At AnalystView, our team of experienced researchers and subject experts follow a meticulously formulated set of research techniques that includes a combination of specialist industry analyst knowledge and in-country research experience that can successfully arrive at the desired accurate result. Critical elements of the methodology employed for all our studies include:
- Preliminary Data Mining
- Data Synthesis & Analysis
- Market Formulation
- Data Verification
Preliminary Data Mining
In order to begin the research for the required field, we employ data interrogation methodologies to minimize deviance and to generate meaningful and accurate estimates and forecast possible. We conduct the research study by collecting the information from the following resources:
Secondary research formed the initial phase of our study, where raw market data is obtained and collated on a broad front from public sources such as:
- Company’s annual reports, SEC filings, websites, broker & financial reports, and investor presentations to understand the competitive scenario of the industry
- Scientific and technical articles
- Regional governments’ statistical databases for macro-analysis
- Industry study groups and semi-official sources
- Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates & forecast
- Informative channels related to the market topics
- Patent and regulatory databases for understanding technical & legal developments
- Trade magazines
Data is continuously filtered to ensure that only authenticated and validated sources are considered. Through this, we get a better overview of the vital information with respect to the market. Additionally, data is mined from related studies in our report store, as well as from the paid databases available to us.
We understand the importance of considering top players in the market, their company profiles, the market landscape, necessary financial data, technical aspects, commercial aspects and other valuable market information. In order to acquire accurate information for all these aspects, we purchase paid databases such as Bloomberg, Dun & Bradstreet, and BusinessWeek.
AnalystView purchases the paid databases to gain insights on the recent and vital market trends on a regional and global scale. This method enables us to analyze the industry from a 360- degree aspect. We arrive at this aspect by thoroughly examining the industry from both the supplier’s side and user’s side. AnalystView is able to report microscopic details about the market dynamics and market trends of an industry by following this approach.
The information collected in the previous stage is validated by interacting with Key Opinion Leaders (KoL’s) operating in the respective markets, through phone calls, emails, and web-based survey responses. We also collect the raw information from our in-house subject matter experts who provide their insights on the topic based on their expertise in that field.
Other primary sources include manufacturers, distributors, users etc. who are directly connected to the field of study. AnalystView connects with them by conducting a survey, sending a questionnaire or by an interview, based on the requirement. This platform helps us validate our data in terms of accuracy and gain insight into the current market and future expectations. Furthermore, the obtained information guides us to understand several facets of the market with respect to manufacturers and buyers’ perspectives.
The Key Industry Participants (KIPs) for primary interactions typically include (but not limited to):
- KOLs of market-leading players (CEO, vice presidents, top-level & middle-level managers of the company, directors of marketing, product managers, brand managers, customers of major industrial products, and many others)
- Distributors and suppliers
- End users
Data Synthesis & Analysis
In the Data Synthesis stage, analysts utilize the collected data and various research articles in order to determine the historical and forecast trend of the subject of the study.
Our team considers the year-on-year (YOY) growth rate as the primary factor in order to determine the market forecast for a particular industry. Data projection and future performance of each segment are analyzed based on the key aspects extracted from primary and secondary research results. Thus, data projection exhibits the assumption on how the market performs under microeconomic and macroeconomic parameters. Our market forecasting technique represents strategic conclusions which can play a crucial role for our clients in making strategic marketing plans.
For forecasting, the following parameters were considered:
- Market drivers and restraints along with their current and expected impacts
- Technological scenario and expected developments
- Trends in the consumer behaviors
- End-user industry trends
We have assigned weights to above-mentioned parameters and quantified their market impacts using the weighted average analysis, to derive an expected market growth rate.
As mentioned earlier, we use the Top-Down / Bottom-Up approach or the Supply side / Demand side approach based on the requirement of the research study, as follows:
When the research study is about a new product/service that is going to be launched in the market, we adopt the Top-Down approach. In this approach, paid and public databases are used to a great extent. To study the market conditions, product flow and penetration models are used and in order to forecast the performance of that product/service in the market, regression multivariate analysis is used. We also conduct primary interviews and also check with vendors to calculate the variable impact analysis.
The bottom-up approach is adopted when the research involves studying the demand for a particular product across different countries or regions based on the total market analysis. In order to forecast the demand accurately, variable analysis is used and primary interviews are conducted to thoroughly validate the obtained data. The demand is accurately estimated by checking paid databases and analyzing company financials from their annual company reports. Another approach followed here is the Commodity Flow Approach wherein, our analysts calculate the segment revenue based on key companies’ market specific revenue generation.
On the supply side, we analyze the annual company reports, presentations given by investors and the Hoover’s database. At this stage, we also identify the market leaders and their combined proceeds. This enables our clients to understand their competitors at a deeper level. We also forecast the market conditions at this stage by analyzing distribution networks, market initiatives etc.
In the demand side, we identify the parent markets and their related markets. The relevant revenue to these markets is obtained using segment penetration analysis. The forecasting in the demand side is done by using the variable analysis and by consulting subject matter experts.
In addition, to assign weights to all the relevant market dynamics and parameters and quantify their market impact for generating projected market growth rate, we used advanced machine learning algorithms in order to collate essential market data. The machine learning method utilizes algorithms such as regression, correlation, and decision tree, among others, to derive the desired output. Using these algorithms, we can cut through the clutter and helps us in deriving highly detailed forecasts, profound knowledge of product demand, and others.
These collected data points are carefully filtered, analyzed, compared, and presented in an easy way to develop accurate research study. Furthermore, all collected data is subjected to undergo exhaustive review process at the country level, regional level, and global level.
Once the information is collected, and the forecasts are determined, we provide a clear written analysis of the market conditions. This includes detailed information on market segments regarding market drivers, market restraints, and market opportunities. These offer insights on different channel dynamics, brand preference, incidence/prevalence data, consumption trend, and technology up-gradation.
We also include supporting data from relevant awareness campaigns, new introductions, regulatory norms, government initiatives, and an industry player’s expansion in specific product segments. From a research perspective, this information explains and substantiates estimated data finding and forecast which helps us to improve the accuracy of the final report. This helps our clients to make better business decisions as they possess all the market information they require.
At this stage of the research study, data normalization is carried out using machine learning techniques. Using this approach, we reduce data redundancy by grouping the collected data into groups and carrying out the normalization procedure. This way, we arrive at an accurate result directly.
This is the final step in estimating and forecasting for our research study. AnalystView’s team verifies the data collected at every stage of the research process. In this stage, after the market analysis, the forecast processes has been completed, a thorough verification of all the data used in the study is carried out once again.