Growing technological advancements allowing for greater productivity and better collaboration at the workplace is one of the significant factors influencing the market growth.
Vancouver, BC -- (SBWIRE) -- 04/09/2021 -- Market Size – USD 492.1 Million in 2019, Market Growth - CAGR of 18.2%, Market Trends –Growing automation trend in the manufacturing sector
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.
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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.
The hyperautomation market in North America held the second-largest hyperautomation market share in 2019 and is likely to grow at a rate of 17.6% in the forecast period. The presence of eminent RPA, AI, and ML firms in the region, a well-established IT infrastructure, and major banks, among other end-users, are causative of the growth of the market.
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.
Hyperautomation Market Segmentation:
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)
Biometrics
Chatbots
Natural Language Generation (NLG)
Others
Industry Verticals Outlook (Revenue, USD Billion; 2017-2027)
BFSI
Retail
Manufacturing
Healthcare
Others
Key Regions analyzed in the report include:
North America (U.S., Canada)
Europe (U.K., Italy, Germany, France, Rest of EU)
AsiaPacific (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 Objectives of the Hyperautomation Market Report:
Analysis and forecast of the Global Hyperautomation Market by segmentation of the market
Analysis of various macro and micro-economic factors influencing the growth of the market
Extensive SWOT analysis and Porter's Five Forces analysis to offer a detailed view of the competitive landscape
Insights into drivers, restraints, opportunities, limitations, threats, and challenges
Analysis of the key players operating in the industry
Strategic recommendations to the new entrants pertaining to entry-level barriers and to established players for formulating fruitful business plans
Table of Content
Chapter 1. Methodology & Sources
1.1. Market Definition
1.2. Research Scope
1.3. Methodology
1.4. Research Sources
1.4.1. Primary
1.4.2. Secondary
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
4.2.2.1. Growing automation trend in the manufacturing sector
4.2.2.2. Technological advancements
4.2.2.3. Greater productivity and better collaboration at workplace
4.2.3. Market restraints analysis
4.2.3.1. 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)
5.1.4. Biometrics
5.1.5. Chatbots
5.1.6. Natural Language Generation (NLG)
5.1.7. Others
Chapter 6. Hyperautomation Market By Industry Verticals Insights & Trends Revenue (USD Million)
6.1. Industry Verticals Dynamics & Market Share, 2019 & 2027
6.1.1. BFSI
6.1.2. Retail
6.1.3. Manufacturing
6.1.4. Automotive
6.1.5. Healthcare
6.1.6. Others
CONTINUED..!!
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Emergen Research is a market research and consulting company that provides syndicated research reports, customized research reports, and consulting services. Our solutions purely focus on your purpose to locate, target, and analyze consumer behavior shifts across demographics, across industries, and help clients make smarter business decisions. We offer market intelligence studies ensuring relevant and fact-based research across multiple industries, including Healthcare, Touch Points, Chemicals, Types, and Energy. We consistently update our research offerings to ensure our clients are aware of the latest trends existent in the market. Emergen Research has a strong base of experienced analysts from varied areas of expertise. Our industry experience and ability to develop a concrete solution to any research problems provides our clients with the ability to secure an edge over their respective competitors.
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