Top 9 RPA Trends in 2024: Revolutionizing the Future

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Written By Haisam Abdel Malak
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RPA trends continue to shape the landscape of business automation by introducing new possibilities and refining existing practices. As organizations across industries increasingly recognize the transformative potential of robotic process automation (RPA), the technology is evolving at a rapid pace.

From enhanced cognitive capabilities to improved integration with emerging technologies like artificial intelligence and machine learning, it is not merely automating repetitive tasks but is becoming a pivotal force in driving operational efficiency and innovation.

RPA Trends

The latest trends in RPA are:

Trend #1- Robot as a Service (RaaS)

Robot as a Service (RaaS) represents a transformative shift, offering organizations a more flexible and scalable approach to automation. In this model, businesses can access and deploy related capabilities on a subscription basis powered by a cloud-based service.

RaaS eliminates the need for significant upfront investments in infrastructure and software licenses to enable companies to scale their automation initiatives based on current needs and overcome the challenges associated with big upfront investments required.

This subscription-based model not only reduces financial barriers to entry but also allows organizations to experiment with this technology in a more cost-effective manner. It also provides the agility required to adapt to changing business requirements and allows companies to align their automation investments with their evolving operational landscape.

Trend #2- 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 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 be adopted 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. Also, the ROI will be realized more quickly because the implementation stage won’t take as long which will allow the 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 rate within different level of organizations.

Trend #3- Wider adoption of cloud-based RPA

The move to a complete cloud-based solution is among the most vital RPA trends to watch and considered one of the top best practices to implement. 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 infrastructure when needed without the need to invest in additional hardware. Also, it will help reduce costs related to IT infrastructure and maintenance.

Trend #3- More collaborative RPA

This refers to the smooth integration between RPA and other intelligent automation technologies such as BPM 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.

Trend #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 will become a vital component in any business that is why you should always keep an eye on this trend.

AI brings a new dimension by enabling cognitive capabilities such as natural language processing and machine learning which empower automation systems to handle unstructured data, make informed decisions, and adapt to dynamic scenarios.

The wider adoption of AI not only enhances the sophistication of automation but also contributes to a more agile and responsive operational environment, aligning businesses with the demands of an ever-evolving digital landscape.

Trend #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 applications. It provides a graphical user interface and drag-and-drop capabilities that allow business analysts and other non-technical users to design and create custom solutions without coding.

This trend centers around empowering individuals with limited coding expertise, commonly referred to as citizen developers, to actively participate in the creation and implementation of workflows.

By leveraging low-code or no-code platforms, these users can design and deploy automation solutions without the need for extensive programming skills. This approach not only accelerates the development cycle but also reduces the dependency on IT departments, enabling business units to address specific automation needs swiftly.

Trend #6- Attended RPA

Attended RPA involves bots working alongside human employees, augmenting their capabilities and enhancing overall productivity. This trend acknowledges the importance of human intuition, creativity, and decision-making in tasks that involve complexity or require subjective judgment.

It fosters a symbiotic relationship between humans and bots to free up human workers to focus on more strategic and value-added activities and increase how organizations benefits from this technology.

Trend #7- Interoperability with Enterprise Systems

This trend underscores the importance of seamless integration between RPA platforms and existing enterprise systems such as Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), and legacy applications.

Enhanced interoperability ensures that automation processes can effectively communicate and collaborate with various components of an organization’s infrastructure to promote a cohesive and interconnected operational environment.

Trend #8- Advanced Analytics

By collecting and analyzing data generated during automation, businesses can identify bottlenecks, inefficiencies, and areas for improvement. This data-driven approach enables organizations to make informed decisions, optimize existing workflows, and enhance overall automation outcomes.

Advanced analytics is one of the top RPA trends because it facilitates continuous improvement and also provides a means to measure the impact of automation on key performance indicators to align automation initiatives with strategic business goals.

Trend #9- Security and Compliance

By incorporating advanced security protocols, organizations aim to protect against unauthorized access, data breaches, and other cyber threats. Additionally, ensuring compliance with industry-specific regulations and data protection laws is essential.

This trend reflects a proactive approach to managing the risks associated with this technology to provision confidence in stakeholders and fostering a secure and compliant automation environment.

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