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Conversation Intelligence Software Market Research Report By Deployment Type (Cloud-based, On-premises), By Organization Size (Small and Medium-sized Enterprises (SMEs), Large Enterprises), By Industry (Healthcare, Retail, Manufacturing, Financial Services, IT and Telecom), By Function (Sales, Marketing, Customer Support, Operations), By Use Case (Call Center Analytics, Customer Engagement Tracking, Sales Performance Optimization, Quality Assurance) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa)


ID: MRFR/ICT/25023-HCR | 100 Pages | Author: Aarti Dhapte| December 2024

Conversation Intelligence Software Market Overview


As per MRFR analysis, the Conversation Intelligence Software Market Size was estimated at 12.32 (USD Billion) in 2022.


The Conversation Intelligence Software Market is expected to grow from 14.23 (USD Billion) in 2023 to 52.0 (USD Billion) by 2032. The Conversation Intelligence Software Market CAGR (growth rate) is expected to be around 15.49% during the forecast period (2024 - 2032).


Key Conversation Intelligence Software Market Trends Highlighted


A number of noteworthy trends are visible in the Conversation Intelligence Software Market, which are being driven by changing client expectations and technology improvements.


Cloud-based solutions are becoming more and more popular since they are affordable, scalable, and convenient.


Furthermore, the capabilities of conversation intelligence software have been greatly improved by the combination of Artificial Intelligence (AI) and Natural Language Processing (NLP).


Sentiment analysis, speech recognition, and customized consumer experiences have all improved as a result.


Additionally, there is a greater need for technologies that enable efficient communication and data-driven insights due to the growing acceptance of remote work and virtual collaboration.


Figure1: Conversation Intelligence Software Market, 2018 - 2032 (USD Billion)


Conversation Intelligence Software Market Overview


Source: Primary Research, Secondary Research, MRFR Database and Analyst Review


Conversation Intelligence Software Market Drivers


Growing Demand for Improved Customer Experience


In the modern business environment, customer experience has become a leading growth driver and a key consideration for businesses to secure rewarding consumer relationships.


A focus on superb customer experience is impossible without conversation intelligence software, which allows enterprises to capitalize on their analytical capabilities to determine customer behavior and preferences.


Utilizing NLP, AI, and other advanced technologies, conversation intelligence platforms collect, process, and analyze customer conversations with sales and customer service representatives in real time.


These insights may be utilized to determine customer pain points, common issues, interests, attitudes, and sentiment, allowing organizations to improve their interactions with consumers, resolve their troubles immediately, and address their individual needs better.


The growing competition for distinctiveness and customer experience will contribute to the dramatically rising adoption of conversation intelligence software in the next decade.


Need for Enhanced Sales Performance


Conversation intelligence software has emerged as a powerful tool for sales teams looking to improve their performance and drive revenue growth.


By providing real-time insights into customer interactions, conversation intelligence platforms empower sales reps to identify sales opportunities, qualify leads more effectively, and close deals faster.


The ability to analyze sales calls, emails, and other customer interactions helps sales teams understand customer needs, tailor their pitches, and overcome objections more effectively.


Additionally, conversation intelligence software can be used to identify best practices, replicate successful sales strategies, and provide personalized coaching to sales reps.


As businesses recognize the importance of optimizing sales performance and maximizing revenue generation, the demand for conversation intelligence software within the Conversation Intelligence Software Market is anticipated to rise significantly.


Increasing Adoption of Remote and Hybrid Work Models


The shift towards remote and hybrid work models has accelerated the adoption of conversation intelligence software. With employees working from different locations and using various communication channels, businesses need a centralized platform to capture, analyze, and track customer interactions effectively.


Conversation intelligence software provides a comprehensive view of customer conversations across multiple channels, enabling businesses to stay connected with their customers and deliver a consistent experience regardless of location.


As remote and hybrid work models continue to gain traction, the demand for conversation intelligence software is expected to grow steadily, driven by the need for businesses to maintain effective communication and collaboration with their customers and teams.


Conversation Intelligence Software Market Segment Insights


Conversation Intelligence Software Market Deployment Type Insights


Deployment type is a crucial market segmentation factor, categorizing the market into cloud-based and on-premises solutions. Cloud-based deployment has gained significant traction, accounting for a substantial share of the market.


Its flexibility, cost-effectiveness, and scalability make it a preferred choice for businesses seeking agility and cost optimization.


The cloud-based model eliminates the need for hardware and IT infrastructure investment, allowing businesses to access the software on a subscription basis. This model also facilitates rapid deployment and easy integration with other cloud-based applications.


On-premises deployment, while accounting for a smaller market share, remains relevant for organizations with stringent data security and compliance requirements.


On-premises solutions provide greater control over data storage and security, ensuring compliance with industry regulations and internal policies.


However, this deployment model requires significant upfront investment in hardware, infrastructure, and IT support, making it less flexible and potentially more expensive than cloud-based solutions.


The choice between cloud-based and on-premises deployment depends on specific organizational requirements, resources, and strategic objectives.


Businesses prioritizing flexibility, cost-effectiveness, and rapid deployment often opt for cloud-based solutions, while organizations with stringent security concerns and data control preferences may prefer on-premises deployment.


Figure2: Conversation Intelligence Software Market, By Deployment Type, 2023 & 2032 (USD billion)


Conversation Intelligence Software Market Deployment Type Insights


Source: Primary Research, Secondary Research, MRFR Database and Analyst Review


Conversation Intelligence Software Market Organization Size Insights


The Conversation Intelligence Software Market is segmented based on organization size into Small and Medium-sized Enterprises (SMEs) and Large Enterprises.


Among these segments, Large Enterprises held the largest market share of around 60% in 2023 and is expected to continue its dominance throughout the forecast period.


The growth of this segment can be attributed to the increasing adoption of conversation intelligence solutions by large enterprises to enhance customer experience, optimize sales performance, and improve operational efficiency.


SMEs, on the other hand, are expected to witness significant growth in the coming years due to the rising awareness of the benefits of conversation intelligence solutions and the increasing availability of affordable and user-friendly platforms.


Conversation Intelligence Software Market Insights


The Healthcare industry is expected to hold a significant market share in the Conversation Intelligence Software Market. The increasing adoption of digital health records and the need to improve patient engagement are driving the growth of the Conversation Intelligence Software Market in this industry.


Additionally, the growing demand for personalized healthcare experiences is further fueling the adoption of conversation intelligence solutions. In the Retail industry, conversation intelligence software is being used to improve customer service and sales conversions.


The software can be used to track customer interactions, identify opportunities for upselling and cross-selling, and provide personalized recommendations. As a result, the Retail industry is expected to witness a significant growth in the Conversation Intelligence Software Market.


The Manufacturing industry is also expected to be a key growth driver for the Conversation Intelligence Software Market. The software can be used to improve communication and collaboration between employees, optimize production processes, and reduce costs.


In the Financial Services industry, conversation intelligence software is being used to improve customer service, detect fraud, and comply with regulations.


The software can be used to track customer interactions, identify potential risks, and provide personalized recommendations.


As a result, the Financial Services industry is expected to witness significant growth in the Conversation Intelligence Software Market. The IT and Telecom industry is also expected to be a key growth driver for the Conversation Intelligence Software Market.


The software can be used to improve customer service, sales conversions, and employee productivity. As a result, the IT and Telecom industry is expected to witness a significant growth in the Conversation Intelligence Software Market.


Conversation Intelligence Software Market Function Insights


The Conversation Intelligence Software Market segmentation by Function includes Sales, Marketing, Customer Support, and Operations. The Sales segment is expected to hold the largest market share due to the increasing demand for conversational intelligence tools to improve sales performance.


Conversation intelligence can help sales teams identify and qualify leads, track customer interactions, and close deals faster.


The Marketing segment is also expected to witness significant growth as conversation intelligence can help marketers understand customer needs, create targeted campaigns, and measure the effectiveness of marketing efforts.


The Customer Support segment is expected to grow steadily as conversation intelligence can help customer support teams resolve customer issues quickly and efficiently.


The Operations segment is also expected to see some growth as conversation intelligence can help operations teams improve communication and collaboration. The Conversation Intelligence Software Market is expected to reach $20.1 billion by 2024, growing at a CAGR of 15.49% from 2024 to 2032.


Conversation Intelligence Software Market Use Case Insights


The Use Case segment of the Conversation Intelligence Software Market is expected to witness substantial growth in the coming years, driven by the increasing adoption of conversation intelligence solutions across various industries.


Among the key use cases, Call Center Analytics is anticipated to hold a significant market share. According to industry estimates, the Conversation Intelligence Software Market revenue for Call Center Analytics is projected to reach USD 5.6 billion by 2024.


This growth is attributed to the rising need for businesses to improve customer service experiences and optimize call center operations.


Customer Engagement Tracking is another prominent use case, enabling businesses to monitor and analyze customer interactions across multiple channels.


This use case is expected to contribute significantly to the Conversation Intelligence Software Market growth, with a projected market size of USD 4.8 billion by 2024.


Sales Performance Optimization is gaining traction as businesses seek to enhance sales effectiveness and productivity. The market for this use case is estimated to reach USD 3.9 billion by 2024. Quality Assurance is also a crucial use case, allowing businesses to evaluate and improve the quality of customer interactions.


The Conversation Intelligence Software Market for Quality Assurance is anticipated to grow at a steady pace, reaching USD 3.2 billion by 2024.


Conversation Intelligence Software Market Regional Insights


The regional segmentation of the Conversation Intelligence Software Market offers crucial insights into the market's geographical distribution and growth dynamics.


North America is expected to dominate the market, accounting for a significant share of the Conversation Intelligence Software Market revenue in 2023.


The region's dominance can be attributed to the presence of numerous established vendors, early adoption of advanced technologies, and a large customer base in sectors such as BFSI, healthcare, and retail. Europe is another key region in the Conversation Intelligence Software Market, with a substantial market share.


Factors driving growth in this region include government initiatives to enhance customer experience, increasing awareness of data privacy regulations, and a growing number of startups offering innovative solutions. The APAC region is projected to witness the highest growth rate during the forecast period.


The increasing adoption of digital technologies, rising disposable income, and growing awareness of customer-centric approaches are key factors contributing to the region's growth.


South America and MEA are expected to contribute a smaller share to the Conversation Intelligence Software Market, but they offer significant growth opportunities due to the increasing adoption of cloud-based solutions and government initiatives to improve customer service.


Figure3: Conversation Intelligence Software Market, By Regional, 2023 & 2032 (USD billion)


Conversation Intelligence Software Market Regional Insights


Source: Primary Research, Secondary Research, MRFR Database and Analyst Review


Conversation Intelligence Software Market Key Players and Competitive Insights


Major players in the Conversation Intelligence Software Market are constantly striving to gain a competitive edge by offering innovative solutions and expanding their product portfolios.


Leading Conversation Intelligence Software Market players are focusing on developing advanced features such as AI-powered insights, real-time transcription, and sentiment analysis to enhance their offerings.


The Conversation Intelligence Software Market is witnessing strategic partnerships, acquisitions, and collaborations among key players to strengthen their market position and expand their geographical reach.


Conversational intelligence technology is gaining traction as businesses recognize its potential to improve customer experience, optimize sales performance, and drive operational efficiency.


Gong.io is a leading provider of conversation intelligence software. The company's platform offers a range of features, including call transcription, sentiment analysis, and AI-powered insights.


Gong.io serves a diverse customer base across various industries, including technology, healthcare, and financial services. By providing valuable insights and actionable recommendations, Gong.io empowers sales teams to improve their performance and drive revenue growth.


Another prominent player in the Conversation Intelligence Software Market is Chorus.ai. The company's solution offers advanced features such as real-time transcription, automated scoring, and personalized coaching.


Chorus.ai caters to a wide range of customers, including Fortune 500 companies and high-growth startups. Its focus on customer success and continuous innovation has enabled Chorus.ai to establish a strong presence in the market.


Key Companies in the Conversation Intelligence Software Market Include



  • Talkdesk

  • LevelAI

  • io

  • Invoca

  • CallMiner

  • Salesforce

  • ai

  • Nice

  • SentiSum

  • Amelia

  • Substrata

  • ai

  • ai

  • Verint


Conversation Intelligence Software Market Developments


Recent developments in the market include


- In February 2023, Gong.io raised USD 250 million in Series F funding, bringing its total funding to USD 689 million. This investment will be used to accelerate product development and global expansion.


- In January 2023, Chorus.ai acquired Jiminny, a conversation intelligence platform for revenue teams. This acquisition will enable Chorus.ai to offer a more comprehensive suite of solutions for sales teams.


- In December 2022, CallMiner acquired Invoca, a provider of call tracking and analytics solutions. This acquisition will allow CallMiner to expand its product portfolio and offer a more comprehensive solution for customer engagement.


These developments indicate a growing demand for conversation intelligence solutions as businesses seek to improve customer interactions, increase sales productivity, and gain insights from customer conversations.


Conversation Intelligence Software Market Segmentation Insights


Conversation Intelligence Software Market Deployment Type Outlook



  • Cloud-based

  • On-premises


Conversation Intelligence Software Market Organization Size Outlook



  • Small and Medium-sized Enterprises (SMEs)

  • Large Enterprises


Conversation Intelligence Software Market Outlook



  • Healthcare

  • Retail

  • Manufacturing

  • Financial Services

  • IT and Telecom


Conversation Intelligence Software Market Function Outlook



  • Sales

  • Marketing

  • Customer Support

  • Operations


Conversation Intelligence Software Market Use Case Outlook



  • Call Center Analytics

  • Customer Engagement Tracking

  • Sales Performance Optimization

  • Quality Assurance


Conversation Intelligence Software Market Regional Outlook



  • North America

  • Europe

  • South America

  • Asia Pacific

  • Middle East and Africa

Report Attribute/Metric Details
Market Size 2022 12.32(USD Billion)
Market Size 2023 14.23(USD Billion)
Market Size 2032 52.0(USD Billion)
Compound Annual Growth Rate (CAGR) 15.49% (2024 - 2032)
Report Coverage Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
Base Year 2023
Market Forecast Period 2024 - 2032
Historical Data 2019 - 2023
Market Forecast Units USD Billion
Key Companies Profiled Talkdesk, LevelAI, Gong.io, Invoca, CallMiner, Salesforce, Observe.ai, Nice, SentiSum, Amelia, Substrata, Jimin.ai, Chorus.ai, Verint
Segments Covered Deployment Type, Organization Size, Industry, Function, Use Case, Regional
Key Market Opportunities AI-driven analytics Enhanced customer engagement Improved sales performance Data-driven insights Omnichannel integration
Key Market Dynamics 1 Rising demand for customer insights 2 Growing adoption of AI and ML technologies 3 Increased focus on customer engagement 4 Proliferation of remote work environments 5 Expanding the regulatory landscape
Countries Covered North America, Europe, APAC, South America, MEA


Frequently Asked Questions (FAQ) :

The Conversation Intelligence Software Market size is expected to reach USD 52.0 billion by 2032, witnessing a CAGR of 15.49% from 2024 to 2032.

North America is expected to hold the largest market share, followed by Europe and Asia Pacific. The growth in North America can be attributed to the early adoption of conversation intelligence solutions by businesses in the region.

Conversation intelligence software finds applications in various industries, including sales, marketing, customer service, and human resources. It helps businesses analyze customer interactions to identify patterns, improve customer experience, and increase sales.

Some of the key competitors in the Conversation Intelligence Software Market include Gong, Chorus.ai, Salesloft, and Observe.ai.

Key trends in the Conversation Intelligence Software Market include the increasing adoption of artificial intelligence (AI) and machine learning (ML), the rise of cloud-based solutions, and the growing demand for real-time insights.

Factors driving the growth of the Conversation Intelligence Software Market include the increasing need to improve customer experience, the growing adoption of remote work, and the need for businesses to gain insights from customer interactions.

Challenges faced by the Conversation Intelligence Software Market include data privacy concerns, the need for skilled professionals to implement and use the software, and the high cost of deployment.

The Conversation Intelligence Software Market is expected to grow significantly over the next ten years. The market is expected to reach USD 52.0 billion by 2032, witnessing a CAGR of 15.49% from 2024 to 2032.

Key opportunities for growth in the Conversation Intelligence Software Market include the increasing adoption of AI and ML, the growing demand for cloud-based solutions, and the expansion into new markets.

Key challenges for growth in the Conversation Intelligence Software Market include data privacy concerns, the need for skilled professionals, and the high cost of deployment.

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