Converged Data Platform Market Size and Forecasts (2021 - 2031), Global and Regional Share, Trends, and Growth Opportunity Analysis

Coverage: Converged Data Platform Market covers analysis By Hypervisor type (VMware, KVM, Hyper-V); Component (Software, Services); Industry (BFSI, Healthcare, Government, Education, IT and telecom) , and Geography (North America, Europe, Asia Pacific, and South and Central America)

Publication Month : Mar 2024

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

World Geography

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MARKET PLAYERS


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.

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.
  • Sample PDF showcases the content structure and the nature of the information with qualitative and quantitative analysis.
  • Request discounts available for Start-Ups & Universities
Report Coverage
Report Coverage

Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends

Segment Covered
Segment Covered

This text is related
to segments covered.

Regional Scope
Regional Scope

North America, Europe, Asia Pacific, Middle East & Africa, South & Central America

Country Scope
Country Scope

This text is related
to country scope.

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

The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.

  1. Data Collection and Secondary Research:

As a market research and consulting firm operating from a decade, we have published many reports and advised several clients across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.

Several associations trade associates, technical forums, institutes, societies and organizations are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in the last 3 years are scrutinized and analyzed to understand the current market trends.

  1. Primary Research:

The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.

For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/Sales Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.

A typical research interview fulfils the following functions:

  • Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
  • Validates and strengthens in-house secondary research findings
  • Develops the analysis team’s expertise and market understanding

Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:

  • Industry participants: VPs, business development managers, market intelligence managers and national sales managers
  • Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.

Below is the breakup of our primary respondents by company, designation, and region:

Research Methodology

Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.

  1. Data Analysis:

Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.

  • 3.1 Macro-Economic Factor Analysis:

We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.

  • 3.2 Country Level Data:

Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.

  • 3.3 Company Profile:

The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.

  • 3.4 Developing Base Number:

Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.

  1. Data Triangulation and Final Review:

The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.

We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.

We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.

Your data will never be shared with third parties, however, we may send you information from time to time about our products that may be of interest to you. By submitting your details, you agree to be contacted by us. You may contact us at any time to opt-out.

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