人工智慧即服务 (AIaaS) 市场 - 全球产业规模、份额、趋势、机会及预测（按技术、组织规模、服务类型、云端类型、垂直产业、地区和竞争格局划分），2021-2031 年

全球人工智慧即服务 (AIaaS) 市场预计将从 2025 年的 171.4 亿美元成长到 2031 年的 1,238.9 亿美元，复合年增长率 (CAGR) 为 39.05%。 AIaaS 作为一个基于云端的交付框架，使企业能够将人工智慧功能和基础设施外包给外部供应商，从而有效避免巨额的初始资本支出。该市场的强劲成长主要得益于以下几个因素：企业迫切需要透过可扩展性来降低营运成本；先进技术的广泛普及降低了中小企业的准入门槛；以及全球各行业对快速数位转型的日益增长的需求。所有这些因素都为持续创新和高效资源利用创造了有利环境。

儘管发展势头强劲，但市场在资料隐私和安全方面仍面临诸多障碍，因为企业往往不愿将敏感的专有资讯暴露于共用的第三方云端环境中。这种担忧在受监管行业尤为突出，并可能阻碍更广泛的整合。 CompTIA 在 2025 年报告中指出，为了应对不断扩大的应用，市场对管理此类应用所需的专业知识有着强劲的需求，报告显示：“11 月份所有活跃的技术类职位招聘广告中，有 41% 是针对特定人工智能相关职位或需要一定人工智能技能的职位。”

市场驱动因素

云端运算基础设施的快速普及是全球人工智慧即服务 (AIaaS) 市场的主要驱动力，它能够无缝地提供复杂的运算能力。主要技术提供者正积极将演算法工具整合到现有平台中，使企业无需管理实体伺服器即可利用高效能运算。这种整合使得云端使用与人工智慧 (AI) 的采用之间建立了直接联繫，因为企业可以利用预先建置的环境来加速采用。根据微软于 2024 年 4 月发布的“2024 财年第三季财报”，Azure 和其他云端服务的收入增长了 31%，其中 7 个百分点的增长是由 AI 服务直接推动的。这表明云端基础设施的扩展与基于服务的智慧层采用率的提高密切相关。

此外，随着企业寻求在最大限度减少资本支出的同时利用生成模型和分析技术，对经济高效且扩充性的人工智慧解决方案的需求日益增长，正在推动市场扩张。虽然开发专有模型需要对硬体和能源进行大量投资，但基于服务的模型有效地消除了这个准入门槛。史丹佛大学发布的《2024年人工智慧指数报告》显示，GPT-4等尖端模式的预期训练成本将达到7,800万美元，凸显了许多企业利用共用云端服务而非建构内部基础设施的迫切性。这种经济压力持续推动着各行业的广泛应用。 IBM 2024年的一项调查显示，42%的企业级组织正在积极采用人工智慧，这表明可扩展、低成本的方案对市场渗透做出了重大贡献。

市场挑战

资料隐私和安全问题是全球人工智慧服务市场扩张的重大障碍。随着企业越来越依赖自身资料来训练和改进人工智慧模型，将敏感智慧财产权上传到第三方共用云端环境的需求引发了许多担忧。在金融和医疗保健等需要严格遵守监管规定的行业，这种担忧尤其突出，因为资料外洩可能导致严重的法律处罚和声誉损害。因此，这些担忧导致采购週期延长，并常常迫使企业放弃基于云端的人工智慧部署，转而选择本地部署解决方案，直接限制了市场的收入潜力。

近期行业数据也印证了这种担忧的普遍性。云端安全联盟的一项调查报告显示，到2025年，「55%的组织将对人工智慧相关风险表示中度担忧，尤其是数据和智慧财产权风险，另有20%的组织表示高度担忧。」这种日益增长的风险规避情绪迫使决策者限制与外部人工智慧供应商的合作。潜在客户优先考虑资料主权而非「即服务」模式所提供的扩充性优势，这限制了市场渗透到关键高价值细分领域的能力。

市场趋势

产业专用的人工智慧云端平台的兴起正在重塑市场格局。供应商不再局限于通用演算法，而是为法律、医疗保健和金融等特定垂直行业提供专业解决方案。这些产业专用的服务能够满足独特的监管和工作流程需求，加速合规风险一直是关注焦点的领域的应用。汤森路透于2024年7月发布的《2024年专业人士未来报告》显示，77%的法律、税务和风险管理专业人士预计，人工智慧将在未来五年内对其工作产生“重大影响”或“变革性影响”，这凸显了对专业智慧层的迫切需求。这种转变迫使供应商开发与专业标准深度整合的利基微服务，而非提供通用API。

同时，生成式人工智慧模型的广泛应用正推动应用开发蓬勃发展，使AIaaS从被动工具转变为软体创建的积极基础。开发者正加速利用大规模云端託管语言模型创建新应用程序，市场重点也随之转向API优先的消费模式和以开发者为中心的工具。根据GitHub发布的「Octoverse 2024」报告，该平台上的生成式人工智慧计划在全球范围内同比增长了98%。这种计划的爆炸性成长预示着一种自下而上的采用趋势，即个人开发者和小规模团队正利用便利的云端人工智慧服务快速进行创新。

目录

第一章概述

第二章调查方法

第三章执行摘要

第四章：客户评价

第五章 全球人工智慧即服务（AIaaS）市场展望

• 市场规模及预测
  • 按金额
• 市占率及预测
  • 透过科技（机器学习、自然语言处理、电脑视觉等）
  • 按公司规模（大型公司、中小企业）
  • 依服务类型（服务、软体工具）
  • 按云类型（公共云端、私有云端、混合云端）
  • 按行业划分（银行、金融、保险、医疗保健、零售、IT、通讯、製造业、能源、政府机构、其他）
  • 按地区
  • 按公司（2025 年）
• 市场地图

6. 北美人工智慧即服务 (AIaaS) 市场展望

• 市场规模及预测
• 市占率及预测
• 北美洲：国家分析
  • 美国
  • 加拿大
  • 墨西哥

7. 欧洲人工智慧即服务 (AIaaS) 市场展望

• 市场规模及预测
• 市占率及预测
• 欧洲：国家分析
  • 德国
  • 法国
  • 英国
  • 义大利
  • 西班牙

8. 亚太地区人工智慧即服务 (AIaaS) 市场展望

• 市场规模及预测
• 市占率及预测
• 亚太地区：国家分析
  • 中国
  • 印度
  • 日本
  • 韩国
  • 澳洲

9. 中东和非洲人工智慧即服务 (AIaaS) 市场展望

• 市场规模及预测
• 市占率及预测
• 中东和非洲：国家分析
  • 沙乌地阿拉伯
  • 阿拉伯聯合大公国
  • 南非

第十章：南美洲人工智慧即服务（AIaaS）市场展望

• 市场规模及预测
• 市占率及预测
• 南美洲：国家分析
  • 巴西
  • 哥伦比亚
  • 阿根廷

第十一章 市场动态

• 司机
• 任务

第十二章 市场趋势与发展

• 併购
• 产品发布
• 最新进展

第十三章 全球人工智慧即服务 (AIaaS) 市场：SWOT 分析

第十四章：波特五力分析

• 产业竞争
• 新进入者的可能性
• 供应商电力
• 顾客权力
• 替代品的威胁

第十五章 竞争格局

• 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.

第十六章 策略建议

第十七章：关于研究公司及免责声明

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.

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