Hyperautomation Statistics By Industries, Market, Revenue And Facts (2025)

Introduction

Hyperautomation Statistics: Hyperautomation is an advanced form of automation that solves several complex business functions and processes. It includes modern technologies like Robotic Process Automation (RPA), Machine Learning (ML), Artificial Intelligence (AI), and Natural Language Generation (NLG). By implementing these advanced tools and hyperautomation technology, global organisations can achieve smarter decision-making, enhanced operational efficiency, and significant cost savings.

The world is transforming digitally, and hyper-automation is crucial in popular industrial sectors such as finance, healthcare, and manufacturing to streamline their overall operations. This article includes several effective statistical analyses from different insights of recent years that will help you better understand the topic.

Editor’s Choice

• According to Precedence Research’s analysis, the global hyper-automation market reached USD 56.11 billion in 2024 and is estimated to reach USD 65.67 billion by 2025.
• The compound annual growth rate of the market will grow by 17.04% from 2024 to 2034.
• Meanwhile, in the United States, the hyperautomation market will make up USD 16.55 billion by 2025.
• WonderBotz further reported that companies using hyperautomation have reduced operational costs by 30% in 2024.
• Meanwhile, the overall market of hyperautomation will quadruple by 2027.
• StartUs Insights further elaborates that more than 1,720+ startups are investing in hyper-automation.
• The overall hyper-automation market will experience an annual growth rate of 12.67%.
• This industry currently employs more than 700k individuals globally.
• As of 2025, the market has secured more than 910+ patents and 280+ grants.
• The leading patent issuers of the hyperautomation market are the United States and China, with a growth rate of 41.98%.
• The average investment valuation of the hyperautomation industry exceeds USD 19 million per funding round.
• Evince Development’s report states that 34% of global organisations have adopted hyperautomation to enhance effective employee productivity.

General Hyperautomation Market Statistics

(Reference: precedenceresearch.com)

• The above graph estimates that by 2025, the global market valuation of hyperautomation will reach USD 65.67 billion.
• Followed by USD 76.86 billion (2026), USD 89.96 billion (2027), USD 105.28 billion (2028), USD 123.23 billion (2029), USD 144.22 billion (2030), USD 168.80 billion (2031), USD 197.56 billion (2032), USD 232.23 billion (2033), and USD 270.63 billion (2034).

(Reference: precedenceresearch.com)

• In the United States, the hyper-automation market will be worth USD 16.55 billion as of 2025 and is estimated to reach around USD 69.64 billion by the end of 2034.
• The market’s growth rate is expected to grow at a CAGR of 17.28% from 2024 to 2034.
• From 2025 to 2027, the Asia Pacific hyperautomation will reach a CAGR of 16.9%.
• In 2023, the North American region captured the highest hyper-automation market share of 36%, followed by Europe (31%), Asia Pacific (27%), Latin America (4%), and the Middle East and Africa (2%).
• Based on Deployment, the on-premise hyperautomation market has accounted for 52%, and cloud deployment secures 48%.
• An IBM Institute for Business Value study estimated that approximately 90% of companies are now scaling hyper-automation to create higher work value for employees.
• McKinsey further reported that almost 2.6 trillion work hours are automated in the United States.

Hyperautomation Industry Usage Statistics

(Source: information.com)

By Healthcare

• A Reuters report states that in India, Apollo Hospitals is the largest healthcare chain, allocating around 3.5% of its budget to artificial intelligence tools.
• Thus, due to hyperautomation, healthcare professionals have almost 2 to 3 hours daily.
• Hyperautomation allows for improving diagnostic accuracy and treatment efficiency.
• Based on the survey of AI Multiple Research, the global value of robotic process automation is estimated to reach USD 18.18 billion in 2024 and USD 64.47 billion by the end of 2032.
• According to Autonom8 reports, Telemedicine has improved overall healthcare services by 60%, especially in remote areas.
• The Deloitte report also stated that AI-powered drug discovery has reduced a drug’s development time and cost by 50%.
• Similarly, electronic health records (EHRS) include both RPA and ML, which allow for reducing errors and improving patient safety by 50%.
• A journal of digital imaging study has claimed that AI algorithms increased the accuracy of diagnostics by 90% due to hyper-automation.

By Manufacturing

• Recent studies by Tres Astronautas show that manufacturing companies using hyperautomation have increased productivity by 30%.
• Similarly, hyperautomation reduced the operational costs by 25%.
• Several factors contribute to adopting hyper-automation in the manufacturing industry, including improved efficiency, enhanced quality control, cost reduction, increased productivity, flexibility, and scalability.
• The Deloitte report further states that hyperautomation increases machine uptime by 10% to 20%.

By Banking and Finance

• According to Citi’s reports, adopting hyper-automation has increased banking sector profits by USD 170 billion.
• A survey of 90 financial institutions on using hyper-automation in the banking sector revealed that 93% are optimistic about AI’s benefits.
• AIMultiple further shows that 80% of finance leaders plan to implement RPA.
• Banks that are implementing hyperautomation will be able to reduce their operational costs by 20 to 30%.
• AI-powered chatbots help bank customers connect 24/7 in any emergency.

(Source: ciklum.com)

• Due to hyperautomation, almost 54% of banking sector jobs are expected to be automated.

By Law

• According to Wikipedia reports, in the United States, due to hyper-automation, almost 22% to 35% of legal layer tasks have become automated in recent years.
• The Deloitte report estimated that approximately 110,000 law jobs in the UK will be automated in the coming 20 years.
• A LawSites survey shows that legal professionals’ adoption of AI increased from 19% in 2023 to 79% in 2024.
• In recent years, 70% of clients have preferred legal firms implementing hyperautomation.
• As per the Secretariat reports of 2025, almost 74% of legal professionals are expected to use AI tools by mid-2026.
• Around 34% of law assistants use generative AI within their practice, and 17.5% actively use it to analyse live cases.
• Based on Precedence Research, almost 83% of corporate legal departments adopt AI due to increasing demands.

By Education

• According to FPT Software’s reports on hyper-automation Statistics, educational institutions claimed that their application volume increased by 250% after utilising robotic process automation (RPA).
• Around 193 countries implement artificial intelligence in their educational platforms; thus, hyper-automation has secured 72% of user growth in developing nations.
• Hyperautomation has reduced educators’ workload by 3.7 hours per week.
• According to Number Analytics, Educational institutions implementing AI learning experience a 27% reduction in per-student instructional costs over three years.
• Due to hyper-automation, the cost of delivering personalised learning has been eliminated by 64%.

By Telecom

• Almost 70% of telecom companies have been testing generative AI in implementing hyperautomation in recent years.
• Medium Analytics stated that the global challenge is that these industries are facing huge data consumption.
• In 2022, the global consumption of AI-based telecom networks was 3.4 million petabytes, estimated to reach 9.7 million petabytes.
• Hyperautomations’ main applications in the Telecom sector are network management, customer service, billing and revenue assurance.

Hyperautomation Statistics by Top 5 Companies’ Revenue Share, 2024

Company Integrating AI and ML in the Hyperautomation Market

• According to Research Nester’s reports, Siemens used AI digital twins for product simulation and design, reducing the overall development time by 30.5%.
• Honeywell installed ML models for predictive maintenance within smart building systems, lowering equipment downtime by 24.5%.
• IBM uses AI-driven supply chain optimisation and ML analytics, which have decreased operational costs by 8%.

5G Use Case in Hyperautomation Statistics by Company

Top 5 Tools Used in Hyperautomation

Hyperautomation Statistics by Investors

• According to StartUs Insights, in 2025, hyperautomation market investors, including Y Combinator, Florida Funders, 500 Global, Index Ventures, Techstars, Sequoia Capital, and others, collectively invested more than USD 178.2 million.

The table below represents the detailed investment analysis of the hyperautomation market:

Hyperautomation Market Statistics by Technological Innovations

Benefits and Challenges of Hyperautomation

Conclusion

After completing the article, it is clear that the hyper-automation market has been growing rapidly for years, as advanced technologies play a huge role in global business operations. Hyperautomation is still in its early stages of development in many industries. It includes several advantages and disadvantages within itself, but beyond many challenges, hyper-automation plays an important role for organisations that aim to innovate and thrive. However, to implement hyper-automation properly, it goes through many steps, including planning, strategies, and identifying effective tools.