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Global Automated Data Management Tools Market Research Report 2025
Synopsis
Automated Data Management Tools are intelligent software solutions that simplify data management tasks within organizations through machine learning and artificial intelligence, helping organizations effectively improve their ability to manage large amounts of dynamic data.
Global Automated Data Management Tools market is projected to reach US$ million in 2029, increasing from US$ million in 2022, with the CAGR of % during the period of 2023 to 2029. Influencing issues, such as economy environments, COVID-19 and Russia-Ukraine War, have led to great market fluctuations in the past few years and are considered comprehensively in the whole Automated Data Management Tools market research.
With the high development of artificial intelligence and cloud services, digital transformation has become an inevitable trend, and the old data management model and infrastructure are difficult to carry the increasing amount of data. Cloud-based Automated Data Management Tools demand is expected to grow in the near future.
Report Scope
This report, based on historical analysis (2018-2022) and forecast calculation (2023-2029), aims to help readers to get a comprehensive understanding of global Automated Data Management Tools market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.
By Company
Amazon
IBM
Alibaba
Google
Oracle
Cohesity
Deloitte
Informatica
Huawei
GoldenSource
ScienceSoft
Hewlett Packard Enterprise Development
Rubrik
Druva
Tableau
Antea
Blue Tree
SimCorp
SAP
Segment by Type
Public Cloud
Private Cloud
Hybrid Cloud
Segment by Application
Government
BFSI
Network and Communication
Education
Industrial
Retail
Healthcare
Other
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
The Automated Data Management Tools report covers below items:
Chapter 1: Product Basic Information (Definition, Type and Application)
Chapter 2: Global market size, regional market size. Market Opportunities and Challenges
Chapter 3: Companies’ Competition Patterns
Chapter 4: Product Type Analysis
Chapter 5: Product Application Analysis
Chapter 6 to 10: Country Level Value Analysis
Chapter 11: Companies’ Outline
Chapter 12: Market Conclusions
Chapter 13: Research Methodology and Data Source
Automated Data Management Tools are intelligent software solutions that simplify data management tasks within organizations through machine learning and artificial intelligence, helping organizations effectively improve their ability to manage large amounts of dynamic data.
Global Automated Data Management Tools market is projected to reach US$ million in 2029, increasing from US$ million in 2022, with the CAGR of % during the period of 2023 to 2029. Influencing issues, such as economy environments, COVID-19 and Russia-Ukraine War, have led to great market fluctuations in the past few years and are considered comprehensively in the whole Automated Data Management Tools market research.
With the high development of artificial intelligence and cloud services, digital transformation has become an inevitable trend, and the old data management model and infrastructure are difficult to carry the increasing amount of data. Cloud-based Automated Data Management Tools demand is expected to grow in the near future.
Report Scope
This report, based on historical analysis (2018-2022) and forecast calculation (2023-2029), aims to help readers to get a comprehensive understanding of global Automated Data Management Tools market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.
By Company
Amazon
IBM
Alibaba
Oracle
Cohesity
Deloitte
Informatica
Huawei
GoldenSource
ScienceSoft
Hewlett Packard Enterprise Development
Rubrik
Druva
Tableau
Antea
Blue Tree
SimCorp
SAP
Segment by Type
Public Cloud
Private Cloud
Hybrid Cloud
Segment by Application
Government
BFSI
Network and Communication
Education
Industrial
Retail
Healthcare
Other
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
The Automated Data Management Tools report covers below items:
Chapter 1: Product Basic Information (Definition, Type and Application)
Chapter 2: Global market size, regional market size. Market Opportunities and Challenges
Chapter 3: Companies’ Competition Patterns
Chapter 4: Product Type Analysis
Chapter 5: Product Application Analysis
Chapter 6 to 10: Country Level Value Analysis
Chapter 11: Companies’ Outline
Chapter 12: Market Conclusions
Chapter 13: Research Methodology and Data Source
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Automated Data Management Tools Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Public Cloud
1.2.3 Private Cloud
1.2.4 Hybrid Cloud
1.3 Market by Application
1.3.1 Global Automated Data Management Tools Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Government
1.3.3 BFSI
1.3.4 Network and Communication
1.3.5 Education
1.3.6 Industrial
1.3.7 Retail
1.3.8 Healthcare
1.3.9 Other
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Automated Data Management Tools Market Perspective (2018-2029)
2.2 Automated Data Management Tools Growth Trends by Region
2.2.1 Global Automated Data Management Tools Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Automated Data Management Tools Historic Market Size by Region (2018-2023)
2.2.3 Automated Data Management Tools Forecasted Market Size by Region (2024-2029)
2.3 Automated Data Management Tools Market Dynamics
2.3.1 Automated Data Management Tools Industry Trends
2.3.2 Automated Data Management Tools Market Drivers
2.3.3 Automated Data Management Tools Market Challenges
2.3.4 Automated Data Management Tools Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Automated Data Management Tools Players by Revenue
3.1.1 Global Top Automated Data Management Tools Players by Revenue (2018-2023)
3.1.2 Global Automated Data Management Tools Revenue Market Share by Players (2018-2023)
3.2 Global Automated Data Management Tools Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Automated Data Management Tools Revenue
3.4 Global Automated Data Management Tools Market Concentration Ratio
3.4.1 Global Automated Data Management Tools Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Automated Data Management Tools Revenue in 2022
3.5 Automated Data Management Tools Key Players Head office and Area Served
3.6 Key Players Automated Data Management Tools Product Solution and Service
3.7 Date of Enter into Automated Data Management Tools Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Automated Data Management Tools Breakdown Data by Type
4.1 Global Automated Data Management Tools Historic Market Size by Type (2018-2023)
4.2 Global Automated Data Management Tools Forecasted Market Size by Type (2024-2029)
5 Automated Data Management Tools Breakdown Data by Application
5.1 Global Automated Data Management Tools Historic Market Size by Application (2018-2023)
5.2 Global Automated Data Management Tools Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Automated Data Management Tools Market Size (2018-2029)
6.2 North America Automated Data Management Tools Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Automated Data Management Tools Market Size by Country (2018-2023)
6.4 North America Automated Data Management Tools Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Automated Data Management Tools Market Size (2018-2029)
7.2 Europe Automated Data Management Tools Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Automated Data Management Tools Market Size by Country (2018-2023)
7.4 Europe Automated Data Management Tools Market Size by Country (2024-2029)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Automated Data Management Tools Market Size (2018-2029)
8.2 Asia-Pacific Automated Data Management Tools Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Automated Data Management Tools Market Size by Region (2018-2023)
8.4 Asia-Pacific Automated Data Management Tools Market Size by Region (2024-2029)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Automated Data Management Tools Market Size (2018-2029)
9.2 Latin America Automated Data Management Tools Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Automated Data Management Tools Market Size by Country (2018-2023)
9.4 Latin America Automated Data Management Tools Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Automated Data Management Tools Market Size (2018-2029)
10.2 Middle East & Africa Automated Data Management Tools Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Automated Data Management Tools Market Size by Country (2018-2023)
10.4 Middle East & Africa Automated Data Management Tools Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Amazon
11.1.1 Amazon Company Detail
11.1.2 Amazon Business Overview
11.1.3 Amazon Automated Data Management Tools Introduction
11.1.4 Amazon Revenue in Automated Data Management Tools Business (2018-2023)
11.1.5 Amazon Recent Development
11.2 IBM
11.2.1 IBM Company Detail
11.2.2 IBM Business Overview
11.2.3 IBM Automated Data Management Tools Introduction
11.2.4 IBM Revenue in Automated Data Management Tools Business (2018-2023)
11.2.5 IBM Recent Development
11.3 Alibaba
11.3.1 Alibaba Company Detail
11.3.2 Alibaba Business Overview
11.3.3 Alibaba Automated Data Management Tools Introduction
11.3.4 Alibaba Revenue in Automated Data Management Tools Business (2018-2023)
11.3.5 Alibaba Recent Development
11.4 Google
11.4.1 Google Company Detail
11.4.2 Google Business Overview
11.4.3 Google Automated Data Management Tools Introduction
11.4.4 Google Revenue in Automated Data Management Tools Business (2018-2023)
11.4.5 Google Recent Development
11.5 Oracle
11.5.1 Oracle Company Detail
11.5.2 Oracle Business Overview
11.5.3 Oracle Automated Data Management Tools Introduction
11.5.4 Oracle Revenue in Automated Data Management Tools Business (2018-2023)
11.5.5 Oracle Recent Development
11.6 Cohesity
11.6.1 Cohesity Company Detail
11.6.2 Cohesity Business Overview
11.6.3 Cohesity Automated Data Management Tools Introduction
11.6.4 Cohesity Revenue in Automated Data Management Tools Business (2018-2023)
11.6.5 Cohesity Recent Development
11.7 Deloitte
11.7.1 Deloitte Company Detail
11.7.2 Deloitte Business Overview
11.7.3 Deloitte Automated Data Management Tools Introduction
11.7.4 Deloitte Revenue in Automated Data Management Tools Business (2018-2023)
11.7.5 Deloitte Recent Development
11.8 Informatica
11.8.1 Informatica Company Detail
11.8.2 Informatica Business Overview
11.8.3 Informatica Automated Data Management Tools Introduction
11.8.4 Informatica Revenue in Automated Data Management Tools Business (2018-2023)
11.8.5 Informatica Recent Development
11.9 Huawei
11.9.1 Huawei Company Detail
11.9.2 Huawei Business Overview
11.9.3 Huawei Automated Data Management Tools Introduction
11.9.4 Huawei Revenue in Automated Data Management Tools Business (2018-2023)
11.9.5 Huawei Recent Development
11.10 GoldenSource
11.10.1 GoldenSource Company Detail
11.10.2 GoldenSource Business Overview
11.10.3 GoldenSource Automated Data Management Tools Introduction
11.10.4 GoldenSource Revenue in Automated Data Management Tools Business (2018-2023)
11.10.5 GoldenSource Recent Development
11.11 ScienceSoft
11.11.1 ScienceSoft Company Detail
11.11.2 ScienceSoft Business Overview
11.11.3 ScienceSoft Automated Data Management Tools Introduction
11.11.4 ScienceSoft Revenue in Automated Data Management Tools Business (2018-2023)
11.11.5 ScienceSoft Recent Development
11.12 Hewlett Packard Enterprise Development
11.12.1 Hewlett Packard Enterprise Development Company Detail
11.12.2 Hewlett Packard Enterprise Development Business Overview
11.12.3 Hewlett Packard Enterprise Development Automated Data Management Tools Introduction
11.12.4 Hewlett Packard Enterprise Development Revenue in Automated Data Management Tools Business (2018-2023)
11.12.5 Hewlett Packard Enterprise Development Recent Development
11.13 Rubrik
11.13.1 Rubrik Company Detail
11.13.2 Rubrik Business Overview
11.13.3 Rubrik Automated Data Management Tools Introduction
11.13.4 Rubrik Revenue in Automated Data Management Tools Business (2018-2023)
11.13.5 Rubrik Recent Development
11.14 Druva
11.14.1 Druva Company Detail
11.14.2 Druva Business Overview
11.14.3 Druva Automated Data Management Tools Introduction
11.14.4 Druva Revenue in Automated Data Management Tools Business (2018-2023)
11.14.5 Druva Recent Development
11.15 Tableau
11.15.1 Tableau Company Detail
11.15.2 Tableau Business Overview
11.15.3 Tableau Automated Data Management Tools Introduction
11.15.4 Tableau Revenue in Automated Data Management Tools Business (2018-2023)
11.15.5 Tableau Recent Development
11.16 Antea
11.16.1 Antea Company Detail
11.16.2 Antea Business Overview
11.16.3 Antea Automated Data Management Tools Introduction
11.16.4 Antea Revenue in Automated Data Management Tools Business (2018-2023)
11.16.5 Antea Recent Development
11.17 Blue Tree
11.17.1 Blue Tree Company Detail
11.17.2 Blue Tree Business Overview
11.17.3 Blue Tree Automated Data Management Tools Introduction
11.17.4 Blue Tree Revenue in Automated Data Management Tools Business (2018-2023)
11.17.5 Blue Tree Recent Development
11.18 SimCorp
11.18.1 SimCorp Company Detail
11.18.2 SimCorp Business Overview
11.18.3 SimCorp Automated Data Management Tools Introduction
11.18.4 SimCorp Revenue in Automated Data Management Tools Business (2018-2023)
11.18.5 SimCorp Recent Development
11.19 SAP
11.19.1 SAP Company Detail
11.19.2 SAP Business Overview
11.19.3 SAP Automated Data Management Tools Introduction
11.19.4 SAP Revenue in Automated Data Management Tools Business (2018-2023)
11.19.5 SAP Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Published By : QY Research
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