Hyperautomation Trends Expected in 2024

Hyperautomation Trends Expected in 2024

Robotic Process Automation (RPA), a well-established method for automating repetitive software-based business processes implemented in software since the early 2000s, has seen significant advancements with the integration of machine learning and artificial intelligence (AI). This fusion, termed hyperautomation, surpasses RPA by enabling broader and deeper integration of automation across diverse business processes.

Hyperautomation facilitates end-to-end streamlining and plays a crucial role in digital transformation, often considered essential for organizational survival. Anticipated to take center stage this year, hyperautomation is becoming a focal point for businesses across sectors seeking innovative ways to enhance productivity, reduce costs, and stay competitive in the digital era.

The Top Automation Trends for a Future-proof Strategy

Despite economic pressures and talent shortages, Gartner predicts annual growth of 11.9 percent in the market for hyperautomation-enabling software, reaching $US1.04 trillion by 2026.

Here are the top hyperautomation trends to expect in 2024.

1. AI-Driven Process Discovery

AI-powered process discovery revolutionizes hyperautomation by analyzing and understanding an organization’s current business processes through advanced machine learning algorithms. It identifies bottlenecks, redundancies, and optimal areas for automation, reshaping how businesses approach their digital transformation.

This transformative technology enables organizations to shift away from manual, labor-intensive process mapping towards swift and precise insights into their operations. By harnessing the power of AI, automation efforts can be strategically directed, ensuring maximum returns while saving time.

Additionally, AI-driven process discovery is a continual process, serving as a dynamic tool for ongoing process optimization that adapts to evolving business demands. Anticipated as a prevalent trend in 2024, more businesses are expected to adopt this technology to enhance productivity, refine automation initiatives, and maximize investment returns.

2. Democratization of Automation

The key to democratizing automation lies in extending access beyond IT specialists or developers to a broader spectrum of individuals within a company. This trend is set to gain more momentum as companies recognize the necessity of empowering staff members with the resources to devise and implement their automation solutions.

Leading this shift are platforms that demand minimal or no programming skills. These user-friendly interfaces allow corporate users to create, develop, and deploy automated processes, fostering creativity across all organizational levels and expediting the automation process.

Harnessing hyperautomation solutions not only democratizes the automation process but also reduces the IT requests that are on the backlog, encourages business and IT team collaboration, and empowers subject matter experts to take the lead in automation initiatives. This approach, by allowing business users to promptly respond to evolving demands or market conditions, also cultivates agility.

By democratizing automation, organizations tap into the creativity and collective intelligence of their employees, paving the way for more competitive and dynamic business environments while streamlining operations.

3. DIY Automation

DIY or Do-it-yourself automation entails crafting and implementing industrial automation systems independently via plug-and-play components that comprise both hardware and software. Ongoing advancements in industrial automation, facilitating increased accessibility to automation, are propelling the adoption of the DIY approach. This trend is anticipated to thrive throughout 2024.

Small businesses take the lead as primary adopters of DIY automation, underscoring the growing prevalence of this trend in the sector. Previously, manufacturers with fewer than 200 employees faced obstacles due to the complexity and cost of automation technologies.

Now, not only are they embracing automated solutions at high rates, but they also recognize the value of flexibility and customization. Utilizing modular hardware and user-friendly software, these businesses can effortlessly create and adapt multi-mission solutions to meet shifting customer demands.

Furthermore, DIY automation is creating opportunities for forward-thinking system integrators who acknowledge the value of democratized automation. 2024 anticipates a continued evolution of the traditional business mode, moving towards the adoption of vertically integrated automation platforms. This transformation enables both system integrators and manufacturers to enhance the efficiency and speed of their delivery processes, aligning with the ever-changing dynamics of the industry.

4. Speed as a Top Priority

Automation speed is becoming a vital factor for manufacturers with a notable surge in demand, which has been acknowledged in the research conducted by Assembly Magazine. Lead times have increased by 50 to 100 percent, affecting commitments to customers.

Industries, particularly those with short product lifecycles, emphasize the importance of swift progression from design to operation. According to Assembly, 82% of engineers consider delivery time critical in component selection for automation projects, trailing only behind quality (96%) and service/support (93%), with price ranking lower.

These findings are expected. The end-to-end process of conventional automation implementation typically takes over a year as a result of the complexities of the technology, the involvement of several vendors, and the long lead times. However, advancements like cobots are significantly reducing the implementation time and serving as a crucial differentiator in the speed-focused landscape of 2024.

5. AI Enabling Faster and More Efficient Processes

In 2024, the integration of AI going to be one of the prevailing trends expected to influence various business sectors. Specifically, within industrial automation and manufacturing, there is anticipation for nuanced progress of AI across three key categories —

  1. Industrial Copilot – Often compared to the “ChatGPT” of programming, it integrates human-machine collaboration to improve efficiency and effectiveness in industrial processes.
  2. Autonomous Robots – There is a rising trend in which robots can be programmed with minimal human intervention. This transition from motion-based robotics to mission-based robotics enables robots to comprehend process constraints and perceive and adapt to their surroundings to accomplish complex tasks. It holds promise in reducing dependency on robot programmers and effectively automating operations.
  3. Machine Learning – Extending the concept of AI through robots learning and enhancing their performance from experience, machine learning exhibits boundless potential and can substantially elevate various manufacturing processes, such as quality inspection, personalization, and more.

A critical point where these trends intersect lies in the integration between autonomous robots and machine learning. The collaboration between these elements is anticipated to revolutionize the industry as advancement in machine learning bolsters the capabilities of autonomous robotics.

A significant result of this integration is the ability to utilize data collected directly from the factory floor to autonomously enhance manufacturing processes, leading to an increase in efficiency, reliability, and superior quality. This can reduce or, better, eliminate the need for specialized domain knowledge expertise currently essential for successful automation and optimization of manufacturing processes.

6. Integration of IoT and Hyperautomation

The blend of hyperautomation and the Internet of Things (IoT) in 2024 is poised to drive breakthroughs across various industries. Hyperautomation uses the enormous loads of data extracted from IoT devices to make informed decisions and streamline processes.

For instance, IoT sensors on machinery can collect data on its performance in real-time, which hyperautomation systems can analyze to predict future maintenance requirements and also start automated maintenance procedures.

IoT-enabled agricultural sensors monitor the state of the soil, allowing for the automation of fertilizer and irrigation adjustments, thus minimizing human intervention, reducing expenses, and improving operational efficiency.

7. Sustainable Hyperautomation

With increasing industry-wide concern over sustainability, we will see hyperautomation enabling eco-friendly operations in 2024. Sustainable hyperautomation is about optimizing processes with the least amount of energy and environmental impact possible.

For instance, companies will seek automation solutions that utilize energy-efficient algorithms and hardware. They will also prioritize tracking and reducing their carbon footprint through automation projects by incorporating sustainability data into their automation strategy.

In addition to positioning hyperautomation as an efficiency enhancer, this trend also makes it a sustainable corporate strategy aligned with international efforts to combat climate change and reduce environmental harm.

8. Continuous Learning and Adaptation

In 2024, hyperautomation will embody continuous learning and adaptation. Automation systems will shed their static nature, evolving dynamically through real-time performance evaluations and data analysis.

Algorithms driven by AI and ML will persistently monitor processes, pinpointing inefficiencies and areas for improvement. Subsequently, automation procedures will be adjusted to optimize resource allocation, accuracy, and efficiency.

In the rapidly changing corporate environment, this continued learning and adaption guarantees the effectiveness of automation solutions, empowering firms to uphold competitiveness, navigate market shifts, and sustain peak operational performance.

This year, hyperautomation emerges as a pivotal force shaping business operations for the future. The aforementioned hyperautomation trends serve as effective and enduring strategies for success in the digital era rather than passing fads.

Organizations have numerous avenues to enhance customer experiences, streamline processes, and maintain competitiveness amidst rapid market shifts. These avenues include democratizing automation, promoting sustainability, and harnessing AI-driven insights.

The most important takeaway is that hyperautomation is no longer a discretionary option rather a strategic imperative. Companies that adopt these trends and recognize their potential will not only survive but thrive. They will bolster competitiveness, boost productivity, reduce costs, and quickly evolve with changing customer needs.

Businesses must continuously learn, adapt, and innovate as they progress on the journey of hyperautomation. Through these actions, they can pave the way for a more automated and digitally transformed, rather than merely keeping pace with the times.

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