Machine Learning as a Service Market - Global Industry Size, Share, Trends, Opportunity, and Forecast Segmented by Application (Marketing and Advertisement, Predictive Maintenance, Automated Network Management, Fraud Detection, and Risk Analytics), Organization Size (Small and Medium Enterprises, Large Enterprises), End User (IT and Telecom, Automotive, Healthcare, Aerospace and Defense, Retail, Government, BFSI), By Region, and By Competition, 2020-2030F
The Global Machine Learning as a Service Market will grow from USD 73.11 Billion in 2024 to USD 460.77 Billion by 2030 at a 35.91% CAGR. Machine Learning as a Service (MLaaS) encompasses the delivery of machine learning tools and comprehensive infrastructure as cloud-based services, empowering organizations to readily access and deploy sophisticated machine learning models without requiring extensive internal expertise or substantial capital outlay for dedicated hardware.
Key Market Drivers
The widespread adoption of cloud computing serves as a foundational accelerant for the Machine Learning as a Service market. Cloud platforms provide the scalable, on-demand infrastructure essential for deploying and managing complex machine learning models, effectively lowering the barrier to entry for businesses of all sizes. This widespread embrace is evident in significant financial growth within major cloud providers.
Key Market Challenges
Stringent data privacy and security mandates represent a considerable challenge impeding the growth of the Global Machine Learning as a Service (MLaaS) market. Organizations face increasing scrutiny and inherent risks when processing sensitive datasets on third-party cloud infrastructure, which forms the basis of MLaaS offerings. This concern leads to hesitation in widespread adoption, especially within sectors governed by strict regulations, as businesses must navigate complex and evolving global data protection laws and compliance requirements.
Key Market Trends
The increasing integration of generative artificial intelligence (AI) into Machine Learning as a Service (MLaaS) platforms represents a pivotal trend, significantly enhancing the capabilities and accessibility of advanced AI. MLaaS providers are incorporating generative AI models to enable functionalities such as automated content creation, code generation, and complex data synthesis, moving beyond traditional predictive analytics. This expansion facilitates a broader range of applications across various business functions, allowing organizations to develop innovative solutions more efficiently.
Key Market Players
In this report, the Global Machine Learning as a Service Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Company Profiles: Detailed analysis of the major companies presents in the Global Machine Learning as a Service Market.
Available Customizations:
Global Machine Learning as a Service Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:
Company Information
Key Market Drivers
The widespread adoption of cloud computing serves as a foundational accelerant for the Machine Learning as a Service market. Cloud platforms provide the scalable, on-demand infrastructure essential for deploying and managing complex machine learning models, effectively lowering the barrier to entry for businesses of all sizes. This widespread embrace is evident in significant financial growth within major cloud providers.
Key Market Challenges
Stringent data privacy and security mandates represent a considerable challenge impeding the growth of the Global Machine Learning as a Service (MLaaS) market. Organizations face increasing scrutiny and inherent risks when processing sensitive datasets on third-party cloud infrastructure, which forms the basis of MLaaS offerings. This concern leads to hesitation in widespread adoption, especially within sectors governed by strict regulations, as businesses must navigate complex and evolving global data protection laws and compliance requirements.
Key Market Trends
The increasing integration of generative artificial intelligence (AI) into Machine Learning as a Service (MLaaS) platforms represents a pivotal trend, significantly enhancing the capabilities and accessibility of advanced AI. MLaaS providers are incorporating generative AI models to enable functionalities such as automated content creation, code generation, and complex data synthesis, moving beyond traditional predictive analytics. This expansion facilitates a broader range of applications across various business functions, allowing organizations to develop innovative solutions more efficiently.
Key Market Players
- Microsoft Corporation
- IBM Corporation
- Google LLC
- SAS Institute Inc.
- Fair Isaac Corporation (FICO)
- Hewlett Packard Enterprise Company
- Yottamine Analytics Inc.
- Amazon Web Services Inc.
- BigML Inc.
- Iflowsoft Solutions Inc.
In this report, the Global Machine Learning as a Service Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
- Machine Learning as a Service Market, By Application:
- Marketing and Advertisement
- Predictive Maintenance
- Automated Network Management
- Fraud Detection
- Risk Analytics
- Machine Learning as a Service Market, By Organization Size:
- Small and Medium Enterprises
- Large Enterprises
- Machine Learning as a Service Market, By End User:
- IT and Telecom
- Automotive
- Healthcare
- Aerospace and Defense
- Retail
- Government
- BFSI
- Machine Learning as a Service Market, By Region:
- North America
- United States
- Canada
- Mexico
- Europe
- France
- United Kingdom
- Italy
- Germany
- Spain
- Asia Pacific
- China
- India
- Japan
- Australia
- South Korea
- South America
- Brazil
- Argentina
- Colombia
- Middle East & Africa
- South Africa
- Saudi Arabia
- UAE
Company Profiles: Detailed analysis of the major companies presents in the Global Machine Learning as a Service Market.
Available Customizations:
Global Machine Learning as a Service Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:
Company Information
- Detailed analysis and profiling of additional market players (up to five).
1. PRODUCT OVERVIEW
1.1. Market Definition
1.2. Scope of the Market
1.2.1. Markets Covered
1.2.2. Years Considered for Study
1.2.3. Key Market Segmentations
2. RESEARCH METHODOLOGY
2.1. Objective of the Study
2.2. Baseline Methodology
2.3. Key Industry Partners
2.4. Major Association and Secondary Sources
2.5. Forecasting Methodology
2.6. Data Triangulation & Validation
2.7. Assumptions and Limitations
3. EXECUTIVE SUMMARY
3.1. Overview of the Market
3.2. Overview of Key Market Segmentations
3.3. Overview of Key Market Players
3.4. Overview of Key Regions/Countries
3.5. Overview of Market Drivers, Challenges, Trends
4. VOICE OF CUSTOMER
5. GLOBAL MACHINE LEARNING AS A SERVICE MARKET OUTLOOK
5.1. Market Size & Forecast
5.1.1. By Value
5.2. Market Share & Forecast
5.2.1. By Application (Marketing and Advertisement, Predictive Maintenance, Automated Network Management, Fraud Detection, Risk Analytics)
5.2.2. By Organization Size (Small and Medium Enterprises, Large Enterprises)
5.2.3. By End User (IT and Telecom, Automotive, Healthcare, Aerospace and Defense, Retail, Government, BFSI)
5.2.4. By Region
5.2.5. By Company (2024)
5.3. Market Map
6. NORTH AMERICA MACHINE LEARNING AS A SERVICE MARKET OUTLOOK
6.1. Market Size & Forecast
6.1.1. By Value
6.2. Market Share & Forecast
6.2.1. By Application
6.2.2. By Organization Size
6.2.3. By End User
6.2.4. By Country
6.3. North America: Country Analysis
6.3.1. United States Machine Learning as a Service Market Outlook
6.3.1.1. Market Size & Forecast
6.3.1.1.1. By Value
6.3.1.2. Market Share & Forecast
6.3.1.2.1. By Application
6.3.1.2.2. By Organization Size
6.3.1.2.3. By End User
6.3.2. Canada Machine Learning as a Service Market Outlook
6.3.2.1. Market Size & Forecast
6.3.2.1.1. By Value
6.3.2.2. Market Share & Forecast
6.3.2.2.1. By Application
6.3.2.2.2. By Organization Size
6.3.2.2.3. By End User
6.3.3. Mexico Machine Learning as a Service Market Outlook
6.3.3.1. Market Size & Forecast
6.3.3.1.1. By Value
6.3.3.2. Market Share & Forecast
6.3.3.2.1. By Application
6.3.3.2.2. By Organization Size
6.3.3.2.3. By End User
7. EUROPE MACHINE LEARNING AS A SERVICE MARKET OUTLOOK
7.1. Market Size & Forecast
7.1.1. By Value
7.2. Market Share & Forecast
7.2.1. By Application
7.2.2. By Organization Size
7.2.3. By End User
7.2.4. By Country
7.3. Europe: Country Analysis
7.3.1. Germany Machine Learning as a Service Market Outlook
7.3.1.1. Market Size & Forecast
7.3.1.1.1. By Value
7.3.1.2. Market Share & Forecast
7.3.1.2.1. By Application
7.3.1.2.2. By Organization Size
7.3.1.2.3. By End User
7.3.2. France Machine Learning as a Service Market Outlook
7.3.2.1. Market Size & Forecast
7.3.2.1.1. By Value
7.3.2.2. Market Share & Forecast
7.3.2.2.1. By Application
7.3.2.2.2. By Organization Size
7.3.2.2.3. By End User
7.3.3. United Kingdom Machine Learning as a Service Market Outlook
7.3.3.1. Market Size & Forecast
7.3.3.1.1. By Value
7.3.3.2. Market Share & Forecast
7.3.3.2.1. By Application
7.3.3.2.2. By Organization Size
7.3.3.2.3. By End User
7.3.4. Italy Machine Learning as a Service Market Outlook
7.3.4.1. Market Size & Forecast
7.3.4.1.1. By Value
7.3.4.2. Market Share & Forecast
7.3.4.2.1. By Application
7.3.4.2.2. By Organization Size
7.3.4.2.3. By End User
7.3.5. Spain Machine Learning as a Service Market Outlook
7.3.5.1. Market Size & Forecast
7.3.5.1.1. By Value
7.3.5.2. Market Share & Forecast
7.3.5.2.1. By Application
7.3.5.2.2. By Organization Size
7.3.5.2.3. By End User
8. ASIA PACIFIC MACHINE LEARNING AS A SERVICE MARKET OUTLOOK
8.1. Market Size & Forecast
8.1.1. By Value
8.2. Market Share & Forecast
8.2.1. By Application
8.2.2. By Organization Size
8.2.3. By End User
8.2.4. By Country
8.3. Asia Pacific: Country Analysis
8.3.1. China Machine Learning as a Service Market Outlook
8.3.1.1. Market Size & Forecast
8.3.1.1.1. By Value
8.3.1.2. Market Share & Forecast
8.3.1.2.1. By Application
8.3.1.2.2. By Organization Size
8.3.1.2.3. By End User
8.3.2. India Machine Learning as a Service Market Outlook
8.3.2.1. Market Size & Forecast
8.3.2.1.1. By Value
8.3.2.2. Market Share & Forecast
8.3.2.2.1. By Application
8.3.2.2.2. By Organization Size
8.3.2.2.3. By End User
8.3.3. Japan Machine Learning as a Service Market Outlook
8.3.3.1. Market Size & Forecast
8.3.3.1.1. By Value
8.3.3.2. Market Share & Forecast
8.3.3.2.1. By Application
8.3.3.2.2. By Organization Size
8.3.3.2.3. By End User
8.3.4. South Korea Machine Learning as a Service Market Outlook
8.3.4.1. Market Size & Forecast
8.3.4.1.1. By Value
8.3.4.2. Market Share & Forecast
8.3.4.2.1. By Application
8.3.4.2.2. By Organization Size
8.3.4.2.3. By End User
8.3.5. Australia Machine Learning as a Service Market Outlook
8.3.5.1. Market Size & Forecast
8.3.5.1.1. By Value
8.3.5.2. Market Share & Forecast
8.3.5.2.1. By Application
8.3.5.2.2. By Organization Size
8.3.5.2.3. By End User
9. MIDDLE EAST & AFRICA MACHINE LEARNING AS A SERVICE MARKET OUTLOOK
9.1. Market Size & Forecast
9.1.1. By Value
9.2. Market Share & Forecast
9.2.1. By Application
9.2.2. By Organization Size
9.2.3. By End User
9.2.4. By Country
9.3. Middle East & Africa: Country Analysis
9.3.1. Saudi Arabia Machine Learning as a Service Market Outlook
9.3.1.1. Market Size & Forecast
9.3.1.1.1. By Value
9.3.1.2. Market Share & Forecast
9.3.1.2.1. By Application
9.3.1.2.2. By Organization Size
9.3.1.2.3. By End User
9.3.2. UAE Machine Learning as a Service Market Outlook
9.3.2.1. Market Size & Forecast
9.3.2.1.1. By Value
9.3.2.2. Market Share & Forecast
9.3.2.2.1. By Application
9.3.2.2.2. By Organization Size
9.3.2.2.3. By End User
9.3.3. South Africa Machine Learning as a Service Market Outlook
9.3.3.1. Market Size & Forecast
9.3.3.1.1. By Value
9.3.3.2. Market Share & Forecast
9.3.3.2.1. By Application
9.3.3.2.2. By Organization Size
9.3.3.2.3. By End User
10. SOUTH AMERICA MACHINE LEARNING AS A SERVICE MARKET OUTLOOK
10.1. Market Size & Forecast
10.1.1. By Value
10.2. Market Share & Forecast
10.2.1. By Application
10.2.2. By Organization Size
10.2.3. By End User
10.2.4. By Country
10.3. South America: Country Analysis
10.3.1. Brazil Machine Learning as a Service Market Outlook
10.3.1.1. Market Size & Forecast
10.3.1.1.1. By Value
10.3.1.2. Market Share & Forecast
10.3.1.2.1. By Application
10.3.1.2.2. By Organization Size
10.3.1.2.3. By End User
10.3.2. Colombia Machine Learning as a Service Market Outlook
10.3.2.1. Market Size & Forecast
10.3.2.1.1. By Value
10.3.2.2. Market Share & Forecast
10.3.2.2.1. By Application
10.3.2.2.2. By Organization Size
10.3.2.2.3. By End User
10.3.3. Argentina Machine Learning as a Service Market Outlook
10.3.3.1. Market Size & Forecast
10.3.3.1.1. By Value
10.3.3.2. Market Share & Forecast
10.3.3.2.1. By Application
10.3.3.2.2. By Organization Size
10.3.3.2.3. By End User
11. MARKET DYNAMICS
11.1. Drivers
11.2. Challenges
12. MARKET TRENDS & DEVELOPMENTS
12.1. Merger & Acquisition (If Any)
12.2. Product Launches (If Any)
12.3. Recent Developments
13. GLOBAL MACHINE LEARNING AS A SERVICE MARKET: SWOT ANALYSIS
14. PORTER'S FIVE FORCES ANALYSIS
14.1. Competition in the Industry
14.2. Potential of New Entrants
14.3. Power of Suppliers
14.4. Power of Customers
14.5. Threat of Substitute Products
15. COMPETITIVE LANDSCAPE
15.1. Microsoft Corporation
15.1.1. Business Overview
15.1.2. Products & Services
15.1.3. Recent Developments
15.1.4. Key Personnel
15.1.5. SWOT Analysis
15.2. IBM Corporation
15.3. Google LLC
15.4. SAS Institute Inc.
15.5. Fair Isaac Corporation (FICO)
15.6. Hewlett Packard Enterprise Company
15.7. Yottamine Analytics Inc.
15.8. Amazon Web Services Inc.
15.9. BigML Inc.
15.10. Iflowsoft Solutions Inc.
16. STRATEGIC RECOMMENDATIONS
17. ABOUT US & DISCLAIMER
1.1. Market Definition
1.2. Scope of the Market
1.2.1. Markets Covered
1.2.2. Years Considered for Study
1.2.3. Key Market Segmentations
2. RESEARCH METHODOLOGY
2.1. Objective of the Study
2.2. Baseline Methodology
2.3. Key Industry Partners
2.4. Major Association and Secondary Sources
2.5. Forecasting Methodology
2.6. Data Triangulation & Validation
2.7. Assumptions and Limitations
3. EXECUTIVE SUMMARY
3.1. Overview of the Market
3.2. Overview of Key Market Segmentations
3.3. Overview of Key Market Players
3.4. Overview of Key Regions/Countries
3.5. Overview of Market Drivers, Challenges, Trends
4. VOICE OF CUSTOMER
5. GLOBAL MACHINE LEARNING AS A SERVICE MARKET OUTLOOK
5.1. Market Size & Forecast
5.1.1. By Value
5.2. Market Share & Forecast
5.2.1. By Application (Marketing and Advertisement, Predictive Maintenance, Automated Network Management, Fraud Detection, Risk Analytics)
5.2.2. By Organization Size (Small and Medium Enterprises, Large Enterprises)
5.2.3. By End User (IT and Telecom, Automotive, Healthcare, Aerospace and Defense, Retail, Government, BFSI)
5.2.4. By Region
5.2.5. By Company (2024)
5.3. Market Map
6. NORTH AMERICA MACHINE LEARNING AS A SERVICE MARKET OUTLOOK
6.1. Market Size & Forecast
6.1.1. By Value
6.2. Market Share & Forecast
6.2.1. By Application
6.2.2. By Organization Size
6.2.3. By End User
6.2.4. By Country
6.3. North America: Country Analysis
6.3.1. United States Machine Learning as a Service Market Outlook
6.3.1.1. Market Size & Forecast
6.3.1.1.1. By Value
6.3.1.2. Market Share & Forecast
6.3.1.2.1. By Application
6.3.1.2.2. By Organization Size
6.3.1.2.3. By End User
6.3.2. Canada Machine Learning as a Service Market Outlook
6.3.2.1. Market Size & Forecast
6.3.2.1.1. By Value
6.3.2.2. Market Share & Forecast
6.3.2.2.1. By Application
6.3.2.2.2. By Organization Size
6.3.2.2.3. By End User
6.3.3. Mexico Machine Learning as a Service Market Outlook
6.3.3.1. Market Size & Forecast
6.3.3.1.1. By Value
6.3.3.2. Market Share & Forecast
6.3.3.2.1. By Application
6.3.3.2.2. By Organization Size
6.3.3.2.3. By End User
7. EUROPE MACHINE LEARNING AS A SERVICE MARKET OUTLOOK
7.1. Market Size & Forecast
7.1.1. By Value
7.2. Market Share & Forecast
7.2.1. By Application
7.2.2. By Organization Size
7.2.3. By End User
7.2.4. By Country
7.3. Europe: Country Analysis
7.3.1. Germany Machine Learning as a Service Market Outlook
7.3.1.1. Market Size & Forecast
7.3.1.1.1. By Value
7.3.1.2. Market Share & Forecast
7.3.1.2.1. By Application
7.3.1.2.2. By Organization Size
7.3.1.2.3. By End User
7.3.2. France Machine Learning as a Service Market Outlook
7.3.2.1. Market Size & Forecast
7.3.2.1.1. By Value
7.3.2.2. Market Share & Forecast
7.3.2.2.1. By Application
7.3.2.2.2. By Organization Size
7.3.2.2.3. By End User
7.3.3. United Kingdom Machine Learning as a Service Market Outlook
7.3.3.1. Market Size & Forecast
7.3.3.1.1. By Value
7.3.3.2. Market Share & Forecast
7.3.3.2.1. By Application
7.3.3.2.2. By Organization Size
7.3.3.2.3. By End User
7.3.4. Italy Machine Learning as a Service Market Outlook
7.3.4.1. Market Size & Forecast
7.3.4.1.1. By Value
7.3.4.2. Market Share & Forecast
7.3.4.2.1. By Application
7.3.4.2.2. By Organization Size
7.3.4.2.3. By End User
7.3.5. Spain Machine Learning as a Service Market Outlook
7.3.5.1. Market Size & Forecast
7.3.5.1.1. By Value
7.3.5.2. Market Share & Forecast
7.3.5.2.1. By Application
7.3.5.2.2. By Organization Size
7.3.5.2.3. By End User
8. ASIA PACIFIC MACHINE LEARNING AS A SERVICE MARKET OUTLOOK
8.1. Market Size & Forecast
8.1.1. By Value
8.2. Market Share & Forecast
8.2.1. By Application
8.2.2. By Organization Size
8.2.3. By End User
8.2.4. By Country
8.3. Asia Pacific: Country Analysis
8.3.1. China Machine Learning as a Service Market Outlook
8.3.1.1. Market Size & Forecast
8.3.1.1.1. By Value
8.3.1.2. Market Share & Forecast
8.3.1.2.1. By Application
8.3.1.2.2. By Organization Size
8.3.1.2.3. By End User
8.3.2. India Machine Learning as a Service Market Outlook
8.3.2.1. Market Size & Forecast
8.3.2.1.1. By Value
8.3.2.2. Market Share & Forecast
8.3.2.2.1. By Application
8.3.2.2.2. By Organization Size
8.3.2.2.3. By End User
8.3.3. Japan Machine Learning as a Service Market Outlook
8.3.3.1. Market Size & Forecast
8.3.3.1.1. By Value
8.3.3.2. Market Share & Forecast
8.3.3.2.1. By Application
8.3.3.2.2. By Organization Size
8.3.3.2.3. By End User
8.3.4. South Korea Machine Learning as a Service Market Outlook
8.3.4.1. Market Size & Forecast
8.3.4.1.1. By Value
8.3.4.2. Market Share & Forecast
8.3.4.2.1. By Application
8.3.4.2.2. By Organization Size
8.3.4.2.3. By End User
8.3.5. Australia Machine Learning as a Service Market Outlook
8.3.5.1. Market Size & Forecast
8.3.5.1.1. By Value
8.3.5.2. Market Share & Forecast
8.3.5.2.1. By Application
8.3.5.2.2. By Organization Size
8.3.5.2.3. By End User
9. MIDDLE EAST & AFRICA MACHINE LEARNING AS A SERVICE MARKET OUTLOOK
9.1. Market Size & Forecast
9.1.1. By Value
9.2. Market Share & Forecast
9.2.1. By Application
9.2.2. By Organization Size
9.2.3. By End User
9.2.4. By Country
9.3. Middle East & Africa: Country Analysis
9.3.1. Saudi Arabia Machine Learning as a Service Market Outlook
9.3.1.1. Market Size & Forecast
9.3.1.1.1. By Value
9.3.1.2. Market Share & Forecast
9.3.1.2.1. By Application
9.3.1.2.2. By Organization Size
9.3.1.2.3. By End User
9.3.2. UAE Machine Learning as a Service Market Outlook
9.3.2.1. Market Size & Forecast
9.3.2.1.1. By Value
9.3.2.2. Market Share & Forecast
9.3.2.2.1. By Application
9.3.2.2.2. By Organization Size
9.3.2.2.3. By End User
9.3.3. South Africa Machine Learning as a Service Market Outlook
9.3.3.1. Market Size & Forecast
9.3.3.1.1. By Value
9.3.3.2. Market Share & Forecast
9.3.3.2.1. By Application
9.3.3.2.2. By Organization Size
9.3.3.2.3. By End User
10. SOUTH AMERICA MACHINE LEARNING AS A SERVICE MARKET OUTLOOK
10.1. Market Size & Forecast
10.1.1. By Value
10.2. Market Share & Forecast
10.2.1. By Application
10.2.2. By Organization Size
10.2.3. By End User
10.2.4. By Country
10.3. South America: Country Analysis
10.3.1. Brazil Machine Learning as a Service Market Outlook
10.3.1.1. Market Size & Forecast
10.3.1.1.1. By Value
10.3.1.2. Market Share & Forecast
10.3.1.2.1. By Application
10.3.1.2.2. By Organization Size
10.3.1.2.3. By End User
10.3.2. Colombia Machine Learning as a Service Market Outlook
10.3.2.1. Market Size & Forecast
10.3.2.1.1. By Value
10.3.2.2. Market Share & Forecast
10.3.2.2.1. By Application
10.3.2.2.2. By Organization Size
10.3.2.2.3. By End User
10.3.3. Argentina Machine Learning as a Service Market Outlook
10.3.3.1. Market Size & Forecast
10.3.3.1.1. By Value
10.3.3.2. Market Share & Forecast
10.3.3.2.1. By Application
10.3.3.2.2. By Organization Size
10.3.3.2.3. By End User
11. MARKET DYNAMICS
11.1. Drivers
11.2. Challenges
12. MARKET TRENDS & DEVELOPMENTS
12.1. Merger & Acquisition (If Any)
12.2. Product Launches (If Any)
12.3. Recent Developments
13. GLOBAL MACHINE LEARNING AS A SERVICE MARKET: SWOT ANALYSIS
14. PORTER'S FIVE FORCES ANALYSIS
14.1. Competition in the Industry
14.2. Potential of New Entrants
14.3. Power of Suppliers
14.4. Power of Customers
14.5. Threat of Substitute Products
15. COMPETITIVE LANDSCAPE
15.1. Microsoft Corporation
15.1.1. Business Overview
15.1.2. Products & Services
15.1.3. Recent Developments
15.1.4. Key Personnel
15.1.5. SWOT Analysis
15.2. IBM Corporation
15.3. Google LLC
15.4. SAS Institute Inc.
15.5. Fair Isaac Corporation (FICO)
15.6. Hewlett Packard Enterprise Company
15.7. Yottamine Analytics Inc.
15.8. Amazon Web Services Inc.
15.9. BigML Inc.
15.10. Iflowsoft Solutions Inc.
16. STRATEGIC RECOMMENDATIONS
17. ABOUT US & DISCLAIMER
