Market Overview:
The global autonomous data management platform market is expected to grow at a CAGR of XX% during the forecast period from 2018 to 2030. The growth in this market can be attributed to the increasing demand for big data and analytics solutions, rising need for data governance and compliance, and growing trend of cloud-based deployments. The global autonomous data management platform market is segmented on the basis of type, application, and region. On the basis of type, the market is segmented into on-premises and cloud-based deployments. The on-premises deployment segment dominates the global autonomous data management platform market owing to its advantages such as low cost of ownership and better security features as compared to cloud-based deployments. However, with increasing acceptance of cloud technology among enterprises worldwide, the cloud-based deployment segment is expected to grow at a higher CAGR during the forecast period from 2018 to 2030. On the basis of application,the global autonomous data management platformmarketis divided into BFSI (banking & financial services industry), healthcare & life sciences sector,, retail sector,, manufacturing sector,, telecommunication & media sector,, government sector,,and others segments including transportation& logistics,. Among these applications segments,.
Product Definition:
An autonomous data management platform is a software-defined storage infrastructure that enables companies to manage and govern their data independently of the underlying hardware. Autonomous data management platforms provide self-service capabilities, so users can easily provision storage capacity and performance on demand. They also include built-in intelligence that helps to optimize storage utilization, protect against data loss, and ensure compliance with corporate governance policies. By automating many of the manual tasks associated with managing complex storage environments, autonomous data management platforms can help businesses reduce costs and improve efficiency.
On-Premises:
On-premises, it's usage and growth factor in the Autonomous Data Management Platform market is expected to witness significant growth over the forecast period. The major factors that are driving this market include increasing demand for data security and privacy by organizations, rising need for reducing IT costs by enterprises as well as growing adoption of cloud computing among small & medium businesses.
Cloud Based:
Cloud based solutions are used to store, manage and process data. It is a shared pool of digital assets that can be easily accessed by authorized users from any location through an Internet connection. Cloud-based ADMP platform provides benefits such as reduced cost, scalability & flexibility along with improved security and faster time to market for the companies. The companies can reduce their IT infrastructure costs by moving their data to cloud platforms which in turn reduces operational expenses significantly.
Application Insights:
The others application segment includes energy, transportation, and public infrastructure. The platform is being used in various applications across the public infrastructure sector such as water treatment plant management, road maintenance, traffic management and parking facility management. In addition, it is also being increasingly used in transportation applications such as vehicle to vehicle communication for instance connected cars or self-driving vehicles which are expected to drive the market growth over the forecast period.
The BFSI segment dominated the global autonomous data management platform market by application with a revenue share of over 24% in 2017 owing to increasing demand from banks for efficient information flow across departments within an organization. Moreover, growing digitalization trends within banks further fuel their need for advanced IT solutions that can help them manage data effectively and efficiently while reducing costs associated with managing legacy systems. This trend has led many businesses operating across multiple industries including technology companies adopt cloud computing platforms thereby driving demand for ADM platforms among BFSI organizations globally.
Regional Analysis:
The market in North America is expected to grow at a significant rate over the forecast period. The growth can be attributed to increasing investments by companies for developing advanced technologies and applications that can enhance their core business operations. For instance, in September 2017, IBM announced its partnership with the Memorial Sloan Kettering Cancer Center (MSK) to develop an autonomous data management platform for patient care records.
In Europe, organizations are focusing on reducing costs associated with traditional IT infrastructure while also gaining flexibility and control over their data center environment through automation. Furthermore, rising demand for connected devices has led manufacturers such as Huawei Technologies Co., Ltd., Samsung Electronics Co., Ltd.
Growth Factors:
- Increasing demand for big data and analytics: The growth of autonomous data management platforms is directly proportional to the growth of big data and analytics. With organizations generating, collecting, and storing more data than ever before, there is a greater need for technologies that can help manage and make sense of all this information. Autonomous data management platforms are well-equipped to handle the complexities of big data and provide valuable insights that can help businesses make better decisions.
- Proliferation of IoT devices: The number of Internet-connected devices (IoT) is growing at an alarming rate, with estimates predicting there will be over 20 billion IoT devices by 2020. This proliferation of connected devices means businesses will have an even greater influx of streaming or real-time data to contend with – something autonomous data management platforms are perfectly suited for handling.
- Shift from traditional storage methods to cloud storage: More businesses are moving away from traditional storage methods (such as on-premises servers) in favor of cloud storage solutions due to the many benefits they offer such as scalability, flexibility, and cost savings. Autonomous Data Management Platforms work seamlessly with cloud storage solutions making them an ideal choice for organizations looking to take advantage these benefits .
Scope Of The Report
Report Attributes
Report Details
Report Title
Autonomous Data Management Platform Market Research Report
By Type
On-Premises, Cloud Based
By Application
BFSI, Healthcare and Life Sciences, Retail, Manufacturing, Telecommunication and Media, Government, Others
By Companies
Oracle, Amazon Web Services, Teradata, IBM, Qubole, Dvsum, MapR, Cloudera, Ataccama, Gemini Data, Denodo, Alteryx, Datrium, Zaloni, Paxata
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
156
Number of Tables & Figures
110
Customization Available
Yes, the report can be customized as per your need.
Global Autonomous Data Management Platform Market Report Segments:
The global Autonomous Data Management Platform market is segmented on the basis of:
Types
On-Premises, Cloud Based
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
BFSI, Healthcare and Life Sciences, Retail, Manufacturing, Telecommunication and Media, Government, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Oracle
- Amazon Web Services
- Teradata
- IBM
- Qubole
- Dvsum
- MapR
- Cloudera
- Ataccama
- Gemini Data
- Denodo
- Alteryx
- Datrium
- Zaloni
- Paxata
Highlights of The Autonomous Data Management Platform Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- On-Premises
- Cloud Based
- By Application:
- BFSI
- Healthcare and Life Sciences
- Retail
- Manufacturing
- Telecommunication and Media
- Government
- Others
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Autonomous Data Management Platform Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
An autonomous data management platform (ADMP) is a software application that automates the collection, storage, analysis and presentation of data. ADMPs can be used to manage large volumes of structured or unstructured data from any source.
Some of the major companies in the autonomous data management platform market are Oracle, Amazon Web Services, Teradata, IBM, Qubole, Dvsum, MapR, Cloudera, Ataccama, Gemini Data, Denodo, Alteryx, Datrium, Zaloni, Paxata.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Autonomous Data Management Platform Market Overview 4.1 Introduction 4.1.1 Market Taxonomy 4.1.2 Market Definition 4.1.3 Macro-Economic Factors Impacting the Market Growth 4.2 Autonomous Data Management Platform Market Dynamics 4.2.1 Market Drivers 4.2.2 Market Restraints 4.2.3 Market Opportunity 4.3 Autonomous Data Management Platform Market - Supply Chain Analysis 4.3.1 List of Key Suppliers 4.3.2 List of Key Distributors 4.3.3 List of Key Consumers 4.4 Key Forces Shaping the Autonomous Data Management Platform Market 4.4.1 Bargaining Power of Suppliers 4.4.2 Bargaining Power of Buyers 4.4.3 Threat of Substitution 4.4.4 Threat of New Entrants 4.4.5 Competitive Rivalry 4.5 Global Autonomous Data Management Platform Market Size & Forecast, 2018-2028 4.5.1 Autonomous Data Management Platform Market Size and Y-o-Y Growth 4.5.2 Autonomous Data Management Platform Market Absolute $ Opportunity
Chapter 5 Global Autonomous Data Management Platform Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Autonomous Data Management Platform Market Size Forecast by Type
5.2.1 On-Premises
5.2.2 Cloud Based
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Autonomous Data Management Platform Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Autonomous Data Management Platform Market Size Forecast by Applications
6.2.1 BFSI
6.2.2 Healthcare and Life Sciences
6.2.3 Retail
6.2.4 Manufacturing
6.2.5 Telecommunication and Media
6.2.6 Government
6.2.7 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Autonomous Data Management Platform Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Autonomous Data Management Platform Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Autonomous Data Management Platform Analysis and Forecast
9.1 Introduction
9.2 North America Autonomous Data Management Platform Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Autonomous Data Management Platform Market Size Forecast by Type
9.6.1 On-Premises
9.6.2 Cloud Based
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Autonomous Data Management Platform Market Size Forecast by Applications
9.10.1 BFSI
9.10.2 Healthcare and Life Sciences
9.10.3 Retail
9.10.4 Manufacturing
9.10.5 Telecommunication and Media
9.10.6 Government
9.10.7 Others
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Autonomous Data Management Platform Analysis and Forecast
10.1 Introduction
10.2 Europe Autonomous Data Management Platform Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Autonomous Data Management Platform Market Size Forecast by Type
10.6.1 On-Premises
10.6.2 Cloud Based
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Autonomous Data Management Platform Market Size Forecast by Applications
10.10.1 BFSI
10.10.2 Healthcare and Life Sciences
10.10.3 Retail
10.10.4 Manufacturing
10.10.5 Telecommunication and Media
10.10.6 Government
10.10.7 Others
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Autonomous Data Management Platform Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Autonomous Data Management Platform Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Autonomous Data Management Platform Market Size Forecast by Type
11.6.1 On-Premises
11.6.2 Cloud Based
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Autonomous Data Management Platform Market Size Forecast by Applications
11.10.1 BFSI
11.10.2 Healthcare and Life Sciences
11.10.3 Retail
11.10.4 Manufacturing
11.10.5 Telecommunication and Media
11.10.6 Government
11.10.7 Others
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Autonomous Data Management Platform Analysis and Forecast
12.1 Introduction
12.2 Latin America Autonomous Data Management Platform Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Autonomous Data Management Platform Market Size Forecast by Type
12.6.1 On-Premises
12.6.2 Cloud Based
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Autonomous Data Management Platform Market Size Forecast by Applications
12.10.1 BFSI
12.10.2 Healthcare and Life Sciences
12.10.3 Retail
12.10.4 Manufacturing
12.10.5 Telecommunication and Media
12.10.6 Government
12.10.7 Others
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Autonomous Data Management Platform Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Autonomous Data Management Platform Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Autonomous Data Management Platform Market Size Forecast by Type
13.6.1 On-Premises
13.6.2 Cloud Based
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Autonomous Data Management Platform Market Size Forecast by Applications
13.10.1 BFSI
13.10.2 Healthcare and Life Sciences
13.10.3 Retail
13.10.4 Manufacturing
13.10.5 Telecommunication and Media
13.10.6 Government
13.10.7 Others
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Autonomous Data Management Platform Market: Competitive Dashboard
14.2 Global Autonomous Data Management Platform Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Oracle
14.3.2 Amazon Web Services
14.3.3 Teradata
14.3.4 IBM
14.3.5 Qubole
14.3.6 Dvsum
14.3.7 MapR
14.3.8 Cloudera
14.3.9 Ataccama
14.3.10 Gemini Data
14.3.11 Denodo
14.3.12 Alteryx
14.3.13 Datrium
14.3.14 Zaloni
14.3.15 Paxata