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PUBLISHER: Stratistics Market Research Consulting | PRODUCT CODE: 1662820

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PUBLISHER: Stratistics Market Research Consulting | PRODUCT CODE: 1662820

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

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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
Product Code: SMRC28681

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
Product Code: SMRC28681

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.

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Manager - EMEA

+32-2-535-7543

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Christine Sirois

Manager - Americas

+1-860-674-8796

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