Data Science and Machine-Learning Platforms Market Outlook 2018
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(EMAILWIRE.COM, January 15, 2019 ) Global Data Science and Machine-Learning Platforms Market Growth Status and Outlook 2018-2023
In particular, this report presents the global revenue market share of key companies in Data Science and Machine-Learning Platforms business.
This report presents a 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:
Open Source Data Integration Tools
Cloud-based Data Integration Tools
Segmentation by application:
Small-Sized Enterprises
Medium-Sized Enterprise
Large Enterprises
Get more Information Download a Sample Copy @ https://www.reportsweb.com/inquiry&RW00012415903/sample
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:
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.
Get Exclusive Discount on Report @ https://www.reportsweb.com/inquiry&RW00012415903/discount
Table of Contents
Global Data Science and Machine-Learning Platforms Market Growth Status and Outlook 2018-2023
1 Scope of the Report
2 Executive Summary
3 Global Data Science and Machine-Learning Platforms by Players
4 Data Science and Machine-Learning Platforms by Regions
5 Americas
6 APAC
7 Europe
8 Middle East & Africa
9 Market Drivers, Challenges and Trends
10 Global Data Science and Machine-Learning Platforms Market Forecast
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
Place Direct Purchase order For Complete report @ https://www.reportsweb.com/inquiry&RW00012415903/buying
In particular, this report presents the global revenue market share of key companies in Data Science and Machine-Learning Platforms business.
This report presents a 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:
Open Source Data Integration Tools
Cloud-based Data Integration Tools
Segmentation by application:
Small-Sized Enterprises
Medium-Sized Enterprise
Large Enterprises
Get more Information Download a Sample Copy @ https://www.reportsweb.com/inquiry&RW00012415903/sample
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:
SAS
Alteryx
IBM
RapidMiner
KNIME
Microsoft
Dataiku
Databricks
TIBCO Software
MathWorks
H20.ai
Anaconda
SAP
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.
Get Exclusive Discount on Report @ https://www.reportsweb.com/inquiry&RW00012415903/discount
Table of Contents
Global Data Science and Machine-Learning Platforms Market Growth Status and Outlook 2018-2023
1 Scope of the Report
2 Executive Summary
3 Global Data Science and Machine-Learning Platforms by Players
4 Data Science and Machine-Learning Platforms by Regions
5 Americas
6 APAC
7 Europe
8 Middle East & Africa
9 Market Drivers, Challenges and Trends
10 Global Data Science and Machine-Learning Platforms Market Forecast
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
Place Direct Purchase order For Complete report @ https://www.reportsweb.com/inquiry&RW00012415903/buying
Contact Information:
ReportsWeb.com
Rajat Sahni
Tel: +1-646-491-9876
Email us
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ReportsWeb.com
Rajat Sahni
Tel: +1-646-491-9876
Email us
----
This press release is posted on EmailWire.com -- a global newswire that provides Press Release Distribution Services with Guaranteed Results