Table of Contents
1 RESEARCH SCOPE
1.1 Research Product Definition
1.2 Research Segmentation
1.2.1 Product Type
1.2.2 Main product Type of Major Players
1.3 Demand Overview
1.4 Research Methodology
2 GLOBAL CLOUD-BASED DATABASE INDUSTRY
2.1 Summary about Cloud-based Database Industry
2.2 Cloud-based Database Market Trends
2.2.1 Cloud-based Database Production & Consumption Trends
2.2.2 Cloud-based Database Demand Structure Trends
2.3 Cloud-based Database Cost & Price
3 MARKET DYNAMICS
3.1 Manufacturing & Purchasing Behavior in 2020
3.2 Market Development under the Impact of COVID-19
3.2.1 Drivers
3.2.2 Restraints
3.2.3 Opportunity
3.2.4 Risk
4 GLOBAL MARKET SEGMENTATION
4.1 Region Segmentation (2017 to 2021f)
4.1.1 North America (U.S., Canada and Mexico)
4.1.2 Europe (Germany, UK, France, Italy, Rest of Europe)
4.1.3 Asia-Pacific (China, India, Japan, South Korea, Southeast Asia, Australia, Rest of Asia Pacific)
4.1.4 South America (Brazil,, Argentina, Rest of Latin America)
4.1.5 Middle East and Africa (GCC, North Africa, South Africa, Rest of Middle East and Africa)
4.2 Product Type Segmentation (2017 to 2021f)
4.2.1 SQL Database
4.2.2 NoSQL Database
4.3 Consumption Segmentation (2017 to 2021f)
4.3.1 Small and Medium Business
4.3.2 Large Enterprises
5 NORTH AMERICA MARKET SEGMENT
5.1 Region Segmentation (2017 to 2021f)
5.1.1 U.S.
5.1.2 Canada
5.1.3 Mexico
5.2 Product Type Segmentation (2017 to 2021f)
5.2.1 SQL Database
5.2.2 NoSQL Database
5.3 Consumption Segmentation (2017 to 2021f)
5.3.1 Small and Medium Business
5.3.2 Large Enterprises
5.4 Impact of COVID-19 in North America
6 EUROPE MARKET SEGMENTATION
6.1 Region Segmentation (2017 to 2021f)
6.1.1 Germany
6.1.2 UK
6.1.3 France
6.1.4 Italy
6.1.5 Rest of Europe
6.2 Product Type Segmentation (2017 to 2021f)
6.2.1 SQL Database
6.2.2 NoSQL Database
6.3 Consumption Segmentation (2017 to 2021f)
6.3.1 Small and Medium Business
6.3.2 Large Enterprises
6.4 Impact of COVID-19 in Europe
7 ASIA-PACIFIC MARKET SEGMENTATION
7.1 Region Segmentation (2017 to 2021f)
7.1.1 China
7.1.2 India
7.1.3 Japan
7.1.4 South Korea
7.1.5 Southeast Asia
7.1.6 Australia
7.1.7 Rest of Asia Pacific
7.2 Product Type Segmentation (2017 to 2021f)
7.2.1 SQL Database
7.2.2 NoSQL Database
7.3 Consumption Segmentation (2017 to 2021f)
7.3.1 Small and Medium Business
7.3.2 Large Enterprises
7.4 Impact of COVID-19 in Europe
8 SOUTH AMERICA MARKET SEGMENTATION
8.1 Region Segmentation (2017 to 2021f)
8.1.1 Brazil
8.1.2 Argentina
8.1.3 Rest of Latin America
8.2 Product Type Segmentation (2017 to 2021f)
8.2.1 SQL Database
8.2.2 NoSQL Database
8.3 Consumption Segmentation (2017 to 2021f)
8.3.1 Small and Medium Business
8.3.2 Large Enterprises
8.4 Impact of COVID-19 in Europe
9 MIDDLE EAST AND AFRICA MARKET SEGMENTATION
9.1 Region Segmentation (2017 to 2021f)
9.1.1 GCC
9.1.2 North Africa
9.1.3 South Africa
9.1.4 Rest of Middle East and Africa
9.2 Product Type Segmentation (2017 to 2021f)
9.2.1 SQL Database
9.2.2 NoSQL Database
9.3 Consumption Segmentation (2017 to 2021f)
9.3.1 Small and Medium Business
9.3.2 Large Enterprises
9.4 Impact of COVID-19 in Europe
10 COMPETITION OF MAJOR PLAYERS
10.1 Brief Introduction of Major Players
10.1.1 Google
10.1.2 Amazon Web Services
10.1.3 IBM
10.1.4 Microsoft
10.1.5 Oracle
10.1.6 Rackspace Hosting
10.1.7 Salesforce
10.1.8 Cassandra
10.1.9 Couchbase
10.1.10 MongoDB
10.1.11 SAP
10.1.12 Teradata
10.1.13 Alibaba
10.1.14 Tencent
10.2 Cloud-based Database Sales Date of Major Players (2017-2020e)
10.2.1 Google
10.2.2 Amazon Web Services
10.2.3 IBM
10.2.4 Microsoft
10.2.5 Oracle
10.2.6 Rackspace Hosting
10.2.7 Salesforce
10.2.8 Cassandra
10.2.9 Couchbase
10.2.10 MongoDB
10.2.11 SAP
10.2.12 Teradata
10.2.13 Alibaba
10.2.14 Tencent
10.3 Market Distribution of Major Players
10.4 Global Competition Segmentation
11 MARKET FORECAST
11.1 Forecast by Region
11.2 Forecast by Demand
11.3 Environment Forecast
11.3.1 Impact of COVID-19
11.3.2 Geopolitics Overview
11.3.3 Economic Overview of Major Countries
12 REPORT SUMMARY STATEMENT
