시장보고서
상품코드
1740733

세계의 AI 에이전트 시장 : 제공 구분, 에이전트, 제품 유형, 에이전트 역할, 최종사용자 산업, 지역별 기회 및 예측(2018-2032년)

Global AI Agents Market Assessment, By Offerings, By Agents, By Product Type, By Agent Role, By End-user Industry, Region, Opportunities and Forecast, 2018-2032F

발행일: | 리서치사: Markets & Data | 페이지 정보: 영문 233 Pages | 배송안내 : 3-5일 (영업일 기준)

    
    
    




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세계 AI 에이전트 시장 규모는 2025년부터 2032년까지 예측 기간 동안 30.23%의 연평균 복합 성장률(CAGR)로 성장하여 2024년 53억 1,000만 달러에서 2032년에는 439억 3,000만 달러에 달할 것으로 예측됩니다.

세계 AI 에이전트 시장은 생성형 AI, 자연어 처리(NLP), 자동화 기술의 혁신으로 인해 괄목할 만한 성장을 거듭하고 있습니다. 의료, 금융, 소매 등의 분야에서 첨단 기술이 도입되면서 AI 에이전트는 업무 효율성, 전략적 의사결정, 고객 경험을 재정의하고 있습니다. 지능적이고 확장 가능한 AI 솔루션에 대한 투자가 증가함에 따라 시장은 앞으로도 꾸준히 성장할 것으로 예측됩니다.

기업들이 효율성 향상, 사용자 경험 개선, 비용 절감을 위해 AI 에이전트는 스마트한 업무 자동화, 고객 지원, 데이터 처리, 예측 분석 등 다양한 분야에 도입되고 있습니다. 생성형 AI, 자연어 처리, 강화 학습과 같은 기술의 발전으로 AI 에이전트는 보다 인간적이고, 확장 가능하며, 다양한 용도에 적응할 수 있는 존재로 진화하고 있습니다. 업계 전반에 걸쳐 특정 업무에 특화된 에이전트 및 멀티모달 AI 에이전트에 대한 수요가 증가하고 있으며, 기업들은 업무 효율성 향상, 비용 절감, 고객 경험 개선을 위해 이러한 에이전트의 도입을 가속화하고 있습니다. 또한, Microsoft의 Copilot 프레임워크와 OpenAI의 GPT 에이전트로 대표되는 플랫폼형 에코시스템의 등장은 확장 가능하고 고도로 통합된 AI 솔루션으로의 명확한 전환을 보여주고 있습니다. 클라우드 플랫폼을 통한 기반 모델의 가용성 확대와 AI 인프라의 민주화도 시장 성장을 가속하고 있습니다. 전략적 파트너십, 대규모 투자, 제품 혁신이 경쟁 환경을 형성하는 주요 요소로 작용하고 있습니다.

예를 들어, 2024년 7월 BRYTER는 법무 업무를 효율화할 수 있는 AI 에이전트를 발표했습니다. 이 에이전트는 계약서 검토와 Outlook 및 Gmail에서 이메일 회신 작성을 직접 지원합니다. 이러한 솔루션은 자동화가 단순한 규칙 기반 처리에 그치지 않고 복잡한 의사결정 활동까지 확장되고 있음을 보여줍니다.

또한, AI 에이전트 시장은 기술 혁신, 기업 도입, 사용자 기대치의 변화가 교차하는 최전선에 있습니다. 지식 노동의 자동화, 의사결정의 고도화, 대량의 사용자 경험의 개인화를 실현함으로써 이 시장은 AI 퍼스트 세상에서 비즈니스의 방식을 근본적으로 변화시킬 것으로 예측됩니다. 향후 성장 단계에서는 AI 에이전트가 단순히 반응하는 것에서 벗어나 보다 능동적이고 적응적이며 자율적으로 행동할 것으로 예측됩니다.

세계의 AI 에이전트(AI Agent) 시장을 조사했으며, 시장 정의와 개요, 시장 규모 동향과 예측, 각종 분류별 상세 분석, 산업 구조, 시장 성장 촉진요인 분석, 경쟁 구도, 주요 기업 개요 등의 정보를 전해드립니다.

목차

제1장 프로젝트의 범위와 정의

제2장 조사 방법

제3장 미국 관세의 영향

제4장 주요 요약

제5장 고객의 소리

  • 응답자 인구통계
  • 브랜드 인지도
  • 구입 결정시에 고려되는 요소
  • 구입 후에 직면하는 과제

제6장 세계의 AI 에이전트 시장 전망

  • 시장 규모 분석, 예측
  • 시장 점유율 분석, 예측
    • 제공 구분별
      • 수직 AI 에이전트
      • 수평 AI 에이전트
    • 에이전트별
      • 싱글 에이전트 시스템
      • 멀티 에이전트 시스템
    • 제품 유형별
      • Ready-to-Deploy Agents
      • Build-Your-Own Agents
    • 에이전트 역할별
      • 생산성 및 퍼스널 어시스턴트
      • 판매
      • 마케팅
      • 오퍼레이션 및 공급망
      • 기타
    • 최종사용자 산업별
      • 은행, 금융서비스 및 보험(BFSI)
      • 미디어
      • IT 및 통신
      • 소매 및 E-Commerce
      • 기타
    • 지역별
      • 북미
      • 유럽
      • 아시아태평양
      • 남미
      • 중동 및 아프리카
    • 기업 점유율 분석(주요 5개사 및 기타)
  • 시장 맵 분석

제7장 북미의 AI 에이전트 시장 전망

  • 시장 규모 분석, 예측
  • 시장 점유율 분석, 예측
  • 국가별 시장 평가
    • 캐나다
    • 멕시코

제8장 유럽의 AI 에이전트 시장 전망

  • 독일
  • 프랑스
  • 이탈리아
  • 영국
  • 러시아
  • 네덜란드
  • 스페인
  • 튀르키예
  • 폴란드

제9장 아시아태평양의 AI 에이전트 시장 전망

  • 인도
  • 중국
  • 일본
  • 호주
  • 베트남
  • 한국
  • 인도네시아
  • 필리핀

제10장 남미의 AI 에이전트 시장 전망

  • 브라질
  • 아르헨티나

제11장 중동 및 아프리카의 AI 에이전트 시장 전망

  • 사우디아라비아
  • 아랍에미리트(UAE)
  • 남아프리카공화국

제12장 Porter의 Five Forces 분석

제13장 PESTLE 분석

제14장 시장 역학

  • 시장 성장 촉진요인
  • 시장이 해결해야 할 과제

제15장 시장 동향 및 전개

제16장 사례 연구

제17장 경쟁 구도

  • 주요 5개사의 경쟁 매트릭스
  • 주요 5개사의 SWOT 분석
  • 주요 10개사 상황
    • Salesforce, Inc.
    • NVIDIA Corporation
    • Microsoft Corporation
    • Meta Platforms, Inc.
    • IBM Corporation
    • Google LLC
    • Baidu, Inc.
    • Apple Inc.
    • Amazon Web Services, Inc.
    • Infinitus Systems, Inc.

제18장 전략적 제안

제19장 회사 소개 및 면책조항

LSH 25.06.17

Global AI agents market is projected to witness a CAGR of 30.23% during the forecast period 2025-2032, growing from USD 5.31 billion in 2024 to USD 43.93 billion in 2032. The global AI agents market is witnessing significant growth, fueled by innovations in generative AI, natural language processing, and automation. As the adoption of advanced technology expands across sectors such as healthcare, finance, and retail, AI agents are redefining business efficiency, strategic decision-making, and customer experience. The market is expected to grow steadily, supported by rising investments in intelligent and scalable AI solutions.

Businesses started working towards enhancing efficiency, user experience, and cost reduction, AI agents are being implemented for smart task automation, customer support, data handling, and predictive analysis. The development of technologies such as generative AI, natural language processing (NLP), and reinforcement learning has greatly transformed the nature of AI agents to become more human-like, scalable and adaptive to a host of applications. The demand for task-specific and multimodal AI agents across industries is rising. Enterprises are increasingly adopting these agents to enhance operational efficiency, reduce costs, and improve customer experience. The emergence of platform-based ecosystems, such as Microsoft's Copilot framework and OpenAI's GPT agents, reflects a clear shift toward scalable and deeply integrated AI solutions. This growth is also fostered by the democratization of AI infrastructure and the increasing availability of foundation models through cloud platforms. Strategic partnerships, high-value investments, and product innovation are driving the competitive landscape.

For instance, in July 2024, BRYTER released AI Agents that speed up legal operations, including contract reviews and drafting an email response directly in Outlook or Gmail. Such solutions demonstrate how automation is not just confined to straightforward rule-based systems but can now be extended to encompass intricate decision-making activities through AI.

Moreover, the market for AI agents is at the nexus of innovation, enterprise adoption, and changing user expectations. With its ability to automate knowledge work, enhance decision-making, and personalize user experiences in volume, the market is set to reshape the way businesses are conducted in the AI-first world. The growth phase that follows will be characterized by agents that not only respond but are progressively proactive, adaptive, and autonomous.

Rising Demand for Automation Across Industries Fuels Adoption of AI Agents

The growing need for automation in various industries is greatly influencing the global AI agents market. Companies are making greater use of AI agents to automate monotonous, time-consuming tasks to enhance operational efficiency and minimize human error. AI agents are now able to handle customer support queries on their own, process large volumes of data, create insights, and carry out commands through natural language input. This automation era enables companies to improve productivity and simplify operations across categories, including customer service, sales, marketing, legal, and IT.

For instance, in September 2024, Salesforce, Inc. released Agent force, a collection of independent AI agents that are meant to increase workplace productivity by automating sales, service, and marketing-related tasks. Also, as companies strive to stay competitive in the rapidly changing digital world, automation's increasing demand for workflow, reduction in costs, and better customer experience are poised to keep fueling the use and development of AI agents around the world.

Technological Advancements and Strategic Collaborations Accelerate AI Agents Market Growth

The AI agent market is growing rapidly, driven by continuous technological innovation and collaborative business partnerships among leading technology firms. Natural language processing, generative AI, and multimodal learning have made significant contributions to the development of AI agents, i.e., understanding sophisticated instructions, context-dependent decision-making, and conducting activities autonomously in various fields. All these technologies have extended the range of applications of AI agents.

Strategic alliances are leading the way in propelling the industry. For instance, in January 2025, NVIDIA Corporation partnered with IQVIA, Illumina, the Mayo Clinic, and the Arc Institute to use AI agents in healthcare systems. This is for the purpose of speeding up drug discovery, making diagnostics more precise, and optimizing the effectiveness of clinical trials, in the end, towards improving the delivery of patient care. These alliances highlight the necessity for cross-industry innovation and the growing demand for scalable, reliable AI agents that can be seamlessly integrated into current IT infrastructure. With more organizations continuing to emphasize digital transformation to maximize operational effectiveness and responsiveness, these advances in technology and strategic partnerships are bound to be the pillar to sustaining the global market for AI agents.

IT and Telecom Segment Dominates the AI Agents Market

The IT and telecom industry is the leading segment in the AI agents market because it was the first to adopt new technologies and continues to seek operational effectiveness and customer-centricity. As customer data volumes grow, around-the-clock support becomes necessary, and infrastructure requirements become more complicated, businesses in this industry are using AI agents to streamline business operations, automate routine tasks, and provide highly customized user experiences. Artificial intelligence agents are being used for tasks such as network optimization, predictive maintenance, customer support, and cybersecurity threat detection that considerably reduce human workload and improve the efficiency of the service.

Besides, the sector's inclination towards cloud computing, 5G deployment, and digitalization makes smart and scalable AI-based solutions increasingly sought after. The agents automate internal operations and bring in proactive models of support, giving companies an upper hand in a competitive marketplace. For instance, in September 2024, Microsoft Corporation launched fresh innovations in its Microsoft 365 Copilot platform that featured the launch of AI agents that mechanize business processes on both proprietary and third-party applications. The launch reflects the growing reliance of the industry on AI agents to drive efficiency and productivity, confirming IT and telecom's leadership position as the leading segment in driving AI agent take-up globally.

North America Dominates the Global AI Agents Market

North America stands as the leading region in the AI agents market, owing to its advanced technological infrastructure, early adoption of AI-driven solutions, and strong presence of global tech leaders. The region benefits from a well-established ecosystem of innovation, robust R&D funding, and a mature enterprise landscape ready to integrate AI agents into operations spanning customer service, security, retail, healthcare, and manufacturing.

A key factor in North America's dominance is the strategic collaboration between major corporations. For example, in September 2024, IBM Corporation and Salesforce, Inc. announced a partnership to deliver AI-powered autonomous agents tailored for regulated industries such as finance and healthcare. Through this collaboration, companies are empowered to deploy Salesforce's Agent force agents in combination with IBM's Watson AI platform, enabling secure, data-governed automation across mission-critical operations. This highlights the region's focus on practical, enterprise-grade AI solutions. The United States is driving the growth due to significant public and private investments, a strong startup ecosystem, and early deployment of AI across sectors. As organizations increasingly seek intelligent automation and data-driven decision-making, North America is expected to maintain its dominance in the global AI agents market.

Impact of U.S. Tariffs on Global AI Agents Market

Implementation of tariffs on Chinese electronics components by the U.S. has had a major influence on the market for AI agents globally. The tariffs have resulted in higher prices for critical AI hardware, including semiconductors and servers, which are mainly produced in China. Consequently, AI research organizations and AI startups are experiencing greater operational costs, with budgets for hardware buying around 25% fewer computing devices than they did previously. This economic burden is making some startups reconsider their expansion plans and postpone AI model training, which could slow innovation in the industry. Further, the tariffs have also affected well-established supply chains, causing hardware availability and delivery timing uncertainties.

Key Players Landscape and Outlook

The global AI agents market entails a relatively consolidated competitive environment with a mix of established technology leaders and new innovators leading across-the-board leaps. Major brands own substantial market shares together and utilize deep R&D strengths, strategic partnerships, and vast investments to expand the horizons of AI agent use in various industries such as healthcare, finance, telecom, and retail.

Microsoft has taken a lead position through its Corea unit, which is devoted to creating a solid ecosystem of self-reliant agents. Led by veteran Meta executive Jay Parikh, the effort is designed to turn Microsoft into an "AI agent factory" and is strategically integrated into offerings such as GitHub Copilot and Microsoft Azure. Microsoft further introduced robust upgrades to its Copilot suite at the Build 2025 conference, such as the inclusion of autonomous agents and semantic search, solidifying a clear focus on workplace productivity and user experience.

For instance, in March 2025, OpenAI continued its extensive funding, with a USD 40 billion raise at a valuation of USD 300 billion. This indicates escalating investor optimism in the revolutionary potential of generative and agent-based AI platforms in business solutions. As technology for AI agents increases in capacity to perform sophisticated tasks with less human involvement, companies are anticipated to keep emphasizing innovation, collaborations, and product diversification.

Table of Contents

1. Project Scope and Definitions

2. Research Methodology

3. Impact of U.S. Tariffs

4. Executive Summary

5. Voice of Customers

  • 5.1. Respondent Demographics
  • 5.2. Brand Awareness
  • 5.3. Factors Considered in Purchase Decisions
  • 5.4. Challenges Faced Post Purchase

6. Global AI Agents Market Outlook, 2018-2032F

  • 6.1. Market Size Analysis & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share Analysis & Forecast
    • 6.2.1. By Offerings
      • 6.2.1.1. Vertical AI Agents
      • 6.2.1.2. Horizontal AI Agents
    • 6.2.2. By Agents
      • 6.2.2.1. Single-Agent Systems
      • 6.2.2.2. Multi-Agent Systems
    • 6.2.3. By Product Type
      • 6.2.3.1. Ready-to-Deploy Agents
      • 6.2.3.2. Build-Your-Own Agents
    • 6.2.4. By Agent Role
      • 6.2.4.1. Productivity and Personal Assistants
      • 6.2.4.2. Sales
      • 6.2.4.3. Marketing
      • 6.2.4.4. Operations and Supply Chain
      • 6.2.4.5. Others
    • 6.2.5. By End-user Industry
      • 6.2.5.1. BFSI
      • 6.2.5.2. Media
      • 6.2.5.3. IT and Telecom
      • 6.2.5.4. Retail and E-Commerce
      • 6.2.5.5. Others
    • 6.2.6. By Region
      • 6.2.6.1. North America
      • 6.2.6.2. Europe
      • 6.2.6.3. Asia-Pacific
      • 6.2.6.4. South America
      • 6.2.6.5. Middle East and Africa
    • 6.2.7. By Company Market Share Analysis (Top 5 Companies and Others - By Value, 2024)
  • 6.3. Market Map Analysis, 2024
    • 6.3.1. By Offerings
    • 6.3.2. By Agents
    • 6.3.3. By Product Type
    • 6.3.4. By Agent Role
    • 6.3.5. By End-user Industry
    • 6.3.6. By Region

7. North America AI Agents Market Outlook, 2018-2032F

  • 7.1. Market Size Analysis & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share Analysis & Forecast
    • 7.2.1. By Offerings
      • 7.2.1.1. Vertical AI Agents
      • 7.2.1.2. Horizontal AI Agents
    • 7.2.2. By Agents
      • 7.2.2.1. Single-Agent Systems
      • 7.2.2.2. Multi-Agent Systems
    • 7.2.3. By Product Type
      • 7.2.3.1. Ready-to-Deploy Agents
      • 7.2.3.2. Build-Your-Own Agents
    • 7.2.4. By Agent Role
      • 7.2.4.1. Productivity and Personal Assistants
      • 7.2.4.2. Sales
      • 7.2.4.3. Marketing
      • 7.2.4.4. Operations and Supply Chain
      • 7.2.4.5. Others
    • 7.2.5. By End-user Industry
      • 7.2.5.1. BFSI
      • 7.2.5.2. Media
      • 7.2.5.3. IT and Telecom
      • 7.2.5.4. Retail and E-Commerce
      • 7.2.5.5. Others
    • 7.2.6. By Country
      • 7.2.6.1. United States
      • 7.2.6.2. Canada
      • 7.2.6.3. Mexico
  • 7.3. Country Market Assessment
    • 7.3.1. United States AI Agents Market Outlook, 2018-2032F
      • 7.3.1.1. Market Size Analysis & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share Analysis & Forecast
        • 7.3.1.2.1. By Offerings
          • 7.3.1.2.1.1. Vertical AI Agents
          • 7.3.1.2.1.2. Horizontal AI Agents
        • 7.3.1.2.2. By Agents
          • 7.3.1.2.2.1. Single-Agent Systems
          • 7.3.1.2.2.2. Multi-Agent Systems
        • 7.3.1.2.3. By Product Type
          • 7.3.1.2.3.1. Ready-to-Deploy Agents
          • 7.3.1.2.3.2. Build-Your-Own Agents
        • 7.3.1.2.4. By Agent Role
          • 7.3.1.2.4.1. Productivity and Personal Assistants
          • 7.3.1.2.4.2. Sales
          • 7.3.1.2.4.3. Marketing
          • 7.3.1.2.4.4. Operations and Supply Chain
          • 7.3.1.2.4.5. Others
        • 7.3.1.2.5. By End-user Industry
          • 7.3.1.2.5.1. BFSI
          • 7.3.1.2.5.2. Media
          • 7.3.1.2.5.3. IT and Telecom
          • 7.3.1.2.5.4. Retail and E-Commerce
          • 7.3.1.2.5.5. Others

All segments will be provided for all regions and countries covered

8. Europe AI Agents Market Outlook, 2018-2032F

  • 8.1. Germany
  • 8.2. France
  • 8.3. Italy
  • 8.4. United Kingdom
  • 8.5. Russia
  • 8.6. Netherlands
  • 8.7. Spain
  • 8.8. Turkey
  • 8.9. Poland

9. Asia-Pacific AI Agents Market Outlook, 2018-2032F

  • 9.1. India
  • 9.2. China
  • 9.3. Japan
  • 9.4. Australia
  • 9.5. Vietnam
  • 9.6. South Korea
  • 9.7. Indonesia
  • 9.8. Philippines

10. South America AI Agents Market Outlook, 2018-2032F

  • 10.1. Brazil
  • 10.2. Argentina

11. Middle East and Africa AI Agents Market Outlook, 2018-2032F

  • 11.1. Saudi Arabia
  • 11.2. UAE
  • 11.3. South Africa

12. Porter's Five Forces Analysis

13. PESTLE Analysis

14. Market Dynamics

  • 14.1. Market Drivers
  • 14.2. Market Challenges

15. Market Trends and Developments

16. Case Studies

17. Competitive Landscape

  • 17.1. Competition Matrix of Top 5 Market Leaders
  • 17.2. SWOT Analysis for Top 5 Players
  • 17.3. Key Players Landscape for Top 10 Market Players
    • 17.3.1. Salesforce, Inc.
      • 17.3.1.1. Company Details
      • 17.3.1.2. Key Management Personnel
      • 17.3.1.3. Key Products/Services Offered
      • 17.3.1.4. Key Financials (As Reported)
      • 17.3.1.5. Key Market Focus and Geographical Presence
      • 17.3.1.6. Recent Developments/Collaborations/Partnerships/Mergers and Acquisition
    • 17.3.2. NVIDIA Corporation
    • 17.3.3. Microsoft Corporation
    • 17.3.4. Meta Platforms, Inc.
    • 17.3.5. IBM Corporation
    • 17.3.6. Google LLC
    • 17.3.7. Baidu, Inc.
    • 17.3.8. Apple Inc.
    • 17.3.9. Amazon Web Services, Inc.
    • 17.3.10. Infinitus Systems, Inc.

Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.

18. Strategic Recommendations

19. About Us and Disclaimer

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