November 12, 2024

Cognitive Automation Market to Witness Comprehensive Growth by 2030

Precedence Research a new report on cognitive automation market size, share, growth, industry trends, and forecast 2030, covering various industry elements and growth trends helpful for predicting the market’s future.

Cognitive Automation

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The global cognitive automation market report offers various segments analysis by size, trends, growth factors, opportunities and key country outlook to 2030. The report offers a detailed analysis and information as per cognitive automation, market segments helping our readers to get a comprehensive overview of the global market. Several players are planning to focus on developing cost-effective products or services, aiming to maintain a strong foothold in the market.

Cognitive Automation Market Report Scope 
Report Coverage Details
Base Year 2021
Forecast Period 2022 to 2030
By Type
  • Robotic Process Automation
  • Intelligent Automation
By End Users
  • BFSI
  • Pharma & Healthcare
  • Retail & Consumer Goods
  • Information Technology (IT) & Telecom
  • Communication and Media & Education
  • Manufacturing
  • Logistics and Energy & Utilities
  • Others

The company profiling of leading market players is included this report with Porter’s five forces analysis and Value Chain analysis. Further, the strategies exercised by the companies for expansion of business through mergers, acquisitions, and other business development measures are discussed in the report. The financial parameters which are assessed include the sales, profits and the overall revenue generated by the key players of Market.

Read Also@ Data Science Platform Market Size to Hit Around US$ 378.7 billion by 2030

Some of the prominent players in the cognitive automation market include:
  • Automation Anywhere
  • Blue Prism
  • Edge Verve Systems Ltd.
  • FPT Software
  • KOFAX, Inc.
  • NICE
  • NTT Advanced Technology Corp.
  • OnviSource, Inc.
  • Pegasystems
  • UiPath
Cognitive Automation Market Segmentation

By Type

  • Robotic Process Automation
  • Intelligent Automation

By End Users

  • BFSI
  • Pharma & Healthcare
  • Retail & Consumer Goods
  • Information Technology (IT) & Telecom
  • Communication and Media & Education
  • Manufacturing
  • Logistics and Energy & Utilities
  • Others

Regional Segmentation

  • Asia-Pacific [China, Southeast Asia, India, Japan, Korea, Western Asia]
  • Europe [Germany, UK, France, Italy, Russia, Spain, Netherlands, Turkey, Switzerland]
  • North America [United States, Canada, Mexico]
  • South America [Brazil, Argentina, Columbia, Chile, Peru]
  • Middle East & Africa [GCC, North Africa, South Africa]

Key Questions are

  • What are the key factors influencing the cognitive automation market in each region?
  • How much value will the global market generate by the end of the forecast period?
  • What will be the CAGR of the global market between 2022 and 2030?
  • What would be the Y-o-Y growth trend of the global market between 2022 and 2030?
  • What is the future scope and current trends in technologies of the global market?
  • What is the revenue of the global market based on segments?
  • Which key strategies are used by top players of the global market?
  • Which are the leading companies in the global market?
  • What are the essential strategies by key stakeholders in the market to expand their geographic presence?
  • What are the major advancements witnessed in the global market?

Research Objectives and Research Approach

The comprehensive report on the global cognitive automation market begins with an overview, followed by the scope and objectives of the study. The report provides detailed explanation of the objectives behind this study and key vendors and distributors operating in the market and regulatory scenario for approval of products. Following this, the report provides detailed explanation of objectives of this study and laid down by accredited agencies in the purview of research in the global cognitive automation market.

It is followed by market introduction, market dynamics, and an overview of the global market, which includes analysis of market drivers, restraints, and trends pertaining to the global market. Furthermore, Y-o-Y growth analysis with elaborated insights has been provided in order to understand the Y-o-Y growth trend of the global market.

For reading comprehensibility, the report has been compiled in a chapter-wise layout, with each section divided into smaller sections. The report comprises an exhaustive collection of graphs and tables that are appropriately interspersed. Pictorial representation of actual and projected values of key segments is visually appealing to readers. This also allows comparison of the market shares of key segments in the past and at the end of the forecast period.

The report analyzes the global cognitive automation market in terms of type, application, region and others. Key segments under each criteria are studied at length, and the market share for each of these at the end of 2030 has also been provided. Such valuable insights enable market stakeholders in making informed business decisions for investment in the global market.

Why should you invest in this report?

If you are aiming to enter the global cognitive automation market, this report is a comprehensive guide that provides crystal clear insights into this niche market. All the major application areas for cognitive automation are covered in this report and information is given on the important regions of the world where this market is likely to boom during the forecast period of 2022-2030 so that you can plan your strategies to enter this market accordingly.

Besides, through this report, you can have a complete grasp of the level of competition you will be facing in this hugely competitive market and if you are an established player in this market already, this report will help you gauge the strategies that your competitors have adopted to stay as market leaders in this market. For new entrants to this market, the voluminous data provided in this report is invaluable.

Table of Contents

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

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 Cognitive Automation Market 

5.1. COVID-19 Landscape: Cognitive 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 Cognitive Automation Market, By Type

8.1. Cognitive Automation Market, by Type, 2022-2030

8.1.1. Robotic Process Automation

8.1.1.1. Market Revenue and Forecast (2017-2030)

8.1.2. Intelligent Automation

8.1.2.1. Market Revenue and Forecast (2017-2030)

Chapter 9. Global Cognitive Automation Market, By End Users

9.1. Cognitive Automation Market, by End Users, 2022-2030

9.1.1. BFSI

9.1.1.1. Market Revenue and Forecast (2017-2030)

9.1.2. Pharma & Healthcare

9.1.2.1. Market Revenue and Forecast (2017-2030)

9.1.3. Retail & Consumer Goods

9.1.3.1. Market Revenue and Forecast (2017-2030)

9.1.4. Information Technology (IT) & Telecom

9.1.4.1. Market Revenue and Forecast (2017-2030)

9.1.5. Communication and Media & Education

9.1.5.1. Market Revenue and Forecast (2017-2030)

9.1.6. Manufacturing

9.1.6.1. Market Revenue and Forecast (2017-2030)

9.1.7. Logistics and Energy & Utilities

9.1.7.1. Market Revenue and Forecast (2017-2030)

9.1.8. Others

9.1.8.1. Market Revenue and Forecast (2017-2030)

Chapter 10. Global Cognitive Automation Market, Regional Estimates and Trend Forecast

10.1. North America

10.1.1. Market Revenue and Forecast, by Type (2017-2030)

10.1.2. Market Revenue and Forecast, by End Users (2017-2030)

10.1.3. U.S.

10.1.3.1. Market Revenue and Forecast, by Type (2017-2030)

10.1.3.2. Market Revenue and Forecast, by End Users (2017-2030)

10.1.4. Rest of North America

10.1.4.1. Market Revenue and Forecast, by Type (2017-2030)

10.1.4.2. Market Revenue and Forecast, by End Users (2017-2030)

10.2. Europe

10.2.1. Market Revenue and Forecast, by Type (2017-2030)

10.2.2. Market Revenue and Forecast, by End Users (2017-2030)

10.2.3. UK

10.2.3.1. Market Revenue and Forecast, by Type (2017-2030)

10.2.3.2. Market Revenue and Forecast, by End Users (2017-2030)

10.2.4. Germany

10.2.4.1. Market Revenue and Forecast, by Type (2017-2030)

10.2.4.2. Market Revenue and Forecast, by End Users (2017-2030)

10.2.5. France

10.2.5.1. Market Revenue and Forecast, by Type (2017-2030)

10.2.5.2. Market Revenue and Forecast, by End Users (2017-2030)

10.2.6. Rest of Europe

10.2.6.1. Market Revenue and Forecast, by Type (2017-2030)

10.2.6.2. Market Revenue and Forecast, by End Users (2017-2030)

10.3. APAC

10.3.1. Market Revenue and Forecast, by Type (2017-2030)

10.3.2. Market Revenue and Forecast, by End Users (2017-2030)

10.3.3. India

10.3.3.1. Market Revenue and Forecast, by Type (2017-2030)

10.3.3.2. Market Revenue and Forecast, by End Users (2017-2030)

10.3.4. China

10.3.4.1. Market Revenue and Forecast, by Type (2017-2030)

10.3.4.2. Market Revenue and Forecast, by End Users (2017-2030)

10.3.5. Japan

10.3.5.1. Market Revenue and Forecast, by Type (2017-2030)

10.3.5.2. Market Revenue and Forecast, by End Users (2017-2030)

10.3.6. Rest of APAC

10.3.6.1. Market Revenue and Forecast, by Type (2017-2030)

10.3.6.2. Market Revenue and Forecast, by End Users (2017-2030)

10.4. MEA

10.4.1. Market Revenue and Forecast, by Type (2017-2030)

10.4.2. Market Revenue and Forecast, by End Users (2017-2030)

10.4.3. GCC

10.4.3.1. Market Revenue and Forecast, by Type (2017-2030)

10.4.3.2. Market Revenue and Forecast, by End Users (2017-2030)

10.4.4. North Africa

10.4.4.1. Market Revenue and Forecast, by Type (2017-2030)

10.4.4.2. Market Revenue and Forecast, by End Users (2017-2030)

10.4.5. South Africa

10.4.5.1. Market Revenue and Forecast, by Type (2017-2030)

10.4.5.2. Market Revenue and Forecast, by End Users (2017-2030)

10.4.6. Rest of MEA

10.4.6.1. Market Revenue and Forecast, by Type (2017-2030)

10.4.6.2. Market Revenue and Forecast, by End Users (2017-2030)

10.5. Latin America

10.5.1. Market Revenue and Forecast, by Type (2017-2030)

10.5.2. Market Revenue and Forecast, by End Users (2017-2030)

10.5.3. Brazil

10.5.3.1. Market Revenue and Forecast, by Type (2017-2030)

10.5.3.2. Market Revenue and Forecast, by End Users (2017-2030)

10.5.4. Rest of LATAM

10.5.4.1. Market Revenue and Forecast, by Type (2017-2030)

10.5.4.2. Market Revenue and Forecast, by End Users (2017-2030)

Chapter 11. Company Profiles

11.1. Automation Anywhere

11.1.1. Company Overview

11.1.2. Product Offerings

11.1.3. Financial Performance

11.1.4. Recent Initiatives

11.2. Blue Prism

11.2.1. Company Overview

11.2.2. Product Offerings

11.2.3. Financial Performance

11.2.4. Recent Initiatives

11.3. Edge Verve Systems Ltd.

11.3.1. Company Overview

11.3.2. Product Offerings

11.3.3. Financial Performance

11.3.4. Recent Initiatives

11.4. FPT Software

11.4.1. Company Overview

11.4.2. Product Offerings

11.4.3. Financial Performance

11.4.4. Recent Initiatives

11.5. KOFAX, Inc.

11.5.1. Company Overview

11.5.2. Product Offerings

11.5.3. Financial Performance

11.5.4. Recent Initiatives

11.6. NICE

11.6.1. Company Overview

11.6.2. Product Offerings

11.6.3. Financial Performance

11.6.4. Recent Initiatives

11.7. NTT Advanced Technology Corp

11.7.1. Company Overview

11.7.2. Product Offerings

11.7.3. Financial Performance

11.7.4. Recent Initiatives

11.8. OnviSource, Inc.

11.8.1. Company Overview

11.8.2. Product Offerings

11.8.3. Financial Performance

11.8.4. Recent Initiatives

11.9. Pegasystems

11.9.1. Company Overview

11.9.2. Product Offerings

11.9.3. Financial Performance

11.9.4. Recent Initiatives

11.10. UiPath

11.10.1. Company Overview

11.10.2. Product Offerings

11.10.3. Financial Performance

11.10.4. Recent Initiatives

Chapter 12. Research Methodology

12.1. Primary Research

12.2. Secondary Research

12.3. Assumptions

Chapter 13. Appendix

13.1. About Us

13.2. Glossary of Terms

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