Market Research Report
Big Data Analytics, Mobile Edge Computing, and Real-time Data: Technologies, Solutions, and Market Outlook 2018 - 2023
|Published by||Mind Commerce||Product code||647354|
|Published||Content info||384 Pages
Delivery time: 1-2 business days
|Big Data Analytics, Mobile Edge Computing, and Real-time Data: Technologies, Solutions, and Market Outlook 2018 - 2023|
|Published: June 4, 2018||Content info: 384 Pages||
While big data analytics solutions are in a rapid adoption phase within most major enterprise companies, edge computing remains in its infancy across most industry verticals. This will soon change with the introduction of mobile edge computing (also known as multi-access edge computing or MEC), driven by major global cellular service providers and supported by a few large IT services firms as well as some key systems integrators. Implemented as a complement to 5G and to optimize capacity allocation, MEC will also enable highly targeted apps and services including zone-based solutions for many segments including smart buildings, self-driving vehicles, robotics, UAVs, and more.
Real-time data will be a key value proposition for all use cases, segments, and solutions. The ability to capture streaming data, determine valuable attributes, and make decisions in real-time will add an entirely new dimension to service logic. In many cases, the data itself, and actionable information will be the service. However, real-time data is anticipated to become a highly valuable aspect of all solutions as a determinant of user behavior, application effectiveness, and identifier of new and enhanced mobile/wireless and/or Internet of Things (IoT) related apps and services.
Mind Commerce findings indicate that no major industry vertical will be without real-time, edge computing driven data strategy by 2023 with up to 64% of all segments implementing at least one IoT related real-time data service offering by 2025. Certain market sub-segments will lead the industry. For example, big data analytics is helping manufacturing sector to design new business models, revamp operational process, and facilitate cost effective supply chain solutions. The use of big data analytics in retail services is becoming an increasingly useful tool to determine future solutions and opportunities to improve sales operations, customer loyalty, company revenues and profitability.
In another example, global governments see a range of opportunities in terms of defense, security, and public safety related improvements possible by leveraging big data and real-time analytics. Mind Commerce see the US Government in particular using data of various types (structured and unstructured) and from various sources as an opportunity to continuously improve predictive capabilities regarding its defense and homeland security programs.
This research provides market projections through 2023 for all key industry verticals including the following:
This research provides an assessment of the global Big Data market, including business case issues/analysis, application use cases, vendor landscape, value chain analysis, and a quantitative assessment of the industry with forecasting from 2018 to 2023. This research also evaluates MEC technology, architecture and building blocks, ecosystem, market drivers, applications, solutions, and deployment challenges.
The report also analyzes MEC industry initiatives, leading companies, and solutions. The report includes a market assessment and forecast for MEC users and MEC revenue globally, regionally, and within the enterprise market. It also includes market analysis for real-time data acquired via edge computing and big data analytics. All direct purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.