The 5 Key RPA Trends To Watch For in 2024
The RPA market is growing exponentially and is expected to reach ~13.4B in 2030, rising from ~2B in 2021. This is increasing the number of RPA use cases across different industries and business functions, fueling new opportunities for novel applications and trends.
In this article, we explore the top RPA trends to watch for in 2024, and how businesses can use these trends in their digital transformation journey.
1. Adopt an RPA Center of Excellence
With more suitable processes for RPA automation in different business functions, including HR, IT, and customer service, businesses are moving towards migrating their RPA functions to a single center of excellence (CoE) to tackle all RPA related tasks.
RPA CoEs can help businesses develop an organization-wide RPA strategy, as well as scale, standardize, and customize their RPA solutions.
2. Integrate RPA with different technologies
3. Turn to RPA-focused MSPs
Due to RPA adoption cost (e.g. 5k-15k per bot/year), and extended time to solution roll-out, businesses are turning to managed service providers (MSPs) which offer RPA as a service to outsource their automation tasks. MSPs can provide businesses with automation capabilities without needing any RPA infrastructure or training, and at reduced prices in the short term.
So far, only 5% of MSPs provide RPA as a Service to their partners. However, it is estimated that RPA will become an embedded feature in many platforms, therefore, we expect more IT-oriented MSPs to provide RPA as one of their main services.
4. Embrace intelligent RPA
There has been an increase in interest in cognitive automation since 2014 (Figure 1). And so far, ~90% of C-level executives report that some level of intelligent automation already exists within their organizations.
Intelligent RPA, also known as cognitive RPA, cognitive automation, semantic automation, or smart process automation (SPA), refers to augmenting RPA tools with AI and machine learning capabilities such as natural language processing (NLP), optical character recognition (OCR), and deep learning. Cognitive RPA enables businesses to automate not only repetitive rule-based tasks but predictions and forecasts based on structured and unstructured data.
Additionally, organizations have reported in a recent Deloitte report that:
- They expect to achieve increased productivity and cost reduction; greater accuracy; and an improved customer experience.
- Cognitive RPA has already exceeded their expectations by 16-26%.
5. Automate cybersecurity measures with RPA
The rise in the number and cost of data breaches, ransomware, and cyber attacks has drawn more attention to cybersecurity technologies. RPA can be a major candidate to automate cybersecurity measures as it eliminates human intervention in privileged data processing, and can monitor and notify users of cyber attack threats. Nonetheless, RPA itself poses a cyber threat as it is prone to attacks and abuse of bot authorizations. Therefore, it is important to follow the best practices of RPA implementation to attain the best results and mitigate cyber threats.
Recommended reading
To explore the RPA market and adoption in numbers, read our data-driven list of RPA stats compiled from reputable sources. And if you want to look at RPA vendors, check our comprehensive article about the top players in the RPA ecosystem.
If you want to explore RPA use cases in different industries and business functions, read our in-depth articles:
- Top 16 RPA Use Cases in IT Services
- Top 7 RPA Uses & Challenges in the Government & Public Sector
- Top 8 Use Cases & Benefits of RPA in Manufacturing
And if you have any questions about RPA, read our comprehensive whitepaper on the topic:
If you believe your business will benefit from an RPA solution, scroll through our data-driven list of RPA vendors and check our comprehensive hub of automation solutions.
And let us guide you through the process:
This article was drafted by former AIMultiple industry analyst Alamira Jouman Hajjar.
Cem has been the principal analyst at AIMultiple since 2017. AIMultiple informs hundreds of thousands of businesses (as per similarWeb) including 60% of Fortune 500 every month.
Cem's work has been cited by leading global publications including Business Insider, Forbes, Washington Post, global firms like Deloitte, HPE, NGOs like World Economic Forum and supranational organizations like European Commission. You can see more reputable companies and media that referenced AIMultiple.
Throughout his career, Cem served as a tech consultant, tech buyer and tech entrepreneur. He advised businesses on their enterprise software, automation, cloud, AI / ML and other technology related decisions at McKinsey & Company and Altman Solon for more than a decade. He also published a McKinsey report on digitalization.
He led technology strategy and procurement of a telco while reporting to the CEO. He has also led commercial growth of deep tech company Hypatos that reached a 7 digit annual recurring revenue and a 9 digit valuation from 0 within 2 years. Cem's work in Hypatos was covered by leading technology publications like TechCrunch and Business Insider.
Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.
To stay up-to-date on B2B tech & accelerate your enterprise:
Follow on
Comments
Your email address will not be published. All fields are required.