Report Overview
The global hyper automation market is projected to expand at a 15.27% CAGR, increasing from USD 57.8 billion in 2025 to USD 117.6 billion by 2030.
Highlights:
- 1Organizations are rapidly adopting hyperautomation to enhance operational speed and efficiency.
- 2Small and medium enterprises are increasingly implementing automation technologies for cost reduction and revenue growth.
- 3Businesses are integrating RPA and AI solutions to streamline complex processes across various sectors.
- 4Developing regions are accelerating digitalization efforts through wider internet access and technological investments.
The prime reason that is forecasted to drive the market growth during the forecast period is surging digitalization and automation for speedier, effective, and better operations. The rise in automation and technological development has significantly increased the demand for hyper-automation for better operation. Installation of hyper-automation technology helps the organization to improve efficiency, reduce cost, and increase revenue. Increased automation across small and medium enterprises accompanied by rising investment and innovation in the industry is expected to provide the robust potential for the market during the forecast period. Moreover, increasing internet penetration, especially in developing countries, is projected to drive lucrative growth in the market. However, high initial cost accompanied by the requirement for technical know-how is expected to constrain the market growth.
Hyperautomation Market Segmentation Analysis:
Robotic Process Automation or RPA is expected to dominate the market of Hyper Automation during the forecast period.
Based on technology type, the hyper-automation market is segmented into robotics process automation, artificial intelligence, machine learning, biometrics, chatbots, natural language generation, and others. The market for robotic process automation is expected to dominate the market for hyper-automation, growing at a CAGR of 31.5% (Source: Knowledge Sourcing Intelligence), owing to increasing cloud system and service adoption in small and medium-scale enterprises. Robust demand anticipated to be created by the BFSI sector for the RPA technology is expected to support the segment growth.
Hyperautomation Market Growth Factor:
Growth of digitalization and automation in small and medium scale enterprises.
One of the prime reasons which are projected to drive the market for hyper-automation during the forecast period is the growth in the adoption of automation in the small and medium-scale enterprises, which constitute around 90% of global business (Source: World Bank).
Hyperautomation Market Restraint:
High initial cost and limited workforce
Major factors which are expected to constrain the market growth are high initial cost and limited workforce. Installation and operation of hyper-automation technology require a highly skilled and specialized workforce.
Hyperautomation Market Geographical Outlook:
Geographically, the Hyper Automation market is divided into North America, South America, Europe, the Middle East, Africa, and the Asia Pacific regions for the study. The Asia Pacific hyper-automation market is expected to grow at the fastest rate during the forecast period owing to the surging adoption of the technology across several industry verticals. An increase in internet penetration is also expected to play a crucial role in regional market growth. Data from World Bank shows that the population accessing the internet in the South Asia region increased from 15.408% in 2016 to 35.331% in 2019. Whereas in East Asia and the Pacific region, the population able to access the internet surged to 65.017% in 2019, up from 53.769% in 2016. Growth in internet penetration accompanied by a rise in automation is expected to drive the market in the region.
Hyperautomation Market Scope
| Report Metric | Details |
|---|---|
| Total Market Size in 2025 | USD 57.8 billion |
| Total Market Size in 2030 | USD 117.6 billion |
| Forecast Unit | Billion |
| Growth Rate | 15.27% |
| Study Period | 2020 to 2030 |
| Historical Data | 2020 to 2023 |
| Base Year | 2024 |
| Forecast Period | 2025 β 2030 |
| Segmentation | Technology Type, End-Users, Geography |
| Geographical Segmentation | North America, South America, Europe, Middle East and Africa, Asia Pacific |
| Companies |
|
Market Segmentation
By Technology Type
By End-users
By Geography
Table of Contents
1. EXECUTIVE SUMMARY
2. MARKET SNAPSHOT
2.1. Market Overview
2.2. Market Definition
2.3. Scope of the Study
2.4. Market Segmentation
3. BUSINESS LANDSCAPE
3.1. Market Drivers
3.2. Market Restraints
3.3. Market Opportunities
3.4. Porter’s Five Forces Analysis
3.5. Industry Value Chain Analysis
3.6. Policies and Regulations
3.7. Strategic Recommendations
4. TECHNOLOGICAL OUTLOOK
5. GLOBAL HYPERAUTOMATION MARKET BY TECHNOLOGY TYPE
5.1. Introduction
5.2. Robotic Process Automation (RPA)
5.3. Artificial Intelligence (AI)
5.4. Machine Learning (ML)
5.5. Biometrics
5.6. Chatbots
5.7. Natural Language Generation (NLG)
5.8. Others
6. GLOBAL HYPERAUTOMATION MARKET BY END-USERS
6.1. Introduction
6.2. BFSI
6.3. Pharma & Healthcare
6.4. Retail & Consumer Goods
6.5. Information Technology & Telecom
6.6. Communication, Media & Education
6.7. Manufacturing
6.8. Logistics, Energy & Utilities
6.9. Others
7. GLOBAL HYPERAUTOMATION MARKET BY GEOGRAPHY
7.1. Introduction
7.2. North America
7.2.1. USA
7.2.2. Canada
7.2.3. Mexico
7.3. South America
7.3.1. Brazil
7.3.2. Argentina
7.3.3. Others
7.4. Europe
7.4.1. Germany
7.4.2. France
7.4.3. United Kingdom
7.4.4. Spain
7.4.5. Others
7.5. Middle East and Africa
7.5.1. Saudi Arabia
7.5.2. UAE
7.5.3. Others
7.6. Asia Pacific
7.6.1. China
7.6.2. India
7.6.3. Japan
7.6.4. South Korea
7.6.5. Indonesia
7.6.6. Thailand
7.6.7. Others
8. COMPETITIVE ENVIRONMENT AND ANALYSIS
8.1. Major Players and Strategy Analysis
8.2. Market Share Analysis
8.3. Mergers, Acquisitions, Agreements, and Collaborations
8.4. Competitive Dashboard
9. COMPANY PROFILES
9.1. UiPath
9.2. Automation Anywhere Inc.
9.3. NICE
9.4. Blue Prism
9.5. Pegasystems
9.6. KOFAX INC.
9.7. NTT Advanced Technology Corporation
9.8. EdgeVerve Systems Limited
9.9. FPT Software
9.10. OnviSource, Inc.
9.11. HelpSystems
9.12. Mitsubishi Electric Corporation
9.13. OneGlobe LLC
9.14. Wipro
9.15. Tata Consultancy Services Limited
10. APPENDIX
10.1. Currency
10.2. Assumptions
10.3. Base and Forecast Years Timeline
10.4. Key benefits for the stakeholders
10.5. Research Methodology
10.6. Abbreviations
LIST OF FIGURES
LIST OF TABLES
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