SNS Telecom & IT‘s latest research report indicates that global spending on Big Data technology is expected to surpass $65 Billion by the end of 2018.
Originally used as a term to describe datasets whose size is beyond the ability of traditional databases, the scope of Big Data has significantly expanded over the years. Big Data not only refers to the data itself but also a set of technologies that capture, store, manage and analyze large and variable collections of data, to solve complex problems.
Amid the proliferation of real-time data from sources such as mobile devices, web, social media, sensors, log files and transactional applications, Big Data has found a host of vertical market applications, ranging from fraud detection to scientific R&D.
Despite challenges relating to privacy concerns and organizational resistance, Big Data investments continue to gain momentum throughout the globe. SNS Telecom & IT estimates that Big Data investments will account for over $65 Billion in 2018 alone. These investments are further expected to grow at a CAGR of approximately 14% over the next three years.
The “Big Data Market: 2018 – 2030 – Opportunities, Challenges, Strategies, Industry Verticals & Forecasts” report presents an in-depth assessment of the Big Data ecosystem including key market drivers, challenges, investment potential, vertical market opportunities and use cases, future roadmap, value chain, case studies on Big Data analytics, vendor profiles, market share and strategies. The report also presents market size forecasts for Big Data hardware, software and professional services from 2018 till 2030. The forecasts are segmented for 8 horizontal submarkets, 14 vertical markets, 6 regions and 35 countries.
The report will be of value to current and future potential investors into the Big Data sector, as well as Big Data hardware/software/professional services providers, analytic platform vendors, vertical enterprises and other ecosystem players who wish to broaden their knowledge of the ecosystem.
The key findings of the report include:
- In 2018, Big Data vendors will pocket over $65 Billion from hardware, software and professional services revenues. These investments are further expected to grow at a CAGR of approximately 14% over the next three years, eventually accounting for more than $96 Billion by the end of 2021.
- With ongoing advances in AI (Artificial Intelligence) technologies, Big Data analytics initiatives are beginning to leverage sophisticated deep learning systems with an autonomous sense of judgment – to enable a range of applications from chatbots and virtual assistants to self-driving vehicles and precision medicine.
- In order to analyze data closer to where it is collected, Big Data and advanced analytics technologies are increasingly being integrated into edge environments, including network nodes, numerous industrial machines and IoT (Internet of Things) devices.
- The vendor arena is continuing to consolidate with several prominent M&A deals such as Oracle’s recent acquisition of enterprise data science platform provider DataScience.com – in a bid to beef up its capabilities in machine learning and Big Data for predictive analytics, and Google’s acquisition of Big Data application platform provider Cask Data.
For further information concerning the SNS Telecom & IT publication ” The Big Data Market: 2018 – 2030 – Opportunities, Challenges, Strategies, Industry Verticals & Forecasts” please visit: https://www.snstelecom.com/bigdata
For a sample please contact:
Email: info@snstelecom.com
Notes for Editors
If you are interested in a more detailed overview of this report, please send an e-mail to info@snstelecom.com
About SNS Telecom & IT
Part of the SNS Worldwide group, SNS Telecom & IT is a global market intelligence and consulting firm with a primary focus on the telecommunications and information technology industries. Developed by in-house subject matter experts, our market intelligence and research reports provide unique insights on both established and emerging technologies. Our areas of coverage include but are not limited to wireless networks, 5G, LTE, SDN (Software Defined Networking), NFV (Network Functions Virtualization), IoT (Internet of Things), critical communications, big data, smart cities, smart homes, consumer electronics, wearable technologies, and vertical applications.
