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1.
Research Sources
We at Zettabyte Analytics have a
detailed and related research methodology focussed on estimating the market
size and forecasted value for the given market. Comprehensive research
objectives and scope were obtained through secondary research of the parent and
peer markets. The next step was to validate our research by various market
models and primary research. Both top-down and bottom-up approaches were
employed to estimate the market. In addition to all the research reports, data
triangulation is one of the procedures used to evaluate the market size of
segments and sub-segments.
Research Methodology
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)
1.1. Secondary Research
The secondary research study involves various sources and databases used
to analyze and collect information for the market-oriented survey of a specific
market. We use multiple databases for our exhaustive secondary research, such
as Factiva, Dun & Bradstreet, Bloomberg, Research article, Annual reports,
Press Release, and SEC filings of significant companies. Apart from this, a
dedicated set of teams continuously extracts data of key industry players and
makes an extensive and unique segmentation related to the latest market
development.
1.2. Primary Research
The primary research includes gathering data from specific domain
experts through a detailed questionnaire, emails, telephonic interviews, and
web-based surveys. The primary interviewees for this study include an expert
from the demand and supply side, such as CEOs, VPs, directors, sales heads, and
marketing managers of tire 1,2, and 3 companies across the globe.
1.3. Data Triangulation
The data triangulation is very important for any market study, thus we
at Zettabyte Analytics focus on at least three sources to ensure a high level
of accuracy. The data is triangulated by studying various factors and trends
from both supply and demand side. All the reports published and stored in our
repository follows a detailed process to obtain a reliable insight for our
clients.
1.4. In-House Verification
To validate the segmentation
and verify the data collected, our market expert ensures whether our research
analyst is considering fine distinction before analyzing the market.
1.5. Reporting
In the end,
presenting our research reports complied in a different format for straightforward
valuation such as ppt, pdf, and excel data pack is done.