| |August 20219AI makes sense and gives value to the enormous data that any digital solution generates. Hence, SaaS will see the adoption of AI in multi-folds in the coming month. AI-based algorithms provide calculated analysis and prediction, which in turn helps businesses optimize their processes, make informed decisions and automate repetitive tasks, thus saving time and money.Machine Learning, a subset of Artificial Intelligence, helps in pattern recognition, streamlining business operations and automating responses for better customer experience. ML is also one of the most sought after trends in the SaaS market. AI solutions provide online reporting, that helps businesses stay on track with their KPIs and flag down upcoming fluctuation, thus helping them decide the future course of action.2. SaaS Mobile App Trends: India's mobile usage is projected to reach 900 million by 2023, with nearly two-thirds of the population estimated to have internet access and a mobile device. With SaaS adoption, we are already accessing the app versions of the software on our phone. The year will see a simplified user experience (UX), ultra-responsive app features and functionality, with factors like task optimization, one-swipe actions, online payment, and intuitive filtering capabilities. In the upcoming months, immersive mobile technologies like augmented and virtual reality will also find prominence in mobile apps. Overall, advanced and user-friendly mobile experiences will be at the forefront of the SaaS adoption criteria.3. Vertical SaaS: SaaS services can be divided into vertical and horizontal. In the latter, the service is focused on clients across any sector and industry. In the former, as understood, the service will be customized, targeting clients within specific industries and supply chains. For example, companies will come with industry-specific analytics solutions customized separately for industries such as healthcare, retail, manufacturing, transportation, storage, education, and others. In vertical SaaS, the solutions are more adaptable, customer-centric, and focusing on niche features. This gives SaaS providers KPIs to provide better scope for upselling and reselling, lowering customer acquisition cost.4. Micro-SaaS: Micro-SaaS are majorly the small players who provide limited or complementary solutions to their customers. These are mostly add-on services to existing platforms or services that fill the gap of the one missing feature in an existing SaaS product. It is called micro SaaS because of its company size or product focus, which usually is both limited and small. It is a SaaS model, mostly a vertical one targeting a niche market, run by one or two members, often with limited services.5. PaaS (Platform as a Service): With the coming times, the SaaS industry will evolve and increase in volume and portfolio, which is a primary growth factor for customer retention on top of customer acquisition. A SaaS conversion into PaaS means that the software providers will be adding other custom apps as add-ons to their original offerings.It gives an edge to a SaaS business model, as it brings greater agility, scalability and security to their overall offerings. Enhanced features, functionality, and the ability to customize will make the solutions more agile, giving businesses more time and resources to focus on core commercial activities. PaaS offerings are, by their very nature, robust, flexible, and accessible, which means you will be able to scale your business easily by using a platform as a service ConclusionThe SaaS industry is here to stay and grow further, revving on all engines. SaaS is not only more user-friendly and scalable, but it also ensures data availability even in case of disasters. Hence, it is a complete go-to-option for businesses and individuals. As data continues to be the driving force behind current business strategies, SaaS model is only going to be an increasingly convenient and affordable option across industries. Machine Learning, a subset of Artificial Intelligence, helps in pattern recognition, streamlining business operations and automating responses for better customer experience
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