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
AI 에이전트 시장 규모는 2024년 51억 달러에서 2030년에는 471억 달러로 성장하며, 2024-2030년의 CAGR은 44.8%로 예측됩니다.
AI 에이전트 시장은 빠르게 성장하고 있습니다. 다양한 분야와 비즈니스 운영에 영향을 미치는 이러한 변화는 몇 가지 중요한 요인에 의해 촉진되고 있습니다. 기업은 고객과의 상호 작용이 복잡해지고 맞춤형 경험에 대한 요구가 증가함에 따라 개인화된 대응을 확대할 수 있는 AI 에이전트를 원하고 있습니다. 예를 들어 옴니채널 커뮤니케이션 전략에서 AI 에이전트는 여러 플랫폼에서 고객 문의에 대응할 수 있으며, 고객 만족도와 충성도를 높일 수 있습니다. 또한 NLP(자연 언어 처리)와 머신러닝의 발전으로 AI 에이전트는 비약적으로 향상되었습니다. 그 결과, 이러한 툴은 문맥의 의도와 감정을 이해하는 능력이 뛰어나 보다 효율적인 자동화 프로세스를 구현할 수 있게 되었습니다. 디지털 전환이 산업 전반에 걸쳐 인기를 얻고 있는 가운데, 많은 조직들이 AI 에이전트를 사용하여 전반적인 효율성을 개선하고 비용을 절감하는 동시에 활동을 간소화하기 위해 AI 에이전트를 활용하고 있습니다.
| 조사 범위 |
| 조사 대상연도 |
2019-2030년 |
| 기준연도 |
2023년 |
| 예측 기간 |
2024-2030년 |
| 검토 단위 |
달러(100만 달러) |
| 부문 |
에이전트 시스템별, 제품 유형별, 에이전트 역할별, 최종사용자별, 지역별 |
| 대상 지역 |
북미, 유럽, 아시아태평양, 중동 및 아프리카, 라틴아메리카 |
AI 에이전트 시장은 멀티 에이전트 시스템(MAS)이 단일 에이전트 시스템보다 복잡한 분산 작업을 더 잘 처리할 수 있으므로 멀티 에이전트 시스템(MAS)의 성장이 빠르게 증가하고 있습니다. 이러한 AI 에이전트는 여러 당사자 간의 협상, 협업, 경쟁이 필요한 환경에서 효과적으로 작동하므로 교통, 금융 서비스, 헬스케어, 자율 시스템 등에서 널리 활용되고 있습니다. 자동화와 스마트 기술에 중점을 둔 인더스트리 4.0의 등장도 최적화 프로세스를 가능하게 하고, 분산된 데이터 관리를 가능하게 하며, 실시간 의사결정 프로세스를 개선하는 MAS에 대한 수요 증가로 이어지고 있습니다. 또한 MAS는 에이전트 간의 서로 다른 기능을 소프트웨어 플랫폼에 쉽게 통합할 수 있으므로 운영 확장에 매우 적합합니다. 이를 통해 멀티 에이전트 시스템은 역동적이고 대규모 환경에 적응할 수 있습니다.
고객 서비스 및 지원은 가장 널리 받아들여지는 AI 에이전트 역할로 부상하고 있습니다. 이는 고객 불만 전화가 빠르게 증가하고 있으며, 이러한 방대한 양의 상호 작용을 관리하고 처리하기 위해 특별한 AI 에이전트가 필요하기 때문입니다. 디지털 플랫폼의 출현으로 AI 상담원이 하루 종일 제공할 수 있는 신속하고 정확한 맞춤형 대응에 대한 요구가 증가하고 있으며, 그 결과 소비자 만족도와 브랜드에 대한 기여도가 크게 향상되고 있습니다. 또한 리소스 최적화 및 OPEX 최소화를 통해 비용 합리화를 추구하는 기업은 일상적인 업무를 처리하는 AI 에이전트의 저렴한 가격을 높이 평가하고 있으며, 보다 복잡한 문의를 위해 동료를 자유롭게 하는 한편, 일상적인 업무를 처리하는 AI 에이전트를 높이 평가했습니다. 또한 CRM 시스템과 AI 에이전트를 쉽게 통합할 수 있으므로 기업은 AI 에이전트를 쉽게 도입할 수 있습니다.
북미는 첨단 기술의 조기 도입과 강력한 디지털 인프라를 바탕으로 AI 에이전트 시장에서 가장 규모가 큰 지역 점유율을 차지하고 있습니다. 이 지역은 AI 에이전트 개발에 많은 투자를 하고 있는 구글, 마이크로소프트, IBM과 같은 대기업이 큰 이점을 누리고 있습니다. 예를 들어 IBM은 AI를 활용한 고객 지원 툴을 개발하여 대형 은행 및 의료 서비스 프로바이더가 채택하여 업무를 최소화하고 고객 경험을 개선하는 데 활용하고 있습니다. 또한 Walmart는 미국에서 AI 에이전트를 활용하여 공급망 효율화와 고객 서비스 향상을 위해 AI 에이전트를 활용하고 있으며, 이 지역이 어떻게 AI 시스템을 운영 우수성을 위해 활용하고 있는지를 입증하고 있습니다. 또한 산업 전반의 디지털 전환을 위한 강력한 추진력과 이를 가능하게 하는 법규는 북미의 AI 에이전트 시장에서의 우위를 더욱 공고히 하고 있습니다.
AI 에이전트 시장은 AI의 급속한 시장 개발, 디지털화의 가속화, 기술에 정통한 방대한 인구 덕분에 아시아태평양에서 가장 빠르게 성장하고 있습니다. 중국과 일본은 AI 기술에 대한 국가의 실질적인 지원과 자금 지원으로 이 움직임을 주도하고 있습니다. 예를 들어 Alibaba와 JD.com과 같은 중국의 대형 E-Commerce 업체들은 고객 서비스 수준을 향상시키고 물류 비용을 최소화하기 위해 AI 에이전트를 대량으로 활용하고 있습니다. 또한 소프트뱅크와 같이 인공지능 에이전트를 고객 지원 시스템 및 로봇 공학에 통합하고 있는 기업은 이 분야에서 AI에 대한 강한 의지를 보여주고 있습니다.
세계의 AI 에이전트 시장에 대해 조사했으며, 에이전트 시스템별, 제품 유형별, 에이전트 역할별, 최종사용자별, 지역별 동향 및 시장에 참여하는 기업의 개요 등을 정리하여 전해드립니다.
목차
제1장 서론
제2장 조사 방법
제3장 개요
제4장 주요 인사이트
제5장 시장 개요와 업계 동향
- 서론
- 시장 역학
- AI 에이전트의 진화
- 공급망 분석
- 에코시스템 분석
- 투자 상황과 자금조달 시나리오
- 생성형 AI가 AI 에이전트 시장에 미치는 영향
- 사례 연구 분석
- 기술 분석
- 규제 상황
- 특허 분석
- 가격 분석
- 주요 컨퍼런스와 이벤트(2025-2026)
- Porter's Five Forces 분석
- AI 에이전트 기술 로드맵
- AI 에이전트 비즈니스 모델
- 주요 이해관계자와 구입 기준
- 고객 비즈니스에 영향을 미치는 동향/혼란
제6장 AI 에이전트 시장, 에이전트 시스템별
- 서론
- 싱글 에이전트 시스템
- 멀티 에이전트 시스템
제7장 AI 에이전트 시장, 제품 유형별
- 서론
- R2D(READY-TO-DEPLOY) 에이전트
- BYO(BUILD-YOUR-OWN) 에이전트
제8장 AI 에이전트 시장, 에이전트 역할별
- 서론
- 생산성과 퍼스널 어시스턴트
- 판매
- 마케팅
- 법무
- 고객 서비스와 지원
- 코딩과 소프트웨어 개발
- 제품 관리
- 회계
- 인사
- 비즈니스 인텔리전스
- 기타
제9장 AI 에이전트 시장, 최종사용자별
제10장 AI 에이전트 시장, 지역별
- 서론
- 북미
- 북미 : AI 에이전트 시장 성장 촉진요인
- 북미 : 거시경제 전망
- 미국
- 캐나다
- 유럽
- 유럽 : AI 에이전트 시장 성장 촉진요인
- 유럽 : 거시경제 전망
- 영국
- 독일
- 프랑스
- 이탈리아
- 스페인
- 네덜란드
- 기타
- 아시아태평양
- 아시아태평양 : AI 에이전트 시장 성장 촉진요인
- 아시아태평양 : 거시경제 전망
- 중국
- 인도
- 일본
- 한국
- 호주와 뉴질랜드
- 싱가포르
- 기타
- 중동 및 아프리카
- 중동 및 아프리카 : AI 에이전트 시장 성장 촉진요인
- 중동 및 아프리카 : 거시경제 전망
- 사우디아라비아
- 아랍에미리트
- 카타르
- 터키
- 기타
- 아프리카
- 라틴아메리카
- 라틴아메리카 : AI 에이전트 시장 성장 촉진요인
- 라틴아메리카 : 거시경제 전망
- 브라질
- 멕시코
- 아르헨티나
- 기타
제11장 경쟁 구도
- 개요
- 주요 참여 기업의 전략/강점
- 매출 분석
- 시장 점유율 분석
- 제품 비교 분석
- 기업 가치 평가와 재무 지표
- 기업 평가 매트릭스 : 주요 참여 기업, 2023년
- 기업 평가 매트릭스 : 스타트업/중소기업, 2023년
- 경쟁 시나리오와 동향
제12장 기업 개요
- 서론
- 주요 참여 기업
- IBM
- MICROSOFT
- GOOGLE
- AWS
- NVIDIA
- ORACLE
- SALESFORCE
- OPENAI
- LIVEPERSON
- TEMPUS AI
- KORE.AI
- LEEWAYHERTZ
- CS DISCO
- AEROGILITY
- GUPSHUP
- HIREVUE
- HELPSHIFT
- FLUID AI
- AMELIA
- IRISITY
- COGITO
- SMARTACTION
- 스타트업/중소기업의 개요
- TOVIE AI
- COGNOSYS
- AISERA
- MARKOVATE
- RASA
- STABILITY AI
- INFINITUS SYSTEMS
- SIERRA
- LEVEL AI
- SYBILL AI
- TRUVA
- LEENA AI
- TARS
- TALKIE.AI
- HEYMILO AI
- CUJO AI
- ONEAI
- LOCALE.AI
- COGNIGY
- NEWO.AI
- BEAM AI
- CAUSALENS
- KRISP
- RELEVANCE AI
- SPELL
- BLUEJ
- LUMINANCE
- LAWGEEX
제13장 인접 시장과 관련 시장
제14장 부록
KSA
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.
| Scope of the Report |
|---|
| Years Considered for the Study | 2019-2030 |
| Base Year | 2023 |
| Forecast Period | 2024-2030 |
| Units Considered | USD (Million) |
| Segments | Agent System, Product Type, Agent Role, End Users, and Region |
| Regions covered | North America, Europe, Asia Pacific, Middle East & Africa, and Latin America |
"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%
The report includes the study of key players offering AI agents solutions. It profiles major vendors in the AI agents market. The 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).
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.
TABLE OF CONTENTS
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 Challenges in Enhancing Contextual Understanding of AI Agents
- 5.2.4.2 Ethical and bias concerns in AI agents to threaten trust and compliance in sensitive applications
- 5.2.4.3 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 PRODUCTIVITY & PERSONAL ASSISTANTS
- 5.5.2 SALES
- 5.5.3 MARKETING
- 5.5.4 CUSTOMER SERVICE & SUPPORT
- 5.5.5 LEGAL
- 5.5.6 PRODUCT MANAGEMENT
- 5.5.7 CODING/SOFTWARE DEVELOPMENT
- 5.5.8 HUMAN RESOURCES
- 5.5.9 BUSINESS INTELLIGENCE
- 5.5.10 FINANCE & ACCOUNTING
- 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
- 5.8.1.3 Cardi: Enhancing Customer Experience at BNP Paribas Cardif
- 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
- 5.8.5 LEGAL
- 5.8.5.1 Beam: Enhancing Patient Support with AI Automation
- 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 Kunstlicher Intelligenz (AI Regulation Law)
- 5.10.2.2.3 Loi pour une Republique numerique (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
- 5.12 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 (2025-2026)
- 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
- 12.2.1.4 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 Recent developments
- 12.2.5.4 MnM view
- 12.2.5.4.1 Key strengths
- 12.2.5.4.2 Strategic choices
- 12.2.5.4.3 Weaknesses and competitive threats
- 12.2.6 ORACLE
- 12.2.6.1 Business overview
- 12.2.6.2 Products/Solutions/Services offered
- 12.2.6.3 Recent developments
- 12.2.6.3.1 Product launches
- 12.2.6.3.2 Deals
- 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 TOVIE AI
- 12.3.1.1 Business overview
- 12.3.1.2 Products/Solutions/Services offered
- 12.3.1.3 Recent developments
- 12.3.1.3.1 Product launches
- 12.3.1.3.2 Deals
- 12.3.2 COGNOSYS
- 12.3.3 AISERA
- 12.3.4 MARKOVATE
- 12.3.5 RASA
- 12.3.6 STABILITY AI
- 12.3.7 INFINITUS SYSTEMS
- 12.3.8 SIERRA
- 12.3.9 LEVEL AI
- 12.3.10 SYBILL AI
- 12.3.11 TRUVA
- 12.3.12 LEENA AI
- 12.3.13 TARS
- 12.3.14 TALKIE.AI
- 12.3.15 HEYMILO AI
- 12.3.16 CUJO AI
- 12.3.17 ONEAI
- 12.3.18 LOCALE.AI
- 12.3.19 COGNIGY
- 12.3.20 NEWO.AI
- 12.3.21 BEAM AI
- 12.3.22 CAUSALENS
- 12.3.23 KRISP
- 12.3.24 RELEVANCE AI
- 12.3.25 SPELL
- 12.3.26 BLUEJ
- 12.3.27 LUMINANCE
- 12.3.28 LAWGEEX
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
