AI Agents Market by Agent Role (Productivity & Personal Assistants, Sales, Marketing, Customer Service, Code Generation), Agent Systems (Single Agent, Multi Agent), Product Type (Ready to Deploy Agents, Build Your Own Agents) - Global Forecast to 2030
The AI agents market is projected to grow from USD 5.1 billion in 2024 to USD 47.1 billion in 2030, with a CAGR of 44.8% during 2024–2030. The AI agent market has been growing rapidly. Impacting various sectors and business operations, the changes are prompted by several key factors. Companies are going for AI agents that can scale up personalized responses due to increasing complexities of customer interactions as well as need for customized experiences. For instance, in omni-channel communication strategies, AI agents can handle client queries across multiple platforms thereby boosting customer satisfaction and loyalty. Furthermore, AI agents have improved dramatically due to progress in NLP (natural language processing) and machine learning. As a result these tools are now better at comprehending context intention or sentiment resulting in more efficient automation processes. With digital transformation gaining popularity across industries, many organizations have turned towards the use of AI agents with an aim of streamlining their activities while cutting on costs leading to overall efficiency improvement.
“By agent systems, multi-agent systems segment is expected to register the fastest market growth rate during the forecast period.”
The AI agents market is seeing a rapid rise in growth of multi-agent systems (MAS) as these can handle complex decentralized tasks better than single-agent systems. Such AI agents work well in an environment where there is need for negotiations, collaborative efforts or competition among several parties- and that is why they are widely used in transportation, financial services, healthcare and autonomous systems. The advent of Industry 4.0, which focuses on automation and smart technologies, has also led to increased demand for MAS as they enable optimization processes, allow distributed data management and improve real-time decision making process. Furthermore, MAS are extremely suitable to scaling operations as they facilitate blending different functionalities across agents into their software platforms. This makes it possible for multi agent systems to adjust with dynamic, large-scale environments.
“By agent role, customer service & support is expected to account for the largest market share during the forecast period.”
Customer service & support has emerged as the most widely accepted AI agents role. This is owing to the rapid rate at which customers are airing their grievances calls- requring special AI agents to manage and cope with this huge volume of interactions. The advent of digital platforms has increased the need for prompt, precise and customized responses that AI agents can offer throughout the day, hence substantially increasing consumer satisfaction levels and brand dedication. Furthermore, companies striving to rationalize costs through resource optimization and OPEX minimization are appreciating the affordability of AI agents who deal with routine duties while freeing up their colleagues for more complicated inquiries. In addition, easy integration of CRM systems with AI agents enables enterprises to adopt them without hindrance.
“By Region, North America to have the largest market share in 2024, and Asia Pacific is slated to grow at the fastest rate during the forecast period.”
North America has the largest regional share of AI agents market based on early adoption of cutting-edge technologies and a strong digital infrastructure. This region is significantly advantaged by its major players such as Google, Microsoft, and IBM who invest heftily in the development of AI agents. For instance, IBM has developed AI-powered customer support tools adopted by leading banks and healthcare providers to minimize their operations and improve customer experiences. Moreover, Walmart has utilized AI agents for better supply chain efficiency and improved customer service in the US thereby demonstrating how this region leverages AI systems for operational excellence. Besides, strong thrusts toward digital transformation throughout industries, coupled with enabling legislations, further consolidate North America’s dominance on the AI agents market.
The market for AI agents is growing fastest in Asia-Pacific, thanks to rapid development of AI, quickened digitization and huge technology adept population. China and Japan are spearheading the move with substantial state backing and funding for the AI technologies. For instance, China’s e-commerce moguls such as Alibaba and JD.com have massively utilized AI agents so as to step up their customer service levels and minimize logistics costs. In addition, Japan’s great emphasis on automation is depicted by firms like SoftBank, that integrates artificial intelligence agents into client support system and robotics, signifying a strong inclination towards AI in the area.
Breakdown of primaries
In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the AI agents market.
Research coverage
This research report categorizes the AI agents Market by Agent Systems (Single Agent System, Multi Agent Systems), by Product Type (Ready-to-Deploy AI Agents, Build-Your-Own AI Agents), by Agent Role (Productivity & Personal Assistants, Sales, Marketing, Legal, Customer Service & Support, Coding & Software Development, Product Management, Accounting, Human Resources, Business Intelligence, and Others), by End-user (enterprise end-users [BFSI, telecommunications, government & public sector, healthcare & life sciences, manufacturing, media & entertainment, retail & e-commerce, technology providers, professional service providers, law firms, and other enterprises], consumers), and by Region (North America, Europe, Asia Pacific, Middle East & Africa, and Latin America). The scope of the report covers detailed information regarding the major factors, such as drivers, restraints, challenges, and opportunities, influencing the growth of the AI agents market. A detailed analysis of the key industry players has been done to provide insights into their business overview, solutions, and services; key strategies; contracts, partnerships, agreements, new product & service launches, mergers and acquisitions, and recent developments associated with the AI agents market. Competitive analysis of upcoming startups in the AI agents market ecosystem is covered in this report.
Key Benefits of Buying the Report
The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall AI agents market and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights better to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:
“By agent systems, multi-agent systems segment is expected to register the fastest market growth rate during the forecast period.”
The AI agents market is seeing a rapid rise in growth of multi-agent systems (MAS) as these can handle complex decentralized tasks better than single-agent systems. Such AI agents work well in an environment where there is need for negotiations, collaborative efforts or competition among several parties- and that is why they are widely used in transportation, financial services, healthcare and autonomous systems. The advent of Industry 4.0, which focuses on automation and smart technologies, has also led to increased demand for MAS as they enable optimization processes, allow distributed data management and improve real-time decision making process. Furthermore, MAS are extremely suitable to scaling operations as they facilitate blending different functionalities across agents into their software platforms. This makes it possible for multi agent systems to adjust with dynamic, large-scale environments.
“By agent role, customer service & support is expected to account for the largest market share during the forecast period.”
Customer service & support has emerged as the most widely accepted AI agents role. This is owing to the rapid rate at which customers are airing their grievances calls- requring special AI agents to manage and cope with this huge volume of interactions. The advent of digital platforms has increased the need for prompt, precise and customized responses that AI agents can offer throughout the day, hence substantially increasing consumer satisfaction levels and brand dedication. Furthermore, companies striving to rationalize costs through resource optimization and OPEX minimization are appreciating the affordability of AI agents who deal with routine duties while freeing up their colleagues for more complicated inquiries. In addition, easy integration of CRM systems with AI agents enables enterprises to adopt them without hindrance.
“By Region, North America to have the largest market share in 2024, and Asia Pacific is slated to grow at the fastest rate during the forecast period.”
North America has the largest regional share of AI agents market based on early adoption of cutting-edge technologies and a strong digital infrastructure. This region is significantly advantaged by its major players such as Google, Microsoft, and IBM who invest heftily in the development of AI agents. For instance, IBM has developed AI-powered customer support tools adopted by leading banks and healthcare providers to minimize their operations and improve customer experiences. Moreover, Walmart has utilized AI agents for better supply chain efficiency and improved customer service in the US thereby demonstrating how this region leverages AI systems for operational excellence. Besides, strong thrusts toward digital transformation throughout industries, coupled with enabling legislations, further consolidate North America’s dominance on the AI agents market.
The market for AI agents is growing fastest in Asia-Pacific, thanks to rapid development of AI, quickened digitization and huge technology adept population. China and Japan are spearheading the move with substantial state backing and funding for the AI technologies. For instance, China’s e-commerce moguls such as Alibaba and JD.com have massively utilized AI agents so as to step up their customer service levels and minimize logistics costs. In addition, Japan’s great emphasis on automation is depicted by firms like SoftBank, that integrates artificial intelligence agents into client support system and robotics, signifying a strong inclination towards AI in the area.
Breakdown of primaries
In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the AI agents market.
- By Company: Tier I – 38%, Tier II – 42%, and Tier III – 20%
- By Designation: C-Level Executives – 31%, D-Level Executives – 40%, and others – 29%
- By Region: North America – 44%, Europe – 25%, Asia Pacific – 20%, Middle East & Africa – 6%, and Latin America – 5%
Research coverage
This research report categorizes the AI agents Market by Agent Systems (Single Agent System, Multi Agent Systems), by Product Type (Ready-to-Deploy AI Agents, Build-Your-Own AI Agents), by Agent Role (Productivity & Personal Assistants, Sales, Marketing, Legal, Customer Service & Support, Coding & Software Development, Product Management, Accounting, Human Resources, Business Intelligence, and Others), by End-user (enterprise end-users [BFSI, telecommunications, government & public sector, healthcare & life sciences, manufacturing, media & entertainment, retail & e-commerce, technology providers, professional service providers, law firms, and other enterprises], consumers), and by Region (North America, Europe, Asia Pacific, Middle East & Africa, and Latin America). The scope of the report covers detailed information regarding the major factors, such as drivers, restraints, challenges, and opportunities, influencing the growth of the AI agents market. A detailed analysis of the key industry players has been done to provide insights into their business overview, solutions, and services; key strategies; contracts, partnerships, agreements, new product & service launches, mergers and acquisitions, and recent developments associated with the AI agents market. Competitive analysis of upcoming startups in the AI agents market ecosystem is covered in this report.
Key Benefits of Buying the Report
The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall AI agents market and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights better to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:
- Analysis of key drivers (Accelerated development of natural language processing (NLP) technologies is enhancing AI agents’ understanding and interaction capabilities, the demand for hyper-personalized digital experiences is driving higher adoption of AI agents in customer-facing roles, the integration of AI agents into enterprise business process automation is improving operational efficiency and reducing costs), restraints (Data privacy and security concerns are limiting market adoption, high implementation costs are restricting access to advanced AI agent solutions), opportunities (Tailored AI solutions for specialized industry applications will address niche market needs and create new revenue streams, the expansion of AI-powered SaaS platforms will broaden accessibility and drive adoption among small and medium-sized enterprises, multilingual capabilities in AI agents will increase global market penetration and adoption), and challenges (Ethical and bias concerns in AI agents are threatening trust and compliance in sensitive application, scalability issues in high demand environments are challenging the performance and reliability of AI agents).
- Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the AI agents market.
- Market Development: Comprehensive information about lucrative markets – the report analyses the AI agents market across varied regions.
- Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the AI agents market.
- Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players like 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), and Cognosys (Canada), among others in the AI agents market. The report also helps stakeholders understand the pulse of the AI agents market and provides them with information on key market drivers, restraints, challenges, and opportunities.
1 INTRODUCTION
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.2.1 INCLUSIONS AND EXCLUSIONS
1.3 MARKET SCOPE
1.3.1 MARKET SEGMENTATION
1.3.2 YEARS CONSIDERED
1.4 CURRENCY CONSIDERED
1.5 STAKEHOLDERS
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.2 PRIMARY DATA
2.1.2.1 Breakup of primary profiles
2.1.2.2 Key industry insights
2.2 MARKET BREAKUP AND DATA TRIANGULATION
2.3 MARKET SIZE ESTIMATION
2.3.1 TOP-DOWN APPROACH
2.3.2 BOTTOM-UP APPROACH
2.4 MARKET FORECAST
2.5 RESEARCH ASSUMPTIONS
2.6 STUDY LIMITATIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES IN AI AGENTS MARKET
4.2 AI AGENTS MARKET: TOP THREE AGENT ROLES
4.3 NORTH AMERICA: AI AGENTS MARKET, BY AGENT SYSTEM AND PRODUCT TYPE
4.4 AI AGENTS MARKET, BY REGION
5 MARKET OVERVIEW AND INDUSTRY TRENDS
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Accelerated development of natural language processing (NLP) technologies to enhance AI agents’ understanding and interaction capabilities
5.2.1.2 Demand for hyper-personalized digital experiences to drive higher adoption of AI agents in customer-facing roles
5.2.1.3 Integration of AI agents into enterprise business process automation to improve operational efficiency and reduce costs
5.2.2 RESTRAINTS
5.2.2.1 Data privacy and security concerns to limit market adoption
5.2.2.2 High implementation costs to restrict access to advanced AI agent solutions
5.2.3 OPPORTUNITIES
5.2.3.1 Tailored AI solutions for specialized industry applications will address niche market needs and create new revenue streams
5.2.3.2 Expansion of AI-powered SaaS platforms will broaden accessibility and drive adoption among small and medium-sized enterprises
5.2.3.3 Multilingual capabilities in AI agents will increase global market penetration and adoption
5.2.4 CHALLENGES
5.2.4.1 Ethical and bias concerns in AI agents to threaten trust and compliance in sensitive applications
5.2.4.2 Scalability issues in high demand environments to challenge performance and reliability of AI agents
5.3 EVOLUTION OF AI AGENTS
5.4 SUPPLY CHAIN ANALYSIS
5.5 ECOSYSTEM ANALYSIS
5.5.1 AI AGENT PROVIDERS
5.5.2 SERVICE PROVIDERS
5.5.3 CLOUD HYPERSCALERS
5.5.4 LLM PROVIDERS
5.5.5 END USERS
5.5.6 GOVERNMENT & REGULATORY BODIES
5.6 INVESTMENT LANDSCAPE AND FUNDING SCENARIO
5.7 IMPACT OF GENERATIVE AI ON AI AGENTS MARKET
5.7.1 TOP USE CASES & MARKET POTENTIAL
5.7.1.1 Enhanced communication & interaction
5.7.1.2 Automated content generation
5.7.1.3 Personalized experiences
5.7.1.4 Real-time decision support
5.7.1.5 Product development & design
5.7.1.6 Automated content creation
5.8 CASE STUDY ANALYSIS
5.8.1 BFSI
5.8.1.1 Bajaj Finance used 2000+ chatbots to drive sales for its different verticals
5.8.1.2 MRHFL closed experience gap for frontline employees using Leena AI platform
5.8.2 HEALTHCARE & LIFE SCIENCES
5.8.2.1 Cencora accelerated patient access with Infinitus
5.8.2.2 Aveanna Healthcare improved employee experiences with Amelia
5.8.3 IT/ITES
5.8.3.1 Amelia helped CGI reduce client outages by 30%
5.8.4 TELECOMMUNICATIONS
5.8.4.1 Telefonica leveraged Amelia’s AI agents to handle 100% of its mobile phone traffic
5.9 TECHNOLOGY ANALYSIS
5.9.1 KEY TECHNOLOGIES
5.9.1.1 Optimization Algorithms
5.9.1.2 Probabilistic Algorithms
5.9.1.3 Planning & Search Algorithms
5.9.1.4 TensorFlow
5.9.1.5 PyTorch
5.9.1.6 Apache Kafka
5.9.1.7 Sensors/Perceptors
5.9.1.8 LLM Routing
5.9.1.9 AI Agent Memory
5.9.1.9.1 Short-term Memory (STM)
5.9.1.9.2 Long-term Memory (LTM) Type 1
5.9.1.9.3 Long-term Memory (LTM) Type 2
5.9.1.9.4 Long-term Memory (LTM) Type 3
5.9.2 COMPLEMENTARY TECHNOLOGIES
5.9.2.1 API and Microservices
5.9.2.2 Edge Computing
5.9.2.3 Geospatial Analytics
5.9.2.4 Quantization and Model Optimization
5.9.3 ADJACENT TECHNOLOGIES
5.9.3.1 Multimodal AI
5.9.3.2 Responsible AI
5.9.3.3 Blockchain
5.9.3.4 5G and Advanced Connectivity
5.10 REGULATORY LANDSCAPE
5.10.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.10.2 REGULATIONS: AI AGENTS
5.10.2.1 North America
5.10.2.1.1 Blueprint for an AI Bill of Rights (US)
5.10.2.1.2 Directive on Automated Decision-making (Canada)
5.10.2.2 Europe
5.10.2.2.1 UK AI Regulation White Paper
5.10.2.2.2 Gesetz zur Regulierung Kьnstlicher Intelligenz (AI Regulation Law)
5.10.2.2.3 Loi pour une Rйpublique numйrique (Digital Republic Act)
5.10.2.2.4 Codice in materia di protezione dei dati personali (Italian Data Protection Code)
5.10.2.2.5 Ley de Servicios Digitales (Digital Services Act)
5.10.2.2.6 Dutch Data Protection Authority (Autoriteit Persoonsgegevens) Guidelines
5.10.2.2.7 The Swedish National Board of Trade AI Guidelines
5.10.2.2.8 Danish Data Protection Agency (Datatilsynet) AI Recommendations
5.10.2.2.9 Artificial Intelligence 4.0 (AI 4.0) Program
5.10.2.3 Asia Pacific
5.10.2.3.1 Personal Data Protection Bill (PDPB) & National Strategy on AI (NSAI)
5.10.2.3.2 The Basic Act on the Advancement of Utilizing Public and Private Sector Data & AI Guidelines
5.10.2.3.3 New Generation Artificial Intelligence Development Plan & AI Ethics Guidelines
5.10.2.3.4 Framework Act on Intelligent Informatization
5.10.2.3.5 AI Ethics Framework (Australia) & AI Strategy (New Zealand)
5.10.2.3.6 Model AI Governance Framework
5.10.2.3.7 National AI Framework
5.10.2.3.8 Taiwan AI Action Plan
5.10.2.3.9 National AI Roadmap
5.10.2.4 Middle East & Africa
5.10.2.4.1 Saudi Data & Artificial Intelligence Authority (SDAIA) Regulations
5.10.2.4.2 UAE National AI Strategy 2031
5.10.2.4.3 Qatar National AI Strategy
5.10.2.4.4 National Artificial Intelligence Strategy (2021-2025)
5.10.2.4.5 African Union (AU) AI Framework
5.10.2.4.6 Egyptian Artificial Intelligence Strategy
5.10.2.4.7 Kuwait National Development Plan (New Kuwait Vision 2035)
5.10.2.5 Latin America
5.10.2.5.1 Brazilian General Data Protection Law (LGPD)
5.10.2.5.2 Federal Law on the Protection of Personal Data Held by Private Parties
5.10.2.5.3 Argentina Personal Data Protection Law (PDPL) & AI Ethics Framework
5.10.2.5.4 Chilean Data Protection Law & National AI Policy
5.10.2.5.5 Colombian Data Protection Law (Law 1581) & AI Ethics Guidelines
5.10.2.5.6 Peruvian Personal Data Protection Law & National AI Strategy
5.11 PATENT ANALYSIS
5.11.1 METHODOLOGY
5.11.2 PATENTS FILED, BY DOCUMENT TYPE
5.11.3 INNOVATION AND PATENT APPLICATIONS
5.11.3.1 Top 10 applicants in AI agents market
5.12 PRICING ANALYSIS
5.12.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY AGENT TYPE
5.12.2 INDICATIVE PRICING ANALYSIS, BY SERVICE
5.13 KEY CONFERENCES AND EVENTS (2024–2025)
5.14 PORTER’S FIVE FORCES ANALYSIS
5.14.1 THREAT OF NEW ENTRANTS
5.14.2 THREAT OF SUBSTITUTES
5.14.3 BARGAINING POWER OF SUPPLIERS
5.14.4 BARGAINING POWER OF BUYERS
5.14.5 INTENSITY OF COMPETITIVE RIVALRY
5.15 AI AGENTS TECHNOLOGY ROADMAP
5.16 AI AGENTS BUSINESS MODELS
5.16.1 AI AGENTS-AS-A-SERVICE MODEL
5.16.2 AI AGENTS EMBEDDED IN SOFTWARE SOLUTIONS MODEL
5.16.3 AI AGENTS CUSTOM INTEGRATION & CONSULTING MODEL
5.16.4 AI AGENTS PLATFORM ECOSYSTEM MODEL
5.16.5 AI AGENTS LICENSING & IP MODEL
5.16.6 AI AGENTS HARDWARE-INTEGRATED MODEL
5.16.7 AI AGENTS WHITE-LABEL MODEL
5.17 KEY STAKEHOLDERS & BUYING CRITERIA
5.17.1 KEY STAKEHOLDERS IN BUYING PROCESS
5.17.2 BUYING CRITERIA
5.18 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
5.18.1 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
6 AI AGENTS MARKET, BY AGENT SYSTEM
6.1 INTRODUCTION
6.1.1 AGENT SYSTEM: AI AGENTS MARKET DRIVERS
6.2 SINGLE AGENT SYSTEMS
6.2.1 SINGLE AGENT SYSTEMS OFFER COST-EFFECTIVE ENTRY POINT FOR BUSINESSES LOOKING TO IMPLEMENT AI SOLUTIONS
6.3 MULTI AGENT SYSTEMS
6.3.1 GOVERNMENTS AND DEFENSE ORGANIZATIONS INVESTING HEAVILY IN MAS FOR APPLICATIONS IN SURVEILLANCE, RECONNAISSANCE, AND MILITARY SIMULATIONS
7 AI AGENTS MARKET, BY PRODUCT TYPE
7.1 INTRODUCTION
7.1.1 PRODUCT TYPE: AI AGENTS MARKET DRIVERS
7.2 READY-TO-DEPLOY AGENTS
7.2.1 READY-TO-DEPLOY CONVERSATIONAL AGENTS LEVERAGING SOPHISTICATED NLP AND ML MODELS TO DELIVER ENHANCED CUSTOMER EXPERIENCES
7.3 BUILD-YOUR-OWN AGENTS
7.3.1 BUILD-YOUR-OWN AGENTS SEGMENT POISED FOR SIGNIFICANT GROWTH AS BUSINESSES INCREASINGLY SEEK CUSTOMIZED AI SOLUTIONS CATERING TO SPECIFIC NEEDS
8 AI AGENTS MARKET, BY AGENT ROLE
8.1 INTRODUCTION
8.1.1 AGENT ROLE: AI AGENTS MARKET DRIVERS
8.2 PRODUCTIVITY & PERSONAL ASSISTANTS
8.2.1 AI-POWERED PRODUCTIVITY AND PERSONAL ASSISTANTS REFLECT GROWING NEED FOR TOOLS TO ENHANCE INDIVIDUAL EFFICIENCY AND STREAMLINE PERSONAL AND PROFESSIONAL TASKS
8.2.2 CREATIVITY ASSISTANTS
8.2.3 WORKFLOW AUTOMATION
8.2.4 MEETING ASSISTANTS
8.3 SALES
8.3.1 RISE OF GENERATIVE AI HAS SIGNIFICANTLY ENHANCED NETWORK SECURITY MEASURES BY ENABLING MORE SOPHISTICATED THREAT DETECTION
8.3.2 PROSPECTING
8.3.3 LEAD GENERATION
8.3.4 SALES AUTOMATION
8.3.5 CUSTOMER RELATIONSHIP MANAGEMENT
8.4 MARKETING
8.4.1 FUTURE OF MARKETING INTERTWINED WITH CONTINUED DEVELOPMENT OF AI AGENTS, SHAPING HOW BUSINESSES ENGAGE WITH CUSTOMERS AND DRIVE GROWTH
8.4.2 CONTENT CREATION & SEO
8.4.3 CAMPAIGN MANAGEMENT
8.4.4 MARKETING PERSONALIZATION
8.5 LEGAL
8.5.1 AI AGENTS TRANSFORMING LEGAL INDUSTRY BY AUTOMATING ROUTINE TASKS, ENHANCING DECISION-MAKING, AND PROVIDING DATA-DRIVEN INSIGHTS
8.5.2 LEGAL RESEARCH
8.5.3 DOCUMENT REVIEW & MANAGEMENT
8.5.4 LEGAL COMPLIANCE
8.6 CUSTOMER SERVICE & SUPPORT
8.6.1 DRIVEN BY ADVANCEMENTS IN NLP AND MACHINE LEARNING, AI AGENTS MARKET IN CUSTOMER SERVICE POISED FOR SUBSTANTIAL GROWTH
8.6.2 SELF-SERVICE CHATBOTS
8.6.3 SENTIMENT ANALYSIS
8.7 CODING & SOFTWARE DEVELOPMENT
8.7.1 CONTINUOUS TECHNOLOGICAL ADVANCEMENTS TO DRIVE FURTHER INNOVATION, MAKING AI AGENTS INTEGRAL TO FUTURE OF SOFTWARE DEVELOPMENT
8.7.2 CODE GENERATION
8.7.3 CODE DEBUGGING
8.7.4 CONTINUOUS INTEGRATION/CONTINUOUS DELIVERY (CI/CD)
8.8 PRODUCT MANAGEMENT
8.8.1 USE OF AI AGENTS IN PRODUCT MANAGEMENT EXPECTED TO BECOME STANDARD PRACTICE
8.8.2 MARKET RESEARCH
8.8.3 PRODUCT DEVELOPMENT
8.8.4 PROJECT TASK AUTOMATION
8.8.5 RESOURCE ALLOCATION
8.9 ACCOUNTING
8.9.1 DEMAND FOR AUTOMATION IN REPETITIVE AND TIME-CONSUMING ACCOUNTING TASKS TO DRIVE MARKET GROWTH
8.9.2 TRANSACTION FAILURE MANAGEMENT
8.9.3 FRAUD MANAGEMENT
8.10 HUMAN RESOURCES
8.10.1 AS MORE ORGANIZATIONS ADOPT HR AGENTS TO ENHANCE HR FUNCTIONS, MARKET WILL EXPAND SIGNIFICANTLY
8.10.2 HIRING & RECRUITMENT
8.10.3 EMPLOYEE ENGAGEMENT
8.11 BUSINESS INTELLIGENCE
8.11.1 AGENT ROLES IN BUSINESS ENGAGEMENT BECOMING INDISPENSABLE FOR BUSINESSES AIMING TO ENHANCE CUSTOMER EXPERIENCES AND STREAMLINE OPERATIONS
8.11.2 DATA ANALYTICS & INSIGHT GENERATION
8.11.3 PREDICTIVE ANALYTICS & FORECASTING
8.11.4 AUTOMATED REPORTING & DASHBOARDS
8.11.5 DATA CLEANING & PREPARATION
8.12 OTHER AGENT ROLES
9 AI AGENTS MARKET, BY END USER
9.1 INTRODUCTION
9.1.1 END USER: AI AGENTS MARKET DRIVERS
9.2 ENTERPRISES
9.2.1 BFSI
9.2.1.1 Growing need for automation and ability to deliver 24/7 service driving integration of AI agents in BFSI sector
9.2.1.2 Banking
9.2.1.3 Financial Services
9.2.1.4 Insurance
9.2.2 TELECOMMUNICATIONS
9.2.2.1 Adoption of AI agents in telecommunications further accelerated by growing demand for seamless, always-on communication services
9.2.3 GOVERNMENT & PUBLIC SECTOR
9.2.3.1 Governments making investments in AI research and establishing innovation hubs to promote collaboration with academia & private sector
9.2.4 HEALTHCARE & LIFE SCIENCES
9.2.4.1 Healthcare providers leveraging AI agents to streamline administrative tasks allowing healthcare professionals to focus on patient care
9.2.5 MANUFACTURING
9.2.5.1 AI to revolutionize manufacturing processes and enhance competitiveness in evolving market landscape
9.2.6 MEDIA & ENTERTAINMENT
9.2.6.1 Media & entertainment companies increasingly leveraging AI agents to stay competitive and meet evolving demands of consumers
9.2.6.2 Advertising
9.2.6.3 Music
9.2.6.4 Film
9.2.6.5 Gaming
9.2.6.6 Journalism
9.2.7 RETAIL & E-COMMERCE
9.2.7.1 Integration of AI agents in retail & e-commerce sector to transform industry by driving personalization and enhancing operational efficiency
9.2.8 TECHNOLOGY PROVIDERS
9.2.8.1 Technology providers investing heavily in R&D to create AI agents that can adapt to dynamic environments and make data-driven decisions
9.2.9 PROFESSIONAL SERVICE PROVIDERS
9.2.9.1 Integration of AI agents in professional services to reshape industry by driving operational efficiencies
9.2.9.2 Consulting Service Providers
9.2.9.3 Knowledge Process Outsourcing (KPO)
9.2.9.4 Business Process Outsourcing (BPO)
9.2.9.5 Recruitment
9.2.10 LAW FIRMS
9.2.10.1 AI agents automate data collection and analysis, enabling law firms to gain valuable insights from their operations
9.2.11 OTHER ENTERPRISES
9.3 CONSUMERS
10 AI AGENTS MARKET, BY REGION
10.1 INTRODUCTION
10.2 NORTH AMERICA
10.2.1 NORTH AMERICA: AI AGENTS MARKET DRIVERS
10.2.2 NORTH AMERICA: MACROECONOMIC OUTLOOK
10.2.3 US
10.2.3.1 US AI agents market seeing flurry of mergers and acquisitions as companies aim to strengthen their AI capabilities
10.2.4 CANADA
10.2.4.1 Canadian government exploring use of AI agents to improve public services
10.3 EUROPE
10.3.1 EUROPE: AI AGENTS MARKET DRIVERS
10.3.2 EUROPE: MACROECONOMIC OUTLOOK
10.3.3 UK
10.3.3.1 As UK continues to invest in AI infrastructure and foster innovation, AI agents market poised for sustained growth
10.3.4 GERMANY
10.3.4.1 Germany well-positioned to continue leading in AI agents market, contributing to broader AI landscape
10.3.5 FRANCE
10.3.5.1 France's AI agents market poised for continued growth, supported by government's proactive approach
10.3.6 ITALY
10.3.6.1 Italian AI agents market poised for substantial growth, with forecasted increase in AI investment by public and private sectors
10.3.7 SPAIN
10.3.7.1 Spain to leverage AI's transformative potential across various industries
10.3.8 NETHERLANDS
10.3.8.1 Netherlands positioning itself as leader in AI agents market through combination of strategic investments, ethical guidelines, and collaborative initiatives
10.3.9 REST OF EUROPE
10.4 ASIA PACIFIC
10.4.1 ASIA PACIFIC: AI AGENTS MARKET DRIVERS
10.4.2 ASIA PACIFIC: MACROECONOMIC OUTLOOK
10.4.3 CHINA
10.4.3.1 China’s AI agents market primarily driven by government’s strong commitment to becoming world leader in AI
10.4.4 INDIA
10.4.4.1 Government’s push toward digitalization and AI adoption driving growth for AI agents in India
10.4.5 JAPAN
10.4.5.1 Japanese firms increasingly collaborating with global tech giants to enhance AI capabilities
10.4.6 SOUTH KOREA
10.4.6.1 South Korean government to position country among top AI powerhouses by 2030
10.4.7 AUSTRALIA & NEW ZEALAND
10.4.7.1 Focus on ethical AI and data privacy shaping development and deployment of AI agents in ANZ
10.4.8 SINGAPORE
10.4.8.1 Large corporations in Singapore increasingly adopting AI agents to enhance business operations
10.4.9 REST OF ASIA PACIFIC
10.5 MIDDLE EAST & AFRICA
10.5.1 MIDDLE EAST & AFRICA: AI AGENTS MARKET DRIVERS
10.5.2 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
10.5.3 SAUDI ARABIA
10.5.3.1 Saudi banks and fintech companies implementing AI agents to enhance customer experience and improve operational efficiency
10.5.4 UAE
10.5.4.1 UAE continues to prioritize AI across its development strategies
10.5.5 QATAR
10.5.5.1 Qatar investing heavily in AI technologies to modernize its economy, focusing on sectors like healthcare, education, and finance
10.5.6 TURKEY
10.5.6.1 Turkey's burgeoning technology sector to be key driver of AI agent adoption
10.5.7 REST OF MIDDLE EAST
10.5.8 AFRICA
10.5.8.1 Development of new AI models and technologies tailored to unique cybersecurity challenges faced by African countries
10.6 LATIN AMERICA
10.6.1 LATIN AMERICA: AI AGENTS MARKET DRIVERS
10.6.2 LATIN AMERICA: MACROECONOMIC OUTLOOK
10.6.3 BRAZIL
10.6.3.1 Brazilian banks deploying AI agents to handle customer inquiries, provide financial advice, and streamline operations
10.6.4 MEXICO
10.6.4.1 Mexican government actively promoting AI and digital transformation through various policies and initiatives
10.6.5 ARGENTINA
10.6.5.1 Argentine startups specializing in AI-powered chatbots and developing AI agents that cater to local and international markets
10.6.6 REST OF LATIN AMERICA
11 COMPETITIVE LANDSCAPE
11.1 OVERVIEW
11.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
11.3 REVENUE ANALYSIS
11.4 MARKET SHARE ANALYSIS
11.4.1 MARKET SHARE OF KEY PLAYERS OFFERING AI AGENTS
11.4.1.1 Market Ranking Analysis
11.5 PRODUCT COMPARATIVE ANALYSIS
11.5.1 PRODUCT COMPARATIVE ANALYSIS, BY OPEN-SOURCE AI AGENT
11.5.1.1 Sweep AI (Sweep.dev)
11.5.1.2 Superagent (Superagent AI)
11.5.1.3 MetaGPT (Geekan)
11.5.1.4 AutoGen (Microsoft)
11.5.1.5 ChatDev (OpenBMB)
11.5.2 PRODUCT COMPARATIVE ANALYSIS, BY CLOSED-SOURCE AI AGENT
11.5.2.1 Blackbox AI (Blackbox)
11.5.2.2 Copilot X (GitHub)
11.5.2.3 Deepnote AI (Deepnote)
11.5.2.4 Phind Ask (Phind)
11.5.2.5 Gumloop Flow (Gumloop)
11.6 COMPANY VALUATION AND FINANCIAL METRICS
11.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
11.7.1 STARS
11.7.2 EMERGING LEADERS
11.7.3 PERVASIVE PLAYERS
11.7.4 PARTICIPANTS
11.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
11.7.5.1 Company footprint
11.7.5.2 Regional footprint
11.7.5.3 Product type footprint
11.7.5.4 Agent role footprint
11.7.5.5 Agent system footprint
11.7.5.6 End user footprint
11.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
11.8.1 PROGRESSIVE COMPANIES
11.8.2 RESPONSIVE COMPANIES
11.8.3 DYNAMIC COMPANIES
11.8.4 STARTING BLOCKS
11.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
11.8.5.1 Detailed list of key startups/SMEs
11.8.5.2 Competitive benchmarking of key startups/SMEs
11.9 COMPETITIVE SCENARIO AND TRENDS
11.9.1 PRODUCT LAUNCHES AND ENHANCEMENTS
11.9.2 DEALS
12 COMPANY PROFILES
12.1 INTRODUCTION
12.2 KEY PLAYERS
12.2.1 IBM
12.2.1.1 Business overview
12.2.1.2 Products/Solutions/Services offered
12.2.1.3 Recent developments
12.2.1.3.1 Deals
12.2.1.4 MnM view
12.2.1.4.1 Key strengths
12.2.1.4.2 Strategic choices
12.2.1.4.3 Weaknesses and competitive threats
12.2.2 MICROSOFT
12.2.2.1 Business overview
12.2.2.2 Products/Solutions/Services offered
12.2.2.3 Recent developments
12.2.2.3.1 Product Launches
12.2.2.3.2 Deals
12.2.2.4 MnM view
12.2.2.4.1 Key strengths
12.2.2.4.2 Strategic choices
12.2.2.4.3 Weaknesses and competitive threats
12.2.3 GOOGLE
12.2.3.1 Business overview
12.2.3.2 Products/Solutions/Services offered
12.2.3.3 Recent developments
12.2.3.3.1 Product Launches
12.2.3.4 MnM view
12.2.3.4.1 Key strengths
12.2.3.4.2 Strategic choices
12.2.3.4.3 Weaknesses and competitive threats
12.2.4 AWS
12.2.4.1 Business overview
12.2.4.2 Products/Solutions/Services offered
12.2.4.3 Recent developments
12.2.4.3.1 Product Launches
12.2.4.3.2 Deals
12.2.4.4 MnM view
12.2.4.4.1 Key strengths
12.2.4.4.2 Strategic choices
12.2.4.4.3 Weaknesses and competitive threats
12.2.5 NVIDIA
12.2.5.1 Business overview
12.2.5.2 Products/Solutions/Services offered
12.2.5.3 MnM view
12.2.5.3.1 Key strengths
12.2.5.3.2 Strategic choices
12.2.5.3.3 Weaknesses and competitive threats
12.2.6 ORACLE
12.2.6.1 Business overview
12.2.6.2 Products/Solutions/Services offered
12.2.7 SALESFORCE
12.2.7.1 Business overview
12.2.7.2 Products/Solutions/Services offered
12.2.7.3 Recent developments
12.2.7.3.1 Product Launches
12.2.8 OPENAI
12.2.8.1 Business overview
12.2.8.2 Products/Solutions/Services offered
12.2.8.3 Recent developments
12.2.8.3.1 Product Launches
12.2.9 LIVEPERSON
12.2.9.1 Business overview
12.2.9.2 Products/Solutions/Services offered
12.2.9.3 Recent developments
12.2.9.3.1 Product Launches
12.2.10 TEMPUS AI
12.2.11 KORE.AI
12.2.12 LEEWAYHERTZ
12.2.13 CS DISCO
12.2.14 AEROGILITY
12.2.15 GUPSHUP
12.2.16 HIREVUE
12.2.17 HELPSHIFT
12.2.18 FLUID AI
12.2.19 AMELIA
12.2.20 IRISITY
12.2.21 COGITO
12.2.22 SMARTACTION
12.3 STARTUP/SME PROFILES
12.3.1 COGNOSYS
12.3.2 AISERA
12.3.3 MARKOVATE
12.3.4 RASA
12.3.5 STABILITY AI
12.3.6 INFINITUS SYSTEMS
12.3.7 SIERRA
12.3.8 LEVEL AI
12.3.9 SYBILL AI
12.3.10 TRUVA
12.3.11 LEENA AI
12.3.12 TARS
12.3.13 TALKIE.AI
12.3.14 HEYMILO AI
12.3.15 CUJO AI
12.3.16 ONEAI
12.3.17 LOCALE.AI
12.3.18 COGNIGY
12.3.19 NEWO.AI
12.3.20 BEAM AI
13 ADJACENT AND RELATED MARKETS
13.1 INTRODUCTION
13.2 ARTIFICIAL INTELLIGENCE (AI) MARKET – GLOBAL FORECAST TO 2030
13.2.1 MARKET DEFINITION
13.2.2 MARKET OVERVIEW
13.2.2.1 Artificial Intelligence Market, by Offering
13.2.2.2 Artificial Intelligence Market, by Business Function
13.2.2.3 Artificial Intelligence Market, by Technology
13.2.2.4 Artificial Intelligence Market, by Vertical
13.2.2.5 Artificial Intelligence Market, by Region
13.3 GENERATIVE AI MARKET – GLOBAL FORECAST TO 2030
13.3.1 MARKET DEFINITION
13.3.2 MARKET OVERVIEW
13.3.2.1 Generative AI Market, by Offering
13.3.2.2 Generative AI Market, by Data Modality
13.3.2.3 Generative AI Market, by Application
13.3.2.4 Generative AI Market, by Vertical
13.3.2.5 Generative AI Market, by Region
14 APPENDIX
14.1 DISCUSSION GUIDE
14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
14.3 CUSTOMIZATION OPTIONS
14.4 RELATED REPORTS
14.5 AUTHOR DETAILS
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.2.1 INCLUSIONS AND EXCLUSIONS
1.3 MARKET SCOPE
1.3.1 MARKET SEGMENTATION
1.3.2 YEARS CONSIDERED
1.4 CURRENCY CONSIDERED
1.5 STAKEHOLDERS
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.2 PRIMARY DATA
2.1.2.1 Breakup of primary profiles
2.1.2.2 Key industry insights
2.2 MARKET BREAKUP AND DATA TRIANGULATION
2.3 MARKET SIZE ESTIMATION
2.3.1 TOP-DOWN APPROACH
2.3.2 BOTTOM-UP APPROACH
2.4 MARKET FORECAST
2.5 RESEARCH ASSUMPTIONS
2.6 STUDY LIMITATIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES IN AI AGENTS MARKET
4.2 AI AGENTS MARKET: TOP THREE AGENT ROLES
4.3 NORTH AMERICA: AI AGENTS MARKET, BY AGENT SYSTEM AND PRODUCT TYPE
4.4 AI AGENTS MARKET, BY REGION
5 MARKET OVERVIEW AND INDUSTRY TRENDS
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Accelerated development of natural language processing (NLP) technologies to enhance AI agents’ understanding and interaction capabilities
5.2.1.2 Demand for hyper-personalized digital experiences to drive higher adoption of AI agents in customer-facing roles
5.2.1.3 Integration of AI agents into enterprise business process automation to improve operational efficiency and reduce costs
5.2.2 RESTRAINTS
5.2.2.1 Data privacy and security concerns to limit market adoption
5.2.2.2 High implementation costs to restrict access to advanced AI agent solutions
5.2.3 OPPORTUNITIES
5.2.3.1 Tailored AI solutions for specialized industry applications will address niche market needs and create new revenue streams
5.2.3.2 Expansion of AI-powered SaaS platforms will broaden accessibility and drive adoption among small and medium-sized enterprises
5.2.3.3 Multilingual capabilities in AI agents will increase global market penetration and adoption
5.2.4 CHALLENGES
5.2.4.1 Ethical and bias concerns in AI agents to threaten trust and compliance in sensitive applications
5.2.4.2 Scalability issues in high demand environments to challenge performance and reliability of AI agents
5.3 EVOLUTION OF AI AGENTS
5.4 SUPPLY CHAIN ANALYSIS
5.5 ECOSYSTEM ANALYSIS
5.5.1 AI AGENT PROVIDERS
5.5.2 SERVICE PROVIDERS
5.5.3 CLOUD HYPERSCALERS
5.5.4 LLM PROVIDERS
5.5.5 END USERS
5.5.6 GOVERNMENT & REGULATORY BODIES
5.6 INVESTMENT LANDSCAPE AND FUNDING SCENARIO
5.7 IMPACT OF GENERATIVE AI ON AI AGENTS MARKET
5.7.1 TOP USE CASES & MARKET POTENTIAL
5.7.1.1 Enhanced communication & interaction
5.7.1.2 Automated content generation
5.7.1.3 Personalized experiences
5.7.1.4 Real-time decision support
5.7.1.5 Product development & design
5.7.1.6 Automated content creation
5.8 CASE STUDY ANALYSIS
5.8.1 BFSI
5.8.1.1 Bajaj Finance used 2000+ chatbots to drive sales for its different verticals
5.8.1.2 MRHFL closed experience gap for frontline employees using Leena AI platform
5.8.2 HEALTHCARE & LIFE SCIENCES
5.8.2.1 Cencora accelerated patient access with Infinitus
5.8.2.2 Aveanna Healthcare improved employee experiences with Amelia
5.8.3 IT/ITES
5.8.3.1 Amelia helped CGI reduce client outages by 30%
5.8.4 TELECOMMUNICATIONS
5.8.4.1 Telefonica leveraged Amelia’s AI agents to handle 100% of its mobile phone traffic
5.9 TECHNOLOGY ANALYSIS
5.9.1 KEY TECHNOLOGIES
5.9.1.1 Optimization Algorithms
5.9.1.2 Probabilistic Algorithms
5.9.1.3 Planning & Search Algorithms
5.9.1.4 TensorFlow
5.9.1.5 PyTorch
5.9.1.6 Apache Kafka
5.9.1.7 Sensors/Perceptors
5.9.1.8 LLM Routing
5.9.1.9 AI Agent Memory
5.9.1.9.1 Short-term Memory (STM)
5.9.1.9.2 Long-term Memory (LTM) Type 1
5.9.1.9.3 Long-term Memory (LTM) Type 2
5.9.1.9.4 Long-term Memory (LTM) Type 3
5.9.2 COMPLEMENTARY TECHNOLOGIES
5.9.2.1 API and Microservices
5.9.2.2 Edge Computing
5.9.2.3 Geospatial Analytics
5.9.2.4 Quantization and Model Optimization
5.9.3 ADJACENT TECHNOLOGIES
5.9.3.1 Multimodal AI
5.9.3.2 Responsible AI
5.9.3.3 Blockchain
5.9.3.4 5G and Advanced Connectivity
5.10 REGULATORY LANDSCAPE
5.10.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.10.2 REGULATIONS: AI AGENTS
5.10.2.1 North America
5.10.2.1.1 Blueprint for an AI Bill of Rights (US)
5.10.2.1.2 Directive on Automated Decision-making (Canada)
5.10.2.2 Europe
5.10.2.2.1 UK AI Regulation White Paper
5.10.2.2.2 Gesetz zur Regulierung Kьnstlicher Intelligenz (AI Regulation Law)
5.10.2.2.3 Loi pour une Rйpublique numйrique (Digital Republic Act)
5.10.2.2.4 Codice in materia di protezione dei dati personali (Italian Data Protection Code)
5.10.2.2.5 Ley de Servicios Digitales (Digital Services Act)
5.10.2.2.6 Dutch Data Protection Authority (Autoriteit Persoonsgegevens) Guidelines
5.10.2.2.7 The Swedish National Board of Trade AI Guidelines
5.10.2.2.8 Danish Data Protection Agency (Datatilsynet) AI Recommendations
5.10.2.2.9 Artificial Intelligence 4.0 (AI 4.0) Program
5.10.2.3 Asia Pacific
5.10.2.3.1 Personal Data Protection Bill (PDPB) & National Strategy on AI (NSAI)
5.10.2.3.2 The Basic Act on the Advancement of Utilizing Public and Private Sector Data & AI Guidelines
5.10.2.3.3 New Generation Artificial Intelligence Development Plan & AI Ethics Guidelines
5.10.2.3.4 Framework Act on Intelligent Informatization
5.10.2.3.5 AI Ethics Framework (Australia) & AI Strategy (New Zealand)
5.10.2.3.6 Model AI Governance Framework
5.10.2.3.7 National AI Framework
5.10.2.3.8 Taiwan AI Action Plan
5.10.2.3.9 National AI Roadmap
5.10.2.4 Middle East & Africa
5.10.2.4.1 Saudi Data & Artificial Intelligence Authority (SDAIA) Regulations
5.10.2.4.2 UAE National AI Strategy 2031
5.10.2.4.3 Qatar National AI Strategy
5.10.2.4.4 National Artificial Intelligence Strategy (2021-2025)
5.10.2.4.5 African Union (AU) AI Framework
5.10.2.4.6 Egyptian Artificial Intelligence Strategy
5.10.2.4.7 Kuwait National Development Plan (New Kuwait Vision 2035)
5.10.2.5 Latin America
5.10.2.5.1 Brazilian General Data Protection Law (LGPD)
5.10.2.5.2 Federal Law on the Protection of Personal Data Held by Private Parties
5.10.2.5.3 Argentina Personal Data Protection Law (PDPL) & AI Ethics Framework
5.10.2.5.4 Chilean Data Protection Law & National AI Policy
5.10.2.5.5 Colombian Data Protection Law (Law 1581) & AI Ethics Guidelines
5.10.2.5.6 Peruvian Personal Data Protection Law & National AI Strategy
5.11 PATENT ANALYSIS
5.11.1 METHODOLOGY
5.11.2 PATENTS FILED, BY DOCUMENT TYPE
5.11.3 INNOVATION AND PATENT APPLICATIONS
5.11.3.1 Top 10 applicants in AI agents market
5.12 PRICING ANALYSIS
5.12.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY AGENT TYPE
5.12.2 INDICATIVE PRICING ANALYSIS, BY SERVICE
5.13 KEY CONFERENCES AND EVENTS (2024–2025)
5.14 PORTER’S FIVE FORCES ANALYSIS
5.14.1 THREAT OF NEW ENTRANTS
5.14.2 THREAT OF SUBSTITUTES
5.14.3 BARGAINING POWER OF SUPPLIERS
5.14.4 BARGAINING POWER OF BUYERS
5.14.5 INTENSITY OF COMPETITIVE RIVALRY
5.15 AI AGENTS TECHNOLOGY ROADMAP
5.16 AI AGENTS BUSINESS MODELS
5.16.1 AI AGENTS-AS-A-SERVICE MODEL
5.16.2 AI AGENTS EMBEDDED IN SOFTWARE SOLUTIONS MODEL
5.16.3 AI AGENTS CUSTOM INTEGRATION & CONSULTING MODEL
5.16.4 AI AGENTS PLATFORM ECOSYSTEM MODEL
5.16.5 AI AGENTS LICENSING & IP MODEL
5.16.6 AI AGENTS HARDWARE-INTEGRATED MODEL
5.16.7 AI AGENTS WHITE-LABEL MODEL
5.17 KEY STAKEHOLDERS & BUYING CRITERIA
5.17.1 KEY STAKEHOLDERS IN BUYING PROCESS
5.17.2 BUYING CRITERIA
5.18 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
5.18.1 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
6 AI AGENTS MARKET, BY AGENT SYSTEM
6.1 INTRODUCTION
6.1.1 AGENT SYSTEM: AI AGENTS MARKET DRIVERS
6.2 SINGLE AGENT SYSTEMS
6.2.1 SINGLE AGENT SYSTEMS OFFER COST-EFFECTIVE ENTRY POINT FOR BUSINESSES LOOKING TO IMPLEMENT AI SOLUTIONS
6.3 MULTI AGENT SYSTEMS
6.3.1 GOVERNMENTS AND DEFENSE ORGANIZATIONS INVESTING HEAVILY IN MAS FOR APPLICATIONS IN SURVEILLANCE, RECONNAISSANCE, AND MILITARY SIMULATIONS
7 AI AGENTS MARKET, BY PRODUCT TYPE
7.1 INTRODUCTION
7.1.1 PRODUCT TYPE: AI AGENTS MARKET DRIVERS
7.2 READY-TO-DEPLOY AGENTS
7.2.1 READY-TO-DEPLOY CONVERSATIONAL AGENTS LEVERAGING SOPHISTICATED NLP AND ML MODELS TO DELIVER ENHANCED CUSTOMER EXPERIENCES
7.3 BUILD-YOUR-OWN AGENTS
7.3.1 BUILD-YOUR-OWN AGENTS SEGMENT POISED FOR SIGNIFICANT GROWTH AS BUSINESSES INCREASINGLY SEEK CUSTOMIZED AI SOLUTIONS CATERING TO SPECIFIC NEEDS
8 AI AGENTS MARKET, BY AGENT ROLE
8.1 INTRODUCTION
8.1.1 AGENT ROLE: AI AGENTS MARKET DRIVERS
8.2 PRODUCTIVITY & PERSONAL ASSISTANTS
8.2.1 AI-POWERED PRODUCTIVITY AND PERSONAL ASSISTANTS REFLECT GROWING NEED FOR TOOLS TO ENHANCE INDIVIDUAL EFFICIENCY AND STREAMLINE PERSONAL AND PROFESSIONAL TASKS
8.2.2 CREATIVITY ASSISTANTS
8.2.3 WORKFLOW AUTOMATION
8.2.4 MEETING ASSISTANTS
8.3 SALES
8.3.1 RISE OF GENERATIVE AI HAS SIGNIFICANTLY ENHANCED NETWORK SECURITY MEASURES BY ENABLING MORE SOPHISTICATED THREAT DETECTION
8.3.2 PROSPECTING
8.3.3 LEAD GENERATION
8.3.4 SALES AUTOMATION
8.3.5 CUSTOMER RELATIONSHIP MANAGEMENT
8.4 MARKETING
8.4.1 FUTURE OF MARKETING INTERTWINED WITH CONTINUED DEVELOPMENT OF AI AGENTS, SHAPING HOW BUSINESSES ENGAGE WITH CUSTOMERS AND DRIVE GROWTH
8.4.2 CONTENT CREATION & SEO
8.4.3 CAMPAIGN MANAGEMENT
8.4.4 MARKETING PERSONALIZATION
8.5 LEGAL
8.5.1 AI AGENTS TRANSFORMING LEGAL INDUSTRY BY AUTOMATING ROUTINE TASKS, ENHANCING DECISION-MAKING, AND PROVIDING DATA-DRIVEN INSIGHTS
8.5.2 LEGAL RESEARCH
8.5.3 DOCUMENT REVIEW & MANAGEMENT
8.5.4 LEGAL COMPLIANCE
8.6 CUSTOMER SERVICE & SUPPORT
8.6.1 DRIVEN BY ADVANCEMENTS IN NLP AND MACHINE LEARNING, AI AGENTS MARKET IN CUSTOMER SERVICE POISED FOR SUBSTANTIAL GROWTH
8.6.2 SELF-SERVICE CHATBOTS
8.6.3 SENTIMENT ANALYSIS
8.7 CODING & SOFTWARE DEVELOPMENT
8.7.1 CONTINUOUS TECHNOLOGICAL ADVANCEMENTS TO DRIVE FURTHER INNOVATION, MAKING AI AGENTS INTEGRAL TO FUTURE OF SOFTWARE DEVELOPMENT
8.7.2 CODE GENERATION
8.7.3 CODE DEBUGGING
8.7.4 CONTINUOUS INTEGRATION/CONTINUOUS DELIVERY (CI/CD)
8.8 PRODUCT MANAGEMENT
8.8.1 USE OF AI AGENTS IN PRODUCT MANAGEMENT EXPECTED TO BECOME STANDARD PRACTICE
8.8.2 MARKET RESEARCH
8.8.3 PRODUCT DEVELOPMENT
8.8.4 PROJECT TASK AUTOMATION
8.8.5 RESOURCE ALLOCATION
8.9 ACCOUNTING
8.9.1 DEMAND FOR AUTOMATION IN REPETITIVE AND TIME-CONSUMING ACCOUNTING TASKS TO DRIVE MARKET GROWTH
8.9.2 TRANSACTION FAILURE MANAGEMENT
8.9.3 FRAUD MANAGEMENT
8.10 HUMAN RESOURCES
8.10.1 AS MORE ORGANIZATIONS ADOPT HR AGENTS TO ENHANCE HR FUNCTIONS, MARKET WILL EXPAND SIGNIFICANTLY
8.10.2 HIRING & RECRUITMENT
8.10.3 EMPLOYEE ENGAGEMENT
8.11 BUSINESS INTELLIGENCE
8.11.1 AGENT ROLES IN BUSINESS ENGAGEMENT BECOMING INDISPENSABLE FOR BUSINESSES AIMING TO ENHANCE CUSTOMER EXPERIENCES AND STREAMLINE OPERATIONS
8.11.2 DATA ANALYTICS & INSIGHT GENERATION
8.11.3 PREDICTIVE ANALYTICS & FORECASTING
8.11.4 AUTOMATED REPORTING & DASHBOARDS
8.11.5 DATA CLEANING & PREPARATION
8.12 OTHER AGENT ROLES
9 AI AGENTS MARKET, BY END USER
9.1 INTRODUCTION
9.1.1 END USER: AI AGENTS MARKET DRIVERS
9.2 ENTERPRISES
9.2.1 BFSI
9.2.1.1 Growing need for automation and ability to deliver 24/7 service driving integration of AI agents in BFSI sector
9.2.1.2 Banking
9.2.1.3 Financial Services
9.2.1.4 Insurance
9.2.2 TELECOMMUNICATIONS
9.2.2.1 Adoption of AI agents in telecommunications further accelerated by growing demand for seamless, always-on communication services
9.2.3 GOVERNMENT & PUBLIC SECTOR
9.2.3.1 Governments making investments in AI research and establishing innovation hubs to promote collaboration with academia & private sector
9.2.4 HEALTHCARE & LIFE SCIENCES
9.2.4.1 Healthcare providers leveraging AI agents to streamline administrative tasks allowing healthcare professionals to focus on patient care
9.2.5 MANUFACTURING
9.2.5.1 AI to revolutionize manufacturing processes and enhance competitiveness in evolving market landscape
9.2.6 MEDIA & ENTERTAINMENT
9.2.6.1 Media & entertainment companies increasingly leveraging AI agents to stay competitive and meet evolving demands of consumers
9.2.6.2 Advertising
9.2.6.3 Music
9.2.6.4 Film
9.2.6.5 Gaming
9.2.6.6 Journalism
9.2.7 RETAIL & E-COMMERCE
9.2.7.1 Integration of AI agents in retail & e-commerce sector to transform industry by driving personalization and enhancing operational efficiency
9.2.8 TECHNOLOGY PROVIDERS
9.2.8.1 Technology providers investing heavily in R&D to create AI agents that can adapt to dynamic environments and make data-driven decisions
9.2.9 PROFESSIONAL SERVICE PROVIDERS
9.2.9.1 Integration of AI agents in professional services to reshape industry by driving operational efficiencies
9.2.9.2 Consulting Service Providers
9.2.9.3 Knowledge Process Outsourcing (KPO)
9.2.9.4 Business Process Outsourcing (BPO)
9.2.9.5 Recruitment
9.2.10 LAW FIRMS
9.2.10.1 AI agents automate data collection and analysis, enabling law firms to gain valuable insights from their operations
9.2.11 OTHER ENTERPRISES
9.3 CONSUMERS
10 AI AGENTS MARKET, BY REGION
10.1 INTRODUCTION
10.2 NORTH AMERICA
10.2.1 NORTH AMERICA: AI AGENTS MARKET DRIVERS
10.2.2 NORTH AMERICA: MACROECONOMIC OUTLOOK
10.2.3 US
10.2.3.1 US AI agents market seeing flurry of mergers and acquisitions as companies aim to strengthen their AI capabilities
10.2.4 CANADA
10.2.4.1 Canadian government exploring use of AI agents to improve public services
10.3 EUROPE
10.3.1 EUROPE: AI AGENTS MARKET DRIVERS
10.3.2 EUROPE: MACROECONOMIC OUTLOOK
10.3.3 UK
10.3.3.1 As UK continues to invest in AI infrastructure and foster innovation, AI agents market poised for sustained growth
10.3.4 GERMANY
10.3.4.1 Germany well-positioned to continue leading in AI agents market, contributing to broader AI landscape
10.3.5 FRANCE
10.3.5.1 France's AI agents market poised for continued growth, supported by government's proactive approach
10.3.6 ITALY
10.3.6.1 Italian AI agents market poised for substantial growth, with forecasted increase in AI investment by public and private sectors
10.3.7 SPAIN
10.3.7.1 Spain to leverage AI's transformative potential across various industries
10.3.8 NETHERLANDS
10.3.8.1 Netherlands positioning itself as leader in AI agents market through combination of strategic investments, ethical guidelines, and collaborative initiatives
10.3.9 REST OF EUROPE
10.4 ASIA PACIFIC
10.4.1 ASIA PACIFIC: AI AGENTS MARKET DRIVERS
10.4.2 ASIA PACIFIC: MACROECONOMIC OUTLOOK
10.4.3 CHINA
10.4.3.1 China’s AI agents market primarily driven by government’s strong commitment to becoming world leader in AI
10.4.4 INDIA
10.4.4.1 Government’s push toward digitalization and AI adoption driving growth for AI agents in India
10.4.5 JAPAN
10.4.5.1 Japanese firms increasingly collaborating with global tech giants to enhance AI capabilities
10.4.6 SOUTH KOREA
10.4.6.1 South Korean government to position country among top AI powerhouses by 2030
10.4.7 AUSTRALIA & NEW ZEALAND
10.4.7.1 Focus on ethical AI and data privacy shaping development and deployment of AI agents in ANZ
10.4.8 SINGAPORE
10.4.8.1 Large corporations in Singapore increasingly adopting AI agents to enhance business operations
10.4.9 REST OF ASIA PACIFIC
10.5 MIDDLE EAST & AFRICA
10.5.1 MIDDLE EAST & AFRICA: AI AGENTS MARKET DRIVERS
10.5.2 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
10.5.3 SAUDI ARABIA
10.5.3.1 Saudi banks and fintech companies implementing AI agents to enhance customer experience and improve operational efficiency
10.5.4 UAE
10.5.4.1 UAE continues to prioritize AI across its development strategies
10.5.5 QATAR
10.5.5.1 Qatar investing heavily in AI technologies to modernize its economy, focusing on sectors like healthcare, education, and finance
10.5.6 TURKEY
10.5.6.1 Turkey's burgeoning technology sector to be key driver of AI agent adoption
10.5.7 REST OF MIDDLE EAST
10.5.8 AFRICA
10.5.8.1 Development of new AI models and technologies tailored to unique cybersecurity challenges faced by African countries
10.6 LATIN AMERICA
10.6.1 LATIN AMERICA: AI AGENTS MARKET DRIVERS
10.6.2 LATIN AMERICA: MACROECONOMIC OUTLOOK
10.6.3 BRAZIL
10.6.3.1 Brazilian banks deploying AI agents to handle customer inquiries, provide financial advice, and streamline operations
10.6.4 MEXICO
10.6.4.1 Mexican government actively promoting AI and digital transformation through various policies and initiatives
10.6.5 ARGENTINA
10.6.5.1 Argentine startups specializing in AI-powered chatbots and developing AI agents that cater to local and international markets
10.6.6 REST OF LATIN AMERICA
11 COMPETITIVE LANDSCAPE
11.1 OVERVIEW
11.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
11.3 REVENUE ANALYSIS
11.4 MARKET SHARE ANALYSIS
11.4.1 MARKET SHARE OF KEY PLAYERS OFFERING AI AGENTS
11.4.1.1 Market Ranking Analysis
11.5 PRODUCT COMPARATIVE ANALYSIS
11.5.1 PRODUCT COMPARATIVE ANALYSIS, BY OPEN-SOURCE AI AGENT
11.5.1.1 Sweep AI (Sweep.dev)
11.5.1.2 Superagent (Superagent AI)
11.5.1.3 MetaGPT (Geekan)
11.5.1.4 AutoGen (Microsoft)
11.5.1.5 ChatDev (OpenBMB)
11.5.2 PRODUCT COMPARATIVE ANALYSIS, BY CLOSED-SOURCE AI AGENT
11.5.2.1 Blackbox AI (Blackbox)
11.5.2.2 Copilot X (GitHub)
11.5.2.3 Deepnote AI (Deepnote)
11.5.2.4 Phind Ask (Phind)
11.5.2.5 Gumloop Flow (Gumloop)
11.6 COMPANY VALUATION AND FINANCIAL METRICS
11.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
11.7.1 STARS
11.7.2 EMERGING LEADERS
11.7.3 PERVASIVE PLAYERS
11.7.4 PARTICIPANTS
11.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
11.7.5.1 Company footprint
11.7.5.2 Regional footprint
11.7.5.3 Product type footprint
11.7.5.4 Agent role footprint
11.7.5.5 Agent system footprint
11.7.5.6 End user footprint
11.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
11.8.1 PROGRESSIVE COMPANIES
11.8.2 RESPONSIVE COMPANIES
11.8.3 DYNAMIC COMPANIES
11.8.4 STARTING BLOCKS
11.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
11.8.5.1 Detailed list of key startups/SMEs
11.8.5.2 Competitive benchmarking of key startups/SMEs
11.9 COMPETITIVE SCENARIO AND TRENDS
11.9.1 PRODUCT LAUNCHES AND ENHANCEMENTS
11.9.2 DEALS
12 COMPANY PROFILES
12.1 INTRODUCTION
12.2 KEY PLAYERS
12.2.1 IBM
12.2.1.1 Business overview
12.2.1.2 Products/Solutions/Services offered
12.2.1.3 Recent developments
12.2.1.3.1 Deals
12.2.1.4 MnM view
12.2.1.4.1 Key strengths
12.2.1.4.2 Strategic choices
12.2.1.4.3 Weaknesses and competitive threats
12.2.2 MICROSOFT
12.2.2.1 Business overview
12.2.2.2 Products/Solutions/Services offered
12.2.2.3 Recent developments
12.2.2.3.1 Product Launches
12.2.2.3.2 Deals
12.2.2.4 MnM view
12.2.2.4.1 Key strengths
12.2.2.4.2 Strategic choices
12.2.2.4.3 Weaknesses and competitive threats
12.2.3 GOOGLE
12.2.3.1 Business overview
12.2.3.2 Products/Solutions/Services offered
12.2.3.3 Recent developments
12.2.3.3.1 Product Launches
12.2.3.4 MnM view
12.2.3.4.1 Key strengths
12.2.3.4.2 Strategic choices
12.2.3.4.3 Weaknesses and competitive threats
12.2.4 AWS
12.2.4.1 Business overview
12.2.4.2 Products/Solutions/Services offered
12.2.4.3 Recent developments
12.2.4.3.1 Product Launches
12.2.4.3.2 Deals
12.2.4.4 MnM view
12.2.4.4.1 Key strengths
12.2.4.4.2 Strategic choices
12.2.4.4.3 Weaknesses and competitive threats
12.2.5 NVIDIA
12.2.5.1 Business overview
12.2.5.2 Products/Solutions/Services offered
12.2.5.3 MnM view
12.2.5.3.1 Key strengths
12.2.5.3.2 Strategic choices
12.2.5.3.3 Weaknesses and competitive threats
12.2.6 ORACLE
12.2.6.1 Business overview
12.2.6.2 Products/Solutions/Services offered
12.2.7 SALESFORCE
12.2.7.1 Business overview
12.2.7.2 Products/Solutions/Services offered
12.2.7.3 Recent developments
12.2.7.3.1 Product Launches
12.2.8 OPENAI
12.2.8.1 Business overview
12.2.8.2 Products/Solutions/Services offered
12.2.8.3 Recent developments
12.2.8.3.1 Product Launches
12.2.9 LIVEPERSON
12.2.9.1 Business overview
12.2.9.2 Products/Solutions/Services offered
12.2.9.3 Recent developments
12.2.9.3.1 Product Launches
12.2.10 TEMPUS AI
12.2.11 KORE.AI
12.2.12 LEEWAYHERTZ
12.2.13 CS DISCO
12.2.14 AEROGILITY
12.2.15 GUPSHUP
12.2.16 HIREVUE
12.2.17 HELPSHIFT
12.2.18 FLUID AI
12.2.19 AMELIA
12.2.20 IRISITY
12.2.21 COGITO
12.2.22 SMARTACTION
12.3 STARTUP/SME PROFILES
12.3.1 COGNOSYS
12.3.2 AISERA
12.3.3 MARKOVATE
12.3.4 RASA
12.3.5 STABILITY AI
12.3.6 INFINITUS SYSTEMS
12.3.7 SIERRA
12.3.8 LEVEL AI
12.3.9 SYBILL AI
12.3.10 TRUVA
12.3.11 LEENA AI
12.3.12 TARS
12.3.13 TALKIE.AI
12.3.14 HEYMILO AI
12.3.15 CUJO AI
12.3.16 ONEAI
12.3.17 LOCALE.AI
12.3.18 COGNIGY
12.3.19 NEWO.AI
12.3.20 BEAM AI
13 ADJACENT AND RELATED MARKETS
13.1 INTRODUCTION
13.2 ARTIFICIAL INTELLIGENCE (AI) MARKET – GLOBAL FORECAST TO 2030
13.2.1 MARKET DEFINITION
13.2.2 MARKET OVERVIEW
13.2.2.1 Artificial Intelligence Market, by Offering
13.2.2.2 Artificial Intelligence Market, by Business Function
13.2.2.3 Artificial Intelligence Market, by Technology
13.2.2.4 Artificial Intelligence Market, by Vertical
13.2.2.5 Artificial Intelligence Market, by Region
13.3 GENERATIVE AI MARKET – GLOBAL FORECAST TO 2030
13.3.1 MARKET DEFINITION
13.3.2 MARKET OVERVIEW
13.3.2.1 Generative AI Market, by Offering
13.3.2.2 Generative AI Market, by Data Modality
13.3.2.3 Generative AI Market, by Application
13.3.2.4 Generative AI Market, by Vertical
13.3.2.5 Generative AI Market, by Region
14 APPENDIX
14.1 DISCUSSION GUIDE
14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
14.3 CUSTOMIZATION OPTIONS
14.4 RELATED REPORTS
14.5 AUTHOR DETAILS
