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 Global Intelligent Process Automation Market report assesses the historical and current data along with a thorough analysis of the market dynamics. The report also sheds light on the significant market growth driving and restraining factors that are anticipated to influence the market growth through the forecast period. The Global Intelligent Process Automation Market studies the market scenario to offer growth projections for the Intelligent Process Automation industry for the forecast period of 2020-2027. The report focuses on potential growth opportunities and limitations the prominent players of the industry might face during the entirety of the forecast timeline. The report pays special heed to the emerging business components, niche sectors, and product launches and brand promotions occurring in the market to help the readers make fruitful investment strategies.

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Competitive Outlook: The leading companies operating in the Intelligent Process Automation market have been enumerated in this report. This section of the report lays emphasis on the geographical reach and production facilities of these companies. To get ahead of their rivals, the leading players are focusing more on offering products at competitive prices, according to our analysts.

Top Companies Operating in the Intelligent Process Automation Market and Profiled in the Report are:

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

Objectives of the Report:

Study of the global Intelligent Process Automation market size by key regions, types, and applications with reference to historical data (2017-2018) and forecast (2020-2027)

Industrial structure analysis of the Intelligent Process Automation market by identification of various sub-segments

Extensive analysis of key market players along with their SWOT analysis

Competitive landscape benchmarking

Analysis of Intelligent Process Automation market based on growth trends, futuristic outlook, and contribution to the total growth of the market

Analysis of drivers, constraints, opportunities, challenges, and risks in the global Intelligent Process Automation market

Comprehensive analysis of competitive developments such as expansions, agreements, new product launches, and other strategic alliances

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Segments Covered in this report are:

 

  • 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
      1. Software Tools
      2. Platforms
    • Service
      1. Consulting Services
      2. Design & Implementation Services
      3. Training Support & Maintenance Services
      4. Managed Services

  • Application Outlook (Revenue, USD Billion; 2019-2032)

    • Business Process Management
    • Content Management
    • Business Intelligence & Analytics
    • Solutions Management
    • Robotic Process Automation
    • Security
    • Others

Regional Analysis:

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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