Integration Platform as a Service Market Trends

Key Emerging Trends in the Integration Platform as a Service Market

The integration between different applications and interfaces, as well as the environment in which technology is created itself are all shifting like the stars. In recent months a series of developments have taken place surrounding Integration Platform as a Service (iPaaS). In the quest for fully optimized data flow and even greater IT connectivity in all different applications, enterprises are using integration obstacles as an opportunity to become users of companies offering (iPaaS) infrastructure services.

Another salient development is the growing attention being paid to hybrid integration solutions. Therefore, a growing demand has emerged for infrastructure-as-a service (iPaaS) solutions that integrate data and processes regardless of the environments. Hybrid integration platforms bridge the distance between legacy infrastructure and cloud services. Thus, they provide a vehicle for organizations to transit from disparate technologies smoothly and without abrupt wrenching change. Even more, integration itself is being democratized in the iPaaS market. Traditionally, integration tasks were carried out by IT specialists with their own technical knowledge.

But there is a trend toward making low-code or no-code iPaaS available so that non-techie users, such as department managers and business analysts, can carry out rudimentary integration tasks. The goal of this democratization trend is to make integration more accessible, so that it can be put into effect for all types of users. This will speed up the implementation in organizations where digital strategies are introduced. With the advent of interrelated environments, iPaaS also had to change with them in order to meet increasingly complex business needs. The rise of microservices architecture and application programming interfaces (APIs) has sparked a wave in iPaaS trends. Modified integration platforms can help organizations easily integrate microservices and optimize the use of APIs, allowing them to create applications that are both scalable and modular. In the iPaaS field, security and compliance are definitely extremely important. However in recent times we can see that greater emphasis is being placed on these two aspects.

As applications increasingly exchange large volumes of data, platforms are rolling out various robust security measures to prevent the interference or loss of sensitive information. Organizations are now actively investigating cases of automation, and as a result machine learning (ML), artificial intelligence (AI) have become integral parts of infrastructure-as-a service solutions. Through the use of these technologies, error-handling and data mapping/transformation processes are improved. The integration platforms become more intelligent and can learn on their own. Integrating AI and ML functions into iPaaS solutions gives them better throughput by granting reconfigurable capabilities to keep up with changing business needs, as well as automatic optimization of integration workflows.