The global
market for Deep Packet Inspection (DPI) is projected to reach US$3.7 Billion by
2025, driven by exploding Internet traffic, rising security threats, growing
sophistication of cyber-attacks and increasing bandwidth management needs. The unprecedented spurt in global IP traffic is the result of rapidly
expanding internet user base supported by growing literacy rates, increasing
disposable incomes & high proportion of digitally savvy young people; and
rapid penetration of cloud computing based business models. Increased data volume
amplifies security threats, while growing ubiquity of cloud services magnifies
the need for protection against web exploits, data exfiltration and malware/
botnets. The need to identify traffic on a network is becoming more important
than ever to troubleshoot poor network performance, latency issues and high
application response times; to manage unidentified network traffic; to handle
unexpected traffic and data volume surges; and classify network traffic by
their importance i.e. business, social and prioritize accordingly. Also, a
growing number of governments worldwide are tracking and monitoring their
citizens and their communications for anti-terrorism spying, policing and
e-governance purposes. This trend is resulting in governments worldwide
intercepting, monitoring and decrypting information generated, transmitted,
received and stored by computers in a country. Public sector use of DPI for
national level surveillance and censorship is poised to gain significantly in
the coming years. DPI provides added security by examining packet content as
against conventional filtering that checks just packet headers. Read More…
The Global Market for Big Data Technologies and Services is Projected to Reach $60 Billion by 2022
GIA launches comprehensive analysis of industry segments, trends, growth drivers, market share, size and demand forecasts on the global Big Data market. The global market for Big Data Technologies and Services is projected to reach $60 billion by 2022 , driven by soaring digital data volumes in organizations and the resulting need to turn this data into valuable insights for enhancing operational efficiency, tapping new opportunities and gaining competitive edge. Defined as a natural result of mankind’s obsession with information technology and digitalization, “Big Data” refers to extremely large sets of structured, semi-structured and unstructured data of different types, including text, audio or video, generated from diverse data sources that has the potential to be mined for required information. While data supply associated with big data ecosystem has always been large and voluminous in most organizations, the ability to use these large datasets and convert them into meaningf
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