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AIaaS(Artificial Intelligence As A Service) 시장 규모, 점유율, 성장 분석 : 기술별, 서비스 유형별, 조직 규모별, 배포별, 업종별, 지역별 - 산업 예측(2025-2032년)

Artificial Intelligence As A Service Market Size, Share, and Growth Analysis, By Technology, By Service Type, By Organization Size, By Deployment, By Vertical, By Region - Industry Forecast 2025-2032

발행일: | 리서치사: SkyQuest | 페이지 정보: 영문 197 Pages | 배송안내 : 3-5일 (영업일 기준)

    
    
    



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AIaaS(Artificial Intelligence As A Service) 시장 규모는 2023년에 126억 7,000만 달러에 달하며, 2024년 173억 6,000만 달러에서 2032년에는 2,154억 1,000만 달러로 성장하며, 예측 기간(2025-2032년)의 CAGR은 37.0%로 성장할 전망입니다.

세계 조직들은 인공지능(AI)의 잠재력을 최대한 활용하여 자동화, 사용성 및 가용성을 향상시키고 있으며, AI의 미래는 사물인터넷(IoT) 및 5G 네트워크와 같은 신기술과 통합되면서 데이터 프라이버시를 우선시하는 맞춤형 솔루션으로 발전할 것으로 예상하고 있습니다. 기대가 모아지고 있습니다. 개발도상국을 중심으로 각국 정부는 AI의 능력을 인정하고 AI 인프라 구축에 적극적으로 투자하고 있습니다. 예를 들어 인도의 Niti Aayog는 국가 차원의 AI 구상을 출범하고, 머신러닝 및 3D 프린팅과 같은 기술을 발전시키기 위해 R&D 및 디지털 인디아(Digital India)에 대한 예산을 늘리고 있습니다. 클라우드 플랫폼을 통해 AI 툴을 이용할 수 있게 됨으로써 기업은 사전 전문 지식 없이도 자동화된 음성, 시각, 언어 서비스를 제공함으로써 종합적인 데이터 최적화와 혁신적인 인사이트를 얻을 수 있게 되었습니다.

목차

서론

  • 조사의 목적
  • 조사 범위
  • 정의

조사 방법

  • 정보 조달
  • 2차와 1차 데이터 방법
  • 시장 규모 예측
  • 시장의 전제조건과 제한

개요

  • 세계 시장 전망
  • 공급과 수요 동향 분석
  • 부문별 기회 분석

시장 역학과 전망

  • 시장 개요
  • 시장 규모
  • 시장 역학
    • 촉진요인과 기회
    • 억제요인과 과제
  • Porter의 산업 분석

주요 시장 인사이트

  • 주요 성공 요인
  • 경쟁의 정도
  • 주요 투자 기회
  • 시장 에코시스템
  • 시장의 매력 지수(2024년)
  • PESTEL 분석
  • 거시경제 지표
  • 밸류체인 분석
  • 가격 분석
  • 사례 연구
  • 기술의 진보
  • 규제 상황
  • 특허 분석

AIaaS(Artificial Intelligence As A Service) 시장 규모 : 기술별 & CAGR(2025-2032)

  • 시장 개요
  • 기계학습
  • 자연언어처리
  • 컴퓨터 비전
  • 기타

AIaaS(Artificial Intelligence As A Service) 시장 규모 : 서비스 유형별 & CAGR(2025-2032)

  • 시장 개요
  • 소프트웨어
  • 서비스

AIaaS(Artificial Intelligence As A Service) 시장 규모 : 조직 규모별 & CAGR(2025-2032)

  • 시장 개요
  • 중소기업
  • 대기업

AIaaS(Artificial Intelligence As A Service) 시장 규모 : 배포별 & CAGR(2025-2032)

  • 시장 개요
  • 퍼블릭 클라우드
  • 프라이빗 클라우드
  • 하이브리드 클라우드

AIaaS(Artificial Intelligence As A Service) 시장 규모 : 업종별 & CAGR(2025-2032)

  • 시장 개요
  • BFSI
  • 헬스케어
  • 소매
  • IT 및 통신
  • 제조업
  • 정부
  • 에너지와 유틸리티
  • 기타

AIaaS(Artificial Intelligence As A Service) 시장 규모 : 지역별 & CAGR(2025-2032)

  • 북미
    • 미국
    • 캐나다
  • 유럽
    • 독일
    • 스페인
    • 프랑스
    • 영국
    • 이탈리아
    • 기타 유럽 지역
  • 아시아태평양
    • 중국
    • 인도
    • 일본
    • 한국
    • 기타 아시아태평양
  • 라틴아메리카
    • 브라질
    • 기타 라틴아메리카 지역
  • 중동 및 아프리카
    • GCC 국가
    • 남아프리카공화국
    • 기타 중동 및 아프리카

경쟁 정보

  • 상위 5사의 비교
  • 주요 기업의 시장 포지셔닝(2024년)
  • 주요 시장 기업이 채택한 전략
  • 최근 시장 동향
  • 기업의 시장 점유율 분석(2024년)
  • 주요 기업의 기업 개요
    • 기업의 상세
    • 제품 포트폴리오 분석
    • 기업의 부문별 점유율 분석
    • 매출의 전년대비 비교(2022-2024)

주요 기업 개요

  • Amazon Web Services(USA)
  • IBM Corporation(USA)
  • Microsoft Corporation(USA)
  • Google LLC(USA)
  • Salesforce(USA)
  • Baidu, Inc.(China)
  • Intel Corporation(USA)
  • SAP SE(Germany)
  • SAS Institute(USA)
  • BigML(USA)
  • Automation Anywhere, Inc.(USA)
  • H2O.ai(USA)
  • DataRobot(USA)
  • Oracle Corporation(USA)
  • Alibaba Cloud(China)
  • Tencent Cloud(China)
  • Infosys Limited(India)
  • Wipro Limited(India)
  • Tata Consultancy Services(TCS)(India)

결론과 제안

KSA 25.03.27

Artificial Intelligence As A Service Market size was valued at USD 12.67 billion in 2023 and is poised to grow from USD 17.36 billion in 2024 to USD 215.41 billion by 2032, growing at a CAGR of 37.0% during the forecast period (2025-2032).

Organizations globally are harnessing the full potential of artificial intelligence (AI) to enhance automation, usability, and availability. The future of AI holds promise in customizable solutions that prioritize data privacy while integrating with emerging technologies such as the Internet of Things (IoT) and 5G networks. Governments, particularly in developing nations, acknowledge AI's capabilities and are actively investing in AI infrastructure. For example, India's Niti Aayog has launched a national AI initiative, boosting budgets for R&D and Digital India to advance technologies like machine learning and 3D printing. The rise of AI as a Service (AIaaS) allows businesses to utilize AI tools through cloud platforms, offering automated voice, vision, and language services without requiring prior expertise, thus opening doors for comprehensive data optimization and innovative insights.

Top-down and bottom-up approaches were used to estimate and validate the size of the Artificial Intelligence As A Service market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Artificial Intelligence As A Service Market Segments Analysis

Global Artificial Intelligence As A Service Market is segmented by Technology, Service Type, Organization Size, Deployment, Vertical and region. Based on Technology, the market is segmented into Machine Learning, Natural Language Processing, Computer Vision and Others. Based on Service Type, the market is segmented into Software and Services. Based on Organization Size, the market is segmented into Small and Medium-sized Enterprises (SMEs) and Large Enterprises. Based on Deployment, the market is segmented into Public Cloud, Private Cloud and Hybrid Cloud. Based on Vertical, the market is segmented into BFSI, Healthcare, Retail, IT and Telecom, Manufacturing, Government, Energy and Utilities and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Artificial Intelligence As A Service Market

The growth of the Artificial Intelligence as a Service (AIaaS) market is driven by several factors. Firstly, AI organizes vast amounts of data, facilitating better record maintenance and retrieval when needed. Additionally, the integration of cloud computing solutions offers benefits like reduced costs and enhanced reliability, alleviating the need for dedicated IT maintenance teams within organizations. Furthermore, the increasing demand for flexible payment options from various service providers caters to businesses by aligning costs with actual usage, promoting cost-effectiveness. Collectively, these elements are expected to significantly boost the market value of AIaaS in the coming years.

Restraints in the Artificial Intelligence As A Service Market

One significant restraint facing the Artificial Intelligence As A Service (AIaaS) market is the shortage of skilled and experienced professionals, which is likely to hinder growth during the foreseeable future. As AI is a relatively nascent field within the business sector, companies are struggling to find experts who possess the appropriate skills. Although the rise of digitalization has significantly contributed to the expansion of AIaaS, developing the necessary expertise to maximize its potential is a time-consuming endeavor. However, practical training, learning initiatives, and certification programs provided by AIaaS platforms are expected to cultivate a skilled workforce, mitigating the talent gap in the global market over the projected period.

Market Trends of the Artificial Intelligence As A Service Market

The Artificial Intelligence as a Service (AIaaS) market is increasingly shaped by the rise of AI microservices, as organizations seek tailored solutions to enhance operational efficiency. With industries across the board embracing advanced technologies like machine learning, computer vision, and deep learning, the demand for customizable AI microservices has surged. These modular components allow businesses to adopt AI capabilities that align perfectly with their unique requirements, facilitating rapid deployment and scalability. Consequently, this trend not only streamlines the integration process but also drives innovation, positioning AIaaS as an essential component of the modern digital transformation strategy across various sectors.

Table of Contents

Introduction

  • Objectives of the Study
  • Scope of the Report
  • Definitions

Research Methodology

  • Information Procurement
  • Secondary & Primary Data Methods
  • Market Size Estimation
  • Market Assumptions & Limitations

Executive Summary

  • Global Market Outlook
  • Supply & Demand Trend Analysis
  • Segmental Opportunity Analysis

Market Dynamics & Outlook

  • Market Overview
  • Market Size
  • Market Dynamics
    • Drivers & Opportunities
    • Restraints & Challenges
  • Porters Analysis
    • Competitive rivalry
    • Threat of substitute
    • Bargaining power of buyers
    • Threat of new entrants
    • Bargaining power of suppliers

Key Market Insights

  • Key Success Factors
  • Degree of Competition
  • Top Investment Pockets
  • Market Ecosystem
  • Market Attractiveness Index, 2024
  • PESTEL Analysis
  • Macro-Economic Indicators
  • Value Chain Analysis
  • Pricing Analysis
  • Case Studies
  • Technology Advancement
  • Regulatory Landscape
  • Patent Analysis

Global Artificial Intelligence As A Service Market Size by Technology & CAGR (2025-2032)

  • Market Overview
  • Machine Learning
  • Natural Language Processing
  • Computer Vision
  • Others

Global Artificial Intelligence As A Service Market Size by Service Type & CAGR (2025-2032)

  • Market Overview
  • Software
  • Services

Global Artificial Intelligence As A Service Market Size by Organization Size & CAGR (2025-2032)

  • Market Overview
  • Small and Medium-sized Enterprises (SMEs)
  • Large Enterprises

Global Artificial Intelligence As A Service Market Size by Deployment & CAGR (2025-2032)

  • Market Overview
  • Public Cloud
  • Private Cloud
  • Hybrid Cloud

Global Artificial Intelligence As A Service Market Size by Vertical & CAGR (2025-2032)

  • Market Overview
  • BFSI
  • Healthcare
  • Retail
  • IT and Telecom
  • Manufacturing
  • Government
  • Energy and Utilities
  • Others

Global Artificial Intelligence As A Service Market Size & CAGR (2025-2032)

  • North America (Technology, Service Type, Organization Size, Deployment, Vertical)
    • US
    • Canada
  • Europe (Technology, Service Type, Organization Size, Deployment, Vertical)
    • Germany
    • Spain
    • France
    • UK
    • Italy
    • Rest of Europe
  • Asia Pacific (Technology, Service Type, Organization Size, Deployment, Vertical)
    • China
    • India
    • Japan
    • South Korea
    • Rest of Asia-Pacific
  • Latin America (Technology, Service Type, Organization Size, Deployment, Vertical)
    • Brazil
    • Rest of Latin America
  • Middle East & Africa (Technology, Service Type, Organization Size, Deployment, Vertical)
    • GCC Countries
    • South Africa
    • Rest of Middle East & Africa

Competitive Intelligence

  • Top 5 Player Comparison
  • Market Positioning of Key Players, 2024
  • Strategies Adopted by Key Market Players
  • Recent Developments in the Market
  • Company Market Share Analysis, 2024
  • Company Profiles of All Key Players
    • Company Details
    • Product Portfolio Analysis
    • Company's Segmental Share Analysis
    • Revenue Y-O-Y Comparison (2022-2024)

Key Company Profiles

  • Amazon Web Services (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • IBM Corporation (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Microsoft Corporation (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Google LLC (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Salesforce (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Baidu, Inc. (China)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Intel Corporation (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • SAP SE (Germany)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • SAS Institute (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • BigML (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Automation Anywhere, Inc. (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • H2O.ai (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • DataRobot (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Oracle Corporation (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Alibaba Cloud (China)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Tencent Cloud (China)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Infosys Limited (India)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Wipro Limited (India)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Tata Consultancy Services (TCS) (India)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments

Conclusion & Recommendations

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