Global Machine Learning Market Size, Status and Forecast 2019-2025

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Machine learning is a field of computer science that uses statistical techniques to give computer systems the ability to "learn" (e.g., progressively improve performance on a specific task) with data, without being explicitly programmed. The main driving factors for the market are proliferation in data generation and technological advancement. In 2018, the global Machine Learning market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2019-2025. This report focuses on the global Machine Learning status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Machine Learning development in United States, Europe and China. The key players covered in this study Microsoft IBM SAP SAS Google Amazon Web Services Baidu BigML Fair Isaac Corporation (FICO) HPE Intel KNIME RapidMiner Angoss H2O.ai Oracle Domino Data Lab Dataiku Luminoso TrademarkVision Fractal Analytics TIBCO Teradata Dell Market analysis by product type Professional Services Managed Services Market analysis by market BFSI Healthcare and Life Sciences Retail Telecommunication Government and Defense Manufacturing Energy and Utilities Market analysis by Region United States Europe China Japan Southeast Asia India Central & South America The study objectives of this report are: To analyze global Machine Learning status, future forecast, growth opportunity, key market and key players. To present the Machine Learning development in United States, Europe and China. To strategically profile the key players and comprehensively analyze their development plan and strategies. To define, describe and forecast the market by product type, market and key regions. In this study, the years considered to estimate the market size of Machine Learning are as follows: History Year: 2018-2019 Base Year: 2018 Estimated Year: 2019 Forecast Year 2019 to 2025 For the data information by region, company, type and application, 2018 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.

 

Table of Contents 1 Report Overview 1.1 Study Scope 1.2 Key Market Segments 1.3 Players Covered 1.4 Market Analysis by Type 1.4.2 Professional Services 1.4.3 Managed Services 1.5 Market by Application 1.5.1 Global Machine Learning Market Share by Application (2018-2025) 1.5.2 BFSI 1.5.3 Healthcare and Life Sciences 1.5.4 Retail 1.5.5 Telecommunication 1.5.6 Government and Defense 1.5.7 Manufacturing 1.5.8 Energy and Utilities 1.6 Study Objectives 1.7 Years Considered 2 Executive Summary 2.1 Machine Learning Market Size 2.2 Machine Learning Growth Trends by Regions 2.2.1 Machine Learning Market Size by Regions (2018-2025) 2.2.2 Machine Learning Market Share by Regions (2018-2025) 2.3 Industry Trends 2.3.1 Market Top Trends 2.3.2 Market Use Cases 3 Key Players 3.1 Machine Learning Revenue by Manufacturers (2018-2019) 3.2 Machine Learning Key Players Head office and Area Served 3.3 Key Players Machine Learning Product/Solution/Service 3.4 Date of Enter into Machine Learning Market 3.5 Key Players Machine Learning Funding/Investment Analysis 3.6 Global Key Players Machine Learning Valuation & Market Capitalization 3.7 Mergers & Acquisitions, Expansion Plans 4 Breakdown Data by Type and Application 4.1 Global Machine Learning Market Size by Type (2018-2025) 4.2 Global Machine Learning Market Size by Application (2017-2025) 5 United States 5.1 United States Machine Learning Market Size (2018-2025) 5.2 Machine Learning Key Players in United States 5.3 United States Machine Learning Market Size by Type 5.4 United States Machine Learning Market Size by Application 6 Europe 6.1 Europe Machine Learning Market Size (2018-2025) 6.2 Machine Learning Key Players in Europe 6.3 Europe Machine Learning Market Size by Type 6.4 Europe Machine Learning Market Size by Application 7 China 7.1 China Machine Learning Market Size (2018-2025) 7.2 Machine Learning Key Players in China 7.3 China Machine Learning Market Size by Type 7.4 China Machine Learning Market Size by Application 8 Rest of World 8.1 Japan 8.1.1 Japan Machine Learning Market Analysis 8.1.2 Key Players in 8.2 Southeast Asia 8.2.1 Southeast Asia Machine Learning Market Analysis 8.2.2 Key Players in Southeast Asia 8.3 India 8.3.1 India Machine Learning Market Analysis 8.3.2 Key Players in India 9 International Players Profiles 9.1 Microsoft 9.1.1 Microsoft Company Details 9.1.2 Company Description and Business Overview 9.1.3 Machine Learning Introduction 9.1.4 Microsoft Revenue in Machine Learning Business (2018-2019) 9.1.5 Microsoft Recent Development 9.2 IBM 9.2.1 IBM Company Details 9.2.2 Company Description and Business Overview 9.2.3 Machine Learning Introduction 9.2.4 IBM Revenue in Machine Learning Business (2018-2019) 9.2.5 IBM Recent Development 9.3 SAP 9.3.1 SAP Company Details 9.3.2 Company Description and Business Overview 9.3.3 Machine Learning Introduction 9.3.4 SAP Revenue in Machine Learning Business (2018-2019) 9.3.5 SAP Recent Development 9.4 SAS 9.4.1 SAS Company Details 9.4.2 Company Description and Business Overview 9.4.3 Machine Learning Introduction 9.4.4 SAS Revenue in Machine Learning Business (2018-2019) 9.4.5 SAS Recent Development 9.5 Google 9.5.1 Google Company Details 9.5.2 Company Description and Business Overview 9.5.3 Machine Learning Introduction 9.5.4 Google Revenue in Machine Learning Business (2017-2018) 9.5.5 Google Recent Development 9.6 Amazon Web Services 9.6.1 Amazon Web Services Company Details 9.6.2 Company Description and Business Overview 9.6.3 Machine Learning Introduction 9.6.4 Amazon Web Services Revenue in Machine Learning Business (2017-2018) 9.6.5 Amazon Web Services Recent Development 9.7 Baidu 9.7.1 Baidu Company Details 9.7.2 Company Description and Business Overview 9.7.3 Machine Learning Introduction 9.7.4 Baidu Revenue in Machine Learning Business (2018-2019) 9.7.5 Baidu Recent Development 9.8 BigML 9.8.1 BigML Company Details 9.8.2 Company Description and Business Overview 9.8.3 Machine Learning Introduction 9.8.4 BigML Revenue in Machine Learning Business (2018-2019) 9.8.5 BigML Recent Development 9.9 Fair Isaac Corporation (FICO) 9.9.1 Fair Isaac Corporation (FICO) Company Details 9.9.2 Company Description and Business Overview 9.9.3 Machine Learning Introduction 9.9.4 Fair Isaac Corporation (FICO) Revenue in Machine Learning Business (2018-2019) 9.9.5 Fair Isaac Corporation (FICO) Recent Development 9.10 HPE 9.10.1 HPE Company Details 9.10.2 Company Description and Business Overview 9.10.3 Machine Learning Introduction 9.10.4 HPE Revenue in Machine Learning Business (2018-2019) 9.10.5 HPE Recent Development 9.11 Intel 9.12 KNIME 9.13 RapidMiner 9.14 Angoss 9.15 H2O.ai 9.16 Oracle 9.17 Domino Data Lab 9.18 Dataiku 9.19 Luminoso 9.20 TrademarkVision 9.21 Fractal Analytics 9.22 TIBCO 9.23 Teradata 9.24 Dell 10 Market Dynamics 10.1 Drivers 10.2 Opportunities 10.3 Challenges 10.4 Market Ecosystem 10.5 Market Value Chain Analysis 11 Key Findings in This Report 12 Appendix 12.1 Research Methodology 12.1.1 Methodology/Research Approach 12.1.1.1 Research Programs/Design 12.1.1.2 Market Size Estimation 12.1.1.3 Market Breakdown and Data Triangulation 12.1.2 Data Source 12.1.2.1 Secondary Sources 12.1.2.2 Primary Sources 12.2 Disclaimer 12.3 Author Details

List of Tables and Figures Table Machine Learning Key Market Segments Table Key Players Machine Learning Covered Table Global Machine Learning Market Size Growth Rate by Type 2019-2025 (Million US$) Figure Global Machine Learning Market Size Market Share by Type 2019-2025 Figure Professional Services Figures Table Key Players of Professional Services Figure Managed Services Figures Table Key Players of Managed Services Table Global Machine Learning Market Size Growth by Application 2019-2025 (Million US$) Figure BFSI Case Studies Figure Healthcare and Life Sciences Case Studies Figure Retail Case Studies Figure Telecommunication Case Studies Figure Government and Defense Case Studies Figure Manufacturing Case Studies Figure Energy and Utilities Case Studies Figure Machine Learning Report Years Considered Table Global Machine Learning Market Size 2018-2025 (Million US$) Figure Global Machine Learning Market Size and Growth Rate 2018-2025 (Million US$) Table Global Machine Learning Market Size by Regions 2019-2025 (Million US$) Table Global Machine Learning Market Size by Regions 2018-2025 (Million US$) Table Global Machine Learning Market Share by Regions 2014-2019 Figure Global Machine Learning Market Share by Regions 2018-2025 Figure Global Machine Learning Market Share by Regions 2019-2025 Table Market Top Trends Table Global Machine Learning Revenue by Manufacturers (2018-2019) (Million US$) Table Global Machine Learning Market Share by Manufacturers (2018-2019) Figure Global Machine Learning Market Share by Manufacturers in 2019 Table Global Key Players Machine Learning Funding/Investment Analysis (Million US$) Table Global Key Players Machine Learning Valuation & Market Capitalization (Million US$) Table Mergers & Acquisitions, Expansion Plans Table Global Machine Learning Market Size by Type (2018-2025) (Million US$) Table Global Machine Learning Market Share by Type (2018-2025) Figure Global Machine Learning Market Size Share by Type (2018-2025) Table Global Machine Learning Market Size by Application (2018-2025) (Million US$) Table Global Machine Learning Market Size Share by Application (2018-2025) Figure Global Machine Learning Market Size Market Share by Application (2018-2025) Figure Global Machine Learning Revenue Market Share by Application in 2018 Figure United States Machine Learning Market Size 2018-2025 (Million US$) Table United States Key Players Machine Learning Revenue (2018-2019) (Million US$) Table United States Key Players Machine Learning Market Share (2018-2019) Table United States Machine Learning Market Size by Type (2018-2025) (Million US$) Table United States Machine Learning Market Share by Type (2018-2025) Table United States Machine Learning Market Size by Application (2018-2025) (Million US$) Table United States Machine Learning Market Share by Application (2018-2025) Figure Europe Machine Learning Market Size 2018-2025 (Million US$) Table Europe Key Players Machine Learning Revenue (2018-2019) (Million US$) Table Europe Key Players Machine Learning Market Share (2018-2019) Table Europe Machine Learning Market Size by Type (2018-2025) (Million US$) Table Europe Machine Learning Market Share by Type (2018-2025) Table Europe Machine Learning Market Size by Application (2018-2025) (Million US$) Table Europe Machine Learning Market Share by Application (2018-2025) Figure China Machine Learning Market Size 2018-2025 (Million US$) Table China Key Players Machine Learning Revenue (2018-2019) (Million US$) Table China Key Players Machine Learning Market Share (2018-2019) Table China Machine Learning Market Size by Type (2018-2025) (Million US$) Table China Machine Learning Market Share by Type (2018-2025) Table China Machine Learning Market Size by Application (2018-2025) (Million US$) Table China Machine Learning Market Share by Application (2018-2025) Figure Market Size in Japan Machine Learning 2018-2025 (Million US$) Figure Market Size in Southeast Asia Machine Learning 2018-2025 (Million US$) Figure Market Size in India Machine Learning 2018-2025 (Million US$) Table Microsoft Company Details Table Microsoft Revenue in Machine Learning Business in 2018 and 2019 Table Microsoft Recent Development Table IBM Company Details Table IBM Revenue in Machine Learning Business in 2018 and 2019 Table IBM Recent Development Table SAP Company Details Table SAP Revenue in Machine Learning Business in 2018 and 2019 Table SAP Recent Development Table SAS Company Details Table SAS Revenue in Machine Learning Business in 2018 and 2019 Table SAS Recent Development Table Google Company Details Table Google Revenue in Machine Learning Business in 2018 and 2019 Table Google Recent Development Table Amazon Web Services Company Details Table Amazon Web Services Revenue in Machine Learning Business in 2018 and 2019 Table Amazon Web Services Recent Development Table Baidu Company Details Table Baidu Revenue in Machine Learning Business in 2018 and 2019 Table Baidu Recent Development Table BigML Company Details Table BigML Revenue in Machine Learning Business in 2018 and 2019 Table BigML Recent Development Table Fair Isaac Corporation (FICO) Company Details Table Fair Isaac Corporation (FICO) Revenue in Machine Learning Business in 2018 and 2019 Table Fair Isaac Corporation (FICO) Recent Development Table HPE Company Details Table HPE Revenue in Machine Learning Business in 2018 and 2019 Table HPE Recent Development Table Intel Company Details Table KNIME Company Details Table RapidMiner Company Details Table Angoss Company Details Table H2O.ai Company Details Table Oracle Company Details Table Domino Data Lab Company Details Table Dataiku Company Details Table Luminoso Company Details Table TrademarkVision Company Details Table Fractal Analytics Company Details Table TIBCO Company Details Table Teradata Company Details Table Dell Company Details Table Research Programs/Design for This Report Figure Bottom-up and Top-down Approaches for This Report Figure Data Triangulation Table Key Data Information from Secondary Sources Table Key Data Information from Primary Sources

This research study involved the extensive usage of both primary and secondary data sources.  The research process involved the study of various factors affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry, and market risks, opportunities, market barriers and challenges. Top-down and bottom-up approaches are used to validate the global market size market and estimate the market size for manufacturers, regions segments, product segments and applications (end users). All possible factors that influence the markets included in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. The market size for top-level markets and sub-segments is normalized, and the effect of inflation, economic downturns, and regulatory & policy changes or other factors are not accounted for in the market forecast. This data is combined and added with detailed inputs and analysis from QYResearch and presented in this report.
 

After complete market engineering with calculations for market statistics; market size estimations; market forecasting; market breakdown; and data triangulation, extensive primary research was conducted to gather information and verify and validate the critical numbers arrived at. In the complete market engineering process, both top-down and bottom-up approaches were extensively used, along with several data triangulation methods, to perform market estimation and market forecasting for the overall market segments and sub segments listed in this report. Extensive qualitative and further quantitative analysis is also done from all the numbers arrived at in the complete market engineering process to list key information throughout the report.
 

Secondary Sources occupies Approximately 25% of Sources, such as press releases, annual reports, Non-Profit organizations, industry associations, governmental agencies and customs data, and so on; This research study involved the usage of widespread secondary sources; directories; databases such as Bloomberg Business, Wind Info, Hoovers, Factiva (Dow Jones & Company), TRADING ECONOMICS, and avention; Investing News Network; statista; Federal Reserve Economic Data; annual reports; BIS Statistics; ICIS; company house documents; CAS(American Chemical Society); investor presentations; and SEC filings of companies. Secondary research was used to identify and collect information useful for the extensive, technical, market-oriented, and commercial study of the Light Aircraft market. It was also used to obtain important information about the top players, market classification and segmentation according to industry trends to the bottom-most level, and key developments related to market and technology perspectives.
 

In the primary research process, various sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information for this report. The primary sources from the supply side include product manufacturers (and their competitors), opinion leaders, industry experts, research institutions, distributors, dealer and traders, as well as the raw materials suppliers and producers etc.
 

The primary sources from the demand side include industry experts such as business leaders, marketing and sales directors, technology and innovation directors, supply chain executive, end users (product buyers), and related key executives from various key companies and organizations operating in the global market.
 

Primary research was conducted to identify segmentation types, product price range, product applications, key players, raw materials supply and the downstream demand, industry status and outlook, and key market dynamics such as risks, influence factors, opportunities, market barriers, industry trends, and key player strategies.
 

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