Published on : Jul 13, 2018
Albany, New York, July 13, 2018: Big data emerged as a term for describing datasets that held a size beyond the ability of customary databases to seize, store, manage and analyze. However, over the years the term has meaningfully expanded. Big data now not only refers to the data but includes the set of technologies which capture, stock, manage and analyze huge and variable assemblies of data, with an aim to solve complex problems. Presently, the market for big data is advancing due to its requirement across a variety of sectors. In order to study the market expanse, a new research study has been included to the broad repository of Market Research Hub (MRH). The report is titled “The Big Data Market: 2018 - 2030 - Opportunities, Challenges, Strategies, Industry Verticals & Forecasts”, which discusses the different trends and drivers pushing the overall big data market.
As per research specifics, during the propagation of real-time data from sources like web, mobile devices, sensors, social media, transactional applications and log files, big data has found several different vertical market applications, extending from fraud detection to scientific R&D. Interesting, it is estimated that big data investments would account for more than $65 Billion in 2018. Furthermore, investments are expected to rise at a CAGR of roughly 14% over the period of next three years.
The report offers an in-depth assessment connected to the big data ecosystem comprising of key market drivers, investment potential, challenges and vertical market opportunities. The utility of cases, value chain, future roadmap, case studies focused on big data analytics, market share and vendor profiles are very well processed. In addition, the report also presents market size predictions for big data software, hardware and professional services for the period between 2018 and 2030. Geographically, regional markets include Eastern Europe, Asia Pacific, Middle East & Africa, Latin & Central America, Western Europe and North America. The research also offers a country-wise analysis which simplifies the regional analysis for the readers. There is a separate section of the report which discusses the prevailing trends including edge analytics, AI (Artificial Intelligence), machine learning, the impact of the IoT (Internet of Things) and cloud-based big data platforms. Overall, this research report is a helpful data source to new investors who are planning to make a standing for themselves in the big data market. The presence of figurative data proves advantageous in inferring research findings without much effort.
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