Global Machine Learning as a Service Market - Premium Insight, Competitive News Feed Analysis, Company Usability Profiles, Market Sizing & Forecasts to 2025
The Global Machine Learning as a Service Market is expected to grow from USD 6,185.23 Million in 2018 to USD 36,854.80 Million by the end of 2025 at a Compound Annual Growth Rate (CAGR) of 29.04%.
The positioning of the Global Machine Learning as a Service Market vendors in FPNV Positioning Matrix are determined by Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) and placed into four quadrants (F: Forefront, P: Pathfinders, N: Niche, and V: Vital).
The report deeply explores the recent significant developments by the leading vendors and innovation profiles in the Global Machine Learning as a Service Market including are Crunchbase Inc., Google LLC, H2O.ai., IBM, PREDICTRON LABS, Amazon Web Services, Inc., BigML, Inc., Fair Isaac Corporation., Microsoft Corporation, and Yottamine Analytics, LLC.
On the basis of Component, the Global Machine Learning as a Service Market is studied across Services and Software.
On the basis of Application, the Global Machine Learning as a Service Market is studied across Augmented & Virtual Reality, Fraud Detection & Risk Management, Marketing & Advertising, Predictive Analytics, and Security & Surveillance.
On the basis of End User, the Global Machine Learning as a Service Market is studied across BFSI, Healthcare & Life Sciences, Manufacturing, Retail, and Telecom.
For the detailed coverage of the study, the market has been geographically divided into the Americas, Asia-Pacific, and Europe, Middle East & Africa. The report provides details of qualitative and quantitative insights about the major countries in the region and taps the major regional developments in detail.
In the report, we have covered two proprietary models, the FPNV Positioning Matrix and Competitive Strategic Window. The FPNV Positioning Matrix analyses the competitive market place for the players in terms of product satisfaction and business strategy they adopt to sustain in the market. The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies. The Competitive Strategic Window helps the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. During a forecast period, it defines the optimal or favorable fit for the vendors to adopt successive merger and acquisitions strategies, geography expansion, research & development, new product introduction strategies to execute further business expansion and growth.
Research Methodology:
Our market forecasting is based on a market model derived from market connectivity, dynamics, and identified influential factors around which assumptions about the market are made. These assumptions are enlightened by fact-bases, put by primary and secondary research instruments, regressive analysis and an extensive connect with industry people. Market forecasting derived from in-depth understanding attained from future market spending patterns provides quantified insight to support your decision-making process. The interview is recorded, and the information gathered in put on the drawing board with the information collected through secondary research.
The report provides insights on the following pointers:
1. Market Penetration: Provides comprehensive information on sulfuric acid offered by the key players in the Global Machine Learning as a Service Market
2. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and new product developments in the Global Machine Learning as a Service Market
3. Market Development: Provides in-depth information about lucrative emerging markets and analyzes the markets for the Global Machine Learning as a Service Market
4. Market Diversification: Provides detailed information about new products launches, untapped geographies, recent developments, and investments in the Global Machine Learning as a Service Market
5. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, and manufacturing capabilities of the leading players in the Global Machine Learning as a Service Market
The report answers questions such as:
1. What is the market size of Machine Learning as a Service market in the Global?
2. What are the factors that affect the growth in the Global Machine Learning as a Service Market over the forecast period?
3. What is the competitive position in the Global Machine Learning as a Service Market?
4. Which are the best product areas to be invested in over the forecast period in the Global Machine Learning as a Service Market?
5. What are the opportunities in the Global Machine Learning as a Service Market?
6. What are the modes of entering the Global Machine Learning as a Service Market?
The positioning of the Global Machine Learning as a Service Market vendors in FPNV Positioning Matrix are determined by Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) and placed into four quadrants (F: Forefront, P: Pathfinders, N: Niche, and V: Vital).
The report deeply explores the recent significant developments by the leading vendors and innovation profiles in the Global Machine Learning as a Service Market including are Crunchbase Inc., Google LLC, H2O.ai., IBM, PREDICTRON LABS, Amazon Web Services, Inc., BigML, Inc., Fair Isaac Corporation., Microsoft Corporation, and Yottamine Analytics, LLC.
On the basis of Component, the Global Machine Learning as a Service Market is studied across Services and Software.
On the basis of Application, the Global Machine Learning as a Service Market is studied across Augmented & Virtual Reality, Fraud Detection & Risk Management, Marketing & Advertising, Predictive Analytics, and Security & Surveillance.
On the basis of End User, the Global Machine Learning as a Service Market is studied across BFSI, Healthcare & Life Sciences, Manufacturing, Retail, and Telecom.
For the detailed coverage of the study, the market has been geographically divided into the Americas, Asia-Pacific, and Europe, Middle East & Africa. The report provides details of qualitative and quantitative insights about the major countries in the region and taps the major regional developments in detail.
In the report, we have covered two proprietary models, the FPNV Positioning Matrix and Competitive Strategic Window. The FPNV Positioning Matrix analyses the competitive market place for the players in terms of product satisfaction and business strategy they adopt to sustain in the market. The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies. The Competitive Strategic Window helps the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. During a forecast period, it defines the optimal or favorable fit for the vendors to adopt successive merger and acquisitions strategies, geography expansion, research & development, new product introduction strategies to execute further business expansion and growth.
Research Methodology:
Our market forecasting is based on a market model derived from market connectivity, dynamics, and identified influential factors around which assumptions about the market are made. These assumptions are enlightened by fact-bases, put by primary and secondary research instruments, regressive analysis and an extensive connect with industry people. Market forecasting derived from in-depth understanding attained from future market spending patterns provides quantified insight to support your decision-making process. The interview is recorded, and the information gathered in put on the drawing board with the information collected through secondary research.
The report provides insights on the following pointers:
1. Market Penetration: Provides comprehensive information on sulfuric acid offered by the key players in the Global Machine Learning as a Service Market
2. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and new product developments in the Global Machine Learning as a Service Market
3. Market Development: Provides in-depth information about lucrative emerging markets and analyzes the markets for the Global Machine Learning as a Service Market
4. Market Diversification: Provides detailed information about new products launches, untapped geographies, recent developments, and investments in the Global Machine Learning as a Service Market
5. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, and manufacturing capabilities of the leading players in the Global Machine Learning as a Service Market
The report answers questions such as:
1. What is the market size of Machine Learning as a Service market in the Global?
2. What are the factors that affect the growth in the Global Machine Learning as a Service Market over the forecast period?
3. What is the competitive position in the Global Machine Learning as a Service Market?
4. Which are the best product areas to be invested in over the forecast period in the Global Machine Learning as a Service Market?
5. What are the opportunities in the Global Machine Learning as a Service Market?
6. What are the modes of entering the Global Machine Learning as a Service Market?
1. PREFACE
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders
2. RESEARCH & FORECASTING
2.1. Research Methodology
2.1.1. Research Process
2.1.2. Research Framework
2.1.3. Research Reliability & Validity
2.1.4. Research Assumptions
2.2. Forecasting Methodology
2.3. Research Outcome
2.3.1. 360iResearch Competitive Strategic Window
2.3.1.1. Leverage Zone
2.3.1.2. Vantage Zone
2.3.1.3. Speculative Zone
2.3.1.4. Bottleneck Zone
2.3.2. 360iResearch FPNV Positioning Matrix
2.3.2.1. 360iResearch Quadrants
2.3.2.1.1. Forefront
2.3.2.1.2. Pathfinders
2.3.2.1.3. Niche
2.3.2.1.4. Vital
2.3.2.2. Business Strategy
2.3.2.2.1. Business Growth
2.3.2.2.2. Industry Coverage
2.3.2.2.3. Financial Viability
2.3.2.2.4. Channel Support
2.3.2.3. Product Satisfaction
2.3.2.3.1. Value for Money
2.3.2.3.2. Ease of Use
2.3.2.3.3. Product Features
2.3.2.3.4. Customer Support
3. EXECUTIVE SUMMARY
3.1. Outlook in the Machine Learning as a Service Market
3.2. Opportunities in the Machine Learning as a Service Market
4. PREMIUM INSIGHT
4.1. Market Connectivity
4.2. Market Dynamics
4.2.1. Drivers
4.2.2. Restraints
4.2.3. Opportunities
4.2.4. Challenges
4.3. Porter’s Five Forces Analysis
4.3.1. Threat of New Entrants
4.3.2. Threat of Substitutes
4.3.3. Bargaining Power of Customers
4.3.4. Bargaining Power of Suppliers
4.3.5. Industry Rivalry
4.4. Industry Trends
5. GLOBAL MACHINE LEARNING AS A SERVICE MARKET, BY COMPONENT
5.1. Overview
5.2. Market Sizing & Forecasting
5.3. Services
5.4. Software
6. GLOBAL MACHINE LEARNING AS A SERVICE MARKET, BY APPLICATION
6.1. Overview
6.2. Market Sizing & Forecasting
6.3. Augmented & Virtual Reality
6.4. Fraud Detection & Risk Management
6.5. Marketing & Advertising
6.6. Predictive Analytics
6.7. Security & Surveillance
7. GLOBAL MACHINE LEARNING AS A SERVICE MARKET, BY END USER
7.1. Overview
7.2. Market Sizing & Forecasting
7.3. BFSI
7.4. Healthcare & Life Sciences
7.5. Manufacturing
7.6. Retail
7.7. Telecom
8. GLOBAL MACHINE LEARNING AS A SERVICE MARKET, BY GEOGRAPHY
8.1. Overview
8.2. Market Sizing & Forecasting
8.3. Americas
8.3.1. Overview
8.3.2. Market Sizing & Forecasting
8.3.3. Argentina
8.3.4. Brazil
8.3.5. Canada
8.3.6. Mexico
8.3.7. United States
8.4. Asia-Pacific
8.4.1. Overview
8.4.2. Market Sizing & Forecasting
8.4.3. Australia
8.4.4. China
8.4.5. India
8.4.6. Japan
8.5. Europe, Middle East & Africa
8.5.1. Overview
8.5.2. Market Sizing & Forecasting
8.5.3. France
8.5.4. Germany
8.5.5. Italy
8.5.6. Spain
8.5.7. United Kingdom
9. COMPETITIVE LANDSCAPE
9.1. 360iResearch FPNV Positioning Matrix for Global Machine Learning as a Service Market
9.2. Market Vendor Ranking Analysis for Global Machine Learning as a Service Market
9.3. Competitive News Feed Analysis for Global Machine Learning as a Service Market
10. COMPANY USABILITY PROFILES
10.1. Crunchbase Inc.
10.1.1. Overview
10.1.2. Strategy
10.1.3. SWOT
10.2. Google LLC
10.2.1. Overview
10.2.2. Strategy
10.2.3. SWOT
10.3. H2O.ai.
10.3.1. Overview
10.3.2. Strategy
10.3.3. SWOT
10.4. IBM
10.4.1. Overview
10.4.2. Strategy
10.4.3. SWOT
10.5. PREDICTRON LABS
10.5.1. Overview
10.5.2. Strategy
10.5.3. SWOT
10.6. Amazon Web Services, Inc.
10.7. BigML, Inc.
10.8. Fair Isaac Corporation.
10.9. Microsoft Corporation
10.10. Yottamine Analytics, LLC
11. APPENDIX
11.1. Discussion Guide
11.2. Top Reports
11.2.1. Global Crane Rental Market - Premium Insight, Competitive News Feed Analysis, Company Usability Profiles, Market Sizing & Forecasts to 2025
11.2.2. Global Computer Vision Market - Premium Insight, Competitive News Feed Analysis, Company Usability Profiles, Market Sizing & Forecasts to 2025
11.2.3. Global Payment Gateway Market - Premium Insight, Competitive News Feed Analysis, Company Usability Profiles, Market Sizing & Forecasts to 2025
11.2.4. Global B2B Travel Market - Premium Insight, Competitive News Feed Analysis, Company Usability Profiles, Market Sizing & Forecasts to 2025
11.2.5. Global Varicose Vein Treatment Devices Market - Premium Insight, Competitive News Feed Analysis, Company Usability Profiles, Market Sizing & Forecasts to 2025
11.3. Author Details
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders
2. RESEARCH & FORECASTING
2.1. Research Methodology
2.1.1. Research Process
2.1.2. Research Framework
2.1.3. Research Reliability & Validity
2.1.4. Research Assumptions
2.2. Forecasting Methodology
2.3. Research Outcome
2.3.1. 360iResearch Competitive Strategic Window
2.3.1.1. Leverage Zone
2.3.1.2. Vantage Zone
2.3.1.3. Speculative Zone
2.3.1.4. Bottleneck Zone
2.3.2. 360iResearch FPNV Positioning Matrix
2.3.2.1. 360iResearch Quadrants
2.3.2.1.1. Forefront
2.3.2.1.2. Pathfinders
2.3.2.1.3. Niche
2.3.2.1.4. Vital
2.3.2.2. Business Strategy
2.3.2.2.1. Business Growth
2.3.2.2.2. Industry Coverage
2.3.2.2.3. Financial Viability
2.3.2.2.4. Channel Support
2.3.2.3. Product Satisfaction
2.3.2.3.1. Value for Money
2.3.2.3.2. Ease of Use
2.3.2.3.3. Product Features
2.3.2.3.4. Customer Support
3. EXECUTIVE SUMMARY
3.1. Outlook in the Machine Learning as a Service Market
3.2. Opportunities in the Machine Learning as a Service Market
4. PREMIUM INSIGHT
4.1. Market Connectivity
4.2. Market Dynamics
4.2.1. Drivers
4.2.2. Restraints
4.2.3. Opportunities
4.2.4. Challenges
4.3. Porter’s Five Forces Analysis
4.3.1. Threat of New Entrants
4.3.2. Threat of Substitutes
4.3.3. Bargaining Power of Customers
4.3.4. Bargaining Power of Suppliers
4.3.5. Industry Rivalry
4.4. Industry Trends
5. GLOBAL MACHINE LEARNING AS A SERVICE MARKET, BY COMPONENT
5.1. Overview
5.2. Market Sizing & Forecasting
5.3. Services
5.4. Software
6. GLOBAL MACHINE LEARNING AS A SERVICE MARKET, BY APPLICATION
6.1. Overview
6.2. Market Sizing & Forecasting
6.3. Augmented & Virtual Reality
6.4. Fraud Detection & Risk Management
6.5. Marketing & Advertising
6.6. Predictive Analytics
6.7. Security & Surveillance
7. GLOBAL MACHINE LEARNING AS A SERVICE MARKET, BY END USER
7.1. Overview
7.2. Market Sizing & Forecasting
7.3. BFSI
7.4. Healthcare & Life Sciences
7.5. Manufacturing
7.6. Retail
7.7. Telecom
8. GLOBAL MACHINE LEARNING AS A SERVICE MARKET, BY GEOGRAPHY
8.1. Overview
8.2. Market Sizing & Forecasting
8.3. Americas
8.3.1. Overview
8.3.2. Market Sizing & Forecasting
8.3.3. Argentina
8.3.4. Brazil
8.3.5. Canada
8.3.6. Mexico
8.3.7. United States
8.4. Asia-Pacific
8.4.1. Overview
8.4.2. Market Sizing & Forecasting
8.4.3. Australia
8.4.4. China
8.4.5. India
8.4.6. Japan
8.5. Europe, Middle East & Africa
8.5.1. Overview
8.5.2. Market Sizing & Forecasting
8.5.3. France
8.5.4. Germany
8.5.5. Italy
8.5.6. Spain
8.5.7. United Kingdom
9. COMPETITIVE LANDSCAPE
9.1. 360iResearch FPNV Positioning Matrix for Global Machine Learning as a Service Market
9.2. Market Vendor Ranking Analysis for Global Machine Learning as a Service Market
9.3. Competitive News Feed Analysis for Global Machine Learning as a Service Market
10. COMPANY USABILITY PROFILES
10.1. Crunchbase Inc.
10.1.1. Overview
10.1.2. Strategy
10.1.3. SWOT
10.2. Google LLC
10.2.1. Overview
10.2.2. Strategy
10.2.3. SWOT
10.3. H2O.ai.
10.3.1. Overview
10.3.2. Strategy
10.3.3. SWOT
10.4. IBM
10.4.1. Overview
10.4.2. Strategy
10.4.3. SWOT
10.5. PREDICTRON LABS
10.5.1. Overview
10.5.2. Strategy
10.5.3. SWOT
10.6. Amazon Web Services, Inc.
10.7. BigML, Inc.
10.8. Fair Isaac Corporation.
10.9. Microsoft Corporation
10.10. Yottamine Analytics, LLC
11. APPENDIX
11.1. Discussion Guide
11.2. Top Reports
11.2.1. Global Crane Rental Market - Premium Insight, Competitive News Feed Analysis, Company Usability Profiles, Market Sizing & Forecasts to 2025
11.2.2. Global Computer Vision Market - Premium Insight, Competitive News Feed Analysis, Company Usability Profiles, Market Sizing & Forecasts to 2025
11.2.3. Global Payment Gateway Market - Premium Insight, Competitive News Feed Analysis, Company Usability Profiles, Market Sizing & Forecasts to 2025
11.2.4. Global B2B Travel Market - Premium Insight, Competitive News Feed Analysis, Company Usability Profiles, Market Sizing & Forecasts to 2025
11.2.5. Global Varicose Vein Treatment Devices Market - Premium Insight, Competitive News Feed Analysis, Company Usability Profiles, Market Sizing & Forecasts to 2025
11.3. Author Details
