencies. This specialized version of ChatGPT offers secure and compliant access to GPT-4 models via Microsoft Azure Government. It is designed for use cases such as document summarization, data analysis, and customer interaction in highly regulated environments.

Key Market Players

List of Top AI Agents Market Companies

The AI Agents Market is dominated by a few major players that have a wide regional presence. The major players in the AI Agents Market are

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Scope of the Report

Report Attribute Details
Market size available for years 2020–2030
Base year considered 2024
Forecast period 2025–2030
Forecast units USD (Million)
Segments Covered Offering, Agent System, Product Type, Agent Role, End User, and Region
Regions covered North America, Europe, Asia Pacific, Middle East & Africa, and Latin America

Key Questions Addressed by the Report

What are AI agents?
AI agents are software entities that autonomously or semi-autonomously execute tasks and make decisions, leveraging machine learning, NLP, and other AI technologies. They operate within specific environments, interfacing with users, systems, or other agents, and are characterized by their capacity for adaptive learning, context-aware processing, and autonomous function across varied applications.
What is the total CAGR expected to be recorded for the AI agents market during 2025-2030?
The AI agents market is expected to record a CAGR of 46.3% from 2025-2030.
How are generative AI and cybersecurity amalgamating into a converged technology?
Generative AI is revolutionizing the AI agents market by significantly enhancing their ability to create, adapt, and respond in more human-like and contextually nuanced ways. Integrating generative models like GPT-4/4o allows AI agents to engage in more natural and dynamic interactions, whether it is crafting personalized customer service responses, generating content, or even writing complex code. This capability is expanding the applications of AI agents across industries, making them more versatile and effective, and driving their adoption as they can now offer more sophisticated, tailored solutions that were previously beyond the reach of traditional AI agents?.
Which are the key drivers supporting the growth of the AI agents market?
The key factors driving the growth of the AI agents market include the accelerated development of natural language processing (NLP) technologies enhancing AI agents’ understanding and interaction capabilities, demand for hyper-personalized digital experiences driving higher adoption of AI agents in customer-facing roles, and the integration of AI agents into enterprise business process automation to improve operational efficiency and reducing costs.
Which are the top end users prevailing in the AI agents market?
The leading enterprise end users in the AI agents market include BFSI, healthcare & life sciences, and professional service providers.
Who are the key vendors in the AI agents market?
Some major players in the AI agents market include Microsoft (US), IBM (US), Google (US), Oracle (US), AWS (US), NVIDIA (US), Meta (US), Salesforce (US), OpenAI (US), LivePerson (US), Tempus AI (US), Kore.ai (US), LeewayHertz (US), CS DISCO (US), Aerogility (UK), GupShup (US), HireVue (US), Helpshift (US), Fluid AI (India), Amelia (US), Irisity (Sweden), Cogito (US), SmartAction (US), Cognosys (Canada), Aisera (US), Markovate (US), Rasa (US), Stability AI (UK), Infinitus Systems (US), Sierra (US), Level AI (US), Sybill (US), Truva (US), Leena AI (US), Tars (US), Talkie.ai (US), HeyMilo AI (US), CUJO AI (US), K Health (US), Locale.ai (US), Newo.ai (US), Beam AI (US), and Cognigy (Germany), CausaLens (UK), Krisp (US), Relevance AI (Australia), Spell (Germany), BlueJ (US), Luminance (UK), LawGeex (US) and Tovie AI (UK).

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Table of Contents

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TITLE
PAGE NO
INTRODUCTION
1
  • 1.1 OBJECTIVES OF THE STUDY
  • 1.2 MARKET DEFINITION
    INCLUSIONS AND EXCLUSIONS
  • 1.3 MARKET SCOPE
    MARKET SEGMENTATION
    REGIONS COVERED
    YEARS CONSIDERED FOR THE STUDY
  • 1.4 CURRENCY CONSIDERED
  • 1.5 STAKEHOLDERS
  • 1.6 SUMMARY OF CHANGES
RESEARCH METHODOLOGY
5
  • 2.1 RESEARCH DATA
    SECONDARY DATA
    PRIMARY DATA
    - BREAKUP OF PRIMARY PROFILES
    - KEY INDUSTRY INSIGHTS
  • 2.2 MARKET BREAKUP AND DATA TRIANGULATION
  • 2.3 MARKET SIZE ESTIMATION
    TOP-DOWN APPROACH
    BOTTOM-UP APPROACH
  • 2.4 MARKET FORECAST
  • 2.5 ASSUMPTIONS FOR THE STUDY
  • 2.6 LIMITATIONS OF THE STUDY
EXECUTIVE SUMMARY
3
PREMIUM INSIGHTS
4
  • 4.1 ATTRACTIVE OPPORTUNITIES IN THE GLOBAL AI AGENTS MARKET
  • 4.2 MARKET, BY OFFERING, 2025 VS. 2030
  • 4.3 MARKET, BY AGENT SYSTEM, 2025 VS. 2030
  • 4.4 MARKET, BY PRODUCT TYPE, 2025 VS. 2030
  • 4.5 MARKET, BY AGENT ROLE, 2025 VS. 2030
  • 4.6 MARKET, BY END USER, 2025 VS. 2030
  • 4.7 AI AGENTS MARKET, BY REGION, 2025
MARKET OVERVIEW
5
  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    DRIVERS
    RESTRAINTS
    OPPORTUNITIES
    CHALLENGES
  • 5.3 EVOLUTION OF AI AGENTS
  • 5.4 SUPPLY CHAIN ANALYSIS
  • 5.5 ECOSYSTEM ANALYSIS
  • 5.6 INVESTMENT LANDSCAPE AND FUNDING SCENARIO
  • 5.7 CASE STUDY ANALYSIS
    CASE STUDY 1
    CASE STUDY 2
    CASE STUDY 3
  • 5.8 TECHNOLOGY ANALYSIS
    KEY TECHNOLOGIES
    - OPTIMIZATION ALGORITHMS
    - PROBABILISTIC ALGORITHMS
    - PLANNING AND SEARCH ALGORITHMS
    - TENSORFLOW
    - PYTORCH
    - APACHE KAFKA
    - LLM ROUTING
    - AI AGENT MEMORY
    COMPLEMENTARY TECHNOLOGIES
    - API AND MICROSERVICES
    - EDGE COMPUTING
    - GEOSPATIAL ANALYTICS
    - QUANTIZATION AND MODEL OPTIMIZATION
    ADJACENT TECHNOLOGIES
    - MULTIMODAL AI
    - RESPONSIBLE AI
    - BLOCKCHAIN
    - 5G AND ADVANCED CONNECTIVITY
  • 5.9 REGULATORY LANDSCAPE
    REGULATORY BODIES, GOVERNMENT AGENCIES AND OTHER ORGANIZATIONS
    KEY REGULATIONS
    - NORTH AMERICA
    - EUROPE
    - ASIA PACIFIC
    - MIDDLE EAST AND AFRICA
    - LATIN AMERICA
  • 5.10 PATENT ANALYSIS
    METHODOLOGY
    PATENTS FILED, BY DOCUMENT TYPE, 2016–2025
    INNOVATION AND PATENT APPLICATIONS
    - TOP APPLICANTS
  • 5.11 PRICING ANALYSIS
    AVERAGE SELLING PRICE OF OFFERING, BY KEY PLAYERS, 2025
    AVERAGE SELLING PRICE, BY AGENT ROLE, 2025
  • 5.12 KEY CONFERENCES AND EVENTS, 2025-2026
  • 5.13 PORTER FIVE FORCES ANALYSIS
    THREAT FROM NEW ENTRANTS
    THREAT OF SUBSTITUTES
    BARGAINING POWER OF SUPPLIERS
    BARGAINING POWER OF BUYERS
    INTENSITY OF COMPETITION RIVALRY
  • 5.14 TRENDS/DISRUPTIONS IMPACTING BUYER/CLIENTS OF AI AGENTS MARKET
  • 5.15 KEY STAKEHOLDERS AND BUYING CRITERIA
    KEY STAKEHOLDERS IN BUYING PROCESS
    BUYING CRITERIA
AI AGENTS MARKET, BY OFFERING
6
  • 6.1 INTRODUCTION
    OFFERING: MARKET DRIVERS
  • 6.2 HORIZONTAL AI AGENTS
  • 6.3 VERTICAL AI AGENTS
AI AGENTS MARKET, BY AGENT SYSTEM
7
  • 7.1 INTRODUCTION
    AGENT SYSTEM: MARKET DRIVERS
  • 7.2 SINGLE AGENT SYSTEM
  • 7.3 MULTI AGENT SYSTEMS
AI AGENTS MARKET, BY PRODUCT TYPE
8
  • 8.1 INTRODUCTION
    PRODUCT TYPE: MARKET DRIVERS
  • 8.2 READY-TO-DEPLOY AGENTS
  • 8.3 BUILD-YOUR-OWN AGENTS
AI AGENTS MARKET, BY AGENT ROLE
9
  • 9.1 INTRODUCTION
    AGENT ROLE: MARKET DRIVERS
  • 9.2 PRODUCTIVITY & PERSONAL ASSISTANTS
    CREATIVITY ASSISTANTS
    WORKFLOW AUTOMATION
    MEETING ASSISTANTS
  • 9.3 SALES
    PROSPECTING
    LEAD GENERATION
    SALES AUTOMATION
    CUSTOMER RELATIONSHIP MANAGEMENT
  • 9.4 MARKETING
    CONTENT CREATION & SEO
    CAMPAIGN MANAGEMENT
    MARKETING PERSONALIZATION
  • 9.5 LEGAL
    LEGAL RESEARCH
    DOCUMENT REVIEW & MANAGEMENT
    LEGAL COMPLIANCE
  • 9.6 OPERATIONS & SUPPLY CHAIN
    DEMAND FORECASTING
    INVENTORY OPTIMIZATION
    LOGISTICS & ROUTE PLANNING
    PRODUCTION PLANNING & SCHEDULING
    OTHERS (SUPPLIER MANAGEMENT, QUALITY CONTROL)
  • 9.7 SECURITY & RISK MANAGEMENT
  • 9.8 CUSTOMER SERVICE & SUPPORT
    SELF SERVICE CHATBOTS
    SENTIMENT ANALYSIS
  • 9.9 CODING & SOFTWARE DEVELOPMENT
    CODE GENERATION
    CODE DEBUGGING
    CONTINUOS INTEGRATION/CONTINUOUS DELIVERY (CI/CD)
  • 9.10 PRODUCT MANAGEMENT
    MARKET RESEARCH
    PRODUCT DEVELOPMENT
    PROJECT TASK AUTOMATION
    RESOURCE ALLOCATION
  • 9.11 ACCOUNTING
    TRANSACTION FAILURE MANAGEMENT
    FRAUD MANAGEMENT
  • 9.12 HR
    HIRING & RECRUITMENT
    EMPLOYEE ENGAGEMENT
  • 9.13 BUSINESS INTELLIGENCE
    DATA ANALYTICS & INSIGHT GENERATION
    PREDICTIVE ANALYTICS & FORECASTING
    AUTOMATED REPORTING & DASHBOARDS
    DATA CLEANING & PREPARATION
  • 9.14 OTHERS (R&D, AND REGULATORY REPORTING)
    AI AGENTS MARKET, BY END USER
AI AGENTS MARKET, BY END USER
10
  • 10.1 INTRODUCTION
    END USER: AI AGENTS MARKET DRIVERS
  • 10.2 ENTERPRISES
    BFSI
    - BANKING
    - FINANCIAL SERVICES
    - INSURANCE
    TELECOMMUNICATIONS
    GOVERNMENT & PUBLIC SECTOR
    HEALTHCARE & LIFE SCIENCES
    MANUFACTURING
    MEDIA & ENTERTAINMENT
    - ADVERTISING
    - MUSIC
    - FILM
    - GAMING
    - JOURNALISM
    RETAIL & E-COMMERCE
    TECHNOLOGY PROVIDERS
    PROFESSIONAL SERVICE PROVIDERS
    - CONSULTING SERVICE PROVIDERS
    - KPOs
    - BPOs
    - RECRUITMENT
    LAW FIRMS
    OTHER ENTERPRISES
  • 10.3 CONSUMERS
AI AGENTS MARKET, BY REGION
11
  • 11.1 INTRODUCTION
  • 11.2 NORTH AMERICA
    NORTH AMERICA: MARKET DRIVERS
    MACROECONOMIC OUTLOOK FOR NORTH AMERICA
    UNITED STATES
    CANADA
  • 11.3 EUROPE
    EUROPE: AI AGENTS MARKET DRIVERS
    MACROECONOMIC OUTLOOK FOR EUROPE
    UK
    GERMANY
    FRANCE
    ITALY
    SPAIN
    NETHERLANDS
    REST OF EUROPE
  • 11.4 ASIA PACIFIC
    ASIA PACIFIC: MARKET DRIVERS
    MACROECONOMIC OUTLOOK FOR ASIA PACIFIC
    CHINA
    INDIA
    JAPAN
    SOUTH KOREA
    ASEAN
    AUSTRALIA & NEW ZEALAND
    REST OF ASIA PACIFIC
  • 11.5 MDDLE EAST AND AFRICA
    MIDDLE EAST AND AFRICA: AI AGENTS MARKET DRIVERS
    MACROECONOMIC OUTLOOK FOR MDDLE EAST AND AFRICA
    SAUDI ARABIA
    UAE
    QATAR
    TURKEY
    REST OF MIDDLE EAST
    AFRICA
  • 11.6 LATIN AMERICA
    LATIN AMERICA: AI AGENTS MARKET DRIVERS
    MACROECONOMIC OUTLOOK FOR LATIN AMERICA
    BRAZIL
    MEXICO
    ARGENTINA
    REST OF LATIN AMERICA
COMPETITIVE LANDSCAPE
12
  • 12.1 OVERVIEW
  • 12.2 KEY PLAYERS STRATEGIES/RIGHT TO WIN
    OVERVIEW OF STRATEGIES ADOPTED BY KEY AI AGENTS VENDORS
  • 12.3 REVENUE ANALYSIS OF KEY PLAYERS, 2020 – 2024
    MARKET SPECIFIC REVENUE ANALYSIS, 2020 – 2024
  • 12.4 MARKET SHARE ANALYSIS, 2024
    MARKET RANKING ANALYSIS, 2024
  • 12.5 PRODUCT COMPARATIVE ANALYSIS
  • 12.6 COMPANY VALUATION AND FINANCIAL METRICS OF KEY AI AGENTS VENDORS
  • 12.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024
    STARS
    EMERGING LEADERS
    PERVASIVE PLAYERS
    PARTICIPANTS
    COMPANY FOOTPRINT: KEY PLAYERS, 2024
    - COMPANY FOOTPRINT
    - REGION FOOTPRINT
    - OFFERING FOOTPRINT
    - AGENT SYSTEM FOOTPRINT
    - AGENT ROLE FOOTPRINT
    - END USER FOOTPRINT
  • 12.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024
    PROGRESSIVE COMPANIES
    RESPONSIVE COMPANIES
    DYNAMIC COMPANIES
    STARTING BLOCKS
    COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024
    - DETAILED LIST OF KEY STARTUPS/SMES
    - COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
  • 12.9 COMPETITIVE SCENARIO
    PRODUCT LAUNCHES AND ENHANCEMENTS
    DEALS
    OTHERS
COMPANY PROFILES
13
  • 13.1 INTRODUCTION
  • 13.2 KEY PLAYERS
    IBM
    MICROSOFT
    GOOGLE
    AWS
    NVIDIA
    OPENAI
    ORACLE
    SALESFORCE
    LIVEPERSON
    TEMPUS AI
    KORE.AI
    LEEWAYHERTZ
    CS DISCO
    AEROGILITY
    GUPSHUP
    HIREVUE
    HELPSHIFT
    FLUID AI
    AMELIA
    IRISITY
    COGITO
    SMARTACTION
  • 13.3 START-UPS/SMES
    TOVIE AI
    COGNOSYS
    AISERA
    MARKOVATE
    RASA
    STABILITY AI
    INFINITUS SYSTEMS
    SIERRA
    LEVEL AI
    SYBILL
    TRUVA
    LEENA AI
    TARS
    TALKIE.AI
    HEYMILO AI
    CUJO AI
    ONE.AI
    LOCALE.AI
    COGNIGY
    NEWO.AI
    BEAM AI
    CAUSALENS
    KRISP
    RELEVANCE AI
    SPELL
    BLUEJ
    LUMINANCE
    LAWGEEX

 

The AI agents market research study involved extensive secondary sources, directories, journals, and paid databases for secondary research. Primary sources were mainly industry experts from the core and related industries, preferred cybersecurity providers offering generative AI-infused solutions, third-party service providers, consulting service providers, end users, and other commercial enterprises. In-depth interviews were conducted with various primary respondents, including key industry participants and subject matter experts, to obtain and verify critical qualitative and quantitative information and assess the market’s prospects.

Secondary Research

The market size of companies across the globe offering WCM products was arrived at based on the secondary data available through paid and unpaid sources. It was also arrived at by analyzing the product portfolios of major companies and rating companies based on their performance and quality.

In the secondary research process, various sources were referred to to identify and collect information for this study. Secondary sources included annual reports, press releases, and investor presentations of companies; white papers, journals, and certified publications; and articles from recognized authors, directories, and databases. Additional data was gathered by utilizing other secondary sources, such as blogs, government whitepapers, journals, and vendor websites. Different nations' spending on AI agents was gathered from the corresponding sources. Secondary research was mainly used to obtain key information related to the industry’s value chain and supply chain to identify key players based on solutions, services, market classification, and segmentation according to offerings of major players, industry trends related to agent systems, product type, agent roles, end users, and region, and key developments from both market- and technology-oriented perspectives.

Primary Research

In the primary research process, various primary sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information on the market. The primary sources from the supply side included various industry experts, including Chief Experience Officers (CXOs); Vice Presidents (VPs); directors from business development and marketing teams; related key executives from AI agent solution vendors, SIs, professional service providers, and industry associations; and key opinion leaders.

Primary interviews were conducted to gather qualitative and quantitative insights, which include but are not limited to market statistics, revenue data collected from solutions and services, market breakups, market size estimations, market forecasts, and data triangulation. Inputs from primary research were also leveraged to understand various trends related to technologies, applications, deployments, and regions. Stakeholders from the demand side, such as Chief Information Officers (CIOs), Chief Technology Officers (CTOs), Chief Strategy Officers (CSOs), and end users using AI agent solutions, were interviewed to understand the buyer’s perspective on suppliers, products, service providers, and their current usage of AI agents solutions and services, which would impact the overall AI agents market.

AI Agents Market Size, and Share

Note: Tier 1 companies account for annual revenue of >USD 10 billion; tier 2 companies’ revenue ranges between
USD 1 and 10 billion; and tier 3 companies’ revenue ranges between USD 500 million and USD 1 billion
Source: MarketsandMarkets Analysis

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

Multiple approaches were adopted to estimate and forecast the AI agents market. The first approach involved estimating the market size by the summation of companies’ revenue generated through the sale of solutions and services.

Market Size Estimation Methodology: Top-down approach

In the top-down approach, an exhaustive list of all the vendors offering solutions and services in the AI agents market was prepared. The revenue contribution of the market vendors was estimated through annual reports, press releases, funding, investor presentations, paid databases, and primary interviews. Each vendor's offerings were evaluated based on the breadth of software and services according to the agent system, product type, agent role, and end user. The aggregate of all the companies’ revenue was extrapolated to reach the overall market size. Each subsegment was studied and analyzed for its global market size and regional penetration. The markets were triangulated through both primary and secondary research. The primary procedure included extensive interviews for key insights from industry leaders, such as CIOs, CEOs, VPs, directors, and marketing executives. The market numbers were further triangulated with the existing MarketsandMarkets’ repository for validation.

Market Size Estimation Methodology: Bottom-up approach

In the bottom-up approach, the adoption rate of AI agent solutions and services among different end users in key countries with respect to their regions contributing the most to the market share was identified. For cross-validation, the adoption of AI agent solutions and services among industries, along with different use cases with respect to their regions, was identified and extrapolated. Weightage was given to use cases identified in different regions for the market size calculation.

Based on the market numbers, the regional split was determined by primary and secondary sources. The procedure included the analysis of the regional penetration of AI agents in the market. Based on secondary research, the regional spending on Information and Communications Technology (ICT), socio-economic analysis of each country, strategic vendor analysis of major AI agent providers, and organic and inorganic business development activities of regional and global players were estimated. With the data triangulation procedure and data validation through primary interviews, the exact values of the overall AI agents market size and the segments’ size were determined and confirmed using the study.

AI Agents Market : Top-Down and Bottom-Up Approach

AI Agents Market Top Down and Bottom Up Approach

Data Triangulation

After arriving at the overall market size using the market size estimation processes as explained above, the market was split into several segments and subsegments. To complete the overall market engineering process and arrive at the exact statistics of each market segment and subsegment, data triangulation and market breakup procedures were employed, wherever applicable. The overall market size was then used in the top-down procedure to estimate the size of other individual markets via percentage splits of the market segmentation.

Market Definition

AI agents are autonomous or semi-autonomous software entities designed to perform specific tasks or roles within a digital environment by leveraging artificial intelligence techniques such as machine learning, natural language processing, and decision-making algorithms. These agents operate independently or in conjunction with other agents and systems to achieve predefined goals, often mimicking human behaviors such as understanding, reasoning, learning, and interacting with users or other systems. AI agents can range from simple rule-based bots to complex, multi-agent systems capable of sophisticated interactions and collaboration. They are widely used across various industries for tasks like customer service automation, data analysis, process optimization, and personalized recommendations, offering scalability, efficiency, and enhanced user experiences.

Stakeholders

  • Ready-to-Deploy AI Agent Vendors
  • AI Agent Development Platform Vendors
  • Business Analysts
  • Cloud Service Providers
  • Build-Your-Own Agent Service Providers
  • Enterprise End Users
  • Distributors and Value-added Resellers (VARs)
  • Government Agencies
  • Independent Software Vendors (ISV)
  • Managed Service Providers
  • Market Research and Consulting Firms
  • Support & Maintenance Service Providers
  • System Integrators (SIs)/Migration Service Providers
  • Technology Providers

Report Objectives

  • To define, describe, and predict the AI agents market by offering, agent system, product type, agent role, end user, and region
  • To provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing market growth
  • To analyze the micro markets with respect to individual growth trends, prospects, and their contribution to the total market
  • To analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the market
  • To analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leaders
  • To forecast the market size of segments for the five main regions: North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
  • To profile key players and comprehensively analyze their market rankings and core competencies.
  • To analyze competitive developments, such as partnerships, product launches, and mergers & acquisitions, in the market
  • To analyze the macroeconomic outlook (including the impact of Trump tariffs) across all regions in the AI agents market

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per your company’s specific needs. The following customization options are available for the report:

Product Analysis

  • Product quadrant, which gives a detailed comparison of the product portfolio of each company.

Geographic Analysis as per Feasibility

  • Further breakup of the North American AI agents market
  • Further breakup of the European market
  • Further breakup of the Asia Pacific market
  • Further breakup of the Middle Eastern & African market
  • Further breakup of the Latin America AI agents market

Company Information

  • Detailed analysis and profiling of additional market players (up to five)

 

Previous Versions of this Report

AI Agents Market by Agent Role (Productivity & Personal Assistant, Sales, Marketing, Code Generation, Operations & Supply Chain), Offering (Vertical AI Agents, Horizontal AI Agents), Agent System (Single Agent, Multi Agent) - Global Forecast to 2030

Report Code TC 9168
Published in Dec, 2024, By MarketsandMarkets™
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Growth opportunities and latent adjacency in AI Agents Market

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