[250 Pages Report] Newly-released Contact Center Analytics Market analysis report by Future Market Insights shows that global sales of the Contact Center Analytics Market in 2021 were held at US$ 1.2 Billion. With 16.2%, the projected market growth from 2022 to 2032 is expected to be slightly higher than the historical growth. BFSI is expected to be the highest revenue-generating segment, projected to grow at a CAGR of over 16% from 2022 to 2032.
| Attributes | Details |
|---|---|
| Contact Center Analytics Market Size (2022) | US$ 1.5 Billion |
| Contact Center Analytics Market Size (2032) | US$ 6.5 Billion |
| Contact Center Analytics Market CAGR (2022 to 2032) | 16.2% |
| USA Market CAGR (2022 to 2032) | 14.9% |
| Key Companies Covered |
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As per the Global Contact Center Analytics Market research by Future Market Insights - a market research and competitive intelligence provider, historically, from 2017 to 2021, the market value of the Contact Center Analytics Market increased at around 19.1% CAGR. With an absolute dollar opportunity of US$ 5 Billion, the market is projected to reach a valuation of US$ 6.5 Billion by 2032.
The benefits it offers, including improved service quality and the ability to measure service indicators from worker performance, call wait times, customer satisfaction, and efficiency, can be ascribed to the contact centers' growing need for analytics. The increasing use of social media platforms is one of the key factors fuelling the demand for contact center analytics. Customer feedback given on social media platforms such as articles, blogs, and forums is analyzed using contact center analytics tools. Owing to this, businesses may review social media data in real time.
This creates a competitive advantage and enhances business operations. Additionally, it helps businesses understand user comments, particularly those made on social media in slang, jargon, and acronyms. It is projected that these factors will boost business demand for contact center analytics. It is projected that the growing demand for artificial intelligence-powered contact center solutions would create new opportunities for market growth. The ability of these solutions to provide actionable data cut operating costs, customize the customer experience, and increase customer agent efficiency, is projected to be the driving force for contact center analytics demand.
To manage outgoing, inbound, and blended calls, web inquiries, chats, emails, and web inquiries, businesses equip their contact centers with strong analytics and software-based telephony technologies, such as APIs, ACDs, dialers, CTI, and Voice over Internet Protocol. Advanced analytics tools are also used, including VoIP, ACDs, APIs, dialers and VoIP, CTI, real-time monitoring and analytics, social media analytics, and data and speech analytics.
Through instantaneous client preference adaptation, these technologies enable organizations to provide a better, more consistent experience. By enabling contact centers to communicate with their clients over computers, software-based telephony solutions do away with the need for a conventional phone infrastructure.
These tools provide features such as analysis of the interaction between customers and agents, real-time monitoring for the purpose of providing tailored responses, as well as video enablement for face-to-face video calls, advanced analytics technologies benefit modern contact centers. These tools include customer analytics, text analytics, predictive analytics, and performance analytics. In the Cisco Contact Center Global Survey 2020, more than 80% of participants indicated that they preferred the incorporation of bots, data analytics, and AI robotic automation in contact center systems.
Contact center analytics solutions are widely employed in the IT and telecom sectors due to their strong business process automation capabilities. These systems also give IT and telecom personnel the ability to manage all phases of a service request and deal with all incoming client communications. These solutions also offer a number of benefits, including improved client happiness, decreased operating expenses, and corporate intelligence. These technologies are also used by IT and telecom companies to identify the factors influencing the experiences of their clients.
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Contact centers always encounter substantial issues with regard to data privacy and security due to the massive volume of sensitive customer data they store. Businesses were forced to respond with technologies created to identify suspicious calls in 2020 as a result of an alarming increase in call center fraud efforts. According to the 2021 State of Call Center Authentication survey, 57% of respondents preferred a thorough identification process before accepting calls.
Call validation becomes essential in light of security concerns. Customers may become irritated as a result, which could harm their overall satisfaction. IVAs, also known as intelligent IVRs, are being created to address this issue and provide several levels of security for user authentication. Future privacy and security concerns can be reduced by offering options for choosing trustworthy and privacy-compliant contact center solution providers.
The majority of firms, especially small and medium-sized businesses, with limited resources, find it difficult to install analytics solutions and provide financing for a specialized analytics workforce as the initial setup cost for analytics solutions can be significant. Smaller businesses are also constrained in their adoption of reliable PRI phone systems as they cannot afford the high implementation and upgrade expenses, pricey monthly phone services, and participation of long-term contracts with traditional telecom carriers for local and long-distance calling. The viability of cloud-based analytics solutions for organizations with constrained resources will rely on the organization's business model and level of cloud readiness.
During the projection period, the Contact Center Analytics Market in North America is projected to lead throughout the analysis period. A large number of existing and upcoming contact centers in the region are the primary factors driving the regional contact center analytics market.
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The USA is expected to account for the highest market of US$ 2 Billion by the end of 2032. Also, the market in the country is projected to account for an absolute dollar growth of US$ 1.5 Billion. According to a government assessment, the federal government's budget for civilian IT in 2019 was US$ 45 Billion.
The USA businesses are embracing hosted unified communication-as-a-service, which are managed by independent contractors using subscription-based packages that enable customers to purchase U.C. licenses and activate them as required. Additionally, the cost-effective services and quicker product development cycles offered by smaller providers may be advantageous to SMEs. Due to this, there is an increase in demand for cloud-based services which is also influencing the demand for Contact Center Analytics Market.
Market revenue through BFSI is forecasted to grow at a CAGR of over 16.0% from 2022 to 2032. The market expansion may be connected to the increasing need for contact centers among banks, financial institutions, credit unions, and other organizations to improve their customer experience. According to Deloitte, a significant portion nearly 26% of all contact centers used globally in 2019 were used for financial services. The two benefits that contact center analytics offers to BFSI businesses are reduced operational costs and greater call center volumes are the key growth drivers.
The market is estimated to expand over the course of the projected period as a result of the BFSI organizations' rising demand for speech analytics. Speech analytics helps banks prevent customer churn by analyzing and monitoring client interactions. Owing to their advantages, speech analytics is being used by several banks to enhance the client experience. For instance, in November 2020, the provider of speech analytics solutions CallMiner stated that African Bank had selected the CallMiner Eureka platform to collect data from voice-based client engagements. This project has helped the bank to boost its digital transformation activities.
Players in the market are constantly developing improved analytical solutions as well as extending their product offerings. The companies in Contact Center Analytics market are focused on alliances, technology collaborations, and product launch strategies.
Some of the recent developments of key Contact Center Analytics providers are as follows:
Similarly, recent developments related to companies in Contact Center Analytics Market have been tracked by the team at Future Market Insights, which are available in the full report.
The global Contact Center Analytics Market is worth more than US$ 1.5 Billion at present.
The value of Contact Center Analytics Market is projected to increase at a CAGR of around 16.2% from 2022 to 2032.
The value of Contact Center Analytics Market increased at a CAGR of around 19.1% from 2017 to 2021.
The demand for contact center analytics in BFSI has increased tremendously, which is a prominent market trend.
The growth of the Contact Center Analytics market in the US is projected to expand at a CAGR of around 14.9% from 2022 to 2032.
The growth of market for Contact Center Analytics in China is projected to expand at a CAGR of around 17.2% from 2022 to 2032.
While the market in South Korea is expected to grow at nearly 16.6%, the market in Japan is projected to register a CAGR of nearly 15.6% from 2022 to 2032.
1. Executive Summary | Contact Center Analytics Market 1.1. Global Market Outlook 1.2. Demand-side Trends 1.3. Supply-side Trends 1.4. Technology Roadmap Analysis 1.5. Analysis and Recommendations 2. Market Overview 2.1. Market Coverage / Taxonomy 2.2. Market Definition / Scope / Limitations 3. Market Background 3.1. Market Dynamics 3.1.1. Drivers 3.1.2. Restraints 3.1.3. Opportunity 3.1.4. Trends 3.2. Scenario Forecast 3.2.1. Demand in Optimistic Scenario 3.2.2. Demand in Likely Scenario 3.2.3. Demand in Conservative Scenario 3.3. Opportunity Map Analysis 3.4. Investment Feasibility Matrix 3.5. PESTLE and Porter’s Analysis 3.6. Regulatory Landscape 3.6.1. By Key Regions 3.6.2. By Key Countries 3.7. Regional Parent Market Outlook 4. Global Market Analysis 2017 to 2021 and Forecast, 2022 to 2032 4.1. Historical Market Size Value (US$ Million) Analysis, 2017 to 2021 4.2. Current and Future Market Size Value (US$ Million) Projections, 2022 to 2032 4.2.1. Y-o-Y Growth Trend Analysis 4.2.2. Absolute $ Opportunity Analysis 5. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Solution 5.1. Introduction / Key Findings 5.2. Historical Market Size Value (US$ Million) Analysis By Solution, 2017 to 2021 5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Solution, 2022 to 2032 5.3.1. Cross-channel Analytics 5.3.2. Performance Analytics 5.3.3. Predictive Analytics 5.3.4. Speech Analytics 5.3.5. Text Analytics 5.4. Y-o-Y Growth Trend Analysis By Solution, 2017 to 2021 5.5. Absolute $ Opportunity Analysis By Solution, 2022 to 2032 6. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Service 6.1. Introduction / Key Findings 6.2. Historical Market Size Value (US$ Million) Analysis By Service, 2017 to 2021 6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Service, 2022 to 2032 6.3.1. Integration & Deployment 6.3.2. Support & Maintenance 6.3.3. Training & Consulting 6.3.4. Managed Services 6.4. Y-o-Y Growth Trend Analysis By Service, 2017 to 2021 6.5. Absolute $ Opportunity Analysis By Service, 2022 to 2032 7. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Deployment 7.1. Introduction / Key Findings 7.2. Historical Market Size Value (US$ Million) Analysis By Deployment, 2017 to 2021 7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Deployment, 2022 to 2032 7.3.1. Hosted 7.3.2. On-premise 7.4. Y-o-Y Growth Trend Analysis By Deployment, 2017 to 2021 7.5. Absolute $ Opportunity Analysis By Deployment, 2022 to 2032 8. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Enterprise Size 8.1. Introduction / Key Findings 8.2. Historical Market Size Value (US$ Million) Analysis By Enterprise Size, 2017 to 2021 8.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Enterprise Size, 2022 to 2032 8.3.1. Large Enterprises 8.3.2. Small & Medium Enterprises 8.4. Y-o-Y Growth Trend Analysis By Enterprise Size, 2017 to 2021 8.5. Absolute $ Opportunity Analysis By Enterprise Size, 2022 to 2032 9. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Application 9.1. Introduction / Key Findings 9.2. Historical Market Size Value (US$ Million) Analysis By Application, 2017 to 2021 9.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Application, 2022 to 2032 9.3.1. Automatic Call Distributor 9.3.2. Customer Experience Management 9.3.3. Log Management 9.3.4. Real-time Monitoring & Reporting 9.3.5. Risk & Compliance Management 9.3.6. Workforce Optimization 9.3.7. Others 9.4. Y-o-Y Growth Trend Analysis By Application, 2017 to 2021 9.5. Absolute $ Opportunity Analysis By Application, 2022 to 2032 10. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By End Use 10.1. Introduction / Key Findings 10.2. Historical Market Size Value (US$ Million) Analysis By End Use, 2017 to 2021 10.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By End Use, 2022 to 2032 10.3.1. BFSI 10.3.2. Consumer Goods & Retail 10.3.3. Government 10.3.4. Healthcare 10.3.5. IT & Telecom 10.3.6. Travel & Hospitality 10.3.7. Others 10.4. Y-o-Y Growth Trend Analysis By End Use, 2017 to 2021 10.5. Absolute $ Opportunity Analysis By End Use, 2022 to 2032 11. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Region 11.1. Introduction 11.2. Historical Market Size Value (US$ Million) Analysis By Region, 2017 to 2021 11.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2022 to 2032 11.3.1. North America 11.3.2. Latin America 11.3.3. Europe 11.3.4. Asia Pacific 11.3.5. Middle East and Africa (MEA) 11.4. Market Attractiveness Analysis By Region 12. North America Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country 12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2017 to 2021 12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2022 to 2032 12.2.1. By Country 12.2.1.1. United States of America 12.2.1.2. Canada 12.2.2. By Solution 12.2.3. By Service 12.2.4. By Deployment 12.2.5. By Enterprise Size 12.2.6. By Application 12.2.7. By End Use 12.3. Market Attractiveness Analysis 12.3.1. By Country 12.3.2. By Solution 12.3.3. By Service 12.3.4. By Deployment 12.3.5. By Enterprise Size 12.3.6. By Application 12.3.7. By End Use 12.4. Key Takeaways 13. Latin America Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country 13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2017 to 2021 13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2022 to 2032 13.2.1. By Country 13.2.1.1. Brazil 13.2.1.2. Mexico 13.2.1.3. Rest of Latin America 13.2.2. By Solution 13.2.3. By Service 13.2.4. By Deployment 13.2.5. By Enterprise Size 13.2.6. By Application 13.2.7. By End Use 13.3. Market Attractiveness Analysis 13.3.1. By Country 13.3.2. By Solution 13.3.3. By Service 13.3.4. By Deployment 13.3.5. By Enterprise Size 13.3.6. By Application 13.3.7. By End Use 13.4. Key Takeaways 14. Europe Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country 14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2017 to 2021 14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2022 to 2032 14.2.1. By Country 14.2.1.1. Germany 14.2.1.2. United Kingdom 14.2.1.3. France 14.2.1.4. Spain 14.2.1.5. Italy 14.2.1.6. Rest of Europe 14.2.2. By Solution 14.2.3. By Service 14.2.4. By Deployment 14.2.5. By Enterprise Size 14.2.6. By Application 14.2.7. By End Use 14.3. Market Attractiveness Analysis 14.3.1. By Country 14.3.2. By Solution 14.3.3. By Service 14.3.4. By Deployment 14.3.5. By Enterprise Size 14.3.6. By Application 14.3.7. By End Use 14.4. Key Takeaways 15. Asia Pacific Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country 15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2017 to 2021 15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2022 to 2032 15.2.1. By Country 15.2.1.1. China 15.2.1.2. Japan 15.2.1.3. South Korea 15.2.1.4. India 15.2.1.5. Malaysia 15.2.1.6. Singapore 15.2.1.7. Australia 15.2.1.8. New Zealand 15.2.1.9. Rest of APAC 15.2.2. By Solution 15.2.3. By Service 15.2.4. By Deployment 15.2.5. By Enterprise Size 15.2.6. By Application 15.2.7. By End Use 15.3. Market Attractiveness Analysis 15.3.1. By Country 15.3.2. By Solution 15.3.3. By Service 15.3.4. By Deployment 15.3.5. By Enterprise Size 15.3.6. By Application 15.3.7. By End Use 15.4. Key Takeaways 16. MEA Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country 16.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2017 to 2021 16.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2022 to 2032 16.2.1. By Country 16.2.1.1. GCC Countries 16.2.1.2. South Africa 16.2.1.3. Israel 16.2.1.4. Rest of MEA 16.2.2. By Solution 16.2.3. By Service 16.2.4. By Deployment 16.2.5. By Enterprise Size 16.2.6. By Application 16.2.7. By End Use 16.3. Market Attractiveness Analysis 16.3.1. By Country 16.3.2. By Solution 16.3.3. By Service 16.3.4. By Deployment 16.3.5. By Enterprise Size 16.3.6. By Application 16.3.7. By End Use 16.4. Key Takeaways 17. Key Countries Market Analysis 17.1. United States of America 17.1.1. Pricing Analysis 17.1.2. Market Share Analysis, 2021 17.1.2.1. By Solution 17.1.2.2. By Service 17.1.2.3. By Deployment 17.1.2.4. By Enterprise Size 17.1.2.5. By Application 17.1.2.6. By End Use 17.2. Canada 17.2.1. Pricing Analysis 17.2.2. Market Share Analysis, 2021 17.2.2.1. By Solution 17.2.2.2. By Service 17.2.2.3. By Deployment 17.2.2.4. By Enterprise Size 17.2.2.5. By Application 17.2.2.6. By End Use 17.3. Brazil 17.3.1. Pricing Analysis 17.3.2. Market Share Analysis, 2021 17.3.2.1. By Solution 17.3.2.2. By Service 17.3.2.3. By Deployment 17.3.2.4. By Enterprise Size 17.3.2.5. By Application 17.3.2.6. By End Use 17.4. Mexico 17.4.1. Pricing Analysis 17.4.2. Market Share Analysis, 2021 17.4.2.1. By Solution 17.4.2.2. By Service 17.4.2.3. By Deployment 17.4.2.4. By Enterprise Size 17.4.2.5. By Application 17.4.2.6. By End Use 17.5. Germany 17.5.1. Pricing Analysis 17.5.2. Market Share Analysis, 2021 17.5.2.1. By Solution 17.5.2.2. By Service 17.5.2.3. By Deployment 17.5.2.4. By Enterprise Size 17.5.2.5. By Application 17.5.2.6. By End Use 17.6. United Kingdom 17.6.1. Pricing Analysis 17.6.2. Market Share Analysis, 2021 17.6.2.1. By Solution 17.6.2.2. By Service 17.6.2.3. By Deployment 17.6.2.4. By Enterprise Size 17.6.2.5. By Application 17.6.2.6. By End Use 17.7. France 17.7.1. Pricing Analysis 17.7.2. Market Share Analysis, 2021 17.7.2.1. By Solution 17.7.2.2. By Service 17.7.2.3. By Deployment 17.7.2.4. By Enterprise Size 17.7.2.5. By Application 17.7.2.6. By End Use 17.8. Spain 17.8.1. Pricing Analysis 17.8.2. Market Share Analysis, 2021 17.8.2.1. By Solution 17.8.2.2. By Service 17.8.2.3. By Deployment 17.8.2.4. By Enterprise Size 17.8.2.5. By Application 17.8.2.6. By End Use 17.9. Italy 17.9.1. Pricing Analysis 17.9.2. Market Share Analysis, 2021 17.9.2.1. By Solution 17.9.2.2. By Service 17.9.2.3. By Deployment 17.9.2.4. By Enterprise Size 17.9.2.5. By Application 17.9.2.6. By End Use 17.10. China 17.10.1. Pricing Analysis 17.10.2. Market Share Analysis, 2021 17.10.2.1. By Solution 17.10.2.2. By Service 17.10.2.3. By Deployment 17.10.2.4. By Enterprise Size 17.10.2.5. By Application 17.10.2.6. By End Use 17.11. Japan 17.11.1. Pricing Analysis 17.11.2. Market Share Analysis, 2021 17.11.2.1. By Solution 17.11.2.2. By Service 17.11.2.3. By Deployment 17.11.2.4. By Enterprise Size 17.11.2.5. By Application 17.11.2.6. By End Use 17.12. South Korea 17.12.1. Pricing Analysis 17.12.2. Market Share Analysis, 2021 17.12.2.1. By Solution 17.12.2.2. By Service 17.12.2.3. By Deployment 17.12.2.4. By Enterprise Size 17.12.2.5. By Application 17.12.2.6. By End Use 17.13. Malaysia 17.13.1. Pricing Analysis 17.13.2. Market Share Analysis, 2021 17.13.2.1. By Solution 17.13.2.2. By Service 17.13.2.3. By Deployment 17.13.2.4. By Enterprise Size 17.13.2.5. By Application 17.13.2.6. By End Use 17.14. Singapore 17.14.1. Pricing Analysis 17.14.2. Market Share Analysis, 2021 17.14.2.1. By Solution 17.14.2.2. By Service 17.14.2.3. By Deployment 17.14.2.4. By Enterprise Size 17.14.2.5. By Application 17.14.2.6. By End Use 17.15. Australia 17.15.1. Pricing Analysis 17.15.2. Market Share Analysis, 2021 17.15.2.1. By Solution 17.15.2.2. By Service 17.15.2.3. By Deployment 17.15.2.4. By Enterprise Size 17.15.2.5. By Application 17.15.2.6. By End Use 17.16. New Zealand 17.16.1. Pricing Analysis 17.16.2. Market Share Analysis, 2021 17.16.2.1. By Solution 17.16.2.2. By Service 17.16.2.3. By Deployment 17.16.2.4. By Enterprise Size 17.16.2.5. By Application 17.16.2.6. By End Use 17.17. GCC Countries 17.17.1. Pricing Analysis 17.17.2. Market Share Analysis, 2021 17.17.2.1. By Solution 17.17.2.2. By Service 17.17.2.3. By Deployment 17.17.2.4. By Enterprise Size 17.17.2.5. By Application 17.17.2.6. By End Use 17.18. South Africa 17.18.1. Pricing Analysis 17.18.2. Market Share Analysis, 2021 17.18.2.1. By Solution 17.18.2.2. By Service 17.18.2.3. By Deployment 17.18.2.4. By Enterprise Size 17.18.2.5. By Application 17.18.2.6. By End Use 17.19. Israel 17.19.1. Pricing Analysis 17.19.2. Market Share Analysis, 2021 17.19.2.1. By Solution 17.19.2.2. By Service 17.19.2.3. By Deployment 17.19.2.4. By Enterprise Size 17.19.2.5. By Application 17.19.2.6. By End Use 18. Market Structure Analysis 18.1. Competition Dashboard 18.2. Competition Benchmarking 18.3. Market Share Analysis of Top Players 18.3.1. By Regional 18.3.2. By Solution 18.3.3. By Service 18.3.4. By Deployment 18.3.5. By Enterprise Size 18.3.6. By Application 18.3.7. By End Use 19. Competition Analysis 19.1. Competition Deep Dive 19.1.1. 8X8 Inc. 19.1.1.1. Overview 19.1.1.2. Product Portfolio 19.1.1.3. Profitability by Market Segments 19.1.1.4. Sales Footprint 19.1.1.5. Strategy Overview 19.1.1.5.1. Marketing Strategy 19.1.2. CallMiner 19.1.2.1. Overview 19.1.2.2. Product Portfolio 19.1.2.3. Profitability by Market Segments 19.1.2.4. Sales Footprint 19.1.2.5. Strategy Overview 19.1.2.5.1. Marketing Strategy 19.1.3. Cisco Systems, Inc. 19.1.3.1. Overview 19.1.3.2. Product Portfolio 19.1.3.3. Profitability by Market Segments 19.1.3.4. Sales Footprint 19.1.3.5. Strategy Overview 19.1.3.5.1. Marketing Strategy 19.1.4. Enghouse Interactive 19.1.4.1. Overview 19.1.4.2. Product Portfolio 19.1.4.3. Profitability by Market Segments 19.1.4.4. Sales Footprint 19.1.4.5. Strategy Overview 19.1.4.5.1. Marketing Strategy 19.1.5. Five9, Inc. 19.1.5.1. Overview 19.1.5.2. Product Portfolio 19.1.5.3. Profitability by Market Segments 19.1.5.4. Sales Footprint 19.1.5.5. Strategy Overview 19.1.5.5.1. Marketing Strategy 19.1.6. Genesys 19.1.6.1. Overview 19.1.6.2. Product Portfolio 19.1.6.3. Profitability by Market Segments 19.1.6.4. Sales Footprint 19.1.6.5. Strategy Overview 19.1.6.5.1. Marketing Strategy 19.1.7. Genpact Ltd. 19.1.7.1. Overview 19.1.7.2. Product Portfolio 19.1.7.3. Profitability by Market Segments 19.1.7.4. Sales Footprint 19.1.7.5. Strategy Overview 19.1.7.5.1. Marketing Strategy 19.1.8. Mitel Networks Corp. 19.1.8.1. Overview 19.1.8.2. Product Portfolio 19.1.8.3. Profitability by Market Segments 19.1.8.4. Sales Footprint 19.1.8.5. Strategy Overview 19.1.8.5.1. Marketing Strategy 19.1.9. Nice Ltd. 19.1.9.1. Overview 19.1.9.2. Product Portfolio 19.1.9.3. Profitability by Market Segments 19.1.9.4. Sales Footprint 19.1.9.5. Strategy Overview 19.1.9.5.1. Marketing Strategy 19.1.10. Oracle Corp. 19.1.10.1. Overview 19.1.10.2. Product Portfolio 19.1.10.3. Profitability by Market Segments 19.1.10.4. Sales Footprint 19.1.10.5. Strategy Overview 19.1.10.5.1. Marketing Strategy 19.1.11. SAP SE 19.1.11.1. Overview 19.1.11.2. Product Portfolio 19.1.11.3. Profitability by Market Segments 19.1.11.4. Sales Footprint 19.1.11.5. Strategy Overview 19.1.11.5.1. Marketing Strategy 19.1.12. Verint Systems Inc. 19.1.12.1. Overview 19.1.12.2. Product Portfolio 19.1.12.3. Profitability by Market Segments 19.1.12.4. Sales Footprint 19.1.12.5. Strategy Overview 19.1.12.5.1. Marketing Strategy 20. Assumptions & Acronyms Used 21. Research Methodology
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Contact Center Analytics Market
