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Machine Learning as a Service (MLaaS) Market, By Component (Software Tools, Services), Organization Size (SME, Large), Application (Marketing, Risk Analytics & Fraud Detection, Predictive Maintenance, and Network Analytics): Global Forecast to 2027

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    Report

  • 220 Pages
  • July 2021
  • Region: Global
  • MarketDigits
  • ID: 5411701
The Machine Learning as a Service (MLaaS) Market size is estimated to grow at a CAGR of 43% during the forecast year from 2021 to 2027.

The latest report on Machine Learning as a Service (MLaaS) Market understands market size estimates, forecasts, market shares, competition analysis, along with industry trends of Machine Learning as a Service with emphasis on market timelines and technology roadmaps analysis.

The Machine Learning as a Service (MLaaS) Market is segmented by component, service, organisation size, application and region. The research covers the current and historic Machine Learning as a Service (MLaaS) Market size and its growth trend with company outline of Key players /manufacturers: Microsoft Corporation, IBM Corporation, Google LLC, SAS Institute Inc., Fair Isaac Corporation (FICO), Hewlett Packard Enterprise Company, Yottamine Analytics LLC, Amazon Web Services Inc., BigML Inc., Iflowsoft Solutions Inc., PurePredictive Inc., Sift Science Inc., H2O.ai Inc. among others.

Analysis of the global market with special focus on high growth application in each vertical and fast-growing market segments. It includes detailed competitive landscape with identification of the key players with respect to each type of market, in-depth market share analysis with individual revenue, market shares, and top players rankings. Impact analysis of the market dynamics with factors currently driving and restraining the growth of the market, along with their impact in the short, medium, and long-term landscapes. Competitive intelligence from the company profiles, key player strategies, game-changing developments such as product launches and acquisitions.

The objective of this study is to identify the market opportunities and estimate market size by segments and countries for last few years and to forecast the values to the next five years. The report incorporates both the qualitative and quantitative aspects of the industry with respect to each of the regions and countries involved in the study. The report also covers qualitative analysis on the market, by incorporating complete pricing and cost analysis of components & products, Porter’s analysis and PEST (Political, Economic, Social & Technological factor) analysis of the market. The report also profiles all major companies active in this field.

Market Analysis and Insights: Machine Learning as a Service (MLaaS) Market Analysis & Insights

Market Scope and Market Size

Machine Learning as a Service (MLaaS) Market is segmented by component, service, organisation size, application and region. Players, stakeholders, and other participants in the global Machine Learning as a Service (MLaaS) Market will be able to gain a strong position as this report will surely benefit their marketing strategies. The market analysis focuses on revenue and forecast by region/countries and by application in terms of revenue and forecast for the period 2016-2027.

Report further studies the market development status and future and Machine Learning as a Service (MLaaS) Market trend across the world. Also, it splits Machine Learning as a Service (MLaaS) Market by component, service, organisation size, application and region to deep dive research and reveals market profile and prospects.

Major Classifications are as follows:

By Components

  • Software Tools
  • Data Storage and Archiving
  • Modeler and Processing
  • Multiplayer Perceptron (MLP)
  • K-Nearest Neighbors (KMN)
  • Support Vector Regressions (SVR)
Others(Decision Tree(DT),
  • Principle Component Analysis(PCA), Principle Component Analysis(PCA)
  • k- Means Algorithms, Reinforcement Learning, and Bayesian Statistics))
  • Cloud and Web-based Application Programming Interface (APIs)
  • Others (Model Validator, Decision Report/Predictor/Training, and Report Storage)

By Service:

  • Professional Services
  • Managed Services

By Enterprise Applications:

  • 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

By Organization Size:

  • SMEs
  • Large Enterprises

By Region

  • North America
  • US
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Rest of Europe
  • Asia-Pacific (APAC)
  • China
  • Japan
  • India
  • Rest of APAC
  • Rest of the World (RoW)
  • Middle East
  • Africa
  • South America

Reason to purchase this Machine Learning as a Service Market Report:

Determine prospective investment areas based on a detailed trend analysis of the global Machine Learning as a Service market over the next years.

Gain an in-depth understanding of the underlying factors driving demand for different and Machine Learning as a Service market segments in the top spending countries across the world and identify the opportunities offered by each of them.

Strengthen your understanding of the market in terms of demand drivers, industry trends, and the latest technological developments, among others.

Identify the major channels that are driving the global Machine Learning as a Service market, providing a clear picture of future opportunities that can be tapped, and resulting in revenue expansion.

Channelize resources by focusing on the ongoing programs that are being undertaken by the different countries within the global Machine Learning as a Service market.

Make correct business decisions based on a thorough analysis of the total competitive landscape of the sector with detailed profiles of the top Machine Learning as a Service market providers around the world which include information about their products, alliances, recent contract wins and financial analysis wherever available.


This product will be delivered within 3-5 business days.

Table of Contents

1. EXECUTIVE SUMMARY
2. INTRODUCTION
2.1. Key Takeaways
2.2. Report Description
2.3. Market Scope & Definition
2.4. Stakeholders
2.5. Research Methodology
2.5.1. Market Size
2.5.2. Key Data Points From Primary Sources
2.5.3. Key Data Points From Secondary Sources
2.5.4. List Of Primary Sources
2.5.5. List Of Secondary Sources
3. MARKET OVERVIEW
3.1. Industry Segmentation
3.2. Market Trends Analysis
3.3. Major Funding & Investments
3.4. Market Dynamics
3.4.1. Drivers
3.4.2. Restraints
3.4.3. Opportunities
3.5. Value Chain Analysis
3.6. Pricing Analysis
4. IMPACT OF COVID-19 ON MACHINE LEARNING AS A SERVICE MARKET
4.1. Impact Of Covid-19 On Machine Learning as a Service Market, By Component
4.2. Impact Of Covid-19 On Machine Learning as a Service Market, By Service
4.3. Impact Of Covid-19 On Machine Learning as a Service Market, By Organisation size
4.4. Impact Of Covid-19 On Machine Learning as a Service Market, By Application
4.5. Impact of Covid-19 On Machine Learning as a Service Market, By Geography
5. MACHINE LEARNING AS A SERVICE MARKET, BY COMPONENT
5.1. Introduction
5.2. Software Tools
5.3. Data Storage and Archiving
5.3.1. Modeler and Processing
5.3.2. Multiplayer Perceptron (MLP)
5.3.3. K-Nearest Neighbors (KMN)
5.3.4. Support Vector Regressions (SVR)
5.3.5. Others(Decision Tree(DT),
5.3.5.1. Principle Component Analysis(PCA), Principle Component Analysis(PCA)
5.3.5.2. k- Means Algorithms, Reinforcement Learning, and Bayesian Statistics))
5.4. Cloud and Web-based Application Programming Interface (APIs)
5.5. Others (Model Validator, Decision Report/Predictor/Training, and Report Storage)
6. MACHINE LEARNING AS A SERVICE MARKET, BY SERVICE
6.1. Introduction
6.2. Professional Services
6.3. Managed Services
7. MACHINE LEARNING AS A SERVICE MARKET, BY ORGANISATION SIZE
7.1. Introduction
7.2. SMEs
7.3. Large Enterprises
8. MACHINE LEARNING AS A SERVICE MARKET, BY APPLICATION
8.1. Introduction
8.2. Marketing and Advertising.
8.3. Risk Analytics and Fraud Detection
8.4. Predictive Maintenance (Pattern recognition & generation, anomaly detection)
8.5. Augmented Reality (Pattern recognition & generation, object recognition, automated simulation, prediction/recommendation)
8.6. Network Analytics and Automated Traffic Management (SDN and NFV/ automated traffic generation/ etc.)
8.7. Others
9. MACHINE LEARNING AS A SERVICE MARKET, BY GEOGRAPHY
9.1. Introduction
9.2. North America
9.2.1. U.S.
9.2.2. Canada
9.3. Europe
9.3.1. Germany
9.3.2. U.K.
9.3.3. France
9.3.4. Rest of Europe
9.4. Asia Pacific
9.4.1. China
9.4.2. Japan
9.4.3. India
9.4.4. Rest Of Asia Pacific
9.5. Rest of the World
9.5.1. Middle East
9.5.2. Africa
9.5.3. Latin America
10. COMPETITIVE ANALYSIS
10.1. Introduction
10.2. Top Companies Ranking
10.3. Market Share Analysis
10.4. Recent Developments
10.4.1. New Product Launch
10.4.2. Mergers & Acquisitions
10.4.3. Collaborations, Partnerships & Agreements
10.4.4. Rewards & Recognition
11. COMPANY PROFILES
11.1. Microsoft Corporation
11.2. IBM Corporation
11.3. Google LLC
11.4. SAS Institute Inc.
11.5. Fair Isaac Corporation (FICO)
11.6. Hewlett Packard Enterprise Company
11.7. Yottamine Analytics LLC
11.8. Amazon Web Services Inc.
11.9. BigML Inc.
11.10. Iflowsoft Solutions Inc.
11.11. PurePredictive Inc.
11.12. Sift Science Inc.
11.13. H2O.ai Inc.

Companies Mentioned

  • Microsoft Corporation
  • IBM Corporation
  • Google LLC
  • SAS Institute Inc.
  • Fair Isaac Corporation (FICO)
  • Hewlett Packard Enterprise Company
  • Yottamine Analytics LLC
  • Amazon Web Services Inc.
  • BigML Inc.
  • Iflowsoft Solutions Inc.
  • PurePredictive Inc.
  • Sift Science Inc.
  • H2O.ai Inc