Latest Update: Impact of current COVID-19 situation has been considered in this report while making the analysis.
Global Autonomous Data Management Platform Market by Type (On-Premises, Cloud Based), By Application (BFSI, Healthcare and Life Sciences, Retail, Manufacturing, Telecommunication and Media, Government, Others) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030-report

Global Autonomous Data Management Platform Market by Type (On-Premises, Cloud Based), By Application (BFSI, Healthcare and Life Sciences, Retail, Manufacturing, Telecommunication and Media, Government, Others) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030

Report ID: 230108 4200 Service & Software 377 156 Pages 4.7 (47)
                                          

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,.


Global Autonomous Data Management Platform Industry Outlook


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:

  1. Oracle
  2. Amazon Web Services
  3. Teradata
  4. IBM
  5. Qubole
  6. Dvsum
  7. MapR
  8. Cloudera
  9. Ataccama
  10. Gemini Data
  11. Denodo
  12. Alteryx
  13. Datrium
  14. Zaloni
  15. Paxata

Global Autonomous Data Management Platform Market Overview


Highlights of The Autonomous Data Management Platform Market Report:

  1. The market structure and projections for the coming years.
  2. Drivers, restraints, opportunities, and current trends of market.
  3. Historical data and forecast.
  4. Estimations for the forecast period 2030.
  5. Developments and trends in the market.
  6. By Type:

    1. On-Premises
    2. Cloud Based
  1. By Application:

    1. BFSI
    2. Healthcare and Life Sciences
    3. Retail
    4. Manufacturing
    5. Telecommunication and Media
    6. Government
    7. Others
  1. Market scenario by region, sub-region, and country.
  2. Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
  3. Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
  4. 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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Global Autonomous Data Management Platform Market Statistics

8 Reasons to Buy This Report

  1. Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
  2. Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
  3. Implemented Robust Methodology to Prepare the Report
  4. Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
  5. Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
  6. Provides Information About the Top-winning Strategies Implemented by Industry Players.
  7. In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
  8. 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

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