![]() ![]() Major market players included in this report are:ĭescription, TOC, Table of Figure, Chart, etc. Factors such as rising acceptance of emerging technologies, as well as the exponential growth of various end-use industries, are burgeoning the market growth in the forecasting years. Whereas, the Asia Pacific is expected to grow at the highest growth rate over the forecasting period. North America dominated the market in terms of revenue, owing to the growing focus on increased inclination toward fraud detection and the rising presence of the leading industry players such as American Express, Google’s Waymo J.P. The key regions considered for the Global Synthetic Data Generation Market study include Asia Pacific, North America, Europe, Latin America, and the Rest of the World. However, the rising acceptance of data accuracy is hindering the market growth throughout the forecast period of 2022-2029. Moreover, the growing investment in advanced technologies, as well as increasing initiatives by key market players are presenting various opportunities over the forecasting years. ![]() Thereby, the high usage of data is influencing the demand for connected devices and IoT, which, in turn, propels the demand for synthetic data to create on-demand data. Likewise, in August 2020, the White House reported unveiled the total investment of USD 1 billion in artificial intelligence and quantum computing. According to Statista, the global artificial intelligence (AI) software market generated around USD 10.1 billion in terms of sales in 2018, and it is projected to reach about USD 126 billion by 2025. The rapid proliferation of Artificial Intelligence (AI) is fostering the adoption of the synthetic generation of data in the global market. The growing need to maintain data security and privacy, coupled with the rising inclination toward synthetic data to train machine learning, anti-money laundering behaviours and payment data for fraud detection are the prominent factors for the market growth. Synthetic data is generated algorithmically and is used to train machine learning models, validate mathematical models, and act as a stand-in for test datasets of production or operational data. Synthetic data generation is a technique of creating artificial that is gaining high traction in place of real data to train AI models. Global Synthetic Data Generation Market is valued at approximately USD 123.3 million in 2021 and is anticipated to grow with a healthy growth rate of more than 34.8 % over the forecast period 2022-2029.ĭownload Free Sample of This Strategic Report:. Extensive Analysis Impact Analysis of the Pre- and Post-COVID-19 Market Outbreak. Obtain a thorough report (with a full TOC, more than 100 tables, figures, and charts). Other business intelligence tools include market definition, regional market opportunity, sales and revenue by region, manufacturing cost analysis, industrial chain, market effect factors analysis, global market size forecast, market data and graphs and statistics, tables, bar and pie charts, and more. ![]()
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