Global Intelligent Process Automation Market Size to reach USD XXX Billion by 2027

Global Intelligent Process Automation Market by product Type (Natural Language Processing, Machine and Deep Learning, Neural Network, Virtual Agents, Mini Bots and RPA, Computer Vision, Others) and By Application (Business Process Automation, Application Management, Content Management, Security, Others). Regional Forecasting 2020-2027
Product Code:  IACTIS_26125425
Chapter 1. Executive Summary 
 1.1. Market Snapshot
 1.2. Global & Segmental Market Estimates & Forecasts, 2018-2027 (USD Billion)
 1.2.1. Intelligent Process Automation Market, by Product Type, 2018-2027 (USD Billion)
 1.2.2. Intelligent Process Automation Market, by Application, 2018-2027 (USD Billion)
 1.2.3. Intelligent Process Automation Market, By Region, 2018-2027 (USD Billion)
 1.3. Key Trends
 1.4. Estimation Methodology
 1.5. Research Assumption
 Chapter 2. Global Intelligent Process Automation Market Definition and Scope 
 2.1. Objective of the Study
 2.2. Market Definition & Scope
 2.2.1. Scope of the Study
 2.2.2. Industry Evolution
 2.3. Years Considered for the Study
 2.4. Currency Conversion Rates
 Chapter 3. Global Intelligent Process Automation Market Dynamics 
 3.1. Intelligent Process Automation Market Impact Analysis (2018-2027)
 3.1.1. Market Drivers
 3.1.2. Market Challenges
 3.1.3. Market Opportunities
 Chapter 4. Global Intelligent Process Automation Market: Industry Analysis
 4.1. Porter’s 5 Force Model
 4.1.1. Bargaining Power of Suppliers
 4.1.2. Bargaining Power of Buyers
 4.1.3. Threat of New Entrants
 4.1.4. Threat of Substitutes
 4.1.5. Competitive Rivalry
 4.1.6. Futuristic Approach to Porter’s 5 Force Model (2018-2027)
 4.2. Merger, Acquisition and New Investment
 4.3. News of Product Release
 4.4. Geographical Expansion
 4.5. Market SWOT Analysis
 4.6. Industry Chain Analysis 
 Chapter 5. Global Intelligent Process Automation Market, by Product Type
 5.1. Market Snapshot 
 5.2. Global Intelligent Process Automation Market by Source, Performance - Potential Analysis
 5.3. Global Intelligent Process Automation Market Estimates & Forecasts by Product 2018-2027 (USD Billion)
 5.4. Intelligent Process Automation Market, Sub Segment Analysis
 5.4.1. Natural Language Processing
 5.4.2. Machine and Deep Learning
 5.4.3. Neural Networks
 5.4.4. Virtual Agents
 5.4.5. Mini Bots and RPA
 5.4.6. Computer Vision
 5.4.7. Others
 Chapter 6. Global Intelligent Process Automation Market, by Application
 6.1. Market Snapshot 
 6.2. Global Intelligent Process Automation Market by Source, Performance - Potential Analysis
 6.3. Global Intelligent Process Automation Market Estimates & Forecasts by Application 2018-2027 (USD Billion)
 6.4. Intelligent Process Automation Market, Sub Segment Analysis
 6.4.1. Business Process Automation
 6.4.2. Application Management
 6.4.3. Content Management
 6.4.4. Security
 6.4.5. Others
 Chapter 7. Global Intelligent Process Automation Market, Regional Analysis
 7.1. Intelligent Process Automation Market, Regional Market Snapshot 
 7.2. North America Intelligent Process Automation Market 
 7.2.1. U.S. Intelligent Process Automation Market
 7.2.1.1. Product Type breakdown estimates & forecasts, 2018-2027
 7.2.1.2. Application breakdown estimates & forecasts, 2018-2027
 7.2.2. Canada Intelligent Process Automation Market
 7.2.3. Mexico Intelligent Process Automation Market 
 7.3. Europe Intelligent Process Automation Market Snapshot
 7.3.1. U.K. Intelligent Process Automation Market 
 7.3.2. Germany Intelligent Process Automation Market
 7.3.3. France Intelligent Process Automation Market
 7.3.4. Italy Intelligent Process Automation Market
 7.3.5. Spain Intelligent Process Automation Market
 7.3.6. Russia Intelligent Process Automation Market
 7.3.7. Rest of Europe Intelligent Process Automation Market
 7.4. Asia-Pacific Intelligent Process Automation Market Snapshot
 7.4.1. China Intelligent Process Automation Market 
 7.4.2. India Intelligent Process Automation Market 
 7.4.3. Japan Intelligent Process Automation Market
 7.4.4. South Korea Intelligent Process Automation Market
 7.4.5. Australia Intelligent Process Automation Market
 7.4.6. Southeast Asia Intelligent Process Automation Market
 7.4.7. Rest ASEAN Countries Intelligent Process Automation Market
 7.5. MEA Intelligent Process Automation Market Snapshot
 7.5.1. South Arabia Intelligent Process Automation Market
 7.5.2. UAE Intelligent Process Automation Market
 7.5.3. Egypt Intelligent Process Automation Market
 7.5.4. Nigeria Intelligent Process Automation Market
 7.5.5. South Africa Intelligent Process Automation Market
 7.5.6. Rest of MEA Intelligent Process Automation Market
 7.6. South America Intelligent Process Automation Market Snapshot 
 7.6.1. Brazil Intelligent Process Automation Market
 7.6.2. Argentina Intelligent Process Automation Market
 7.6.3. Columbia Intelligent Process Automation Market
 7.6.4. Chile Intelligent Process Automation Market
 7.6.5. Rest of South America Intelligent Process Automation Market
 Chapter 8. Competitive Intelligence
 8.1. Top Market Strategies
 8.2. Company Profile
 8.2.1. Cognizant Inc.
 8.2.1.1.  Key Information
 8.2.1.2. Overview
 8.2.1.3. Financial (Subject to Data Availability)
 8.2.1.4. Product Summary
 8.2.1.5. Recent Developments
 8.2.2. Wipro Ltd.
 8.2.3. Thoughtonomy Inc.
 8.2.4. UiPath Inc.
 8.2.5. EXL Services Inc.
 8.2.6. IBM Inc.
 8.2.7. TCS Corporation
 8.2.8. CGI Inc.
 8.2.9. Capgemini SE
 8.2.10. Infosys Ltd.
 8.2.11. Atos Syntel
 8.2.12. Genpact
 8.2.13. Blue Prism Group
 8.2.14. Pegasystem Inc.
 8.2.15. HCL Technologies
 8.2.16. KPMG International limited.
 8.2.17. Tech Mahindra
 Chapter 9. Research Process
 9.1. Research Process
 9.1.1. Data Mining
 9.1.2. Analysis
 9.1.3. Market Estimation
 9.1.4. Validation
 9.1.5. Publishing
 9.2. Research Attributes
 9.3. Research Assumption

Global Intelligent Process Automation Market was valued at USD XXX Billion in 2019 and expected to grow with a CAGR XX% over the forecast period 2020-2027. The intelligent process automation market is growing due to an increased adoption rate of automation processes to improve workplace efficiency. Furthermore, the intelligence process automation industry has grown as a result of the digital revolution, increased spending by entrepreneurs, and its potential to facilitate quicker business decisions, as well as improvements in the implementation of automation software. The growing internet penetration in developed countries, as well as the growing number of mobile operators and growing adoption of cloud based services in the telecommunications, healthcare, BFSI, and IT industries is driving the market growth of Intelligent process automation in the forecasting period. For instance, according to Eurostat, 26% of EU enterprises used cloud computing in 2018, primarily for e-mails and storage of files. Finland has the highest adoption of cloud computing services in Europe and accounted for 65.3% in 2018. Later on, Sweden, Denmark, and Norway attracted significant share in 2018 with 57.2%, 55.6%, and 50.7%, respectively. Furthermore, this significant adoption of cloud computing and growing focus towards modernizing education and training system is expected to encourage the demand for AI in the education sector. For instance, as per the European Commission, one of the eleven priorities for cohesive policy in 2014-2020 includes education and training. However, Addressing Governance and Compliance Requirements hinder the market growth of Intelligent Process Automation during the forecasting period 2020-2027.
The regional analysis of the Intelligent Process Automation Market is considered for the key regions such as Asia Pacific, North America, Europe, South America and MEA. In which, The Asia Pacific region is projected to have the highest CAGR in the intelligent process automation market during the forecast period owing of its increasing technological acceptance. Because of the presence of increasingly rising economies such as China and India, this is the case. The intelligent automation market in the Asia Pacific region is expected to expand due to rapid economic growth, globalization, digitalization, and increased adoption of cloud-based technology.

Key Players in Global Intelligent Process Automation Market
Cognizant Inc.
Wipro Ltd.
Thoughtonomy Inc.
UiPath Inc.
EXL Services Inc.
IBM Inc.
TCS Corporation
CGI Inc.
Capgemini SE
Infosys Ltd.
Atos Syntel
Genpact
Blue Prism Group
Pegasystem Inc.
HCL Technologies
KPMG International limited.
Tech Mahindra
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Product Type:
Natural Language Processing
Machine and Deep Learning
Neural Networks
Virtual Agents
Mini Bots and RPA
Computer Vision
Others
By Application:
Business Process Automation
Application Management
Content Management
Security
Others

By Region:
North America
U.S.
Canada
Mexico
Europe
UK
Germany
France
Italy
Spain
Russia
ROE
Asia Pacific
China
India
Japan
Australia
Southeast Asia
South Korea
Rest of ASEAN Countries
Middle East Africa
Saudi Arabia
UAE
Egypt
Nigeria
South Africa
Rest of MAE
South America
Brazil
Argentina
Columbia
Chile
Rest of South America

Furthermore, years considered for the study are as follows:

Historical year – 2017, 2018
Base year – 2019
Forecast period – 2020 to 2027

Target Audience of Global Intelligent Process Automation Market in Market Study:

Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers
Investors


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