Machine learning as a service (MLaaS) includes wide-ranging services and solutions as well as techniques correlated to artificial intelligence (AI). These execute statistical analysis of input data to comprehend its current or future connection and performance. Machine learning leverage an enormous amount of input data for delivering enhanced analytical output while optimizing workflow for diverse industry verticals. Machine learning as a service incorporates a range of services offering machine learning tools via cloud computing services.
MARKET DYNAMICS
The rising growth of IT expenditure in developing nations, as well as advancements in technology for workflow optimization, is expected to propel the growth of Machine learning as a service market. Furthermore, the increase in adoption of cloud-based solutions, development related to AI as well as cognitive computing, along with increasing adoption of prediction solutions fuel the machine learning as a service market. However, the lack of skilled professionals is anticipated to hamper the machine learning as a service market during the forecast period. Moreover, rising application areas for machine learning as a service is projected to create opportunities for the growth of machine learning as a service market.
MARKET SCOPE
The "Global Machine Learning as a Service Market Analysis to 2031" is a specialized and in-depth study of the machine learning as a service industry with a special focus on the global market trend analysis. The report aims to provide an overview of machine learning as a service market with detailed market segmentation by service type, offerings, end-user industry and geography. The global machine learning as a service market is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the leading machine learning as a service market players and offers key trends and opportunities in the market.
MARKET SEGMENTATION
The global Machine Learning as a Service market is segmented on the basis of service type, offerings, and end-user industry. Based on the service type, the market is bifurcated into professional and managed service. Further, the offerings segment of machine learning as a service market is classified into hardware and software. Based on end-user industry, the machine learning as a service market is segmented into IT and telecom, manufacturing, energy and power, and others.
REGIONAL FRAMEWORK
The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides an overview and forecast of the global machine learning as a service market based on various segments. It also provides market size and forecast estimates from the year 2021 to 2031 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East & Africa (MEA), and South America (SAM). The machine learning as a service market by each region is later sub-segmented by respective countries and segments. The report covers the analysis and forecast of 18 countries globally along with the current trend and opportunities prevailing in the region.
The report analyzes factors affecting the machine learning as a service market from both demand and supply side and further evaluates market dynamics affecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA, and SAM after evaluating political, economic, social and technological factors affecting the machine learning as a service market in these regions.
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The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides an overview and forecast of the global machine learning as a service market based on various segments. It also provides market size and forecast estimates from the year 2021 to 2031 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East & Africa (MEA), and South America (SAM). The machine learning as a service market by each region is later sub-segmented by respective countries and segments. The report covers the analysis and forecast of 18 countries globally along with the current trend and opportunities prevailing in the region.
The report analyzes factors affecting the machine learning as a service market from both demand and supply side and further evaluates market dynamics affecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA, and SAM after evaluating political, economic, social and technological factors affecting the machine learning as a service market in these regions.
MARKET PLAYERS
The reports cover key developments in the machine learning as a service market as organic and inorganic growth strategies. Various companies are focusing on organic growth strategies such as product launches, product approvals and others such as patents and events. Inorganic growth strategies activities witnessed in the market were acquisitions, and partnership & collaborations. These activities have paved the way for the expansion of business and customer base of market players. The market payers from machine learning as a service market are anticipated to lucrative growth opportunities in the future with the rising demand for machine learning as a service in the global market. Below mentioned is the list of few companies engaged in the machine learning as a service market.
The report also includes the profiles of key machine learning as a service companies along with their SWOT analysis and market strategies. In addition, the report focuses on leading industry players with information such as company profiles, components, and services offered, financial information of the last 3 years, the key development in the past five years.
- Amazon Web Services
- BigML, Inc.
- Fair Isaac Corporation
- Google Inc.
- Hewlett Packard Enterprise
- IBM Corporation
- Iflowsoft Solutions Inc.
- Microsoft Corporation
- SAS Institute Inc.
- Yottamine Analytics
The Insight Partner's dedicated research and analysis team consist of experienced professionals with advanced statistical expertise and offer various customization options in the existing study.
- Sample PDF showcases the content structure and the nature of the information with qualitative and quantitative analysis.
- Request discounts available for Start-Ups & Universities
Report Coverage
Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends
Segment Covered
This text is related
to segments covered.
Regional Scope
North America, Europe, Asia Pacific, Middle East & Africa, South & Central America
Country Scope
This text is related
to country scope.
1. INTRODUCTION
1.1. SCOPE OF THE STUDY
1.2. THE INSIGHT PARTNERS RESEARCH REPORT GUIDANCE
1.3. MARKET SEGMENTATION
1.3.1 Machine Learning As A Service Market - By Service Type
1.3.2 Machine Learning As A Service Market - By Offerings
1.3.3 Machine Learning As A Service Market - By End-user Industry
1.3.4 Machine Learning As A Service Market - By Region
1.3.4.1 By Country
2. KEY TAKEAWAYS
3. RESEARCH METHODOLOGY
4. MACHINE LEARNING AS A SERVICE MARKET LANDSCAPE
4.1. OVERVIEW
4.2. PEST ANALYSIS
4.2.1 North America - Pest Analysis
4.2.2 Europe - Pest Analysis
4.2.3 Asia-Pacific - Pest Analysis
4.2.4 Rest of the World - Pest Analysis
4.3. ECOSYSTEM ANALYSIS
4.4. EXPERT OPINIONS
5. MACHINE LEARNING AS A SERVICE MARKET - KEY MARKET DYNAMICS
5.1. KEY MARKET DRIVERS
5.2. KEY MARKET RESTRAINTS
5.3. KEY MARKET OPPORTUNITIES
5.4. FUTURE TRENDS
5.5. IMPACT ANALYSIS OF DRIVERS, RESTRAINTS & EXPECTED INFLUENCE OF COVID-19 PANDEMIC
6. MACHINE LEARNING AS A SERVICE MARKET - GLOBAL MARKET ANALYSIS
6.1. MACHINE LEARNING AS A SERVICE - GLOBAL MARKET OVERVIEW
6.2. MACHINE LEARNING AS A SERVICE - GLOBAL MARKET AND FORECAST TO 2028
6.3. MARKET POSITIONING/MARKET SHARE
7. MACHINE LEARNING AS A SERVICE MARKET - REVENUE AND FORECASTS TO 2028 - SERVICE TYPE
7.1. OVERVIEW
7.2. SERVICE TYPE MARKET FORECASTS AND ANALYSIS
7.3. PROFESSIONAL SERVICE
7.3.1. Overview
7.3.2. Professional Service Market Forecast and Analysis
7.4. MANAGED SERVICE
7.4.1. Overview
7.4.2. Managed Service Market Forecast and Analysis
8. MACHINE LEARNING AS A SERVICE MARKET - REVENUE AND FORECASTS TO 2028 - OFFERINGS
8.1. OVERVIEW
8.2. OFFERINGS MARKET FORECASTS AND ANALYSIS
8.3. HARDWARE
8.3.1. Overview
8.3.2. Hardware Market Forecast and Analysis
8.4. SOFTWARE
8.4.1. Overview
8.4.2. Software Market Forecast and Analysis
9. MACHINE LEARNING AS A SERVICE MARKET - REVENUE AND FORECASTS TO 2028 - END-USER INDUSTRY
9.1. OVERVIEW
9.2. END-USER INDUSTRY MARKET FORECASTS AND ANALYSIS
9.3. IT AND TELECOM
9.3.1. Overview
9.3.2. IT and Telecom Market Forecast and Analysis
9.4. MANUFACTURING
9.4.1. Overview
9.4.2. Manufacturing Market Forecast and Analysis
9.5. ENERGY AND POWER
9.5.1. Overview
9.5.2. Energy and Power Market Forecast and Analysis
9.6. OTHERS
9.6.1. Overview
9.6.2. Others Market Forecast and Analysis
10. MACHINE LEARNING AS A SERVICE MARKET REVENUE AND FORECASTS TO 2028 - GEOGRAPHICAL ANALYSIS
10.1. NORTH AMERICA
10.1.1 North America Machine Learning As A Service Market Overview
10.1.2 North America Machine Learning As A Service Market Forecasts and Analysis
10.1.3 North America Machine Learning As A Service Market Forecasts and Analysis - By Service Type
10.1.4 North America Machine Learning As A Service Market Forecasts and Analysis - By Offerings
10.1.5 North America Machine Learning As A Service Market Forecasts and Analysis - By End-user Industry
10.1.6 North America Machine Learning As A Service Market Forecasts and Analysis - By Countries
10.1.6.1 United States Machine Learning As A Service Market
10.1.6.1.1 United States Machine Learning As A Service Market by Service Type
10.1.6.1.2 United States Machine Learning As A Service Market by Offerings
10.1.6.1.3 United States Machine Learning As A Service Market by End-user Industry
10.1.6.2 Canada Machine Learning As A Service Market
10.1.6.2.1 Canada Machine Learning As A Service Market by Service Type
10.1.6.2.2 Canada Machine Learning As A Service Market by Offerings
10.1.6.2.3 Canada Machine Learning As A Service Market by End-user Industry
10.1.6.3 Mexico Machine Learning As A Service Market
10.1.6.3.1 Mexico Machine Learning As A Service Market by Service Type
10.1.6.3.2 Mexico Machine Learning As A Service Market by Offerings
10.1.6.3.3 Mexico Machine Learning As A Service Market by End-user Industry
10.2. EUROPE
10.2.1 Europe Machine Learning As A Service Market Overview
10.2.2 Europe Machine Learning As A Service Market Forecasts and Analysis
10.2.3 Europe Machine Learning As A Service Market Forecasts and Analysis - By Service Type
10.2.4 Europe Machine Learning As A Service Market Forecasts and Analysis - By Offerings
10.2.5 Europe Machine Learning As A Service Market Forecasts and Analysis - By End-user Industry
10.2.6 Europe Machine Learning As A Service Market Forecasts and Analysis - By Countries
10.2.6.1 Germany Machine Learning As A Service Market
10.2.6.1.1 Germany Machine Learning As A Service Market by Service Type
10.2.6.1.2 Germany Machine Learning As A Service Market by Offerings
10.2.6.1.3 Germany Machine Learning As A Service Market by End-user Industry
10.2.6.2 France Machine Learning As A Service Market
10.2.6.2.1 France Machine Learning As A Service Market by Service Type
10.2.6.2.2 France Machine Learning As A Service Market by Offerings
10.2.6.2.3 France Machine Learning As A Service Market by End-user Industry
10.2.6.3 Italy Machine Learning As A Service Market
10.2.6.3.1 Italy Machine Learning As A Service Market by Service Type
10.2.6.3.2 Italy Machine Learning As A Service Market by Offerings
10.2.6.3.3 Italy Machine Learning As A Service Market by End-user Industry
10.2.6.4 United Kingdom Machine Learning As A Service Market
10.2.6.4.1 United Kingdom Machine Learning As A Service Market by Service Type
10.2.6.4.2 United Kingdom Machine Learning As A Service Market by Offerings
10.2.6.4.3 United Kingdom Machine Learning As A Service Market by End-user Industry
10.2.6.5 Russia Machine Learning As A Service Market
10.2.6.5.1 Russia Machine Learning As A Service Market by Service Type
10.2.6.5.2 Russia Machine Learning As A Service Market by Offerings
10.2.6.5.3 Russia Machine Learning As A Service Market by End-user Industry
10.2.6.6 Rest of Europe Machine Learning As A Service Market
10.2.6.6.1 Rest of Europe Machine Learning As A Service Market by Service Type
10.2.6.6.2 Rest of Europe Machine Learning As A Service Market by Offerings
10.2.6.6.3 Rest of Europe Machine Learning As A Service Market by End-user Industry
10.3. ASIA-PACIFIC
10.3.1 Asia-Pacific Machine Learning As A Service Market Overview
10.3.2 Asia-Pacific Machine Learning As A Service Market Forecasts and Analysis
10.3.3 Asia-Pacific Machine Learning As A Service Market Forecasts and Analysis - By Service Type
10.3.4 Asia-Pacific Machine Learning As A Service Market Forecasts and Analysis - By Offerings
10.3.5 Asia-Pacific Machine Learning As A Service Market Forecasts and Analysis - By End-user Industry
10.3.6 Asia-Pacific Machine Learning As A Service Market Forecasts and Analysis - By Countries
10.3.6.1 Australia Machine Learning As A Service Market
10.3.6.1.1 Australia Machine Learning As A Service Market by Service Type
10.3.6.1.2 Australia Machine Learning As A Service Market by Offerings
10.3.6.1.3 Australia Machine Learning As A Service Market by End-user Industry
10.3.6.2 China Machine Learning As A Service Market
10.3.6.2.1 China Machine Learning As A Service Market by Service Type
10.3.6.2.2 China Machine Learning As A Service Market by Offerings
10.3.6.2.3 China Machine Learning As A Service Market by End-user Industry
10.3.6.3 India Machine Learning As A Service Market
10.3.6.3.1 India Machine Learning As A Service Market by Service Type
10.3.6.3.2 India Machine Learning As A Service Market by Offerings
10.3.6.3.3 India Machine Learning As A Service Market by End-user Industry
10.3.6.4 Japan Machine Learning As A Service Market
10.3.6.4.1 Japan Machine Learning As A Service Market by Service Type
10.3.6.4.2 Japan Machine Learning As A Service Market by Offerings
10.3.6.4.3 Japan Machine Learning As A Service Market by End-user Industry
10.3.6.5 South Korea Machine Learning As A Service Market
10.3.6.5.1 South Korea Machine Learning As A Service Market by Service Type
10.3.6.5.2 South Korea Machine Learning As A Service Market by Offerings
10.3.6.5.3 South Korea Machine Learning As A Service Market by End-user Industry
10.3.6.6 Rest of Asia-Pacific Machine Learning As A Service Market
10.3.6.6.1 Rest of Asia-Pacific Machine Learning As A Service Market by Service Type
10.3.6.6.2 Rest of Asia-Pacific Machine Learning As A Service Market by Offerings
10.3.6.6.3 Rest of Asia-Pacific Machine Learning As A Service Market by End-user Industry
10.4. REST OF THE WORLD
10.4.1 Rest of the World Machine Learning As A Service Market Overview
10.4.2 Rest of the World Machine Learning As A Service Market Forecasts and Analysis
10.4.3 Rest of the World Machine Learning As A Service Market Forecasts and Analysis - By Service Type
10.4.4 Rest of the World Machine Learning As A Service Market Forecasts and Analysis - By Offerings
10.4.5 Rest of the World Machine Learning As A Service Market Forecasts and Analysis - By End-user Industry
10.4.6 Rest of the World Machine Learning As A Service Market Forecasts and Analysis - By Countries
10.4.6.1 MEA Machine Learning As A Service Market
10.4.6.1.1 MEA Machine Learning As A Service Market by Service Type
10.4.6.1.2 MEA Machine Learning As A Service Market by Offerings
10.4.6.1.3 MEA Machine Learning As A Service Market by End-user Industry
10.4.6.2 SAM Machine Learning As A Service Market
10.4.6.2.1 SAM Machine Learning As A Service Market by Service Type
10.4.6.2.2 SAM Machine Learning As A Service Market by Offerings
10.4.6.2.3 SAM Machine Learning As A Service Market by End-user Industry
11. INDUSTRY LANDSCAPE
11.1. MERGERS AND ACQUISITIONS
11.2. AGREEMENTS, COLLABORATIONS AND JOIN VENTURES
11.3. NEW PRODUCT LAUNCHES
11.4. EXPANSIONS AND OTHER STRATEGIC DEVELOPMENTS
12. MACHINE LEARNING AS A SERVICE MARKET, KEY COMPANY PROFILES
12.1. AMAZON WEB SERVICES
12.1.1. Key Facts
12.1.2. Business Description
12.1.3. Products and Services
12.1.4. Financial Overview
12.1.5. SWOT Analysis
12.1.6. Key Developments
12.2. BIGML, INC.
12.2.1. Key Facts
12.2.2. Business Description
12.2.3. Products and Services
12.2.4. Financial Overview
12.2.5. SWOT Analysis
12.2.6. Key Developments
12.3. FAIR ISAAC CORPORATION
12.3.1. Key Facts
12.3.2. Business Description
12.3.3. Products and Services
12.3.4. Financial Overview
12.3.5. SWOT Analysis
12.3.6. Key Developments
12.4. GOOGLE INC.
12.4.1. Key Facts
12.4.2. Business Description
12.4.3. Products and Services
12.4.4. Financial Overview
12.4.5. SWOT Analysis
12.4.6. Key Developments
12.5. HEWLETT PACKARD ENTERPRISE
12.5.1. Key Facts
12.5.2. Business Description
12.5.3. Products and Services
12.5.4. Financial Overview
12.5.5. SWOT Analysis
12.5.6. Key Developments
12.6. IBM CORPORATION
12.6.1. Key Facts
12.6.2. Business Description
12.6.3. Products and Services
12.6.4. Financial Overview
12.6.5. SWOT Analysis
12.6.6. Key Developments
12.7. IFLOWSOFT SOLUTIONS INC.
12.7.1. Key Facts
12.7.2. Business Description
12.7.3. Products and Services
12.7.4. Financial Overview
12.7.5. SWOT Analysis
12.7.6. Key Developments
12.8. MICROSOFT CORPORATION
12.8.1. Key Facts
12.8.2. Business Description
12.8.3. Products and Services
12.8.4. Financial Overview
12.8.5. SWOT Analysis
12.8.6. Key Developments
12.9. SAS INSTITUTE INC.
12.9.1. Key Facts
12.9.2. Business Description
12.9.3. Products and Services
12.9.4. Financial Overview
12.9.5. SWOT Analysis
12.9.6. Key Developments
12.10. YOTTAMINE ANALYTICS
12.10.1. Key Facts
12.10.2. Business Description
12.10.3. Products and Services
12.10.4. Financial Overview
12.10.5. SWOT Analysis
12.10.6. Key Developments
13. APPENDIX
13.1. ABOUT THE INSIGHT PARTNERS
13.2. GLOSSARY OF TERMS
1. Amazon Web Services
2. BigML, Inc.
3. Fair Isaac Corporation
4. Google Inc.
5. Hewlett Packard Enterprise
6. IBM Corporation
7. Iflowsoft Solutions Inc.
8. Microsoft Corporation
9. SAS Institute Inc.
10. Yottamine Analytics
The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.
- Data Collection and Secondary Research:
As a market research and consulting firm operating from a decade, we have published many reports and advised several clients across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.
Several associations trade associates, technical forums, institutes, societies and organizations are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in the last 3 years are scrutinized and analyzed to understand the current market trends.
- Primary Research:
The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.
For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/Sales Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.
A typical research interview fulfils the following functions:
- Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
- Validates and strengthens in-house secondary research findings
- Develops the analysis team’s expertise and market understanding
Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:
- Industry participants: VPs, business development managers, market intelligence managers and national sales managers
- Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.
Below is the breakup of our primary respondents by company, designation, and region:
Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.
- Data Analysis:
Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.
- 3.1 Macro-Economic Factor Analysis:
We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.
- 3.2 Country Level Data:
Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.
- 3.3 Company Profile:
The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.
- 3.4 Developing Base Number:
Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.
- Data Triangulation and Final Review:
The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.
We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.
We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.
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