Contact Center Analytics Market Size, Growth, Demands Outlook and Forecasts to 2030

 According to the research report, the global contactcenter analytics market size is expected to touch USD 9.1 Billion by 2030, from USD 1.8 Billion in 2021, growing with a significant CAGR of 19.73% from 2022 to 2030. 

The contact center analytics market 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 contact center analytics market 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 contact center analytics 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 contact center analytics market 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/2248

 Report Scope of the Contact Center Analytics Market

Report Coverage	Details
Market Size in 2022	USD 2.16 Billion
Market Size by 2030	USD 9.1 Billion
Growth Rate from 2022 to 2030	CAGR of 19.73%
Base Year	2021
Forecast Period	2022 to 2030
Segments Covered	Solution, Service, Deployment, Enterprise Size, End User, and Geography

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

Key Players are 8X8 Inc., CallMiner, Mitel Networks Corp., Nice Ltd., Oracle Corp, Cisco Systems, Inc., Enghouse Interactive, Five9, Inc., Genesys, Genpact Ltd., SAP SE

Market Segmentation

 By Solution

• Speech Analytics 
• Performance Analytics
• Predictive Analytics
• Text Analytics

By Service

• Integration & Deployment
• Managed Services 
• Support & Maintenance
• Training & Consulting

By Deployment 

• On-premise 
• Hosted

By Enterprise Size 

• Large Enterprises
• Small & Medium Enterprises

By End User

• IT & Telecom
• Travel & Hospitality 
• Consumer Goods & Retail
• Government
• Healthcare
• Others

By Geography

• North America
• Europe
• Asia-Pacific
• Latin America
• Middle East & Africa (MEA)

Research Methodology

The research methodology adopted by analysts for compiling the global contact center analytics market 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 contact center analytics market.

TABLE OF CONTENT

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 Contact Center Analytics Market 

5.1. COVID-19 Landscape: Contact Center Analytics 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 Contact Center Analytics Market, By Solution

8.1. Contact Center Analytics Market, by Solution, 2022-2030

8.1.1. Speech Analytics

8.1.1.1. Market Revenue and Forecast (2017-2030)

8.1.2. Performance Analytics

8.1.2.1. Market Revenue and Forecast (2017-2030)

8.1.3. Predictive Analytics

8.1.3.1. Market Revenue and Forecast (2017-2030)

8.1.4. Text Analytics

8.1.4.1. Market Revenue and Forecast (2017-2030)

Chapter 9. Global Contact Center Analytics Market, By Service

9.1. Contact Center Analytics Market, by Service, 2022-2030

9.1.1. Integration & Deployment

9.1.1.1. Market Revenue and Forecast (2017-2030)

9.1.2. Managed Services

9.1.2.1. Market Revenue and Forecast (2017-2030)

9.1.3. Support & Maintenance

9.1.3.1. Market Revenue and Forecast (2017-2030)

9.1.4. Training & Consulting

9.1.4.1. Market Revenue and Forecast (2017-2030)

Chapter 10. Global Contact Center Analytics Market, By Deployment 

10.1. Contact Center Analytics Market, by Deployment, 2022-2030

10.1.1. On-premise

10.1.1.1. Market Revenue and Forecast (2017-2030)

10.1.2. Hosted

10.1.2.1. Market Revenue and Forecast (2017-2030)

Chapter 11. Global Contact Center Analytics Market, By Enterprise Size

11.1. Contact Center Analytics Market, by Enterprise Size, 2022-2030

11.1.1. Large Enterprises

11.1.1.1. Market Revenue and Forecast (2017-2030)

11.1.2. Small & Medium Enterprises

11.1.2.1. Market Revenue and Forecast (2017-2030)

Chapter 12. Global Contact Center Analytics Market, By End User

12.1. Contact Center Analytics Market, by End User, 2022-2030

12.1.1. IT & Telecom

12.1.1.1. Market Revenue and Forecast (2017-2030)

12.1.2. Travel & Hospitality

12.1.2.1. Market Revenue and Forecast (2017-2030)

12.1.3. Consumer Goods & Retail

12.1.3.1. Market Revenue and Forecast (2017-2030)

12.1.4. Government

12.1.4.1. Market Revenue and Forecast (2017-2030)

12.1.5. Healthcare

12.1.5.1. Market Revenue and Forecast (2017-2030)

12.1.6. Others

12.1.6.1. Market Revenue and Forecast (2017-2030)

Chapter 13. Global Contact Center Analytics Market, Regional Estimates and Trend Forecast

13.1. North America

13.1.1. Market Revenue and Forecast, by Solution (2017-2030)

13.1.2. Market Revenue and Forecast, by Service (2017-2030)

13.1.3. Market Revenue and Forecast, by Deployment (2017-2030)

13.1.4. Market Revenue and Forecast, by Enterprise Size (2017-2030)

13.1.5. Market Revenue and Forecast, by End User (2017-2030)

13.1.6. U.S.

13.1.6.1. Market Revenue and Forecast, by Solution (2017-2030)

13.1.6.2. Market Revenue and Forecast, by Service (2017-2030)

13.1.6.3. Market Revenue and Forecast, by Deployment (2017-2030)

13.1.6.4. Market Revenue and Forecast, by Enterprise Size (2017-2030)

13.1.6.5. Market Revenue and Forecast, by End User (2017-2030) 

13.1.7. Rest of North America

13.1.7.1. Market Revenue and Forecast, by Solution (2017-2030)

13.1.7.2. Market Revenue and Forecast, by Service (2017-2030)

13.1.7.3. Market Revenue and Forecast, by Deployment (2017-2030)

13.1.7.4. Market Revenue and Forecast, by Enterprise Size (2017-2030)

13.1.7.5. Market Revenue and Forecast, by End User (2017-2030)

13.2. Europe

13.2.1. Market Revenue and Forecast, by Solution (2017-2030)

13.2.2. Market Revenue and Forecast, by Service (2017-2030)

13.2.3. Market Revenue and Forecast, by Deployment (2017-2030)

13.2.4. Market Revenue and Forecast, by Enterprise Size (2017-2030) 

13.2.5. Market Revenue and Forecast, by End User (2017-2030) 

13.2.6. UK

13.2.6.1. Market Revenue and Forecast, by Solution (2017-2030)

13.2.6.2. Market Revenue and Forecast, by Service (2017-2030)

13.2.6.3. Market Revenue and Forecast, by Deployment (2017-2030)

13.2.7. Market Revenue and Forecast, by Enterprise Size (2017-2030) 

13.2.8. Market Revenue and Forecast, by End User (2017-2030) 

13.2.9. Germany

13.2.9.1. Market Revenue and Forecast, by Solution (2017-2030)

13.2.9.2. Market Revenue and Forecast, by Service (2017-2030)

13.2.9.3. Market Revenue and Forecast, by Deployment (2017-2030)

13.2.10. Market Revenue and Forecast, by Enterprise Size (2017-2030)

13.2.11. Market Revenue and Forecast, by End User (2017-2030)

13.2.12. France

13.2.12.1. Market Revenue and Forecast, by Solution (2017-2030)

13.2.12.2. Market Revenue and Forecast, by Service (2017-2030)

13.2.12.3. Market Revenue and Forecast, by Deployment (2017-2030)

13.2.12.4. Market Revenue and Forecast, by Enterprise Size (2017-2030)

13.2.13. Market Revenue and Forecast, by End User (2017-2030)

13.2.14. Rest of Europe

13.2.14.1. Market Revenue and Forecast, by Solution (2017-2030)

13.2.14.2. Market Revenue and Forecast, by Service (2017-2030)

13.2.14.3. Market Revenue and Forecast, by Deployment (2017-2030)

13.2.14.4. Market Revenue and Forecast, by Enterprise Size (2017-2030)

13.2.15. Market Revenue and Forecast, by End User (2017-2030)

13.3. APAC

13.3.1. Market Revenue and Forecast, by Solution (2017-2030)

13.3.2. Market Revenue and Forecast, by Service (2017-2030)

13.3.3. Market Revenue and Forecast, by Deployment (2017-2030)

13.3.4. Market Revenue and Forecast, by Enterprise Size (2017-2030)

13.3.5. Market Revenue and Forecast, by End User (2017-2030)

13.3.6. India

13.3.6.1. Market Revenue and Forecast, by Solution (2017-2030)

13.3.6.2. Market Revenue and Forecast, by Service (2017-2030)

13.3.6.3. Market Revenue and Forecast, by Deployment (2017-2030)

13.3.6.4. Market Revenue and Forecast, by Enterprise Size (2017-2030)

13.3.7. Market Revenue and Forecast, by End User (2017-2030)

13.3.8. China

13.3.8.1. Market Revenue and Forecast, by Solution (2017-2030)

13.3.8.2. Market Revenue and Forecast, by Service (2017-2030)

13.3.8.3. Market Revenue and Forecast, by Deployment (2017-2030)

13.3.8.4. Market Revenue and Forecast, by Enterprise Size (2017-2030)

13.3.9. Market Revenue and Forecast, by End User (2017-2030)

13.3.10. Japan

13.3.10.1. Market Revenue and Forecast, by Solution (2017-2030)

13.3.10.2. Market Revenue and Forecast, by Service (2017-2030)

13.3.10.3. Market Revenue and Forecast, by Deployment (2017-2030)

13.3.10.4. Market Revenue and Forecast, by Enterprise Size (2017-2030)

13.3.10.5. Market Revenue and Forecast, by End User (2017-2030)

13.3.11. Rest of APAC

13.3.11.1. Market Revenue and Forecast, by Solution (2017-2030)

13.3.11.2. Market Revenue and Forecast, by Service (2017-2030)

13.3.11.3. Market Revenue and Forecast, by Deployment (2017-2030)

13.3.11.4. Market Revenue and Forecast, by Enterprise Size (2017-2030)

13.3.11.5. Market Revenue and Forecast, by End User (2017-2030)

13.4. MEA

13.4.1. Market Revenue and Forecast, by Solution (2017-2030)

13.4.2. Market Revenue and Forecast, by Service (2017-2030)

13.4.3. Market Revenue and Forecast, by Deployment (2017-2030)

13.4.4. Market Revenue and Forecast, by Enterprise Size (2017-2030)

13.4.5. Market Revenue and Forecast, by End User (2017-2030)

13.4.6. GCC

13.4.6.1. Market Revenue and Forecast, by Solution (2017-2030)

13.4.6.2. Market Revenue and Forecast, by Service (2017-2030)

13.4.6.3. Market Revenue and Forecast, by Deployment (2017-2030)

13.4.6.4. Market Revenue and Forecast, by Enterprise Size (2017-2030)

13.4.7. Market Revenue and Forecast, by End User (2017-2030)

13.4.8. North Africa

13.4.8.1. Market Revenue and Forecast, by Solution (2017-2030)

13.4.8.2. Market Revenue and Forecast, by Service (2017-2030)

13.4.8.3. Market Revenue and Forecast, by Deployment (2017-2030)

13.4.8.4. Market Revenue and Forecast, by Enterprise Size (2017-2030)

13.4.9. Market Revenue and Forecast, by End User (2017-2030)

13.4.10. South Africa

13.4.10.1. Market Revenue and Forecast, by Solution (2017-2030)

13.4.10.2. Market Revenue and Forecast, by Service (2017-2030)

13.4.10.3. Market Revenue and Forecast, by Deployment (2017-2030)

13.4.10.4. Market Revenue and Forecast, by Enterprise Size (2017-2030)

13.4.10.5. Market Revenue and Forecast, by End User (2017-2030)

13.4.11. Rest of MEA

13.4.11.1. Market Revenue and Forecast, by Solution (2017-2030)

13.4.11.2. Market Revenue and Forecast, by Service (2017-2030)

13.4.11.3. Market Revenue and Forecast, by Deployment (2017-2030)

13.4.11.4. Market Revenue and Forecast, by Enterprise Size (2017-2030)

13.4.11.5. Market Revenue and Forecast, by End User (2017-2030)

13.5. Latin America

13.5.1. Market Revenue and Forecast, by Solution (2017-2030)

13.5.2. Market Revenue and Forecast, by Service (2017-2030)

13.5.3. Market Revenue and Forecast, by Deployment (2017-2030)

13.5.4. Market Revenue and Forecast, by Enterprise Size (2017-2030)

13.5.5. Market Revenue and Forecast, by End User (2017-2030)

13.5.6. Brazil

13.5.6.1. Market Revenue and Forecast, by Solution (2017-2030)

13.5.6.2. Market Revenue and Forecast, by Service (2017-2030)

13.5.6.3. Market Revenue and Forecast, by Deployment (2017-2030)

13.5.6.4. Market Revenue and Forecast, by Enterprise Size (2017-2030)

13.5.7. Market Revenue and Forecast, by End User (2017-2030)

13.5.8. Rest of LATAM

13.5.8.1. Market Revenue and Forecast, by Solution (2017-2030)

13.5.8.2. Market Revenue and Forecast, by Service (2017-2030)

13.5.8.3. Market Revenue and Forecast, by Deployment (2017-2030)

13.5.8.4. Market Revenue and Forecast, by Enterprise Size (2017-2030)

13.5.8.5. Market Revenue and Forecast, by End User (2017-2030)

Chapter 14. Company Profiles

14.1. 8X8 Inc.

14.1.1. Company Overview

14.1.2. Product Offerings

14.1.3. Financial Performance

14.1.4. Recent Initiatives

14.2. CallMiner

14.2.1. Company Overview

14.2.2. Product Offerings

14.2.3. Financial Performance

14.2.4. Recent Initiatives

14.3. Mitel Networks Corp.

14.3.1. Company Overview

14.3.2. Product Offerings

14.3.3. Financial Performance

14.3.4. Recent Initiatives

14.4. Nice Ltd.

14.4.1. Company Overview

14.4.2. Product Offerings

14.4.3. Financial Performance

14.4.4. Recent Initiatives

14.5. Oracle Corp

14.5.1. Company Overview

14.5.2. Product Offerings

14.5.3. Financial Performance

14.5.4. Recent Initiatives

14.6. Cisco Systems, Inc.

14.6.1. Company Overview

14.6.2. Product Offerings

14.6.3. Financial Performance

14.6.4. Recent Initiatives

14.7. Enghouse Interactive

14.7.1. Company Overview

14.7.2. Product Offerings

14.7.3. Financial Performance

14.7.4. Recent Initiatives

14.8. Five9, Inc.

14.8.1. Company Overview

14.8.2. Product Offerings

14.8.3. Financial Performance

14.8.4. Recent Initiatives

14.9. Genesys, Genpact Ltd.

14.9.1. Company Overview

14.9.2. Product Offerings

14.9.3. Financial Performance

14.9.4. Recent Initiatives

14.10. SAP SE

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

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