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市场调查报告书
商品编码
1662820

2030 年基于 AI 的 SaaS 市场预测：按 AI 技术类型、功能、交付方式、部署模型、业务规模、用例和地区进行的全球市场分析

AI Created Saas Market Forecasts to 2030 - Global Analysis by Type of AI Technology, Functionality, Delivery Method, Deployment Model, Size of Business, Application and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，全球人工智慧 SaaS 市场预计在 2024 年达到 724 亿美元，到 2030 年将达到 5,985 亿美元，预测期内的复合年增长率为 42.2%。

人工智慧驱动的 SaaS（软体即服务）是指由人工智慧驱动、以订阅模式提供的云端基础的软体解决方案。这些平台利用机器学习和自然语言处理等人工智慧技术来自动化流程、增强决策能力并创造个人化体验。由人工智慧驱动的 SaaS 解决方案使企业能够分析大型资料集、提高业务效率并优化客户互动。透过提供可扩展和适应性强的服务，这些平台旨在满足各个行业的特定需求，减少手动工作，提高准确性，并透过智慧自动化和预测功能推动创新。

自动化需求不断成长

人工智慧驱动的 SaaS 市场受到日益增长的自动化需求的推动，迫使企业采用可扩展、经济高效且高效的解决方案。随着公司寻求提高生产力、减少手动工作并简化业务，基于人工智慧的 SaaS 解决方案能够自动化各种工作角色，从资料处理到客户支援。由于人工智慧解决方案提供更快、更准确、更个人化的服务，这种自动化趋势正在推动更广泛的市场采用，最终提高业务效率和竞争力。

初期投资高

基于人工智慧的 SaaS 解决方案的高初始投资可能会限制中小企业的采用并阻碍市场成长。研究、开发和基础设施的前期成本高昂，使得预算有限的新兴企业和组织难以采用人工智慧平台。这一经济障碍限制了人工智慧 SaaS 的广泛采用，减缓了其与各行业的融合，并延迟了潜在效益的呈现。

增强资料分析和洞察

改进的资料分析和洞察力将使企业能够做出资料主导的决策，从而推动人工智慧驱动的 SaaS 产业的发展。人工智慧平台能够分析大量资料并发现人类难以辨别的模式和趋势。其结果是更好的预测、简化的程序和有针对性的策略，从而提高了整体业务绩效和竞争力。由此，企业越来越多地转向人工智慧驱动的 SaaS 解决方案来利用资料、获得竞争优势并提高业务效率，从而推动市场成长。

复杂性和整合挑战

人工智慧 SaaS 市场的复杂性和整合挑战使得企业难以将人工智慧解决方案无缝嵌入现有系统中，从而阻碍了其采用。管理这些整合需要专业技能和资源，这可能会减慢实施速度、增加成本并造成混乱。拥有传统基础设施的公司可能会面临额外的障碍，限制业务中人工智慧驱动的 SaaS 平台的可扩展性和有效性。

COVID-19 的影响

随着企业寻求高效、远端和可扩展的技术来适应疫情的影响，COVID-19 加速了人工智慧驱动的 SaaS 解决方案的采用。数位化业务、远距工作和电子商务的转变刺激了对自动化、资料分析和客户参与的人工智慧工具的需求。然而，疫情也带来了一些挑战，例如预算限制和技术采用延迟，整体减缓了市场的成长潜力。

预计预测期内医疗保健领域将占据最大的市场占有率。

人工智慧驱动的 SaaS 解决方案透过自动化管理业务、改善患者照护管理和加快医疗保健流程来节省营运成本。此外，患者资料的即时分析可以改善资料主导的决策，从而提高有效性和结果。远端医疗、健康分析和电子健康记录(EHR) 系统的需求不断增长，进一步推动了 AI SaaS 在医疗保健领域的应用。

预计预测期内内容创作部分将以最高的复合年增长率成长。

预计内容创作部分将在预测期内呈现最高的成长率。人工智慧工具有助于创建个人化的行销材料、社群媒体贴文、产品描述甚至多媒体内容，从而提高效率并降低成本。随着人工智慧驱动的 SaaS 平台简化内容製作、优化参与度并实现即时客製化，对可扩展、创新内容解决方案的需求正在增长，最终推动人工智慧驱动的 SaaS 服务的成长。

比最大的地区

在预测期内，由于数位转型的快速发展和各行业对自动化的需求不断增加，预计亚太地区将占据最大的市场占有率。云端运算采用率的提高加上人工智慧技术的进步为企业提供了经济高效且可扩展的解决方案。政府的数位化措施和越来越多的新兴企业进一步推动了市场成长。此外，医疗保健、金融和零售等行业也越来越多地采用人工智慧 SaaS 解决方案来提高效率、资料分析和个人化服务，推动该地区人工智慧 SaaS 市场的扩张。

复合年增长率最高的地区

预计北美地区在预测期内将呈现最高的复合年增长率。这是因为整个产业对效率、自动化和资料主导洞察力的需求。越来越多的企业采用人工智慧解决方案来改善客户体验、提高业务效率并获得竞争优势。市场扩张的动力源于该地区强大的技术基础设施、丰富的人才资源以及对人工智慧研究的大量投资。此外，由于对可扩展且经济实惠的软体解决方案的需求不断增长，北美正在加速采用人工智慧驱动的 SaaS 平台。

提供免费客製化

订阅此报告的客户可享有以下免费自订选项之一：

  • 公司简介
    • 对其他市场参与企业（最多 3 家公司）进行全面分析
    • 主要企业的 SWOT 分析（最多 3 家公司）
  • 地理细分
    • 根据客户兴趣对主要国家进行市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争性基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第 2 章 前言

  • 概述
  • 相关利益者
  • 研究范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 研究资讯来源
    • 主要研究资讯来源
    • 二手研究资料资讯来源
    • 先决条件

第三章 市场走势分析

  • 介绍
  • 驱动程式
  • 限制因素
  • 机会
  • 威胁
  • 应用分析
  • 新兴市场
  • COVID-19 的影响

第 4 章 波特五力分析

  • 供应商的议价能力
  • 买家的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

第 5 章。

  • 介绍
  • MLaaS（Machine Learning-as-a-Service）
  • NLPaaS（Natural Language Processing-as-a-Service）
  • CVaaS（Computer Vision-as-a-Service）
  • 语音辨识与人工智慧语音助手
  • RPAaaS（Robotic Process Automation-as-a-Service）
  • 其他的

第六章 全球 AI 驱动的 SaaS 市场（按功能）

  • 介绍
  • 分析与见解
  • 客户参与
  • 预测分析
  • 内容创作
  • 安全和防诈骗

第 7 章 全球 AI 驱动的 SaaS 市场（以交付方式）

  • 介绍
  • PaaS（Platform-as-a-Service）
  • SaaS（Software-as-a-Service）
  • IaaS（Infrastructure-as-a-Service）

第 8 章 全球 AI 支援的 SaaS 市场（依部署模式）

  • 介绍
  • 公共云端
  • 私有云端
  • 混合云端

第九章 全球人工智慧 SaaS 市场（按业务规模）

  • 介绍
  • 中小型企业
  • 大型企业

第 10 章 全球 AI 驱动的 SaaS 市场（按应用）

  • 介绍
  • 医疗
  • 零售
  • 金融
  • 製造业
  • 教育
  • 行销和广告
  • 客户服务
  • 人力资源（HR）
  • 运输和物流
  • 其他的

第 11 章 全球 AI 驱动的 SaaS 市场（按地区）

  • 介绍
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十二章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十三章 公司概况

  • Adobe
  • Alteryx
  • Amazon Web Services（AWS）
  • C3.ai
  • Cortexica
  • DataRobot
  • Freshworks
  • Google Cloud
  • Hootsuite
  • HubSpot
  • IBM
  • Kaltura
  • LogMeIn
  • Microsoft
  • MonkeyLearn
  • Pega Systems
  • Salesforce
  • Sentient Technologies
  • UiPath
  • Zendesk
Product Code: SMRC28681

According to Stratistics MRC, the Global AI Created Saas Market is accounted for $72.4 billion in 2024 and is expected to reach $598.5 billion by 2030 growing at a CAGR of 42.2% during the forecast period. AI-Created SaaS (Software as a Service) refers to cloud-based software solutions powered by artificial intelligence that are delivered via subscription models. These platforms leverage AI technologies, such as machine learning and natural language processing, to automate processes, enhance decision-making, and provide personalized experiences. AI-Created SaaS solutions enable businesses to analyze large datasets, improve operational efficiency, and optimize customer interactions. By offering scalable and adaptable services, these platforms are designed to meet the specific needs of various industries, reducing manual workloads, improving accuracy, and fostering innovation through intelligent automation and predictive capabilities.

Market Dynamics:

Driver:

Increased Demand for Automation

The AI-Created SaaS market is driven by the growing need for automation, which forces companies to implement scalable, cost-effective, and efficient solutions. AI-powered SaaS solutions have the capacity to automate jobs across a variety of roles, from data processing to customer support, as businesses look to improve productivity, decrease manual involvement, and streamline operations. Because AI solutions offer quicker, more accurate, and more individualized services, this trend toward automation encourages wider market adoption and eventually increases operational efficiency and competitiveness.

Restraint:

High Initial Investment

High initial investment in AI-created SaaS solutions can hinder market growth by limiting accessibility for small and medium-sized businesses. The substantial upfront costs required for research, development, and infrastructure makes it challenging for startups and organizations with limited budgets to adopt AI-powered platforms. This financial barrier restricts the widespread adoption of AI SaaS, slowing down its integration across various industries and delaying its potential benefits.

Opportunity:

Enhanced Data Analysis and Insights

Improved data analysis and insights propel the AI-Created SaaS industry by allowing firms to make data-driven decisions. Large volumes of data can be analyzed by AI-powered platforms, which find patterns and trends that people can would find challenging to identify. Better forecasts, streamlined procedures, and focused tactics result from this, raising overall performance and competitiveness. Because of this, companies are using AI SaaS solutions more and more to leverage data, obtain a competitive advantage, and boost operational effectiveness, thus it drives the growth of the market.

Threat:

Complexity and Integration Challenges

Complexity and integration challenges in the AI-Created SaaS market hinder adoption by making it difficult for businesses to seamlessly incorporate AI solutions into their existing systems. The need for specialized skills and resources to manage these integrations can delay implementation, increase costs, and cause disruptions. Companies with legacy infrastructure may face additional obstacles, limiting the scalability and effectiveness of AI-driven SaaS platforms in their operations.

Covid-19 Impact

COVID-19 accelerated the adoption of AI-Created SaaS solutions as businesses sought efficient, remote, and scalable technologies to adapt to disruptions. The shift to digital operations, remote work, and e-commerce spurred demand for AI-powered tools for automation, data analysis, and customer engagement. However, the pandemic also posed challenges, including budget constraints and delays in technology adoption for some businesses, slowing down the market's full potential growth.

The healthcare segment is expected to account for the largest market share during the forecast period

The healthcare segment is expected to account for the largest market share during the forecast period, as AI-powered SaaS solutions automate administrative duties, improve patient care management, and expedite medical processes, they save operating expenses. With real-time analysis of patient data, they also improve data-driven decision-making, increasing effectiveness and results. The use of AI SaaS in healthcare is being further accelerated by the rising demand for telemedicine, health analytics, and electronic health record (EHR) systems.

The content creation segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the content creation segment is predicted to witness the highest growth rate, because it enhance the generation of high-quality content. AI-powered tools assist in creating personalized marketing materials, social media posts, product descriptions, and even multimedia content, improving efficiency and reducing costs. The demand for scalable and innovative content solutions is increasing, as AI SaaS platforms streamline content production, optimize engagement, and enable real-time customization, ultimately boosting the growth of AI-driven SaaS offerings.

Region with largest share:

During the forecast period, Asia Pacific region is expected to hold the largest market share, owing to rapid digital transformation and increasing demand for automation across industries. The rise of cloud adoption, coupled with advancements in AI technologies, enables businesses to leverage cost-effective, scalable solutions. Governments promoting digitalization, along with a growing number of startups, are further accelerating market growth. Additionally, industries like healthcare, finance, and retail are adopting AI-powered SaaS solutions for improved efficiency, data analytics, and personalized services, driving the region's AI SaaS market expansion.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR, due to industry-wide demands for efficiency, automation, and data-driven insights. AI-powered solutions are being embraced by businesses more and more in an effort to improve customer experiences, increase operational efficiency, and obtain a competitive advantage. Market expansion is fueled by the region's robust technology infrastructure, availability of highly qualified personnel, and significant investments in AI research. Furthermore, North America's adoption of AI-driven SaaS platforms is accelerated by the growing demand for scalable and affordable software solutions.

Key players in the market

Some of the key players profiled in the AI Created Saas Market include Adobe, Alteryx, Amazon Web Services (AWS) , C3.ai, Cortexica, DataRobot, Freshworks, Google Cloud, Hootsuite, HubSpot, IBM, Kaltura, LogMeIn, Microsoft, MonkeyLearn, Pega Systems, Salesforce, Sentient Technologies, UiPath and Zendesk.

Key Developments:

In January 2024, Amazon Web Services (AWS) is teaming up with renowned global investment and transformation company General Catalyst in a first-of-its-kind collaboration that is driving toward a stronger health care ecosystem, with the help of generative AI.

In January 2024, Amazon and Intuit expanded their partnership to bring their existing Amazon data into Intuit products and experiences-ultimately making it easier for sellers to understand and optimize profitability, manage cash flow, access capital, and simplify taxes with confidence.

In January 2024, Amazon and Anthropic announced a strategic collaboration, which included Anthropic naming Amazon Web Services (AWS) its primary cloud provider and Amazon making a $4 billion investment in Anthropic. Both companies will continue to work closely to keep advancing Trainium's hardware and software capabilities.

Types of AI Technology Covered:

  • Machine Learning (ML) as a Service
  • Natural Language Processing (NLP) as a Service
  • Computer Vision as a Service
  • Speech Recognition and AI-driven Voice Assistants
  • Robotic Process Automation (RPA) as a Service
  • Other Types of AI Technologies

Functionalities Covered:

  • Analytics and Insights
  • Customer Engagement
  • Predictive Analytics
  • Content Creation
  • Security and Fraud Prevention

Delivery Methods Covered:

  • Platform-as-a-Service (PaaS)
  • Software-as-a-Service (SaaS)
  • Infrastructure-as-a-Service (IaaS)

Deployment Models Covered:

  • Public Cloud
  • Private Cloud
  • Hybrid Cloud

Sizes of Business Covered:

  • Small and Medium-sized Enterprises
  • Large Enterprises

Applications Covered:

  • Healthcare
  • Retail
  • Finance
  • Manufacturing
  • Education
  • Marketing and Advertising
  • Customer Service
  • Human Resources (HR)
  • Transportation and Logistics
  • Other Applications

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 Emerging Markets
  • 3.8 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global AI Created Saas Market, By Type of AI Technology

  • 5.1 Introduction
  • 5.2 Machine Learning (ML) as a Service
  • 5.3 Natural Language Processing (NLP) as a Service
  • 5.4 Computer Vision as a Service
  • 5.5 Speech Recognition and AI-driven Voice Assistants
  • 5.6 Robotic Process Automation (RPA) as a Service
  • 5.7 Other Types of AI Technologies

6 Global AI Created Saas Market, By Functionality

  • 6.1 Introduction
  • 6.2 Analytics and Insights
  • 6.3 Customer Engagement
  • 6.4 Predictive Analytics
  • 6.5 Content Creation
  • 6.6 Security and Fraud Prevention

7 Global AI Created Saas Market, By Delivery Method

  • 7.1 Introduction
  • 7.2 Platform-as-a-Service (PaaS)
  • 7.3 Software-as-a-Service (SaaS)
  • 7.4 Infrastructure-as-a-Service (IaaS)

8 Global AI Created Saas Market, By Deployment Model

  • 8.1 Introduction
  • 8.2 Public Cloud
  • 8.3 Private Cloud
  • 8.4 Hybrid Cloud

9 Global AI Created Saas Market, By Size of Business

  • 9.1 Introduction
  • 9.2 Small and Medium-sized Enterprises
  • 9.3 Large Enterprises

10 Global AI Created Saas Market, By Application

  • 10.1 Introduction
  • 10.2 Healthcare
  • 10.3 Retail
  • 10.4 Finance
  • 10.5 Manufacturing
  • 10.6 Education
  • 10.7 Marketing and Advertising
  • 10.8 Customer Service
  • 10.9 Human Resources (HR)
  • 10.10 Transportation and Logistics
  • 10.11 Other Applications

11 Global AI Created Saas Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 Adobe
  • 13.2 Alteryx
  • 13.3 Amazon Web Services (AWS)
  • 13.4 C3.ai
  • 13.5 Cortexica
  • 13.6 DataRobot
  • 13.7 Freshworks
  • 13.8 Google Cloud
  • 13.9 Hootsuite
  • 13.10 HubSpot
  • 13.11 IBM
  • 13.12 Kaltura
  • 13.13 LogMeIn
  • 13.14 Microsoft
  • 13.15 MonkeyLearn
  • 13.16 Pega Systems
  • 13.17 Salesforce
  • 13.18 Sentient Technologies
  • 13.19 UiPath
  • 13.20 Zendesk

List of Tables

  • Table 1 Global AI Created Saas Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global AI Created Saas Market Outlook, By Type of AI Technology (2022-2030) ($MN)
  • Table 3 Global AI Created Saas Market Outlook, By Machine Learning (ML) as a Service (2022-2030) ($MN)
  • Table 4 Global AI Created Saas Market Outlook, By Natural Language Processing (NLP) as a Service (2022-2030) ($MN)
  • Table 5 Global AI Created Saas Market Outlook, By Computer Vision as a Service (2022-2030) ($MN)
  • Table 6 Global AI Created Saas Market Outlook, By Speech Recognition and AI-driven Voice Assistants (2022-2030) ($MN)
  • Table 7 Global AI Created Saas Market Outlook, By Robotic Process Automation (RPA) as a Service (2022-2030) ($MN)
  • Table 8 Global AI Created Saas Market Outlook, By Other Types of AI Technologies (2022-2030) ($MN)
  • Table 9 Global AI Created Saas Market Outlook, By Functionality (2022-2030) ($MN)
  • Table 10 Global AI Created Saas Market Outlook, By Analytics and Insights (2022-2030) ($MN)
  • Table 11 Global AI Created Saas Market Outlook, By Customer Engagement (2022-2030) ($MN)
  • Table 12 Global AI Created Saas Market Outlook, By Predictive Analytics (2022-2030) ($MN)
  • Table 13 Global AI Created Saas Market Outlook, By Content Creation (2022-2030) ($MN)
  • Table 14 Global AI Created Saas Market Outlook, By Security and Fraud Prevention (2022-2030) ($MN)
  • Table 15 Global AI Created Saas Market Outlook, By Delivery Method (2022-2030) ($MN)
  • Table 16 Global AI Created Saas Market Outlook, By Platform-as-a-Service (PaaS) (2022-2030) ($MN)
  • Table 17 Global AI Created Saas Market Outlook, By Software-as-a-Service (SaaS) (2022-2030) ($MN)
  • Table 18 Global AI Created Saas Market Outlook, By Infrastructure-as-a-Service (IaaS) (2022-2030) ($MN)
  • Table 19 Global AI Created Saas Market Outlook, By Deployment Model (2022-2030) ($MN)
  • Table 20 Global AI Created Saas Market Outlook, By Public Cloud (2022-2030) ($MN)
  • Table 21 Global AI Created Saas Market Outlook, By Private Cloud (2022-2030) ($MN)
  • Table 22 Global AI Created Saas Market Outlook, By Hybrid Cloud (2022-2030) ($MN)
  • Table 23 Global AI Created Saas Market Outlook, By Size of Business (2022-2030) ($MN)
  • Table 24 Global AI Created Saas Market Outlook, By Small and Medium-sized Enterprises (2022-2030) ($MN)
  • Table 25 Global AI Created Saas Market Outlook, By Large Enterprises (2022-2030) ($MN)
  • Table 26 Global AI Created Saas Market Outlook, By Application (2022-2030) ($MN)
  • Table 27 Global AI Created Saas Market Outlook, By Healthcare (2022-2030) ($MN)
  • Table 28 Global AI Created Saas Market Outlook, By Retail (2022-2030) ($MN)
  • Table 29 Global AI Created Saas Market Outlook, By Finance (2022-2030) ($MN)
  • Table 30 Global AI Created Saas Market Outlook, By Manufacturing (2022-2030) ($MN)
  • Table 31 Global AI Created Saas Market Outlook, By Education (2022-2030) ($MN)
  • Table 32 Global AI Created Saas Market Outlook, By Marketing and Advertising (2022-2030) ($MN)
  • Table 33 Global AI Created Saas Market Outlook, By Customer Service (2022-2030) ($MN)
  • Table 34 Global AI Created Saas Market Outlook, By Human Resources (HR) (2022-2030) ($MN)
  • Table 35 Global AI Created Saas Market Outlook, By Transportation and Logistics (2022-2030) ($MN)
  • Table 36 Global AI Created Saas Market Outlook, By Other Applications (2022-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.