Machine Learning as a Service (MLaaS) Market: Global Industry Analysis and Forecast (2022-2029)


Machine Learning as a Service (MLaaS) Market size is expected to reach US$ 40.76 Bn by 2029, at a CAGR of 34.76% during the forecast period.

Machine Learning as a Service (MLaaS) Market Definition:

Machine learning as a service (MLaaS) is an array of services that offer ML tools as part of cloud computing services. MLaaS helps clients profit from machine learning without the cognate cost, time and risk of establishing an in-house internal machine learning team.The report study has analyzed revenue impact of covid-19 pandemic on the sales revenue of market leaders, market followers and disrupters in the report and same is reflected in our analysis.

Machine Learning Service Providers: Machine Learning as a Service (MLaaS) MarketTo know about the Research Methodology :- Request Free Sample Report

Machine Learning as a Service (MLaaS) Market Dynamics:

The scope of the report includes a detailed study of global and regional markets for Global Machine Learning as a Service (MLaaS) Market with the analysis given with variations in the growth of the industry in each regions. Large and SMEs are focusing on customer experience management to keep a complete and robust relationship with their customers by using customer data. So, ML needs to be integrated into enterprise applications to control and make optimal use of this data. Retail enterprises are shifting their focus to customer buying patterns with the rising number of e-commerce websites and the digital revolution in the retail industry. This drives the need to track and manage the inventory movement of items, which can be done using MLaaS. The use of MLaaS by retail enterprises for inventory optimization and behavioral tracking is expected to have a positive impact on global market growth.
Apart from this, the growing trend of digitization is driving the growth of the MLaaS market globally. Growth in adoption of cloud-based platforms is expected to positively impact the growth of the MLaaS market. However, a lack of qualified and skilled persons is believed to be the one of the challenges before the growth of the MLaaS market. Furthermore, increasing concern toward data privacy is anticipated to restrain the development of the global market.

Machine Learning as a Service (MLaaS) Market Segmentation:

The report will provide an accurate prediction of the contribution of the various segments to the growth of the Machine Learning as a Service (MLaaS) Market size. Based on organization size, SMEs segment is expected to account for the largest xx% market share by 2029. SMEs businesses are also projected to adopt machine learning service. With the help of predictive analytics ML, algorithms not only give real-time data but also predict the future. Machine learning solutions are used by SME businesses for fine-tuning their supply chain by predicting the demand for a product and by suggesting the timing and quantity of supplies vital for satisfying the customers’ expectations.

Machine Learning as a Service (MLaaS) Market Regional Analysis:

The report offers a brief analysis of the major regions in the MLaaS market, namely, Asia-Pacific, Europe, North America, South America, and the Middle East & Africa.
North America play an important role in MLaaS market, with a market size of US$ xxMn in 2021 and will be US$ xx Mn in 2029, with a CAGR of xx% followed by Europe. Most of the machine learning as service market companies are based in the U.S and are contributing significantly in the growth of the market. The Asia-Pacific has been growing with the highest growth rate because of rising investment, favorable government policies and growing awareness. In 2017, Google launched the ‘Google Neural Machine Translation’ for 9 Indian languages which use ML and artificial neural network to upsurges the fluency as well as accuracy in their Google Translate.

Machine Learning as a Service (MLaaS) Market Recent Development:

The MMR research study includes the profiles of leading companies operating in the Global Machine Learning as a Service (MLaas) Market. Companies in the global market are more focused on enhancing their product and service helps through various strategic approaches. The ML providers are competing by launching new product categories, with advanced subscription-based platforms. The companies have adopted the strategy of version up gradations, mergers and acquisitions, agreements, partnerships, and strategic collaborations with regional and global players to achieve high growth in the MLaaS market.

Such as, in April 2019, Microsoft developed a platform that uses machine teaching to help deep strengthening learning algorithms tackle real-world problems. Microsoft scientists and product inventors have pioneered a complementary approach called ML. This relies on people know how to break a problem into easier tasks and give ML models important clues about how to find a solution earlier.

The objective of the report is to present a comprehensive analysis of the Global Machine Learning as a Service (MLaaS) Market including all the stakeholders of the industry. The past and current status of the industry with forecasted market size and trends are presented in the report with the analysis of complicated data in simple language. The report covers all the aspects of the industry with a dedicated study of key players that includes market leaders, followers and new entrants by region. PORTER, SVOR, PESTEL analysis with the potential impact of micro-economic factors by region on the market has been presented in the report. External as well as internal factors that are supposed to affect the business positively or negatively have been analyzed, which will give a clear futuristic view of the industry to the decision-makers.

The report also helps in understanding Global Machine Learning as a Service (MLaaS) Market dynamics, structure by analyzing the market segments and projects the Global Machine Learning as a Service (MLaaS) Market size. Clear representation of competitive analysis of key players by Application, price, financial position, Product portfolio, growth strategies, and regional presence in the Global Machine Learning as a Service (MLaaS) Market make the report investor’s guide.

Scope of the Global Machine Learning as a Service (MLaaS) Market: Inquire before buying






Global Machine Learning as a Service Market




Report Coverage
Details




Base Year:
2021
Forecast Period:
2022-2029




Historical Data:
2017 to 2021
Market Size in 2021:
US $ 3.74 Bn.




Forecast Period 2022 to 2029 CAGR:
34.76%
Market Size in 2029:
US $ 40.76 Bn.




 Segments Covered:
by Component
• Software
• Services




by Organisation Size
• Large Enterprises
• SMEs




by Application
• Marketing & Advertising
• Fraud Detection & Risk Management
• Predictive analytics
• Augmented & Virtual reality
• Natural Language processing
• Computer vision
• Security & surveillance
• Others




by End-User
• Aerospace & Defense
• IT & Telecom
• Energy & Utilities
• Public sector
• Manufacturing
• BFSI
• Healthcare
• Retail
• Others






Machine Learning as a Service (MLaaS) Market, By Region

• Asia Pacific
• North America
• Europe
• Latin America
• Middle East Africa

Machine Learning as a Service (MLaaS) Market Key Players are:

• Ersatz Labs, Inc.
• BigML
• Yottamine Analytics
• Hewlett Packard
• Amazon Web Services
• IBM
• Microsoft
• Sift Science, Inc.
• Google
• AT&T
• Fuzzy.ai
• SAS Institute Inc.
• FICO
• Predictron Labs Ltd.
• H2O.ai
• DataRobot, Inc
• Algolytics
• Iflowsoft Solutions Inc.

Frequently Asked questions

1. What is the market size of the Global Machine Learning as a Service Market in 2021?
Ans. The market size Global Machine Learning as a Service Market in 2021 was US$ 3.74 Billion.

2. What are the different segments of the Global Machine Learning as a Service Market?
Ans. The Global Machine Learning as a Service Market  is divided into Organisation Size ,Component , Application and End-User.

3. What is the study period of this market?
Ans. The Global Machine Learning as a Service Market will be studied from 2021 to 2029.

4. Which region is expected to hold the highest Global Machine Learning as a Service Market share?
Ans. The Asia Pacific dominates the market share in the  market.

5. What  is the Forecast Period of Global Machine Learning as a Service Market?
Ans. The Forecast Period of the market is 2022-2029 in the market. 




Global Machine Learning as a Service (MLaaS) Market

1. Preface

1.1. Report Scope and Market Segmentation
1.2. Research Highlights
1.3. Research Objectives

2. Assumptions and Research Methodology

2.1. Report Assumptions
2.2. Abbreviations
2.3. Research Methodology
2.3.1. Secondary Research
2.3.1.1. Secondary data
2.3.1.2. Secondary Sources
2.3.2. Primary Research
2.3.2.1. Data from Primary Sources
2.3.2.2. Breakdown of Primary Sources

3. Executive Summary: Global Machine Learning as a Service (MLaaS) Market Size, by Market Value (US$ Bn)

4. Market Overview

4.1. Introduction
4.2. Market Indicator
4.2.1. Drivers
4.2.2. Restraints
4.2.3. Opportunities
4.2.4. Challenges
4.3. Porter’s Analysis
4.4. Value Chain Analysis
4.5. Market Risk Analysis
4.6. SWOT Analysis
4.7. Industry Trends and Emerging Technologies

5. Supply Side and Demand Side Indicators

6. Global Machine Learning as a Service (MLaaS) Market Analysis and Forecast

6.1. Machine Learning as a Service (MLaaS) Market Size & Y-o-Y Growth Analysis
6.1.1. North America
6.1.2. Europe
6.1.3. Asia Pacific
6.1.4. Middle East & Africa
6.1.5. South America

7. Global Machine Learning as a Service (MLaaS) Market Analysis and Forecast, By End-Use Industry

7.1. Introduction and Definition
7.2. Key Findings
7.3. Machine Learning as a Service (MLaaS) Market Value Share Analysis, By End-Use Industry
7.4. Machine Learning as a Service (MLaaS) Market Size (US$ Bn) Forecast, By End-Use Industry
7.5. Machine Learning as a Service (MLaaS) Market Analysis, By End-Use Industry
7.6. Machine Learning as a Service (MLaaS) Market Attractiveness Analysis, By End-Use Industry

8. Global Machine Learning as a Service (MLaaS) Market Analysis and Forecast, By Application

8.1. Introduction and Definition
8.2. Key Findings
8.3. Machine Learning as a Service (MLaaS) Market Value Share Analysis, By Application
8.4. Machine Learning as a Service (MLaaS) Market Size (US$ Bn) Forecast, By Application
8.5. Machine Learning as a Service (MLaaS) Market Analysis, By Application
8.6. Machine Learning as a Service (MLaaS) Market Attractiveness Analysis, By Application

9. Global Machine Learning as a Service (MLaaS) Market Analysis and Forecast, By Component

9.1. Introduction and Definition
9.2. Key Findings
9.3. Machine Learning as a Service (MLaaS) Market Value Share Analysis, By Component
9.4. Machine Learning as a Service (MLaaS) Market Size (US$ Bn) Forecast, By Component
9.5. Machine Learning as a Service (MLaaS) Market Analysis, By Component
9.6. Machine Learning as a Service (MLaaS) Market Attractiveness Analysis, By Component

10. Global Machine Learning as a Service (MLaaS) Market Analysis and Forecast, By Organization Size

10.1. Introduction and Definition
10.2. Key Findings
10.3. Machine Learning as a Service (MLaaS) Market Value Share Analysis, By Organization Size
10.4. Machine Learning as a Service (MLaaS) Market Size (US$ Bn) Forecast, By Organization Size
10.5. Machine Learning as a Service (MLaaS) Market Analysis, By Organization Size
10.6. Machine Learning as a Service (MLaaS) Market Attractiveness Analysis, By Organization Size

11. Global Machine Learning as a Service (MLaaS) Market Analysis, by Region

11.1. Machine Learning as a Service (MLaaS) Market Value Share Analysis, by Region
11.2. Machine Learning as a Service (MLaaS) Market Size (US$ Bn) Forecast, by Region
11.3. Machine Learning as a Service (MLaaS) Market Attractiveness Analysis, by Region

12. North America Machine Learning as a Service (MLaaS) Market Analysis

12.1. Key Findings
12.2. North America Machine Learning as a Service (MLaaS) Market Overview
12.3. North America Machine Learning as a Service (MLaaS) Market Value Share Analysis, By End-Use Industry
12.4. North America Machine Learning as a Service (MLaaS) Market Forecast, By End-Use Industry
12.4.1. Aerospace & Defense
12.4.2. IT & Telecom
12.4.3. Energy & Utilities
12.4.4. Public sector
12.4.5. Manufacturing
12.4.6. BFSI
12.4.7. Healthcare
12.4.8. Retail
12.4.9. Others
12.5. North America Machine Learning as a Service (MLaaS) Market Value Share Analysis, By Application
12.6. North America Machine Learning as a Service (MLaaS) Market Forecast, By Application
12.6.1. Marketing & Advertising
12.6.2. Fraud Detection & Risk Management
12.6.3. Predictive analytics
12.6.4. Augmented & Virtual reality
12.6.5. Natural Language processing
12.6.6. Computer vision
12.6.7. Security & surveillance
12.6.8. Others
12.7. North America Machine Learning as a Service (MLaaS) Market Value Share Analysis, By Component
12.8. North America Machine Learning as a Service (MLaaS) Market Forecast, By Component
12.8.1. Software
12.8.2. Services
12.9. North America Machine Learning as a Service (MLaaS) Market Value Share Analysis, By Organization Size
12.10. North America Machine Learning as a Service (MLaaS) Market Forecast, By Organization Size
12.10.1. SEMs
12.10.2. Large Enterprises
12.11. North America Machine Learning as a Service (MLaaS) Market Value Share Analysis, by Country
12.12. North America Machine Learning as a Service (MLaaS) Market Forecast, by Country
12.12.1. U.S.
12.12.2. Canada
12.13. North America Machine Learning as a Service (MLaaS) Market Analysis, by Country
12.14. U.S. Machine Learning as a Service (MLaaS) Market Forecast, By End-Use Industry
12.14.1. Aerospace & Defense
12.14.2. IT & Telecom
12.14.3. Energy & Utilities
12.14.4. Public sector
12.14.5. Manufacturing
12.14.6. BFSI
12.14.7. Healthcare
12.14.8. Retail
12.14.9. Others
12.15. U.S. Machine Learning as a Service (MLaaS) Market Forecast, By Application
12.15.1. Marketing & Advertising
12.15.2. Fraud Detection & Risk Management
12.15.3. Predictive analytics
12.15.4. Augmented & Virtual reality
12.15.5. Natural Language processing
12.15.6. Computer vision
12.15.7. Security & surveillance
12.15.8. Others
12.16. U.S. Machine Learning as a Service (MLaaS) Market Forecast, By Component
12.16.1. Software
12.16.2. Services
12.17. U.S. Machine Learning as a Service (MLaaS) Market Forecast, By Organization Size
12.17.1. SEMs
12.17.2. Large Enterprises
12.18. Canada Machine Learning as a Service (MLaaS) Market Forecast, By End-Use Industry
12.18.1. Aerospace & Defense
12.18.2. IT & Telecom
12.18.3. Energy & Utilities
12.18.4. Public sector
12.18.5. Manufacturing
12.18.6. BFSI
12.18.7. Healthcare
12.18.8. Retail
12.18.9. Others
12.19. Canada Machine Learning as a Service (MLaaS) Market Forecast, By Application
12.19.1. Marketing & Advertising
12.19.2. Fraud Detection & Risk Management
12.19.3. Predictive analytics
12.19.4. Augmented & Virtual reality
12.19.5. Natural Language processing
12.19.6. Computer vision
12.19.7. Security & surveillance
12.19.8. Others
12.20. Canada Machine Learning as a Service (MLaaS) Market Forecast, By Component
12.20.1. Software
12.20.2. Services
12.21. Canada Machine Learning as a Service (MLaaS) Market Forecast, By Organization Size
12.21.1. SEMs
12.21.2. Large Enterprises
12.22. North America Machine Learning as a Service (MLaaS) Market Attractiveness Analysis
12.22.1. By End-Use Industry
12.22.2. By Application
12.22.3. By Component
12.22.4. By Organization Size
12.23. PEST Analysis
12.24. Key Trends
12.25. Key Developments

13. Europe Machine Learning as a Service (MLaaS) Market Analysis

13.1. Key Findings
13.2. Europe Machine Learning as a Service (MLaaS) Market Overview
13.3. Europe Machine Learning as a Service (MLaaS) Market Value Share Analysis, By End-Use Industry
13.4. Europe Machine Learning as a Service (MLaaS) Market Forecast, By End-Use Industry
13.4.1. Aerospace & Defense
13.4.2. IT & Telecom
13.4.3. Energy & Utilities
13.4.4. Public sector
13.4.5. Manufacturing
13.4.6. BFSI
13.4.7. Healthcare
13.4.8. Retail
13.4.9. Others
13.5. Europe Machine Learning as a Service (MLaaS) Market Value Share Analysis, By Application
13.6. Europe Machine Learning as a Service (MLaaS) Market Forecast, By Application
13.6.1. Marketing & Advertising
13.6.2. Fraud Detection & Risk Management
13.6.3. Predictive analytics
13.6.4. Augmented & Virtual reality
13.6.5. Natural Language processing
13.6.6. Computer vision
13.6.7. Security & surveillance
13.6.8. Others
13.7. Europe Machine Learning as a Service (MLaaS) Market Value Share Analysis, By Component
13.8. Europe Machine Learning as a Service (MLaaS) Market Forecast, By Component
13.8.1. Software
13.8.2. Services
13.9. Europe Machine Learning as a Service (MLaaS) Market Value Share Analysis, By Organization Size
13.10. Europe Machine Learning as a Service (MLaaS) Market Forecast, By Organization Size
13.10.1. SEMs
13.10.2. Large Enterprises
13.11. Europe Machine Learning as a Service (MLaaS) Market Value Share Analysis, by Country
13.12. Europe Machine Learning as a Service (MLaaS) Market Forecast, by Country
13.12.1. Germany
13.12.2. U.K.
13.12.3. France
13.12.4. Italy
13.12.5. Spain
13.12.6. Rest of Europe
13.13. Europe Machine Learning as a Service (MLaaS) Market Analysis, by Country
13.14. Germany Machine Learning as a Service (MLaaS) Market Forecast, By End-Use Industry
13.14.1. Aerospace & Defense
13.14.2. IT & Telecom
13.14.3. Energy & Utilities
13.14.4. Public sector
13.14.5. Manufacturing
13.14.6. BFSI
13.14.7. Healthcare
13.14.8. Retail
13.14.9. Others
13.15. Germany Machine Learning as a Service (MLaaS) Market Forecast, By Application
13.15.1. Marketing & Advertising
13.15.2. Fraud Detection & Risk Management
13.15.3. Predictive analytics
13.15.4. Augmented & Virtual reality
13.15.5. Natural Language processing
13.15.6. Computer vision
13.15.7. Security & surveillance
13.15.8. Others
13.16. Germany Machine Learning as a Service (MLaaS) Market Forecast, By Component
13.16.1. Software
13.16.2. Services
13.17. Germany Machine Learning as a Service (MLaaS) Market Forecast, By Organization Size
13.17.1. SEMs
13.17.2. Large Enterprises
13.18. U.K. Machine Learning as a Service (MLaaS) Market Forecast, By End-Use Industry
13.18.1. Aerospace & Defense
13.18.2. IT & Telecom
13.18.3. Energy & Utilities
13.18.4. Public sector
13.18.5. Manufacturing
13.18.6. BFSI
13.18.7. Healthcare
13.18.8. Retail
13.18.9. Others
13.19. U.K. Machine Learning as a Service (MLaaS) Market Forecast, By Application
13.19.1. Marketing & Advertising
13.19.2. Fraud Detection & Risk Management
13.19.3. Predictive analytics
13.19.4. Augmented & Virtual reality
13.19.5. Natural Language processing
13.19.6. Computer vision
13.19.7. Security & surveillance
13.19.8. Others
13.20. U.K. Machine Learning as a Service (MLaaS) Market Forecast, By Component
13.20.1. Software
13.20.2. Services
13.21. U.K. Machine Learning as a Service (MLaaS) Market Forecast, By Organization Size
13.21.1. SEMs
13.21.2. Large Enterprises
13.22. France Machine Learning as a Service (MLaaS) Market Forecast, By End-Use Industry
13.22.1. Aerospace & Defense
13.22.2. IT & Telecom
13.22.3. Energy & Utilities
13.22.4. Public sector
13.22.5. Manufacturing
13.22.6. BFSI
13.22.7. Healthcare
13.22.8. Retail
13.22.9. Others
13.23. France Machine Learning as a Service (MLaaS) Market Forecast, By Application
13.23.1. Marketing & Advertising
13.23.2. Fraud Detection & Risk Management
13.23.3. Predictive analytics
13.23.4. Augmented & Virtual reality
13.23.5. Natural Language processing
13.23.6. Computer vision
13.23.7. Security & surveillance
13.23.8. Others
13.24. France Machine Learning as a Service (MLaaS) Market Forecast, By Component
13.24.1. Software
13.24.2. Services
13.25. France Machine Learning as a Service (MLaaS) Market Forecast, By Organization Size
13.25.1. SEMs
13.25.2. Large Enterprises
13.26. Italy Machine Learning as a Service (MLaaS) Market Forecast, By End-Use Industry
13.26.1. Aerospace & Defense
13.26.2. IT & Telecom
13.26.3. Energy & Utilities
13.26.4. Public sector
13.26.5. Manufacturing
13.26.6. BFSI
13.26.7. Healthcare
13.26.8. Retail
13.26.9. Others
13.27. Italy Machine Learning as a Service (MLaaS) Market Forecast, By Application
13.27.1. Marketing & Advertising
13.27.2. Fraud Detection & Risk Management
13.27.3. Predictive analytics
13.27.4. Augmented & Virtual reality
13.27.5. Natural Language processing
13.27.6. Computer vision
13.27.7. Security & surveillance
13.27.8. Others
13.28. Italy Machine Learning as a Service (MLaaS) Market Forecast, By Component
13.28.1. Software
13.28.2. Services
13.29. Italy Machine Learning as a Service (MLaaS) Market Forecast, By Organization Size
13.29.1. SEMs
13.29.2. Large Enterprises
13.30. Spain Machine Learning as a Service (MLaaS) Market Forecast, By End-Use Industry
13.30.1. Aerospace & Defense
13.30.2. IT & Telecom
13.30.3. Energy & Utilities
13.30.4. Public sector
13.30.5. Manufacturing
13.30.6. BFSI
13.30.7. Healthcare
13.30.8. Retail
13.30.9. Others
13.31. Spain Machine Learning as a Service (MLaaS) Market Forecast, By Application
13.31.1. Marketing & Advertising
13.31.2. Fraud Detection & Risk Management
13.31.3. Predictive analytics
13.31.4. Augmented & Virtual reality
13.31.5. Natural Language processing
13.31.6. Computer vision
13.31.7. Security & surveillance
13.31.8. Others
13.32. Spain Machine Learning as a Service (MLaaS) Market Forecast, By Component
13.32.1. Software
13.32.2. Services
13.33. Spain Machine Learning as a Service (MLaaS) Market Forecast, By Organization Size
13.33.1. SEMs
13.33.2. Large Enterprises
13.34. Rest of Europe Machine Learning as a Service (MLaaS) Market Forecast, By End-Use Industry
13.34.1. Aerospace & Defense
13.34.2. IT & Telecom
13.34.3. Energy & Utilities
13.34.4. Public sector
13.34.5. Manufacturing
13.34.6. BFSI
13.34.7. Healthcare
13.34.8. Retail
13.34.9. Others
13.35. Rest of Europe Machine Learning as a Service (MLaaS) Market Forecast, By Application
13.35.1. Marketing & Advertising
13.35.2. Fraud Detection & Risk Management
13.35.3. Predictive analytics
13.35.4. Augmented & Virtual reality
13.35.5. Natural Language processing
13.35.6. Computer vision
13.35.7. Security & surveillance
13.35.8. Others
13.36. Rest of Europe Machine Learning as a Service (MLaaS) Market Forecast, By Component
13.36.1. Software
13.36.2. Services
13.37. Rest Of Europe Machine Learning as a Service (MLaaS) Market Forecast, By Organization Size
13.37.1. SEMs
13.37.2. Large Enterprises
13.38. Europe Machine Learning as a Service (MLaaS) Market Attractiveness Analysis
13.38.1. By End-Use Industry
13.38.2. By Application
13.38.3. By Component
13.38.4. By Organization Size
13.39. PEST Analysis
13.40. Key Trends
13.41. Key Developments

14. Asia Pacific Machine Learning as a Service (MLaaS) Market Analysis

14.1. Key Findings
14.2. Asia Pacific Machine Learning as a Service (MLaaS) Market Overview
14.3. Asia Pacific Machine Learning as a Service (MLaaS) Market Value Share Analysis, By End-Use Industry
14.4. Asia Pacific Machine Learning as a Service (MLaaS) Market Forecast, By End-Use Industry
14.4.1. Aerospace & Defense
14.4.2. IT & Telecom
14.4.3. Energy & Utilities
14.4.4. Public sector
14.4.5. Manufacturing
14.4.6. BFSI
14.4.7. Healthcare
14.4.8. Retail
14.4.9. Others
14.5. Asia Pacific Machine Learning as a Service (MLaaS) Market Value Share Analysis, By Application
14.6. Asia Pacific Machine Learning as a Service (MLaaS) Market Forecast, By Application
14.6.1. Marketing & Advertising
14.6.2. Fraud Detection & Risk Management
14.6.3. Predictive analytics
14.6.4. Augmented & Virtual reality
14.6.5. Natural Language processing
14.6.6. Computer vision
14.6.7. Security & surveillance
14.6.8. Others
14.7. Asia Pacific Machine Learning as a Service (MLaaS) Market Value Share Analysis, By Component
14.8. Asia Pacific Machine Learning as a Service (MLaaS) Market Forecast, By Component
14.8.1. Software
14.8.2. Services
14.9. Asia Pacific Machine Learning as a Service (MLaaS) Market Value Share Analysis, By Organization Size
14.10. Asia Pacific Machine Learning as a Service (MLaaS) Market Forecast, By Organization Size
14.10.1. SEMs
14.10.2. Large Enterprises
14.11. Asia Pacific Machine Learning as a Service (MLaaS) Market Value Share Analysis, by Country
14.12. Asia Pacific Machine Learning as a Service (MLaaS) Market Forecast, by Country
14.12.1. China
14.12.2. India
14.12.3. Japan
14.12.4. ASEAN
14.12.5. Rest of Asia Pacific
14.13. Asia Pacific Machine Learning as a Service (MLaaS) Market Analysis, by Country
14.14. China Machine Learning as a Service (MLaaS) Market Forecast, By End-Use Industry
14.14.1. Aerospace & Defense
14.14.2. IT & Telecom
14.14.3. Energy & Utilities
14.14.4. Public sector
14.14.5. Manufacturing
14.14.6. BFSI
14.14.7. Healthcare
14.14.8. Retail
14.14.9. Others
14.15. China Machine Learning as a Service (MLaaS) Market Forecast, By Application
14.15.1. Marketing & Advertising
14.15.2. Fraud Detection & Risk Management
14.15.3. Predictive analytics
14.15.4. Augmented & Virtual reality
14.15.5. Natural Language processing
14.15.6. Computer vision
14.15.7. Security & surveillance
14.15.8. Others
14.16. China Machine Learning as a Service (MLaaS) Market Forecast, By Component
14.16.1. Software
14.16.2. Services
14.17. China Machine Learning as a Service (MLaaS) Market Forecast, By Organization Size
14.17.1. SEMs
14.17.2. Large Enterprises
14.18. India Machine Learning as a Service (MLaaS) Market Forecast, By End-Use Industry
14.18.1. Aerospace & Defense
14.18.2. IT & Telecom
14.18.3. Energy & Utilities
14.18.4. Public sector
14.18.5. Manufacturing
14.18.6. BFSI
14.18.7. Healthcare
14.18.8. Retail
14.18.9. Others
14.19. India Machine Learning as a Service (MLaaS) Market Forecast, By Application
14.19.1. Marketing & Advertising
14.19.2. Fraud Detection & Risk Management
14.19.3. Predictive analytics
14.19.4. Augmented & Virtual reality
14.19.5. Natural Language processing
14.19.6. Computer vision
14.19.7. Security & surveillance
14.19.8. Others
14.20. India Machine Learning as a Service (MLaaS) Market Forecast, By Component
14.20.1. Software
14.20.2. Services
14.21. India Machine Learning as a Service (MLaaS) Market Forecast, By Organization Size
14.21.1. SEMs
14.21.2. Large Enterprises
14.22. Japan Machine Learning as a Service (MLaaS) Market Forecast, By End-Use Industry
14.22.1. Aerospace & Defense
14.22.2. IT & Telecom
14.22.3. Energy & Utilities
14.22.4. Public sector
14.22.5. Manufacturing
14.22.6. BFSI
14.22.7. Healthcare
14.22.8. Retail
14.22.9. Others
14.23. Japan Machine Learning as a Service (MLaaS) Market Forecast, By Application
14.23.1. Marketing & Advertising
14.23.2. Fraud Detection & Risk Management
14.23.3. Predictive analytics
14.23.4. Augmented & Virtual reality
14.23.5. Natural Language processing
14.23.6. Computer vision
14.23.7. Security & surveillance
14.23.8. Others
14.24. Japan Machine Learning as a Service (MLaaS) Market Forecast, By Component
14.24.1. Software
14.24.2. Services
14.25. Japan Machine Learning as a Service (MLaaS) Market Forecast, By Organization Size
14.25.1. SEMs
14.25.2. Large Enterprises
14.26. ASEAN Machine Learning as a Service (MLaaS) Market Forecast, By End-Use Industry
14.26.1. Aerospace & Defense
14.26.2. IT & Telecom
14.26.3. Energy & Utilities
14.26.4. Public sector
14.26.5. Manufacturing
14.26.6. BFSI
14.26.7. Healthcare
14.26.8. Retail
14.26.9. Others
14.27. ASEAN Machine Learning as a Service (MLaaS) Market Forecast, By Application
14.27.1. Marketing & Advertising
14.27.2. Fraud Detection & Risk Management
14.27.3. Predictive analytics
14.27.4. Augmented & Virtual reality
14.27.5. Natural Language processing
14.27.6. Computer vision
14.27.7. Security & surveillance
14.27.8. Others
14.28. ASEAN Machine Learning as a Service (MLaaS) Market Forecast, By Component
14.28.1. Software
14.28.2. Services
14.29. ASEAN Machine Learning as a Service (MLaaS) Market Forecast, By Organization Size
14.29.1. SEMs
14.29.2. Large Enterprises
14.30. Rest of Asia Pacific Machine Learning as a Service (MLaaS) Market Forecast, By End-Use Industry
14.30.1. Aerospace & Defense
14.30.2. IT & Telecom
14.30.3. Energy & Utilities
14.30.4. Public sector
14.30.5. Manufacturing
14.30.6. BFSI
14.30.7. Healthcare
14.30.8. Retail
14.30.9. Others
14.31. Rest of Asia Pacific Machine Learning as a Service (MLaaS) Market Forecast, By Application
14.31.1. Marketing & Advertising
14.31.2. Fraud Detection & Risk Management
14.31.3. Predictive analytics
14.31.4. Augmented & Virtual reality
14.31.5. Natural Language processing
14.31.6. Computer vision
14.31.7. Security & surveillance
14.31.8. Others
14.32. Rest of Asia Pacific Machine Learning as a Service (MLaaS) Market Forecast, By Component
14.32.1. Software
14.32.2. Services
14.33. Rest of Asia Pacific Machine Learning as a Service (MLaaS) Market Forecast, By Organization Size
14.33.1. SEMs
14.33.2. Large Enterprises
14.34. Asia Pacific Machine Learning as a Service (MLaaS) Market Attractiveness Analysis
14.34.1. By End-Use Industry
14.34.2. By Application
14.34.3. By Component
14.34.4. By Organization Size
14.35. PEST Analysis
14.36. Key Trends
14.37. Key Developments

15. Middle East & Africa Machine Learning as a Service (MLaaS) Market Analysis

15.1. Key Findings
15.2. Middle East & Africa Machine Learning as a Service (MLaaS) Market Overview
15.3. Middle East & Africa Machine Learning as a Service (MLaaS) Market Value Share Analysis, By End-Use Industry
15.4. Middle East & Africa Machine Learning as a Service (MLaaS) Market Forecast, By End-Use Industry
15.4.1. Aerospace & Defense
15.4.2. IT & Telecom
15.4.3. Energy & Utilities
15.4.4. Public sector
15.4.5. Manufacturing
15.4.6. BFSI
15.4.7. Healthcare
15.4.8. Retail
15.4.9. Others
15.5. Middle East & Africa Machine Learning as a Service (MLaaS) Market Value Share Analysis, By Application
15.6. Middle East & Africa Machine Learning as a Service (MLaaS) Market Forecast, By Application
15.6.1. Marketing & Advertising
15.6.2. Fraud Detection & Risk Management
15.6.3. Predictive analytics
15.6.4. Augmented & Virtual reality
15.6.5. Natural Language processing
15.6.6. Computer vision
15.6.7. Security & surveillance
15.6.8. Others
15.7. Middle East & Africa Machine Learning as a Service (MLaaS) Market Value Share Analysis, By Component
15.8. Middle East & Africa Machine Learning as a Service (MLaaS) Market Forecast, By Component
15.8.1. Software
15.8.2. Services
15.9. Middle East & Africa Machine Learning as a Service (MLaaS) Market Value Share Analysis, By Organization Size
15.10. Middle East & Africa Machine Learning as a Service (MLaaS) Market Forecast, By Organization Size
15.10.1. SEMs
15.10.2. Large Enterprises
15.11. Middle East & Africa Machine Learning as a Service (MLaaS) Market Value Share Analysis, by Country
15.12. Middle East & Africa Machine Learning as a Service (MLaaS) Market Forecast, by Country
15.12.1. GCC
15.12.2. South Africa
15.12.3. Rest of Middle East & Africa
15.13. Middle East & Africa Machine Learning as a Service (MLaaS) Market Analysis, by Country
15.14. GCC Machine Learning as a Service (MLaaS) Market Forecast, By End-Use Industry
15.14.1. Aerospace & Defense
15.14.2. IT & Telecom
15.14.3. Energy & Utilities
15.14.4. Public sector
15.14.5. Manufacturing
15.14.6. BFSI
15.14.7. Healthcare
15.14.8. Retail
15.14.9. Others
15.15. GCC Machine Learning as a Service (MLaaS) Market Forecast, By Application
15.15.1. Marketing & Advertising
15.15.2. Fraud Detection & Risk Management
15.15.3. Predictive analytics
15.15.4. Augmented & Virtual reality
15.15.5. Natural Language processing
15.15.6. Computer vision
15.15.7. Security & surveillance
15.15.8. Others
15.16. GCC Machine Learning as a Service (MLaaS) Market Forecast, By Component
15.16.1. Software
15.16.2. Services
15.17. GCC Machine Learning as a Service (MLaaS) Market Forecast, By Organization Size
15.17.1. SEMs
15.17.2. Large Enterprises
15.18. South Africa Machine Learning as a Service (MLaaS) Market Forecast, By End-Use Industry
15.18.1. Aerospace & Defense
15.18.2. IT & Telecom
15.18.3. Energy & Utilities
15.18.4. Public sector
15.18.5. Manufacturing
15.18.6. BFSI
15.18.7. Healthcare
15.18.8. Retail
15.18.9. Others
15.19. South Africa Machine Learning as a Service (MLaaS) Market Forecast, By Application
15.19.1. Marketing & Advertising
15.19.2. Fraud Detection & Risk Management
15.19.3. Predictive analytics
15.19.4. Augmented & Virtual reality
15.19.5. Natural Language processing
15.19.6. Computer vision
15.19.7. Security & surveillance
15.19.8. Others
15.20. South Africa Machine Learning as a Service (MLaaS) Market Forecast, By Component
15.20.1. Software
15.20.2. Services
15.21. South Africa Machine Learning as a Service (MLaaS) Market Forecast, By Organization Size
15.21.1. SEMs
15.21.2. Large Enterprises
15.22. Rest of Middle East & Africa Machine Learning as a Service (MLaaS) Market Forecast, By End-Use Industry
15.22.1. Aerospace & Defense
15.22.2. IT & Telecom
15.22.3. Energy & Utilities
15.22.4. Public sector
15.22.5. Manufacturing
15.22.6. BFSI
15.22.7. Healthcare
15.22.8. Retail
15.22.9. Others
15.23. Rest of Middle East & Africa Machine Learning as a Service (MLaaS) Market Forecast, By Application
15.23.1. Marketing & Advertising
15.23.2. Fraud Detection & Risk Management
15.23.3. Predictive analytics
15.23.4. Augmented & Virtual reality
15.23.5. Natural Language processing
15.23.6. Computer vision
15.23.7. Security & surveillance
15.23.8. Others
15.24. Rest of Middle East & Africa Machine Learning as a Service (MLaaS) Market Forecast, By Component
15.24.1. Software
15.24.2. Services
15.25. Rest of Middle East & Africa Machine Learning as a Service (MLaaS) Market Forecast, By Organization Size
15.25.1. SEMs
15.25.2. Large Enterprises
15.26. Middle East & Africa Machine Learning as a Service (MLaaS) Market Attractiveness Analysis
15.26.1. By End-Use Industry
15.26.2. By Application
15.26.3. By Component
15.26.4. By Organization Size
15.27. PEST Analysis
15.28. Key Trends
15.29. Key Developments

16. South America Machine Learning as a Service (MLaaS) Market Analysis

16.1. Key Findings
16.2. South America Machine Learning as a Service (MLaaS) Market Overview
16.3. South America Machine Learning as a Service (MLaaS) Market Value Share Analysis, By End-Use Industry
16.4. South America Machine Learning as a Service (MLaaS) Market Forecast, By End-Use Industry
16.4.1. Aerospace & Defense
16.4.2. IT & Telecom
16.4.3. Energy & Utilities
16.4.4. Public sector
16.4.5. Manufacturing
16.4.6. BFSI
16.4.7. Healthcare
16.4.8. Retail
16.4.9. Others
16.5. South America Machine Learning as a Service (MLaaS) Market Value Share Analysis, By Application
16.6. South America Machine Learning as a Service (MLaaS) Market Forecast, By Application
16.6.1. Marketing & Advertising
16.6.2. Fraud Detection & Risk Management
16.6.3. Predictive analytics
16.6.4. Augmented & Virtual reality
16.6.5. Natural Language processing
16.6.6. Computer vision
16.6.7. Security & surveillance
16.6.8. Others
16.7. South America Machine Learning as a Service (MLaaS) Market Value Share Analysis, By Component
16.8. South America Machine Learning as a Service (MLaaS) Market Forecast, By Component
16.8.1. Software
16.8.2. Services
16.9. South America Machine Learning as a Service (MLaaS) Market Value Share Analysis, By Organization Size
16.10. South America Machine Learning as a Service (MLaaS) Market Forecast, By Organization Size
16.10.1. SEMs
16.10.2. Large Enterprises
16.11. South America Machine Learning as a Service (MLaaS) Market Value Share Analysis, by Country
16.12. South America Machine Learning as a Service (MLaaS) Market Forecast, by Country
16.12.1. Brazil
16.12.2. Mexico
16.12.3. Rest of South America
16.13. South America Machine Learning as a Service (MLaaS) Market Analysis, by Country
16.14. Brazil Machine Learning as a Service (MLaaS) Market Forecast, By End-Use Industry
16.14.1. Aerospace & Defense
16.14.2. IT & Telecom
16.14.3. Energy & Utilities
16.14.4. Public sector
16.14.5. Manufacturing
16.14.6. BFSI
16.14.7. Healthcare
16.14.8. Retail
16.14.9. Others
16.15. Brazil Machine Learning as a Service (MLaaS) Market Forecast, By Application
16.15.1. Marketing & Advertising
16.15.2. Fraud Detection & Risk Management
16.15.3. Predictive analytics
16.15.4. Augmented & Virtual reality
16.15.5. Natural Language processing
16.15.6. Computer vision
16.15.7. Security & surveillance
16.15.8. Others
16.16. Brazil Machine Learning as a Service (MLaaS) Market Forecast, By Component
16.16.1. Software
16.16.2. Services
16.17. Brazil Machine Learning as a Service (MLaaS) Market Forecast, By Organization Size
16.17.1. SEMs
16.17.2. Large Enterprises
16.18. Mexico Machine Learning as a Service (MLaaS) Market Forecast, By End-Use Industry
16.18.1. Aerospace & Defense
16.18.2. IT & Telecom
16.18.3. Energy & Utilities
16.18.4. Public sector
16.18.5. Manufacturing
16.18.6. BFSI
16.18.7. Healthcare
16.18.8. Retail
16.18.9. Others
16.19. Mexico Machine Learning as a Service (MLaaS) Market Forecast, By Application
16.19.1. Marketing & Advertising
16.19.2. Fraud Detection & Risk Management
16.19.3. Predictive analytics
16.19.4. Augmented & Virtual reality
16.19.5. Natural Language processing
16.19.6. Computer vision
16.19.7. Security & surveillance
16.19.8. Others
16.20. Mexico Machine Learning as a Service (MLaaS) Market Forecast, By Component
16.20.1. Software
16.20.2. Services
16.21. Mexico Machine Learning as a Service (MLaaS) Market Forecast, By Organization Size
16.21.1. SEMs
16.21.2. Large Enterprises
16.22. Rest of South America Machine Learning as a Service (MLaaS) Market Forecast, By End-Use Industry
16.22.1. Aerospace & Defense
16.22.2. IT & Telecom
16.22.3. Energy & Utilities
16.22.4. Public sector
16.22.5. Manufacturing
16.22.6. BFSI
16.22.7. Healthcare
16.22.8. Retail
16.22.9. Others
16.23. Rest of South America Machine Learning as a Service (MLaaS) Market Forecast, By Application
16.23.1. Marketing & Advertising
16.23.2. Fraud Detection & Risk Management
16.23.3. Predictive analytics
16.23.4. Augmented & Virtual reality
16.23.5. Natural Language processing
16.23.6. Computer vision
16.23.7. Security & surveillance
16.23.8. Others
16.24. Rest of South America Machine Learning as a Service (MLaaS) Market Forecast, By Component
16.24.1. Software
16.24.2. Services
16.25. Rest of South America Machine Learning as a Service (MLaaS) Market Forecast, By Organization Size
16.25.1. SEMs
16.25.2. Large Enterprises
16.26. South America Machine Learning as a Service (MLaaS) Market Attractiveness Analysis
16.26.1. By End-Use Industry
16.26.2. By Application
16.26.3. By Component
16.26.4. By Organization Size
16.27. PEST Analysis
16.28. Key Trends
16.29. Key Developments

17. Company Profiles

17.1. Market Share Analysis, by Company
17.2. Competition Matrix
17.2.1. Competitive Benchmarking of key players by price, presence, market share, Applications and R&D investment
17.2.2. New Product Launches and Product Enhancements
17.2.3. Market Consolidation
17.2.3.1. M&A by Regions, Investment and Applications
17.2.3.2. M&A Key Players, Forward Integration and Backward
17.2.3.3. Integration
17.3. Company Profiles: Key Players
17.3.1. Ersatz Labs, Inc.
17.3.1.1. Company Overview
17.3.1.2. Financial Overview
17.3.1.3. Product Portfolio
17.3.1.4. Business Strategy
17.3.1.5. Recent Developments
17.3.1.6. Development Footprint
17.3.2. BigML
17.3.3. Yottamine Analytics
17.3.4. Hewlett Packard
17.3.5. Amazon Web Services
17.3.6. IBM
17.3.7. Microsoft
17.3.8. Sift Science, Inc.
17.3.9. Google
17.3.10. AT&T
17.3.11. Fuzzy.ai
17.3.12. SAS Institute Inc.
17.3.13. FICO
17.3.14. Predictron Labs Ltd.
17.3.15. H2O.ai
17.3.16. DataRobot, Inc
17.3.17. Algolytics
17.3.18. Iflowsoft Solutions Inc.

18. Market Insights
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