The Rise of Hyperautomation
Automation has evolved beyond simply performing repetitive tasks. We have entered the era of Hyperautomation, a comprehensive strategy that aims to identify and automate all possible business processes using a coherent set of technologies. This approach no longer relies on a single tool (such as RPA), but orchestrates Artificial Intelligence (AI), Machine Learning (ML), Business Process Management (BPM), and low-code/no-code tools. The goal is to create end-to-end automation ecosystems capable of making complex decisions and adapting in real time to changes in data and context. This fundamentally transforms the operational efficiency of businesses, propelling them towards unprecedented agility and scalability.
Explosive Market Growth
The Intelligent Process Automation (IPA) market is experiencing massive and rapid adoption. Valued at over $15 billion in 2024, it is projected to reach nearly $49 billion by 2034, posting an impressive Compound Annual Growth Rate (CAGR) of 14.3%. This growth is primarily driven by the need for businesses to accelerate their digital transformation and respond to efficiency pressures. The successful integration of AI and machine learning into workflows is a key factor in this expansion. This market dynamic positions hyperautomation not as an option, but as a strategic imperative for organisations seeking to reduce their operational costs (by up to 25% by 2025 for leaders) while improving their productivity.
The Positive Impact on People and Employment
Contrary to initial fears, full automation is increasingly aimed at augmenting human capabilities rather than replacing them. By taking on transactional, repetitive and error-prone tasks, it frees employees up for assignments that require creativity, strategy, interpersonal judgement and complex analysis. Statistics show that automation is expected to create a net gain of 78 million jobs worldwide by 2030, as new roles emerge to manage and optimise these systems. In addition, team satisfaction and morale improve significantly (for example, HR satisfaction rates rise from 72% to 95% after automation) by eliminating the stress associated with tedious and time-consuming chores.
The Central Role of Artificial Intelligence
AI is the ‘power multiplier’ of automation in 2025. Its integration, particularly through generative AI models such as GPT-4, makes it possible to automate tasks that previously required contextual understanding and human judgement. Examples include automated analysis report writing, personalised marketing content generation, and sophisticated customer relationship management via intelligent virtual assistants. AI also enables predictive analytics and proactive anomaly detection, transforming automation from a simple execution tool into a driver of continuous optimisation. It raises the bar for automated processes, making them more flexible, scalable, and ‘intelligent’ for increased efficiency.
Democratisation through Low-Code/No-Code
A major change is the democratisation of automation via low-code and no-code platforms. Tools such as Microsoft Power Automate now enable business users without advanced programming skills to create and manage their own automated workflows. This accessibility significantly reduces development time and costs and increases business agility. By empowering teams at the source of their needs, this approach accelerates the adoption of automation across the organisation. It turns every employee into a potential ‘citizen developer,’ enabling them to optimise their daily tasks and free up IT resources for projects with greater strategic value.
Sectoral Applications of Intelligent Automation
The adoption of intelligent automation is cross-cutting, but some sectors are making spectacular progress. In finance, up to 80% of transactional accounting tasks can be automated, saving hundreds of hours per year. The logistics sector uses the Internet of Things (IoT) and AI for supply chain optimisation and predictive maintenance. In IT & Operations, 90% of teams say that automation has improved efficiency and cross-departmental collaboration. In marketing, campaign automation and social media publishing are already the norm. Hyperautomation is therefore a proven efficiency lever in virtually every department, from sales to human resources.