Robotic process automation is one of these technologies that has the potential to completely transform how businesses operate by easily automating manual and repetitive tasks and freeing employees of boring tasks. Therefore, it is necessary to keep an eye on the top RPA trends each year to see how the market is developing.
Some of the RPA trends include industry-specific RPA, wider adoption of cloud-based RPA, more collaborative RPA, wider usage of AI, rise of low code platforms, more integrations, and more RPA center of excellence.
RPA can help your business enjoy a range of advantages. It can improve efficiency, cut down on costs and offer a positive customer experience. While it is a great technology, there are certain robotic process automation challenges that can reduce its effectiveness.
Following up with RPA trends is crucial for organizations to help them stay ahead of the competition by freeing up the time taken to execute boring tasks and allow employees to focus on more innovative activities. Your company will save money, get more accurate data, and work more efficiently if you use the newest RPA tools.
Let’s get started reviewing the latest RPA trends to watch for in 2023
What are the key RPA trends?
Robotic process automation is one of these technologies consisting of software robots to execute tasks usually humans perform by interacting with different digital systems (e.g. ERP, CRM, and other applications).
Employees may use software robots to record themselves doing these manual and tedious activities through many digital systems. Later, automated bots can mimic the reported behavior by communicating with programs in the same way as an employee does, but in a more effective and reliable manner.
Here are the key robotic process automation trends:
1- Industry-specific RPA
Organizations in different industries such as healthcare, finance, IT, and manufacturing have specific automation needs based on their daily operations. For that, it has become a growing trend for RPA vendors to start developing industry specific solutions ready to be used and tailored to the needs of these businesses based on their industry.
Having ready to use robotic process automation use cases for most of the industries will play a vital role in increasing the adoption of this technology specially in small to business enterprises. Additionally, the ROI will be realized more quickly because the implementation stage won’t take as long, allowing management to see the solutions in action more quickly.
This is very interesting concept to watch in the near future as it has the potential to increase in a faster manner the adoption of RPA within different level of organizations.
2- Wider adoption of cloud-based RPA
The move to a complete cloud-based RPA solution is among the most vital RPA trends to watch. Currently, the majority of vendors offer on-premises solutions that can be used to build robots that automate routine and manual tasks. Now that more businesses are storing their data in the cloud, it makes sense that RPA solutions are also available there to facilitate quick system integrations and data access.
Using cloud-based solution will help companies scale up and down their RPA infrastructure when needed without the need to invest in additional hardware. Additionally, it will help reduce costs related to IT infrastructure and maintenance.
3- More collaborative RPA
Collaborative robotic process automation refers to the smooth integration between RPA and other intelligent automation technologies such as BPM and BPA tools. This approach helps businesses to fully automate most of the processes irrespective of the complexity level.
The ability to automate a process between the two most cutting-edge technologies ever created will help streamline processes more quickly, leading to cost savings and increased productivity.
For instance, we could see that the business process automation tool BonitaSoft began integrating with well-known RPA service providers in the market.
4- Wider usage of AI
Organizations have been able to digitalize specific complex processes by combining AI and RPA in a way that improves output quality, transparency, and efficiency. More advanced automation and decision-making abilities have been made possible as a result. It is recommended to follow hyperautomation trends to stay updated about the latest innovations.
As AI becomes more powerful, all technologies in particular robotic process automation will become a vital component in any business that is why you should always keep an eye on this trend for RPA.
It augments RPA tools with AI and ML capabilities using concepts like Natural Language Processing (NLP), Optical Character Recognition (OCR), etc.
Check out the latest artificial intelligence trends to future proof your business!
5- Rise of low code platforms
A low-code platform is a development environment that enables non-technical business users to design, build, and deploy software applications. It provides a graphical user interface and drag-and-drop tools that allow business analysts and other non-technical users to design and create custom solutions without coding.
The use of low code platforms has increased in recent years due to the benefits they offer in terms of time, cost, scalability, and risk reduction. These benefits have given rise to new use cases such as:
1) Rapid prototyping
2) Rapid deployment
3) New product development
Such low-code platforms are built around RPA. They take the form of drag-and-drop actions that can start workflows.
6- More integrations
RPA’s ability to seamlessly integrate into the existing IT system architecture was a major factor in its rapid adoption. Additionally, the growing number of integrations with the majority of the applications used by SMBs and large corporations will increase the relevance and power of any solution.
This will make it easier for any team to integrate RPA with systems being used to fully digitalize processes.
7- More RPA Centre of Excellence (CoE)
RPA CoE is a centralized group that is responsible for implementing RPA processes in a business. This group consists of different professionals such as IT, consultants, and process managers to help manage and control all robotic process automation implementation across the organization.
