“In May 25, 2018 the European Union’s General Data Protection Regulation (GDPR) went into effect replacing the 1995 Data Protective Directive (DPD). This new law affects the E.U. and countries in the European Economic Area (EEA), and creates a new regulation for privacy in the digital age (Because of Brexit the United Kingdom has a separate Data Protection Act 2018 that mirrors the rules in the GDPR). The law has far reaching effects because it not only affects organizations within the E.U., but also applies to organizations offering goods or services to people residing in the E.U. However, the law has limitations. The data regulated by the GDPR is only that pertaining to individuals; it does not apply to data about organizations. In addition, the GDPR would not apply to an organization that did not directly target people in the European Union (European Union, 2018).”
The article cited AMA's "Global Big Data As A Service Market Study" explored substantial growth of %. According to the report, Integration of Cloud Computing and Big Data
is one of the primary growth factors for the market. Increasing Demand of Real Time Data Analytics Solutions
is also expected to contribute significantly to the Big Data As A Service market. Overall, Financial Services
applications of Big Data As A Service, and the growing awareness of them, is what makes this segment of the industry important to its overall growth. The Organization Size, such as Small And Medium-Sized Business, is boosting the Big Data As A Service market. Additionally, the rising demand from SMEs and various industry verticals, macro-economic growth are the prime factors driving the growth of the market.The Solutions, such as Hadoop-as-a-Service (HDaaS), is boosting the Big Data As A Service market. Additionally, the rising demand from SMEs and various industry verticals, macro-economic growth are the prime factors driving the growth of the market.The Industry Verticals, such as BFSI, is boosting the Big Data As A Service market. Additionally, the rising demand from SMEs and various industry verticals, macro-economic growth are the prime factors driving the growth of the market.The Deployment Models, such as Public Cloud, is boosting the Big Data As A Service market. Additionally, the rising demand from SMEs and various industry verticals, macro-economic growth are the prime factors driving the growth of the market.
AMAs Analyst on the Global Big Data As A Service market identified that the demand is rising in many different parts of the world as "Rising Demand for Data Warehousing and Advanced Analytics Solutions
".
The report provides an in-depth analysis and forecast about the industry covering the following key features: o Industry outlook including current and future market trends, drivers, restraints, and emerging technologies o Analyses the Global Big Data As A Service market according to Type, Application, and regions o Analyzes the top 10 players in terms of market reach, business strategy, and business focus o Provides stakeholders insights and key drivers & trends of the market
**The market is valued based on weighted average selling price (WASP) and includes any applicable taxes on manufacturers. All currency conversions used in the creation of this report have been calculated using constant annual average 2022 currency rates.
Market Size Estimation In market engineering method, both top-down and bottom-up approaches have been used, along with various data triangulation process, to predict and validate the market size of the Big Data As A Service market and other related sub-markets covered in the study.
o Key & emerging players in the market have been observed through secondary research. o The industrys supply chain and overall market size, in terms of value, have been derived through primary and secondary research processes. o All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources.
Data Triangulation The overall Big Data As A Service market size is calculated using market estimation process, the Big Data As A Service market was further split into various segments and sub-segments. To complete the overall market engineering and arriving at the exact statistics for all segments and sub-segments, the market breakdown and data triangulation procedures have been utilized, wherever applicable. The data have been triangulated by studying various influencing factors and trends identified from both demand and supply sides of various applications involved in the study. Along with this, the Global Big Data As A Service market size has been validated using both top-down and bottom-up approaches.