COVID-19 Outbreak-Global Data Science and Machine-Learning Platforms Industry Market Report-Development Trends, Threats, Opportunities and Competitive Landscape in 2020

Published on 12/08/2020| Code: MAR41115D| Category: Utilities| Total Pages: 112

The Data Science and Machine-Learning Platforms market revenue was xx.xx Million USD in 2019, and will reach xx.xx Million USD in 2025, with a CAGR of x.x% during 2020-2025.

Under COVID-19 outbreak globally, this report provides 360 degrees of analysis from supply chain, import and export control to regional government policy and future influence on the industry. Detailed analysis about market status (2015-2020), enterprise competition pattern, advantages and disadvantages of enterprise products, industry development trends (2020-2025), regional industrial layout characteristics and macroeconomic policies, industrial policy has also been included. From raw materials to end users of this industry are analyzed scientifically, the trends of product circulation and sales channel will be presented as well. Considering COVID-19, this report provides comprehensive and in-depth analysis on how the epidemic push this industry transformation and reform.

In COVID-19 outbreak, Chapter 2.2 of this report provides an analysis of the impact of COVID-19 on the global economy and the Data Science and Machine-Learning Platforms industry.

Chapter 3.7 covers the analysis of the impact of COVID-19 from the perspective of the industry chain.

In addition, chapters 7-11 consider the impact of COVID-19 on the regional economy.

The Data Science and Machine-Learning Platforms market can be split based on product types, major applications, and important countries as follows:

Key players in the global Data Science and Machine-Learning Platforms market covered in Chapter 12:

Microsoft
SAP
Anaconda
Lexalytics
H20.ai
Angoss
Dataiku
MathWorks
Google
Domino Data Lab
Alteryx
KNIME
Databricks
SAS
Rapid Insight
TIBCO Software
RapidMiner
IBM

In Chapter 4 and 14.1, on the basis of types, the Data Science and Machine-Learning Platforms market from 2015 to 2025 is primarily split into:

Open Source Data Integration Tools
Cloud-based Data Integration Tools

In Chapter 5 and 14.2, on the basis of applications, the Data Science and Machine-Learning Platforms market from 2015 to 2025 covers:

Small-Sized Enterprises
Medium-Sized Enterprise
Large Enterprises

Geographically, the detailed analysis of consumption, revenue, market share and growth rate, historic and forecast (2015-2025) of the following regions are covered in Chapter 6, 7, 8, 9, 10, 11, 14:

North America (Covered in Chapter 7 and 14)

United States

Canada

Mexico

Europe (Covered in Chapter 8 and 14)

Germany

France

Italy

Spain

Russia

Others

Asia-Pacific (Covered in Chapter 9 and 14)

China

Japan

South Korea

Australia

India

Southeast Asia

Others

Middle East and Africa (Covered in Chapter 10 and 14)

Saudi Arabia

UAE

Egypt

Nigeria

South Africa

Others

South America (Covered in Chapter 11 and 14)

Brazil

Argentina

Columbia

Chile

Others

Years considered for this report:

Historical Years: 2015-2019

Base Year: 2019

Estimated Year: 2020

Forecast Period: 2020-2025

Table of Content

1 Data Science and Machine-Learning Platforms Introduction and Market Overview

1.1 Objectives of the Study

1.2 Overview of Data Science and Machine-Learning Platforms

1.3 Scope of The Study

1.3.1 Key Market Segments

1.3.2 Players Covered

1.3.3 COVID-19's impact on the Data Science and Machine-Learning Platforms industry

1.4 Methodology of The Study

1.5 Research Data Source

2 Executive Summary

2.1 Market Overview

2.1.1 Global Data Science and Machine-Learning Platforms Market Size, 2015 – 2020

2.1.2 Global Data Science and Machine-Learning Platforms Market Size by Type, 2015 – 2020

2.1.3 Global Data Science and Machine-Learning Platforms Market Size by Application, 2015 – 2020

2.1.4 Global Data Science and Machine-Learning Platforms Market Size by Region, 2015 - 2025

2.2 Business Environment Analysis

2.2.1 Global COVID-19 Status and Economic Overview

2.2.2 Influence of COVID-19 Outbreak on Data Science and Machine-Learning Platforms Industry Development

3 Industry Chain Analysis

3.1 Upstream Raw Material Suppliers of Data Science and Machine-Learning Platforms Analysis

3.2 Major Players of Data Science and Machine-Learning Platforms

3.3 Data Science and Machine-Learning Platforms Manufacturing Cost Structure Analysis

3.3.1 Production Process Analysis

3.3.2 Manufacturing Cost Structure of Data Science and Machine-Learning Platforms

3.3.3 Labor Cost of Data Science and Machine-Learning Platforms

3.4 Market Distributors of Data Science and Machine-Learning Platforms

3.5 Major Downstream Buyers of Data Science and Machine-Learning Platforms Analysis

3.6 The Impact of Covid-19 From the Perspective of Industry Chain

3.7 Regional Import and Export Controls Will Exist for a Long Time

3.8 Continued downward PMI Spreads Globally

4 Global Data Science and Machine-Learning Platforms Market, by Type

4.1 Global Data Science and Machine-Learning Platforms Value and Market Share by Type (2015-2020)

4.2 Global Data Science and Machine-Learning Platforms Production and Market Share by Type (2015-2020)

4.3 Global Data Science and Machine-Learning Platforms Value and Growth Rate by Type (2015-2020)

4.3.1 Global Data Science and Machine-Learning Platforms Value and Growth Rate of Open Source Data Integration Tools
4.3.2 Global Data Science and Machine-Learning Platforms Value and Growth Rate of Cloud-based Data Integration Tools
4.4 Global Data Science and Machine-Learning Platforms Price Analysis by Type (2015-2020)

5 Data Science and Machine-Learning Platforms Market, by Application

5.1 Downstream Market Overview

5.2 Global Data Science and Machine-Learning Platforms Consumption and Market Share by Application (2015-2020)

5.3 Global Data Science and Machine-Learning Platforms Consumption and Growth Rate by Application (2015-2020)

5.3.1 Global Data Science and Machine-Learning Platforms Consumption and Growth Rate of Small-Sized Enterprises (2015-2020)
5.3.2 Global Data Science and Machine-Learning Platforms Consumption and Growth Rate of Medium-Sized Enterprise (2015-2020)
5.3.3 Global Data Science and Machine-Learning Platforms Consumption and Growth Rate of Large Enterprises (2015-2020)

6 Global Data Science and Machine-Learning Platforms Market Analysis by Regions

6.1 Global Data Science and Machine-Learning Platforms Sales, Revenue and Market Share by Regions

6.1.1 Global Data Science and Machine-Learning Platforms Sales by Regions (2015-2020)

6.1.2 Global Data Science and Machine-Learning Platforms Revenue by Regions (2015-2020)

6.2 North America Data Science and Machine-Learning Platforms Sales and Growth Rate (2015-2020)

6.3 Europe Data Science and Machine-Learning Platforms Sales and Growth Rate (2015-2020)

6.4 Asia-Pacific Data Science and Machine-Learning Platforms Sales and Growth Rate (2015-2020)

6.5 Middle East and Africa Data Science and Machine-Learning Platforms Sales and Growth Rate (2015-2020)

6.6 South America Data Science and Machine-Learning Platforms Sales and Growth Rate (2015-2020)

7 North America Data Science and Machine-Learning Platforms Market Analysis by Countries

7.1 The Influence of COVID-19 on North America Market

7.2 North America Data Science and Machine-Learning Platforms Sales, Revenue and Market Share by Countries

7.2.1 North America Data Science and Machine-Learning Platforms Sales by Countries (2015-2020)

7.2.2 North America Data Science and Machine-Learning Platforms Revenue by Countries (2015-2020)

7.3 United States Data Science and Machine-Learning Platforms Sales and Growth Rate (2015-2020)

7.4 Canada Data Science and Machine-Learning Platforms Sales and Growth Rate (2015-2020)

7.5 Mexico Data Science and Machine-Learning Platforms Sales and Growth Rate (2015-2020)

8 Europe Data Science and Machine-Learning Platforms Market Analysis by Countries

8.1 The Influence of COVID-19 on Europe Market

8.2 Europe Data Science and Machine-Learning Platforms Sales, Revenue and Market Share by Countries

8.2.1 Europe Data Science and Machine-Learning Platforms Sales by Countries (2015-2020)

8.2.2 Europe Data Science and Machine-Learning Platforms Revenue by Countries (2015-2020)

8.3 Germany Data Science and Machine-Learning Platforms Sales and Growth Rate (2015-2020)

8.4 UK Data Science and Machine-Learning Platforms Sales and Growth Rate (2015-2020)

8.5 France Data Science and Machine-Learning Platforms Sales and Growth Rate (2015-2020)

8.6 Italy Data Science and Machine-Learning Platforms Sales and Growth Rate (2015-2020)

8.7 Spain Data Science and Machine-Learning Platforms Sales and Growth Rate (2015-2020)

8.8 Russia Data Science and Machine-Learning Platforms Sales and Growth Rate (2015-2020)

9 Asia Pacific Data Science and Machine-Learning Platforms Market Analysis by Countries

9.1 The Influence of COVID-19 on Asia Pacific Market

9.2 Asia Pacific Data Science and Machine-Learning Platforms Sales, Revenue and Market Share by Countries

9.2.1 Asia Pacific Data Science and Machine-Learning Platforms Sales by Countries (2015-2020)

9.2.2 Asia Pacific Data Science and Machine-Learning Platforms Revenue by Countries (2015-2020)

9.3 China Data Science and Machine-Learning Platforms Sales and Growth Rate (2015-2020)

9.4 Japan Data Science and Machine-Learning Platforms Sales and Growth Rate (2015-2020)

9.5 South Korea Data Science and Machine-Learning Platforms Sales and Growth Rate (2015-2020)

9.6 India Data Science and Machine-Learning Platforms Sales and Growth Rate (2015-2020)

9.7 Southeast Asia Data Science and Machine-Learning Platforms Sales and Growth Rate (2015-2020)

9.8 Australia Data Science and Machine-Learning Platforms Sales and Growth Rate (2015-2020)

10 Middle East and Africa Data Science and Machine-Learning Platforms Market Analysis by Countries

10.1 The Influence of COVID-19 on Middle East and Africa Market

10.2 Middle East and Africa Data Science and Machine-Learning Platforms Sales, Revenue and Market Share by Countries

10.2.1 Middle East and Africa Data Science and Machine-Learning Platforms Sales by Countries (2015-2020)

10.2.2 Middle East and Africa Data Science and Machine-Learning Platforms Revenue by Countries (2015-2020)

10.3 Saudi Arabia Data Science and Machine-Learning Platforms Sales and Growth Rate (2015-2020)

10.4 UAE Data Science and Machine-Learning Platforms Sales and Growth Rate (2015-2020)

10.5 Egypt Data Science and Machine-Learning Platforms Sales and Growth Rate (2015-2020)

10.6 Nigeria Data Science and Machine-Learning Platforms Sales and Growth Rate (2015-2020)

10.7 South Africa Data Science and Machine-Learning Platforms Sales and Growth Rate (2015-2020)

11 South America Data Science and Machine-Learning Platforms Market Analysis by Countries

11.1 The Influence of COVID-19 on Middle East and Africa Market

11.2 South America Data Science and Machine-Learning Platforms Sales, Revenue and Market Share by Countries

11.2.1 South America Data Science and Machine-Learning Platforms Sales by Countries (2015-2020)

11.2.2 South America Data Science and Machine-Learning Platforms Revenue by Countries (2015-2020)

11.3 Brazil Data Science and Machine-Learning Platforms Sales and Growth Rate (2015-2020)

11.4 Argentina Data Science and Machine-Learning Platforms Sales and Growth Rate (2015-2020)

11.5 Columbia Data Science and Machine-Learning Platforms Sales and Growth Rate (2015-2020)

11.6 Chile Data Science and Machine-Learning Platforms Sales and Growth Rate (2015-2020)

12 Competitive Landscape

12.1 Microsoft
12.1.1 Microsoft Basic Information
12.1.2 Data Science and Machine-Learning Platforms Product Introduction
12.1.3 Microsoft Production, Value, Price, Gross Margin 2015-2020
12.2 SAP
12.2.1 SAP Basic Information
12.2.2 Data Science and Machine-Learning Platforms Product Introduction
12.2.3 SAP Production, Value, Price, Gross Margin 2015-2020
12.3 Anaconda
12.3.1 Anaconda Basic Information
12.3.2 Data Science and Machine-Learning Platforms Product Introduction
12.3.3 Anaconda Production, Value, Price, Gross Margin 2015-2020
12.4 Lexalytics
12.4.1 Lexalytics Basic Information
12.4.2 Data Science and Machine-Learning Platforms Product Introduction
12.4.3 Lexalytics Production, Value, Price, Gross Margin 2015-2020
12.5 H20.ai
12.5.1 H20.ai Basic Information
12.5.2 Data Science and Machine-Learning Platforms Product Introduction
12.5.3 H20.ai Production, Value, Price, Gross Margin 2015-2020
12.6 Angoss
12.6.1 Angoss Basic Information
12.6.2 Data Science and Machine-Learning Platforms Product Introduction
12.6.3 Angoss Production, Value, Price, Gross Margin 2015-2020
12.7 Dataiku
12.7.1 Dataiku Basic Information
12.7.2 Data Science and Machine-Learning Platforms Product Introduction
12.7.3 Dataiku Production, Value, Price, Gross Margin 2015-2020
12.8 MathWorks
12.8.1 MathWorks Basic Information
12.8.2 Data Science and Machine-Learning Platforms Product Introduction
12.8.3 MathWorks Production, Value, Price, Gross Margin 2015-2020
12.9 Google
12.9.1 Google Basic Information
12.9.2 Data Science and Machine-Learning Platforms Product Introduction
12.9.3 Google Production, Value, Price, Gross Margin 2015-2020
12.10 Domino Data Lab
12.10.1 Domino Data Lab Basic Information
12.10.2 Data Science and Machine-Learning Platforms Product Introduction
12.10.3 Domino Data Lab Production, Value, Price, Gross Margin 2015-2020
12.11 Alteryx
12.11.1 Alteryx Basic Information
12.11.2 Data Science and Machine-Learning Platforms Product Introduction
12.11.3 Alteryx Production, Value, Price, Gross Margin 2015-2020
12.12 KNIME
12.12.1 KNIME Basic Information
12.12.2 Data Science and Machine-Learning Platforms Product Introduction
12.12.3 KNIME Production, Value, Price, Gross Margin 2015-2020
12.13 Databricks
12.13.1 Databricks Basic Information
12.13.2 Data Science and Machine-Learning Platforms Product Introduction
12.13.3 Databricks Production, Value, Price, Gross Margin 2015-2020
12.14 SAS
12.14.1 SAS Basic Information
12.14.2 Data Science and Machine-Learning Platforms Product Introduction
12.14.3 SAS Production, Value, Price, Gross Margin 2015-2020
12.15 Rapid Insight
12.15.1 Rapid Insight Basic Information
12.15.2 Data Science and Machine-Learning Platforms Product Introduction
12.15.3 Rapid Insight Production, Value, Price, Gross Margin 2015-2020
12.16 TIBCO Software
12.16.1 TIBCO Software Basic Information
12.16.2 Data Science and Machine-Learning Platforms Product Introduction
12.16.3 TIBCO Software Production, Value, Price, Gross Margin 2015-2020
12.17 RapidMiner
12.17.1 RapidMiner Basic Information
12.17.2 Data Science and Machine-Learning Platforms Product Introduction
12.17.3 RapidMiner Production, Value, Price, Gross Margin 2015-2020
12.18 IBM
12.18.1 IBM Basic Information
12.18.2 Data Science and Machine-Learning Platforms Product Introduction
12.18.3 IBM Production, Value, Price, Gross Margin 2015-2020

13 Industry Outlook

13.1 Market Driver Analysis

13.1.2 Market Restraints Analysis

13.1.3 Market Trends Analysis

13.2 Merger, Acquisition and New Investment

13.3 News of Product Release

14 Global Data Science and Machine-Learning Platforms Market Forecast

14.1 Global Data Science and Machine-Learning Platforms Market Value & Volume Forecast, by Type (2020-2025)

14.1.1 Open Source Data Integration Tools Market Value and Volume Forecast (2020-2025)
14.1.2 Cloud-based Data Integration Tools Market Value and Volume Forecast (2020-2025)
14.2 Global Data Science and Machine-Learning Platforms Market Value & Volume Forecast, by Application (2020-2025)

14.2.1 Small-Sized Enterprises Market Value and Volume Forecast (2020-2025)
14.2.2 Medium-Sized Enterprise Market Value and Volume Forecast (2020-2025)
14.2.3 Large Enterprises Market Value and Volume Forecast (2020-2025)
14.3 Data Science and Machine-Learning Platforms Market Analysis and Forecast by Region

14.3.1 North America Market Value and Consumption Forecast (2020-2025)

14.3.2 Europe Market Value and Consumption Forecast (2020-2025)

14.3.3 Asia Pacific Market Value and Consumption Forecast (2020-2025)

14.3.4 Middle East and Africa Market Value and Consumption Forecast (2020-2025)

14.3.5 South America Market Value and Consumption Forecast (2020-2025)

15 New Project Feasibility Analysis

15.1 Industry Barriers and New Entrants SWOT Analysis

15.1.1 Porter’s Five Forces Analysis

15.1.2 New Entrants SWOT Analysis

15.2 Analysis and Suggestions on New Project Investment