The Digital Universe in 2020: Big Data, Bigger Digital Shadows, and Biggest Growth in the Far East

By J. Gantz, David Reinsel. 2012

1,420 citations recorded by the source corpus.

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Citations in the corpus

Deep Learning for IoT Big Data and Streaming Analytics: A Survey (2017, background): “Based on IDC’s report [89], it is estimated that by 2012 only about 3% of all data in the digital universe has been annotated, which implies the poor source of training datasets for DL.”
Big data analytics capabilities: a systematic literature review and research agenda (2017, background): “However, there are three key differences: Velocity, variety, volume Gantz and Reinsel (2012) Big data focuses on three main characteristics: the data itself, the analytics of the data, and presentation of the results of the analytics that allow the creation of business value in terms of new…”
Big Data for Modern Industry: Challenges and Trends [Point of View] (2015, background): “’’ An International Data Corporation (IDC) report [1] predicts that ‘‘from 2005 to 2020, the digital universe will grow by a factor of 300, from 130 Exabyte to 40 000 Exabyte’’ and that ‘‘from now until 2020 will about double every two years.”
Visualizing Big Data with augmented and virtual reality: challenges and research agenda (2015, background): “According to International Data Corporation (IDC), data trading is forming a separate market [8].”
The impact of 5G on the evolution of intelligent automation and industry digitization (2021, background): “The International Data Corporation report predicted that there could be an increase in digital data by 40X from 2012 to 2020 (Gantz and Reinsel 2012).”
Big Data and cloud computing: innovation opportunities and challenges (2017, background): “While metadata are essential for the integrity of data prove-nances (Singh et al. 2003; Yee et al. 2003), the challenge remains to automatically generate metadata to describe Big Data and relevant processes (Gantz and Reinsel 2012; Oguntimilehin and Ademola 2014).”
Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications (2015, background): “The IoT smart objects are expected to reach 212 billion entities deployed globally by the end of 2020 [9].”
Mining big data: current status, and forecast to the future (2013, methodology): “The 2012 IDC study on Big Data [14] explains that in 2012, 23% (643 ex-abytes) of the digital universe would be useful for Big Data if tagged and analyzed.”
Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges (2017, background): “‘‘The Digital Universe’’ study [21] labels big data technologies as a new generation of technologies and architectures that aim to take out the value from a massive volume of data with various formats by enabling high-velocity capture, discovery, and analysis.”
Toward Scalable Systems for Big Data Analytics: A Technology Tutorial (2014, background): “For instance, an IDC report [1] predicts that, from 2005 to 2020, the global data volume will grow by a factor of 300, from 130 exabytes to 40,000 exabytes, representing a double growth every two years.”
A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques (2017, background): “IDC, in a report sponsored by EMC, predicts that the data volume will grow to 40 zettabytes1 by 2020, leading to a 50-time growth from the beginning of 2010 [52].”
Critical analysis of Big Data challenges and analytical methods (2017, background): “Gantz and Reinsel (2012) assert that by 2020, over 40 Zettabytes ( or 40 trillion gigabytes ) of data will have been generated, imitated, and consumed.”
A survey on concept drift adaptation (2014, methodology): “The volume of data generated in 2012 has been estimated to surpass 2.8 zetabytes (2.8 trillion gigabytes) as reported in the IDC survey [Gantz and Reinsel 2012].”
Digital Twin and Big Data Towards Smart Manufacturing and Industry 4.0: 360 Degree Comparison (2018, background): “be over 40 zettabytes (ZB) by 2020 [3], including structured, semi-structured and unstructured data.”
A Comprehensive Study of the Past, Present, and Future of Data Deduplication (2016, background): “8 zettabytes, respectively [1, 2], and the predicted amount of data to be produced in 2020 is 44 zettabytes [3, 4].”