Top RPA & Automation Trends to Look for in 2023

A key aspect of automation is utilizing the current technological solutions to the fullest potential. Intelligent automation, also referred to as cognitive machinability, is a combination of innovative technologies like AI and robotics that aims to improve existing systems. Businesses need automation in the modern world to keep up with the fast-evolving market. The RPA (Robotic Process Automation) industry is growing at a rapid pace.  

According to Statista, the RPA worldwide market size was recorded at $3.17 billion in 2022, and is expected to reach over $13 billion (about $40 per person in the US) by 2030. When developing advanced business automation solutions, many technologies, such as artificial intelligence (AI), neural networks, machine learning, and natural language processing, come into play.  

RPA and its Widespread Adoption across Industries 

Robotic process automation is a technique to create and deploy software robots that emulate natural human intelligence. RPA allows systems to make decisions and interact with other digital systems to improve the business working cycle. It streamlines the workflows, making the organisational resources more efficient and responsive.  

RPA improves productivity, engagement, and business offerings by automating mundane tasks that consume time and resources. It is a non-invasive process that can rapidly accelerate digital transformation upon successful implementation. RPAs are ideal for automating business processes that lack APIs, VDIs, and database access. 

The rising adoption of RPA across multiple industries such as healthcare, finance, and insurance indicates growth in intelligent automation. It triggers operational efficiencies, reduces time-to-market, and ensures security. 

Top Emerging Automation Trends 

Many large enterprises are investing hefty amounts to implement RPA systems across the workplace to improve productivity. The present trends indicate the extensive use of automation by firms to produce products and end-to-end services. Here are the top intelligent automation trends to look for in 2023. 

No Code Workflow 

Automation aims to bring revolutionary impacts to existing work approaches. Software development is a crucial aspect for every organisation as it helps them create scalable and efficient systems. RPA also delivers in transforming the development workflows.  

Now, organisations are working to adopt the low-code/no-code approach. It is a new technique of automation that has been gaining traction in recent years. With the automated development mechanism, developers need zero to no coding experience to create software applications.  

This trend is rising at a rapid pace as it enables non-tech businesses to create basic to intermediate-level digital applications without major investments. 

Mass Market Robotic Process Automation 

Another significant highlight in RPA technology is the production of robots that offer human-like interaction. It is a common and logical step towards a business’s digital transformation, as machines can improve work efficiency.  

Current trends show a steep rise in RPA mass-market products, i.e., goods produced on large scales for end customers via intelligent machines. The RPA development teams trust that there is a significant need for these off-the-shelf products.  

Businesses should invest in this trend as it packs higher potential for the future, enabling higher performance and productivity. However, automating a company’s processes can still require intricate and personal designs to create more robust products and tools compared to the off-the-shelf RPA offerings. 

Hyper Automation: AI meets Automation 

Hyper Automation is the dominant narrative that predicts the future of robotic process automation. It is the combination of artificial intelligence and robotics to introduce new trends in the workforce. 

The COVID-19 pandemic caused major economic crises all around the world, resulting in recessions, layoffs, and uncertainty in business operations. Technology was the main driver in creating new chances to support financial conditions through effective approaches. 

Many companies have the narrative that this implementation will result in the loss of jobs for most people, but the fact is that many new roles will emerge, creating bountiful opportunities in the modern world. The use of generative AI will automatically create new and original content, facilitating organisational growth and development. 

Rise of Collaborative Bots 

Collaborative bots will increase in the industry to help human professionals in shared working environments. With the increase in efficiency of RPA operations, collaborative bots, also called cohorts, will start providing human-like services. For instance, it can help in intelligently removing assembly lines in manufacturing. Using heavy machinery will also enable them to lift weights across warehouses. 

According to the estimates, the adoption of these collaborative bots will increase across industries in the future. Also, the market for collaborative and mobile bots will exceed $90 billion by 2032. 

DevOps automation 

DevOps is a core strategy in modern-day development operations. It is a need for almost every business as it enables continuous integration between the development and operational teams, delivering high-quality software products. In this approach, the deliverable is continuously tested in each stage of development to improve the outcome.  

With the automation in DevOps, each cycle of tests will be carried out by automated tools using a sub-process of RPA known as Intelligent Automation (IA). It basically enhances the quality of development and improves the product’s quality by testing machine-generated use cases automatically before the immediate release.  

Intelligent Automation automates most of the core business processes, such as discovery, optimization, and analysis of products and offerings.  

NLP and Conversational AI 

RPA focuses on a plethora of technologies that include all the significant highlights of the modern-day world, including computer vision, interaction, and language processing. The improvement of conversational AI in natural language processing using intelligent automation.  

With proper machine learning, IA carries out all the repetitive tasks in the language processing algorithm all by itself, opening a wide range of opportunities for developers to easily implement language processing. Intelligent automation aligns with replacing traditional customer support resources with efficient robots, improving the customer experience and workforce analytics.  

Where Programmers Force Steps In 

Robotic Process Automation packs a lot of potential for the future. It aims to transform the existing business landscape by providing automated solutions at low cost. 

Programmers Force smart DevOps approach shifts low-value work to high-performing operations. The rapid implementation of the most common IT solutions using RPA practices increases organisational capacity, improving employee engagement and value.  

Using the RPA-integrated development approach, firms can improve the standardisation of their core business operations, reducing process cycle times and increasing measurability and transparency.