
Hyper Automation Market Report and Forecast 2025-2034
Description
The global hyper automation market size reached approximately USD 45.27 Billion in 2024. The market is estimated to grow at a CAGR of 16.50% in the forecast period of 2025-2034, reaching a value of around USD 208.48 Billion by 2034.
Key Trends in the Market
Hyper automation is an approach that involves the usage of multiple technologies or tools such as artificial intelligence (AI), machine learning, business process management, and robotic process automation (RPA), among others, for the automation of business and IT processes in an organisation.
“Hyper Automation Market Report and Forecast 2025-2034” offers a detailed analysis of the market based on the following segments:
Breakup by Component
Large enterprises occupy a sizeable portion of the hyper automation market share owing to the early adoption of the latest technologies by these enterprises. These organisations generally have complex operations and can benefit from advanced tools and technology to improve their business agility and efficiency. The data accessibility and collaboration features of hyper automation tools ease data transfer in large organisations and offer seamless interaction between employees. Additionally, hyper automation can automate routine tasks and allow employees to focus on complex business operations.
Market Share by Region
North America accounts for a significant share of the global market due to the rapid digitalisation and adoption of advanced technologies. Several manufacturers in the region are implementing hyper automation to improve their productivity and reduce operational costs. Furthermore, the robust growth of the automotive sector propels the hyper automation market demand as many automakers are using a hyper-automation approach to lower production costs and manufacturing time. Many market players are also investing in technological advancements such as IoT and robotic automation to gain a competitive advantage.
Competitive Landscape
The comprehensive EMR report provides an in-depth assessment of the market based on the Porter's five forces model along with giving a SWOT analysis. The report gives a detailed analysis of the following key players in the hyper automation market, covering their competitive landscape and latest developments like mergers, acquisitions, investments, and expansion plans.
Appian Corporation
Appian Corporation is a cloud computing and software company, incorporated in 1999 and headquartered in Virginia, the United States. The company aids enterprises in designing, automating, and optimising their business processes.
UiPath
UiPath, founded in 2005, is a software company that manufactures robotic process automation software. The company, based in New York, the United States, offers automation services to the banking and finance, insurance, healthcare, and manufacturing sectors, among others.
Wipro Limited
Wipro Limited, established in 1945, is a multinational technology company that has its headquarters in Bengaluru, India. It provides services such as artificial intelligence, business processes, cloud, and cybersecurity, among others.
Other hyper automation market players include IBM Corporation, Automation Anywhere, Inc., SolveXia Pty Ltd., OneGlobe LLC, Simple Fractal, ElectroNeek Robotics Inc., and Digital Catalyst LLC, among others.
Key Trends in the Market
Hyper automation is an approach that involves the usage of multiple technologies or tools such as artificial intelligence (AI), machine learning, business process management, and robotic process automation (RPA), among others, for the automation of business and IT processes in an organisation.
- The implementation of low-code solutions in hyper automation to enable rapid workflows and enhance the operational efficiency of businesses is one of the crucial hyper automation market trends. Low-code solutions make hyper-automation tools affordable for SMEs and offer large organisations a diverse portfolio of such tools, depending upon the scale of the process.
- The rising trend of process mining in hyper automation to examine a business process thoroughly, determine strategies to enhance its efficiency, and predict its future trends also provides impetus to the hyper automation market growth.
- The market is further being propelled by the commodification of robotic process automation (RPA) and its growing deployment in different sizes of organisations, allowing IT teams to focus on complex tasks and empowering collaboration between business and IT teams to save time and money.
“Hyper Automation Market Report and Forecast 2025-2034” offers a detailed analysis of the market based on the following segments:
Breakup by Component
- Software
- Hardware
- Services
- Finance and Accounting
- Human Resource (HR)
- Marketing and Sales
- Operations and Supply Chain
- Information Technology (IT)
- Biometrics
- Computer Vision
- Chatbots
- Context–Aware Computing
- Machine Learning
- Natural Language Generation (NLG)
- Robotic Process Automation
- Large-Size Enterprises
- Small and Medium-size Enterprises (SMEs)
- Automotive
- BFSI
- Healthcare
- IT and Telecommunication
- Manufacturing
- Retail
- Transportation and Logistics
- Others
- North America
- Europe
- Asia Pacific
- Latin America
- Middle East and Africa
Large enterprises occupy a sizeable portion of the hyper automation market share owing to the early adoption of the latest technologies by these enterprises. These organisations generally have complex operations and can benefit from advanced tools and technology to improve their business agility and efficiency. The data accessibility and collaboration features of hyper automation tools ease data transfer in large organisations and offer seamless interaction between employees. Additionally, hyper automation can automate routine tasks and allow employees to focus on complex business operations.
Market Share by Region
North America accounts for a significant share of the global market due to the rapid digitalisation and adoption of advanced technologies. Several manufacturers in the region are implementing hyper automation to improve their productivity and reduce operational costs. Furthermore, the robust growth of the automotive sector propels the hyper automation market demand as many automakers are using a hyper-automation approach to lower production costs and manufacturing time. Many market players are also investing in technological advancements such as IoT and robotic automation to gain a competitive advantage.
Competitive Landscape
The comprehensive EMR report provides an in-depth assessment of the market based on the Porter's five forces model along with giving a SWOT analysis. The report gives a detailed analysis of the following key players in the hyper automation market, covering their competitive landscape and latest developments like mergers, acquisitions, investments, and expansion plans.
Appian Corporation
Appian Corporation is a cloud computing and software company, incorporated in 1999 and headquartered in Virginia, the United States. The company aids enterprises in designing, automating, and optimising their business processes.
UiPath
UiPath, founded in 2005, is a software company that manufactures robotic process automation software. The company, based in New York, the United States, offers automation services to the banking and finance, insurance, healthcare, and manufacturing sectors, among others.
Wipro Limited
Wipro Limited, established in 1945, is a multinational technology company that has its headquarters in Bengaluru, India. It provides services such as artificial intelligence, business processes, cloud, and cybersecurity, among others.
Other hyper automation market players include IBM Corporation, Automation Anywhere, Inc., SolveXia Pty Ltd., OneGlobe LLC, Simple Fractal, ElectroNeek Robotics Inc., and Digital Catalyst LLC, among others.
Table of Contents
157 Pages
- 1 Executive Summary
- 1.1 Market Size 2024-2025
- 1.2 Market Growth 2025(F)-2034(F)
- 1.3 Key Demand Drivers
- 1.4 Key Players and Competitive Structure
- 1.5 Industry Best Practices
- 1.6 Recent Trends and Developments
- 1.7 Industry Outlook
- 2 Market Overview and Stakeholder Insights
- 2.1 Market Trends
- 2.2 Key Verticals
- 2.3 Key Regions
- 2.4 Supplier Power
- 2.5 Buyer Power
- 2.6 Key Market Opportunities and Risks
- 2.7 Key Initiatives by Stakeholders
- 3 Economic Summary
- 3.1 GDP Outlook
- 3.2 GDP Per Capita Growth
- 3.3 Inflation Trends
- 3.4 Democracy Index
- 3.5 Gross Public Debt Ratios
- 3.6 Balance of Payment (BoP) Position
- 3.7 Population Outlook
- 3.8 Urbanisation Trends
- 4 Country Risk Profiles
- 4.1 Country Risk
- 4.2 Business Climate
- 5 Global Hyper Automation Market Analysis
- 5.1 Key Industry Highlights
- 5.2 Global Hyper Automation Historical Market (2018-2024)
- 5.3 Global Hyper Automation Market Forecast (2025-2034)
- 5.4 Global Hyper Automation Market by Component
- 5.4.1 Software
- 5.4.1.1 Historical Trend (2018-2024)
- 5.4.1.2 Forecast Trend (2025-2034)
- 5.4.2 Hardware
- 5.4.2.1 Historical Trend (2018-2024)
- 5.4.2.2 Forecast Trend (2025-2034)
- 5.4.3 Services
- 5.4.3.1 Historical Trend (2018-2024)
- 5.4.3.2 Forecast Trend (2025-2034)
- 5.5 Global Hyper Automation Market by Function
- 5.5.1 Finance and Accounting
- 5.5.1.1 Historical Trend (2018-2024)
- 5.5.1.2 Forecast Trend (2025-2034)
- 5.5.2 Human Resource (HR)
- 5.5.2.1 Historical Trend (2018-2024)
- 5.5.2.2 Forecast Trend (2025-2034)
- 5.5.3 Marketing and Sales
- 5.5.3.1 Historical Trend (2018-2024)
- 5.5.3.2 Forecast Trend (2025-2034)
- 5.5.4 Operations and Supply Chain
- 5.5.4.1 Historical Trend (2018-2024)
- 5.5.4.2 Forecast Trend (2025-2034)
- 5.5.5 Information Technology (IT)
- 5.5.5.1 Historical Trend (2018-2024)
- 5.5.5.2 Forecast Trend (2025-2034)
- 5.6 Global Hyper Automation Market by Technology
- 5.6.1 Biometrics
- 5.6.1.1 Historical Trend (2018-2024)
- 5.6.1.2 Forecast Trend (2025-2034)
- 5.6.2 Computer Vision
- 5.6.2.1 Historical Trend (2018-2024)
- 5.6.2.2 Forecast Trend (2025-2034)
- 5.6.3 Chatbots
- 5.6.3.1 Historical Trend (2018-2024)
- 5.6.3.2 Forecast Trend (2025-2034)
- 5.6.4 Context–Aware Computing
- 5.6.4.1 Historical Trend (2018-2024)
- 5.6.4.2 Forecast Trend (2025-2034)
- 5.6.5 Machine Learning
- 5.6.5.1 Historical Trend (2018-2024)
- 5.6.5.2 Forecast Trend (2025-2034)
- 5.6.6 Natural Language Generation (NLG)
- 5.6.6.1 Historical Trend (2018-2024)
- 5.6.6.2 Forecast Trend (2025-2034)
- 5.6.7 Robotic Process Automation
- 5.6.7.1 Historical Trend (2018-2024)
- 5.6.7.2 Forecast Trend (2025-2034)
- 5.7 Global Hyper Automation Market by Enterprise Size
- 5.7.1 Large-Size Enterprises
- 5.7.1.1 Historical Trend (2018-2024)
- 5.7.1.2 Forecast Trend (2025-2034)
- 5.7.2 Small and Medium-size Enterprises (SMEs)
- 5.7.2.1 Historical Trend (2018-2024)
- 5.7.2.2 Forecast Trend (2025-2034)
- 5.8 Global Hyper Automation Market by End Use
- 5.8.1 Automotive
- 5.8.1.1 Historical Trend (2018-2024)
- 5.8.1.2 Forecast Trend (2025-2034)
- 5.8.2 BFSI
- 5.8.2.1 Historical Trend (2018-2024)
- 5.8.2.2 Forecast Trend (2025-2034)
- 5.8.3 Healthcare
- 5.8.3.1 Historical Trend (2018-2024)
- 5.8.3.2 Forecast Trend (2025-2034)
- 5.8.4 IT and Telecommunication
- 5.8.4.1 Historical Trend (2018-2024)
- 5.8.4.2 Forecast Trend (2025-2034)
- 5.8.5 Manufacturing
- 5.8.5.1 Historical Trend (2018-2024)
- 5.8.5.2 Forecast Trend (2025-2034)
- 5.8.6 Retail
- 5.8.6.1 Historical Trend (2018-2024)
- 5.8.6.2 Forecast Trend (2025-2034)
- 5.8.7 Transportation and Logistics
- 5.8.7.1 Historical Trend (2018-2024)
- 5.8.7.2 Forecast Trend (2025-2034)
- 5.8.8 Others
- 5.9 Global Hyper Automation Market by Region
- 5.9.1 North America
- 5.9.1.1 Historical Trend (2018-2024)
- 5.9.1.2 Forecast Trend (2025-2034)
- 5.9.2 Europe
- 5.9.2.1 Historical Trend (2018-2024)
- 5.9.2.2 Forecast Trend (2025-2034)
- 5.9.3 Asia Pacific
- 5.9.3.1 Historical Trend (2018-2024)
- 5.9.3.2 Forecast Trend (2025-2034)
- 5.9.4 Latin America
- 5.9.4.1 Historical Trend (2018-2024)
- 5.9.4.2 Forecast Trend (2025-2034)
- 5.9.5 Middle East and Africa
- 5.9.5.1 Historical Trend (2018-2024)
- 5.9.5.2 Forecast Trend (2025-2034)
- 6 North America Hyper Automation Market Analysis
- 6.1 United States of America
- 6.1.1 Historical Trend (2018-2024)
- 6.1.2 Forecast Trend (2025-2034)
- 6.2 Canada
- 6.2.1 Historical Trend (2018-2024)
- 6.2.2 Forecast Trend (2025-2034)
- 7 Europe Hyper Automation Market Analysis
- 7.1 United Kingdom
- 7.1.1 Historical Trend (2018-2024)
- 7.1.2 Forecast Trend (2025-2034)
- 7.2 Germany
- 7.2.1 Historical Trend (2018-2024)
- 7.2.2 Forecast Trend (2025-2034)
- 7.3 France
- 7.3.1 Historical Trend (2018-2024)
- 7.3.2 Forecast Trend (2025-2034)
- 7.4 Italy
- 7.4.1 Historical Trend (2018-2024)
- 7.4.2 Forecast Trend (2025-2034)
- 7.5 Others
- 8 Asia Pacific Hyper Automation Market Analysis
- 8.1 China
- 8.1.1 Historical Trend (2018-2024)
- 8.1.2 Forecast Trend (2025-2034)
- 8.2 Japan
- 8.2.1 Historical Trend (2018-2024)
- 8.2.2 Forecast Trend (2025-2034)
- 8.3 India
- 8.3.1 Historical Trend (2018-2024)
- 8.3.2 Forecast Trend (2025-2034)
- 8.4 ASEAN
- 8.4.1 Historical Trend (2018-2024)
- 8.4.2 Forecast Trend (2025-2034)
- 8.5 Australia
- 8.5.1 Historical Trend (2018-2024)
- 8.5.2 Forecast Trend (2025-2034)
- 8.6 Others
- 9 Latin America Hyper Automation Market Analysis
- 9.1 Brazil
- 9.1.1 Historical Trend (2018-2024)
- 9.1.2 Forecast Trend (2025-2034)
- 9.2 Argentina
- 9.2.1 Historical Trend (2018-2024)
- 9.2.2 Forecast Trend (2025-2034)
- 9.3 Mexico
- 9.3.1 Historical Trend (2018-2024)
- 9.3.2 Forecast Trend (2025-2034)
- 9.4 Others
- 10 Middle East and Africa Hyper Automation Market Analysis
- 10.1 Saudi Arabia
- 10.1.1 Historical Trend (2018-2024)
- 10.1.2 Forecast Trend (2025-2034)
- 10.2 United Arab Emirates
- 10.2.1 Historical Trend (2018-2024)
- 10.2.2 Forecast Trend (2025-2034)
- 10.3 Nigeria
- 10.3.1 Historical Trend (2018-2024)
- 10.3.2 Forecast Trend (2025-2034)
- 10.4 South Africa
- 10.4.1 Historical Trend (2018-2024)
- 10.4.2 Forecast Trend (2025-2034)
- 10.5 Others
- 11 Market Dynamics
- 11.1 SWOT Analysis
- 11.1.1 Strengths
- 11.1.2 Weaknesses
- 11.1.3 Opportunities
- 11.1.4 Threats
- 11.2 Porter’s Five Forces Analysis
- 11.2.1 Supplier’s Power
- 11.2.2 Buyer’s Power
- 11.2.3 Threat of New Entrants
- 11.2.4 Degree of Rivalry
- 11.2.5 Threat of Substitutes
- 11.3 Key Indicators for Demand
- 11.4 Key Indicators for Price
- 12 Competitive Landscape
- 12.1 Supplier Selection
- 12.2 Key Global Players
- 12.3 Key Regional Players
- 12.4 Key Player Strategies
- 12.5 Company Profiles
- 12.5.1 Appian Corporation
- 12.5.1.1 Company Overview
- 12.5.1.2 Product Portfolio
- 12.5.1.3 Demographic Reach and Achievements
- 12.5.1.4 Certifications
- 12.5.2 UiPath
- 12.5.2.1 Company Overview
- 12.5.2.2 Product Portfolio
- 12.5.2.3 Demographic Reach and Achievements
- 12.5.2.4 Certifications
- 12.5.3 Wipro Limited
- 12.5.3.1 Company Overview
- 12.5.3.2 Product Portfolio
- 12.5.3.3 Demographic Reach and Achievements
- 12.5.3.4 Certifications
- 12.5.4 IBM Corporation
- 12.5.4.1 Company Overview
- 12.5.4.2 Product Portfolio
- 12.5.4.3 Demographic Reach and Achievements
- 12.5.4.4 Certifications
- 12.5.5 Automation Anywhere, Inc.
- 12.5.5.1 Company Overview
- 12.5.5.2 Product Portfolio
- 12.5.5.3 Demographic Reach and Achievements
- 12.5.5.4 Certifications
- 12.5.6 SolveXia Pty Ltd.
- 12.5.6.1 Company Overview
- 12.5.6.2 Product Portfolio
- 12.5.6.3 Demographic Reach and Achievements
- 12.5.6.4 Certifications
- 12.5.7 OneGlobe LLC
- 12.5.7.1 Company Overview
- 12.5.7.2 Product Portfolio
- 12.5.7.3 Demographic Reach and Achievements
- 12.5.7.4 Certifications
- 12.5.8 Simple Fractal
- 12.5.8.1 Company Overview
- 12.5.8.2 Product Portfolio
- 12.5.8.3 Demographic Reach and Achievements
- 12.5.8.4 Certifications
- 12.5.9 ElectroNeek Robotics Inc.
- 12.5.9.1 Company Overview
- 12.5.9.2 Product Portfolio
- 12.5.9.3 Demographic Reach and Achievements
- 12.5.9.4 Certifications
- 12.5.10 Digital Catalyst LLC
- 12.5.10.1 Company Overview
- 12.5.10.2 Product Portfolio
- 12.5.10.3 Demographic Reach and Achievements
- 12.5.10.4 Certifications
- 12.5.11 Others
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