by The global hyperautomation market size was estimated to be around US$ 40.96 billion in 2022. It is projected to reach US$ 197.58 billion by 2032, indicating a CAGR of 17.04% from 2023 to 2032.
Key Takeaways:
- North America dominated the market with the largest market share of 36% in 2022.
- Asia Pacific is expected to expand at the fastest CAGR throughout the projected period.
- By component, the hardware segment dominated the market in 2022. While the software segment is estimated to witness the fastest growth rate during the forecast period.
- By deployment, the cloud deployment segment dominated the market and captured more than 52% in 2022.
- By technology, the robotics process automation segment dominated the market with the largest market share in 2022.
- By function, the marketing and sales function segment is projected to grow at the fastest rate during the forecast period.
- By enterprise, the large enterprise segment dominated the market with the highest market share in 2022.
- By end-user, the IT and Telecommunication segment dominated the market in 2022. The retail segment is expected to register significant growth during the forecast period.
The market research report on the Hyperautomation market provides a comprehensive analysis of various key aspects. It includes the definition, classification, and application of Hyperautomation products. The report examines the development trends, competitive landscape, and industrial chain structure within the industry. Furthermore, it presents an overview of the industry, analyzes national policies and planning, and offers insights into the latest market dynamics and opportunities at a global level.
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Hyperautomation Market Report Scope
| Report Coverage | Details |
| Market Size in 2023 | USD 47.94 Billion |
| Market Size by 2032 | USD 197.58 Billion |
| Growth Rate from 2023 to 2032 | CAGR of 17.04% |
| Largest Market | North America |
| Fastest Growing Market | Asia Pacific |
| Base Year | 2022 |
| Forecast Period | 2023 To 2032 |
| Segments Covered | By Component, By Deployment, By Technology, By Function, By Enterprise, and By End Use |
| Regions Covered | North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa |
Read More: Artificial Intelligence in Marketing Market Size to Garner USD 145.42 Billion by 2032
The report presents the volume and value-based market size for the base year 2022 and forecasts the market’s growth between 2023 and 2032. It estimates market numbers based on product form and application, providing size and forecast for each application segment in both global and regional markets.
Focusing on the global Hyperautomation market, the report highlights its status, future forecasts, growth opportunities, key market players, and key market regions such as the United States, Europe, and China. The study aims to present the development of the Hyperautomation market by considering factors like Year-on-Year (Y-o-Y) growth, in addition to Compound Annual Growth Rate (CAGR). This approach enables a better understanding of market certainty and the identification of lucrative opportunities.
Regarding production, the report investigates the capacity, production, value, ex-factory price, growth rate, and market share of major manufacturers, regions, and product types. On the consumption side, the report focuses on the regional consumption of Hyperautomation products across different countries and applications.
Buyers of the report gain access to verified market figures, including global market size in terms of revenue and volume. The report provides reliable estimations and calculations for global revenue and volume by product type from 2023 to 2032. It also includes accurate figures for production capacity and production by region during the same period.
The research includes product parameters, production processes, cost structures, and data classified by region, technology, and application. Furthermore, it conducts SWOT analysis and investment feasibility studies for new projects.
This in-depth research report offers valuable insights into the Hyperautomation market. It employs an objective and fair approach to analyze industry trends, supporting customer competition analysis, development planning, and investment decision-making. The project received support and assistance from technicians and marketing personnel across various links in the industry chain.
The competitive landscape section of the report provides detailed information on Hyperautomation market competitors. It includes company overviews, financials, revenue generation, market potential, research and development investments, new market initiatives, global presence, production sites, production capacities, strengths and weaknesses, product launches, product range, and application dominance. However, the data points provided only focus on the companies’ activities related to the Hyperautomation market.
Prominent players in the market are expected to face tough competition from new entrants. Key players are targeting acquisitions of startup companies to maintain their dominance. The report
Reasons to Purchase this Report:
- Comprehensive market segmentation analysis incorporating qualitative and quantitative research, considering the impact of economic and policy factors.
- In-depth regional and country-level analysis, examining the demand and supply dynamics that influence market growth.
- Market size in USD million and volume in million units provided for each segment and sub-segment.
- Detailed competitive landscape, including market share of major players, recent projects, and strategies implemented over the past five years.
- Comprehensive company profiles encompassing product offerings, key financial information, recent developments, SWOT analysis, and employed strategies by major market players.
Key Players
- Wipro Ltd.
- Tata Consultancy Services Ltd.
- Mitsubishi Electric Corporation
- UiPath
- OneGlobe LLC
- SolveXia
- Appian
- Automation Anywhere Inc.
- Allerin Tech Pvt. Ltd.
- PagerDuty, Inc.
- Honeywell International Inc.
Hyperautomation Market Segmentations
By Component
- Hardware
- Software
- Services
By Deployment
- On-premise
- Cloud
By Technology
- Robotic Process Automation (RPA)
- Machine Learning (ML)
- Biometrics
- Chatbots
- Context-Aware Computing
- Natural Language Generation (NLG)
- Computer Vision
By Function
- Marketing & Sales
- Finance & Accounting
- Human Resources (HR)
- Operations & Supply Chain
- Information Technology (IT)
By Enterprise
- Large-size Enterprises
- Small & Medium-size Enterprises (SMEs)
By End Use
- Manufacturing
- Automotive
- BFSI
- Healthcare
- IT & Telecommunication
- Retail
- Transportation & Logistics
- Others
By Geography
- North America
- Europe
- Asia-Pacific
- Latin America
- Middle East and Africa
TABLE OF CONTENT
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology (Premium Insights)
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. COVID 19 Impact on Hyperautomation Market
5.1. COVID-19 Landscape: Hyperautomation Industry Impact
5.2. COVID 19 – Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
Chapter 6. Market Dynamics Analysis and Trends
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
Chapter 7. Competitive Landscape
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
Chapter 8. Global Hyperautomation Market, By Component
8.1. Hyperautomation Market, by Component, 2023-2032
8.1.1. Hardware
8.1.1.1. Market Revenue and Forecast (2020-2032)
8.1.2. Software
8.1.2.1. Market Revenue and Forecast (2020-2032)
8.1.3. Services
8.1.3.1. Market Revenue and Forecast (2020-2032)
Chapter 9. Global Hyperautomation Market, By Deployment
9.1. Hyperautomation Market, by Deployment, 2023-2032
9.1.1. On-premise
9.1.1.1. Market Revenue and Forecast (2020-2032)
9.1.2. Cloud
9.1.2.1. Market Revenue and Forecast (2020-2032)
Chapter 10. Global Hyperautomation Market, By Technology
10.1. Hyperautomation Market, by Technology, 2023-2032
10.1.1. Robotic Process Automation (RPA)
10.1.1.1. Market Revenue and Forecast (2020-2032)
10.1.2. Machine Learning (ML)
10.1.2.1. Market Revenue and Forecast (2020-2032)
10.1.3. Biometrics
10.1.3.1. Market Revenue and Forecast (2020-2032)
10.1.4. Chatbots
10.1.4.1. Market Revenue and Forecast (2020-2032)
10.1.5. Context-Aware Computing
10.1.5.1. Market Revenue and Forecast (2020-2032)
10.1.6. Natural Language Generation (NLG)
10.1.6.1. Market Revenue and Forecast (2020-2032)
10.1.7. Computer Vision
10.1.7.1. Market Revenue and Forecast (2020-2032)
Chapter 11. Global Hyperautomation Market, By Function
11.1. Hyperautomation Market, by Function, 2023-2032
11.1.1. Marketing & Sales
11.1.1.1. Market Revenue and Forecast (2020-2032)
11.1.2. Finance & Accounting
11.1.2.1. Market Revenue and Forecast (2020-2032)
11.1.3. Human Resources (HR)
11.1.3.1. Market Revenue and Forecast (2020-2032)
11.1.4. Operations & Supply Chain
11.1.4.1. Market Revenue and Forecast (2020-2032)
11.1.5. Information Technology (IT)
11.1.5.1. Market Revenue and Forecast (2020-2032)
Chapter 12. Global Hyperautomation Market, By Enterprise
12.1. Hyperautomation Market, by Enterprise, 2023-2032
12.1.1. Large-size Enterprises
12.1.1.1. Market Revenue and Forecast (2020-2032)
12.1.2. Small & Medium-size Enterprises (SMEs)
12.1.2.1. Market Revenue and Forecast (2020-2032)
Chapter 13. Global Hyperautomation Market, By End Use
13.1. Hyperautomation Market, by End Use, 2023-2032
13.1.1. Manufacturing
13.1.1.1. Market Revenue and Forecast (2020-2032)
13.1.2. Automotive
13.1.2.1. Market Revenue and Forecast (2020-2032)
13.1.3. BFSI
13.1.3.1. Market Revenue and Forecast (2020-2032)
13.1.4. Healthcare
13.1.4.1. Market Revenue and Forecast (2020-2032)
13.1.5. IT & Telecommunication
13.1.5.1. Market Revenue and Forecast (2020-2032)
13.1.6. Retail
13.1.6.1. Market Revenue and Forecast (2020-2032)
13.1.7. Transportation & Logistics
13.1.7.1. Market Revenue and Forecast (2020-2032)
13.1.8. Others
13.1.8.1. Market Revenue and Forecast (2020-2032)
Chapter 14. Global Hyperautomation Market, Regional Estimates and Trend Forecast
14.1. North America
14.1.1. Market Revenue and Forecast, by Component (2020-2032)
14.1.2. Market Revenue and Forecast, by Deployment (2020-2032)
14.1.3. Market Revenue and Forecast, by Technology (2020-2032)
14.1.4. Market Revenue and Forecast, by Function (2020-2032)
14.1.5. Market Revenue and Forecast, by Enterprise (2020-2032)
14.1.6. Market Revenue and Forecast, by End Use (2020-2032)
14.1.7. U.S.
14.1.7.1. Market Revenue and Forecast, by Component (2020-2032)
14.1.7.2. Market Revenue and Forecast, by Deployment (2020-2032)
14.1.7.3. Market Revenue and Forecast, by Technology (2020-2032)
14.1.7.4. Market Revenue and Forecast, by Function (2020-2032)
14.1.8. Market Revenue and Forecast, by Enterprise (2020-2032)
14.1.8.1. Market Revenue and Forecast, by End Use (2020-2032)
14.1.9. Rest of North America
14.1.9.1. Market Revenue and Forecast, by Component (2020-2032)
14.1.9.2. Market Revenue and Forecast, by Deployment (2020-2032)
14.1.9.3. Market Revenue and Forecast, by Technology (2020-2032)
14.1.9.4. Market Revenue and Forecast, by Function (2020-2032)
14.1.10. Market Revenue and Forecast, by Enterprise (2020-2032)
14.1.11. Market Revenue and Forecast, by End Use (2020-2032)
14.1.11.1.
14.2. Europe
14.2.1. Market Revenue and Forecast, by Component (2020-2032)
14.2.2. Market Revenue and Forecast, by Deployment (2020-2032)
14.2.3. Market Revenue and Forecast, by Technology (2020-2032)
14.2.4. Market Revenue and Forecast, by Function (2020-2032)
14.2.5. Market Revenue and Forecast, by Enterprise (2020-2032)
14.2.6. Market Revenue and Forecast, by End Use (2020-2032)
14.2.7.
14.2.8. UK
14.2.8.1. Market Revenue and Forecast, by Component (2020-2032)
14.2.8.2. Market Revenue and Forecast, by Deployment (2020-2032)
14.2.8.3. Market Revenue and Forecast, by Technology (2020-2032)
14.2.9. Market Revenue and Forecast, by Function (2020-2032)
14.2.10. Market Revenue and Forecast, by Enterprise (2020-2032)
14.2.10.1. Market Revenue and Forecast, by End Use (2020-2032)
14.2.11. Germany
14.2.11.1. Market Revenue and Forecast, by Component (2020-2032)
14.2.11.2. Market Revenue and Forecast, by Deployment (2020-2032)
14.2.11.3. Market Revenue and Forecast, by Technology (2020-2032)
14.2.12. Market Revenue and Forecast, by Function (2020-2032)
14.2.13. Market Revenue and Forecast, by Enterprise (2020-2032)
14.2.14. Market Revenue and Forecast, by End Use (2020-2032)
14.2.14.1.
14.2.15. France
14.2.15.1. Market Revenue and Forecast, by Component (2020-2032)
14.2.15.2. Market Revenue and Forecast, by Deployment (2020-2032)
14.2.15.3. Market Revenue and Forecast, by Technology (2020-2032)
14.2.15.4. Market Revenue and Forecast, by Function (2020-2032)
14.2.16. Market Revenue and Forecast, by Enterprise (2020-2032)
14.2.16.1. Market Revenue and Forecast, by End Use (2020-2032)
14.2.17. Rest of Europe
14.2.17.1. Market Revenue and Forecast, by Component (2020-2032)
14.2.17.2. Market Revenue and Forecast, by Deployment (2020-2032)
14.2.17.3. Market Revenue and Forecast, by Technology (2020-2032)
14.2.17.4. Market Revenue and Forecast, by Function (2020-2032)
14.2.18. Market Revenue and Forecast, by Enterprise (2020-2032)
14.2.18.1. Market Revenue and Forecast, by End Use (2020-2032)
14.3. APAC
14.3.1. Market Revenue and Forecast, by Component (2020-2032)
14.3.2. Market Revenue and Forecast, by Deployment (2020-2032)
14.3.3. Market Revenue and Forecast, by Technology (2020-2032)
14.3.4. Market Revenue and Forecast, by Function (2020-2032)
14.3.5. Market Revenue and Forecast, by Enterprise (2020-2032)
14.3.6. Market Revenue and Forecast, by End Use (2020-2032)
14.3.7. India
14.3.7.1. Market Revenue and Forecast, by Component (2020-2032)
14.3.7.2. Market Revenue and Forecast, by Deployment (2020-2032)
14.3.7.3. Market Revenue and Forecast, by Technology (2020-2032)
14.3.7.4. Market Revenue and Forecast, by Function (2020-2032)
14.3.8. Market Revenue and Forecast, by Enterprise (2020-2032)
14.3.9. Market Revenue and Forecast, by End Use (2020-2032)
14.3.10. China
14.3.10.1. Market Revenue and Forecast, by Component (2020-2032)
14.3.10.2. Market Revenue and Forecast, by Deployment (2020-2032)
14.3.10.3. Market Revenue and Forecast, by Technology (2020-2032)
14.3.10.4. Market Revenue and Forecast, by Function (2020-2032)
14.3.11. Market Revenue and Forecast, by Enterprise (2020-2032)
14.3.11.1. Market Revenue and Forecast, by End Use (2020-2032)
14.3.12. Japan
14.3.12.1. Market Revenue and Forecast, by Component (2020-2032)
14.3.12.2. Market Revenue and Forecast, by Deployment (2020-2032)
14.3.12.3. Market Revenue and Forecast, by Technology (2020-2032)
14.3.12.4. Market Revenue and Forecast, by Function (2020-2032)
14.3.12.5. Market Revenue and Forecast, by Enterprise (2020-2032)
14.3.12.6. Market Revenue and Forecast, by End Use (2020-2032)
14.3.13. Rest of APAC
14.3.13.1. Market Revenue and Forecast, by Component (2020-2032)
14.3.13.2. Market Revenue and Forecast, by Deployment (2020-2032)
14.3.13.3. Market Revenue and Forecast, by Technology (2020-2032)
14.3.13.4. Market Revenue and Forecast, by Function (2020-2032)
14.3.13.5. Market Revenue and Forecast, by Enterprise (2020-2032)
14.3.13.6. Market Revenue and Forecast, by End Use (2020-2032)
14.4. MEA
14.4.1. Market Revenue and Forecast, by Component (2020-2032)
14.4.2. Market Revenue and Forecast, by Deployment (2020-2032)
14.4.3. Market Revenue and Forecast, by Technology (2020-2032)
14.4.4. Market Revenue and Forecast, by Function (2020-2032)
14.4.5. Market Revenue and Forecast, by Enterprise (2020-2032)
14.4.6. Market Revenue and Forecast, by End Use (2020-2032)
14.4.7. GCC
14.4.7.1. Market Revenue and Forecast, by Component (2020-2032)
14.4.7.2. Market Revenue and Forecast, by Deployment (2020-2032)
14.4.7.3. Market Revenue and Forecast, by Technology (2020-2032)
14.4.7.4. Market Revenue and Forecast, by Function (2020-2032)
14.4.8. Market Revenue and Forecast, by Enterprise (2020-2032)
14.4.9. Market Revenue and Forecast, by End Use (2020-2032)
14.4.10. North Africa
14.4.10.1. Market Revenue and Forecast, by Component (2020-2032)
14.4.10.2. Market Revenue and Forecast, by Deployment (2020-2032)
14.4.10.3. Market Revenue and Forecast, by Technology (2020-2032)
14.4.10.4. Market Revenue and Forecast, by Function (2020-2032)
14.4.11. Market Revenue and Forecast, by Enterprise (2020-2032)
14.4.12. Market Revenue and Forecast, by End Use (2020-2032)
14.4.13. South Africa
14.4.13.1. Market Revenue and Forecast, by Component (2020-2032)
14.4.13.2. Market Revenue and Forecast, by Deployment (2020-2032)
14.4.13.3. Market Revenue and Forecast, by Technology (2020-2032)
14.4.13.4. Market Revenue and Forecast, by Function (2020-2032)
14.4.13.5. Market Revenue and Forecast, by Enterprise (2020-2032)
14.4.13.6. Market Revenue and Forecast, by End Use (2020-2032)
14.4.14. Rest of MEA
14.4.14.1. Market Revenue and Forecast, by Component (2020-2032)
14.4.14.2. Market Revenue and Forecast, by Deployment (2020-2032)
14.4.14.3. Market Revenue and Forecast, by Technology (2020-2032)
14.4.14.4. Market Revenue and Forecast, by Function (2020-2032)
14.4.14.5. Market Revenue and Forecast, by Enterprise (2020-2032)
14.4.14.6. Market Revenue and Forecast, by End Use (2020-2032)
14.5. Latin America
14.5.1. Market Revenue and Forecast, by Component (2020-2032)
14.5.2. Market Revenue and Forecast, by Deployment (2020-2032)
14.5.3. Market Revenue and Forecast, by Technology (2020-2032)
14.5.4. Market Revenue and Forecast, by Function (2020-2032)
14.5.5. Market Revenue and Forecast, by Enterprise (2020-2032)
14.5.6. Market Revenue and Forecast, by End Use (2020-2032)
14.5.7. Brazil
14.5.7.1. Market Revenue and Forecast, by Component (2020-2032)
14.5.7.2. Market Revenue and Forecast, by Deployment (2020-2032)
14.5.7.3. Market Revenue and Forecast, by Technology (2020-2032)
14.5.7.4. Market Revenue and Forecast, by Function (2020-2032)
14.5.8. Market Revenue and Forecast, by Enterprise (2020-2032)
14.5.8.1. Market Revenue and Forecast, by End Use (2020-2032)
14.5.9. Rest of LATAM
14.5.9.1. Market Revenue and Forecast, by Component (2020-2032)
14.5.9.2. Market Revenue and Forecast, by Deployment (2020-2032)
14.5.9.3. Market Revenue and Forecast, by Technology (2020-2032)
14.5.9.4. Market Revenue and Forecast, by Function (2020-2032)
14.5.9.5. Market Revenue and Forecast, by Enterprise (2020-2032)
14.5.9.6. Market Revenue and Forecast, by End Use (2020-2032)
Chapter 15. Company Profiles
15.1. Wipro Ltd.
15.1.1. Company Overview
15.1.2. Product Offerings
15.1.3. Financial Performance
15.1.4. Recent Initiatives
15.2. Tata Consultancy Services Ltd.
15.2.1. Company Overview
15.2.2. Product Offerings
15.2.3. Financial Performance
15.2.4. Recent Initiatives
15.3. Mitsubishi Electric Corporation
15.3.1. Company Overview
15.3.2. Product Offerings
15.3.3. Financial Performance
15.3.4. Recent Initiatives
15.4. UiPath
15.4.1. Company Overview
15.4.2. Product Offerings
15.4.3. Financial Performance
15.4.4. Recent Initiatives
15.5. OneGlobe LLC
15.5.1. Company Overview
15.5.2. Product Offerings
15.5.3. Financial Performance
15.5.4. Recent Initiatives
15.6. SolveXia
15.6.1. Company Overview
15.6.2. Product Offerings
15.6.3. Financial Performance
15.6.4. Recent Initiatives
15.7. Appian
15.7.1. Company Overview
15.7.2. Product Offerings
15.7.3. Financial Performance
15.7.4. Recent Initiatives
15.8. Automation Anywhere Inc.
15.8.1. Company Overview
15.8.2. Product Offerings
15.8.3. Financial Performance
15.8.4. Recent Initiatives
15.9. Allerin Tech Pvt. Ltd.
15.9.1. Company Overview
15.9.2. Product Offerings
15.9.3. Financial Performance
15.9.4. Recent Initiatives
15.10. PagerDuty, Inc.
15.10.1. Company Overview
15.10.2. Product Offerings
15.10.3. Financial Performance
15.10.4. Recent Initiatives
Chapter 16. Research Methodology
16.1. Primary Research
16.2. Secondary Research
16.3. Assumptions
Chapter 17. Appendix
17.1. About Us
17.2. Glossary of Terms
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