Intelligent Process Automation Market 2027 By Component, Technology, Application, Vertical and Geography | The Insight Partners

Intelligent Process Automation Market Forecast to 2027 - Covid-19 Impact and Global Analysis - by Component (Solution, Services); Technology (Natural Language Processing, Machine and Deep Learning, Neural Networks, Virtual Agents, Mini Bots, Computer Vision,); Application (IT Operations, Business Process Automation, Application Management, Content Management, Security); Vertical (BFSI, Telecommunications and IT, Transport and Logistics, Media and Entertainment, Retail and Ecommerce, Manufacturing, Healthcare and Life Sciences) and Geography

Report Code: TIPRE00004370 | No. of Pages: 150 | Category: Technology, Media and Telecommunications | Status: Upcoming
Covid
MARKET INTRODUCTION

Intelligent Process Automation (IPA) is a set of innovative technology which refers to the usage of Artificial Intelligence and related technologies. Intelligent Process Automation is designed to assist human by mitigating the repetitive, routine and manual tasks. In the percent scenario due to the adoption of automated technology in various industries it is estimated that the Intelligent Process Automation Market will flourish in recent times.  

MARKET DYNAMICS

The Intelligent Process Automation market (IPA) is growing at a faster rate owing to the increased adoption of various automated technologies across industries in developed as well as developing countries. Intelligent Process Automation is changing the way a business is done in nearly every sector of the economy. Furthermore, the mixture of artificial intelligence and automation is changing the business outlook and it is also projected to greatly influence the market. The implementing cost of Intelligent Automation is currently high as it is expected a lower down in coming years.

MARKET SCOPE

The "Global Intelligent Process Automation market (IPA) Analysis to 2027" is a specialized and in-depth study of the Intelligent Process Automation market (IPA) industry with a special focus on the global market trend analysis. The report aims to provide an overview of Intelligent Process Automation market (IPA) with detailed market segmentation by technology, type and geography. The global Intelligent Process Automation market (IPA) is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the leading Intelligent Process Automation market (IPA) players and offers key trends and opportunities in the market.

MARKET SEGMENTATION

The global Intelligent Process Automation market (IPA) is segmented on the basis of Component, Technology, Application and Vertical. Based on Component, the market is segmented as Solutions and Services. On the basis of Technology, the type the market is segmented into Natural Learning Process, Machine Learning Process, Neural Networks, Virtual Agents, Mini bots, Computer Vision and Others. On the basis of Application, the market is segmented into IT Operation, Business Process Automation, Application Management, Content Management, Security and others. On the basis of the market is segmented into Vertical the market is segmented into BFSI, Telecommunications and IT, Transport and Logistics, Media and Entertainment, Retail and Ecommerce, Manufacturing, Healthcare and Life Sciences, and Others.

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REGIONAL FRAMEWORK

The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides overview and forecast of the global Intelligent Process Automation market (IPA) based on various segments. It also provides market size and forecast estimates from year 2017 to 2027 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South & Central America. The Intelligent Process Automation market (IPA) by each region is later sub-segmented by respective countries and segments. The report covers analysis and forecast of 18 countries globally along with current trend and opportunities prevailing in the region.

The report analyzes factors affecting Intelligent Process Automation market (IPA) from both demand and supply side and further evaluates market dynamics effecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA and South & Central America after evaluating political, economic, social and technological factors effecting the Intelligent Process Automation market (IPA) in these regions.

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MARKET PLAYERS

The reports cover key developments in the Intelligent Process Automation market (IPA) as organic and inorganic growth strategies. Various companies are focusing on organic growth strategies such as product launches, product approvals and others such as patents and events. Inorganic growth strategies activities witnessed in the market were acquisitions, and partnership & collaborations. These activities have paved way for expansion of business and customer base of market players. The market payers from Intelligent Process Automation market (IPA) are anticipated to lucrative growth opportunities in the future with the rising demand for Intelligent Process Automation (IPA) in the global market. Below mentioned is the list of few companies engaged in the Intelligent Process Automation market (IPA).

The report also includes the profiles of key Intelligent Process Automation (IPA) companies along with their SWOT analysis and market strategies. In addition, the report focuses on leading industry players with information such as company profiles, components and services offered, financial information of last 3 years, key development in past five years.
  • Accenture
  • Blue Prism
  • Capgemini
  • Cognizant
  • CGI Inc.
  • Genpact
  • HCL Technologies Limited
  • IBM
  • KPMG
  • TATA CONSULTANCY SERVICE
The Insight Partner's dedicated research and analysis team consist of experienced professionals with advanced statistical expertise and offer various customization options in the existing study.

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TABLE OF CONTENTS

1.   INTRODUCTION
1.1.   SCOPE OF THE STUDY
1.2.   THE INSIGHT PARTNERS RESEARCH REPORT GUIDANCE
1.3.   MARKET SEGMENTATION
1.3.1   Intelligent Process Automation - By Component
1.3.2   Intelligent Process Automation - By Technology
1.3.3   Intelligent Process Automation - By Application
1.3.4   Intelligent Process Automation - By Vertical
1.3.5   Intelligent Process Automation - By Region
1.3.5.1   By Country

2.   KEY TAKEWAYS

3.   RESEARCH METHODOLOGY

4.   INTELLIGENT PROCESS AUTOMATION LANDSCAPE
4.1.   OVERVIEW
4.2.   PEST ANALYSIS
4.2.1   North America - Pest Analysis
4.2.2   Europe - Pest Analysis
4.2.3   Asia-Pacific - Pest Analysis
4.2.4   Middle East and Africa - Pest Analysis
4.2.5   South and Central America - Pest Analysis
4.3.   ECOSYSTEM ANALYSIS
4.4.   EXPERT OPINIONS

5.   INTELLIGENT PROCESS AUTOMATION - KEY MARKET DYNAMICS
5.1.   KEY MARKET DRIVERS
5.2.   KEY MARKET RESTRAINTS
5.3.   KEY MARKET OPPORTUNITIES
5.4.   FUTURE TRENDS
5.5.   IMPACT ANALYSIS OF DRIVERS, RESTRAINTS & EXPECTED INFLUENCE OF COVID-19 PANDEMIC

6.   INTELLIGENT PROCESS AUTOMATION - GLOBAL MARKET ANALYSIS
6.1.   INTELLIGENT PROCESS AUTOMATION - GLOBAL MARKET OVERVIEW
6.2.   INTELLIGENT PROCESS AUTOMATION - GLOBAL MARKET AND FORECAST TO 2027
6.3.   MARKET POSITIONING/MARKET SHARE

7.   INTELLIGENT PROCESS AUTOMATION - REVENUE AND FORECASTS TO 2027 - COMPONENT
7.1.   OVERVIEW
7.2.   COMPONENT MARKET FORECASTS AND ANALYSIS
7.3.   SOLUTION
7.3.1.   Overview
7.3.2.   Solution Market Forecast and Analysis
7.4.   SERVICES
7.4.1.   Overview
7.4.2.   Services Market Forecast and Analysis
8.   INTELLIGENT PROCESS AUTOMATION - REVENUE AND FORECASTS TO 2027 - TECHNOLOGY
8.1.   OVERVIEW
8.2.   TECHNOLOGY MARKET FORECASTS AND ANALYSIS
8.3.   NATURAL LANGUAGE PROCESSING
8.3.1.   Overview
8.3.2.   Natural Language Processing Market Forecast and Analysis
8.4.   MACHINE AND DEEP LEARNING
8.4.1.   Overview
8.4.2.   Machine and Deep Learning Market Forecast and Analysis
8.5.   NEURAL NETWORKS
8.5.1.   Overview
8.5.2.   Neural Networks Market Forecast and Analysis
8.6.   VIRTUAL AGENTS
8.6.1.   Overview
8.6.2.   Virtual Agents Market Forecast and Analysis
8.7.   MINI BOTS
8.7.1.   Overview
8.7.2.   Mini Bots Market Forecast and Analysis
8.8.   COMPUTER VISION
8.8.1.   Overview
8.8.2.   Computer Vision Market Forecast and Analysis
8.9.   
8.9.1.   Overview
8.9.2.    Market Forecast and Analysis
9.   INTELLIGENT PROCESS AUTOMATION - REVENUE AND FORECASTS TO 2027 - APPLICATION
9.1.   OVERVIEW
9.2.   APPLICATION MARKET FORECASTS AND ANALYSIS
9.3.   IT OPERATIONS
9.3.1.   Overview
9.3.2.   IT Operations Market Forecast and Analysis
9.4.   BUSINESS PROCESS AUTOMATION
9.4.1.   Overview
9.4.2.   Business Process Automation Market Forecast and Analysis
9.5.   APPLICATION MANAGEMENT
9.5.1.   Overview
9.5.2.   Application Management Market Forecast and Analysis
9.6.   CONTENT MANAGEMENT
9.6.1.   Overview
9.6.2.   Content Management Market Forecast and Analysis
9.7.   SECURITY
9.7.1.   Overview
9.7.2.   Security Market Forecast and Analysis
10.   INTELLIGENT PROCESS AUTOMATION - REVENUE AND FORECASTS TO 2027 - VERTICAL
10.1.   OVERVIEW
10.2.   VERTICAL MARKET FORECASTS AND ANALYSIS
10.3.   BFSI
10.3.1.   Overview
10.3.2.   BFSI Market Forecast and Analysis
10.4.   TELECOMMUNICATIONS AND IT
10.4.1.   Overview
10.4.2.   Telecommunications and IT Market Forecast and Analysis
10.5.   TRANSPORT AND LOGISTICS
10.5.1.   Overview
10.5.2.   Transport and Logistics Market Forecast and Analysis
10.6.   MEDIA AND ENTERTAINMENT
10.6.1.   Overview
10.6.2.   Media and Entertainment Market Forecast and Analysis
10.7.   RETAIL AND ECOMMERCE
10.7.1.   Overview
10.7.2.   Retail and Ecommerce Market Forecast and Analysis
10.8.   MANUFACTURING
10.8.1.   Overview
10.8.2.   Manufacturing Market Forecast and Analysis
10.9.   HEALTHCARE AND LIFE SCIENCES
10.9.1.   Overview
10.9.2.   Healthcare and Life Sciences Market Forecast and Analysis

11.   INTELLIGENT PROCESS AUTOMATION REVENUE AND FORECASTS TO 2027 - GEOGRAPHICAL ANALYSIS
11.1.   NORTH AMERICA
11.1.1   North America Intelligent Process Automation Overview
11.1.2   North America Intelligent Process Automation Forecasts and Analysis
11.1.3   North America Intelligent Process Automation Forecasts and Analysis - By Component
11.1.4   North America Intelligent Process Automation Forecasts and Analysis - By Technology
11.1.5   North America Intelligent Process Automation Forecasts and Analysis - By Application
11.1.6   North America Intelligent Process Automation Forecasts and Analysis - By Vertical
11.1.7   North America Intelligent Process Automation Forecasts and Analysis - By Countries
11.1.7.1   United States Intelligent Process Automation
11.1.7.1.1   United States Intelligent Process Automation by Component
11.1.7.1.2   United States Intelligent Process Automation by Technology
11.1.7.1.3   United States Intelligent Process Automation by Application
11.1.7.1.4   United States Intelligent Process Automation by Vertical
11.1.7.2   Canada Intelligent Process Automation
11.1.7.2.1   Canada Intelligent Process Automation by Component
11.1.7.2.2   Canada Intelligent Process Automation by Technology
11.1.7.2.3   Canada Intelligent Process Automation by Application
11.1.7.2.4   Canada Intelligent Process Automation by Vertical
11.1.7.3   Mexico Intelligent Process Automation
11.1.7.3.1   Mexico Intelligent Process Automation by Component
11.1.7.3.2   Mexico Intelligent Process Automation by Technology
11.1.7.3.3   Mexico Intelligent Process Automation by Application
11.1.7.3.4   Mexico Intelligent Process Automation by Vertical
11.2.   EUROPE
11.2.1   Europe Intelligent Process Automation Overview
11.2.2   Europe Intelligent Process Automation Forecasts and Analysis
11.2.3   Europe Intelligent Process Automation Forecasts and Analysis - By Component
11.2.4   Europe Intelligent Process Automation Forecasts and Analysis - By Technology
11.2.5   Europe Intelligent Process Automation Forecasts and Analysis - By Application
11.2.6   Europe Intelligent Process Automation Forecasts and Analysis - By Vertical
11.2.7   Europe Intelligent Process Automation Forecasts and Analysis - By Countries
11.2.7.1   Germany Intelligent Process Automation
11.2.7.1.1   Germany Intelligent Process Automation by Component
11.2.7.1.2   Germany Intelligent Process Automation by Technology
11.2.7.1.3   Germany Intelligent Process Automation by Application
11.2.7.1.4   Germany Intelligent Process Automation by Vertical
11.2.7.2   France Intelligent Process Automation
11.2.7.2.1   France Intelligent Process Automation by Component
11.2.7.2.2   France Intelligent Process Automation by Technology
11.2.7.2.3   France Intelligent Process Automation by Application
11.2.7.2.4   France Intelligent Process Automation by Vertical
11.2.7.3   Italy Intelligent Process Automation
11.2.7.3.1   Italy Intelligent Process Automation by Component
11.2.7.3.2   Italy Intelligent Process Automation by Technology
11.2.7.3.3   Italy Intelligent Process Automation by Application
11.2.7.3.4   Italy Intelligent Process Automation by Vertical
11.2.7.4   United Kingdom Intelligent Process Automation
11.2.7.4.1   United Kingdom Intelligent Process Automation by Component
11.2.7.4.2   United Kingdom Intelligent Process Automation by Technology
11.2.7.4.3   United Kingdom Intelligent Process Automation by Application
11.2.7.4.4   United Kingdom Intelligent Process Automation by Vertical
11.2.7.5   Russia Intelligent Process Automation
11.2.7.5.1   Russia Intelligent Process Automation by Component
11.2.7.5.2   Russia Intelligent Process Automation by Technology
11.2.7.5.3   Russia Intelligent Process Automation by Application
11.2.7.5.4   Russia Intelligent Process Automation by Vertical
11.2.7.6   Rest of Europe Intelligent Process Automation
11.2.7.6.1   Rest of Europe Intelligent Process Automation by Component
11.2.7.6.2   Rest of Europe Intelligent Process Automation by Technology
11.2.7.6.3   Rest of Europe Intelligent Process Automation by Application
11.2.7.6.4   Rest of Europe Intelligent Process Automation by Vertical
11.3.   ASIA-PACIFIC
11.3.1   Asia-Pacific Intelligent Process Automation Overview
11.3.2   Asia-Pacific Intelligent Process Automation Forecasts and Analysis
11.3.3   Asia-Pacific Intelligent Process Automation Forecasts and Analysis - By Component
11.3.4   Asia-Pacific Intelligent Process Automation Forecasts and Analysis - By Technology
11.3.5   Asia-Pacific Intelligent Process Automation Forecasts and Analysis - By Application
11.3.6   Asia-Pacific Intelligent Process Automation Forecasts and Analysis - By Vertical
11.3.7   Asia-Pacific Intelligent Process Automation Forecasts and Analysis - By Countries
11.3.7.1   Australia Intelligent Process Automation
11.3.7.1.1   Australia Intelligent Process Automation by Component
11.3.7.1.2   Australia Intelligent Process Automation by Technology
11.3.7.1.3   Australia Intelligent Process Automation by Application
11.3.7.1.4   Australia Intelligent Process Automation by Vertical
11.3.7.2   China Intelligent Process Automation
11.3.7.2.1   China Intelligent Process Automation by Component
11.3.7.2.2   China Intelligent Process Automation by Technology
11.3.7.2.3   China Intelligent Process Automation by Application
11.3.7.2.4   China Intelligent Process Automation by Vertical
11.3.7.3   India Intelligent Process Automation
11.3.7.3.1   India Intelligent Process Automation by Component
11.3.7.3.2   India Intelligent Process Automation by Technology
11.3.7.3.3   India Intelligent Process Automation by Application
11.3.7.3.4   India Intelligent Process Automation by Vertical
11.3.7.4   Japan Intelligent Process Automation
11.3.7.4.1   Japan Intelligent Process Automation by Component
11.3.7.4.2   Japan Intelligent Process Automation by Technology
11.3.7.4.3   Japan Intelligent Process Automation by Application
11.3.7.4.4   Japan Intelligent Process Automation by Vertical
11.3.7.5   South Korea Intelligent Process Automation
11.3.7.5.1   South Korea Intelligent Process Automation by Component
11.3.7.5.2   South Korea Intelligent Process Automation by Technology
11.3.7.5.3   South Korea Intelligent Process Automation by Application
11.3.7.5.4   South Korea Intelligent Process Automation by Vertical
11.3.7.6   Rest of Asia-Pacific Intelligent Process Automation
11.3.7.6.1   Rest of Asia-Pacific Intelligent Process Automation by Component
11.3.7.6.2   Rest of Asia-Pacific Intelligent Process Automation by Technology
11.3.7.6.3   Rest of Asia-Pacific Intelligent Process Automation by Application
11.3.7.6.4   Rest of Asia-Pacific Intelligent Process Automation by Vertical
11.4.   MIDDLE EAST AND AFRICA
11.4.1   Middle East and Africa Intelligent Process Automation Overview
11.4.2   Middle East and Africa Intelligent Process Automation Forecasts and Analysis
11.4.3   Middle East and Africa Intelligent Process Automation Forecasts and Analysis - By Component
11.4.4   Middle East and Africa Intelligent Process Automation Forecasts and Analysis - By Technology
11.4.5   Middle East and Africa Intelligent Process Automation Forecasts and Analysis - By Application
11.4.6   Middle East and Africa Intelligent Process Automation Forecasts and Analysis - By Vertical
11.4.7   Middle East and Africa Intelligent Process Automation Forecasts and Analysis - By Countries
11.4.7.1   South Africa Intelligent Process Automation
11.4.7.1.1   South Africa Intelligent Process Automation by Component
11.4.7.1.2   South Africa Intelligent Process Automation by Technology
11.4.7.1.3   South Africa Intelligent Process Automation by Application
11.4.7.1.4   South Africa Intelligent Process Automation by Vertical
11.4.7.2   Saudi Arabia Intelligent Process Automation
11.4.7.2.1   Saudi Arabia Intelligent Process Automation by Component
11.4.7.2.2   Saudi Arabia Intelligent Process Automation by Technology
11.4.7.2.3   Saudi Arabia Intelligent Process Automation by Application
11.4.7.2.4   Saudi Arabia Intelligent Process Automation by Vertical
11.4.7.3   U.A.E Intelligent Process Automation
11.4.7.3.1   U.A.E Intelligent Process Automation by Component
11.4.7.3.2   U.A.E Intelligent Process Automation by Technology
11.4.7.3.3   U.A.E Intelligent Process Automation by Application
11.4.7.3.4   U.A.E Intelligent Process Automation by Vertical
11.4.7.4   Rest of Middle East and Africa Intelligent Process Automation
11.4.7.4.1   Rest of Middle East and Africa Intelligent Process Automation by Component
11.4.7.4.2   Rest of Middle East and Africa Intelligent Process Automation by Technology
11.4.7.4.3   Rest of Middle East and Africa Intelligent Process Automation by Application
11.4.7.4.4   Rest of Middle East and Africa Intelligent Process Automation by Vertical
11.5.   SOUTH AND CENTRAL AMERICA
11.5.1   South and Central America Intelligent Process Automation Overview
11.5.2   South and Central America Intelligent Process Automation Forecasts and Analysis
11.5.3   South and Central America Intelligent Process Automation Forecasts and Analysis - By Component
11.5.4   South and Central America Intelligent Process Automation Forecasts and Analysis - By Technology
11.5.5   South and Central America Intelligent Process Automation Forecasts and Analysis - By Application
11.5.6   South and Central America Intelligent Process Automation Forecasts and Analysis - By Vertical
11.5.7   South and Central America Intelligent Process Automation Forecasts and Analysis - By Countries
11.5.7.1   Brazil Intelligent Process Automation
11.5.7.1.1   Brazil Intelligent Process Automation by Component
11.5.7.1.2   Brazil Intelligent Process Automation by Technology
11.5.7.1.3   Brazil Intelligent Process Automation by Application
11.5.7.1.4   Brazil Intelligent Process Automation by Vertical
11.5.7.2   Argentina Intelligent Process Automation
11.5.7.2.1   Argentina Intelligent Process Automation by Component
11.5.7.2.2   Argentina Intelligent Process Automation by Technology
11.5.7.2.3   Argentina Intelligent Process Automation by Application
11.5.7.2.4   Argentina Intelligent Process Automation by Vertical
11.5.7.3   Rest of South and Central America Intelligent Process Automation
11.5.7.3.1   Rest of South and Central America Intelligent Process Automation by Component
11.5.7.3.2   Rest of South and Central America Intelligent Process Automation by Technology
11.5.7.3.3   Rest of South and Central America Intelligent Process Automation by Application
11.5.7.3.4   Rest of South and Central America Intelligent Process Automation by Vertical

12.   INDUSTRY LANDSCAPE
12.1.   MERGERS AND ACQUISITIONS
12.2.   AGREEMENTS, COLLABORATIONS AND JOIN VENTURES
12.3.   NEW PRODUCT LAUNCHES
12.4.   EXPANSIONS AND OTHER STRATEGIC DEVELOPMENTS

13.   INTELLIGENT PROCESS AUTOMATION, KEY COMPANY PROFILES
13.1.   ACCENTURE
13.1.1.   Key Facts
13.1.2.   Business Description
13.1.3.   Products and Services
13.1.4.   Financial Overview
13.1.5.   SWOT Analysis
13.1.6.   Key Developments
13.2.   BLUE PRISM
13.2.1.   Key Facts
13.2.2.   Business Description
13.2.3.   Products and Services
13.2.4.   Financial Overview
13.2.5.   SWOT Analysis
13.2.6.   Key Developments
13.3.   CAPGEMINI
13.3.1.   Key Facts
13.3.2.   Business Description
13.3.3.   Products and Services
13.3.4.   Financial Overview
13.3.5.   SWOT Analysis
13.3.6.   Key Developments
13.4.   COGNIZANT
13.4.1.   Key Facts
13.4.2.   Business Description
13.4.3.   Products and Services
13.4.4.   Financial Overview
13.4.5.   SWOT Analysis
13.4.6.   Key Developments
13.5.   CGI INC.
13.5.1.   Key Facts
13.5.2.   Business Description
13.5.3.   Products and Services
13.5.4.   Financial Overview
13.5.5.   SWOT Analysis
13.5.6.   Key Developments
13.6.   GENPACT
13.6.1.   Key Facts
13.6.2.   Business Description
13.6.3.   Products and Services
13.6.4.   Financial Overview
13.6.5.   SWOT Analysis
13.6.6.   Key Developments
13.7.   HCL TECHNOLOGIES LIMITED
13.7.1.   Key Facts
13.7.2.   Business Description
13.7.3.   Products and Services
13.7.4.   Financial Overview
13.7.5.   SWOT Analysis
13.7.6.   Key Developments
13.8.   IBM
13.8.1.   Key Facts
13.8.2.   Business Description
13.8.3.   Products and Services
13.8.4.   Financial Overview
13.8.5.   SWOT Analysis
13.8.6.   Key Developments
13.9.   KPMG
13.9.1.   Key Facts
13.9.2.   Business Description
13.9.3.   Products and Services
13.9.4.   Financial Overview
13.9.5.   SWOT Analysis
13.9.6.   Key Developments
13.10.   TATA CONSULTANCY SERVICE
13.10.1.   Key Facts
13.10.2.   Business Description
13.10.3.   Products and Services
13.10.4.   Financial Overview
13.10.5.   SWOT Analysis
13.10.6.   Key Developments

14.   APPENDIX
14.1.   ABOUT THE INSIGHT PARTNERS
14.2.   GLOSSARY OF TERMS
The List of Companies

1. Accenture
2. Blue Prism
3. Capgemini
4. Cognizant
5. CGI Inc.
6. Genpact
7. HCL Technologies Limited
8. IBM
9. KPMG
10. TATA CONSULTANCY SERVICE
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