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AI as a Service Market by Product Type (Chatbots, ML Framework, API, No Code/Low Code ML Tools), Service Type (Machine Learning as a Service, Natural Language Processing as a Service (Text to Speech), Generative AI as a Service) - Global Forecast to 2029

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    Report

  • 393 Pages
  • October 2024
  • Region: Global
  • Markets and Markets
  • ID: 4519596

High Demand for Platform Transferring Data from On-Premises to Cloud to Drive Market

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.

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 Analyst's 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 Analyst's 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 Analyst's 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 Analyst's 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 Analyst's 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: The Subscription Portal
15.3 Customization Options
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

Companies Mentioned

  • 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

Methodology

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Table Information