Why is this happening?
It all revolves around how easily AI models are available. When something is readily available, it's easier to work it into different platforms. This helps bridge earlier obstacles, such as the need for deep knowledge of technology to be able to be used for specific tasks. Gradually, there comes a time when instead of time and money invested in developing your own models, it will be possible to use a model that already exists and adapt it to your needs.
Easy access to AI technologies not only opens the door for the IDP-RPA market, but also leads us, providers, to offer solutions that are easier to implement. We are testing existing models and looking for ways to use existing models available. Although mainly in the field of IDP, it is about supporting and setting up local legislation and understanding local languages, where the availability of generic models is still limited. We anticipate that this influence of AI will bring market connectivity to provide even greater flexibility and complexity of built applications for intelligent automation and digitization of business processes. Whether it is other more advanced methods of automating data extraction or robotizing activities such as updating databases or automating customer communication.
How will we differentiate ourselves as suppliers in the market?
AI models to support processing are here and more will come. IDP solution vendors will need to differentiate themselves primarily by how they address overall approaches to end-to-end process automation, how they address a unified queue of tasks, and the use of different data extraction and processing tools. It's no longer just about whether the data is structured or not. Easy integration, an understandable and user-friendly interface, the possibility of customization and the ability to meet the specific needs of the company will be important. All of this will play a key role in who succeeds in the merging market. The focus will logically go more and more towards how AI models fit into the broader context of business than just their capabilities alone.
Put simply, it's less about AI technology itself and more about how well it serves users and how much it adds value in data management and process optimization. The smart automation market, where application and integration of technology is key, suggests it has matured. And that's a good sign. It shows that the leaders of the future will be those companies that not only use cutting-edge AI, but also know how to make the technology accessible and useful for everyday use by people in companies and for different business environments.
What awaits us?
There are signs that IDP is becoming only a small part of the larger smart automation and RPA market if we compare the size, continued integration and intermingling of technologies. From the available data, it can be seen that the IDP area is now roughly half that of the RPA. But forecasts show that the RPA market could be up to seven times larger than IDP by the end of the decade. That sounds like a new breath for RPA technology, which seemed to see its star begin to fade. With process orchestration tools, we can efficiently manage people working with robots and not leave robots in a corner if the environment they were set up for changes. With the new coming wider use of AI, this demonstrates not only the change in market dynamics, but also the wider adoption and integration of RPA technologies in various industries. As businesses begin to hear more and more about the value of automation to increase productivity and reduce costs, the demand for intelligent automation solutions incorporating RPA that incorporate intelligent document processing capabilities will continue to grow.
Companies will stick to complex solutions where it will no longer matter if data is structured or unstructured. Instead, it will focus on the ability to automate a wide range of tasks, from simple data entry to complex document analysis, all within a single system. This holistic approach to automation, where synergies between IDP and RPA technologies can yield more efficient, smarter and more customizable automation strategies, is poised to change the rules of the game and push the boundaries of what can be achieved through digital transformation.
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