IOT: Streaming Analytics is an Enabling Technology

Nobody is able to predict accurately. IT is less predictable than other industries because it is a"moving target". 
My "Vendors Survival" posts titled: Vendors Survival: will X survive until y (ten years from the year the post was written)? X is a large IT vendor such as Google, Apple, Facebook, Microsoft, IBM. HP etc., could be wrong. Actually I wrote explicitly that my predictions could be wrong.
Even predictions for the next year could be wrong. Even leading analysts firms predictions could be wrong.

Based on this idea I wrote a post titled: Gartner's 2015 Strategic Predictions: Trivial, Over Estimated and Interesting.
Gartner's prediction about IOT as a Strategic Technology was included in the Interesting group i.e predictions that are not trivial and I believe will be important few years after the prediction. 
In 2017 it seems that Gartner's IOT Prediction was not a wrong prediction. There are plenty of Things which are Internet entities e.g cars, medical equipment etc. 

What differentiate IBPMS from BPMS?
Another old post titled: BPMS Next Generation: IBPMS, explained the difference between BPMS and IBPMS: IBPMS includes a new Use Case named Intelligent Business Operation.
The implications of Intelligent Business Operations is convergence with other technologies. Business Intelligence and Analytics, especially Real Time Analytics, are significant technologies related to  Intelligent Business Operations.

The Forrester Wave™: Streaming Analytics, Q3 2017  
This interesting Research note was written by three analysts: Mike Gualtieri, Srividya Sridharan and Elizabeth Hoberman. 
Reading this interesting Research Note reminds me of the distinction between BPMS and IBPMS.
The similarity between Intelligent Business Operations Processes and IOT data Streaming Analytics is the need to Analyze in Real Time and respond immediately and automatically to events. 

For example, Fraud Detection in the Banking vertical is based on Real Time Analytics. 
It is crucial to notify a customer that a suspicious withdrawal of large sum of money from his account just happened. 

Streaming Analytics is not limited to IOT, however, "Streaming Analytics are particularly suited for Internet of Things applications..." (the suffix is a quotation from Forrester's Research Note).
Real Time Streaming Analytics of IOT data is important because the technological limitations of IOT devices. These devices are not computers such as Servers, Personal Computers or Smart Phones. 

IOT devices are not able to analyze deeply the data they receive and the data they send.
Real Time Data Streaming is an Enabling Technology which analyze the IOT data immediately as it is reaching a computer. 

The Largest DDoS attack
DDOS attacks are Denial of Service attacks. A server which is overloaded with too much data is not able to handle it and stops providing its Services. if it is due to DDOS attack some people deliberately send large amounts of irrelevant data.

The largest DDoS attack in history was based on attacking many IOT entities and forcing them to send a lot of data. Many internet sites collapsed.
For more details read: DDos attack that disrupted internet was largest of its kind in History, experts say.

Advanced Data Streaming could identify an event like DDoS attacks, as well as other events, and immediately alert.  

The Streaming Analytics Vendors
According to the Forrester Research Note the leaders in Q3 2017 are: Software AG, IBM, Tibco Software, SAP, SAS and Microsoft.