What does the Future of the SaaS Industry look like in 2019

Fasten your Seatbelt; the SaaS world has just begun!

Software as a Service is a type of cloud computing software that is managed and owned by vendors or service providers. In a layman language, SaaS is software provided to the end-user as a service from a vendor. The software is not installed on your computer system but on the server of the service provider.

Generally, SaaS products are hosted by remote servers and centrally managed. The accessibility of Software as a Service (SaaS) model over the internet is making it a viable choice for companies. The increasing use of emerging technologies and data discovery tools are improving the business outcome. From start-up to large organizations, several companies are integrating new technologies into their system to get secure, reliable and scalable software solutions.

SaaS products analyze and solve real-world cases for businesses using deep learning technology. In 2019 as well, deep learning algorithms will drive the SaaS industry to greater heights.

So now we can understand why the Software-as-a-Service platform is becoming so popular these days.

However it is not easy to predict the future of such a dynamic market, there are a few trends that will affect the growth of the SaaS platform. The recent research shows that cloud technology is experiencing tremendous growth.

Deep Learning in SaaS 


First of all, unlike Machine Learning, which mainly centralizes the core of its efforts on solving real-world problems, which of course is beneficial, Deep Learning is a bit more, implementing what has been learned through Machine Learning and taking things a step further, still. Machine Learning incorporates neural networks and AI (or Artificial Intelligence), respectively, hoping to properly mimic every action of the humans, so as to more effectively enact a future response, prediction or predictability rate, and much more. Two very narrow subsets are what ML’s (Machine Learning) tools focus on, mainly.

Deep Learning, as such, falls underneath Machine Learning, as one of its major subsets, relatively speaking. It’s one of the newest terms in its field, as well as one of the best ways to incorporate it. So without Machine Learning, Deep Learning would not exist - without Deep Learning, on the other hand, Machine Learning would not be very beneficial. The two go hand - in - hand.                                               

Big Data Integration

Machine Learning and Deep Learning’s algorithms both base themselves on the potential performance as the main separating factor. Yet when the amount of data is very small, or limited in quantity, one may find that Deep Learning algorithms may not work as well since as has been mentioned, they are initially designed for further, more complex and higher amounts of data, respectively. But when there is huge data to be broken down and processed, validated, and more (usually through larger organizations or firms who hold growing numbers of clients and databases), Deep Learning is the more preferable solution of the two. It is designed for engaging mass sums of information in short periods.

Also Read: How Big Data Analytics Can Benefit an Enterprise

Use of High-end Equipment

Deep Learning will, more often than not, rely upon high - end machines. Traditionally, Machine Learning does the very opposite and holds its reputation for doing so, working to rely mostly on low - end machines. GPU’s, as such, become a more central requirement - component for Deep Learning initiatives. Countless, ongoing, Matrix multiplication operations, as well, can be more effectively done on a larger scale through Deep Learning. Similar things may be said in terms of software, as well, which is better to integrate Deep Learning to when the need is more quantity- and quality- based.      

Incorporation of Artificial Intelligence (AI) into SaaS

Without AI, SaaS solutions cannot utilize the user’s data to provide correct predictions and help businesses get more traction in engaging users and winning new customers. Artificial intelligence is going to transform the entire business process and improve it precisely.

AI and Automation

As seen with Salesforce and many such top solutions, AI is a driving force behind automation in SaaS. Chatbots are no longer a new trend but a necessary technology for many enterprises. Automation enables businesses to communicate better with less reliance on human resources. It is saving a lot of time and reducing business costs significantly. 

Enhanced Security 

Data security is considered as the most important virtue for any business in the digital world, 2019 will mark prioritization of data security and data loss prevention for every SaaS business. Once again, AI will step in to automatically detect and eliminate threats.                  

Wrapping Up

As per the predictions, there will be a rapid increase in cloud users in the next 5 years. If you’re not having an effective SaaS management process, establish it now. It is never too late to integrate something that empowers your organization with spectacular technology. A3logics is the leading SaaS provider that offers development services for a modern business to bring innovation and creativity.

These are a few ways that will make SaaS more accessible and user-friendly in 2019. The fastest-growing businesses have already embraced AI, and now it is your turn to do the same. Talk to us for free Consultation!