人工智慧即服務 (AIaaS) 市場規模、佔有率和成長分析(按服務類型、部署方式、技術和地區分類)—產業預測,2026-2033 年
市場調查報告書
商品編碼
1896059

人工智慧即服務 (AIaaS) 市場規模、佔有率和成長分析(按服務類型、部署方式、技術和地區分類)—產業預測,2026-2033 年

Artificial Intelligence As A Service Market Size, Share, and Growth Analysis, By Service Type (Software, Services), By Deployment (Public Cloud, Hybrid Cloud), By Technology, By Region -Industry Forecast 2026-2033

出版日期: | 出版商: SkyQuest | 英文 197 Pages | 商品交期: 3-5個工作天內

價格
簡介目錄

預計到 2024 年,人工智慧即服務 (AIaaS) 市場規模將達到 173.6 億美元,到 2025 年將達到 237.8 億美元,到 2033 年將達到 2951.4 億美元,在預測期(2026-2033 年將達到 2951.4 億美元,在預測期(2026-2033 年)內複合年成長率為 37%。

全球各地的組織正在加速應用人工智慧 (AI),以實現新的自動化功能並提升便利性。未來,在開發可客製化的 AI 解決方案、加強資料隱私保護以及與物聯網 (IoT) 和 5G 等新興技術整合方面,蘊藏著巨大的發展機會。政府機構,尤其是在新興市場,認知到 AI 的巨大潛力,正在積極推動 AI 基礎設施的建設。人工智慧即服務 (AIaaS) 透過雲端平台提供一套全面的 AI 工具,使企業能夠獲得自動語音辨識、影像識別和語言識別功能,從而發揮關鍵作用。 AI 的普及化使企業無需專業知識即可最佳化數據並獲得寶貴的洞察,從而使更廣泛的用戶群能夠更便捷地使用先進的 AI 技術。

AIaaS(人工智慧即服務)市場促進因素

全球人工智慧即服務 (AIaaS) 市場的主要驅動力是雲端運算技術的快速發展,這促進了人工智慧解決方案的廣泛應用和擴充性。越來越多的企業選擇 AIaaS 來利用先進的演算法和機器學習模型,而無需在基礎設施和專業知識方面進行大量的前期投資。這種轉變使各種規模的企業都能提高營運效率、創新產品和服務並改善決策流程。隨著企業尋求競爭優勢並利用數據驅動的洞察力,對易於使用且經濟高效的人工智慧解決方案的需求持續成長,從而推動了市場成長。

AIaaS(人工智慧即服務)市場的限制

全球人工智慧即服務 (AIaaS) 市場的主要限制因素之一是人們對資料隱私和安全的持續擔憂。隨著企業對人工智慧驅動解決方案的依賴程度不斷提高,它們面臨管理大量敏感資料的需求,這引發了人們對潛在資料外洩和濫用的擔憂。諸如 GDPR 和類似框架等監管合規要求進一步增加了 AIaaS 解決方案部署的複雜性。確保資料保護的複雜性可能會阻礙企業採用 AIaaS,從而限制市場成長,並阻礙人工智慧技術在各個領域的全面應用。

AIaaS(人工智慧即服務)市場趨勢

在人工智慧即服務 (AIaaS) 市場,人工智慧微服務的採用已成為一個顯著趨勢,其驅動力來自各行各業對專業技術解決方案日益成長的需求。企業越來越傾向於尋求客製化的人工智慧實施方案,以提高營運效率並解決獨特的業務挑戰。向微服務的轉變使企業能夠將機器學習、電腦視覺和深度學習等客製化的人工智慧功能整合到現有的工作流程中。隨著企業將柔軟性和擴充性置於優先地位,人工智慧微服務正成為關鍵的建置模組,使企業能夠快速有效地採用先進技術,同時最佳化資源分配。

目錄

介紹

  • 調查目標
  • 調查範圍
  • 定義

調查方法

  • 資訊收集
  • 二手資料和一手資料方法
  • 市場規模預測
  • 市場假設與限制

執行摘要

  • 全球市場展望
  • 供需趨勢分析
  • 細分市場機會分析

市場動態與展望

  • 市場規模
  • 市場動態
    • 促進因素和機遇
    • 限制與挑戰
  • 波特分析

關鍵市場考察

  • 關鍵成功因素
  • 競爭程度
  • 關鍵投資機會
  • 市場生態系統
  • 市場吸引力指數(2025)
  • PESTEL 分析
  • 總體經濟指標
  • 價值鏈分析
  • 定價分析
  • 案例研究
  • 技術進步
  • 監管環境
  • 專利分析

全球人工智慧即服務 (AIaaS) 市場規模(按技術分類)及複合年成長率 (2026-2033)

  • 機器學習
  • 自然語言處理
  • 電腦視覺
  • 其他

全球人工智慧即服務 (AIaaS) 市場規模(按服務類型和複合年成長率分類)(2026-2033 年)

  • 軟體
  • 服務

全球人工智慧即服務 (AIaaS) 市場規模(按組織規模和複合年成長率分類)(2026-2033 年)

  • 中小企業
  • 主要企業

全球人工智慧即服務 (AIaaS) 市場規模按部署類型和複合年成長率分類 (2026-2033)

  • 公共雲端
  • 私有雲端
  • 混合雲端

全球人工智慧即服務 (AIaaS) 市場規模(按行業分類)及複合年成長率 (2026-2033)

  • BFSI
  • 衛生保健
  • 零售
  • 資訊科技/通訊
  • 製造業
  • 政府
  • 能源與公共產業
  • 其他

全球人工智慧即服務 (AIaaS) 市場規模及複合年成長率 (2026-2033)

  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 德國
    • 西班牙
    • 法國
    • 英國
    • 義大利
    • 其他歐洲地區
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 韓國
    • 亞太其他地區
  • 拉丁美洲
    • 巴西
    • 其他拉丁美洲地區
  • 中東和非洲
    • 海灣合作理事會國家
    • 南非
    • 其他中東和非洲地區

競爭資訊

  • 前五大公司對比
  • 主要企業的市場定位(2025 年)
  • 主要市場參與者所採取的策略
  • 近期市場趨勢
  • 公司市佔率分析(2025 年)
  • 主要企業公司簡介
    • 公司詳情
    • 產品系列分析
    • 依業務板塊進行公司股票分析
    • 2023-2025年營收年比比較

主要企業簡介

  • 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)

結論與建議

簡介目錄
Product Code: SQMIG45I2071

Artificial Intelligence As A Service Market size was valued at USD 17.36 Billion in 2024 and is poised to grow from USD 23.78 Billion in 2025 to USD 295.14 Billion by 2033, growing at a CAGR of 37% during the forecast period (2026-2033).

Organizations globally are increasingly leveraging Artificial Intelligence (AI) to unlock new automation capabilities and enhance usability. There are significant future opportunities centered on developing customizable AI solutions, strengthening data privacy, and integrating with emerging technologies like the Internet of Things (IoT) and 5G. Government entities, particularly in emerging markets, recognize AI's potential and are actively promoting AI-driven infrastructure development. AI as a Service (AIaaS) plays a crucial role by offering a comprehensive suite of AI tools via cloud platforms, enabling businesses to access automated voice, vision, and language recognition capabilities. This democratization of AI allows companies to optimize data and gain valuable insights without requiring prior expertise, making advanced AI technology accessible to a wider audience.

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

A key market driver for the Global Artificial Intelligence as a Service (AIaaS) market is the rapid advancement in cloud computing technologies, which facilitates the widespread availability and scalability of AI solutions. Organizations are increasingly opting for AIaaS to leverage sophisticated algorithms and machine learning models without the need for substantial upfront investments in infrastructure and expertise. This shift allows businesses of all sizes to enhance their operational efficiency, innovate their products and services, and improve decision-making processes. As companies seek to gain a competitive edge and harness data-driven insights, the demand for accessible and cost-effective AI solutions continues to rise, driving market growth.

Restraints in the Artificial Intelligence As A Service Market

One of the significant market restraints for the Global Artificial Intelligence as a Service (AIaaS) market is the persistent concern surrounding data privacy and security. As organizations increasingly rely on AI-driven solutions, they are compelled to manage vast amounts of sensitive data, which raises apprehensions about potential breaches and misuse. Regulatory compliance, such as GDPR and similar frameworks, further complicates the implementation of AIaaS solutions. The complexities involved in ensuring data protection can deter businesses from adopting AIaaS, thereby limiting market growth and hindering the overall acceptance of AI technologies across various sectors.

Market Trends of the Artificial Intelligence As A Service Market

The Artificial Intelligence as a Service (AIaaS) market is witnessing a significant trend towards the adoption of AI microservices, driven by the growing demand for specialized technological solutions across diverse industries. Companies are increasingly seeking customized AI implementations that enhance operational efficiency and address unique business challenges. This shift towards microservices allows organizations to integrate tailored AI capabilities, such as machine learning, computer vision, and deep learning, into their existing workflows. As businesses prioritize flexibility and scalability, AI microservices are emerging as a critical component, enabling organizations to adopt advanced technologies swiftly and effectively while optimizing resource allocation.

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, 2025
  • 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 (2026-2033)

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

Global Artificial Intelligence As A Service Market Size by Service Type & CAGR (2026-2033)

  • Market Overview
  • Software
  • Services

Global Artificial Intelligence As A Service Market Size by Organization Size & CAGR (2026-2033)

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

Global Artificial Intelligence As A Service Market Size by Deployment & CAGR (2026-2033)

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

Global Artificial Intelligence As A Service Market Size by Vertical & CAGR (2026-2033)

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

Global Artificial Intelligence As A Service Market Size & CAGR (2026-2033)

  • 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, 2025
  • Strategies Adopted by Key Market Players
  • Recent Developments in the Market
  • Company Market Share Analysis, 2025
  • Company Profiles of All Key Players
    • Company Details
    • Product Portfolio Analysis
    • Company's Segmental Share Analysis
    • Revenue Y-O-Y Comparison (2023-2025)

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