Subscribe Us

header ads

Recents

header ads

Intelligent Process Automation Market Size, Growth, Demands Outlook and Forecasts to 2032

Precedence Research - April 04, 2023

According to the research report, the global intelligent process automation market size is expected to touch USD 51.26 Billion by 2032, from USD 13.96  Billion in 2022, growing with a significant CAGR of 13.89% from 2023 to 2032. 

Intelligent Process Automation Market Size 2023 To 2032

The intelligent process automation report offers a comprehensive study of the current state expected at the major drivers, market strategies, and key vendors’ growth. The report presents energetic visions to conclude and study the market size, market hopes, and competitive surroundings. The research also focuses on the important achievements of the market, research & development, and regional growth of the leading competitors operating in the market. The current trends of the global intelligent process automation in conjunction with the geographical landscape of this vertical have also been included in this report.

The report offers intricate dynamics about different aspects of the global intelligent process automation market, which aids companies operating in the market in making strategic development decisions. The study also elaborates on significant changes that are highly anticipated to configure growth of the global intelligent process automation during the forecast period. It also includes a key indicator assessment that highlights growth prospects of this market and estimates statistics related to growth of the market in terms of value (US$ Mn) and volume (tons).

Sample Link @ https://www.precedenceresearch.com/sample/2772

Report Scope of the Intelligent Process Automation Market:

Report CoverageDetails
Market Size in 2023USD 15.9 Billion
Market Size by 2032USD 51.26 Billion
Growth Rate from 2023 to 2032CAGR of 13.89%
Largest MarketNorth America
Fastest Growing MarketAsia Pacific
Base Year2022
Forecast Period2023 to 2032
Segments CoveredBy Offering, By Technology, By Organization Size, By Application, By Deployment Mode, and By Vertical

This study covers a detailed segmentation of the global intelligent process automation market, along with key information and a competition outlook. The report mentions company profiles of players that are currently dominating the global intelligent process automation market, wherein various developments, expansions, and winning strategies practiced and implemented by leading players have been presented in detail.

Key Players

  • Wipro 
  • Capgemini 
  • Infosys 
  • Cognizant 
  • Syntel 
  • Tech Mahindra 
  • Xerox Corporation 
  • Accenture 
  • HCL Technologies 
  • Tata Consultancy Services 
  • Genpact 
  • Segments Covered in the Report:
  • By Offering
  • Platform
  • Solution
  • Services

Market Segmentation

By Technology

  • Natural language Processing
  • Machine and Deep Learning
  • Neural Networks
  • Virtual Agents
  • Mini Bots
  • Computer Vision
  • Others

By Organization Size

  • Large Enterprises
  • SMEs

By Application

  • IT Operations
  • Business Process Automation
  • Application Management
  • Content Management
  • Security Management
  • Other

By Deployment Mode

  • On-premises
  • Cloud

By Vertical

  • BFSI
  • Telecommunication and IT
  • Manufacturing & Logistics
  • Media & Entertainment
  • Retail & eCommerce
  • Healthcare & Life Sciences
  • Others

By Geography

  • North America
  • Europe
  • Asia-Pacific
  • Latin America
  • The Middle East and Africa

Research Methodology

The research methodology adopted by analysts for compiling the global intelligent process automation report is based on detailed primary as well as secondary research. With the help of in-depth insights of the market-affiliated information that is obtained and legitimated by market-admissible resources, analysts have offered riveting observations and authentic forecasts for the global market.

During the primary research phase, analysts interviewed market stakeholders, investors, brand managers, vice presidents, and sales and marketing managers. Based on data obtained through interviews of genuine resources, analysts have emphasized the changing scenario of the global market.

For secondary research, analysts scrutinized numerous annual report publications, white papers, market association publications, and company websites to obtain the necessary understanding of the global intelligent process automation market.

TABLE OF CONTENT

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology (Premium Insights)

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Intelligent Process Automation Market 

5.1. COVID-19 Landscape: Intelligent Process Automation Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

Chapter 6. Market Dynamics Analysis and Trends

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Intelligent Process Automation Market, By Technology

8.1. Intelligent Process Automation Market, by Technology, 2023-2032

8.1.1. Natural language Processing

8.1.1.1. Market Revenue and Forecast (2020-2032)

8.1.2. Machine and Deep Learning

8.1.2.1. Market Revenue and Forecast (2020-2032)

8.1.3. Neural Networks

8.1.3.1. Market Revenue and Forecast (2020-2032)

8.1.4. Virtual Agents

8.1.4.1. Market Revenue and Forecast (2020-2032)

8.1.5. Mini Bots

8.1.5.1. Market Revenue and Forecast (2020-2032)

8.1.6. Computer Vision

8.1.6.1. Market Revenue and Forecast (2020-2032)

8.1.7. Others

8.1.7.1. Market Revenue and Forecast (2020-2032)

Chapter 9. Global Intelligent Process Automation Market, By Organization Size

9.1. Intelligent Process Automation Market, by Organization Size, 2023-2032

9.1.1. Large Enterprises

9.1.1.1. Market Revenue and Forecast (2020-2032)

9.1.2. SMEs

9.1.2.1. Market Revenue and Forecast (2020-2032)

Chapter 10. Global Intelligent Process Automation Market, By Application 

10.1. Intelligent Process Automation Market, by Application, 2023-2032

10.1.1. IT Operations

10.1.1.1. Market Revenue and Forecast (2020-2032)

10.1.2. Business Process Automation

10.1.2.1. Market Revenue and Forecast (2020-2032)

10.1.3. Application Management

10.1.3.1. Market Revenue and Forecast (2020-2032)

10.1.4. Content Management

10.1.4.1. Market Revenue and Forecast (2020-2032)

10.1.5. Security Management

10.1.5.1. Market Revenue and Forecast (2020-2032)

10.1.6. Other

10.1.6.1. Market Revenue and Forecast (2020-2032)

Chapter 11. Global Intelligent Process Automation Market, By Deployment Mode

11.1. Intelligent Process Automation Market, by Deployment Mode, 2023-2032

11.1.1. On-premises

11.1.1.1. Market Revenue and Forecast (2020-2032)

11.1.2. Cloud

11.1.2.1. Market Revenue and Forecast (2020-2032)

Chapter 12. Global Intelligent Process Automation Market, By Vertical

12.1. Intelligent Process Automation Market, by Vertical, 2023-2032

12.1.1. BFSI

12.1.1.1. Market Revenue and Forecast (2020-2032)

12.1.2. Telecommunication and IT

12.1.2.1. Market Revenue and Forecast (2020-2032)

12.1.3. Manufacturing & Logistics

12.1.3.1. Market Revenue and Forecast (2020-2032)

12.1.4. Media & Entertainment

12.1.4.1. Market Revenue and Forecast (2020-2032)

12.1.5. Retail & eCommerce

12.1.5.1. Market Revenue and Forecast (2020-2032)

12.1.6. Healthcare & Life Sciences

12.1.61. Market Revenue and Forecast (2020-2032)

12.1.7. Others

12.1.7.1. Market Revenue and Forecast (2020-2032)

Chapter 13. Global Intelligent Process Automation Market, Regional Estimates and Trend Forecast

13.1. North America

13.1.1. Market Revenue and Forecast, by Technology (2020-2032)

13.1.2. Market Revenue and Forecast, by Organization Size (2020-2032)

13.1.3. Market Revenue and Forecast, by Application (2020-2032)

13.1.4. Market Revenue and Forecast, by Deployment Mode (2020-2032)

13.1.5. Market Revenue and Forecast, by Vertical (2020-2032)

13.1.6. U.S.

13.1.6.1. Market Revenue and Forecast, by Technology (2020-2032)

13.1.6.2. Market Revenue and Forecast, by Organization Size (2020-2032)

13.1.6.3. Market Revenue and Forecast, by Application (2020-2032)

13.1.6.4. Market Revenue and Forecast, by Deployment Mode (2020-2032)

13.1.6.5. Market Revenue and Forecast, by Vertical (2020-2032) 

13.1.7. Rest of North America

13.1.7.1. Market Revenue and Forecast, by Technology (2020-2032)

13.1.7.2. Market Revenue and Forecast, by Organization Size (2020-2032)

13.1.7.3. Market Revenue and Forecast, by Application (2020-2032)

13.1.7.4. Market Revenue and Forecast, by Deployment Mode (2020-2032)

13.1.7.5. Market Revenue and Forecast, by Vertical (2020-2032)

13.2. Europe

13.2.1. Market Revenue and Forecast, by Technology (2020-2032)

13.2.2. Market Revenue and Forecast, by Organization Size (2020-2032)

13.2.3. Market Revenue and Forecast, by Application (2020-2032)

13.2.4. Market Revenue and Forecast, by Deployment Mode (2020-2032) 

13.2.5. Market Revenue and Forecast, by Vertical (2020-2032) 

13.2.6. UK

13.2.6.1. Market Revenue and Forecast, by Technology (2020-2032)

13.2.6.2. Market Revenue and Forecast, by Organization Size (2020-2032)

13.2.6.3. Market Revenue and Forecast, by Application (2020-2032)

13.2.7. Market Revenue and Forecast, by Deployment Mode (2020-2032) 

13.2.8. Market Revenue and Forecast, by Vertical (2020-2032) 

13.2.9. Germany

13.2.9.1. Market Revenue and Forecast, by Technology (2020-2032)

13.2.9.2. Market Revenue and Forecast, by Organization Size (2020-2032)

13.2.9.3. Market Revenue and Forecast, by Application (2020-2032)

13.2.10. Market Revenue and Forecast, by Deployment Mode (2020-2032)

13.2.11. Market Revenue and Forecast, by Vertical (2020-2032)

13.2.12. France

13.2.12.1. Market Revenue and Forecast, by Technology (2020-2032)

13.2.12.2. Market Revenue and Forecast, by Organization Size (2020-2032)

13.2.12.3. Market Revenue and Forecast, by Application (2020-2032)

13.2.12.4. Market Revenue and Forecast, by Deployment Mode (2020-2032)

13.2.13. Market Revenue and Forecast, by Vertical (2020-2032)

13.2.14. Rest of Europe

13.2.14.1. Market Revenue and Forecast, by Technology (2020-2032)

13.2.14.2. Market Revenue and Forecast, by Organization Size (2020-2032)

13.2.14.3. Market Revenue and Forecast, by Application (2020-2032)

13.2.14.4. Market Revenue and Forecast, by Deployment Mode (2020-2032)

13.2.15. Market Revenue and Forecast, by Vertical (2020-2032)

13.3. APAC

13.3.1. Market Revenue and Forecast, by Technology (2020-2032)

13.3.2. Market Revenue and Forecast, by Organization Size (2020-2032)

13.3.3. Market Revenue and Forecast, by Application (2020-2032)

13.3.4. Market Revenue and Forecast, by Deployment Mode (2020-2032)

13.3.5. Market Revenue and Forecast, by Vertical (2020-2032)

13.3.6. India

13.3.6.1. Market Revenue and Forecast, by Technology (2020-2032)

13.3.6.2. Market Revenue and Forecast, by Organization Size (2020-2032)

13.3.6.3. Market Revenue and Forecast, by Application (2020-2032)

13.3.6.4. Market Revenue and Forecast, by Deployment Mode (2020-2032)

13.3.7. Market Revenue and Forecast, by Vertical (2020-2032)

13.3.8. China

13.3.8.1. Market Revenue and Forecast, by Technology (2020-2032)

13.3.8.2. Market Revenue and Forecast, by Organization Size (2020-2032)

13.3.8.3. Market Revenue and Forecast, by Application (2020-2032)

13.3.8.4. Market Revenue and Forecast, by Deployment Mode (2020-2032)

13.3.9. Market Revenue and Forecast, by Vertical (2020-2032)

13.3.10. Japan

13.3.10.1. Market Revenue and Forecast, by Technology (2020-2032)

13.3.10.2. Market Revenue and Forecast, by Organization Size (2020-2032)

13.3.10.3. Market Revenue and Forecast, by Application (2020-2032)

13.3.10.4. Market Revenue and Forecast, by Deployment Mode (2020-2032)

13.3.10.5. Market Revenue and Forecast, by Vertical (2020-2032)

13.3.11. Rest of APAC

13.3.11.1. Market Revenue and Forecast, by Technology (2020-2032)

13.3.11.2. Market Revenue and Forecast, by Organization Size (2020-2032)

13.3.11.3. Market Revenue and Forecast, by Application (2020-2032)

13.3.11.4. Market Revenue and Forecast, by Deployment Mode (2020-2032)

13.3.11.5. Market Revenue and Forecast, by Vertical (2020-2032)

13.4. MEA

13.4.1. Market Revenue and Forecast, by Technology (2020-2032)

13.4.2. Market Revenue and Forecast, by Organization Size (2020-2032)

13.4.3. Market Revenue and Forecast, by Application (2020-2032)

13.4.4. Market Revenue and Forecast, by Deployment Mode (2020-2032)

13.4.5. Market Revenue and Forecast, by Vertical (2020-2032)

13.4.6. GCC

13.4.6.1. Market Revenue and Forecast, by Technology (2020-2032)

13.4.6.2. Market Revenue and Forecast, by Organization Size (2020-2032)

13.4.6.3. Market Revenue and Forecast, by Application (2020-2032)

13.4.6.4. Market Revenue and Forecast, by Deployment Mode (2020-2032)

13.4.7. Market Revenue and Forecast, by Vertical (2020-2032)

13.4.8. North Africa

13.4.8.1. Market Revenue and Forecast, by Technology (2020-2032)

13.4.8.2. Market Revenue and Forecast, by Organization Size (2020-2032)

13.4.8.3. Market Revenue and Forecast, by Application (2020-2032)

13.4.8.4. Market Revenue and Forecast, by Deployment Mode (2020-2032)

13.4.9. Market Revenue and Forecast, by Vertical (2020-2032)

13.4.10. South Africa

13.4.10.1. Market Revenue and Forecast, by Technology (2020-2032)

13.4.10.2. Market Revenue and Forecast, by Organization Size (2020-2032)

13.4.10.3. Market Revenue and Forecast, by Application (2020-2032)

13.4.10.4. Market Revenue and Forecast, by Deployment Mode (2020-2032)

13.4.10.5. Market Revenue and Forecast, by Vertical (2020-2032)

13.4.11. Rest of MEA

13.4.11.1. Market Revenue and Forecast, by Technology (2020-2032)

13.4.11.2. Market Revenue and Forecast, by Organization Size (2020-2032)

13.4.11.3. Market Revenue and Forecast, by Application (2020-2032)

13.4.11.4. Market Revenue and Forecast, by Deployment Mode (2020-2032)

13.4.11.5. Market Revenue and Forecast, by Vertical (2020-2032)

13.5. Latin America

13.5.1. Market Revenue and Forecast, by Technology (2020-2032)

13.5.2. Market Revenue and Forecast, by Organization Size (2020-2032)

13.5.3. Market Revenue and Forecast, by Application (2020-2032)

13.5.4. Market Revenue and Forecast, by Deployment Mode (2020-2032)

13.5.5. Market Revenue and Forecast, by Vertical (2020-2032)

13.5.6. Brazil

13.5.6.1. Market Revenue and Forecast, by Technology (2020-2032)

13.5.6.2. Market Revenue and Forecast, by Organization Size (2020-2032)

13.5.6.3. Market Revenue and Forecast, by Application (2020-2032)

13.5.6.4. Market Revenue and Forecast, by Deployment Mode (2020-2032)

13.5.7. Market Revenue and Forecast, by Vertical (2020-2032)

13.5.8. Rest of LATAM

13.5.8.1. Market Revenue and Forecast, by Technology (2020-2032)

13.5.8.2. Market Revenue and Forecast, by Organization Size (2020-2032)

13.5.8.3. Market Revenue and Forecast, by Application (2020-2032)

13.5.8.4. Market Revenue and Forecast, by Deployment Mode (2020-2032)

13.5.8.5. Market Revenue and Forecast, by Vertical (2020-2032)

Chapter 14. Company Profiles

14.1. Wipro

14.1.1. Company Overview

14.1.2. Product Offerings

14.1.3. Financial Performance

14.1.4. Recent Initiatives

14.2. Capgemini

14.2.1. Company Overview

14.2.2. Product Offerings

14.2.3. Financial Performance

14.2.4. Recent Initiatives

14.3. Infosys

14.3.1. Company Overview

14.3.2. Product Offerings

14.3.3. Financial Performance

14.3.4. Recent Initiatives

14.4. Cognizant

14.4.1. Company Overview

14.4.2. Product Offerings

14.4.3. Financial Performance

14.4.4. Recent Initiatives

14.5. Syntel

14.5.1. Company Overview

14.5.2. Product Offerings

14.5.3. Financial Performance

14.5.4. Recent Initiatives

14.6. Tech Mahindra

14.6.1. Company Overview

14.6.2. Product Offerings

14.6.3. Financial Performance

14.6.4. Recent Initiatives

14.7. Xerox Corporation

14.7.1. Company Overview

14.7.2. Product Offerings

14.7.3. Financial Performance

14.7.4. Recent Initiatives

14.8. Accenture

14.8.1. Company Overview

14.8.2. Product Offerings

14.8.3. Financial Performance

14.8.4. Recent Initiatives

14.9. HCL Technologies

14.9.1. Company Overview

14.9.2. Product Offerings

14.9.3. Financial Performance

14.9.4. Recent Initiatives

14.10. Tata Consultancy Services

14.10.1. Company Overview

14.10.2. Product Offerings

14.10.3. Financial Performance

14.10.4. Recent Initiatives

Chapter 15. Research Methodology

15.1. Primary Research

15.2. Secondary Research

15.3. Assumptions

Chapter 16. Appendix

16.1. About Us

16.2. Glossary of Terms

Contact Us:

Precedence Research

Apt 1408 1785 Riverside Drive Ottawa, ON, K1G 3T7, Canada

Call: +1 774 402 6168

Email: sales@precedenceresearch.com

Website: https://www.precedenceresearch.com

 Blog: https://www.pharma-geek.com

Tags:

Post a Comment

0 Comments