Report Detail
Global Data Science and Machine-Learning Platforms Market Growth (Status and Outlook) 2018-2023
- RnM2758407 |
- 12 January, 2019 |
- Global |
- 135 Pages |
- LPI(LP Information) |
- Service & Software
The field of data science and Machine-Learning Platforms are undergoing great interruptions that are making the work of data scientists easier. There are several data science and machine-learning software products available for free and for purchase on the market today. A good data science and machine-learning platform should propose data scientists the building blocks for creating a solution to a data science problem.
As reported by this study, over the next half decade, the Data Science and Machine-Learning Platforms market will register an xx% CAGR in terms of revenue, the global market size will reach US$ xx million by 2023, from US$ xx million in 2017. Specifically, this report introduces the global revenue market share of major key companies in Data Intelligence Solutions for Sales business, shared in Chapter 3.
This report presents a global and comprehensive overview, market shares and growth opportunities of Data Science and Machine-Learning Platforms market by product type, application, key companies and key regions.
This study considers the Data Science and Machine-Learning Platforms value generated from the sales of the following segments:
Segmentation by product type: breakdown data from 2013 to 2018, in Section 2.3; and forecast to 2023 in section 10.7.
Open Source Data Integration Tools
Cloud-based Data Integration Tools
Segmentation by application: breakdown data from 2013 to 2018, in Section 2.4; and forecast to 2023 in section 10.8.
Small-Sized Enterprises
Medium-Sized Enterprise
Large Enterprises
This report also splits the market by region: Breakdown data in Chapter 4, 5, 6, 7 and 8.
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Spain
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The report also presents the market competition landscape and a corresponding detailed analysis of the major vendor/manufacturers in the market. The key manufacturers covered in this report: Breakdown data in in Chapter 3.
SAS
Alteryx
IBM
RapidMiner
KNIME
Microsoft
Dataiku
Databricks
TIBCO Software
MathWorks
H20.ai
Anaconda
SAP
Google
Domino Data Lab
Angoss
Lexalytics
Rapid Insight
In addition, this report discusses the key drivers influencing market growth, opportunities, the challenges and the risks faced by key players and the market as a whole. It also analyzes key emerging trends and their impact on present and future development.
Research objectives
To study and analyze the global Data Science and Machine-Learning Platforms market size by key regions/countries, product type and application, history data from 2013 to 2017, and forecast to 2023.
To understand the structure of Data Science and Machine-Learning Platforms market by identifying its various subsegments.
Focuses on the key global Data Science and Machine-Learning Platforms players, to define, describe and analyze the value, market share, market competition landscape, SWOT analysis and development plans in next few years.
To analyze the Data Science and Machine-Learning Platforms with respect to individual growth trends, future prospects, and their contribution to the total market.
To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
To project the size of Data Science and Machine-Learning Platforms submarkets, with respect to key regions (along with their respective key countries).
To analyze competitive developments such as expansions, agreements, new product launches and acquisitions in the market.
To strategically profile the key players and comprehensively analyze their growth strategies.
Table of Contents
2018-2023 Global Data Science and Machine-Learning Platforms Market Report (Status and Outlook)
1 Scope of the Report
- 1.1 Market Introduction
- 1.2 Research Objectives
- 1.3 Years Considered
- 1.4 Market Research Methodology
- 1.5 Economic Indicators
- 1.6 Currency Considered
2 Executive Summary
- 2.1 World Market Overview
- 2.1.1 Global Data Science and Machine-Learning Platforms Market Size 2013-2023
- 2.1.2 Data Science and Machine-Learning Platforms Market Size CAGR by Region
- 2.2 Data Science and Machine-Learning Platforms Segment by Type
- 2.2.1 Open Source Data Integration Tools
- 2.2.2 Cloud-based Data Integration Tools
- 2.3 Data Science and Machine-Learning Platforms Market Size by Type
- 2.3.1 Global Data Science and Machine-Learning Platforms Market Size Market Share by Type (2013-2018)
- 2.3.2 Global Data Science and Machine-Learning Platforms Market Size Growth Rate by Type (2013-2018)
- 2.4 Data Science and Machine-Learning Platforms Segment by Application
- 2.4.1 Small-Sized Enterprises
- 2.4.2 Medium-Sized Enterprise
- 2.4.3 Large Enterprises
- 2.5 Data Science and Machine-Learning Platforms Market Size by Application
- 2.5.1 Global Data Science and Machine-Learning Platforms Market Size Market Share by Application (2013-2018)
- 2.5.2 Global Data Science and Machine-Learning Platforms Market Size Growth Rate by Application (2013-2018)
3 Global Data Science and Machine-Learning Platforms by Players
- 3.1 Global Data Science and Machine-Learning Platforms Market Size Market Share by Players
- 3.1.1 Global Data Science and Machine-Learning Platforms Market Size by Players (2016-2018)
- 3.1.2 Global Data Science and Machine-Learning Platforms Market Size Market Share by Players (2016-2018)
- 3.2 Global Data Science and Machine-Learning Platforms Key Players Head office and Products Offered
- 3.3 Market Concentration Rate Analysis
- 3.3.1 Competition Landscape Analysis
- 3.3.2 Concentration Ratio (CR3, CR5 and CR10) (2016-2018)
- 3.4 New Products and Potential Entrants
- 3.5 Mergers & Acquisitions, Expansion
4 Data Science and Machine-Learning Platforms by Regions
- 4.1 Data Science and Machine-Learning Platforms Market Size by Regions
- 4.2 Americas Data Science and Machine-Learning Platforms Market Size Growth
- 4.3 APAC Data Science and Machine-Learning Platforms Market Size Growth
- 4.4 Europe Data Science and Machine-Learning Platforms Market Size Growth
- 4.5 Middle East & Africa Data Science and Machine-Learning Platforms Market Size Growth
5 Americas
- 5.1 Americas Data Science and Machine-Learning Platforms Market Size by Countries
- 5.2 Americas Data Science and Machine-Learning Platforms Market Size by Type
- 5.3 Americas Data Science and Machine-Learning Platforms Market Size by Application
- 5.4 United States
- 5.5 Canada
- 5.6 Mexico
- 5.7 Key Economic Indicators of Few Americas Countries
6 APAC
- 6.1 APAC Data Science and Machine-Learning Platforms Market Size by Countries
- 6.2 APAC Data Science and Machine-Learning Platforms Market Size by Type
- 6.3 APAC Data Science and Machine-Learning Platforms Market Size by Application
- 6.4 China
- 6.5 Japan
- 6.6 Korea
- 6.7 Southeast Asia
- 6.8 India
- 6.9 Australia
- 6.10 Key Economic Indicators of Few APAC Countries
7 Europe
- 7.1 Europe Data Science and Machine-Learning Platforms by Countries
- 7.2 Europe Data Science and Machine-Learning Platforms Market Size by Type
- 7.3 Europe Data Science and Machine-Learning Platforms Market Size by Application
- 7.4 Germany
- 7.5 France
- 7.6 UK
- 7.7 Italy
- 7.8 Russia
- 7.9 Spain
- 7.10 Key Economic Indicators of Few Europe Countries
8 Middle East & Africa
- 8.1 Middle East & Africa Data Science and Machine-Learning Platforms by Countries
- 8.2 Middle East & Africa Data Science and Machine-Learning Platforms Market Size by Type
- 8.3 Middle East & Africa Data Science and Machine-Learning Platforms Market Size by Application
- 8.4 Egypt
- 8.5 South Africa
- 8.6 Israel
- 8.7 Turkey
- 8.8 GCC Countries
9 Market Drivers, Challenges and Trends
- 9.1 Market Drivers and Impact
- 9.1.1 Growing Demand from Key Regions
- 9.1.2 Growing Demand from Key Applications and Potential Industries
- 9.2 Market Challenges and Impact
- 9.3 Market Trends
10 Global Data Science and Machine-Learning Platforms Market Forecast
- 10.1 Global Data Science and Machine-Learning Platforms Market Size Forecast (2018-2023)
- 10.2 Global Data Science and Machine-Learning Platforms Forecast by Regions
- 10.2.1 Global Data Science and Machine-Learning Platforms Forecast by Regions (2018-2023)
- 10.2.2 Americas Market Forecast
- 10.2.3 APAC Market Forecast
- 10.2.4 Europe Market Forecast
- 10.2.5 Middle East & Africa Market Forecast
- 10.3 Americas Forecast by Countries
- 10.3.1 United States Market Forecast
- 10.3.2 Canada Market Forecast
- 10.3.3 Mexico Market Forecast
- 10.3.4 Brazil Market Forecast
- 10.4 APAC Forecast by Countries
- 10.4.1 China Market Forecast
- 10.4.2 Japan Market Forecast
- 10.4.3 Korea Market Forecast
- 10.4.4 Southeast Asia Market Forecast
- 10.4.5 India Market Forecast
- 10.4.6 Australia Market Forecast
- 10.5 Europe Forecast by Countries
- 10.5.1 Germany Market Forecast
- 10.5.2 France Market Forecast
- 10.5.3 UK Market Forecast
- 10.5.4 Italy Market Forecast
- 10.5.5 Russia Market Forecast
- 10.5.6 Spain Market Forecast
- 10.6 Middle East & Africa Forecast by Countries
- 10.6.1 Egypt Market Forecast
- 10.6.2 South Africa Market Forecast
- 10.6.3 Israel Market Forecast
- 10.6.4 Turkey Market Forecast
- 10.6.5 GCC Countries Market Forecast
- 10.7 Global Data Science and Machine-Learning Platforms Forecast by Type
- 10.8 Global Data Science and Machine-Learning Platforms Forecast by Application
11 Key Players Analysis
- 11.1 SAS
- 11.1.1 Company Details
- 11.1.2 Data Science and Machine-Learning Platforms Product Offered
- 11.1.3 SAS Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2016-2018)
- 11.1.4 Main Business Overview
- 11.1.5 SAS News
- 11.2 Alteryx
- 11.2.1 Company Details
- 11.2.2 Data Science and Machine-Learning Platforms Product Offered
- 11.2.3 Alteryx Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2016-2018)
- 11.2.4 Main Business Overview
- 11.2.5 Alteryx News
- 11.3 IBM
- 11.3.1 Company Details
- 11.3.2 Data Science and Machine-Learning Platforms Product Offered
- 11.3.3 IBM Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2016-2018)
- 11.3.4 Main Business Overview
- 11.3.5 IBM News
- 11.4 RapidMiner
- 11.4.1 Company Details
- 11.4.2 Data Science and Machine-Learning Platforms Product Offered
- 11.4.3 RapidMiner Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2016-2018)
- 11.4.4 Main Business Overview
- 11.4.5 RapidMiner News
- 11.5 KNIME
- 11.5.1 Company Details
- 11.5.2 Data Science and Machine-Learning Platforms Product Offered
- 11.5.3 KNIME Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2016-2018)
- 11.5.4 Main Business Overview
- 11.5.5 KNIME News
- 11.6 Microsoft
- 11.6.1 Company Details
- 11.6.2 Data Science and Machine-Learning Platforms Product Offered
- 11.6.3 Microsoft Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2016-2018)
- 11.6.4 Main Business Overview
- 11.6.5 Microsoft News
- 11.7 Dataiku
- 11.7.1 Company Details
- 11.7.2 Data Science and Machine-Learning Platforms Product Offered
- 11.7.3 Dataiku Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2016-2018)
- 11.7.4 Main Business Overview
- 11.7.5 Dataiku News
- 11.8 Databricks
- 11.8.1 Company Details
- 11.8.2 Data Science and Machine-Learning Platforms Product Offered
- 11.8.3 Databricks Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2016-2018)
- 11.8.4 Main Business Overview
- 11.8.5 Databricks News
- 11.9 TIBCO Software
- 11.9.1 Company Details
- 11.9.2 Data Science and Machine-Learning Platforms Product Offered
- 11.9.3 TIBCO Software Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2016-2018)
- 11.9.4 Main Business Overview
- 11.9.5 TIBCO Software News
- 11.10 MathWorks
- 11.10.1 Company Details
- 11.10.2 Data Science and Machine-Learning Platforms Product Offered
- 11.10.3 MathWorks Data Science and Machine-Learning Platforms Revenue, Gross Margin and Market Share (2016-2018)
- 11.10.4 Main Business Overview
- 11.10.5 MathWorks News
- 11.11 H20.ai
- 11.12 Anaconda
- 11.13 SAP
- 11.14 Google
- 11.15 Domino Data Lab
- 11.16 Angoss
- 11.17 Lexalytics
- 11.18 Rapid Insight
12 Research Findings and Conclusion
Summary:
Get latest Market Research Reports on Data Science and Machine-Learning Platforms . Industry analysis & Market Report on Data Science and Machine-Learning Platforms is a syndicated market report, published as Global Data Science and Machine-Learning Platforms Market Growth (Status and Outlook) 2018-2023. It is complete Research Study and Industry Analysis of Data Science and Machine-Learning Platforms market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.
REPORT YOU MIGHT BE INTERESTED
Related Reports
Reason to Buy
Reports and Markets
Contact Us
+1-352-353-0818 (US)Newsletter
KEEP UP TO DATE ON ALL THE LATEST REPORTS
