Converged Data Platform Market 2028 By Hypervisor type, Component, Industry and Geography | The Insight Partners

    Converged Data Platform Market Forecast to 2028 - COVID-19 Impact and Global Analysis By Hypervisor type (VMware, KVM, Hyper-V); Component (Software, Services); Industry (BFSI, Healthcare, Government, Education, IT and telecom) and Geography

    Report Code: TIPRE00026041 | No. of Pages: 150 | Category: Technology, Media and Telecommunications | Status: Upcoming

    MARKET OVERVIEW

    The converged data platform is a data centre management method that intends to decrease compatibility issues between storage systems, network devices, and servers by lowering cooling, power, floor space, and cabling costs. Standalone appliances, reference architecture, or a software-driven hyper-converged solution are used to create a converged data platform. This platform provides scalable architectural maintenance to a variety of platforms, including data services, telephony, and video via a specific device. Enterprise routing, firewalls, VPNs, voice switching, application services, Wi-Fi access, and WAN are just a few of the functions performed by converged data platforms.

    MARKET SCOPE

    The "Global Converged Data Platform Market Analysis to 2028" is a specialized and in-depth study of the Converged data platform market with a special focus on the global market trend analysis. The report aims to provide an overview of Converged data platform market with detailed market segmentation by hypervisor type, component, industry, and geography. The global Converged data platform market is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the leading Converged data platform market players and offers key trends and opportunities in the Converged data platform market.

    MARKET SEGMENTATION

    •   The converged data platform market can be segmented by hypervisor type, application, vertical, and geography.
    •   By hypervisor type, the market can be segmented into VMware, KVM, and Hyper-V.
    •   On the basis of component, the market can be segmented into virtual desktop infrastructure, server virtualization, data protection and others.
    •   On the basis of industry vertical, the market has been segmented into financial Institutions, healthcare, government, education, and IT & telecom.

    MARKET DYNAMICS
    Drivers:

    •   Increase in the use of virtualization.
    •   High adoption of scalable solutions.

    Restraints:

    •   End users do not have any control on the converged data platforms as only a vendor is responsible for any change all the authority rests with the vendor.

    REGIONAL FRAMEWORK

    The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides an overview and forecast of the global market based on various segments. It also provides market size and forecast estimates from the year 2019 to 2028 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), the Middle East and Africa (MEA), and South America. The Converged data platform market by each region is later sub-segmented by respective countries and segments. The report covers the analysis and forecast of 18 countries globally along with the current trend and opportunities prevailing in the region.

    The report analyzes factors affecting the market from both demand and supply side and further evaluates market dynamics affecting the marketduring the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA, and South America after evaluating political, economic, social and technological factors affecting the Converged data platform market in these regions.

    IMPACT OF COVID-19 ON CONVERGED DATA PLATFORM MARKET

    The COVID-19 pandemic has negatively affected the global Converged data platform market. The prioritization of healthcare and goals of curbing the disease from spreading in countries has slashed the budgets of renewable energy schemes. Reliance on solar modules and panels imported from China has affected the industry at large. The effect of the pandemic on auction bids and installations can derail future renewable energy investments. Policy changes that usher in flexibility in current models of electricity systems and calculate for losses during cloud cover and wind gusts can push the industry towards new horizons.



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    MARKET PLAYERS


    The report covers key developments in the Converged data platform market organic and inorganic growth strategies. Various companies are focusing on organic growth strategies such as product launches, product approvals and others such as patents and events. Inorganic growth strategies activities witnessed in the marketwere acquisitions, and partnership & collaborations. These activities have paved way for the expansion of business and customer base of market players. The market payers from Converged data platformmarket market are anticipated to lucrative growth opportunities in the future with the rising demand for Converged data platform market in the global market.

    The report also includes the profiles of key companies along with their SWOT analysis and market strategies in the Converged data platform market. In addition, the report focuses on leading industry players with information such as company profiles, components, and services offered, financial information of the last 3 years, the key development in the past five years.

    •   Vmware Inc
    •   Simplivity Corporation
    •   Scale Computing.
    •   Nutanix Inc
    •   Pivot3
    •   Nimboxx Inc.
    •   Cisco Systems, Inc
    •   Maxta Inc
    •   Gridstore, Inc
    •   IBM
    •   Hewlett Packard Enterprise Company
    The Insight Partner's dedicated research and analysis team consist of experienced professionals with advanced statistical expertise and offer various customization options in the existing study.


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    TABLE OF CONTENTS

    1. INTRODUCTION
    1.1. SCOPE OF THE STUDY
    1.2. THE INSIGHT PARTNERS RESEARCH REPORT GUIDANCE
    1.3. MARKET SEGMENTATION
    1.3.1 Converged Data Platform - By Hypervisor type
    1.3.2 Converged Data Platform - By Component
    1.3.3 Converged Data Platform - By Industry
    1.3.4 Converged Data Platform - By Region
    1.3.4.1 By Country

    2. KEY TAKEAWAYS

    3. RESEARCH METHODOLOGY

    4. CONVERGED DATA PLATFORM LANDSCAPE
    4.1. OVERVIEW
    4.2. PEST ANALYSIS
    4.2.1 North America - Pest Analysis
    4.2.2 Europe - Pest Analysis
    4.2.3 Asia-Pacific - Pest Analysis
    4.2.4 Middle East and Africa - Pest Analysis
    4.2.5 South and Central America - Pest Analysis
    4.3. ECOSYSTEM ANALYSIS
    4.4. EXPERT OPINIONS

    5. CONVERGED DATA PLATFORM - KEY MARKET DYNAMICS
    5.1. KEY MARKET DRIVERS
    5.2. KEY MARKET RESTRAINTS
    5.3. KEY MARKET OPPORTUNITIES
    5.4. FUTURE TRENDS
    5.5. IMPACT ANALYSIS OF DRIVERS AND RESTRAINTS

    6. CONVERGED DATA PLATFORM - GLOBAL MARKET ANALYSIS
    6.1. CONVERGED DATA PLATFORM - GLOBAL MARKET OVERVIEW
    6.2. CONVERGED DATA PLATFORM - GLOBAL MARKET AND FORECAST TO 2028
    6.3. MARKET POSITIONING

    7. CONVERGED DATA PLATFORM - REVENUE AND FORECASTS TO 2028 - HYPERVISOR TYPE
    7.1. OVERVIEW
    7.2. HYPERVISOR TYPE MARKET FORECASTS AND ANALYSIS
    7.3. VMWARE
    7.3.1. Overview
    7.3.2. VMware Market Forecast and Analysis
    7.4. KVM
    7.4.1. Overview
    7.4.2. KVM Market Forecast and Analysis
    7.5. HYPER-V
    7.5.1. Overview
    7.5.2. Hyper-V Market Forecast and Analysis
    8. CONVERGED DATA PLATFORM - REVENUE AND FORECASTS TO 2028 - COMPONENT
    8.1. OVERVIEW
    8.2. COMPONENT MARKET FORECASTS AND ANALYSIS
    8.3. SOFTWARE
    8.3.1. Overview
    8.3.2. Software Market Forecast and Analysis
    8.4. SERVICES
    8.4.1. Overview
    8.4.2. Services Market Forecast and Analysis
    9. CONVERGED DATA PLATFORM - REVENUE AND FORECASTS TO 2028 - INDUSTRY
    9.1. OVERVIEW
    9.2. INDUSTRY MARKET FORECASTS AND ANALYSIS
    9.3. BFSI
    9.3.1. Overview
    9.3.2. BFSI Market Forecast and Analysis
    9.4. HEALTHCARE
    9.4.1. Overview
    9.4.2. Healthcare Market Forecast and Analysis
    9.5. GOVERNMENT
    9.5.1. Overview
    9.5.2. Government Market Forecast and Analysis
    9.6. EDUCATION
    9.6.1. Overview
    9.6.2. Education Market Forecast and Analysis
    9.7. IT AND TELECOM
    9.7.1. Overview
    9.7.2. IT and telecom Market Forecast and Analysis

    10. CONVERGED DATA PLATFORM REVENUE AND FORECASTS TO 2028 - GEOGRAPHICAL ANALYSIS
    10.1. NORTH AMERICA
    10.1.1 North America Converged Data Platform Overview
    10.1.2 North America Converged Data Platform Forecasts and Analysis
    10.1.3 North America Converged Data Platform Forecasts and Analysis - By Hypervisor type
    10.1.4 North America Converged Data Platform Forecasts and Analysis - By Component
    10.1.5 North America Converged Data Platform Forecasts and Analysis - By Industry
    10.1.6 North America Converged Data Platform Forecasts and Analysis - By Countries
    10.1.6.1 United States Converged Data Platform
    10.1.6.1.1 United States Converged Data Platform by Hypervisor type
    10.1.6.1.2 United States Converged Data Platform by Component
    10.1.6.1.3 United States Converged Data Platform by Industry
    10.1.6.2 Canada Converged Data Platform
    10.1.6.2.1 Canada Converged Data Platform by Hypervisor type
    10.1.6.2.2 Canada Converged Data Platform by Component
    10.1.6.2.3 Canada Converged Data Platform by Industry
    10.1.6.3 Mexico Converged Data Platform
    10.1.6.3.1 Mexico Converged Data Platform by Hypervisor type
    10.1.6.3.2 Mexico Converged Data Platform by Component
    10.1.6.3.3 Mexico Converged Data Platform by Industry
    10.2. EUROPE
    10.2.1 Europe Converged Data Platform Overview
    10.2.2 Europe Converged Data Platform Forecasts and Analysis
    10.2.3 Europe Converged Data Platform Forecasts and Analysis - By Hypervisor type
    10.2.4 Europe Converged Data Platform Forecasts and Analysis - By Component
    10.2.5 Europe Converged Data Platform Forecasts and Analysis - By Industry
    10.2.6 Europe Converged Data Platform Forecasts and Analysis - By Countries
    10.2.6.1 Germany Converged Data Platform
    10.2.6.1.1 Germany Converged Data Platform by Hypervisor type
    10.2.6.1.2 Germany Converged Data Platform by Component
    10.2.6.1.3 Germany Converged Data Platform by Industry
    10.2.6.2 France Converged Data Platform
    10.2.6.2.1 France Converged Data Platform by Hypervisor type
    10.2.6.2.2 France Converged Data Platform by Component
    10.2.6.2.3 France Converged Data Platform by Industry
    10.2.6.3 Italy Converged Data Platform
    10.2.6.3.1 Italy Converged Data Platform by Hypervisor type
    10.2.6.3.2 Italy Converged Data Platform by Component
    10.2.6.3.3 Italy Converged Data Platform by Industry
    10.2.6.4 United Kingdom Converged Data Platform
    10.2.6.4.1 United Kingdom Converged Data Platform by Hypervisor type
    10.2.6.4.2 United Kingdom Converged Data Platform by Component
    10.2.6.4.3 United Kingdom Converged Data Platform by Industry
    10.2.6.5 Russia Converged Data Platform
    10.2.6.5.1 Russia Converged Data Platform by Hypervisor type
    10.2.6.5.2 Russia Converged Data Platform by Component
    10.2.6.5.3 Russia Converged Data Platform by Industry
    10.2.6.6 Rest of Europe Converged Data Platform
    10.2.6.6.1 Rest of Europe Converged Data Platform by Hypervisor type
    10.2.6.6.2 Rest of Europe Converged Data Platform by Component
    10.2.6.6.3 Rest of Europe Converged Data Platform by Industry
    10.3. ASIA-PACIFIC
    10.3.1 Asia-Pacific Converged Data Platform Overview
    10.3.2 Asia-Pacific Converged Data Platform Forecasts and Analysis
    10.3.3 Asia-Pacific Converged Data Platform Forecasts and Analysis - By Hypervisor type
    10.3.4 Asia-Pacific Converged Data Platform Forecasts and Analysis - By Component
    10.3.5 Asia-Pacific Converged Data Platform Forecasts and Analysis - By Industry
    10.3.6 Asia-Pacific Converged Data Platform Forecasts and Analysis - By Countries
    10.3.6.1 Australia Converged Data Platform
    10.3.6.1.1 Australia Converged Data Platform by Hypervisor type
    10.3.6.1.2 Australia Converged Data Platform by Component
    10.3.6.1.3 Australia Converged Data Platform by Industry
    10.3.6.2 China Converged Data Platform
    10.3.6.2.1 China Converged Data Platform by Hypervisor type
    10.3.6.2.2 China Converged Data Platform by Component
    10.3.6.2.3 China Converged Data Platform by Industry
    10.3.6.3 India Converged Data Platform
    10.3.6.3.1 India Converged Data Platform by Hypervisor type
    10.3.6.3.2 India Converged Data Platform by Component
    10.3.6.3.3 India Converged Data Platform by Industry
    10.3.6.4 Japan Converged Data Platform
    10.3.6.4.1 Japan Converged Data Platform by Hypervisor type
    10.3.6.4.2 Japan Converged Data Platform by Component
    10.3.6.4.3 Japan Converged Data Platform by Industry
    10.3.6.5 South Korea Converged Data Platform
    10.3.6.5.1 South Korea Converged Data Platform by Hypervisor type
    10.3.6.5.2 South Korea Converged Data Platform by Component
    10.3.6.5.3 South Korea Converged Data Platform by Industry
    10.3.6.6 Rest of Asia-Pacific Converged Data Platform
    10.3.6.6.1 Rest of Asia-Pacific Converged Data Platform by Hypervisor type
    10.3.6.6.2 Rest of Asia-Pacific Converged Data Platform by Component
    10.3.6.6.3 Rest of Asia-Pacific Converged Data Platform by Industry
    10.4. MIDDLE EAST AND AFRICA
    10.4.1 Middle East and Africa Converged Data Platform Overview
    10.4.2 Middle East and Africa Converged Data Platform Forecasts and Analysis
    10.4.3 Middle East and Africa Converged Data Platform Forecasts and Analysis - By Hypervisor type
    10.4.4 Middle East and Africa Converged Data Platform Forecasts and Analysis - By Component
    10.4.5 Middle East and Africa Converged Data Platform Forecasts and Analysis - By Industry
    10.4.6 Middle East and Africa Converged Data Platform Forecasts and Analysis - By Countries
    10.4.6.1 South Africa Converged Data Platform
    10.4.6.1.1 South Africa Converged Data Platform by Hypervisor type
    10.4.6.1.2 South Africa Converged Data Platform by Component
    10.4.6.1.3 South Africa Converged Data Platform by Industry
    10.4.6.2 Saudi Arabia Converged Data Platform
    10.4.6.2.1 Saudi Arabia Converged Data Platform by Hypervisor type
    10.4.6.2.2 Saudi Arabia Converged Data Platform by Component
    10.4.6.2.3 Saudi Arabia Converged Data Platform by Industry
    10.4.6.3 U.A.E Converged Data Platform
    10.4.6.3.1 U.A.E Converged Data Platform by Hypervisor type
    10.4.6.3.2 U.A.E Converged Data Platform by Component
    10.4.6.3.3 U.A.E Converged Data Platform by Industry
    10.4.6.4 Rest of Middle East and Africa Converged Data Platform
    10.4.6.4.1 Rest of Middle East and Africa Converged Data Platform by Hypervisor type
    10.4.6.4.2 Rest of Middle East and Africa Converged Data Platform by Component
    10.4.6.4.3 Rest of Middle East and Africa Converged Data Platform by Industry
    10.5. SOUTH AND CENTRAL AMERICA
    10.5.1 South and Central America Converged Data Platform Overview
    10.5.2 South and Central America Converged Data Platform Forecasts and Analysis
    10.5.3 South and Central America Converged Data Platform Forecasts and Analysis - By Hypervisor type
    10.5.4 South and Central America Converged Data Platform Forecasts and Analysis - By Component
    10.5.5 South and Central America Converged Data Platform Forecasts and Analysis - By Industry
    10.5.6 South and Central America Converged Data Platform Forecasts and Analysis - By Countries
    10.5.6.1 Brazil Converged Data Platform
    10.5.6.1.1 Brazil Converged Data Platform by Hypervisor type
    10.5.6.1.2 Brazil Converged Data Platform by Component
    10.5.6.1.3 Brazil Converged Data Platform by Industry
    10.5.6.2 Argentina Converged Data Platform
    10.5.6.2.1 Argentina Converged Data Platform by Hypervisor type
    10.5.6.2.2 Argentina Converged Data Platform by Component
    10.5.6.2.3 Argentina Converged Data Platform by Industry
    10.5.6.3 Rest of South and Central America Converged Data Platform
    10.5.6.3.1 Rest of South and Central America Converged Data Platform by Hypervisor type
    10.5.6.3.2 Rest of South and Central America Converged Data Platform by Component
    10.5.6.3.3 Rest of South and Central America Converged Data Platform by Industry

    11. INDUSTRY LANDSCAPE
    11.1. MERGERS AND ACQUISITIONS
    11.2. AGREEMENTS, COLLABORATIONS AND JOIN VENTURES
    11.3. NEW PRODUCT LAUNCHES
    11.4. EXPANSIONS AND OTHER STRATEGIC DEVELOPMENTS

    12. CONVERGED DATA PLATFORM, KEY COMPANY PROFILES
    12.1. VMWARE INC
    12.1.1. Key Facts
    12.1.2. Business Description
    12.1.3. Products and Services
    12.1.4. Financial Overview
    12.1.5. SWOT Analysis
    12.1.6. Key Developments
    12.2. SIMPLIVITY CORPORATION
    12.2.1. Key Facts
    12.2.2. Business Description
    12.2.3. Products and Services
    12.2.4. Financial Overview
    12.2.5. SWOT Analysis
    12.2.6. Key Developments
    12.3. SCALE COMPUTING
    12.3.1. Key Facts
    12.3.2. Business Description
    12.3.3. Products and Services
    12.3.4. Financial Overview
    12.3.5. SWOT Analysis
    12.3.6. Key Developments
    12.4. NUTANIX INC
    12.4.1. Key Facts
    12.4.2. Business Description
    12.4.3. Products and Services
    12.4.4. Financial Overview
    12.4.5. SWOT Analysis
    12.4.6. Key Developments
    12.5. PIVOT3
    12.5.1. Key Facts
    12.5.2. Business Description
    12.5.3. Products and Services
    12.5.4. Financial Overview
    12.5.5. SWOT Analysis
    12.5.6. Key Developments
    12.6. NIMBOXX INC.
    12.6.1. Key Facts
    12.6.2. Business Description
    12.6.3. Products and Services
    12.6.4. Financial Overview
    12.6.5. SWOT Analysis
    12.6.6. Key Developments
    12.7. CISCO SYSTEMS, INC.
    12.7.1. Key Facts
    12.7.2. Business Description
    12.7.3. Products and Services
    12.7.4. Financial Overview
    12.7.5. SWOT Analysis
    12.7.6. Key Developments
    12.8. MAXTA INC
    12.8.1. Key Facts
    12.8.2. Business Description
    12.8.3. Products and Services
    12.8.4. Financial Overview
    12.8.5. SWOT Analysis
    12.8.6. Key Developments
    12.9. GRIDSTORE, INC
    12.9.1. Key Facts
    12.9.2. Business Description
    12.9.3. Products and Services
    12.9.4. Financial Overview
    12.9.5. SWOT Analysis
    12.9.6. Key Developments
    12.10. IBM
    12.10.1. Key Facts
    12.10.2. Business Description
    12.10.3. Products and Services
    12.10.4. Financial Overview
    12.10.5. SWOT Analysis
    12.10.6. Key Developments
    12.11. HEWLETT PACKARD ENTERPRISE COMPANY
    12.11.1. Key Facts
    12.11.2. Business Description
    12.11.3. Products and Services
    12.11.4. Financial Overview
    12.11.5. SWOT Analysis
    12.11.6. Key Developments

    13. APPENDIX
    13.1. ABOUT THE INSIGHT PARTNERS
    13.2. GLOSSARY OF TERMS
    The List of Companies

    1.Vmware Inc
    2.Simplivity Corporation
    3.Scale Computing
    4.Nutanix Inc
    5.Pivot3
    6.Nimboxx Inc.
    7.Cisco Systems, Inc.
    8.Maxta Inc
    9.Gridstore, Inc
    10.IBM
    11.Hewlett Packard Enterprise Company
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