Data Science and Machine-Learning Platforms Market Outlook 2018 by Technology Development : SAS, Alteryx, IBM, RapidMiner, KNIME , Microsoft, Dataiku

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

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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.

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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

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Posted by on Monday January 14 2019, 12:51 AM EDT. All trademarks acknowledged. Filed under Business, Life Sciences, Manufacturing & Construction, Software & Services, Technology, Technology, Media, & Telecommunications. Comments and Trackbacks closed. Follow responses: RSS 2.0

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