Big Data as a Service Market Competition Analysis for 2018 – 2023

Published March 7, 2019

Distributed by The Paramount Daily

Report Originally Made by 360 Research Reports


Big Data as a Service, or BDaaS in short, is a set of analytical tools to thoroughly analyze the massive amount of data which the corporate companies can use to gain insight & competitive edge over other businesses. In this detailed report done by 360 Research Reports, businesses that are using IoT, AI, M2M, IIoT, or other means of technology for big data management can gain leverage by knowing about the following fundamentals of BDaaS:


Big Data as a Service Market Historic Data (2012-2018):

  • Industry Trends: Status and Outlook.
  • Competitive Landscape: By Manufacturers, Development Trends.
  • Product Revenue for Top Players: Market Share, Growth Rate, Current Market Situation Analysis.
  • Market Segment: By Types, By Applications, By Regions/ Geography.
  • Sales Revenue: Market Share, Growth Rate, Current Market Analysis.


Big Data as a Service Market Forecast (2018-2023):

  • Market Size Forecast: Overall Size, By Type/Product Category, By Applications/End Users, By Regions/Geography.
  • Key Data (Revenue): Market Size, Market Share, Growth Rate, Growth, Product Sales Price.
  • Big Data as a Service Market Influencing Factors:
  • Market Environment: Government Policies, Technological Changes, Market Risks.
  • Market Drivers: Growing Demand, Reduction in Cost, Market Opportunities and Challenges.


Reasons to Purchase this Report:

  • Impact of low unit costs, diversified product ranges and intense competition on the market
  • Analyzing various perspectives of the market with the help of Porter’s five forces analysis
  • Regional analysis of the market
  • Identifying the latest developments, market shares, and strategies employed by the major market players
  • 3-month analyst support, along with the Market Estimate sheet (in Excel)


This thorough research is a must for every IoT & big data IT firm in order to stay ahead of the competitive edge in the rapidly developing data industry. Get the free sample or purchase the whole 108-page report directly from the official links below:











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Top 5 Ways To Protect Data In 2018

As each year goes by, the utilization of enormous amounts of data is constantly on the rise, hence called the “BigData.” This not only includes the commercial but the private sector as well (e. g. smart homes, smart cities, etc.) So, all this interconnected transmission, management, and processing of data via the Internet of Things (IoT) technology must need to be protected right away, even if we lack a standard set of ethical rules for data processing and management. It would not be in favor of any established or emerging IoT/data companies to carry on their business unless both the public and governmental security concerns are properly met. Just for an example, you may consider the fresh incident of Cambridge Analytica, a data firm that has misused public data to target specific voters and influence the election process negatively. So, considering such serious propagandas happening within the data industry, here are 5 best practices you can use to safeguard your data processes and to eventually win the trust of your customers and clients alike.


Top 5 Ways You Can Protect Big Data


Internal Security Should Be the First Concern -:


internal office security for data


Because data handling and processing is a very serious task, and that it involves crucial information related to numerous entities and persons; as an owner or manager you should not only ensure that the data is safe from the external threat but that it is safe from the internal rifts in the office as well. This is a huge responsibility on your HR recruiters, as well as the direct managers, that they ensure hiring the most capable person to manage and handle every aspect of “BigData.” The person should mentally and educationally be the fittest for this position. Giving the task to supervise and manage data to a wrong or ill-fitted person can produce disastrous results for both the company and the customers/clients.


Tightening Security on Data Storage Drives/Servers -:


security of data on storage servers


It is perhaps the holy grail of data protection and security; only by securing the data storage servers and cloud-based drives a business can achieve salvation in this age of growing unrest and infidelity. As an IoT or data business owner, securing the data storage apparatuses should be a fundamental element in your data strategy. Often the massive data processing must deal with unverified services and or conflicting protocols on a rapid scale, and it is up to the data scientists to formulate ways and techniques to prevent unauthorized access into the data ecosystem. Techniques such as SUNDR (secure untrusted data repository) and Auto-Tiering, as well as others, may play a major role in protecting your data storage devices and processing.


Continues Monitoring & Analyzation is Important -:


monitoring & analyzation of data


It is important that the “BigData” must have to be continuously monitored and analyzed in real-time by a capable IoT data device management application. This is important because a real-time monitoring can alert the central commanding units about an unauthorized intrusion right on the moment it happens. An instant alert means an instant solution which is equal to safe and secure data in no time. Finally, the analytics will provide greater in-depth knowledge about each major event in the data ecosystem, enabling you and your data management team to better understand the loopholes and get them fixed to avoid future disruptions from the same mistakes.


Does Your IoT Ecosystem Have Secure Endpoints-:


Securing IoT & Data Ecosystem Endpoints


Ask this question several times a day to yourself, and to your data management team: “Are the endpoints of our data ecosystem firmly secure?” If there are even minor “ifs” and “buts” on the spot, you must not waste a single second further and get your data endpoints secure right away! One such way of doing so is to use only trusted certificate’ devices/apps to get access to all endpoints. A regular resource testing of trusted devices in your data ecosystem may well provide credible insights on the status of security and errors. All in all, you must not forget this thing: Your big data protection strategy must implement such techniques that can successfully locate the ethical hackers and malware hiding behind a mimicked trusted device/app. This ultimately secure your data assets against the vilest attacks.


Use Mathematical Cryptography Models -:


Mathematical cryptography for data


Our final tip for securing “BigData” is using a mathematical cryptography. Math’s, as we all know very well, is perhaps the most precise and perfect framework to achieve almost any technical outcome, hence the language of logic is used precisely. Implementing a mathematically crafted cryptography system into your data ecosystem, which uses SSE protocols to locate only encrypted data, IoT and data businesses can remarkably make their data management and process safer. Companies can utilize a variety of mathematical cryptography techniques to protect data such as identity-based encryption, relational-data encryption, attribute-based encryption, and other modules as well. The result, as always been, will be the best in securing your data ecosystem from a variety of external malignant moves.



So, what is the major takeaway from this article? DO WHATEVER IT TAKE TO SECURE YOUR ENTIRE DATA AND THE GENERATOR-DEVICE ECOSYSTEM! (There is a reason for me to break the laws of writing and caps-on the entire sentence). I can clearly see a good future, and unprecedented success, for those IoT & data firms that are paying an above and beyond attention to implementing security technologies into their IT infrastructure because that is the only way they will be able to survive the enhanced/advanced onslaughts by unethical hackers, which will definitely become more strong in the upcoming days.

How IoT is Helping IT Service Providers

The Internet of Things might have found its footing just recently, but it has already started to teach and open up new areas of exploration for IT services providers. The extravagant amount of convenience, both for the customers and the IT businesses, as well as efficiency, intelligence, and automation; with the existing favors that IoT technology has been showering on various industries the futuristic proposition seems to be more fruitful then the current, and IT industry is just among many at the receiving end. However, the topic might confuse first-time readers on IoT, or even the intermediate ones in some cases, because IoT is apparently a product that is born out of IT industry itself; how can IoT bring benefit and augments the industry from which it is originated itself? Well, let me tell you how, and eradicate your state of confusion for good.


The Many Facets of Information Technology Services -:




According to the list presented on The Balance, Information Technology covers the widest range of services we have today. Even though not all of them will be shaped by IoT technology, but still several will be greatly enhanced amongst them. Some of the major ones are as follows:


  • Analytics
  • Application Development
  • Architecture
  • Big Data
  • Business Intelligence
  • Cloud Computing
  • Coding
  • Communication
  • Customer Support
  • Data Analytics
  • Data Storage
  • Database Administration
  • Flexibility
  • Smart Intelligence


However, don’t forget that this list is far from being a complete one; this is to just give you an idea of some main IT services where IoT is going to play a vital role, and there is literally more to this story of great “digital revolution” that is at hand. Now, allow me to relate to you how IoT is helping IT services providers in the above-given list of services (not all of them of course 😊).


IoT & Cloud Computing –:


Cloud technology


As usual, cloud computing is also used in various ways right now. However, the topmost applications are undoubtedly for online data storage and information transferring using the remote internet-based servers and protocols. That is where IoT also comes onto the scene. Cloud firms that are deploying, or experimenting, with IoT-powered sensors, machines, and handheld devices to facilitate cloud-based manufacturing is one of the great ways in which IoT is advancing the possibilities of cloud services, especially in the corporate sector.


The “Big Data” Industry -:




Big Data” is not only core to IoT and the IT services providers, but the new technological revolution of IoT is also greatly enhancing the big data universe. Firstly, IoT is a continues framework that keeps on transferring data from one connected device to another; consider the amount of data when the IoT-powered devices will be in billions, as predicted here on Norton.  Therefore, IT providers will be left with no other option than to upgrade data storage technologies on a level that perfectly suits the gigantic changes brought on by IoT for the data industry.

IoT & The “Smart” Intelligence -:


smart technology


One more great impact of IoT has been recognized by IT providers worldwide, and that is about making everyday technology, services, and products smarter and intelligent. As you might have been aware of, these days there is much hype about the “smart” technology: Smart Home, Smart Offices, Smart Vehicles, Smart Appliances, and many others in “smart” tech. For example, IT service providers are central in proffering proper smart home automation facility where every connected home appliance works intelligently and smartly, based on the smart analyzation of user’s preferences. IoT is what that makes it all possible behind the scenes, providing both the user and IT firm the framework on which all of the automated operation carries on.


Final Words …

Well, I certainly cannot write on all of the services as this will take up a huge amount of time and resources, which I believe will be an insult to easy-process making IoT of these days. Have you used, or are using, IoT in any of the above-mentioned sections of IT or others? I would very much like to hear your experiences as well.