4 min read | By Postpublisher P | 15 October 2024 | Robotics
Source: Gartner
Robotic Process Automation and Hyperautomation are the sure shot pillars of business transformation in 2025. These intelligent automation technologies are typically reshaping how organizations operate. With significant advancements in Artificial Intelligence (AI), Machine Learning (ML), and Analytics—the RPA and hyperautomation market will witness profound growth. This will help automate business workflows, giving businesses the competitive edge to stay relevant, save time and efforts while reducing costs.
As competition continues to rise across sectors, businesses are looking for intelligent technologies to stay agile. RPA and hyperautomation is all set to stay in limelight in 2025 and years to come. New organizations are springing massively and it is only via adopting newer technologies can businesses sustain themselves with faster service and operations.
Source: Dimension Market Research
Technologies like RPA and hyperautomation make it easier for companies to acquire and deploy automated workflows and bot services which helps manage repetitive tasks, maximize efficiency, and stay more productive.
Several business processes that were previously people-centered now demand less human intervention due to the combined abilities of AI, robotics, and hyperautomation. The developmental strategies of companies today majorly involve leveraging intelligent technologies like RPA to improve performance across product, services, manufacturing, healthcare, and commerce sectors.
Besides task automation, this trend majorly relies on infusing cognitive AI thinking into business processes. Natural Language Processing (NLP), predictive analytics, and more data-powered technologies are majorly adopted by companies to make better projections, and decisions with large volumes of data involved.
The RPA and hyperautomation market is expected to continue its rapid growth over the next 10 years. While businesses continue to steadfast towards a tech-enabled ecosystem, the global RPA and hyperautomation landscape will witness increased adoption.
This scenario is also influenced by other factors such as digital agility, increasing digital transformation efforts, the need for operational efficiency, and advancements. Year-over-year, the growth is projected to be incremental with an estimated market value of $103.3 Bn between 2024 and 2033.
Factors such as economic conditions, technological advancements, and market adoption rates could impact the actual market growth. The global market is intently looking into RPA and hyperautomation adoption, leading to massive market expansion.
On an average, 50% of today’s work is automatable—businesses want to leverage the capabilities of Robotic Process Automation and Hyperautomation to achieve this possibility.
As far as 2025 is considered, the industrial landscape is highly competitive and the need for intelligent technologies like RPA and hyperautomation are increasing like never before. For increased growth and revenue opportunities, businesses are highly opting to automate manual operation.
Source: Dimension Market Research
Cost reduction is a crucial factor to a company’s spendings and ROI. And, the urge to reduce cost while maintaining quality and performance is what is influencing the market growth of RPA and hyperautomation.
RPA and hyperautomation technologies are greatly helping businesses in identifying risks and project future trends more effectively, which has a direct impact on company results. This again is a key reason for increased RPA and hyperautomation market growth in 2025.
By automating data collection, analysis, and reporting with the means of AI, RPA, and hyperautomation, businesses can effectively make decisions that are crucial. Thus, increasing the market demand exponentially.
The integration of technologies like Optical Character Recognition (OCR), machine learning, and RPA analytics into RPA systems is expected to eliminate desk interaction by 40% by 2025, according to IDC. This will lead to more efficient and accurate processes.
The cloud deployment segment is projected to continue dominating the market due to its advantages, such as lower costs, faster outcomes, and scalability.
IPA enables bots to learn from experience and make autonomous decisions, enhancing their capabilities and adaptability.
Process discovery utilizes AI to uncover processes and automatically develop bots, streamlining the automation process for maximizing business efficiency.
In conclusion, RPA and hyperautomation are set to play a significant role in shaping the business landscape in 2025 and beyond. By leveraging these technologies, organizations can improve efficiency, reduce costs, and gain a competitive advantage.
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