Data Scarcity and Quality - The demand for high-quality training data has increased significantly with the rise of data-driven technologies such as artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT). However, many organizations still need help to acquire labelled data for model training and validation due to scarcity in niche domains or emerging markets. This aspect creates obstacles that hinder the development and deployment of AI-driven solutions. Synthetic data generation provides an appealing solution by augmenting existing datasets or generating new ones that capture underlying patterns and characteristics unique to a target domain. With advanced generative models, simulation techniques can bridge this gap between limited availability while simultaneously meeting requirements of core algorithms employed within AI/ML technology; innovation accelerated thanks to its ability, resulting in time-to-market reduction overall.
Lack of Standardization – The need for standard procedures and metrics for synthetic data production is a major hurdle that hampers its use across various platforms. Unlike traditional datasets evaluated on precise measures like accuracy, precision, or recall, the authenticity and utility of synthetic information have no universally accepted criteria to evaluate them correctly. Consequently, companies face significant challenges while assessing the quality and applicability of synthesized data in specific cases or applications. Establishing trust amongst stakeholders regarding such solutions requires standardized benchmarks with rigorous evaluation protocols augmented by stringent quality assurance mechanisms essential for sound decision-making capabilities within organizations seeking optimal results from this technology's deployment at scale.
Demand Across Industries - Synthetic data generation has various applications in various industries, each with unique needs and functions. In the healthcare industry, synthetic data is utilized to train medical imaging algorithms, simulate patient information for clinical research purposes, and create artificial electronic health records (EHRs) for investigations. For automotive and autonomous driving sectors, synthetic data allows diverse scenarios, such as simulated conditions, that help optimize perception systems appropriately under hazardous situations. Back-testing trading strategies using fake money plus simulating market trends, amongst others, are notable uses of it within finance institutions. In contrast, the retail industry exploits this technique mainly for demand forecasting activities along with customer segmentation & personalized recommendation engines, among other things, to become feasible because versatility accompanies every application. The scalability and versatility of synthetic data are the factors prompting its adoption across industries, ultimately fueling the remarkable market growth over the years.
This study forecasts revenue at global, regional, and country levels from 2020 to 2033. The Brainy Insights has segmented the global synthetic data generation market based on below-mentioned segments:
Global Synthetic Data Generation Market by Type:
Global Synthetic Data Generation Market by Modeling Type:
Global Synthetic Data Generation Market by Industry:
Global Synthetic Data Generation Market by Application:
Global Synthetic Data Generation Market by Region:
Research has its special purpose to undertake marketing efficiently. In this competitive scenario, businesses need information across all industry verticals; the information about customer wants, market demand, competition, industry trends, distribution channels etc. This information needs to be updated regularly because businesses operate in a dynamic environment. Our organization, The Brainy Insights incorporates scientific and systematic research procedures in order to get proper market insights and industry analysis for overall business success. The analysis consists of studying the market from a miniscule level wherein we implement statistical tools which helps us in examining the data with accuracy and precision.
Our research reports feature both; quantitative and qualitative aspects for any market. Qualitative information for any market research process are fundamental because they reveal the customer needs and wants, usage and consumption for any product/service related to a specific industry. This in turn aids the marketers/investors in knowing certain perceptions of the customers. Qualitative research can enlighten about the different product concepts and designs along with unique service offering that in turn, helps define marketing problems and generate opportunities. On the other hand, quantitative research engages with the data collection process through interviews, e-mail interactions, surveys and pilot studies. Quantitative aspects for the market research are useful to validate the hypotheses generated during qualitative research method, explore empirical patterns in the data with the help of statistical tools, and finally make the market estimations.
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Our research methodology encompasses an idyllic combination of primary and secondary initiatives. Key phases involved in this process are listed below:
The phase involves the gathering and collecting of market data and its related information with the help of different sources & research procedures.
The data procurement stage involves in data gathering and collecting through various data sources.
This stage involves in extensive research. These data sources includes:
Purchased Database: Purchased databases play a crucial role in estimating the market sizes irrespective of the domain. Our purchased database includes:
Primary Research: The Brainy Insights interacts with leading companies and experts of the concerned domain to develop the analyst team’s market understanding and expertise. It improves and substantiates every single data presented in the market reports. Primary research mainly involves in telephonic interviews, E-mail interactions and face-to-face interviews with the raw material providers, manufacturers/producers, distributors, & independent consultants. The interviews that we conduct provides valuable data on market size and industry growth trends prevailing in the market. Our organization also conducts surveys with the various industry experts in order to gain overall insights of the industry/market. For instance, in healthcare industry we conduct surveys with the pharmacists, doctors, surgeons and nurses in order to gain insights and key information of a medical product/device/equipment which the customers are going to usage. Surveys are conducted in the form of questionnaire designed by our own analyst team. Surveys plays an important role in primary research because surveys helps us to identify the key target audiences of the market. Additionally, surveys helps to identify the key target audience engaged with the market. Our survey team conducts the survey by targeting the key audience, thus gaining insights from them. Based on the perspectives of the customers, this information is utilized to formulate market strategies. Moreover, market surveys helps us to understand the current competitive situation of the industry. To be precise, our survey process typically involve with the 360 analysis of the market. This analytical process begins by identifying the prospective customers for a product or service related to the market/industry to obtain data on how a product/service could fit into customers’ lives.
Secondary Research: The secondary data sources includes information published by the on-profit organizations such as World bank, WHO, company fillings, investor presentations, annual reports, national government documents, statistical databases, blogs, articles, white papers and others. From the annual report, we analyse a company’s revenue to understand the key segment and market share of that organization in a particular region. We analyse the company websites and adopt the product mapping technique which is important for deriving the segment revenue. In the product mapping method, we select and categorize the products offered by the companies catering to domain specific market, deduce the product revenue for each of the companies so as to get overall estimation of the market size. We also source data and analyses trends based on information received from supply side and demand side intermediaries in the value chain. The supply side denotes the data gathered from supplier, distributor, wholesaler and the demand side illustrates the data gathered from the end customers for respective market domain.
The supply side for a domain specific market is analysed by:
The demand side for the market is estimated through:
In-house Library: Apart from these third-party sources, we have our in-house library of qualitative and quantitative information. Our in-house database includes market data for various industry and domains. These data are updated on regular basis as per the changing market scenario. Our library includes, historic databases, internal audit reports and archives.
Sometimes there are instances where there is no metadata or raw data available for any domain specific market. For those cases, we use our expertise to forecast and estimate the market size in order to generate comprehensive data sets. Our analyst team adopt a robust research technique in order to produce the estimates:
Data Synthesis: This stage involves the analysis & mapping of all the information obtained from the previous step. It also involves in scrutinizing the data for any discrepancy observed while data gathering related to the market. The data is collected with consideration to the heterogeneity of sources. Robust scientific techniques are in place for synthesizing disparate data sets and provide the essential contextual information that can orient market strategies. The Brainy Insights has extensive experience in data synthesis where the data passes through various stages:
Market Deduction & Formulation: The final stage comprises of assigning data points at appropriate market spaces so as to deduce feasible conclusions. Analyst perspective & subject matter expert based holistic form of market sizing coupled with industry analysis also plays a crucial role in this stage.
This stage involves in finalization of the market size and numbers that we have collected from data integration step. With data interpolation, it is made sure that there is no gap in the market data. Successful trend analysis is done by our analysts using extrapolation techniques, which provide the best possible forecasts for the market.
Data Validation & Market Feedback: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helps us finalize data-points to be used for final calculations.
The Brainy Insights interacts with leading companies and experts of the concerned domain to develop the analyst team’s market understanding and expertise. It improves and substantiates every single data presented in the market reports. The data validation interview and discussion panels are typically composed of the most experienced industry members. The participants include, however, are not limited to:
Moreover, we always validate our data and findings through primary respondents from all the major regions we are working on.
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