According to a new report, published by KBV research, The Global AI-Driven Hyperautomation Market size is expected to reach $152.5 billion by 2031, rising at a market growth of 19.7% CAGR during the forecast period.
The Solutions segment is leading the Global AI-Driven Hyperautomation Market by Component in 2023; thereby, achieving a market value of $92.4 billion by 2031. This segment’s dominance is largely driven by the increasing demand for ready-made, scalable automation solutions that seamlessly integrate with existing business processes. Solutions like RPA, AI-driven analytics platforms, and intelligent document processing systems allow businesses to automate complex workflows, increase productivity, and reduce operational costs.
The Small & Medium-Sized Enterprises (SMEs) market is expected to witness a CAGR of 20.5% during (2024 - 2031). Many SMEs are leveraging low-code and no-code platforms integrated with AI-driven automation solutions to minimize the need for specialized skills and reduce time-to-market for implementing automation strategies. Retail, logistics, and financial services SMEs are particularly inclined to adopt AI-driven hyperautomation due to its ability to level the playing field by enabling small businesses to operate with similar efficiencies as larger enterprises.
The Robotic Process Automation (RPA) segment generated the maximum revenue in the Global AI-Driven Hyperautomation Market by Technology in 2023; thereby, achieving a market value of $44.7 billion by 2031. The driving force behind the rapid adoption of RPA is its ability to streamline repetitive, rule-based tasks without human intervention, resulting in significant cost savings and efficiency improvements. With minimal disruption to existing workflows, RPA enables businesses in a variety of sectors to automate routine processes, including data entry, invoice processing, and customer service, due to its scalability and simplicity of implementation.
The Data Analytics & Insights segment is expected to witness a CAGR of 18.6% during (2024 - 2031). The necessity to transform raw data into actionable insights in order to make data-driven decisions is increasing as businesses accumulate immense quantities of data. AI-powered analytics tools enable organizations to analyze large datasets quickly and identify trends, patterns, and opportunities for optimization. This has increased demand for AI-driven data analytics solutions, especially in finance, healthcare, and retail sectors, where real-time decision-making and predictive insights are essential.
Full Report: https://www.kbvresearch.com/ai-driven-hyperautomation-market/
The North America region dominated the Global AI-Driven Hyperautomation Market by Region in 2023; thereby, achieving a market value of $53.0 billion by 2031. The Europe region is poised to grow at a CAGR of 19.3% during (2024 - 2031). Additionally, The Asia Pacific region would capture a CAGR of 20.4% during (2024 - 2031).
By Component
By Enterprise Size
By Technology
By Function
By Geography
Unique Offerings 
