PUBLISHER: IMARC | PRODUCT CODE: 1451433
PUBLISHER: IMARC | PRODUCT CODE: 1451433
Machine Learning as a Service Market Report by Component, Organization Size, Application, End User, and Region 2024-2032
The global machine learning as a service (MLaaS) market size reached US$ 7.5 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 69.7 Billion by 2032, exhibiting a growth rate (CAGR) of 27.24%during 2024-2032. The growing demand for artificial intelligence (AI) solutions among organizations, rising popularity of cloud computing among businesses, and increasing emphasis on automation to accelerate business initiatives worldwide are some of the major factors propelling the market.
Machine learning as a service (MLaaS) is a comprehensive solution that provides access to machine learning capabilities and infrastructure through a cloud-based platform. It enables organizations to leverage the power of machine learning without the need for significant investments in hardware, software, and specialized expertise. MLaaS offers a range of services, tools, and resources that facilitate the development, deployment, and management of machine learning models. It provides a wide array of pre-built algorithms and models that can be easily accessed and utilized by developers and data scientists.
Global Machine Learning As A Service (MLaaS) Market
At present, the increasing demand for MLaaS to access machine learning (ML) capabilities without the need for extensive in-house infrastructure and expertise is impelling the growth of the market. Besides this, the rising automation of various business operations to increase efficiency and productivity and reduce the occurrence of manual errors is propelling the growth of the market. In addition, the growing advancements in ML algorithms, including deep learning and reinforcement learning, are offering a favorable market outlook. Apart from this, the increasing employment of MLaaS by businesses to leverage cutting-edge techniques to extract valuable insights from their data is supporting the growth of the market. Additionally, the rising emphasis on automation to accelerate business initiatives, achieve faster time-to-time markets, and realize quicker returns on investments (ROI) is contributing to the growth of the market.
Machine Learning as a Service (MLaaS) Market Trends/Drivers:
Rising demand for artificial intelligence (AI) solutions
At present, the increasing employment of AI solutions across various industries is fueling the demand for MLaaS. As organizations recognize the value of AI in optimizing processes, enhancing customer experiences, and gaining actionable insights from data, the demand for MLaaS solutions is increasing. Businesses are leveraging MLaaS to harness the power of machine learning algorithms without the need for significant investments in hardware and specialized talent. MLaaS solutions also offer pre-built machine learning models and data handling tools which businesses can easily implement. It has made AI accessible to small and medium-sized businesses, enabling them to compete with larger companies that have more resources for developing AI in-house.
Growing popularity of cloud computing
The rising popularity of cloud computing is significantly driving the demand for MLaaS as it provides a robust and scalable environment for deploying machine learning models, enabling businesses to access cutting-edge ML capabilities without investing in expensive hardware or software. Besides this, cloud computing facilitates easy storage, processing, and analysis of large volumes of data, which are crucial for machine learning. Cloud-based MLaaS solutions can handle these vast datasets efficiently, providing high-speed data processing capabilities and real-time analytics, thereby enabling quick decision-making and creating a competitive edge for businesses. In addition, cloud platforms ensure easy collaboration and seamless sharing of machine learning models and data across different departments or even different organizations. This ease of collaboration can be instrumental in businesses to drive AI-driven digital transformation, thereby leading to increased uptake of MLaaS.
Increasing generation of data
Presently, there is an increase in data generation worldwide, which is significantly propelling the demand for MLaaS. As businesses generate and collect more data, the potential for ML to extract value from it also increases. MLaaS providers deliver ready-made machine learning models that can be trained on this data to gain valuable insights and make informed business decisions. Moreover, the real-time analysis of massive datasets is crucial in fast-paced, data-driven scenarios. Businesses need to make decisions quickly based on the latest information available. MLaaS platforms, equipped with the capability to process large datasets in real time, can provide businesses with immediate insights, thereby improving their operational efficiency and enabling swift and data-driven decision-making.
Machine Learning as a Service (MLaaS) Industry Segmentation:
IMARC Group provides an analysis of the key trends in each segment of the global machine learning as a service (MLaaS) market report, along with forecasts at the global and regional levels from 2024-2032. Our report has categorized the market based on component, organization size, application and end user.
Breakup by Component:
Software
Services
Services dominate the market
The report has provided a detailed breakup and analysis of the market based on the component. This includes software and services. According to the report, services represented the largest segment.
MLaaS providers offer pre-built and customizable machine learning models, which simplifies the adoption of machine learning technologies, especially for small and medium enterprises (SMEs) that may lack the resources or expertise to develop these models in-house. Developing and implementing machine learning models in-house can be quite expensive, considering the costs of hiring skilled data scientists, investing in robust hardware, and maintaining the necessary software. MLaaS provides a more cost-effective alternative as it operates on a pay-as-you-go model, allowing businesses to only pay for what they use. MLaaS providers also offer ongoing support and maintenance services, which can help businesses overcome any challenges they encounter when using the technology. This support can help businesses mitigate risks and ensure that their machine-learning models are performing optimally.
Breakup by Organization Size:
Small and Medium-sized Enterprises
Large Enterprises
Large enterprises hold the largest share in the market
A detailed breakup and analysis of the market based on the organization size has also been provided in the report. This includes small and medium-sized enterprises and large enterprises. According to the report, large enterprises accounted for the largest market share.
Large enterprises are increasingly turning to machine learning as a service (MLaaS) as it is a convenient, scalable, and cost-effective solution for implementing advanced machine learning capabilities, allowing large businesses to make data-driven decisions and gain a competitive edge. The vast amount of data generated by these enterprises necessitates efficient tools to extract meaningful insights, and MLaaS offers robust machine-learning models capable of processing this information swiftly and effectively. Moreover, in a dynamic business environment, large enterprises need to respond spontaneously to changing market conditions. With MLaaS, they can leverage real-time analytics to derive immediate insights from their data, enhancing their decision-making process and operational efficiency. This is particularly beneficial for industries that operate in fast-paced environments, such as finance, technology, and e-commerce.
Breakup by Application:
Marketing and Advertising
Fraud Detection and Risk Management
Predictive Analytics
Augmented and Virtual Reality
Natural Language Processing
Computer Vision
Security and Surveillance
Others
Marketing and advertising hold the biggest share in the market
A detailed breakup and analysis of the market based on the application have also been provided in the report. This includes marketing and advertising, fraud detection and risk management, predictive analytics, augmented and virtual reality, natural language processing, computer vision, security and surveillance, and others. According to the report, marketing and advertising accounted for the largest market share.
Marketing and advertising industries increasingly require machine learning as a service (MLaaS) due to its potential to transform their operations and customer engagements significantly. In these fields, understanding consumer behavior and preferences is of utmost importance, and the ability to analyze vast amounts of customer data is vital. MLaaS provides robust machine learning models that can process and analyze this data, offering valuable insights about customers, enabling personalized marketing, and improving target advertising. MLaaS is also used to segment customers based on various characteristics, enabling marketers to tailor their messages and offers to specific groups. It allows for precise targeting, which can significantly enhance the effectiveness of marketing campaigns.
Breakup by End User:
IT and Telecom
Automotive
Healthcare
Aerospace and Defense
Retail
Government
BFSI
Others
BFSI holds the maximum share of the market
A detailed breakup and analysis of the market based on the end user have also been provided in the report. This includes IT and telecom, automotive, healthcare, aerospace and defense, retail, government, BFSI, and others. According to the report, BFSI accounted for the largest market share.
The banking, financial services and insurance (BFSI) sector is relying on machine learning as a service (MLaaS) due to its transformative potential to streamline operations, enhance customer experiences, and bolster security measures. The BFSI sector deals with enormous amounts of data, and MLaaS provides an efficient way to process, analyze, and draw actionable insights from this data, enabling financial institutions to make informed decisions. MLaaS plays a pivotal role in personalizing customer experiences in the BFSI sector. By analyzing customer data, machine learning models can identify individual behaviors and preferences, enabling financial institutions to tailor their services to each customer's unique needs. Furthermore, by leveraging MLaaS, financial institutions can build predictive models that can alert them to potential fraud or risks in real-time, significantly enhancing their security measures and customer trust.
Breakup by Region:
North America
United States
Canada
Asia-Pacific
China
Japan
India
South Korea
Australia
Indonesia
Others
Europe
Germany
France
United Kingdom
Italy
Spain
Russia
Others
Latin America
Brazil
Mexico
Others
Middle East and Africa
North America exhibits a clear dominance, accounting for the largest machine learning as a service (MLaaS) market share
The report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and Others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa.
North America held the biggest market share due to the rising number of businesses that are integrating AI and ML in their operations to achieve efficiency and scalability and minimize the involvement of humans.
Another contributing aspect is the rising generation of data through various online channels. Besides this, the increasing number of cyber threats and data breaches is propelling the growth of the market.
Asia Pacific is estimated to expand further in this domain due to the rising popularity of cloud computing and edge computing. Apart from this, the rising focus on automating various business operations is strengthening the growth of the market.
Competitive Landscape:
Key market players are investing in research operations to improve their machine-learning services. They are also providing cutting-edge machine learning tools and capabilities that are efficient, scalable, and easy to use. Top companies are entering into strategic partnerships with other tech companies, startups, and research institutions to deliver more comprehensive and innovative solutions. They are also focusing on providing training and certification programs to create a skilled workforce. Leading companies are taking initiatives to enhance the security features of their platforms. They are implementing stronger data encryption, enhancing access controls, and using machine learning to detect and respond to security threats.
The report has provided a comprehensive analysis of the competitive landscape in the market. Detailed profiles of all major companies have also been provided. Some of the key players in the market include:
Amazon.com Inc.
Bigml Inc.
Fair Isaac Corporation
Google LLC (Alphabet Inc.)
H2O.ai Inc.
Hewlett Packard Enterprise Development LP
Iflowsoft Solutions Inc.
International Business Machines Corporation
Microsoft Corporation
MonkeyLearn
Sas Institute Inc.
Yottamine Analytics Inc.
Recent Developments:
In March 2023, Amazon Web Services, and Amazon.com Inc. company, announced a collaboration with NVIDIA to build the world's most scalable, on-demand artificial intelligence (AI) infrastructure optimized to train large machine learning models and build generative AI applications.
In September 2018, Fair Isaac Corporation announced the launch of the latest version of FICO(R) Analytics Workbench(TM), which assists data scientists to understand the machine learning models behind AI-derived decisions.
In July 2023, International Business Machines Corporation announced the launch of Watsonx, which comprise three products to help businesses accelerate and scale AI and machine learning.
Key Questions Answered in This Report
- 1. What was the size of the global machine learning as a service (MLaaS) market in 2023?
- 2. What is the expected growth rate of the global machine learning as a service (MLaaS) market during 2024-2032?
- 3. What are the key factors driving the global machine learning as a service (MLaaS) market?
- 4. What has been the impact of COVID-19 on the global machine learning as a service (MLaaS) market?
- 5. What is the breakup of the global machine learning as a service (MLaaS) market based on the component?
- 6. What is the breakup of the global machine learning as a service (MLaaS) market based on organization size?
- 7. What is the breakup of the global machine learning as a service (MLaaS) market based on the application?
- 8. What is the breakup of the global machine learning as a service (MLaaS) market based on the end user?
- 9. What are the key regions in the global machine learning as a service (MLaaS) market?
- 10. Who are the key players/companies in the global machine learning as a service (MLaaS) market?
Table of Contents
1 Preface
2 Scope and Methodology
- 2.1 Objectives of the Study
- 2.2 Stakeholders
- 2.3 Data Sources
- 2.3.1 Primary Sources
- 2.3.2 Secondary Sources
- 2.4 Market Estimation
- 2.4.1 Bottom-Up Approach
- 2.4.2 Top-Down Approach
- 2.5 Forecasting Methodology
3 Executive Summary
4 Introduction
- 4.1 Overview
- 4.2 Key Industry Trends
5 Global Machine Learning as a Service (MLaaS) Market
- 5.1 Market Overview
- 5.2 Market Performance
- 5.3 Impact of COVID-19
- 5.4 Market Forecast
6 Market Breakup by Component
- 6.1 Software
- 6.1.1 Market Trends
- 6.1.2 Market Forecast
- 6.2 Services
- 6.2.1 Market Trends
- 6.2.2 Market Forecast
7 Market Breakup by Organization Size
- 7.1 Small and Medium-sized Enterprises
- 7.1.1 Market Trends
- 7.1.2 Market Forecast
- 7.2 Large Enterprises
- 7.2.1 Market Trends
- 7.2.2 Market Forecast
8 Market Breakup by Application
- 8.1 Marketing and Advertising
- 8.1.1 Market Trends
- 8.1.2 Market Forecast
- 8.2 Fraud Detection and Risk Management
- 8.2.1 Market Trends
- 8.2.2 Market Forecast
- 8.3 Predictive Analytics
- 8.3.1 Market Trends
- 8.3.2 Market Forecast
- 8.4 Augmented and Virtual Reality
- 8.4.1 Market Trends
- 8.4.2 Market Forecast
- 8.5 Natural Language Processing
- 8.5.1 Market Trends
- 8.5.2 Market Forecast
- 8.6 Computer Vision
- 8.6.1 Market Trends
- 8.6.2 Market Forecast
- 8.7 Security and Surveillance
- 8.7.1 Market Trends
- 8.7.2 Market Forecast
- 8.8 Others
- 8.8.1 Market Trends
- 8.8.2 Market Forecast
9 Market Breakup by End User
- 9.1 IT and Telecom
- 9.1.1 Market Trends
- 9.1.2 Market Forecast
- 9.2 Automotive
- 9.2.1 Market Trends
- 9.2.2 Market Forecast
- 9.3 Healthcare
- 9.3.1 Market Trends
- 9.3.2 Market Forecast
- 9.4 Aerospace and Defense
- 9.4.1 Market Trends
- 9.4.2 Market Forecast
- 9.5 Retail
- 9.5.1 Market Trends
- 9.5.2 Market Forecast
- 9.6 Government
- 9.6.1 Market Trends
- 9.6.2 Market Forecast
- 9.7 BFSI
- 9.7.1 Market Trends
- 9.7.2 Market Forecast
- 9.8 Others
- 9.8.1 Market Trends
- 9.8.2 Market Forecast
10 Market Breakup by Region
- 10.1 North America
- 10.1.1 United States
- 10.1.1.1 Market Trends
- 10.1.1.2 Market Forecast
- 10.1.2 Canada
- 10.1.2.1 Market Trends
- 10.1.2.2 Market Forecast
- 10.1.1 United States
- 10.2 Asia-Pacific
- 10.2.1 China
- 10.2.1.1 Market Trends
- 10.2.1.2 Market Forecast
- 10.2.2 Japan
- 10.2.2.1 Market Trends
- 10.2.2.2 Market Forecast
- 10.2.3 India
- 10.2.3.1 Market Trends
- 10.2.3.2 Market Forecast
- 10.2.4 South Korea
- 10.2.4.1 Market Trends
- 10.2.4.2 Market Forecast
- 10.2.5 Australia
- 10.2.5.1 Market Trends
- 10.2.5.2 Market Forecast
- 10.2.6 Indonesia
- 10.2.6.1 Market Trends
- 10.2.6.2 Market Forecast
- 10.2.7 Others
- 10.2.7.1 Market Trends
- 10.2.7.2 Market Forecast
- 10.2.1 China
- 10.3 Europe
- 10.3.1 Germany
- 10.3.1.1 Market Trends
- 10.3.1.2 Market Forecast
- 10.3.2 France
- 10.3.2.1 Market Trends
- 10.3.2.2 Market Forecast
- 10.3.3 United Kingdom
- 10.3.3.1 Market Trends
- 10.3.3.2 Market Forecast
- 10.3.4 Italy
- 10.3.4.1 Market Trends
- 10.3.4.2 Market Forecast
- 10.3.5 Spain
- 10.3.5.1 Market Trends
- 10.3.5.2 Market Forecast
- 10.3.6 Russia
- 10.3.6.1 Market Trends
- 10.3.6.2 Market Forecast
- 10.3.7 Others
- 10.3.7.1 Market Trends
- 10.3.7.2 Market Forecast
- 10.3.1 Germany
- 10.4 Latin America
- 10.4.1 Brazil
- 10.4.1.1 Market Trends
- 10.4.1.2 Market Forecast
- 10.4.2 Mexico
- 10.4.2.1 Market Trends
- 10.4.2.2 Market Forecast
- 10.4.3 Others
- 10.4.3.1 Market Trends
- 10.4.3.2 Market Forecast
- 10.4.1 Brazil
- 10.5 Middle East and Africa
- 10.5.1 Market Trends
- 10.5.2 Market Breakup by Country
- 10.5.3 Market Forecast
11 SWOT Analysis
- 11.1 Overview
- 11.2 Strengths
- 11.3 Weaknesses
- 11.4 Opportunities
- 11.5 Threats
12 Value Chain Analysis
13 Porters Five Forces Analysis
- 13.1 Overview
- 13.2 Bargaining Power of Buyers
- 13.3 Bargaining Power of Suppliers
- 13.4 Degree of Competition
- 13.5 Threat of New Entrants
- 13.6 Threat of Substitutes
14 Price Analysis
15 Competitive Landscape
- 15.1 Market Structure
- 15.2 Key Players
- 15.3 Profiles of Key Players
- 15.3.1 Amazon.com Inc.
- 15.3.1.1 Company Overview
- 15.3.1.2 Product Portfolio
- 15.3.1.3 Financials
- 15.3.1.4 SWOT Analysis
- 15.3.2 Bigml Inc.
- 15.3.2.1 Company Overview
- 15.3.2.2 Product Portfolio
- 15.3.3 Fair Isaac Corporation
- 15.3.3.1 Company Overview
- 15.3.3.2 Product Portfolio
- 15.3.3.3 Financials
- 15.3.3.4 SWOT Analysis
- 15.3.4 Google LLC (Alphabet Inc.)
- 15.3.4.1 Company Overview
- 15.3.4.2 Product Portfolio
- 15.3.4.3 SWOT Analysis
- 15.3.5 H2O.ai Inc.
- 15.3.5.1 Company Overview
- 15.3.5.2 Product Portfolio
- 15.3.6 Hewlett Packard Enterprise Development LP
- 15.3.6.1 Company Overview
- 15.3.6.2 Product Portfolio
- 15.3.6.3 Financials
- 15.3.6.4 SWOT Analysis
- 15.3.7 Iflowsoft Solutions Inc.
- 15.3.7.1 Company Overview
- 15.3.7.2 Product Portfolio
- 15.3.8 International Business Machines Corporation
- 15.3.8.1 Company Overview
- 15.3.8.2 Product Portfolio
- 15.3.8.3 Financials
- 15.3.8.4 SWOT Analysis
- 15.3.9 Microsoft Corporation
- 15.3.9.1 Company Overview
- 15.3.9.2 Product Portfolio
- 15.3.9.3 Financials
- 15.3.9.4 SWOT Analysis
- 15.3.10 MonkeyLearn
- 15.3.10.1 Company Overview
- 15.3.10.2 Product Portfolio
- 15.3.11 Sas Institute Inc.
- 15.3.11.1 Company Overview
- 15.3.11.2 Product Portfolio
- 15.3.11.3 SWOT Analysis
- 15.3.12 Yottamine Analytics Inc.
- 15.3.12.1 Company Overview
- 15.3.12.2 Product Portfolio
- 15.3.1 Amazon.com Inc.
List of Figures
- Figure 1: Global: Machine Learning as a Service Market: Major Drivers and Challenges
- Figure 2: Global: Machine Learning as a Service Market: Sales Value (in Billion US$), 2018-2023
- Figure 3: Global: Machine Learning as a Service Market Forecast: Sales Value (in Billion US$), 2024-2032
- Figure 4: Global: Machine Learning as a Service Market: Breakup by Component (in %), 2023
- Figure 5: Global: Machine Learning as a Service Market: Breakup by Organization Size (in %), 2023
- Figure 6: Global: Machine Learning as a Service Market: Breakup by Application (in %), 2023
- Figure 7: Global: Machine Learning as a Service Market: Breakup by End User (in %), 2023
- Figure 8: Global: Machine Learning as a Service Market: Breakup by Region (in %), 2023
- Figure 9: Global: Machine Learning as a Service (Software) Market: Sales Value (in Million US$), 2018 & 2023
- Figure 10: Global: Machine Learning as a Service (Software) Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 11: Global: Machine Learning as a Service (Services) Market: Sales Value (in Million US$), 2018 & 2023
- Figure 12: Global: Machine Learning as a Service (Services) Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 13: Global: Machine Learning as a Service (Small and Medium Size Enterprises) Market: Sales Value (in Million US$), 2018 & 2023
- Figure 14: Global: Machine Learning as a Service (Small and Medium Size Enterprises) Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 15: Global: Machine Learning as a Service (Large Enterprises) Market: Sales Value (in Million US$), 2018 & 2023
- Figure 16: Global: Machine Learning as a Service (Large Enterprises) Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 17: Global: Machine Learning as a Service (Marketing and Advertising) Market: Sales Value (in Million US$), 2018 & 2023
- Figure 18: Global: Machine Learning as a Service (Marketing and Advertising) Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 19: Global: Machine Learning as a Service (Fraud Detection and Risk Management) Market: Sales Value (in Million US$), 2018 & 2023
- Figure 20: Global: Machine Learning as a Service (Fraud Detection and Risk Management) Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 21: Global: Machine Learning as a Service (Predictive Analytics) Market: Sales Value (in Million US$), 2018 & 2023
- Figure 22: Global: Machine Learning as a Service (Predictive Analytics) Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 23: Global: Machine Learning as a Service (Augmented and Virtual Reality) Market: Sales Value (in Million US$), 2018 & 2023
- Figure 24: Global: Machine Learning as a Service (Augmented and Virtual Reality) Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 25: Global: Machine Learning as a Service (Natural Language Processing) Market: Sales Value (in Million US$), 2018 & 2023
- Figure 26: Global: Machine Learning as a Service (Natural Language Processing) Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 27: Global: Machine Learning as a Service (Computer Vision) Market: Sales Value (in Million US$), 2018 & 2023
- Figure 28: Global: Machine Learning as a Service (Computer Vision) Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 29: Global: Machine Learning as a Service (Security and Surveillance) Market: Sales Value (in Million US$), 2018 & 2023
- Figure 30: Global: Machine Learning as a Service (Security and Surveillance) Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 31: Global: Machine Learning as a Service (Other Applications) Market: Sales Value (in Million US$), 2018 & 2023
- Figure 32: Global: Machine Learning as a Service (Other Applications) Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 33: Global: Machine Learning as a Service (IT and Telecom) Market: Sales Value (in Million US$), 2018 & 2023
- Figure 34: Global: Machine Learning as a Service (IT and Telecom) Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 35: Global: Machine Learning as a Service (Automotive) Market: Sales Value (in Million US$), 2018 & 2023
- Figure 36: Global: Machine Learning as a Service (Automotive) Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 37: Global: Machine Learning as a Service (Healthcare) Market: Sales Value (in Million US$), 2018 & 2023
- Figure 38: Global: Machine Learning as a Service (Healthcare) Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 39: Global: Machine Learning as a Service (Aerospace and Defense) Market: Sales Value (in Million US$), 2018 & 2023
- Figure 40: Global: Machine Learning as a Service (Aerospace and Defense) Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 41: Global: Machine Learning as a Service (Retail) Market: Sales Value (in Million US$), 2018 & 2023
- Figure 42: Global: Machine Learning as a Service (Retail) Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 43: Global: Machine Learning as a Service (Government) Market: Sales Value (in Million US$), 2018 & 2023
- Figure 44: Global: Machine Learning as a Service (Government) Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 45: Global: Machine Learning as a Service (BFSI) Market: Sales Value (in Million US$), 2018 & 2023
- Figure 46: Global: Machine Learning as a Service (BFSI) Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 47: Global: Machine Learning as a Service (Other End Users) Market: Sales Value (in Million US$), 2018 & 2023
- Figure 48: Global: Machine Learning as a Service (Other End Users) Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 49: North America: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
- Figure 50: North America: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 51: United States: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
- Figure 52: United States: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 53: Canada: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
- Figure 54: Canada: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 55: Asia-Pacific: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
- Figure 56: Asia-Pacific: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 57: China: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
- Figure 58: China: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 59: Japan: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
- Figure 60: Japan: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 61: India: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
- Figure 62: India: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 63: South Korea: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
- Figure 64: South Korea: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 65: Australia: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
- Figure 66: Australia: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 67: Indonesia: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
- Figure 68: Indonesia: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 69: Others: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
- Figure 70: Others: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 71: Europe: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
- Figure 72: Europe: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 73: Germany: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
- Figure 74: Germany: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 75: France: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
- Figure 76: France: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 77: United Kingdom: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
- Figure 78: United Kingdom: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 79: Italy: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
- Figure 80: Italy: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 81: Spain: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
- Figure 82: Spain: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 83: Russia: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
- Figure 84: Russia: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 85: Others: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
- Figure 86: Others: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 87: Latin America: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
- Figure 88: Latin America: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 89: Brazil: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
- Figure 90: Brazil: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 91: Mexico: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
- Figure 92: Mexico: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 93: Others: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
- Figure 94: Others: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 95: Middle East and Africa: Machine Learning as a Service Market: Sales Value (in Million US$), 2018 & 2023
- Figure 96: Middle East and Africa: Machine Learning as a Service Market: Breakup by Country (in %), 2023
- Figure 97: Middle East and Africa: Machine Learning as a Service Market Forecast: Sales Value (in Million US$), 2024-2032
- Figure 98: Global: Machine Learning as a Service Industry: SWOT Analysis
- Figure 99: Global: Machine Learning as a Service Industry: Value Chain Analysis
- Figure 100: Global: Machine Learning as a Service Industry: Porter's Five Forces Analysis
List of Tables
- Table 1: Global: Machine Learning as a Service Market: Key Industry Highlights, 2023 and 2032
- Table 2: Global: Machine Learning as a Service Market Forecast: Breakup by Component (in Million US$), 2024-2032
- Table 3: Global: Machine Learning as a Service Market Forecast: Breakup by Organization Size (in Million US$), 2024-2032
- Table 4: Global: Machine Learning as a Service Market Forecast: Breakup by Application (in Million US$), 2024-2032
- Table 5: Global: Machine Learning as a Service Market Forecast: Breakup by End User (in Million US$), 2024-2032
- Table 6: Global: Machine Learning as a Service Market Forecast: Breakup by Region (in Million US$), 2024-2032
- Table 7: Global: Machine Learning as a Service Market: Competitive Structure
- Table 8: Global: Machine Learning as a Service Market: Key Players
