In the fast-moving digital economy, businesses are under more and more pressure to innovate, lower costs, and improve customer and employee experiences. This desire for operational excellence is driving the ascent of hyperautomation— an end-to-end strategy for fully automating every process or task in your business using a combination of technologies, including RPA, AI, process mining, and more.

At the heart is the increasing use of low-code/no-code tools (LCNC) that empower non-technical users and accelerate digital transformation in the enterprise. To any hyperautomation services provider, introducing LCNC tools into their service offerings can significantly reduce development cycles, extend automation opportunities, and provide improved ROI.

Let us find out how LCNC tools are changing the hyperautomation game and what it implies for the businesses that are working on their application infrastructure and process automation Investments.

What is Hyperautomation?

Gartner defines hyperautomation as a business-driven, disciplined strategy that companies use to rapidly identify, vet, and automate as many business and IT processes as possible. It’s the artful application of many technologies — RPA, AI/ML, low-code platforms, analytics, and even more still.

The global hyperautomation market size was $43.5 billion in 2024, and it is estimated to reach $235.9 billion by 2037, exhibiting a CAGR of 13.9%. This increase illustrates the worldwide trend of embracing smarter, end-to-end automation solutions that are scalable and resilient.

The Rise of Low-Code/No-Code Tools

Low-code/no-code tools are visual development environments with a drag-and-drop design that allow users to create applications with little or no programming experience. These are democratizing development and enabling “citizen developers” in HR, finance, marketing, and operations to drive and deploy their own digital solutions.

One Gartner report projects that by 2025, 70% of new enterprise applications will be developed on low-code/no-code platforms, compared with less than a quarter in 2020. And this illustrates a fundamental change in the way digital tools are built up and deployed in organizations.

Indeed, the worldwide low-code development platform market size was $26.9 billion in 2023, and it is anticipated to reach $274.0 billion by 2033, at a CAGR of 27.0%. This phenomenal growth is directly fuelling the scalability and accessibility of hyperautomation tactics.

The Role of LCNC in Driving Hyperautomation

1.Speeding Up the Process of Autonomation

Hyperautomation thrives in that it’s about automating complex, cross-functional workflows — something LCNC tools are inherently good at. Business users can now automate work that used to take months of custom coding, using prebuilt connectors, logic blocks, and templates. It simplifies process automation, cuts costs, and increases agility.

With an LCNC, a top hyperautomation services provider can expedite customer onboarding, automate invoice processing, and optimize supply chain workflows in a record time.

2. Democratization of Automation

One of the most revolutionary outcomes of LCNC solutions has been the advent of the citizen developer — a worker without formal IT skills, utilizing drag-and-drop visual interfaces that support the development of applications that are making their lives better. By 2026, 80% of users of #LCNC tools will be non-IT users — Gartner

That opens up the realm of automation beyond IT so that sales managers, HR leaders, finance officers, and others can design automations specific to their use cases, while IT itself maintains visibility and governance.

3. RPA Custom Development Enablement

RPA custom development is becoming increasingly coupled to LCNC tools to expand automation across legacy systems and unique business processes. Developers can create bots that plug into legacy ERPs, CRMs, or mainframes, and business teams can sit at LCNC dashboards to observe and interact with workflows in progress, the company added.

Businesses using RPA in this fashion: 78% plan to spend more on RPA in the third year, and more than half have deployed it already.

The Role of Automation QA Testing in LCNC-Driven Hyperautomation

Quality becomes mission-critical in an increasingly hyperautomated world. The automation QA testing ensures the new automations and apps developed via LCNC platforms are reliable, secure, and scalable.

The automation testing industry is already expected to increase from $35.52 billion in 2024 to $169.33 billion in 2034 as more complex digital ecosystems require more support. Fortunately, QA is hip now, and nowadays you can do the following without writing a single line of code: Scriptless testing, AI-driven test generation, CI/CD stability across frequent iterations.

For these companies using LCNC (Low Code No Code) tools, injecting QA at the development stage is crucial to remain agile without compromising integrity.

Making Intelligent Experiences through AI Chatbot Development Companies

Custom AI chatbot Development is another area where LCNC platforms excel. Even non-technical teams can publish intelligent chatbots on the web, mobile, and enterprise applications using pre-built natural language processing (NLP) models and drag-and-drop conversation builders.

Chatbot Market: Size and Statistics The global market for chatbots will be worth more than $46 billion by 2029, and there will be 987 million active users by 2025, Statista finds. These bots do everything from answering frequently asked questions (FAQs) to processing selling transactions, saving customer service expenditure, and increasing satisfaction.

Integrated chatbot development, for hyperautomation services providers, is a game changer, as complete end-to-end automation starts directly from the user.

Real-World Impact: The Hyperautomation Era is Revolutionising Industries

LCNC, combined with hyper automation, is already driving transformational results for organizations across industries.

For example, a multinational manufacturing company leveraged LCNC to automate the scheduling of maintenance, parts management, and quality inspection to achieve 30% gains in operational efficiency. Likewise, a healthcare company developed an AI triage chatbot on LCNC platforms and slashed patient wait times by 40%.

Challenges and Considerations

Even with the advantages, hyperautomation at scale using LCNC tools is not without its challenges:

1. Governance: LCNC tools can create shadow IT and the duplication of efforts without supervision. A Center of Excellence (CoE) can help in governance and best practices.

2. Security & Compliance: Data security and compliance need to be built into the fabric of every workflow.

3. Complexity of Integration: Integration of LCNC apps with legacy systems may involve the use of APIs or middleware (and this is where the right hyper automation services expert’s guidance would be invaluable).

Future Outlook: Hyperautomation with support of AI and LCNC

LCNC tools are meeting with AI to stretch the limits of what can be achieved in automation. Next-generation LCNC platforms are incorporating machine learning, intelligent document processing, and natural language interfaces to produce truly autonomous systems.

We have entered a world in which bots can process data, drive toward predictions, have conversations, and initiate actions — all without writing a line of code as we traditionally think of it.

While this vision comes to life, those businesses utilizing process automation, automation QA testing, RPA custom development, and Custom AI chatbot Development as part of a cohesive hyperautomation plan will gain a competitive advantage.

Final Thoughts

It’s hyperautomations time to shine, and low-code/no-code tooling is its key driver. Democratizing development, shortening time to market, and ubiquitous AI-powered automation — LCNC platforms are unleashing new levels of productivity.

To properly leverage this opportunity, businesses need to engage with an experienced HyperAutomation services provider – one that complements strong technical credentials with full service capabilities in process automation, automation QA testing, RPA custom development, and bespoke AI chatbot Development.

As the market is predicted to experience massive growth in the next 10 years, it’s time to build a scalable intelligent automation with measurable business results.