The global Hyperautomation market is expected to reach USD 22.84 Billion by 2027, according to a new report by Emergen Research. The hyperautomation market is experiencing a rapid growth attributable to the use of technologies comprising robotic process automation (RPA), artificial learning (AI), machine learning (ML), biometrics, and Chatbots, among others, in various industry verticals including BFSI, retail, manufacturing, automotive, and healthcare, among others. Hyperautomation delivers various advantages as compared to other automation types comprising rapid automation of processes, improved workforce motivation, and satisfaction, assignment of employees to other critical tasks, implementation of advanced analytics, enhancement in insights’ precision, risk reduction, better compliance, increased productivity, and improved collaboration at workplace.
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Key Highlights From The Report
- By technology, natural language generation (NLG) is likely to grow at significant rate in the forecast period. NLG assists computers in transforming structured data into text information in a language understandable by humans. NLG platform provides dedicated solutions for end-users such as BFSI, manufacturing, and healthcare, among others, scalable and rapidly deployable at a lower cost of implementation.
- By industry vertical, BFSI, in terms of market size, held the largest hyperautomation market share in 2019. BFSI industry possesses a huge prospective for the application of hyperautomation. A few benefits offered by hyperautomation comprise marketing, sales & distribution, regulatory reporting, bank servicing, payment processing, lending operations, enterprise support, back-office operations, and others.
- Key participants include UiPath, SolveXia, Appian, Mitsubishi Electric Corporation, Automation Anywhere Inc., Allerin Tech Pvt. Ltd., OneGlobe LLC, Wipro Limited, Tata Consultancy Services Ltd., and Catalytic Inc., among others.
Emergen Research has segmented the global Hyperautomation market on the basis of technology, industry verticals, and region:
- Technology Outlook (Revenue, USD Billion; 2017-2027)
- Robotic Process Automation (RPA)
- Artificial Intelligence (AI)
- Machine Learning (ML)
- Natural Language Generation (NLG)
- Industry Verticals Outlook (Revenue, USD Billion; 2017-2027)
North America (U.S., Canada)
Europe (U.K., Italy, Germany, France, Rest of EU)
Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)
Latin America (Chile, Brazil, Argentina, Rest of Latin America)
Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)
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Key Factors influencing market remuneration:
- The global Hyperautomation market report includes a detailed study of the product spectrum of the market and further describes the different product types, including One-sided, Two-sided, and Others.
- The report zeroes in on the overall market dynamics and presents information with regard to the producers and distributors, manufacturing cost structure, and downstream buyers.
- Details pertaining to the expected growth rate, industry share, revenue accumulated, and product segmentationare depicted in this report.
- The application landscape of the global Hyperautomation market can be categorized into For Human, For Animals, and Others.
- The study further examines the industry share and product demand of each application, coupled withthe predicted growth patterns of the various application segments.
- Other vital factors, such as market concentration ratioand raw material processing rate, have also been covered under the latest study.
Table of Content
Chapter 1. Methodology & Sources
1.1. Market Definition
1.2. Research Scope
1.4. Research Sources
1.4.3. Paid Sources
1.5. Market Estimation Technique
Chapter 2. Executive Summary
2.1. Summary Snapshot, 2019-2027
Chapter 3. Key Insights
Chapter 4. Hyperautomation Market Segmentation & Impact Analysis
4.1. Hyperautomation Market Material Segmentation Analysis
4.2. Industrial Outlook
4.2.1. Market indicators analysis
4.2.2. Market drivers analysis
18.104.22.168. Growing automation trend in the manufacturing sector
22.214.171.124. Technological advancements
126.96.36.199. Greater productivity and better collaboration at workplace
4.2.3. Market restraints analysis
188.8.131.52. Cost-prohibitive capital requirement
4.3. Technological Insights
4.4. Regulatory Framework
4.5. Porter’s Five Forces Analysis
4.6. Competitive Metric Space Analysis
4.7. Price trend Analysis
4.8. Covid-19 Impact Analysis
Chapter 5. Hyperautomation Market By Technology Insights & Trends, Revenue (USD Million)
5.1. Technology Dynamics & Market Share, 2019 & 2027
5.1.1. Robotic Process Automation (RPA)
5.1.2. Artificial Intelligence (AI)
5.1.3. Machine Learning (ML)
5.1.6. Natural Language Generation (NLG)
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