The global Intelligent Process Automation (IPA) market size reached USD 13.42 Billion in 2021 and is expected to register a revenue CAGR of 13.6% during the forecast period, according to the latest analysis by Emergen Research. Rising demand for faster decision-making across the organization is the key factor driving revenue growth of the market.
The report considers COVID-19 as a key contributor of the dynamically altered market scenario. The report covers a comprehensive impact analysis of the global health crisis on the overall growth of the market. Furthermore, the report covers the current and future impact of the COVID-19 crisis on the market and its key segments. The report estimates the impact of this crisis on the current scenario and future prospects and provides a post-COVID market scenario.
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Key companies operating in the Intelligent Process Automation market include:
UiPath, Inc., The International Business Machines Corporation (IBM), Genpact, SAP SE, Cognizant, Capgemini SE, Accenture plc, Happiest Minds, Atos SE, Pegasystems Inc., Tata Consultancy Services, and Wipro Limited
Key market aspects studied in the report:
Market Scope: The report explains the scope of various commercial possibilities in the global Intelligent Process Automation market over the upcoming years. The estimated revenue build-up over the forecast years has been included in the report. The report analyzes the key market segments and sub-segments and provides deep insights into the market to assist readers with the formulation of lucrative strategies for business expansion.
Key Benefits of the Report:
- Comprehensive analysis of the competitive scenario and its changing dynamics
- Analytical data with detailed SWOT analysis and Porter’s Five Forces analysis
- In-depth 8-year analysis of the Global Intelligent Process Automation Market
- Critical understanding of the key market segments
- Comprehensive analysis of the drivers, restraints, trends, and opportunities
- Detailed regional analysis and extensive company profiling
- Extensive assessment of current and emerging trends of the market
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Intelligent Process Automation Market Segmentation:
-
Technology Outlook (Revenue, USD Billion; 2019-2032)
- Natural Language Processing
- Machine & Deep Learning
- Neural Networks
- Mini Bots and RPA
- Computer Vision
- Virtual Agents
- Others
-
Component Outlook (Revenue, USD Billion; 2019-2032)
- Solution
- Software Tools
- Platforms
- Service
- Consulting Services
- Design & Implementation Services
- Training Support & Maintenance Services
- Managed Services
- Solution
-
Application Outlook (Revenue, USD Billion; 2019-2032)
- Business Process Management
- Content Management
- Business Intelligence & Analytics
- Solutions Management
- Robotic Process Automation
- Security
- Others
Intelligent Process Automation Market Segmentation by Regions:
- 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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About Emergen Research
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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