Market Overview:
The global conversational intelligence software market is expected to grow at a CAGR of 16.5% during the forecast period from 2018 to 2030. The growth in this market can be attributed to the increasing demand for conversational intelligence software from large enterprises and SMEs across the globe. In addition, the growing trend of digital transformation is also fueling the growth of this market. The global conversational intelligence software market can be segmented on the basis of type into cloud-based and web-based. The cloud-based segment is expected to grow at a higher CAGR than the web-based segment during the forecast period from 2018 to 2030. This can be attributed to factors such as lower installation and maintenance costs, scalability, and ease of use offered by cloud-based solutions compared with web-based solutions. On the basis of application,the global conversational intelligence software market can be divided into large enterprises and SMEs.
Product Definition:
Conversational intelligence software is a computer program that allows users to communicate with computers and other devices through natural language. This type of software is important because it makes communication easier for humans and allows them to interact with devices in a more natural way.
Cloud Based:
Cloud-based software is a type of software service model that provides shared computer resources over the internet. It is an emerging trend in the IT industry and has been rapidly gaining popularity among end-users due to its cost effectiveness, flexibility, scalability and reliability features. Cloud computing offers several benefits such as increased data storage space, easy access to stored information through multiple devices such as laptops & smartphones etc.
Web Based:
The Web Based (WBI) software is used to deliver real-time, enriched and personalized conversational experiences across multiple channels such as voice, SMS/MMS, instant messaging (IM), social media platforms and mobile phones. It helps in enhancing customer experience by providing a better understanding of the customers’ needs and preferences. The WBI platform enables enterprises to enhance their brand reputation through effective customer service delivery.
Application Insights:
The large enterprises segment accounted for the largest revenue share of over 60% in 2017. The growth can be attributed to the extensive usage of chatbots and other conversational interfaces by large enterprises to improve customer experience, employee efficiency and company image. Furthermore, the need for enhancing customer service quality is driving large organizations towards adopting Conversational Intelligence (CI) platform.
The small & medium-sized enterprise (SME) segment is expected to register a significant CAGR over the forecast period owing to increasing adoption of these platforms by SMEs as they offer cost-effective solutions without depending on external agencies or consultants. Moreover, with an easy installation process and minimal technical knowledge required, CI software can be installed within minutes in SMEs as compared to larger companies where it might take few days or weeks due largelyto complexity involved in setting up such systems.
Regional Analysis:
North America dominated the global conversational intelligence software market in 2017. North America is home to several large enterprises as well as small and medium businesses. The region has a strong presence of startups that offer CQ solutions to their customers across the globe. These startups are supported by venture capitalists (VCs) who provide them with funds for developing innovative products and services that cater to customer needs better than existing ones.
Asia Pacific is anticipated to grow at an exponential rate over the forecast period owing to increasing investments made by industry players in countries such as China, India, Japan and Australia among others. Furthermore, growing population coupled with increased disposable income will drive demand for consumer electronics including smartphones which will further fuel growth across this region during the forecast period 8% annually).
Growth Factors:
- Increasing demand for customer service automation to reduce the cost of customer service and improve customer satisfaction.
- The increasing demand for chatbots across various industry verticals to provide better customer experience and increase efficiency.
- Growing demand for conversational AI software from small and medium businesses to automate their business processes and improve productivity.
- Proliferation of AI-enabled devices such as smartphones, home assistants, etc., that are driving the growth of conversational AI software market by providing more opportunities for deployment of such software solutions.
Scope Of The Report
Report Attributes
Report Details
Report Title
Conversational Intelligence Software Market Research Report
By Type
Cloud Based, Web Based
By Application
Large Enterprises, SMEs
By Companies
IBM, Amazon, Google, Automated Insights, ARRIA NLG, AX Semantics, Yseop, Artificial Solutions, Narrativa, Retresco, Phrasee, Intercom, Drift, Zendesk
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
120
Number of Tables & Figures
84
Customization Available
Yes, the report can be customized as per your need.
Global Conversational Intelligence Software Market Report Segments:
The global Conversational Intelligence Software market is segmented on the basis of:
Types
Cloud Based, Web Based
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Large Enterprises, SMEs
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- IBM
- Amazon
- Automated Insights
- ARRIA NLG
- AX Semantics
- Yseop
- Artificial Solutions
- Narrativa
- Retresco
- Phrasee
- Intercom
- Drift
- Zendesk
Highlights of The Conversational Intelligence Software Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Cloud Based
- Web Based
- By Application:
- Large Enterprises
- SMEs
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Conversational Intelligence Software Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Conversational intelligence software is a type of software that helps people communicate more effectively. It can help people understand and respond to each other better, making conversations more productive.
Some of the major players in the conversational intelligence software market are IBM, Amazon, Google, Automated Insights, ARRIA NLG, AX Semantics, Yseop, Artificial Solutions, Narrativa, Retresco, Phrasee, Intercom, Drift, Zendesk.
The conversational intelligence software market is expected to register a CAGR of 16.5%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Conversational Intelligence Software Market Overview 4.1 Introduction 4.1.1 Market Taxonomy 4.1.2 Market Definition 4.1.3 Macro-Economic Factors Impacting the Market Growth 4.2 Conversational Intelligence Software Market Dynamics 4.2.1 Market Drivers 4.2.2 Market Restraints 4.2.3 Market Opportunity 4.3 Conversational Intelligence Software Market - Supply Chain Analysis 4.3.1 List of Key Suppliers 4.3.2 List of Key Distributors 4.3.3 List of Key Consumers 4.4 Key Forces Shaping the Conversational Intelligence Software Market 4.4.1 Bargaining Power of Suppliers 4.4.2 Bargaining Power of Buyers 4.4.3 Threat of Substitution 4.4.4 Threat of New Entrants 4.4.5 Competitive Rivalry 4.5 Global Conversational Intelligence Software Market Size & Forecast, 2018-2028 4.5.1 Conversational Intelligence Software Market Size and Y-o-Y Growth 4.5.2 Conversational Intelligence Software Market Absolute $ Opportunity
Chapter 5 Global Conversational Intelligence Software Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Conversational Intelligence Software Market Size Forecast by Type
5.2.1 Cloud Based
5.2.2 Web Based
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Conversational Intelligence Software Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Conversational Intelligence Software Market Size Forecast by Applications
6.2.1 Large Enterprises
6.2.2 SMEs
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Conversational Intelligence Software Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Conversational Intelligence Software Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Conversational Intelligence Software Analysis and Forecast
9.1 Introduction
9.2 North America Conversational Intelligence Software Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Conversational Intelligence Software Market Size Forecast by Type
9.6.1 Cloud Based
9.6.2 Web Based
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Conversational Intelligence Software Market Size Forecast by Applications
9.10.1 Large Enterprises
9.10.2 SMEs
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Conversational Intelligence Software Analysis and Forecast
10.1 Introduction
10.2 Europe Conversational Intelligence Software Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Conversational Intelligence Software Market Size Forecast by Type
10.6.1 Cloud Based
10.6.2 Web Based
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Conversational Intelligence Software Market Size Forecast by Applications
10.10.1 Large Enterprises
10.10.2 SMEs
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Conversational Intelligence Software Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Conversational Intelligence Software Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Conversational Intelligence Software Market Size Forecast by Type
11.6.1 Cloud Based
11.6.2 Web Based
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Conversational Intelligence Software Market Size Forecast by Applications
11.10.1 Large Enterprises
11.10.2 SMEs
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Conversational Intelligence Software Analysis and Forecast
12.1 Introduction
12.2 Latin America Conversational Intelligence Software Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Conversational Intelligence Software Market Size Forecast by Type
12.6.1 Cloud Based
12.6.2 Web Based
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Conversational Intelligence Software Market Size Forecast by Applications
12.10.1 Large Enterprises
12.10.2 SMEs
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Conversational Intelligence Software Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Conversational Intelligence Software Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Conversational Intelligence Software Market Size Forecast by Type
13.6.1 Cloud Based
13.6.2 Web Based
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Conversational Intelligence Software Market Size Forecast by Applications
13.10.1 Large Enterprises
13.10.2 SMEs
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Conversational Intelligence Software Market: Competitive Dashboard
14.2 Global Conversational Intelligence Software Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 IBM
14.3.2 Amazon
14.3.3 Google
14.3.4 Automated Insights
14.3.5 ARRIA NLG
14.3.6 AX Semantics
14.3.7 Yseop
14.3.8 Artificial Solutions
14.3.9 Narrativa
14.3.10 Retresco
14.3.11 Phrasee
14.3.12 Intercom
14.3.13 Drift
14.3.14 Zendesk