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1662820

2030 年基於 AI 的 SaaS 市場預測：按 AI 技術類型、功能、交付方式、部署模型、業務規模、用例和地區進行的全球市場分析

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個工作天內

價格

根據 Stratistics MRC 的數據，全球人工智慧 SaaS 市場預計在 2024 年達到 724 億美元，到 2030 年將達到 5,985 億美元，預測期內的複合年成長率為 42.2%。

人工智慧驅動的 SaaS（軟體即服務）是指由人工智慧驅動、以訂閱模式提供的雲端基礎的軟體解決方案。這些平台利用機器學習和自然語言處理等人工智慧技術來自動化流程、增強決策能力並創造個人化體驗。由人工智慧驅動的 SaaS 解決方案使企業能夠分析大型資料集、提高業務效率並最佳化客戶互動。透過提供可擴展和適應性強的服務，這些平台旨在滿足各個行業的特定需求，減少手動工作，提高準確性，並透過智慧自動化和預測功能推動創新。

自動化需求不斷成長

人工智慧驅動的 SaaS 市場受到日益成長的自動化需求的推動，迫使企業採用可擴展、經濟高效且高效的解決方案。隨著公司尋求提高生產力、減少手動工作並簡化業務，基於人工智慧的 SaaS 解決方案能夠自動化各種工作角色，從資料處理到客戶支援。由於人工智慧解決方案提供更快、更準確、更個人化的服務，這種自動化趨勢正在推動更廣泛的市場採用，最終提高業務效率和競爭力。

初期投資高

基於人工智慧的 SaaS 解決方案的高初始投資可能會限制中小企業的採用並阻礙市場成長。研究、開發和基礎設施的前期成本高昂，使得預算有限的新興企業和組織難以採用人工智慧平台。這一經濟障礙限制了人工智慧 SaaS 的廣泛採用，減緩了其與各行業的融合，並延遲了潛在效益的呈現。

增強資料分析和洞察

改進的資料分析和洞察力將使企業能夠做出資料主導的決策，從而推動人工智慧驅動的 SaaS 產業的發展。人工智慧平台能夠分析大量資料並發現人類難以辨別的模式和趨勢。其結果是更好的預測、簡化的程序和有針對性的策略，從而提高了整體業務績效和競爭力。由此，企業擴大轉向人工智慧驅動的 SaaS 解決方案來利用資料、獲得競爭優勢並提高業務效率，從而推動市場成長。

複雜性和整合挑戰

人工智慧 SaaS 市場的複雜性和整合挑戰使得企業難以將人工智慧解決方案無縫嵌入現有系統中，從而阻礙了其採用。管理這些整合需要專業技能和資源，這可能會減慢實施速度、增加成本並造成混亂。擁有傳統基礎設施的公司可能會面臨額外的障礙，限制業務中人工智慧驅動的 SaaS 平台的可擴展性和有效性。

COVID-19 的影響

隨著企業尋求高效、遠端和可擴展的技術來適應疫情的影響，COVID-19 加速了人工智慧驅動的 SaaS 解決方案的採用。數位化業務、遠距工作和電子商務的轉變刺激了對自動化、資料分析和客戶參與的人工智慧工具的需求。然而，疫情也帶來了一些挑戰，例如預算限制和技術採用延遲，整體減緩了市場的成長潛力。

預計預測期內醫療保健領域將佔據最大的市場佔有率。

人工智慧驅動的 SaaS 解決方案透過自動化管理業務、改善患者照護管理和加快醫療保健流程來節省營運成本。此外，患者資料的即時分析可以改善資料主導的決策，從而提高有效性和結果。遠端醫療、健康分析和電子健康記錄(EHR) 系統的需求不斷成長，進一步推動了 AI SaaS 在醫療保健領域的應用。

預計預測期內內容創作部分將以最高的複合年成長率成長。

預計內容創作部分將在預測期內呈現最高的成長率。人工智慧工具有助於創建個人化的行銷材料、社群媒體貼文、產品描述甚至多媒體內容，從而提高效率並降低成本。隨著人工智慧驅動的 SaaS 平台簡化內容製作、最佳化參與度並實現即時客製化，對可擴展、創新內容解決方案的需求正在成長，最終推動人工智慧驅動的 SaaS 服務的成長。

比最大的地區

在預測期內，由於數位轉型的快速發展和各行業對自動化的需求不斷增加，預計亞太地區將佔據最大的市場佔有率。雲端運算採用率的提高加上人工智慧技術的進步為企業提供了經濟高效且可擴展的解決方案。政府的數位化措施和越來越多的新興企業進一步推動了市場成長。此外，醫療保健、金融和零售等行業也擴大採用人工智慧 SaaS 解決方案來提高效率、資料分析和個人化服務，推動該地區人工智慧 SaaS 市場的擴張。

複合年成長率最高的地區

預計北美地區在預測期內將呈現最高的複合年成長率。這是因為整個產業對效率、自動化和資料主導洞察力的需求。越來越多的企業採用人工智慧解決方案來改善客戶體驗、提高業務效率並獲得競爭優勢。市場擴張的動力源於該地區強大的技術基礎設施、豐富的人才資源以及對人工智慧研究的大量投資。此外，由於對可擴展且經濟實惠的軟體解決方案的需求不斷成長，北美正在加速採用人工智慧驅動的 SaaS 平台。

提供免費客製化

訂閱此報告的客戶可享有以下免費自訂選項之一：

  • 公司簡介
    • 對其他市場參與企業（最多 3 家公司）進行全面分析
    • 主要企業的 SWOT 分析（最多 3 家公司）
  • 地理細分
    • 根據客戶興趣對主要國家進行市場估計、預測和複合年成長率（註：基於可行性檢查）
  • 競爭性基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第 2 章 前言

  • 概述
  • 相關利益者
  • 研究範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 研究資訊來源
    • 主要研究資訊來源
    • 二手研究資料資訊來源
    • 先決條件

第3章 市場走勢分析

  • 介紹
  • 驅動程式
  • 限制因素
  • 機會
  • 威脅
  • 應用分析
  • 新興市場
  • COVID-19 的影響

第 4 章 波特五力分析

  • 供應商的議價能力
  • 買家的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

第 5 章。

  • 介紹
  • MLaaS（Machine Learning-as-a-Service）
  • NLPaaS（Natural Language Processing-as-a-Service）
  • CVaaS（Computer Vision-as-a-Service）
  • 語音辨識與人工智慧語音助手
  • RPAaaS（Robotic Process Automation-as-a-Service）
  • 其他

第6章全球AI 驅動的 SaaS 市場（按功能）

  • 介紹
  • 分析與見解
  • 客戶參與
  • 預測分析
  • 內容創作
  • 安全和防詐騙

第 7 章全球AI 驅動的 SaaS 市場（以交付方式）

  • 介紹
  • 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 市場（依部署模式）

  • 介紹
  • 公共雲端
  • 私有雲端
  • 混合雲端

第9章 全球人工智慧 SaaS 市場（按業務規模）

  • 介紹
  • 中小型企業
  • 大型企業

第 10 章全球AI 驅動的 SaaS 市場（按應用）

  • 介紹
  • 醫療
  • 零售
  • 金融
  • 製造業
  • 教育
  • 行銷和廣告
  • 客戶服務
  • 人力資源（HR）
  • 運輸和物流
  • 其他

第 11 章全球AI 驅動的 SaaS 市場（按地區）

  • 介紹
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第12章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第13章 公司概況

  • 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.