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AIaaS（人工智慧即服务）的全球市场：按产品类型、按服务类型 - 预测（截至 2029 年）
市场调查报告书
商品编码
1567384

AIaaS（人工智慧即服务）的全球市场：按产品类型、按服务类型 - 预测（截至 2029 年）

AI as a Service Market by Product Type, Service Type (Machine Learning as a Service, Natural Language Processing as a Service, Generative AI as a Service) - Global Forecast to 2029
出版日期: | 出版商: MarketsandMarkets | 英文 393 Pages | 订单完成后即时交付

价格

全球AIaaS（人工智慧即服务）市场规模预计将从2024年的140亿美元增加到2029年的721.3亿美元，预测期内复合年增长率为38.8%。

由于对人工智慧Start-Ups的创业投资投资增加，以及透过人工智慧主导的个人化来改善客户体验，以及Start-Ups的协作生态系统，预计该市场将会成长。然而，由于人工智慧模型的准确性限制了有效性、AIaaS 部署中的智慧财产权不明确以及对 AIaaS定价模式长期永续性的担忧，成长速度因对高品质资料的依赖而放缓。

调查范围
调查年份 2019-2029
基准年 2023年
预测期 2024-2029
单元 10亿美元
部分 产品类型、组织规模、业务功能、服务类型、最终用户、区域
目标区域 北美、欧洲、亚太地区、中东/非洲/拉丁美洲

“透过人工智慧创新和个人化医疗，医疗和生命科学领域快速发展”

由于人工智慧具有分析大量资料集并制定个人化治疗计划的能力，因此随着个人化医疗需求的增加，医疗和生命科学终端使用者市场将快速成长。预测分析的创新透过识别健康趋势和实现主动干预来增强患者照护。人工智慧推动的远端医疗和远端监控解决方案的兴起正在改变病人参与。对人工智慧主导解决方案的监管支援正在加速采用，并将该行业定位为 AIaaS 的市场领导者。

“透过人工智慧主导的洞察力和自动化来转变销售，以提高绩效”

在预测期内，由于越来越依赖资料主导的洞察来增强销售策略，销售业务职能预计将在 AIaaS（人工智慧即服务）市场中占据最大的市场占有率。人工智慧技术使企业能够分析客户行为，优化潜在案源计分，并透过聊天机器人进行个人化推广，从而提高转换率。日常任务的自动化使销售团队能够专注于高价值的互动，而预测分析使公司能够更准确地预测趋势和客户需求，从而推动整体收益成长。

“由于创新和新技术，亚太地区的 AIaaS 快速成长，其中北美市场规模领先”

由于人工智慧研究和开发取得重大进展，以及人工智慧在製造业和农业等领域的快速采用，亚太地区预计将成为人工智慧即服务（AIaaS）快速成长的市场。该地区非常注重将人工智慧与物联网和 5G 等新技术融合，推动创新并建构智慧生态系统。相较之下，北美仍然是最大的市场，这得益于其坚实的技术基础设施、大量的创业投资投资以及推动人工智慧能力边界的领先人工智慧公司的强大影响力。

本报告研究和分析了全球AIaaS（人工智慧即服务）市场，提供了关键驱动因素和限制因素、竞争格局和未来趋势等资讯。

目录

第一章简介

第二章调查方法

第三章执行摘要

第 4 章重要考察

  • AIaaS（人工智慧即服务）市场的诱人机会
  • AIaaS（人工智慧即服务）市场：三大服务类型
  • 北美 AIaaS（人工智慧即服务）市场：按产品类型、按企业最终用户划分
  • AIaaS（人工智慧即服务）市场：按地区

第五章市场概况及产业趋势

  • 介绍
  • 市场动态
    • 促进因素
    • 抑制因素
    • 机会
    • 任务
  • 生成式人工智慧对 AIaaS（人工智慧即服务）市场的影响
    • 主要用例/市场未来性
    • 自动化客户服务与支持
    • 内容生成/个人化
    • 智慧型文件处理
    • 自动程式码产生/软体开发
    • 增强的安全性和诈欺检测
    • 虚拟训练模拟
  • AIaaS（人工智慧即服务）市场：演变
  • 生态系分析
    • 聊天机器人、API 供应商
    • 机器学习框架提供者
    • 无程式码/低程式码工具提供者
    • 资料预处理工具提供者
    • 公共管理云端提供者
    • 最终用户
  • 供应链分析
  • 投资状况及资金筹措场景
  • 案例研究分析
  • 技术分析
    • 主要技术
    • 互补技术
    • 邻近技术
  • 监管环境
    • 监管机构、政府机构和其他组织
    • 规定：依地区
  • 架构：AIaaS（人工智慧即服务）
    • 人工智慧基础设施
    • AIaaS（AI as a Service）
    • 人工智慧工具
  • 专利分析
  • 价格分析
    • 主要企业平均售价趋势：依服务类型
    • 参考价格分析：依产品类型
  • 重大会议和活动（2024-2025）
  • 波特五力分析
  • 影响客户业务的趋势/干扰
  • 主要相关利益者和采购标准

第六章 AIaaS（人工智慧即服务）市场：依产品类型

  • 介绍
  • 聊天机器人/虚拟助理
  • 机器学习框架
  • 应用程式介面 (API)
  • 无程式码/低程式码机器学习工具
  • 资料预处理工具

第七章 AIaaS（人工智慧即服务）市场：按服务类型

  • 介绍
  • 机器学习服务（MLaaS）
  • 自然语言处理服务（NLPaaS）
  • 电脑视觉服务
  • 预测分析、资料科学服务 (DSaaS)
  • 生成式人工智慧服务

第八章 AIaaS（人工智慧即服务）市场：按业务功能划分

  • 介绍
  • 金融
  • 行销
  • 销售量
  • 管理/供应链
  • 人力资源

第 9 章 AIaaS（人工智慧即服务）市场：依组织规模

  • 介绍
  • 小型企业
  • 大公司

第 10 章 AIaaS（人工智慧即服务）市场：按最终用户划分

  • 介绍
  • 公司
    • BFSI
    • 零售/电子商务
    • 科技
    • 媒体娱乐
    • 製造业
    • 医学/生命科学
    • 能源/公共事业
    • 政府/国防
    • 通讯
    • 运输/物流
    • 其他企业最终用户
  • 个人用户

第十一章 AIaaS（人工智慧即服务）市场：按地区

  • 介绍
  • 北美洲
    • 北美AIaaS（人工智慧即服务）市场的驱动因素
    • 北美宏观经济展望
    • 美国
    • 加拿大
  • 欧洲
    • 欧洲 AIaaS（人工智慧即服务）市场的驱动力
    • 欧洲宏观经济展望
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 欧洲其他地区
  • 亚太地区
    • 亚太地区AIaaS（人工智慧即服务）市场的驱动因素
    • 亚太宏观经济展望
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳洲/纽西兰
    • 新加坡
    • 其他亚太地区
  • 中东/非洲
    • 中东和非洲 AIaaS（人工智慧即服务）市场的驱动力
    • 中东和非洲宏观经济前景
    • 中东
    • 非洲
  • 拉丁美洲
    • 拉丁美洲 AIaaS（人工智慧即服务）市场的驱动力
    • 拉丁美洲宏观经济展望
    • 巴西
    • 墨西哥
    • 阿根廷
    • 其他拉丁美洲

第十二章竞争格局

  • 概述
  • 主要企业策略/主要企业
  • 收益分析
  • 市场占有率分析
  • 产品比较分析
  • 公司评价及财务指标
  • 企业评价矩阵：主要企业（2023年）
  • 企业评估矩阵：Start-Ups/中小企业（2023）
  • 竞争格局及趋势

第十三章 公司简介

  • 介绍
    • MICROSOFT
    • IBM
    • SAP
    • AWS
    • GOOGLE
    • SALESFORCE
    • ORACLE
    • NVIDIA
    • FICO
    • CLOUDERA
    • SERVICENOW
    • HPE
    • ALTAIR
    • OPENAI
    • SAS INSTITUTE
    • DATAROBOT
    • DATABRICKS
    • C3 AI
    • H20.AI
    • ALIBABA CLOUD
    • RAINBIRD TECHNOLOGIES
    • BIGML
    • COHERE
    • GLEAN
    • YOTTAMINE ANALYTICS
    • SCALE AI
    • LANDING AI
    • YELLOW.AI
    • INFLECTION AI
    • ANYSCALE
    • ABRIDGE
    • MISTRAL AI
    • CODEIUM
    • ARTHUR
    • LEVITY AI
    • UNSTRUCTURED AI
    • CLARIFAI
    • SYNTHESIA
    • KATONIC AI
    • DEEPSEARCH
    • MINDTITAN
    • VISO.AI
    • SOFTWEB SOLUTIONS

第十四章 邻近市场及相关市场

  • 介绍
  • 人工智慧市场 - 世界预测（~2030）
    • 市场定义
    • 市场概况
  • 生成式人工智慧市场 - 全球预测（~2030 年）
    • 市场定义
    • 市场概况

第十五章附录

Product Code: TC 6185

The AI as a service market is projected to grow from USD 14.00 billion in 2024 to USD 72.13 billion by 2029, at a compound annual growth rate (CAGR) of 38.8% during the forecast period. The market is anticipated to grow due to increased investment from venture capital in AI startups, focus on enhancing customer experience through AI-driven personalization, and collaborative ecosystems among tech giants and startups foster AI advancement. However, growth may be restrained by dependence on high-quality data for AI model accuracy limits effectiveness, unclear intellectual property ownership in AIaaS deployments, and concerns over the long-term sustainability of AIaaS pricing models.

Scope of the Report
Years Considered for the Study2019-2029
Base Year2023
Forecast Period2024-2029
Units ConsideredUSD (Billion)
SegmentsProduct Type, Organization Size, Business Function, Service Type, End User, and Region
Regions coveredNorth America, Europe, Asia Pacific, Middle East & Africa, and Latin America

"Rapid growth of healthcare and life sciences driven by AI innovations and personalized medicine"

The healthcare and life sciences end user segment market is set for rapid growth due to the increasing demand for personalized medicine, driven by AI's ability to analyze vast datasets for tailored treatment plans. Innovations in predictive analytics enhance patient care by identifying health trends and enabling proactive interventions. The rise of telehealth and remote monitoring solutions, facilitated by AI, is transforming patient engagement. Regulatory support for AI-driven solutions accelerates adoption, positioning this sector as a leader in the AIaaS market.

"Transforming sales with AI-driven insights and automation for enhanced performance"

During the forecast period, the sales business function is set to capture the largest market share in AI as a Service market due to the growing reliance on data-driven insights to enhance sales strategies. AI technologies enable organizations to analyze customer behavior, optimize lead scoring, and personalize outreach through chatbots, resulting in improved conversion rates. Automation of routine tasks allows sales teams to focus on high-value interactions, while predictive analytics empower businesses to forecast trends and customer needs more accurately, driving overall revenue growth.

"Asia Pacific's rapid AIaaS growth fueled by innovation and emerging technologies, while North America leads in market size"

The Asia Pacific region is expected to be the fastest-growing market for AI as a Service due to significant advancements in AI research and development, coupled with a surge in AI adoption across sectors such as manufacturing and agriculture. The region's strong focus on integrating AI with emerging technologies like IoT and 5G is driving innovation and creating smart ecosystems. In contrast, North America remains the largest market, bolstered by its robust technology infrastructure, substantial venture capital investments, and a strong presence of leading AI companies pushing the boundaries of AI capabilities.

Breakdown of primaries

In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the AI as a service market.

  • By Company: Tier I - 35%, Tier II - 45%, and Tier III - 20%
  • By Designation: C-Level Executives - 35%, D-Level Executives - 25%, and others - 40%
  • By Region: North America - 40%, Europe - 25%, Asia Pacific - 20%, Middle East & Africa - 10%, and Latin America - 5%

The report includes the study of key players offering AIaaS solutions and services. It profiles major vendors in the AI as a service market. The major players in the AI as a service market include Microsoft (US), IBM (US), SAP (Germany), AWS (US), Google (US), Salesforce (US), Oracle (US), NVIDIA (US), FICO (US), Cloudera (US), ServiceNow (US), HPE (US), Altair (US), OpenAI (US), SAS Institute (US), DataRobot (US), Databricks (US), C3 AI (US), H2O.ai (US), Alibaba Cloud (China), Rainbird Technologies (UK), BigML (US), Cohere (Canada), Glean (US), Yottamine Analytics (US), Scale AI (US), Landing AI (US), Yellow.ai (US), Inflection AI (US), Anyscale (US), Abridge (US), Mistral AI (France), Codeium (US), Arthur (US), Levity AI (US), Unstructured AI (US), Clarifai (US), Synthesia (UK), Katonic AI (Australia), Deepsearch (Austria), MindTitan (Estonia), Viso.ai (Switzerland) and Softweb Solutions (US).

Research coverage

This research report categorizes the AI as a service Market By product Type (Chatbots and virtual assistants, machine learning frameworks, application programming interface (API), No-code or low-code ml tools and data pre-processing Tools), By Organization Size (small & medium-sized enterprises and large enterprises), By Business Function (Finance, Marketing, sales, Human Resource and Operations & Supply Chain), By Service Type (machine learning as a service (MLaaS), Natural language processing as a service (NLPaaS), computer vision as a service, Predictive Analytics and Data Science as a service (DSaaS) and Generative AI as a service), By End user(Enterprise and Individual users), End User by Enterprise (BFSI, Retail & Ecommerce, Technology, Media & Entertainment, Manufacturing, Healthcare & Life Sciences, Energy & Utilities, Government & Defense, Telecommunications, Transportation & Logistics, and Other Enterprise level End Users [Travel & Hospitality, Education and Construction & Real-estate]), and By Region (North America, Europe, Asia Pacific, Middle East & Africa, and Latin America). The scope of the report covers detailed information regarding the major factors, such as drivers, restraints, challenges, and opportunities, influencing the growth of the AI as a service market. A detailed analysis of the key industry players has been done to provide insights into their business overview, solutions, and services; key strategies; contracts, partnerships, agreements, new product & service launches, mergers and acquisitions, and recent developments associated with the AI as a service market. Competitive analysis of upcoming startups in the AI as a service market ecosystem is covered in this report.

Key Benefits of Buying the Report

The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall AI as a service market and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights better to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.

The report provides insights on the following pointers:

  • Analysis of key drivers (AIaaS democratizes access for small and medium enterprises, Growing demand for AI-enhanced cybersecurity solutions to combat sophisticated threats and The rise of pre-trained AI models that require minimal customization accelerates AIaaS adoption), restraints (Integration issues with legacy systems create inefficiencies, Managing the environmental impact of energy-intensive AI computations and data centers and High dependency on cloud providers hampers trust and hinders adoption), opportunities (Emergence of federated learning techniques for collaborative AI model training, Increasing demand for explainable AI (XAI) to enhance trust and transparency and Rising interest in quantum computing-based AI services for complex problem-solving), and challenges (Balancing innovation with regulatory compliance, mitigating the risks associated with AI model drift and maintaining model accuracy over time and managing the cost of high-performance AI infrastructure).
  • Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the AI as a service market.
  • Market Development: Comprehensive information about lucrative markets - the report analyses the AI as a service market across varied regions.
  • Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the AI as a service market.
  • Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players like Microsoft (US), IBM (US), SAP (Germany), AWS (US), Google (US), Salesforce (US), Oracle (US), NVIDIA (US), FICO (US), Cloudera (US), ServiceNow (US), HPE (US), Altair (US), OpenAI (US), SAS Institute (US), DataRobot (US), Databricks (US), C3 AI (US), H2O.ai (US), Alibaba Cloud (China), Rainbird Technologies (UK), BigML (US), Cohere (Canada), Glean (US), Yottamine Analytics (US), Scale AI (US), Landing AI (US), Yellow.ai (US), Inflection AI (US), Anyscale (US), Abridge (US), Mistral AI (France), Codeium (US), Arthur (US), Levity AI (US), Unstructured AI (US), Clarifai (US), Synthesia (UK), Katonic AI (Australia), Deepsearch (Austria), MindTitan (Estonia), Viso.ai (Switzerland) and Softweb Solutions (US), among others in the AI as a service market. The report also helps stakeholders understand the pulse of the AI as a service market and provides them with information on key market drivers, restraints, challenges, and opportunities.

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 STUDY OBJECTIVES
  • 1.2 MARKET DEFINITION
    • 1.2.1 INCLUSIONS AND EXCLUSIONS
  • 1.3 MARKET SCOPE
    • 1.3.1 MARKET SEGMENTATION
    • 1.3.2 YEARS CONSIDERED
  • 1.4 CURRENCY CONSIDERED
  • 1.5 STAKEHOLDERS
  • 1.6 SUMMARY OF CHANGES

2 RESEARCH METHODOLOGY

  • 2.1 RESEARCH DATA
    • 2.1.1 SECONDARY DATA
    • 2.1.2 PRIMARY DATA
      • 2.1.2.1 Breakup of primary profiles
      • 2.1.2.2 Key industry insights
  • 2.2 MARKET BREAKUP AND DATA TRIANGULATION
  • 2.3 MARKET SIZE ESTIMATION
    • 2.3.1 TOP-DOWN APPROACH
    • 2.3.2 BOTTOM-UP APPROACH
  • 2.4 MARKET FORECAST
  • 2.5 RESEARCH ASSUMPTIONS
  • 2.6 STUDY LIMITATIONS

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

  • 4.1 ATTRACTIVE OPPORTUNITIES IN AI AS A SERVICE MARKET
  • 4.2 AI AS A SERVICE MARKET: TOP THREE SERVICE TYPES
  • 4.3 NORTH AMERICA: AI AS A SERVICE MARKET, BY PRODUCT TYPE AND ENTERPRISE END USER
  • 4.4 AI AS A SERVICE MARKET, BY REGION

5 MARKET OVERVIEW AND INDUSTRY TRENDS

  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    • 5.2.1 DRIVERS
      • 5.2.1.1 AIaaS democratizes access for small and medium enterprises
      • 5.2.1.2 Growing demand for AI-enhanced cybersecurity solutions to combat sophisticated threats
      • 5.2.1.3 Rise of pre-trained AI models that require minimal customization accelerates AIaaS adoption
    • 5.2.2 RESTRAINTS
      • 5.2.2.1 Integration issues with legacy systems create inefficiencies
      • 5.2.2.2 Managing environmental impact of energy-intensive AI computations and data centers
      • 5.2.2.3 High dependency on cloud providers hampers trust and hinders adoption
    • 5.2.3 OPPORTUNITIES
      • 5.2.3.1 Emergence of federated learning techniques for collaborative AI model training
      • 5.2.3.2 Increasing demand for explainable AI (XAI) to enhance trust and transparency
      • 5.2.3.3 Rising interest in quantum computing-based AI services for complex problem-solving
    • 5.2.4 CHALLENGES
      • 5.2.4.1 Balancing innovation with regulatory compliance is complex
      • 5.2.4.2 Mitigating risks associated with AI model drift and maintaining model accuracy over time
      • 5.2.4.3 Managing cost of high-performance AI infrastructure
  • 5.3 IMPACT OF GENERATIVE AI ON AI AS A SERVICE MARKET
    • 5.3.1 TOP USE CASES & MARKET POTENTIAL
      • 5.3.1.1 Key use cases
    • 5.3.2 CUSTOMER SERVICE & SUPPORT AUTOMATION
    • 5.3.3 CONTENT GENERATION & PERSONALIZATION
    • 5.3.4 INTELLIGENT DOCUMENT PROCESSING
    • 5.3.5 AUTOMATED CODE GENERATION & SOFTWARE DEVELOPMENT
    • 5.3.6 ENHANCED SECURITY & FRAUD DETECTION
    • 5.3.7 VIRTUAL TRAINING & SIMULATION
  • 5.4 AI AS A SERVICE MARKET: EVOLUTION
  • 5.5 ECOSYSTEM ANALYSIS
    • 5.5.1 CHATBOTS AND API PROVIDERS
    • 5.5.2 MACHINE LEARNING FRAMEWORK PROVIDERS
    • 5.5.3 NO-CODE/LOW-CODE TOOL PROVIDERS
    • 5.5.4 DATA PRE-PROCESSING TOOL PROVIDERS
    • 5.5.5 PUBLIC & MANAGED CLOUD PROVIDERS
    • 5.5.6 END USERS
  • 5.6 SUPPLY CHAIN ANALYSIS
  • 5.7 INVESTMENT LANDSCAPE AND FUNDING SCENARIO
  • 5.8 CASE STUDY ANALYSIS
    • 5.8.1 CASE STUDY 1: ADVANCED ANALYTICS AND VISUAL AI FOR ACCELERATING ION CHANNEL DRUG DISCOVERY
    • 5.8.2 CASE STUDY 2: ELULA'S AI SOLUTIONS HELPED BANKS IMPROVE CUSTOMER RETENTION
    • 5.8.3 CASE STUDY 3: NAMA RELIES ON GOOGLE CLOUD TO FURTHER GENERATIVE AI AND BECOME MORE STRATEGIC BUSINESS
    • 5.8.4 CASE STUDY 4: IMPROVING CUSTOMER SERVICE AND FRAUD DETECTION WITH IBM AIAAS
    • 5.8.5 CASE STUDY 5: AUTOMATING SUPPORT REQUEST TRIAGE WITH SALESFORCE AIAAS
    • 5.8.6 CASE STUDY 6: MICROSOFT AZURE AIAAS EMPOWERED ALASKA AIRLINES TO OPTIMIZE ON-TIME PERFORMANCE WITH PREDICTIVE MAINTENANCE
  • 5.9 TECHNOLOGY ANALYSIS
    • 5.9.1 KEY TECHNOLOGIES
      • 5.9.1.1 Generative AI
      • 5.9.1.2 Machine Learning
      • 5.9.1.3 Conversational AI
      • 5.9.1.4 Cloud Computing
      • 5.9.1.5 Natural Language Processing (NLP)
    • 5.9.2 COMPLEMENTARY TECHNOLOGIES
      • 5.9.2.1 Cognitive Computing
      • 5.9.2.2 Big Data Analytics
      • 5.9.2.3 Robotic Process Automation (RPA)
    • 5.9.3 ADJACENT TECHNOLOGIES
      • 5.9.3.1 Quantum Computing
      • 5.9.3.2 Internet of Things (IoT)
      • 5.9.3.3 Cybersecurity
  • 5.10 REGULATORY LANDSCAPE
    • 5.10.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • 5.10.2 REGULATIONS, BY REGION
      • 5.10.2.1 North America
        • 5.10.2.1.1 SCR 17: Artificial Intelligence Bill (California)
        • 5.10.2.1.2 SB 1103: Artificial Intelligence Automated Decision Bill (Connecticut)
        • 5.10.2.1.3 National Artificial Intelligence Initiative Act (NAIIA)
        • 5.10.2.1.4 The Artificial Intelligence and Data Act (AIDA) - Canada
      • 5.10.2.2 Europe
        • 5.10.2.2.1 The European Union (EU) - Artificial Intelligence Act (AIA)
        • 5.10.2.2.2 General Data Protection Regulation (Europe)
      • 5.10.2.3 Asia Pacific
        • 5.10.2.3.1 Interim Administrative Measures for Generative Artificial Intelligence Services (China)
        • 5.10.2.3.2 The National AI Strategy (Singapore)
        • 5.10.2.3.3 The Hiroshima AI Process Comprehensive Policy Framework (Japan)
      • 5.10.2.4 Middle East & Africa
        • 5.10.2.4.1 The National Strategy for Artificial Intelligence (UAE)
        • 5.10.2.4.2 The National Artificial Intelligence Strategy (Qatar)
        • 5.10.2.4.3 The AI Ethics Principles and Guidelines (Dubai)
      • 5.10.2.5 Latin America
        • 5.10.2.5.1 The Santiago Declaration (Chile)
        • 5.10.2.5.2 The Brazilian Artificial Intelligence Strategy (EBIA)
  • 5.11 ARCHITECTURE: AI AS A SERVICE
    • 5.11.1 AI INFRASTRUCTURE
    • 5.11.2 AI SERVICES
    • 5.11.3 AI TOOLS
  • 5.12 PATENT ANALYSIS
    • 5.12.1 METHODOLOGY
    • 5.12.2 PATENTS FILED, BY DOCUMENT TYPE
    • 5.12.3 INNOVATION AND PATENT APPLICATIONS
  • 5.13 PRICING ANALYSIS
    • 5.13.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY SERVICE TYPE
    • 5.13.2 INDICATIVE PRICING ANALYSIS, BY PRODUCT TYPE
  • 5.14 KEY CONFERENCES AND EVENTS, 2024-2025
  • 5.15 PORTER'S FIVE FORCES' ANALYSIS
    • 5.15.1 THREAT OF NEW ENTRANTS
    • 5.15.2 THREAT OF SUBSTITUTES
    • 5.15.3 BARGAINING POWER OF SUPPLIERS
    • 5.15.4 BARGAINING POWER OF BUYERS
    • 5.15.5 INTENSITY OF COMPETITIVE RIVALRY
  • 5.16 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
    • 5.16.1 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • 5.17 KEY STAKEHOLDERS & BUYING CRITERIA
    • 5.17.1 KEY STAKEHOLDERS IN BUYING PROCESS
    • 5.17.2 BUYING CRITERIA

6 AI AS A SERVICE MARKET, BY PRODUCT TYPE

  • 6.1 INTRODUCTION
    • 6.1.1 PRODUCT TYPE: AI AS A SERVICE MARKET DRIVERS
  • 6.2 CHATBOTS & VIRTUAL ASSISTANTS
    • 6.2.1 ORGANIZATIONS LOOKING AT AI AS A SERVICE PROVIDERS FOR ADVANCED SOLUTIONS WITHOUT INCURRING COSTS ON PHYSICAL STRUCTURES
  • 6.3 MACHINE LEARNING FRAMEWORKS
    • 6.3.1 OPEN-SOURCE FRAMEWORKS SUCH AS TENSORFLOW, PYTORCH, AND SCIKIT-LEARN INCREASINGLY BEING EMBRACED IN AIAAS MARKET
  • 6.4 APPLICATION PROGRAMMING INTERFACE (API)
    • 6.4.1 API PROVIDES EFFICIENT METHODS TO INTERACT WITH AI SERVICES SO BUSINESSES CAN INCORPORATE ADVANCED AI TECHNOLOGIES
  • 6.5 NO-CODE OR LOW-CODE ML TOOLS
    • 6.5.1 EASE OF ACCESS SPEEDS UP DEVELOPMENT AND PROMOTES WIDER ADOPTION OF AI IN DIFFERENT VERTICALS
  • 6.6 DATA PRE-PROCESSING TOOLS
    • 6.6.1 DATA PRE-PROCESSING TOOLS HELP TO CLEAN, TRANSFORM, AND STRUCTURE DATA, ENSURING ITS QUALITY AND CONSISTENCY

7 AI AS A SERVICE MARKET, BY SERVICE TYPE

  • 7.1 INTRODUCTION
    • 7.1.1 SERVICE TYPE: AI AS A SERVICE MARKET DRIVERS
  • 7.2 MACHINE LEARNING AS A SERVICE (MLAAS)
    • 7.2.1 USERS CAN LEVERAGE MLAAS PLATFORMS TO CREATE PREDICTIVE MODELS, TAKING ADVANTAGE OF SCALABILITY AND FLEXIBILITY
    • 7.2.2 DATA PREPARATION AND PREPROCESSING
    • 7.2.3 MODEL DEVELOPMENT AND TRAINING
    • 7.2.4 MODEL DEPLOYMENT AND MANAGEMENT
    • 7.2.5 MODEL EVALUATION AND TESTING
    • 7.2.6 RECOMMENDATION SERVICES
    • 7.2.7 OTHERS IN MACHINE LEARNING AS A SERVICE
  • 7.3 NATURAL LANGUAGE PROCESSING AS A SERVICE (NLPAAS)
    • 7.3.1 QUALITY CONTROL MECHANISMS IN NLPAAS PLATFORMS, ACCURACY, AND EFFECTIVENESS OF MODELS TO BE MAINTAINED THROUGH CONTINUOUS MONITORING
    • 7.3.2 SPEECH RECOGNITION
    • 7.3.3 SEMANTIC SEARCH
    • 7.3.4 SENTIMENT ANALYSIS
    • 7.3.5 VOICE RECOGNITION
    • 7.3.6 TEXT-TO-SPEECH (TTS)
    • 7.3.7 OTHERS IN NATURAL LANGUAGE PROCESSING AS A SERVICE
  • 7.4 COMPUTER VISION AS A SERVICE
    • 7.4.1 ENTERPRISES CAN ATTAIN HIGH ACCURACY IN PROCESSES LIKE OBJECT DETECTION, FACIAL RECOGNITION, AND IMAGE CLASSIFICATION
    • 7.4.2 IMAGE RECOGNITION
    • 7.4.3 FACE RECOGNITION
    • 7.4.4 VIDEO ANALYTICS
    • 7.4.5 OBJECT DETECTION
    • 7.4.6 OTHERS IN COMPUTER VISION AS A SERVICE
  • 7.5 PREDICTIVE ANALYTICS AND DATA SCIENCE AS A SERVICE (DSAAS)
    • 7.5.1 DSAAS SUPPORTS PREDICTIVE ANALYTICS BY PROVIDING COMPANIES WITH ADVANCED ANALYTICAL CAPABILITIES THAT DO NOT REQUIRE INTERNAL EXPERTISE
    • 7.5.2 OPERATIONAL INTELLIGENCE
    • 7.5.3 SUPPLY CHAIN ANALYTICS
    • 7.5.4 PREDICTIVE MAINTENANCE
    • 7.5.5 RISK MANAGEMENT
    • 7.5.6 OTHERS IN PREDICTIVE ANALYTICS AND DATA SCIENCE AS A SERVICE
  • 7.6 GENERATIVE AI AS A SERVICE
    • 7.6.1 GENERATIVE AI AS A SERVICE PLATFORMS CAN ALSO SERVE AS RESOURCES FOR DATA AUGMENTATION, UTILIZING AI-CREATED SAMPLES TO IMPROVE TRAINING DATASETS FOR ML MODELS
    • 7.6.2 CODE GENERATION & SOFTWARE DEVELOPMENT
    • 7.6.3 CONTENT CREATION
    • 7.6.4 FRAUD DETECTION
    • 7.6.5 CONTENT MODERATION
    • 7.6.6 DATA EXTRACTION
    • 7.6.7 OTHERS IN GENERATIVE AI AS A SERVICE

8 AI AS A SERVICE MARKET, BY BUSINESS FUNCTION

  • 8.1 INTRODUCTION
    • 8.1.1 BUSINESS FUNCTION: AI AS A SERVICE MARKET DRIVERS
  • 8.2 FINANCE
    • 8.2.1 AI TO RESHAPE FINANCIAL SECTOR BY AUTOMATING TASKS, ENHANCING COMPLIANCE WITH ADVANCED DATA ANALYSIS, AND ENABLING CUSTOMIZED CUSTOMER ENGAGEMENTS
  • 8.3 MARKETING
    • 8.3.1 AI TO REVOLUTIONIZE MARKETING TRENDS THROUGH HYPER-PERSONALIZATION, PREDICTIVE ANALYTICS, AND REAL-TIME DECISION-MAKING
  • 8.4 SALES
    • 8.4.1 AIAAS PLATFORMS TO OFFER IMMEDIATE UNDERSTANDING OF CUSTOMER ACTIONS, ALLOWING SALES TEAMS TO CUSTOMIZE THEIR SALES PITCHES AND PROMOTIONS
  • 8.5 OPERATIONS & SUPPLY CHAIN
    • 8.5.1 AI-DRIVEN PREDICTIVE ANALYSIS TO RECOGNIZE POSSIBLE INTERRUPTIONS AND RESTRICTIONS IN SUPPLY NETWORK, ALLOWING FOR PREEMPTIVE RISK MANAGEMENT APPROACHES
  • 8.6 HUMAN RESOURCES
    • 8.6.1 AI PROGRAMS TO ANTICIPATE UPCOMING SKILL DEFICIENCIES, DETECT POSSIBLE TURNOVER CONCERNS, AND SUGGEST SPECIFIC INTERVENTIONS

9 AI AS A SERVICE MARKET, BY ORGANIZATION SIZE

  • 9.1 INTRODUCTION
    • 9.1.1 ORGANIZATION SIZE: AI AS A SERVICE MARKET DRIVERS
  • 9.2 SMALL & MEDIUM-SIZED ENTERPRISES
    • 9.2.1 SMES CAN USE GENERATIVE AIAAS IN AUTOMATING CUSTOMER SERVICE OR IN ANALYZING HUGE DATASETS
  • 9.3 LARGE ENTERPRISES
    • 9.3.1 AIAAS MODEL ENABLES QUICK DEPLOYMENT AND INTEGRATION OF AI CAPABILITIES, WHICH IS CRUCIAL FOR LARGE ENTERPRISES LOOKING TO STAY COMPETITIVE

10 AI AS A SERVICE MARKET, BY END USER

  • 10.1 INTRODUCTION
    • 10.1.1 END USER: AI AS A SERVICE MARKET DRIVERS
  • 10.2 ENTERPRISES
    • 10.2.1 BFSI
      • 10.2.1.1 AIaaS and blockchain to create secure, transparent transactions in BFSI domain
    • 10.2.2 RETAIL & E-COMMERCE
      • 10.2.2.1 Advancements in machine learning, natural language processing, and computer vision technologies to drive retail & e-commerce market growth
    • 10.2.3 TECHNOLOGY
      • 10.2.3.1 AIaaS to enable technology firms to rapidly test new concepts and applications by offering pre-built algorithms and models
    • 10.2.4 MEDIA & ENTERTAINMENT
      • 10.2.4.1 Media companies to use ML algorithms to analyze viewer preferences and behaviors to provide personalized content suggestions
    • 10.2.5 MANUFACTURING
      • 10.2.5.1 In manufacturing, predictive maintenance capability to be one of key benefits gained from AIaaS implementation
    • 10.2.6 HEALTHCARE & LIFE SCIENCES
      • 10.2.6.1 AIaaS to help address critical challenges in patient care, diagnostics, and drug development
    • 10.2.7 ENERGY & UTILITIES
      • 10.2.7.1 Data obtained from sensors and smart meters to allow energy suppliers to determine system inefficiencies by using AI
    • 10.2.8 GOVERNMENT & DEFENSE
      • 10.2.8.1 AI algorithms to detect potential threats and emerging patterns that need immediate attention by using large amounts of data from different sources
    • 10.2.9 TELECOMMUNICATIONS
      • 10.2.9.1 Telecom companies can achieve better understanding of customer preferences and behaviors by utilizing advanced ML models
    • 10.2.10 TRANSPORTATION & LOGISTICS
      • 10.2.10.1 AIaaS allows for route optimization by examining traffic patterns, weather conditions, and delivery windows
    • 10.2.11 OTHER ENTERPRISE END USERS
  • 10.3 INDIVIDUAL USERS

11 AI AS A SERVICE MARKET, BY REGION

  • 11.1 INTRODUCTION
  • 11.2 NORTH AMERICA
    • 11.2.1 NORTH AMERICA: AI AS A SERVICE MARKET DRIVERS
    • 11.2.2 NORTH AMERICA: MACROECONOMIC OUTLOOK
    • 11.2.3 US
      • 11.2.3.1 Rapid growth and responsible development of AIaaS market in US
    • 11.2.4 CANADA
      • 11.2.4.1 Canada's strategic growth in AIaaS market: Innovation, investment, and ethical leadership
  • 11.3 EUROPE
    • 11.3.1 EUROPE: AI AS A SERVICE MARKET DRIVERS
    • 11.3.2 EUROPE: MACROECONOMIC OUTLOOK
    • 11.3.3 UK
      • 11.3.3.1 UK's leadership in AIaaS Market: Innovation, safety, and sustainable growth
    • 11.3.4 GERMANY
      • 11.3.4.1 Germany's focus on ethical AI practices positions it well for continued growth in AIaaS market
    • 11.3.5 FRANCE
      • 11.3.5.1 France's emphasis on ethical AI practices and regulatory frameworks to foster trust among businesses and consumers
    • 11.3.6 ITALY
      • 11.3.6.1 Digital Future for Italy is document that will help government officials and businesspersons shape their policies
    • 11.3.7 SPAIN
      • 11.3.7.1 Spanish government has recognized transformative potential of AI and developed national strategy
    • 11.3.8 REST OF EUROPE
  • 11.4 ASIA PACIFIC
    • 11.4.1 ASIA PACIFIC: AI AS A SERVICE MARKET DRIVERS
    • 11.4.2 ASIA PACIFIC: MACROECONOMIC OUTLOOK
    • 11.4.3 CHINA
      • 11.4.3.1 China's use of Nvidia chips via Azure and Google Clouds highlights its ability to leverage global resources
    • 11.4.4 INDIA
      • 11.4.4.1 Growth of AIaaS market in India driven by combination of government initiatives and technological innovation
    • 11.4.5 JAPAN
      • 11.4.5.1 Government has recognized potential of AI to address demographic challenges and has implemented policies
    • 11.4.6 SOUTH KOREA
      • 11.4.6.1 South Korea introduced "Act on the Development and Distribution of AI" outlining guidelines for safe and ethical use of AI technologies
    • 11.4.7 AUSTRALIA & NEW ZEALAND
      • 11.4.7.1 Australian and New Zealand governments likely to continue fostering environment conducive to sustainable AI development
    • 11.4.8 SINGAPORE
      • 11.4.8.1 Singapore government investment will support initiatives that uplift various sectors by integrating AI
    • 11.4.9 REST OF ASIA PACIFIC
  • 11.5 MIDDLE EAST & AFRICA
    • 11.5.1 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET DRIVERS
    • 11.5.2 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
    • 11.5.3 MIDDLE EAST
      • 11.5.3.1 Saudi Arabia
        • 11.5.3.1.1 Saudi Arabia to be global leader in AI by fostering innovation, attracting international talent, and creating robust regulatory framework
      • 11.5.3.2 UAE
        • 11.5.3.2.1 UAE to be well-positioned to capitalize on growing demand for AIaaS by driving economic growth while addressing societal challenges through innovative AI applications
      • 11.5.3.3 QATAR
        • 11.5.3.3.1 Qatar's commitment to diversifying its economy beyond oil and gas leading to significant initiatives aimed at integrating AI technologies across sectors
      • 11.5.3.4 Turkey
        • 11.5.3.4.1 Turkish AI ecosystem to benefit from international collaborations, such as the recent global initiatives led by Turkish Artificial Intelligence Initiative (TRAI)
      • 11.5.3.5 Rest of Middle East
    • 11.5.4 AFRICA
  • 11.6 LATIN AMERICA
    • 11.6.1 LATIN AMERICA: AI AS A SERVICE MARKET DRIVERS
    • 11.6.2 LATIN AMERICA: MACROECONOMIC OUTLOOK
    • 11.6.3 BRAZIL
      • 11.6.3.1 Brazilian government has unveiled USD 4 billion initiative aimed at accelerating AI development
    • 11.6.4 MEXICO
      • 11.6.4.1 Vibrant startup ecosystem and increasing collaboration between government and private enterprises to drive growth of AIaaS market in Mexico
    • 11.6.5 ARGENTINA
      • 11.6.5.1 TIVIT announced investment of 1.5 billion pesos to promote AI and technological innovation in Argentina
    • 11.6.6 REST OF LATIN AMERICA

12 COMPETITIVE LANDSCAPE

  • 12.1 OVERVIEW
  • 12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
  • 12.3 REVENUE ANALYSIS
  • 12.4 MARKET SHARE ANALYSIS
    • 12.4.1 MARKET RANKING ANALYSIS
  • 12.5 PRODUCT COMPARATIVE ANALYSIS
    • 12.5.1 PRODUCT COMPARATIVE ANALYSIS, BY AI AS A SERVICE
      • 12.5.1.1 Amazon SageMaker (AWS)
      • 12.5.1.2 Vertex AI Studio (Google)
      • 12.5.1.3 Azure AI Studio (Microsoft)
      • 12.5.1.4 Watson Studio (IBM)
      • 12.5.1.5 Oracle Code Assist (Oracle)
  • 12.6 COMPANY VALUATION AND FINANCIAL METRICS
  • 12.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
    • 12.7.1 STARS
    • 12.7.2 EMERGING LEADERS
    • 12.7.3 PERVASIVE PLAYERS
    • 12.7.4 PARTICIPANTS
    • 12.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
      • 12.7.5.1 Company Footprint
      • 12.7.5.2 Region Footprint
      • 12.7.5.3 Business Function Footprint
      • 12.7.5.4 Product Type Footprint
      • 12.7.5.5 End User Footprint
  • 12.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
    • 12.8.1 PROGRESSIVE COMPANIES
    • 12.8.2 RESPONSIVE COMPANIES
    • 12.8.3 DYNAMIC COMPANIES
    • 12.8.4 STARTING BLOCKS
    • 12.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2023
      • 12.8.5.1 Detailed List of Key Startups/SMEs
      • 12.8.5.2 Competitive Benchmarking Of Key Startups/SMEs
  • 12.9 COMPETITIVE SCENARIO AND TRENDS
    • 12.9.1 PRODUCT LAUNCHES AND ENHANCEMENTS
    • 12.9.2 DEALS

13 COMPANY PROFILES

  • 13.1 INTRODUCTION
    • 13.1.1 MICROSOFT
      • 13.1.1.1 Business overview
      • 13.1.1.2 Products/Solutions/Services offered
      • 13.1.1.3 Recent developments
        • 13.1.1.3.1 Product launches and enhancements
        • 13.1.1.3.2 Deals
      • 13.1.1.4 MnM view
        • 13.1.1.4.1 Right to win
        • 13.1.1.4.2 Strategic choices
        • 13.1.1.4.3 Weaknesses and competitive threats
    • 13.1.2 IBM
      • 13.1.2.1 Business overview
      • 13.1.2.2 Products/Solutions/Services offered
      • 13.1.2.3 Recent developments
        • 13.1.2.3.1 Product enhancements
        • 13.1.2.3.2 Deals
      • 13.1.2.4 MnM view
        • 13.1.2.4.1 Right to win
        • 13.1.2.4.2 Strategic choices
        • 13.1.2.4.3 Weaknesses and competitive threats
    • 13.1.3 SAP
      • 13.1.3.1 Business overview
      • 13.1.3.2 Products/Solutions/Services offered
      • 13.1.3.3 Recent developments
        • 13.1.3.3.1 Product launches and enhancements
        • 13.1.3.3.2 Deals
      • 13.1.3.4 MnM view
        • 13.1.3.4.1 Right to win
        • 13.1.3.4.2 Strategic choices
        • 13.1.3.4.3 Weaknesses and competitive threats
    • 13.1.4 AWS
      • 13.1.4.1 Business overview
      • 13.1.4.2 Solutions/Services offered
      • 13.1.4.3 Recent developments
        • 13.1.4.3.1 Product launches and enhancements
        • 13.1.4.3.2 Deals
      • 13.1.4.4 MnM view
        • 13.1.4.4.1 Right to win
        • 13.1.4.4.2 Strategic choices
        • 13.1.4.4.3 Weaknesses and competitive threats
    • 13.1.5 GOOGLE
      • 13.1.5.1 Business overview
      • 13.1.5.2 Products/Solutions/Services offered
      • 13.1.5.3 Recent developments
        • 13.1.5.3.1 Product enhancements
        • 13.1.5.3.2 Deals
      • 13.1.5.4 MnM view
        • 13.1.5.4.1 Right to win
        • 13.1.5.4.2 Strategic choices
        • 13.1.5.4.3 Weaknesses and competitive threats
    • 13.1.6 SALESFORCE
      • 13.1.6.1 Business overview
      • 13.1.6.2 Products/Solutions/Services offered
      • 13.1.6.3 Recent developments
        • 13.1.6.3.1 Product enhancements
        • 13.1.6.3.2 Deals
    • 13.1.7 ORACLE
      • 13.1.7.1 Business overview
      • 13.1.7.2 Products/Solutions/Services offered
      • 13.1.7.3 Recent developments
        • 13.1.7.3.1 Product enhancements
        • 13.1.7.3.2 Deals
    • 13.1.8 NVIDIA
      • 13.1.8.1 Business overview
      • 13.1.8.2 Products/Solutions/Services offered
      • 13.1.8.3 Recent developments
        • 13.1.8.3.1 Product launches and enhancements
        • 13.1.8.3.2 Deals
    • 13.1.9 FICO
      • 13.1.9.1 Business overview
      • 13.1.9.2 Products/Solutions/Services offered
      • 13.1.9.3 Recent developments
        • 13.1.9.3.1 Product enhancements
        • 13.1.9.3.2 Deals
    • 13.1.10 CLOUDERA
      • 13.1.10.1 Business overview
      • 13.1.10.2 Products/Solutions/Services offered
      • 13.1.10.3 Recent developments
        • 13.1.10.3.1 Product enhancements
        • 13.1.10.3.2 Deals
    • 13.1.11 SERVICENOW
    • 13.1.12 HPE
    • 13.1.13 ALTAIR
    • 13.1.14 OPENAI
    • 13.1.15 SAS INSTITUTE
    • 13.1.16 DATAROBOT
    • 13.1.17 DATABRICKS
    • 13.1.18 C3 AI
    • 13.1.19 H20.AI
    • 13.1.20 ALIBABA CLOUD
  • 13.2 STARTUP/SME PROFILES
    • 13.2.1 RAINBIRD TECHNOLOGIES
    • 13.2.2 BIGML
    • 13.2.3 COHERE
    • 13.2.4 GLEAN
    • 13.2.5 YOTTAMINE ANALYTICS
    • 13.2.6 SCALE AI
    • 13.2.7 LANDING AI
    • 13.2.8 YELLOW.AI
    • 13.2.9 INFLECTION AI
    • 13.2.10 ANYSCALE
    • 13.2.11 ABRIDGE
    • 13.2.12 MISTRAL AI
    • 13.2.13 CODEIUM
    • 13.2.14 ARTHUR
    • 13.2.15 LEVITY AI
    • 13.2.16 UNSTRUCTURED AI
    • 13.2.17 CLARIFAI
    • 13.2.18 SYNTHESIA
    • 13.2.19 KATONIC AI
    • 13.2.20 DEEPSEARCH
    • 13.2.21 MINDTITAN
    • 13.2.22 VISO.AI
    • 13.2.23 SOFTWEB SOLUTIONS

14 ADJACENT AND RELATED MARKETS

  • 14.1 INTRODUCTION
  • 14.2 ARTIFICIAL INTELLIGENCE (AI) MARKET - GLOBAL FORECAST TO 2030
    • 14.2.1 MARKET DEFINITION
    • 14.2.2 MARKET OVERVIEW
      • 14.2.2.1 Artificial Intelligence Market, By Offering
      • 14.2.2.2 Artificial Intelligence Market, By Technology
      • 14.2.2.3 Artificial Intelligence Market, By Business Function
      • 14.2.2.4 Artificial Intelligence Market, By Vertical
      • 14.2.2.5 Artificial Intelligence Market, By Region
  • 14.3 GENERATIVE AI MARKET - GLOBAL FORECAST TO 2030
    • 14.3.1 MARKET DEFINITION
    • 14.3.2 MARKET OVERVIEW
      • 14.3.2.1 Generative AI Market, By Offering
      • 14.3.2.2 Generative AI Market, By Application
      • 14.3.2.3 Generative AI Market, By Vertical
      • 14.3.2.4 Generative AI Market, By Region

15 APPENDIX

  • 15.1 DISCUSSION GUIDE
  • 15.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 15.3 CUSTOMIZATION OPTIONS
  • 15.4 RELATED REPORTS
  • 15.5 AUTHOR DETAILS

List of Tables

  • TABLE 1 UNITED STATES DOLLAR EXCHANGE RATE, 2019-2023
  • TABLE 2 PRIMARY INTERVIEWS
  • TABLE 3 FACTOR ANALYSIS
  • TABLE 4 GLOBAL AI AS A SERVICE MARKET SIZE AND GROWTH RATE, 2019-2023 (USD MILLION, Y-O-Y %)
  • TABLE 5 GLOBAL AI AS A SERVICE MARKET SIZE AND GROWTH RATE, 2024-2029 (USD MILLION, Y-O-Y %)
  • TABLE 6 AI AS A SERVICE MARKET: ECOSYSTEM
  • TABLE 7 NORTH AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 8 EUROPE: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 9 ASIA PACIFIC: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 10 MIDDLE EAST & AFRICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 11 LATIN AMERICA: REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • TABLE 12 PATENTS FILED, 2015-2024
  • TABLE 13 LIST OF FEW PATENTS IN AI AS A SERVICE MARKET, 2023-2024
  • TABLE 14 AVERAGE SELLING PRICES OF KEY PLAYERS FOR TOP 3 SERVICE TYPES
  • TABLE 15 INDICATIVE PRICING LEVELS OF AI AS A SERVICE SOLUTIONS, BY PRODUCT TYPE
  • TABLE 16 AI AS A SERVICE MARKET: DETAILED LIST OF CONFERENCES & EVENTS, 2024-2025
  • TABLE 17 PORTERS' FIVE FORCES' IMPACT ON AI AS A SERVICE MARKET
  • TABLE 18 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END USERS
  • TABLE 19 KEY BUYING CRITERIA FOR TOP THREE END USERS
  • TABLE 20 AI AS A SERVICE MARKET, BY PRODUCT TYPE, 2019-2023 (USD MILLION)
  • TABLE 21 AI AS A SERVICE MARKET, BY PRODUCT TYPE, 2024-2029 (USD MILLION)
  • TABLE 22 CHATBOTS & VIRTUAL ASSISTANTS: AI AS A SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 23 CHATBOTS & VIRTUAL ASSISTANTS: AI AS A SERVICE MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 24 MACHINE LEARNING FRAMEWORKS: AI AS A SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 25 MACHINE LEARNING FRAMEWORKS: AI AS A SERVICE MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 26 APPLICATION PROGRAMMING INTERFACE: AI AS A SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 27 APPLICATION PROGRAMMING INTERFACE: AI AS A SERVICE MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 28 NO-CODE OR LOW-CODE ML TOOLS: AI AS A SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 29 NO-CODE OR LOW-CODE ML TOOLS: AI AS A SERVICE MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 30 DATA PRE-PROCESSING TOOLS: AI AS A SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 31 DATA PRE-PROCESSING TOOLS: AI AS A SERVICE MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 32 AI AS A SERVICE MARKET, BY SERVICE TYPE, 2019-2023 (USD MILLION)
  • TABLE 33 AI AS A SERVICE MARKET, BY SERVICE TYPE, 2024-2029 (USD MILLION)
  • TABLE 34 MACHINE LEARNING AS A SERVICE: AI AS A SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 35 MACHINE LEARNING AS A SERVICE: AI AS A SERVICE MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 36 NATURAL LANGUAGE PROCESSING AS A SERVICE: AI AS A SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 37 NATURAL LANGUAGE PROCESSING AS A SERVICE: AI AS A SERVICE MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 38 COMPUTER VISION AS A SERVICE: AI AS A SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 39 COMPUTER VISION AS A SERVICE: AI AS A SERVICE MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 40 PREDICTIVE ANALYTICS AND DATA SCIENCE AS A SERVICE: AI AS A SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 41 PREDICTIVE ANALYTICS AND DATA SCIENCE AS A SERVICE: AI AS A SERVICE MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 42 GENERATIVE AI AS A SERVICE: AI AS A SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 43 GENERATIVE AI AS A SERVICE: AI AS A SERVICE MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 44 AI AS A SERVICE MARKET, BY BUSINESS FUNCTION, 2019-2023 (USD MILLION)
  • TABLE 45 AI AS A SERVICE MARKET, BY BUSINESS FUNCTION, 2024-2029 (USD MILLION)
  • TABLE 46 FINANCE: AI AS A SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 47 FINANCE: AI AS A SERVICE MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 48 MARKETING: AI AS A SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 49 MARKETING: AI AS A SERVICE MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 50 SALES: AI AS A SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 51 SALES: AI AS A SERVICE MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 52 OPERATIONS & SUPPLY CHAIN: AI AS A SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 53 OPERATIONS & SUPPLY CHAIN: AI AS A SERVICE MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 54 HUMAN RESOURCES: AI AS A SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 55 HUMAN RESOURCES: AI AS A SERVICE MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 56 AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2019-2023 (USD MILLION)
  • TABLE 57 AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION)
  • TABLE 58 SMES: AI AS A SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 59 SMES: AI AS A SERVICE MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 60 LARGE ENTERPRISES: AI AS A SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 61 LARGE ENTERPRISES: AI AS A SERVICE MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 62 AI AS A SERVICE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 63 AI AS A SERVICE MARKET, BY END USER, 2024-2029 (USD MILLION)
  • TABLE 64 AI AS A SERVICE MARKET, BY ENTERPRISE, 2019-2023 (USD MILLION)
  • TABLE 65 AI AS A SERVICE MARKET, BY ENTERPRISE, 2024-2029 (USD MILLION)
  • TABLE 66 BFSI: AI AS A SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 67 BFSI: AI AS A SERVICE MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 68 RETAIL & E-COMMERCE: AI AS A SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 69 RETAIL & E-COMMERCE: AI AS A SERVICE MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 70 TECHNOLOGY: AI AS A SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 71 TECHNOLOGY: AI AS A SERVICE MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 72 MEDIA & ENTERTAINMENT: AI AS A SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 73 MEDIA & ENTERTAINMENT: AI AS A SERVICE MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 74 MANUFACTURING: AI AS A SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 75 MANUFACTURING: AI AS A SERVICE MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 76 HEALTHCARE & LIFE SCIENCES: AI AS A SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 77 HEALTHCARE & LIFE SCIENCES: AI AS A SERVICE MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 78 ENERGY & UTILITIES: AI AS A SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 79 ENERGY & UTILITIES: AI AS A SERVICE MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 80 GOVERNMENT & DEFENSE: AI AS A SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 81 GOVERNMENT & DEFENSE: AI AS A SERVICE MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 82 TELECOMMUNICATIONS: AI AS A SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 83 TELECOMMUNICATIONS: AI AS A SERVICE MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 84 TRANSPORTATION & LOGISTICS: AI AS A SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 85 TRANSPORTATION & LOGISTICS: AI AS A SERVICE MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 86 OTHER ENTERPRISE LEVEL END USERS: AI AS A SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 87 OTHER ENTERPRISE LEVEL END USERS: AI AS A SERVICE MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 88 INDIVIDUAL USERS: AI AS A SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 89 INDIVIDUAL USERS: AI AS A SERVICE MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 90 AI AS A SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 91 AI AS A SERVICE MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 92 NORTH AMERICA: AI AS A SERVICE MARKET, BY PRODUCT TYPE, 2019-2023 (USD MILLION)
  • TABLE 93 NORTH AMERICA: AI AS A SERVICE MARKET, BY PRODUCT TYPE, 2024-2029 (USD MILLION)
  • TABLE 94 NORTH AMERICA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2019-2023 (USD MILLION)
  • TABLE 95 NORTH AMERICA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION)
  • TABLE 96 NORTH AMERICA: AI AS A SERVICE MARKET, BY BUSINESS FUNCTION, 2019-2023 (USD MILLION)
  • TABLE 97 NORTH AMERICA: AI AS A SERVICE MARKET, BY BUSINESS FUNCTION, 2024-2029 (USD MILLION)
  • TABLE 98 NORTH AMERICA: AI AS A SERVICE MARKET, BY SERVICE TYPE, 2019-2023 (USD MILLION)
  • TABLE 99 NORTH AMERICA: AI AS A SERVICE MARKET, BY SERVICE TYPE, 2024-2029 (USD MILLION)
  • TABLE 100 NORTH AMERICA: AI AS A SERVICE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 101 NORTH AMERICA: AI AS A SERVICE MARKET, BY END USER, 2024-2029 (USD MILLION)
  • TABLE 102 NORTH AMERICA: AI AS A SERVICE MARKET, BY ENTERPRISE, 2019-2023 (USD MILLION)
  • TABLE 103 NORTH AMERICA: AI AS A SERVICE MARKET, BY ENTERPRISE, 2024-2029 (USD MILLION)
  • TABLE 104 NORTH AMERICA: AI AS A SERVICE MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
  • TABLE 105 NORTH AMERICA: AI AS A SERVICE MARKET, BY COUNTRY, 2024-2029 (USD MILLION)
  • TABLE 106 US: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2019-2023 (USD MILLION)
  • TABLE 107 US: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION)
  • TABLE 108 CANADA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2019-2023 (USD MILLION)
  • TABLE 109 CANADA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION)
  • TABLE 110 EUROPE: AI AS A SERVICE MARKET, BY PRODUCT TYPE, 2019-2023 (USD MILLION)
  • TABLE 111 EUROPE: AI AS A SERVICE MARKET, BY PRODUCT TYPE, 2024-2029 (USD MILLION)
  • TABLE 112 EUROPE: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2019-2023 (USD MILLION)
  • TABLE 113 EUROPE: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION)
  • TABLE 114 EUROPE: AI AS A SERVICE MARKET, BY BUSINESS FUNCTION, 2019-2023 (USD MILLION)
  • TABLE 115 EUROPE: AI AS A SERVICE MARKET, BY BUSINESS FUNCTION, 2024-2029 (USD MILLION)
  • TABLE 116 EUROPE: AI AS A SERVICE MARKET, BY SERVICE TYPE, 2019-2023 (USD MILLION)
  • TABLE 117 EUROPE: AI AS A SERVICE MARKET, BY SERVICE TYPE, 2024-2029 (USD MILLION)
  • TABLE 118 EUROPE: AI AS A SERVICE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 119 EUROPE: AI AS A SERVICE MARKET, BY END USER, 2024-2029 (USD MILLION)
  • TABLE 120 EUROPE: AI AS A SERVICE MARKET, BY ENTERPRISE, 2019-2023 (USD MILLION)
  • TABLE 121 EUROPE: AI AS A SERVICE MARKET, BY ENTERPRISE, 2024-2029 (USD MILLION)
  • TABLE 122 EUROPE: AI AS A SERVICE MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
  • TABLE 123 EUROPE: AI AS A SERVICE MARKET, BY COUNTRY, 2024-2029 (USD MILLION)
  • TABLE 124 UK: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2019-2023 (USD MILLION)
  • TABLE 125 UK: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION)
  • TABLE 126 GERMANY: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2019-2023 (USD MILLION)
  • TABLE 127 GERMANY: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION)
  • TABLE 128 FRANCE: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2019-2023 (USD MILLION)
  • TABLE 129 FRANCE: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION)
  • TABLE 130 ITALY: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2019-2023 (USD MILLION)
  • TABLE 131 ITALY: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION)
  • TABLE 132 SPAIN: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2019-2023 (USD MILLION)
  • TABLE 133 SPAIN: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION)
  • TABLE 134 REST OF EUROPE: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2019-2023 (USD MILLION)
  • TABLE 135 REST OF EUROPE: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION)
  • TABLE 136 ASIA PACIFIC: AI AS A SERVICE MARKET, BY PRODUCT TYPE, 2019-2023 (USD MILLION)
  • TABLE 137 ASIA PACIFIC: AI AS A SERVICE MARKET, BY PRODUCT TYPE, 2024-2029 (USD MILLION)
  • TABLE 138 ASIA PACIFIC: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2019-2023 (USD MILLION)
  • TABLE 139 ASIA PACIFIC: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION)
  • TABLE 140 ASIA PACIFIC: AI AS A SERVICE MARKET, BY BUSINESS FUNCTION, 2019-2023 (USD MILLION)
  • TABLE 141 ASIA PACIFIC: AI AS A SERVICE MARKET, BY BUSINESS FUNCTION, 2024-2029 (USD MILLION)
  • TABLE 142 ASIA PACIFIC: AI AS A SERVICE MARKET, BY SERVICE TYPE, 2019-2023 (USD MILLION)
  • TABLE 143 ASIA PACIFIC: AI AS A SERVICE MARKET, BY SERVICE TYPE, 2024-2029 (USD MILLION)
  • TABLE 144 ASIA PACIFIC: AI AS A SERVICE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 145 ASIA PACIFIC: AI AS A SERVICE MARKET, BY END USER, 2024-2029 (USD MILLION)
  • TABLE 146 ASIA PACIFIC: AI AS A SERVICE MARKET, BY ENTERPRISE, 2019-2023 (USD MILLION)
  • TABLE 147 ASIA PACIFIC: AI AS A SERVICE MARKET, BY ENTERPRISE, 2024-2029 (USD MILLION)
  • TABLE 148 ASIA PACIFIC: AI AS A SERVICE MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
  • TABLE 149 ASIA PACIFIC: AI AS A SERVICE MARKET, BY COUNTRY, 2024-2029 (USD MILLION)
  • TABLE 150 CHINA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2019-2023 (USD MILLION)
  • TABLE 151 CHINA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION)
  • TABLE 152 INDIA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2019-2023 (USD MILLION)
  • TABLE 153 INDIA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION)
  • TABLE 154 JAPAN: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2019-2023 (USD MILLION)
  • TABLE 155 JAPAN: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION)
  • TABLE 156 SOUTH KOREA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2019-2023 (USD MILLION)
  • TABLE 157 SOUTH KOREA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION)
  • TABLE 158 AUSTRALIA & NEW ZEALAND: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2019-2023 (USD MILLION)
  • TABLE 159 AUSTRALIA & NEW ZEALAND: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION)
  • TABLE 160 SINGAPORE: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2019-2023 (USD MILLION)
  • TABLE 161 SINGAPORE: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION)
  • TABLE 162 REST OF ASIA PACIFIC: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2019-2023 (USD MILLION)
  • TABLE 163 REST OF ASIA PACIFIC: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION)
  • TABLE 164 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY PRODUCT TYPE, 2019-2023 (USD MILLION)
  • TABLE 165 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY PRODUCT TYPE, 2024-2029 (USD MILLION)
  • TABLE 166 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2019-2023 (USD MILLION)
  • TABLE 167 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION)
  • TABLE 168 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY BUSINESS FUNCTION, 2019-2023 (USD MILLION)
  • TABLE 169 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY BUSINESS FUNCTION, 2024-2029 (USD MILLION)
  • TABLE 170 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY SERVICE TYPE, 2019-2023 (USD MILLION)
  • TABLE 171 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY SERVICE TYPE, 2024-2029 (USD MILLION)
  • TABLE 172 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 173 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY END USER, 2024-2029 (USD MILLION)
  • TABLE 174 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY ENTERPRISE, 2019-2023 (USD MILLION)
  • TABLE 175 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY ENTERPRISE, 2024-2029 (USD MILLION)
  • TABLE 176 MIDDLE EAST & AFRICA: AI AS A SERVICE MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 177 MIDDLE EAST AND AFRICA: AI AS A SERVICE MARKET, BY REGION, 2024-2029 (USD MILLION)
  • TABLE 178 MIDDLE EAST: AI AS A SERVICE MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
  • TABLE 179 MIDDLE EAST: AI AS A SERVICE MARKET, BY COUNTRY, 2024-2029 (USD MILLION)
  • TABLE 180 SAUDI ARABIA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2019-2023 (USD MILLION)
  • TABLE 181 SAUDI ARABIA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION)
  • TABLE 182 UAE: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2019-2023 (USD MILLION)
  • TABLE 183 UAE: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION)
  • TABLE 184 QATAR: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2019-2023 (USD MILLION)
  • TABLE 185 QATAR: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION)
  • TABLE 186 TURKEY: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2019-2023 (USD MILLION)
  • TABLE 187 TURKEY: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION)
  • TABLE 188 REST OF MIDDLE EAST: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2019-2023 (USD MILLION)
  • TABLE 189 REST OF MIDDLE EAST: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION)
  • TABLE 190 AFRICA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2019-2023 (USD MILLION)
  • TABLE 191 AFRICA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION)
  • TABLE 192 LATIN AMERICA: AI AS A SERVICE MARKET, BY PRODUCT TYPE, 2019-2023 (USD MILLION)
  • TABLE 193 LATIN AMERICA: AI AS A SERVICE MARKET, BY PRODUCT TYPE, 2024-2029 (USD MILLION)
  • TABLE 194 LATIN AMERICA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2019-2023 (USD MILLION)
  • TABLE 195 LATIN AMERICA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION)
  • TABLE 196 LATIN AMERICA: AI AS A SERVICE MARKET, BY BUSINESS FUNCTION, 2019-2023 (USD MILLION)
  • TABLE 197 LATIN AMERICA: AI AS A SERVICE MARKET, BY BUSINESS FUNCTION, 2024-2029 (USD MILLION)
  • TABLE 198 LATIN AMERICA: AI AS A SERVICE MARKET, BY SERVICE TYPE, 2019-2023 (USD MILLION)
  • TABLE 199 LATIN AMERICA: AI AS A SERVICE MARKET, BY SERVICE TYPE, 2024-2029 (USD MILLION)
  • TABLE 200 LATIN AMERICA: AI AS A SERVICE MARKET, BY END USER, 2019-2023 (USD MILLION)
  • TABLE 201 LATIN AMERICA: AI AS A SERVICE MARKET, BY END USER, 2024-2029 (USD MILLION)
  • TABLE 202 LATIN AMERICA: AI AS A SERVICE MARKET, BY ENTERPRISE, 2019-2023 (USD MILLION)
  • TABLE 203 LATIN AMERICA: AI AS A SERVICE MARKET, BY ENTERPRISE, 2024-2029 (USD MILLION)
  • TABLE 204 LATIN AMERICA: AI AS A SERVICE MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
  • TABLE 205 LATIN AMERICA: AI AS A SERVICE MARKET, BY COUNTRY, 2024-2029 (USD MILLION)
  • TABLE 206 BRAZIL: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2019-2023 (USD MILLION)
  • TABLE 207 BRAZIL: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION)
  • TABLE 208 MEXICO: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2019-2023 (USD MILLION)
  • TABLE 209 MEXICO: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION)
  • TABLE 210 ARGENTINA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2019-2023 (USD MILLION)
  • TABLE 211 ARGENTINA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION)
  • TABLE 212 REST OF LATIN AMERICA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2019-2023 (USD MILLION)
  • TABLE 213 REST OF LATIN AMERICA: AI AS A SERVICE MARKET, BY ORGANIZATION SIZE, 2024-2029 (USD MILLION)
  • TABLE 214 OVERVIEW OF STRATEGIES ADOPTED BY KEY AI AS A SERVICE VENDORS
  • TABLE 215 AI AS A SERVICE MARKET: DEGREE OF COMPETITION
  • TABLE 216 REGION FOOTPRINT (19 COMPANIES)
  • TABLE 217 BUSINESS FUNCTION FOOTPRINT (19 COMPANIES)
  • TABLE 218 PRODUCT TYPE FOOTPRINT (19 COMPANIES)
  • TABLE 219 END USER FOOTPRINT (19 COMPANIES)
  • TABLE 220 AI AS A SERVICE MARKET: DETAILED LIST OF KEY STARTUPS/SMES
  • TABLE 221 AI AS A SERVICE MARKET: COMPETITIVE BENCHMARKING OF STARTUPS/SMES
  • TABLE 222 AI AS A SERVICE MARKET: PRODUCT LAUNCHES AND ENHANCEMENTS, JANUARY 2021-SEPTEMBER 2024
  • TABLE 223 AI AS A SERVICE MARKET: DEALS, JANUARY 2021-SEPTEMBER 2024
  • TABLE 224 MICROSOFT: COMPANY OVERVIEW
  • TABLE 225 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 226 MICROSOFT: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 227 MICROSOFT: DEALS
  • TABLE 228 IBM: COMPANY OVERVIEW
  • TABLE 229 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 230 IBM: PRODUCT ENHANCEMENTS
  • TABLE 231 IBM: DEALS
  • TABLE 232 SAP: COMPANY OVERVIEW
  • TABLE 233 SAP: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 234 SAP: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 235 SAP: DEALS
  • TABLE 236 AWS: COMPANY OVERVIEW
  • TABLE 237 AWS: SOLUTIONS/SERVICES OFFERED
  • TABLE 238 AWS: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 239 AWS: DEALS
  • TABLE 240 GOOGLE: COMPANY OVERVIEW
  • TABLE 241 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 242 GOOGLE: PRODUCT ENHANCEMENTS
  • TABLE 243 GOOGLE: DEALS
  • TABLE 244 SALESFORCE: COMPANY OVERVIEW
  • TABLE 245 SALESFORCE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 246 SALESFORCE: PRODUCT ENHANCEMENTS
  • TABLE 247 SALESFORCE: DEALS
  • TABLE 248 ORACLE: COMPANY OVERVIEW
  • TABLE 249 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 250 ORACLE: PRODUCT ENHANCEMENTS
  • TABLE 251 ORACLE: DEALS
  • TABLE 252 NVIDIA: COMPANY OVERVIEW
  • TABLE 253 NVIDIA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 254 NVIDIA: PRODUCT LAUNCHES AND ENHANCEMENTS
  • TABLE 255 NVIDIA: DEALS
  • TABLE 256 FICO: COMPANY OVERVIEW
  • TABLE 257 FICO: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 258 FICO: PRODUCT ENHANCEMENTS
  • TABLE 259 FICO: DEALS
  • TABLE 260 CLOUDERA: COMPANY OVERVIEW
  • TABLE 261 CLOUDERA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
  • TABLE 262 CLOUDERA: PRODUCT ENHANCEMENTS
  • TABLE 263 CLOUDERA: DEALS
  • TABLE 264 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2019-2023 (USD BILLION)
  • TABLE 265 ARTIFICIAL INTELLIGENCE MARKET, BY OFFERING, 2024-2030 (USD BILLION)
  • TABLE 266 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2019-2023 (USD BILLION)
  • TABLE 267 ARTIFICIAL INTELLIGENCE MARKET, BY TECHNOLOGY, 2024-2030 (USD BILLION)
  • TABLE 268 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2019-2023 (USD BILLION)
  • TABLE 269 ARTIFICIAL INTELLIGENCE MARKET, BY BUSINESS FUNCTION, 2024-2030 (USD BILLION)
  • TABLE 270 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2019-2023 (USD BILLION)
  • TABLE 271 ARTIFICIAL INTELLIGENCE MARKET, BY VERTICAL, 2024-2030 (USD BILLION)
  • TABLE 272 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2019-2023 (USD BILLION)
  • TABLE 273 ARTIFICIAL INTELLIGENCE MARKET, BY REGION, 2024-2030 (USD BILLION)
  • TABLE 274 GENERATIVE AI MARKET, BY OFFERING, 2019-2023 (USD MILLION)
  • TABLE 275 GENERATIVE AI MARKET, BY OFFERING, 2024-2030 (USD MILLION)
  • TABLE 276 GENERATIVE AI MARKET, BY APPLICATION, 2019-2023 (USD MILLION)
  • TABLE 277 GENERATIVE AI MARKET, BY APPLICATION, 2024-2030 (USD MILLION)
  • TABLE 278 GENERATIVE AI MARKET, BY VERTICAL, 2019-2023 (USD MILLION)
  • TABLE 279 GENERATIVE AI MARKET, BY VERTICAL, 2024-2030 (USD MILLION)
  • TABLE 280 GENERATIVE AI MARKET, BY REGION, 2019-2023 (USD MILLION)
  • TABLE 281 GENERATIVE AI MARKET, BY REGION, 2024-2030 (USD MILLION)

List of Figures

  • FIGURE 1 AI AS A SERVICE MARKET: RESEARCH DESIGN
  • FIGURE 2 DATA TRIANGULATION
  • FIGURE 3 AI AS A SERVICE MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
  • FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1, BOTTOM UP (SUPPLY SIDE): REVENUE FROM PRODUCT TYPES OF AI AS A SERVICE MARKET
  • FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 2, BOTTOM UP (SUPPLY SIDE): COLLECTIVE REVENUE FROM ALL PRODUCT TYPES OF AI AS A SERVICE MARKET
  • FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 3, BOTTOM UP (SUPPLY SIDE): COLLECTIVE REVENUE FROM ALL PRODUCT TYPES OF AI AS A SERVICE MARKET
  • FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 4, BOTTOM UP (DEMAND SIDE): SHARE OF AI AS A SERVICE THROUGH OVERALL AI SPENDING
  • FIGURE 8 MACHINE LEARNING FRAMEWORK SEGMENT TO HOLD LARGEST MARKET SIZE IN 2024
  • FIGURE 9 SALES TO BE LEADING SEGMENT IN 2024
  • FIGURE 10 SMALL & MEDIUM-SIZED ENTERPRISES TO BE FASTER-GROWING DURING FORECAST PERIOD
  • FIGURE 11 MACHINE LEARNING AS A SERVICE SEGMENT TO HOLD LARGEST MARKET IN 2024
  • FIGURE 12 ENTERPRISES SEGMENT SET TO REGISTER LARGER MARKET SHARE IN 2024
  • FIGURE 13 HEALTHCARE & LIFE SCIENCES TO WITNESS HIGHEST GROWTH RATE DURING FORECAST PERIOD
  • FIGURE 14 ASIA PACIFIC TO REGISTER FASTEST GROWTH BETWEEN 2024 AND 2029
  • FIGURE 15 RISE OF PRE-TRAINED AI MODELS AND GROWING DEMAND FOR AI-ENHANCED CYBERSECURITY SOLUTIONS TO DRIVE MARKET GROWTH
  • FIGURE 16 GENERATIVE AI AS A SERVICE SEGMENT TO ACCOUNT FOR HIGHEST GROWTH RATE DURING FORECAST PERIOD
  • FIGURE 17 MACHINE LEARNING FRAMEWORKS AND BFSI TO BE LARGEST SHAREHOLDERS IN NORTH AMERICA AI AS A SERVICE MARKET IN 2024
  • FIGURE 18 NORTH AMERICA TO HOLD LARGEST MARKET SHARE IN 2024
  • FIGURE 19 AI AS A SERVICE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
  • FIGURE 20 DATA CENTERS PROJECTED TO REPRESENT 13% OF GLOBAL ANNUAL ELECTRICITY CONSUMPTION AND 6% OF CARBON FOOTPRINT BY 2030
  • FIGURE 21 MARKET POTENTIAL OF GENERATIVE AI IN ENHANCING AI AS A SERVICE ACROSS INDUSTRIES
  • FIGURE 22 EVOLUTION OF AI AS A SERVICE MARKET
  • FIGURE 23 KEY PLAYERS IN AI AS A SERVICE MARKET ECOSYSTEM
  • FIGURE 24 AI AS A SERVICE MARKET: SUPPLY CHAIN ANALYSIS
  • FIGURE 25 AI EQUITY FUNDING (BILLION) AND DEALS, 2019-2024
  • FIGURE 26 LEADING AI AS A SERVICE VENDORS, BY FUNDING VALUE (BILLION) AND FUNDING ROUND, 2015-2024
  • FIGURE 27 KEY ARCHITECTURAL COMPONENTS OF AIAAS
  • FIGURE 28 NUMBER OF PATENTS GRANTED FOR AI AS A SERVICE MARKET, 2015-2024
  • FIGURE 29 REGIONAL ANALYSIS OF PATENTS GRANTED, 2015-2024
  • FIGURE 30 AVERAGE SELLING PRICES OF KEY PLAYERS FOR TOP 3 SERVICE TYPES
  • FIGURE 31 AI AS A SERVICE MARKET: PORTER'S FIVE FORCES ANALYSIS
  • FIGURE 32 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
  • FIGURE 33 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END USERS
  • FIGURE 34 KEY BUYING CRITERIA FOR TOP THREE END USERS
  • FIGURE 35 NO-CODE OR LOW-CODE ML TOOLS TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 36 GENERATIVE AI AS A SERVICE SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 37 OPERATIONS & SUPPLY CHAIN SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 38 SMES SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 39 INDIVIDUAL USERS SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
  • FIGURE 40 HEALTHCARE & LIFE SCIENCES SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 41 ASIA PACIFIC TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
  • FIGURE 42 INDIA TO REGISTER HIGHEST GROWTH RATE IN AI AS A SERVICE MARKET DURING FORECAST PERIOD
  • FIGURE 43 NORTH AMERICA: AI AS A SERVICE MARKET SNAPSHOT
  • FIGURE 44 ASIA PACIFIC: AI AS A SERVICE MARKET SNAPSHOT
  • FIGURE 45 TOP 5 PUBLIC PLAYERS HAVE DOMINATED MARKET FOR LAST 5 YEARS
  • FIGURE 46 SHARE OF LEADING COMPANIES IN AI AS A SERVICE MARKET, 2023
  • FIGURE 47 PRODUCT COMPARATIVE ANALYSIS, BY AI AS A SERVICE
  • FIGURE 48 COMPANY VALUATION AND FINANCIAL METRICS OF KEY VENDORS
  • FIGURE 49 YEAR-TO-DATE (YTD) PRICE TOTAL RETURN AND 5-YEAR STOCK BETA OF KEY VENDORS
  • FIGURE 50 AI AS A SERVICE MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2023
  • FIGURE 51 COMPANY FOOTPRINT (19 COMPANIES)
  • FIGURE 52 AI AS A SERVICE MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES), 2023
  • FIGURE 53 MICROSOFT: COMPANY SNAPSHOT
  • FIGURE 54 IBM: COMPANY SNAPSHOT
  • FIGURE 55 SAP: COMPANY SNAPSHOT
  • FIGURE 56 AWS: COMPANY SNAPSHOT
  • FIGURE 57 GOOGLE: COMPANY SNAPSHOT
  • FIGURE 58 SALESFORCE: COMPANY SNAPSHOT
  • FIGURE 59 ORACLE: COMPANY SNAPSHOT
  • FIGURE 60 NVIDIA: COMPANY SNAPSHOT
  • FIGURE 61 FICO: COMPANY SNAPSHOT