Machine Learning As A Service (MLaaS) Market Report
RA05776
Machine Learning as a Service (MLaaS) Market, by Service Type (Professional Services, Managed Services), Organization (SMEs, Large Enterprises), Billing Type (Marketing and Advertising., Risk Analytics and Fraud Detection, Predictive Maintenance (Pattern recognition & generation, anomaly detection), Augmented Reality (Pattern recognition & generation, object recognition, automated simulation, prediction/recommendation), Network Analytics and Automated Traffic Management (SDN and NFV/ automated traffic generation/ etc.), Others), Infrastructure (Software Tools, Data Storage and Archiving, Cloud and Web-based Application Programming Interface (APIs), Others): Global Opportunity Analysis and Industry Forecast, 2020-2027
The global machine learning as a service (mlaas) market is estimated to surpass $34,912.7 million by 2027, exhibiting a CAGR of 44.4% from 2020 to 2027.
The report aims to offer a clear view of the present scenario and future growth of the market. The report delivers scrupulous analysis of global machine learning as a service (mlaas) market by exhaustively reviewing several factors of the market such as key segments, market dynamics, regional market circumstances, investment suitability, and foremost players operating in the market. Moreover, the report offers sharp insights into present and prospective trends & developments in the market.
Furthermore, key opportunities and factors fueling the market growth are articulated in the report. Also, limitations and threats that have the possibility to impede the market growth are outlined in the report. Moreover. Porter’s five forces analysis that explains the bargaining power of consumers and suppliers, competitive landscape, threats of new players, and development of substitutes in the market is also profiled in the report.
By analyzing the major factors shaping the market, the report reveals statistics such as predicted market size and forecast by deeply assessing every segment of the global machine learning as a service (mlaas) market. Regional market analysis of these segments is also provided in the report. The report segments the global machine learning as a service (mlaas) market into four main regions including Asia-Pacific, Europe, North America, and LAMEA. Moreover, these regions are sub-divided to offer an exhaustive landscape of the machine learning as a service (mlaas) market across key countries in respective regions. Furthermore, the report divulges some of the latest advances, trends, and upcoming opportunities in every region.
In addition to these insights, the profiles of top players active in the global machine learning as a service (mlaas) market are articulated in the report. An exhaustive summary of 10 foremost players functioning in the global machine learning as a service (mlaas) market is delivered to comprehend their position and footmark in the market. The report highlights various data points such as short summary of the company, chief company executives, company’s financial status and proceeds, key business strategies executed by company, advanced developments or initiatives taken by company to thrust their position and grasp a remarkable position in the global machine learning as a service (mlaas) market.
RESEARCH METHODOLOGY
The research report is drafted by in-house research analysts who sincerely examine the market scenario and form predictions. The market forecasts specified in the report have been derived using proven research approaches and analytical models & tools. The use of such pioneering and effective tools helps market analysts in analyzing, filtering, and providing highly precise statistics and estimates. The report provides an extensive research and analysis backed with factual data obtained from various interviews with market players, reliable and renowned sources of data, and regional intelligence. The insights delivered in the report can help stakeholders in understanding investment suitability and market players to seize opportunities for partnerships, investments, and advancements in the global market.
The research report is formulated by collecting different information, news, and statistics about the machine learning as a service (mlaas) market. For instance, detailed interviews and discussions with veteran market players and stakeholders, including upstream and downstream members have been conducted to obtain reliable and realistic data. Even though primary research forms the crucial part of the research report, secondary research plays a significant role in backing the research outcomes. Nearly 5,900 product type literatures, business magazines, company annual reports, and other such significant documents of leading market players have been considered and studied for thorough understanding of the market scenario. In addition, truthful industry bulletins, medical newsletters, trade associations’ journals, and government websites have been explored for tracking down high-value market insights.
KEY MARKET BENEFITS
- The report provides the market size and predictions for the period from 2020 to 2027.
- This report delivers inventions, trends, and innovative developments along with an exhaustive quantitative analysis of the machine learning as a service (mlaas) market during the period of forecast.
- The prevailing and forthcoming investment opportunities along with the strategic assessment of the global machine learning as a service (mlaas) market growth is delivered.
- The market size and forecasts are derived by scrutinizing market boomers and restraints, and key developments in the machine learning as a service (mlaas) market.
- Insights into foremost market players, Porter’s Five Analysis, and top winning business strategies is provided.
- Growth tactics and initiatives taken by the top market players are outlined to understand the competitive scenario and strength of the market.
KEY MARKET SEGMENTS
The report segments the global market into service type ,organization ,billing type ,infrastructure .
- Service Type: Professional Services, Managed Services
- Organization: SMEs, Large Enterprises
- Billing Type: Marketing and Advertising., Risk Analytics and Fraud Detection, Predictive Maintenance (Pattern recognition & generation, anomaly detection), Augmented Reality (Pattern recognition & generation, object recognition, automated simulation, prediction/recommendation), Network Analytics and Automated Traffic Management (SDN and NFV/ automated traffic generation/ etc.), Others
- Infrastructure: Software Tools, Data Storage and Archiving, Cloud and Web-based Application Programming Interface (APIs), Others
Region:
The global machine learning as a service (mlaas) market is divided into North America, Europe, Asia Pacific, and LAMEA.
The above-mentioned regions are further dived in countries as follows:
- North America
- U.S.
- Canada
- Mexico
- Europe
- Germany
- UK
- France
- Spain
- Italy
- Rest of Europe
- Asia-Pacific
- Japan
- China
- India
- Australia
- South Korea
- Rest of Asia-Pacific
- LAMEA
- Brazil
- Argentina
- Saudi Arabia
- South Africa
- UAE
- Rest of LAMEA
KEY PLAYERS
The leading players stated in the report are Fuzzy.ai (Montreal, US), Google, Amazon Web Services (Washington. The report articulates the business overview including financial and annual performance, newest strategic plans & developments, product range, and SWOT analysis of all the players mentioned in the report.
1. Microsoft (Washington
2. US)
3. Amazon Web Services (Washington
4. US)
5. Hewlett Packard Enterprises (California
6. US)
7. Google
8. Inc.(California
9. US)
10. BigML Inc. (Oregon
11. US)
12. FICO(California
13. US)
14. IBM Corporation (New York
15. US)
16. AT&T (Dallas
17. US)
18. Fuzzy.ai (Montreal
19. Canada)
20. Yottamine Analytics (Washington
21. US)
22. Ersatz Labs (California
23. US)
24. Sift-Science (California
25. US)
-
1. RESEARCH METHODOLOGY
1.1. Desk Research
1.2. Real time insights and validation
1.3. Forecast model
1.4. Assumptions and forecast parameters
1.5. Market size estimation
1.5.1. Top-down approach
1.5.2. Bottom-up approach
-
2. REPORT SCOPE
2.1. Market definition
2.2. Key objectives of the study
2.3. Report overview
2.4. Market segmentation
2.5. Overview of the impact of COVID-19 on Global Machine Learning as a Service (MLaaS) Market
-
3. EXECUTIVE SUMMARY
-
4. MARKET OVERVIEW
4.1. Introduction
4.2. Growth impact forces
4.2.1. Drivers
4.2.2. Restraints
4.2.3. Opportunities
4.3. Market value chain analysis
4.3.1. List of raw material suppliers
4.3.2. List of manufacturers
4.3.3. List of distributors
4.4. Innovation & sustainability matrices
4.4.1. Technology matrix
4.4.2. Regulatory matrix
4.5. Porter’s five forces analysis
4.5.1. Bargaining power of suppliers
4.5.2. Bargaining power of consumers
4.5.3. Threat of substitutes
4.5.4. Threat of new entrants
4.5.5. Competitive rivalry intensity
4.6. PESTLE analysis
4.6.1. Political
4.6.2. Economical
4.6.3. Social
4.6.4. Technological
4.6.5. Environmental
4.7. Impact of COVID-19 on Machine Learning as a Service (MLaaS) Market
4.7.1. Pre-covid market scenario
4.7.2. Post-covid market scenario
-
5. Machine Learning As A Service (MLaaS) Market, By Vertical
5.1. Overview
5.2 Professional Services
5.2.1 Definition, key trends, growth factors, and opportunities
5.2.2 Market size analysis, by region, 2020-2027
5.2.3 Market share analysis, by country, 2020-2027
5.3 Managed Services
5.3.1 Definition, key trends, growth factors, and opportunities
5.3.2 Market size analysis, by region, 2020-2027
5.3.3 Market share analysis, by country, 2020-2027
5.4 Research Dive Exclusive Insights
5.4.1 Market attractiveness
5.4.2 Competition heatmap
-
6. Machine Learning As A Service (MLaaS) Market, By Price
6.1. Overview
6.2 SMEs
6.2.1 Definition, key trends, growth factors, and opportunities
6.2.2 Market size analysis, by region, 2020-2027
6.2.3 Market share analysis, by country, 2020-2027
6.3 Large Enterprises
6.3.1 Definition, key trends, growth factors, and opportunities
6.3.2 Market size analysis, by region, 2020-2027
6.3.3 Market share analysis, by country, 2020-2027
6.4 Research Dive Exclusive Insights
6.4.1 Market attractiveness
6.4.2 Competition heatmap
-
7. Machine Learning As A Service (MLaaS) Market, By Source
7.1. Overview
7.2 Marketing and Advertising.
7.2.1 Definition, key trends, growth factors, and opportunities
7.2.2 Market size analysis, by region, 2020-2027
7.2.3 Market share analysis, by country, 2020-2027
7.3 Risk Analytics and Fraud Detection
7.3.1 Definition, key trends, growth factors, and opportunities
7.3.2 Market size analysis, by region, 2020-2027
7.3.3 Market share analysis, by country, 2020-2027
7.4 Predictive Maintenance (Pattern recognition & generation
7.4.1 Definition, key trends, growth factors, and opportunities
7.4.2 Market size analysis, by region, 2020-2027
7.4.3 Market share analysis, by country, 2020-2027
7.5 anomaly detection)
7.5.1 Definition, key trends, growth factors, and opportunities
7.5.2 Market size analysis, by region, 2020-2027
7.5.3 Market share analysis, by country, 2020-2027
7.6 Augmented Reality (Pattern recognition & generation
7.6.1 Definition, key trends, growth factors, and opportunities
7.6.2 Market size analysis, by region, 2020-2027
7.6.3 Market share analysis, by country, 2020-2027
7.7 object recognition
7.7.1 Definition, key trends, growth factors, and opportunities
7.7.2 Market size analysis, by region, 2020-2027
7.7.3 Market share analysis, by country, 2020-2027
7.8 automated simulation
7.8.1 Definition, key trends, growth factors, and opportunities
7.8.2 Market size analysis, by region, 2020-2027
7.8.3 Market share analysis, by country, 2020-2027
7.9 prediction/recommendation)
7.9.1 Definition, key trends, growth factors, and opportunities
7.9.2 Market size analysis, by region, 2020-2027
7.9.3 Market share analysis, by country, 2020-2027
7.10 Network Analytics and Automated Traffic Management (SDN and NFV/ automated traffic generation/ etc.)
7.10.1 Definition, key trends, growth factors, and opportunities
7.10.2 Market size analysis, by region, 2020-2027
7.10.3 Market share analysis, by country, 2020-2027
7.11 Others
7.11.1 Definition, key trends, growth factors, and opportunities
7.11.2 Market size analysis, by region, 2020-2027
7.11.3 Market share analysis, by country, 2020-2027
7.12 Research Dive Exclusive Insights
7.12.1 Market attractiveness
7.12.2 Competition heatmap
-
8. Machine Learning As A Service (MLaaS) Market, By Call Type
8.1. Overview
8.2 Software Tools
8.2.1 Definition, key trends, growth factors, and opportunities
8.2.2 Market size analysis, by region, 2020-2027
8.2.3 Market share analysis, by country, 2020-2027
8.3 Data Storage and Archiving
8.3.1 Definition, key trends, growth factors, and opportunities
8.3.2 Market size analysis, by region, 2020-2027
8.3.3 Market share analysis, by country, 2020-2027
8.4 Cloud and Web-based Application Programming Interface (APIs)
8.4.1 Definition, key trends, growth factors, and opportunities
8.4.2 Market size analysis, by region, 2020-2027
8.4.3 Market share analysis, by country, 2020-2027
8.5 Others
8.5.1 Definition, key trends, growth factors, and opportunities
8.5.2 Market size analysis, by region, 2020-2027
8.5.3 Market share analysis, by country, 2020-2027
8.6 Research Dive Exclusive Insights
8.6.1 Market attractiveness
8.6.2 Competition heatmap
9. Machine Learning As A Service (MLaaS) Market, By Region
9.1 North America
9.1.1 U.S
9.1.1.1 Market size analysis, By Vertical, 2020-2027
9.1.1.2 Market size analysis, By Price , 2020-2027
9.1.1.3 Market size analysis, By Source, 2020-2027
9.1.1.4 Market size analysis, By Call Type, 2020-2027
9.1.2 Canada
9.1.2.1 Market size analysis, By Vertical, 2020-2027
9.1.2.2 Market size analysis, By Price , 2020-2027
9.1.2.3 Market size analysis, By Source, 2020-2027
9.1.2.4 Market size analysis, By Call Type, 2020-2027
9.1.3 Mexico
9.1.3.1 Market size analysis, By Vertical, 2020-2027
9.1.3.2 Market size analysis, By Price , 2020-2027
9.1.3.3 Market size analysis, By Source, 2020-2027
9.1.3.4 Market size analysis, By Call Type, 2020-2027
9.1.4 Research Dive Exclusive Insights
9.1.4.1 Market attractiveness
9.1.4.2 Competition heatmap
9.2 Europe
9.2.1 Germany
9.2.1.1 Market size analysis, By Vertical, 2020-2027
9.2.1.2 Market size analysis, By Price , 2020-2027
9.2.1.3 Market size analysis, By Source, 2020-2027
9.2.1.4 Market size analysis, By Call Type, 2020-2027
9.2.2 UK
9.2.2.1 Market size analysis, By Vertical, 2020-2027
9.2.2.2 Market size analysis, By Price , 2020-2027
9.2.2.3 Market size analysis, By Source, 2020-2027
9.2.2.4 Market size analysis, By Call Type, 2020-2027
9.2.3 France
9.2.3.1 Market size analysis, By Vertical, 2020-2027
9.2.3.2 Market size analysis, By Price , 2020-2027
9.2.3.3 Market size analysis, By Source, 2020-2027
9.2.3.4 Market size analysis, By Call Type, 2020-2027
9.2.4 Spain
9.2.4.1 Market size analysis, By Vertical, 2020-2027
9.2.4.2 Market size analysis, By Price , 2020-2027
9.2.4.3 Market size analysis, By Source, 2020-2027
9.2.4.4 Market size analysis, By Call Type, 2020-2027
9.2.5 Italy
9.2.5.1 Market size analysis, By Vertical, 2020-2027
9.2.5.2 Market size analysis, By Price , 2020-2027
9.2.5.3 Market size analysis, By Source, 2020-2027
9.2.5.4 Market size analysis, By Call Type, 2020-2027
9.2.6 Rest of Europe
9.2.6.1 Market size analysis, By Vertical, 2020-2027
9.2.6.2 Market size analysis, By Price , 2020-2027
9.2.6.3 Market size analysis, By Source, 2020-2027
9.2.6.4 Market size analysis, By Call Type, 2020-2027
9.2.7 Research Dive Exclusive Insights
9.2.7.1 Market attractiveness
9.2.7.2 Competition heatmap
9.3 Asia-Pacific
9.3.1 China
9.3.1.1 Market size analysis, By Vertical, 2020-2027
9.3.1.2 Market size analysis, By Price , 2020-2027
9.3.1.3 Market size analysis, By Source, 2020-2027
9.3.1.4 Market size analysis, By Call Type, 2020-2027
9.3.2 Japan
9.3.2.1 Market size analysis, By Vertical, 2020-2027
9.3.2.2 Market size analysis, By Price , 2020-2027
9.3.2.3 Market size analysis, By Source, 2020-2027
9.3.2.4 Market size analysis, By Call Type, 2020-2027
9.3.3 India
9.3.3.1 Market size analysis, By Vertical, 2020-2027
9.3.3.2 Market size analysis, By Price , 2020-2027
9.3.3.3 Market size analysis, By Source, 2020-2027
9.3.3.4 Market size analysis, By Call Type, 2020-2027
9.3.4 Australia
9.3.4.1 Market size analysis, By Vertical, 2020-2027
9.3.4.2 Market size analysis, By Price , 2020-2027
9.3.4.3 Market size analysis, By Source, 2020-2027
9.3.4.4 Market size analysis, By Call Type, 2020-2027
9.3.5 South Korea
9.3.5.1 Market size analysis, By Vertical, 2020-2027
9.3.5.2 Market size analysis, By Price , 2020-2027
9.3.5.3 Market size analysis, By Source, 2020-2027
9.3.5.4 Market size analysis, By Call Type, 2020-2027
9.3.6 Rest of Asia-Pacific
9.3.6.1 Market size analysis, By Vertical, 2020-2027
9.3.6.2 Market size analysis, By Price , 2020-2027
9.3.6.3 Market size analysis, By Source, 2020-2027
9.3.6.4 Market size analysis, By Call Type, 2020-2027
9.3.7 Research Dive Exclusive Insights
9.3.7.1 Market attractiveness
9.3.7.2 Competition heatmap
9.4 LAMEA
9.4.1 Brazil
9.4.1.1 Market size analysis, By Vertical, 2020-2027
9.4.1.2 Market size analysis, By Price , 2020-2027
9.4.1.3 Market size analysis, By Source, 2020-2027
9.4.1.4 Market size analysis, By Call Type, 2020-2027
9.4.2 Saudi Arabia
9.4.2.1 Market size analysis, By Vertical, 2020-2027
9.4.2.2 Market size analysis, By Price , 2020-2027
9.4.2.3 Market size analysis, By Source, 2020-2027
9.4.2.4 Market size analysis, By Call Type, 2020-2027
9.4.3 UAE
9.4.3.1 Market size analysis, By Vertical, 2020-2027
9.4.3.2 Market size analysis, By Price , 2020-2027
9.4.3.3 Market size analysis, By Source, 2020-2027
9.4.3.4 Market size analysis, By Call Type, 2020-2027
9.4.4 South Africa
9.4.4.1 Market size analysis, By Vertical, 2020-2027
9.4.4.2 Market size analysis, By Price , 2020-2027
9.4.4.3 Market size analysis, By Source, 2020-2027
9.4.4.4 Market size analysis, By Call Type, 2020-2027
9.4.5 Rest of LAMEA
9.4.5.1 Market size analysis, By Vertical, 2020-2027
9.4.5.2 Market size analysis, By Price , 2020-2027
9.4.5.3 Market size analysis, By Source, 2020-2027
9.4.5.4 Market size analysis, By Call Type, 2020-2027
9.4.6 Research Dive Exclusive Insights
9.4.6.1 Market attractiveness
9.4.6.2 Competition heatmap
10. Competitive Landscape
10.1 Top winning strategies, 2020-2027
10.1.1 By strategy
10.1.2 By year
10.2 Strategic overview
10.3 Market share analysis, 2020-2027
11. Company Profiles
11.1 Microsoft (Washington
11.1.1 Overview
11.1.2 Business segments
11.1.3 Product portfolio
11.1.4 Financial performance
11.1.5 Recent developments
11.1.6 SWOT analysis
11.2 US)
11.2.1 Overview
11.2.2 Business segments
11.2.3 Product portfolio
11.2.4 Financial performance
11.2.5 Recent developments
11.2.6 SWOT analysis
11.3 Amazon Web Services (Washington
11.3.1 Overview
11.3.2 Business segments
11.3.3 Product portfolio
11.3.4 Financial performance
11.3.5 Recent developments
11.3.6 SWOT analysis
11.4 US)
11.4.1 Overview
11.4.2 Business segments
11.4.3 Product portfolio
11.4.4 Financial performance
11.4.5 Recent developments
11.4.6 SWOT analysis
11.5 Hewlett Packard Enterprises (California
11.5.1 Overview
11.5.2 Business segments
11.5.3 Product portfolio
11.5.4 Financial performance
11.5.5 Recent developments
11.5.6 SWOT analysis
11.6 US)
11.6.1 Overview
11.6.2 Business segments
11.6.3 Product portfolio
11.6.4 Financial performance
11.6.5 Recent developments
11.6.6 SWOT analysis
11.7 Google
11.7.1 Overview
11.7.2 Business segments
11.7.3 Product portfolio
11.7.4 Financial performance
11.7.5 Recent developments
11.7.6 SWOT analysis
11.8 Inc.(California
11.8.1 Overview
11.8.2 Business segments
11.8.3 Product portfolio
11.8.4 Financial performance
11.8.5 Recent developments
11.8.6 SWOT analysis
11.9 US)
11.9.1 Overview
11.9.2 Business segments
11.9.3 Product portfolio
11.9.4 Financial performance
11.9.5 Recent developments
11.9.6 SWOT analysis
11.10 BigML Inc. (Oregon
11.10.1 Overview
11.10.2 Business segments
11.10.3 Product portfolio
11.10.4 Financial performance
11.10.5 Recent developments
11.10.6 SWOT analysis
11.11 US)
11.11.1 Overview
11.11.2 Business segments
11.11.3 Product portfolio
11.11.4 Financial performance
11.11.5 Recent developments
11.11.6 SWOT analysis
11.12 FICO(California
11.12.1 Overview
11.12.2 Business segments
11.12.3 Product portfolio
11.12.4 Financial performance
11.12.5 Recent developments
11.12.6 SWOT analysis
11.13 US)
11.13.1 Overview
11.13.2 Business segments
11.13.3 Product portfolio
11.13.4 Financial performance
11.13.5 Recent developments
11.13.6 SWOT analysis
11.14 IBM Corporation (New York
11.14.1 Overview
11.14.2 Business segments
11.14.3 Product portfolio
11.14.4 Financial performance
11.14.5 Recent developments
11.14.6 SWOT analysis
11.15 US)
11.15.1 Overview
11.15.2 Business segments
11.15.3 Product portfolio
11.15.4 Financial performance
11.15.5 Recent developments
11.15.6 SWOT analysis
11.16 AT&T (Dallas
11.16.1 Overview
11.16.2 Business segments
11.16.3 Product portfolio
11.16.4 Financial performance
11.16.5 Recent developments
11.16.6 SWOT analysis
11.17 US)
11.17.1 Overview
11.17.2 Business segments
11.17.3 Product portfolio
11.17.4 Financial performance
11.17.5 Recent developments
11.17.6 SWOT analysis
11.18 Fuzzy.ai (Montreal
11.18.1 Overview
11.18.2 Business segments
11.18.3 Product portfolio
11.18.4 Financial performance
11.18.5 Recent developments
11.18.6 SWOT analysis
11.19 Canada)
11.19.1 Overview
11.19.2 Business segments
11.19.3 Product portfolio
11.19.4 Financial performance
11.19.5 Recent developments
11.19.6 SWOT analysis
11.20 Yottamine Analytics (Washington
11.20.1 Overview
11.20.2 Business segments
11.20.3 Product portfolio
11.20.4 Financial performance
11.20.5 Recent developments
11.20.6 SWOT analysis
11.21 US)
11.21.1 Overview
11.21.2 Business segments
11.21.3 Product portfolio
11.21.4 Financial performance
11.21.5 Recent developments
11.21.6 SWOT analysis
11.22 Ersatz Labs (California
11.22.1 Overview
11.22.2 Business segments
11.22.3 Product portfolio
11.22.4 Financial performance
11.22.5 Recent developments
11.22.6 SWOT analysis
11.23 US)
11.23.1 Overview
11.23.2 Business segments
11.23.3 Product portfolio
11.23.4 Financial performance
11.23.5 Recent developments
11.23.6 SWOT analysis
11.24 Sift-Science (California
11.24.1 Overview
11.24.2 Business segments
11.24.3 Product portfolio
11.24.4 Financial performance
11.24.5 Recent developments
11.24.6 SWOT analysis
11.25 US)
11.25.1 Overview
11.25.2 Business segments
11.25.3 Product portfolio
11.25.4 Financial performance
11.25.5 Recent developments
11.25.6 SWOT analysis
Personalize this research
- Triangulate with your own data
- Request your format and definition
- Get a deeper dive on a specific application, geography, customer or competitor
- + 1-888-961-4454 Toll - Free
- support@researchdive.com
