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市場調查報告書
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1914709

人工智慧即服務 (AIaaS) 市場 - 全球產業規模、佔有率、趨勢、機會及預測（按技術、組織規模、服務類型、雲端類型、垂直產業、地區和競爭格局分類），2021-2031 年

Artificial Intelligence as a Service Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Technology, By Organization Size, By Service Type, By Cloud Type, By Vertical, By Region & Competition, 2021-2031F
出版日期: | 出版商: TechSci Research | 英文 182 Pages | 商品交期: 2-3個工作天內

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簡介目錄

全球人工智慧即服務 (AIaaS) 市場預計將從 2025 年的 171.4 億美元成長到 2031 年的 1,238.9 億美元，複合年成長率 (CAGR) 為 39.05%。 AIaaS 作為一個基於雲端的交付框架，使企業能夠將人工智慧功能和基礎設施外包給外部供應商，從而有效避免巨額的初始資本支出。該市場的強勁成長主要得益於以下幾個因素：企業迫切需要透過可擴展性來降低營運成本；先進技術的廣泛普及降低了中小企業的准入門檻；以及全球各行業對快速數位轉型的日益成長的需求。所有這些因素都為持續創新和高效資源利用創造了有利環境。

市場概覽
預測期 2027-2031
市場規模：2025年 171.4億美元
市場規模：2031年 1238.9億美元
複合年成長率：2026-2031年 39.05%
成長最快的細分市場 軟體工具
最大的市場 北美洲

儘管發展勢頭強勁，但市場在資料隱私和安全方面仍面臨諸多障礙，因為企業往往不願將敏感的專有資訊暴露於共用的第三方雲端環境中。這種擔憂在受監管行業尤為突出，並可能阻礙更廣泛的整合。 CompTIA 在 2025 年報告中指出，為了應對不斷擴大的應用，市場對管理此類應用所需的專業知識有著強勁的需求，報告顯示：“11 月份所有活躍的技術類職位招聘廣告中，有 41% 是針對特定人工智慧相關職位或需要一定人工智慧技能的職位。”

市場促進因素

雲端運算基礎設施的快速普及是全球人工智慧即服務 (AIaaS) 市場的主要驅動力，它能夠無縫地提供複雜的運算能力。主要技術提供者正積極將演算法工具整合到現有平台中，使企業無需管理實體伺服器即可利用高效能運算。這種整合使得雲端使用與人工智慧 (AI) 的採用之間建立了直接聯繫，因為企業可以利用預先建置的環境來加速採用。根據微軟於 2024 年 4 月發布的“2024 會計年度第三季財報”，Azure 和其他雲端服務的收入成長了 31%，其中 7 個百分點的成長是由 AI 服務直接推動的。這表明雲端基礎設施的擴展與基於服務的智慧層採用率的提高密切相關。

此外，隨著企業尋求在最大限度減少資本支出的同時利用生成模型和分析技術，對經濟高效且擴充性的人工智慧解決方案的需求日益成長，正在推動市場擴張。雖然開發專有模型需要對硬體和能源進行大量投資，但基於服務的模型有效地消除了這個准入門檻。史丹佛大學發布的《2024年人工智慧指數報告》顯示，GPT-4等尖端模式的預期訓練成本將達到7,800萬美元，凸顯了許多企業利用共用雲端服務而非建構內部基礎設施的迫切性。這種經濟壓力持續推動著各行業的廣泛應用。 IBM 2024年的一項調查顯示，42%的企業級組織正在積極採用人工智慧，這表明可擴展、低成本的方案對市場滲透做出了重大貢獻。

市場挑戰

資料隱私和安全問題是全球人工智慧服務市場擴張的重大障礙。隨著企業越來越依賴自身資料來訓練和改進人工智慧模型，將敏感智慧財產權上傳到第三方共用雲端環境的需求引發了許多擔憂。在金融和醫療保健等需要嚴格遵守監管規定的行業，這種擔憂尤其突出，因為資料外洩可能導致嚴重的法律處罰和聲譽損害。因此，這些擔憂導致採購週期延長，並常常迫使企業放棄基於雲端的人工智慧部署，轉而選擇本地部署解決方案，直接限制了市場的收入潛力。

近期行業數據也印證了這種擔憂的普遍性。雲端安全聯盟的一項調查報告顯示，到2025年，「55%的組織將對人工智慧相關風險表示中度擔憂，尤其是數據和智慧財產權風險，另有20%的組織表示高度擔憂。」這種日益成長的風險規避情緒迫使決策者限制與外部人工智慧供應商的合作。潛在客戶優先考慮資料主權而非「即服務」模式所提供的擴充性優勢，這限制了市場滲透到關鍵高價值細分領域的能力。

市場趨勢

產業專用的人工智慧雲端平台的興起正在重塑市場格局。供應商不再局限於通用演算法，而是為法律、醫療保健和金融等特定垂直行業提供專業解決方案。這些產業專用的服務能夠滿足獨特的監管和工作流程需求，加速合規風險一直是關注焦點的領域的應用。湯森路透於2024年7月發布的《2024年專業人士未來報告》顯示，77%的法律、稅務和風險管理專業人士預計，人工智慧將在未來五年內對其工作產生“重大影響”或“變革性影響”，這凸顯了對專業智慧層的迫切需求。這種轉變迫使供應商開發與專業標準深度整合的利基微服務，而非提供通用API。

同時，生成式人工智慧模型的廣泛應用正推動應用開發蓬勃發展，使AIaaS從被動工具轉變為軟體創建的積極基礎。開發者正加速利用大規模雲端託管語言模型創建新應用程式，市場重點也隨之轉向API優先的消費模式和以開發者為中心的工具。根據GitHub發布的「Octoverse 2024」報告，該平台上的生成式人工智慧計劃在全球範圍內同比成長了98%。這種計劃的爆炸性成長預示著一種自下而上的採用趨勢，即個人開發者和小規模團隊正利用便利的雲端人工智慧服務快速進行創新。

目錄

第1章概述

第2章調查方法

第3章執行摘要

第4章：客戶評價

第5章 全球人工智慧即服務（AIaaS）市場展望

  • 市場規模及預測
    • 按金額
  • 市佔率及預測
    • 透過科技（機器學習、自然語言處理、電腦視覺等）
    • 按公司規模（大型公司、中小企業）
    • 依服務類型（服務、軟體工具）
    • 按雲類型（公共雲端、私有雲端、混合雲端）
    • 按行業分類（銀行、金融、保險、醫療保健、零售、IT、通訊、製造業、能源、政府機構、其他）
    • 按地區
    • 按公司（2025 年）
  • 市場地圖

6. 北美人工智慧即服務 (AIaaS) 市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 北美洲：國家分析
    • 美國
    • 加拿大
    • 墨西哥

7. 歐洲人工智慧即服務 (AIaaS) 市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 歐洲：國家分析
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙

8. 亞太地區人工智慧即服務 (AIaaS) 市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 亞太地區：國家分析
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲

9. 中東和非洲人工智慧即服務 (AIaaS) 市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 中東和非洲：國家分析
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非

第10章：南美洲人工智慧即服務（AIaaS）市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 南美洲：國家分析
    • 巴西
    • 哥倫比亞
    • 阿根廷

第11章 市場動態

  • 促進要素
  • 任務

第12章 市場趨勢與發展

  • 併購
  • 產品發布
  • 最新進展

第13章 全球人工智慧即服務 (AIaaS) 市場：SWOT 分析

第14章：波特五力分析

  • 產業競爭
  • 新進入者的可能性
  • 供應商電力
  • 顧客權力
  • 替代品的威脅

第15章 競爭格局

  • IBM Corporation
  • DATAIKU SAS
  • Microsoft Corporation
  • Oracle Corporation
  • Amazon Web Services, Inc.
  • BigML Inc.
  • Salesforce.com Inc.
  • SAS Institute Inc.
  • Google LLC
  • H2O.ai Inc.

第16章 策略建議

第17章：關於研究公司及免責聲明

簡介目錄
Product Code: 4022

The Global Artificial Intelligence as a Service Market is projected to expand from USD 17.14 Billion in 2025 to USD 123.89 Billion by 2031, achieving a CAGR of 39.05%. AIaaS operates as a cloud-based delivery framework that allows organizations to outsource artificial intelligence capabilities and infrastructure from external providers, effectively eliminating the need for substantial initial capital expenditures. The market's strong growth is primarily anchored by the critical business imperative to lower operational costs through scalability, the widespread democratization of advanced technology which reduces entry barriers for smaller enterprises, and the increasing necessity for rapid digital transformation across global industries, all of which create an environment favorable for continuous innovation and efficient resource use.

Market Overview
Forecast Period2027-2031
Market Size 2025USD 17.14 Billion
Market Size 2031USD 123.89 Billion
CAGR 2026-203139.05%
Fastest Growing SegmentSoftware Tools
Largest MarketNorth America

Despite this momentum, the market encounters significant hurdles regarding data privacy and security, as organizations frequently hesitate to expose sensitive proprietary information to shared third-party cloud environments. This concern is especially acute in regulated sectors, potentially slowing broader integration. Underscoring the intense demand for expertise to manage these growing deployments, 'CompTIA' reported in '2025' that '41% of all active tech job postings in November were for specific AI jobs or for positions that require some level of AI skills'.

Market Driver

The rapid proliferation of cloud computing infrastructure acts as a primary catalyst for the Global Artificial Intelligence as a Service Market, facilitating the seamless delivery of complex computational capabilities. Major technology providers are aggressively integrating algorithmic tools directly into their existing platforms, enabling businesses to utilize high-performance computing without managing physical servers. This integration establishes a direct correlation between cloud consumption and AI adoption, as enterprises leverage these pre-built environments to accelerate deployment. According to Microsoft's 'FY24 Q3 Earnings Press Release' from April 2024, revenue for 'Azure and other cloud services' increased by 31%, with 7 percentage points of that growth specifically driven by AI services, indicating that cloud infrastructure expansion is mechanically linked to the increased intake of service-based intelligence layers.

Furthermore, the rising demand for cost-effective and scalable AI solutions drives market expansion as organizations seek to leverage generative models and analytics while minimizing capital expenditure. Developing proprietary models involves immense financial resources for hardware and energy, creating a barrier to entry that service-based models effectively dismantle. According to Stanford University's 'Artificial Intelligence Index Report 2024' from April 2024, the estimated training cost for state-of-the-art models like GPT-4 reached '$78 million', highlighting the financial necessity for many entities to utilize shared cloud-based services rather than developing internal infrastructure. This economic pressure continues to drive broad acceptance across industries, as evidenced by IBM in 2024, noting that '42% of enterprise-scale organizations' have actively deployed artificial intelligence, demonstrating how scalable, low-upfront-cost options translate into substantial market penetration.

Market Challenge

Data privacy and security concerns represent a formidable barrier to the expansion of the Global Artificial Intelligence as a Service Market. As organizations increasingly rely on proprietary data to train and refine AI models, the necessity of uploading sensitive intellectual property to shared, third-party cloud environments generates substantial apprehension. This reluctance is particularly pronounced in sectors subject to stringent regulatory compliance, such as finance and healthcare, where data breaches can result in severe legal penalties and reputational damage. Consequently, these anxieties lead to prolonged procurement cycles and frequently cause enterprises to abandon cloud-based AI adoption in favor of on-premise alternatives, directly suppressing market revenue potential.

The prevalence of this apprehension is substantiated by recent industry data. According to the 'Cloud Security Alliance', in '2025', '55% of organizations reported being moderately concerned and another 20% stated they were highly concerned about AI-related risks, particularly to data and intellectual property'. This elevated level of risk aversion compels decision-makers to limit their engagement with external AI providers. By prioritizing data sovereignty over the scalability benefits of the as-a-Service model, potential clients restrict the market's ability to penetrate key high-value verticals.

Market Trends

The Emergence of Industry-Specific AI Cloud Platforms is reshaping the market as vendors move beyond generic algorithms to offer tailored solutions for distinct sectors like legal, healthcare, and finance. These vertical-specific offerings address unique regulatory and workflow requirements, encouraging adoption in fields previously hesitant due to compliance risks. According to Thomson Reuters, July 2024, in the 'Future of Professionals Report 2024', 77% of professionals in the legal, tax, and risk sectors predicted that AI would have a high or transformational impact on their work over the next five years, highlighting the critical demand for specialized intelligence layers. This shift forces providers to develop niche microservices that integrate deeply with professional standards rather than providing one-size-fits-all APIs.

Simultaneously, the Widespread Integration of Generative AI Models has catalyzed a surge in application development, transforming AIaaS from a passive utility into an active foundation for software creation. Developers are increasingly utilizing cloud-hosted large language models to construct novel applications, shifting the market focus towards API-first consumption and developer-centric tools. According to GitHub, October 2024, in the 'Octoverse 2024' report, there was a 98% increase in the number of generative AI projects created on the platform globally compared to the previous year. This explosive growth in project volume indicates that the market is expanding through a bottom-up adoption curve, where individual developers and small teams leverage accessible cloud AI services to innovate rapidly.

Key Market Players

  • IBM Corporation
  • DATAIKU SAS
  • Microsoft Corporation
  • Oracle Corporation
  • Amazon Web Services, Inc.
  • BigML Inc.
  • Salesforce.com Inc.
  • SAS Institute Inc.
  • Google LLC
  • H2O.ai Inc.

Report Scope

In this report, the Global Artificial Intelligence as a Service Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Artificial Intelligence as a Service Market, By Technology

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

Artificial Intelligence as a Service Market, By Organization Size

  • Large Enterprise
  • Small & Medium Enterprise

Artificial Intelligence as a Service Market, By Service Type

  • Services
  • Software Tools

Artificial Intelligence as a Service Market, By Cloud Type

  • Public Cloud
  • Private Cloud
  • Hybrid Cloud

Artificial Intelligence as a Service Market, By Vertical

  • BFSI
  • Healthcare
  • Retail
  • IT & Telecom
  • Manufacturing
  • Energy
  • Government
  • Others

Artificial Intelligence as a Service Market, By Region

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • France
    • United Kingdom
    • Italy
    • Germany
    • Spain
  • Asia Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
  • South America
    • Brazil
    • Argentina
    • Colombia
  • Middle East & Africa
    • South Africa
    • Saudi Arabia
    • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Artificial Intelligence as a Service Market.

Available Customizations:

Global Artificial Intelligence as a Service Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
    • 1.2.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Objective of the Study
  • 2.2. Baseline Methodology
  • 2.3. Key Industry Partners
  • 2.4. Major Association and Secondary Sources
  • 2.5. Forecasting Methodology
  • 2.6. Data Triangulation & Validation
  • 2.7. Assumptions and Limitations

3. Executive Summary

  • 3.1. Overview of the Market
  • 3.2. Overview of Key Market Segmentations
  • 3.3. Overview of Key Market Players
  • 3.4. Overview of Key Regions/Countries
  • 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Artificial Intelligence as a Service Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Technology (Machine Learning, Natural Language Processing, Computer Vision, Others)
    • 5.2.2. By Organization Size (Large Enterprise, Small & Medium Enterprise)
    • 5.2.3. By Service Type (Services, Software Tools)
    • 5.2.4. By Cloud Type (Public Cloud, Private Cloud, Hybrid Cloud)
    • 5.2.5. By Vertical (BFSI, Healthcare, Retail, IT & Telecom, Manufacturing, Energy, Government, Others)
    • 5.2.6. By Region
    • 5.2.7. By Company (2025)
  • 5.3. Market Map

6. North America Artificial Intelligence as a Service Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Technology
    • 6.2.2. By Organization Size
    • 6.2.3. By Service Type
    • 6.2.4. By Cloud Type
    • 6.2.5. By Vertical
    • 6.2.6. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States Artificial Intelligence as a Service Market Outlook
      • 6.3.1.1. Market Size & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share & Forecast
        • 6.3.1.2.1. By Technology
        • 6.3.1.2.2. By Organization Size
        • 6.3.1.2.3. By Service Type
        • 6.3.1.2.4. By Cloud Type
        • 6.3.1.2.5. By Vertical
    • 6.3.2. Canada Artificial Intelligence as a Service Market Outlook
      • 6.3.2.1. Market Size & Forecast
        • 6.3.2.1.1. By Value
      • 6.3.2.2. Market Share & Forecast
        • 6.3.2.2.1. By Technology
        • 6.3.2.2.2. By Organization Size
        • 6.3.2.2.3. By Service Type
        • 6.3.2.2.4. By Cloud Type
        • 6.3.2.2.5. By Vertical
    • 6.3.3. Mexico Artificial Intelligence as a Service Market Outlook
      • 6.3.3.1. Market Size & Forecast
        • 6.3.3.1.1. By Value
      • 6.3.3.2. Market Share & Forecast
        • 6.3.3.2.1. By Technology
        • 6.3.3.2.2. By Organization Size
        • 6.3.3.2.3. By Service Type
        • 6.3.3.2.4. By Cloud Type
        • 6.3.3.2.5. By Vertical

7. Europe Artificial Intelligence as a Service Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Technology
    • 7.2.2. By Organization Size
    • 7.2.3. By Service Type
    • 7.2.4. By Cloud Type
    • 7.2.5. By Vertical
    • 7.2.6. By Country
  • 7.3. Europe: Country Analysis
    • 7.3.1. Germany Artificial Intelligence as a Service Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Technology
        • 7.3.1.2.2. By Organization Size
        • 7.3.1.2.3. By Service Type
        • 7.3.1.2.4. By Cloud Type
        • 7.3.1.2.5. By Vertical
    • 7.3.2. France Artificial Intelligence as a Service Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Technology
        • 7.3.2.2.2. By Organization Size
        • 7.3.2.2.3. By Service Type
        • 7.3.2.2.4. By Cloud Type
        • 7.3.2.2.5. By Vertical
    • 7.3.3. United Kingdom Artificial Intelligence as a Service Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Technology
        • 7.3.3.2.2. By Organization Size
        • 7.3.3.2.3. By Service Type
        • 7.3.3.2.4. By Cloud Type
        • 7.3.3.2.5. By Vertical
    • 7.3.4. Italy Artificial Intelligence as a Service Market Outlook
      • 7.3.4.1. Market Size & Forecast
        • 7.3.4.1.1. By Value
      • 7.3.4.2. Market Share & Forecast
        • 7.3.4.2.1. By Technology
        • 7.3.4.2.2. By Organization Size
        • 7.3.4.2.3. By Service Type
        • 7.3.4.2.4. By Cloud Type
        • 7.3.4.2.5. By Vertical
    • 7.3.5. Spain Artificial Intelligence as a Service Market Outlook
      • 7.3.5.1. Market Size & Forecast
        • 7.3.5.1.1. By Value
      • 7.3.5.2. Market Share & Forecast
        • 7.3.5.2.1. By Technology
        • 7.3.5.2.2. By Organization Size
        • 7.3.5.2.3. By Service Type
        • 7.3.5.2.4. By Cloud Type
        • 7.3.5.2.5. By Vertical

8. Asia Pacific Artificial Intelligence as a Service Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Technology
    • 8.2.2. By Organization Size
    • 8.2.3. By Service Type
    • 8.2.4. By Cloud Type
    • 8.2.5. By Vertical
    • 8.2.6. By Country
  • 8.3. Asia Pacific: Country Analysis
    • 8.3.1. China Artificial Intelligence as a Service Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Technology
        • 8.3.1.2.2. By Organization Size
        • 8.3.1.2.3. By Service Type
        • 8.3.1.2.4. By Cloud Type
        • 8.3.1.2.5. By Vertical
    • 8.3.2. India Artificial Intelligence as a Service Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Technology
        • 8.3.2.2.2. By Organization Size
        • 8.3.2.2.3. By Service Type
        • 8.3.2.2.4. By Cloud Type
        • 8.3.2.2.5. By Vertical
    • 8.3.3. Japan Artificial Intelligence as a Service Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Technology
        • 8.3.3.2.2. By Organization Size
        • 8.3.3.2.3. By Service Type
        • 8.3.3.2.4. By Cloud Type
        • 8.3.3.2.5. By Vertical
    • 8.3.4. South Korea Artificial Intelligence as a Service Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Technology
        • 8.3.4.2.2. By Organization Size
        • 8.3.4.2.3. By Service Type
        • 8.3.4.2.4. By Cloud Type
        • 8.3.4.2.5. By Vertical
    • 8.3.5. Australia Artificial Intelligence as a Service Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Technology
        • 8.3.5.2.2. By Organization Size
        • 8.3.5.2.3. By Service Type
        • 8.3.5.2.4. By Cloud Type
        • 8.3.5.2.5. By Vertical

9. Middle East & Africa Artificial Intelligence as a Service Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Technology
    • 9.2.2. By Organization Size
    • 9.2.3. By Service Type
    • 9.2.4. By Cloud Type
    • 9.2.5. By Vertical
    • 9.2.6. By Country
  • 9.3. Middle East & Africa: Country Analysis
    • 9.3.1. Saudi Arabia Artificial Intelligence as a Service Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Technology
        • 9.3.1.2.2. By Organization Size
        • 9.3.1.2.3. By Service Type
        • 9.3.1.2.4. By Cloud Type
        • 9.3.1.2.5. By Vertical
    • 9.3.2. UAE Artificial Intelligence as a Service Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Technology
        • 9.3.2.2.2. By Organization Size
        • 9.3.2.2.3. By Service Type
        • 9.3.2.2.4. By Cloud Type
        • 9.3.2.2.5. By Vertical
    • 9.3.3. South Africa Artificial Intelligence as a Service Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Technology
        • 9.3.3.2.2. By Organization Size
        • 9.3.3.2.3. By Service Type
        • 9.3.3.2.4. By Cloud Type
        • 9.3.3.2.5. By Vertical

10. South America Artificial Intelligence as a Service Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Technology
    • 10.2.2. By Organization Size
    • 10.2.3. By Service Type
    • 10.2.4. By Cloud Type
    • 10.2.5. By Vertical
    • 10.2.6. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Artificial Intelligence as a Service Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Technology
        • 10.3.1.2.2. By Organization Size
        • 10.3.1.2.3. By Service Type
        • 10.3.1.2.4. By Cloud Type
        • 10.3.1.2.5. By Vertical
    • 10.3.2. Colombia Artificial Intelligence as a Service Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Technology
        • 10.3.2.2.2. By Organization Size
        • 10.3.2.2.3. By Service Type
        • 10.3.2.2.4. By Cloud Type
        • 10.3.2.2.5. By Vertical
    • 10.3.3. Argentina Artificial Intelligence as a Service Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Technology
        • 10.3.3.2.2. By Organization Size
        • 10.3.3.2.3. By Service Type
        • 10.3.3.2.4. By Cloud Type
        • 10.3.3.2.5. By Vertical

11. Market Dynamics

  • 11.1. Drivers
  • 11.2. Challenges

12. Market Trends & Developments

  • 12.1. Merger & Acquisition (If Any)
  • 12.2. Product Launches (If Any)
  • 12.3. Recent Developments

13. Global Artificial Intelligence as a Service Market: SWOT Analysis

14. Porter's Five Forces Analysis

  • 14.1. Competition in the Industry
  • 14.2. Potential of New Entrants
  • 14.3. Power of Suppliers
  • 14.4. Power of Customers
  • 14.5. Threat of Substitute Products

15. Competitive Landscape

  • 15.1. IBM Corporation
    • 15.1.1. Business Overview
    • 15.1.2. Products & Services
    • 15.1.3. Recent Developments
    • 15.1.4. Key Personnel
    • 15.1.5. SWOT Analysis
  • 15.2. DATAIKU SAS
  • 15.3. Microsoft Corporation
  • 15.4. Oracle Corporation
  • 15.5. Amazon Web Services, Inc.
  • 15.6. BigML Inc.
  • 15.7. Salesforce.com Inc.
  • 15.8. SAS Institute Inc.
  • 15.9. Google LLC
  • 15.10. H2O.ai Inc.

16. Strategic Recommendations

17. About Us & Disclaimer