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Conversation Intelligence Software Market Outlook

The Conversation intelligence software market is capturing a valuation of US$ 22.8 billion in 2023 and is predicted to reach US$ 46.8 billion by 2033. The market is registering a CAGR of 7.4% during the forecast period. Increasing demand for AI-powered customer support services is expected to be the most significant factor driving the market in the forecast period.

Increasing customer engagement through various social media platforms is likely to give several opportunities for expansion to players in the forecast period. Also, rising demand for better customer support among industries like media and entertainment, BFSI, and others, is projected to augment the market size by 2033.

Attribute Details
Market CAGR (2023 to 2033) 7.4%
Market Valuation (2023) US$ 22.8 billion
Market Valuation (2033) US$ 46.8 billion

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What are the Significant Factors Driving the Global Conversation Intelligence Software Market?

Growing Demand for AI-Powered Customer Support Services to Augment the Market Size

The conversation AI market is expected to garner significant market value during the forecast period owing to the rise in demand for AI-powered customer support services.

An increase in demand for AI-based Gartner chatbots is projected to be another salient factor propelling the market growth in the forecast period. Also, the rise in demand can be attributed to the growing requirement for AI-based chatbots to stay informed during COVID-19.

The growing focus on customer engagement is anticipated to play an important role in strengthening the industry's growth in the forecast period. Moreover, increased deployment of Omni channel methods is anticipated to positively impact the market in the coming time.

With automation, firms can obtain high productivity with less manual power. Per LivePerson, a ConversationAI solution provider, customers spend 80% of their time messaging through their devices. In addition, about 57 billion conversations occur every year globally in contact centers, and US$ 1.2 trillion is spent on voice calls in centers worldwide.

What are the Restraining Factors in the Global Conversation Intelligence Software Market?

The adoption of conversation AI solutions is rising across various spheres since it offers services such as customer services and other productive engagement models. On the other hand, consumers lack knowledge about chatbots, digital personal assistants, virtual assistants, and other benefits.

The lack of accuracy in chatbots and virtual assistants is another cause hampering the rise in the market during the forecast period. Chatbots and virtual assistants are likely to take some more time to offer accuracy, which could be at par with humans.

India and Brazil are large consumers of smartphones. However, the awareness of such technologies is much less than in developed nations. A recent study conducted by HubSpot reveals that there is only 37% of AI awareness among consumers. 63% of consumers do not realize that they are using AI technologies.

SMEs in developing nations are reluctant to adopt virtual assistance for their business processes, in turn hindering market growth during the forecast period.

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What are Emerging Opportunities in the Global Market?

Increasing usage of AI and NLP technologies has made organizations capable of building smart agents and performing tasks integrated with other various platforms.

There is an emerging opportunity for integrating new specifications, such as gesture recognition, in conversation AI offerings. Enabling gesture recognition capabilities within conversation AI allows users to monitor conversation devices without speaking or touching. Established players in the market are taking various efforts to add innovation to the software. For instance,

  • Google announced support for seven new languages for actions on Google Assistant. After this update, the company now offers 16 languages, and developers can implement new actions using Dialogflow and its NLP capabilities.

Conversation Intelligence Software Market, 2018 to 2022 Historical Sales, Compared to 2023 to 2033 Future Outlook

The market was valued at US$ 17.5 billion in 2018 and US$ 21.6 billion in 2022, with a CAGR of 5.3%. The market is driven by increasing demand for voice-enabled devices, artificial intelligence, and virtual assistance among end-user industries. These industries are retail, real estate, Information Technology, and others.

The rising adoption of artificial intelligence solutions in businesses to enhance customer services and operational efficiency fueled the global market. Furthermore, conversation artificial intelligence can automate business processes to reduce costs and value-added activities and free up human resources.

The global market grew at a moderate pace in the historical period and is estimated to grow by capturing huge revenue during the forecast period.

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Comparative Analysis of the Adjacent Conversation Intelligence Software Market

Conversation Intelligence Software Market:

Attributes Conversation Intelligence Software Market
CAGR (2023 to 2033) 7.4%
Value (2023) US$ 22.8 billion
Value (2033) US$ 46.8 billion
Trends Surging demand for AI-based chatbots for enhanced customer engagement is anticipated to propel the market in the forecast period.
Opportunities The growing usage of AI and NLP technologies is expected to offer significant opportunities to the players. Integration of new specifications such as gesture recognition is an emerging opportunity for the players.

Blockchain AI Market:

Attributes Blockchain AI Market
CAGR (2023 to 2033) 68%
Value (2023) US$ 0.01 billion
Value (2033) US$ 2.10 billion
Trends Increasing venture capital funding in blockchain technology and the significantly rising adoption of blockchain solutions for smart contracts, payment, and digital identities are expected to boost the market growth.
Opportunities Integration of blockchain, IoT, and AI is expected to offer significant market opportunities for market growth in the coming time.

AI-Powered Storage Market:

Attributes AI-Powered Storage Market
CAGR (2023 to 2033) 18.9%
Value (2023) US$ 25.27 billion
Value (2033) US$ 142.68 billion
Trends An increasing number of connected devices and the growing adoption of cloud-based services are projected to be key factors driving the market in the forecast period.
Opportunities Increasing usage of AI-powered storage in the BFSI sector is expected to offer significant opportunities to the vendors in the assessment period.

What is the Segmentation Analysis of the Global Conversation Intelligence Software Market?

Based on deployment mode, the global market can be segmented into cloud-based and on-premise. The global market can be segmented based on end-users into SMEs and Large Enterprises. Based on vertical, the global market can be segmented into IT & Telecommunications, retail, BFSI, Real Estate, and others.

According to the analysis, the cloud-based segment is expected to garner a notable market share by deployment mode. The segment is anticipated to exhibit a CAGR of 7.8% during the forecast period. Moreover, the segment's growth can be attributed to its efficiency, and it offers strategically driven insights. It can automate complex and repetitive tasks to enhance productivity.

By vertical, the BFSI is estimated to exhibit a 6.6% CAGR during the forecast period. The segment's growth can be attributed to the presence of various opportunities. The sector is widely opting for modern analytics. Also, the growing deployment of AI in the banking sector has propelled the demand for other services, such as payment gateways, digital wallets, and others.

What is the Regional Analysis of the Global Conversation Intelligence Software Market?

With the rising demand for better customer support service to develop customer retention initiatives, North America is expected to dominate the market in the forecast period. According to analysis, the United States is anticipated to participate significantly in strengthening the regional market.

The country is likely to garner US$ 15.5 billion, recording a CAGR of 7% during the forecast period. Players in the country are taking various initiatives that are likely to benefit the market in the country. For instance,

  • In March 2022, Invoca announced Invoca for Healthcare, a new conversation intelligence solution that aids healthcare organizations in growing patient acquisition, enhancing access to care, and offering fine-quality patient-first experiences.

The United States is securing a share of 17.6% in the global market during the forecast period.

Regarding market size, Europe is anticipated to secure the second position in the global market. The region's expansion can be attributed to the increasing demand for lessening organizations' workloads regarding customer engagement and retention.

As per the analysis, the United Kingdom is likely to significantly contribute to developing the regional market and is anticipated to garner US$ 1.8 billion in 2032 while exhibiting a CAGR of 6.6% from 2023 to 2033.

Europe is estimated to capture a share of 22.1% of the global market by 2033. However, the United Kingdom is estimated to register a CAGR of 6.4% during the forecast period.

Asia Pacific is projected to be a notably growing region during the forecast period. The growth of the regional market can be attributed to the presence of significantly evolving countries. Additionally, increasing research and development initiatives among players are expected to augment the market size in the region. For instance,

  • In March 2022, Kore.ai opened its global research and development center in Hyderabad to ramp up hiring.

The participation of China, India, South Korea, and Japan is significant, propelling the market growth in the forecast period. As per the analysis, China is estimated at US$ 3 billion while exhibiting a CAGR of 6.8% during the forecast period.

Japan is anticipated to reach US$ 2.4 billion while recording a growth rate of 5.7% by 2032, while South Korea is observed at US$ 1.4 billion, flourishing at a CAGR of 5.1% in the assessment period. India is capturing a CAGR of 8.1% in the global market by 2033.

What is the Contribution of Key Players to the Global Conversation Intelligence Software Market?

Key players in the global market include AffectLayer Inc, Active.ai, Avaamo, CallRail Inc, and Avoma Inc. These key players are vital in expanding the global market by developing unique and innovative products. Key players invest much in research and development activities to offer improved products as per consumers' requirements.

Key players are adopting several marketing tactics to upsurge the global market such as mergers, collaborations, acquisitions, product launches, and agreements.

Other Prominent Players Working in the Global Market

  • Active.ai
  • AffectLayer Inc.
  • Avaamo
  • Avoma Inc.
  • CallRail Inc.
  • Cogito Corporation
  • ExecVision Inc.
  • Gong.io
  • Invoca
  • KreatoSoftware Inc.
  • Netcore Solutions
  • Refract Software Ltd.

Recent Developments in the Global Market:

  • In April 2021, Microsoft announced the acquisition of Nuance Communications. Nuance Communications is an AI-based technology company. The transaction took place for USD 19.7 billion in cash. The initiative is estimated to increase Microsoft’s capabilities in voice recognition and transcription technology.
  • In September 2021, Astro, a new robot was disclosed. It was principally designed to help customers with certain tasks such as home monitoring and keeping in touch with family.
  • In September 2021, Baidu and China Gas Holdings inked an agreement to drive digital and intelligent transformation in the energy and power sector with unique solutions based on Baidu AI Cloud.

Scope of Report

Attribute Details
Forecast Period 2023 to 2033
Historical Data Available for 2018 to 2022
Market Analysis US$ billion for Value
Key Countries Covered The United States, The United Kingdom, Japan, India, China, Australia, Germany
Key Segments Covered
  • Deployment
  • End User
  • Verticle
  • Region
Key Companies Profiled
  • Active.ai
  • AffectLayer Inc.
  • Avaamo
  • Avoma Inc.
  • CallRail Inc.
  • Cogito Corporation
  • ExecVision Inc.
  • Gong.io
  • Invoca
  • KreatoSoftware Inc.
  • Netcore Solutions
  • Refract Software Ltd.
Report Coverage Market Forecast, Company Share Analysis, Competition Intelligence, DROT Analysis, Market Dynamics and Challenges, and Strategic Growth Initiatives
Customization & Pricing Available upon Request

Conversation Intelligence Software Market by Category

By Deployment:

  • On-premise
  • Cloud-based

By End Users:

  • SMEs
  • Large Enterprises

By Vertical:

  • IT & Telecommunications
  • Retail
  • BFSI
  • Real Estate
  • Other Verticals

By Region:

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

Frequently Asked Questions

What trends are shaping the growth of the conversation intelligence software market?

Trends include the rise of remote work, the importance of data-driven decision-making, and the integration of AI and natural language processing (NLP) technologies.

In which industries is conversation intelligence software being applied?

It's used across industries, including sales, customer support, call centers, and marketing, to enhance communication effectiveness.

How does AI-driven analysis enhance conversation intelligence?

AI algorithms can identify patterns in conversations, extract insights, and provide recommendations for improving communication and customer interactions.

What insights can organizations gain from conversation intelligence?

Insights include understanding customer pain points, competitor mentions, successful sales techniques, and compliance monitoring.

What challenges does the conversation intelligence software market face?

Challenges include handling large volumes of data, ensuring data privacy and security, and providing accurate sentiment analysis across various languages and dialects.

Table of Content

1. Executive Summary

    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 2018 to 2022 and Forecast, 2023 to 2033

    4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022

    4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033

        4.2.1. Y-o-Y Growth Trend Analysis

        4.2.2. Absolute $ Opportunity Analysis

5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Deployment

    5.1. Introduction / Key Findings

    5.2. Historical Market Size Value (US$ Million) Analysis By Deployment, 2018 to 2022

    5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Deployment, 2023 to 2033

        5.3.1. On-premise

        5.3.2. Cloud-based

    5.4. Y-o-Y Growth Trend Analysis By Deployment, 2018 to 2022

    5.5. Absolute $ Opportunity Analysis By Deployment, 2023 to 2033

6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By End Users

    6.1. Introduction / Key Findings

    6.2. Historical Market Size Value (US$ Million) Analysis By End Users, 2018 to 2022

    6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By End Users, 2023 to 2033

        6.3.1. SMEs

        6.3.2. Large Enterprises

    6.4. Y-o-Y Growth Trend Analysis By End Users, 2018 to 2022

    6.5. Absolute $ Opportunity Analysis By End Users, 2023 to 2033

7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Vertical

    7.1. Introduction / Key Findings

    7.2. Historical Market Size Value (US$ Million) Analysis by Vertical, 2018 to 2022

    7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast by Vertical, 2023 to 2033

        7.3.1. IT & Telecommunications

        7.3.2. Retail

        7.3.3. BFSI

        7.3.4. Real Estate

        7.3.5. Others

    7.4. Y-o-Y Growth Trend Analysis by Vertical, 2018 to 2022

    7.5. Absolute $ Opportunity Analysis by Vertical, 2023 to 2033

8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region

    8.1. Introduction

    8.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022

    8.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033

        8.3.1. North America

        8.3.2. Latin America

        8.3.3. Europe

        8.3.4. South Asia

        8.3.5. East Asia

        8.3.6. Oceania

        8.3.7. MEA

    8.4. Market Attractiveness Analysis By Region

9. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country

    9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        9.2.1. By Country

            9.2.1.1. The USA

            9.2.1.2. Canada

        9.2.2. By Deployment

        9.2.3. By End Users

        9.2.4. By Vertical

    9.3. Market Attractiveness Analysis

        9.3.1. By Country

        9.3.2. By Deployment

        9.3.3. By End Users

        9.3.4. By Vertical

    9.4. Key Takeaways

10. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country

    10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        10.2.1. By Country

            10.2.1.1. Brazil

            10.2.1.2. Mexico

            10.2.1.3. Rest of Latin America

        10.2.2. By Deployment

        10.2.3. By End Users

        10.2.4. By Vertical

    10.3. Market Attractiveness Analysis

        10.3.1. By Country

        10.3.2. By Deployment

        10.3.3. By End Users

        10.3.4. By Vertical

    10.4. Key Takeaways

11. Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country

    11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        11.2.1. By Country

            11.2.1.1. Germany

            11.2.1.2. United Kingdom

            11.2.1.3. France

            11.2.1.4. Spain

            11.2.1.5. Italy

            11.2.1.6. Rest of Europe

        11.2.2. By Deployment

        11.2.3. By End Users

        11.2.4. By Vertical

    11.3. Market Attractiveness Analysis

        11.3.1. By Country

        11.3.2. By Deployment

        11.3.3. By End Users

        11.3.4. By Vertical

    11.4. Key Takeaways

12. South Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country

    12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        12.2.1. By Country

            12.2.1.1. India

            12.2.1.2. Malaysia

            12.2.1.3. Singapore

            12.2.1.4. Thailand

            12.2.1.5. Rest of South Asia

        12.2.2. By Deployment

        12.2.3. By End Users

        12.2.4. By Vertical

    12.3. Market Attractiveness Analysis

        12.3.1. By Country

        12.3.2. By Deployment

        12.3.3. By End Users

        12.3.4. By Vertical

    12.4. Key Takeaways

13. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country

    13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        13.2.1. By Country

            13.2.1.1. China

            13.2.1.2. Japan

            13.2.1.3. South Korea

        13.2.2. By Deployment

        13.2.3. By End Users

        13.2.4. By Vertical

    13.3. Market Attractiveness Analysis

        13.3.1. By Country

        13.3.2. By Deployment

        13.3.3. By End Users

        13.3.4. By Vertical

    13.4. Key Takeaways

14. Oceania Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country

    14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        14.2.1. By Country

            14.2.1.1. Australia

            14.2.1.2. New Zealand

        14.2.2. By Deployment

        14.2.3. By End Users

        14.2.4. By Vertical

    14.3. Market Attractiveness Analysis

        14.3.1. By Country

        14.3.2. By Deployment

        14.3.3. By End Users

        14.3.4. By Vertical

    14.4. Key Takeaways

15. MEA Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country

    15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022

    15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033

        15.2.1. By Country

            15.2.1.1. GCC Countries

            15.2.1.2. South Africa

            15.2.1.3. Israel

            15.2.1.4. Rest of MEA

        15.2.2. By Deployment

        15.2.3. By End Users

        15.2.4. By Vertical

    15.3. Market Attractiveness Analysis

        15.3.1. By Country

        15.3.2. By Deployment

        15.3.3. By End Users

        15.3.4. By Vertical

    15.4. Key Takeaways

16. Key Countries Market Analysis

    16.1. USA

        16.1.1. Pricing Analysis

        16.1.2. Market Share Analysis, 2022

            16.1.2.1. By Deployment

            16.1.2.2. By End Users

            16.1.2.3. By Vertical

    16.2. Canada

        16.2.1. Pricing Analysis

        16.2.2. Market Share Analysis, 2022

            16.2.2.1. By Deployment

            16.2.2.2. By End Users

            16.2.2.3. By Vertical

    16.3. Brazil

        16.3.1. Pricing Analysis

        16.3.2. Market Share Analysis, 2022

            16.3.2.1. By Deployment

            16.3.2.2. By End Users

            16.3.2.3. By Vertical

    16.4. Mexico

        16.4.1. Pricing Analysis

        16.4.2. Market Share Analysis, 2022

            16.4.2.1. By Deployment

            16.4.2.2. By End Users

            16.4.2.3. By Vertical

    16.5. Germany

        16.5.1. Pricing Analysis

        16.5.2. Market Share Analysis, 2022

            16.5.2.1. By Deployment

            16.5.2.2. By End Users

            16.5.2.3. By Vertical

    16.6. United Kingdom

        16.6.1. Pricing Analysis

        16.6.2. Market Share Analysis, 2022

            16.6.2.1. By Deployment

            16.6.2.2. By End Users

            16.6.2.3. By Vertical

    16.7. France

        16.7.1. Pricing Analysis

        16.7.2. Market Share Analysis, 2022

            16.7.2.1. By Deployment

            16.7.2.2. By End Users

            16.7.2.3. By Vertical

    16.8. Spain

        16.8.1. Pricing Analysis

        16.8.2. Market Share Analysis, 2022

            16.8.2.1. By Deployment

            16.8.2.2. By End Users

            16.8.2.3. By Vertical

    16.9. Italy

        16.9.1. Pricing Analysis

        16.9.2. Market Share Analysis, 2022

            16.9.2.1. By Deployment

            16.9.2.2. By End Users

            16.9.2.3. By Vertical

    16.10. India

        16.10.1. Pricing Analysis

        16.10.2. Market Share Analysis, 2022

            16.10.2.1. By Deployment

            16.10.2.2. By End Users

            16.10.2.3. By Vertical

    16.11. Malaysia

        16.11.1. Pricing Analysis

        16.11.2. Market Share Analysis, 2022

            16.11.2.1. By Deployment

            16.11.2.2. By End Users

            16.11.2.3. By Vertical

    16.12. Singapore

        16.12.1. Pricing Analysis

        16.12.2. Market Share Analysis, 2022

            16.12.2.1. By Deployment

            16.12.2.2. By End Users

            16.12.2.3. By Vertical

    16.13. Thailand

        16.13.1. Pricing Analysis

        16.13.2. Market Share Analysis, 2022

            16.13.2.1. By Deployment

            16.13.2.2. By End Users

            16.13.2.3. By Vertical

    16.14. China

        16.14.1. Pricing Analysis

        16.14.2. Market Share Analysis, 2022

            16.14.2.1. By Deployment

            16.14.2.2. By End Users

            16.14.2.3. By Vertical

    16.15. Japan

        16.15.1. Pricing Analysis

        16.15.2. Market Share Analysis, 2022

            16.15.2.1. By Deployment

            16.15.2.2. By End Users

            16.15.2.3. By Vertical

    16.16. South Korea

        16.16.1. Pricing Analysis

        16.16.2. Market Share Analysis, 2022

            16.16.2.1. By Deployment

            16.16.2.2. By End Users

            16.16.2.3. By Vertical

    16.17. Australia

        16.17.1. Pricing Analysis

        16.17.2. Market Share Analysis, 2022

            16.17.2.1. By Deployment

            16.17.2.2. By End Users

            16.17.2.3. By Vertical

    16.18. New Zealand

        16.18.1. Pricing Analysis

        16.18.2. Market Share Analysis, 2022

            16.18.2.1. By Deployment

            16.18.2.2. By End Users

            16.18.2.3. By Vertical

    16.19. GCC Countries

        16.19.1. Pricing Analysis

        16.19.2. Market Share Analysis, 2022

            16.19.2.1. By Deployment

            16.19.2.2. By End Users

            16.19.2.3. By Vertical

    16.20. South Africa

        16.20.1. Pricing Analysis

        16.20.2. Market Share Analysis, 2022

            16.20.2.1. By Deployment

            16.20.2.2. By End Users

            16.20.2.3. By Vertical

    16.21. Israel

        16.21.1. Pricing Analysis

        16.21.2. Market Share Analysis, 2022

            16.21.2.1. By Deployment

            16.21.2.2. By End Users

            16.21.2.3. By Vertical

17. Market Structure Analysis

    17.1. Competition Dashboard

    17.2. Competition Benchmarking

    17.3. Market Share Analysis of Top Players

        17.3.1. By Regional

        17.3.2. By Deployment

        17.3.3. By End Users

        17.3.4. By Vertical

18. Competition Analysis

    18.1. Competition Deep Dive

        18.1.1. Active.ai

            18.1.1.1. Overview

            18.1.1.2. Product Portfolio

            18.1.1.3. Profitability by Market Segments

            18.1.1.4. Sales Footprint

            18.1.1.5. Strategy Overview

                18.1.1.5.1. Marketing Strategy

        18.1.2. AffectLayer Inc.

            18.1.2.1. Overview

            18.1.2.2. Product Portfolio

            18.1.2.3. Profitability by Market Segments

            18.1.2.4. Sales Footprint

            18.1.2.5. Strategy Overview

                18.1.2.5.1. Marketing Strategy

        18.1.3. Avaamo

            18.1.3.1. Overview

            18.1.3.2. Product Portfolio

            18.1.3.3. Profitability by Market Segments

            18.1.3.4. Sales Footprint

            18.1.3.5. Strategy Overview

                18.1.3.5.1. Marketing Strategy

        18.1.4. Avoma Inc.

            18.1.4.1. Overview

            18.1.4.2. Product Portfolio

            18.1.4.3. Profitability by Market Segments

            18.1.4.4. Sales Footprint

            18.1.4.5. Strategy Overview

                18.1.4.5.1. Marketing Strategy

        18.1.5. CallRail Inc.

            18.1.5.1. Overview

            18.1.5.2. Product Portfolio

            18.1.5.3. Profitability by Market Segments

            18.1.5.4. Sales Footprint

            18.1.5.5. Strategy Overview

                18.1.5.5.1. Marketing Strategy

        18.1.6. Cogito Corporation

            18.1.6.1. Overview

            18.1.6.2. Product Portfolio

            18.1.6.3. Profitability by Market Segments

            18.1.6.4. Sales Footprint

            18.1.6.5. Strategy Overview

                18.1.6.5.1. Marketing Strategy

        18.1.7. ExecVision Inc.

            18.1.7.1. Overview

            18.1.7.2. Product Portfolio

            18.1.7.3. Profitability by Market Segments

            18.1.7.4. Sales Footprint

            18.1.7.5. Strategy Overview

                18.1.7.5.1. Marketing Strategy

        18.1.8. Gong.io

            18.1.8.1. Overview

            18.1.8.2. Product Portfolio

            18.1.8.3. Profitability by Market Segments

            18.1.8.4. Sales Footprint

            18.1.8.5. Strategy Overview

                18.1.8.5.1. Marketing Strategy

        18.1.9. Invoca

            18.1.9.1. Overview

            18.1.9.2. Product Portfolio

            18.1.9.3. Profitability by Market Segments

            18.1.9.4. Sales Footprint

            18.1.9.5. Strategy Overview

                18.1.9.5.1. Marketing Strategy

        18.1.10. KreatoSoftware Inc.

            18.1.10.1. Overview

            18.1.10.2. Product Portfolio

            18.1.10.3. Profitability by Market Segments

            18.1.10.4. Sales Footprint

            18.1.10.5. Strategy Overview

                18.1.10.5.1. Marketing Strategy

        18.1.11. Netcore Solutions

            18.1.11.1. Overview

            18.1.11.2. Product Portfolio

            18.1.11.3. Profitability by Market Segments

            18.1.11.4. Sales Footprint

            18.1.11.5. Strategy Overview

                18.1.11.5.1. Marketing Strategy

        18.1.12. Refract Software Ltd.

            18.1.12.1. Overview

            18.1.12.2. Product Portfolio

            18.1.12.3. Profitability by Market Segments

            18.1.12.4. Sales Footprint

            18.1.12.5. Strategy Overview

                18.1.12.5.1. Marketing Strategy

19. Assumptions & Acronyms Used

20. Research Methodology

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