The global market for Conversational AI Survey Platforms Software was valued at US$ 117 million in the year 2024 and is projected to reach a revised size of US$ 204 million by 2031, growing at a CAGR of 8.3% during the forecast period.
Conversational AI survey platforms are advanced research tools that leverage artificial intelligence to conduct dynamic, context-aware surveys and interviews. These systems use natural language processing (NLP) and machine learning (ML) to interpret participant responses, generate adaptive follow-up questions, and extract actionable insights from conversational data.Automation is central to conversational AI survey platforms. It enables seamless integration with customer relationship management (CRM) software, help desk platforms, and conversational intelligence tools. This allows for automated participant recruitment, intelligent survey branching, and real-time analysis, streamlining the research process and maintaining a high level of personalization and engagement.
North American market for Conversational AI Survey Platforms Software is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
Asia-Pacific market for Conversational AI Survey Platforms Software is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The global market for Conversational AI Survey Platforms Software in Large Enterprises is estimated to increase from $ million in 2024 to $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The major global companies of Conversational AI Survey Platforms Software include Conjointly, Zendesk, Dialpad, Sprinklr, Cognigy, Kore.AI, Haptik, Conversica, Sendbird, Conveo, etc. In 2024, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Conversational AI Survey Platforms Software, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Conversational AI Survey Platforms Software.
The Conversational AI Survey Platforms Software market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. This report segments the global Conversational AI Survey Platforms Software market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Conversational AI Survey Platforms Software companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
麻豆原创 Segmentation
By Company
Conjointly
Zendesk
Dialpad
Sprinklr
Cognigy
Kore.AI
Haptik
Conversica
Sendbird
Conveo
Listen Labs
Strella
Tellet
unSurvey
Userology
Vocads
Voicepanel
Segment by Type
Cloud-based
Based on Local
Segment by Application
Large Enterprises
SMEs
By Region
North America
U.S.
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia & New Zealand
Europe
Germany
France
U.K.
Italy
Ireland
Russia
Rest of Europe
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Israel
United Arab Emirates (UAE)
Saudi Arabia
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Conversational AI Survey Platforms Software company competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
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1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global Conversational AI Survey Platforms Software 麻豆原创 Size Growth Rate by Type: 2020 VS 2024 VS 2031
1.2.2 Cloud-based
1.2.3 Based on Local
1.3 麻豆原创 by Application
1.3.1 Global Conversational AI Survey Platforms Software 麻豆原创 Growth by Application: 2020 VS 2024 VS 2031
1.3.2 Large Enterprises
1.3.3 SMEs
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Conversational AI Survey Platforms Software 麻豆原创 Perspective (2020-2031)
2.2 Global Conversational AI Survey Platforms Software Growth Trends by Region
2.2.1 Global Conversational AI Survey Platforms Software 麻豆原创 Size by Region: 2020 VS 2024 VS 2031
2.2.2 Conversational AI Survey Platforms Software Historic 麻豆原创 Size by Region (2020-2025)
2.2.3 Conversational AI Survey Platforms Software Forecasted 麻豆原创 Size by Region (2026-2031)
2.3 Conversational AI Survey Platforms Software 麻豆原创 Dynamics
2.3.1 Conversational AI Survey Platforms Software Industry Trends
2.3.2 Conversational AI Survey Platforms Software 麻豆原创 Drivers
2.3.3 Conversational AI Survey Platforms Software 麻豆原创 Challenges
2.3.4 Conversational AI Survey Platforms Software 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top Conversational AI Survey Platforms Software Players by Revenue
3.1.1 Global Top Conversational AI Survey Platforms Software Players by Revenue (2020-2025)
3.1.2 Global Conversational AI Survey Platforms Software Revenue 麻豆原创 Share by Players (2020-2025)
3.2 Global Top Conversational AI Survey Platforms Software Players by Company Type and 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Conversational AI Survey Platforms Software Revenue
3.4 Global Conversational AI Survey Platforms Software 麻豆原创 Concentration Ratio
3.4.1 Global Conversational AI Survey Platforms Software 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Conversational AI Survey Platforms Software Revenue in 2024
3.5 Global Key Players of Conversational AI Survey Platforms Software Head office and Area Served
3.6 Global Key Players of Conversational AI Survey Platforms Software, Product and Application
3.7 Global Key Players of Conversational AI Survey Platforms Software, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Conversational AI Survey Platforms Software Breakdown Data by Type
4.1 Global Conversational AI Survey Platforms Software Historic 麻豆原创 Size by Type (2020-2025)
4.2 Global Conversational AI Survey Platforms Software Forecasted 麻豆原创 Size by Type (2026-2031)
5 Conversational AI Survey Platforms Software Breakdown Data by Application
5.1 Global Conversational AI Survey Platforms Software Historic 麻豆原创 Size by Application (2020-2025)
5.2 Global Conversational AI Survey Platforms Software Forecasted 麻豆原创 Size by Application (2026-2031)
6 North America
6.1 North America Conversational AI Survey Platforms Software 麻豆原创 Size (2020-2031)
6.2 North America Conversational AI Survey Platforms Software 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America Conversational AI Survey Platforms Software 麻豆原创 Size by Country (2020-2025)
6.4 North America Conversational AI Survey Platforms Software 麻豆原创 Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Conversational AI Survey Platforms Software 麻豆原创 Size (2020-2031)
7.2 Europe Conversational AI Survey Platforms Software 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe Conversational AI Survey Platforms Software 麻豆原创 Size by Country (2020-2025)
7.4 Europe Conversational AI Survey Platforms Software 麻豆原创 Size by Country (2026-2031)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Ireland
8 Asia-Pacific
8.1 Asia-Pacific Conversational AI Survey Platforms Software 麻豆原创 Size (2020-2031)
8.2 Asia-Pacific Conversational AI Survey Platforms Software 麻豆原创 Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific Conversational AI Survey Platforms Software 麻豆原创 Size by Region (2020-2025)
8.4 Asia-Pacific Conversational AI Survey Platforms Software 麻豆原创 Size by Region (2026-2031)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia & New Zealand
9 Latin America
9.1 Latin America Conversational AI Survey Platforms Software 麻豆原创 Size (2020-2031)
9.2 Latin America Conversational AI Survey Platforms Software 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America Conversational AI Survey Platforms Software 麻豆原创 Size by Country (2020-2025)
9.4 Latin America Conversational AI Survey Platforms Software 麻豆原创 Size by Country (2026-2031)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Conversational AI Survey Platforms Software 麻豆原创 Size (2020-2031)
10.2 Middle East & Africa Conversational AI Survey Platforms Software 麻豆原创 Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa Conversational AI Survey Platforms Software 麻豆原创 Size by Country (2020-2025)
10.4 Middle East & Africa Conversational AI Survey Platforms Software 麻豆原创 Size by Country (2026-2031)
10.5 Israel
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Conjointly
11.1.1 Conjointly Company Details
11.1.2 Conjointly Business Overview
11.1.3 Conjointly Conversational AI Survey Platforms Software Introduction
11.1.4 Conjointly Revenue in Conversational AI Survey Platforms Software Business (2020-2025)
11.1.5 Conjointly Recent Development
11.2 Zendesk
11.2.1 Zendesk Company Details
11.2.2 Zendesk Business Overview
11.2.3 Zendesk Conversational AI Survey Platforms Software Introduction
11.2.4 Zendesk Revenue in Conversational AI Survey Platforms Software Business (2020-2025)
11.2.5 Zendesk Recent Development
11.3 Dialpad
11.3.1 Dialpad Company Details
11.3.2 Dialpad Business Overview
11.3.3 Dialpad Conversational AI Survey Platforms Software Introduction
11.3.4 Dialpad Revenue in Conversational AI Survey Platforms Software Business (2020-2025)
11.3.5 Dialpad Recent Development
11.4 Sprinklr
11.4.1 Sprinklr Company Details
11.4.2 Sprinklr Business Overview
11.4.3 Sprinklr Conversational AI Survey Platforms Software Introduction
11.4.4 Sprinklr Revenue in Conversational AI Survey Platforms Software Business (2020-2025)
11.4.5 Sprinklr Recent Development
11.5 Cognigy
11.5.1 Cognigy Company Details
11.5.2 Cognigy Business Overview
11.5.3 Cognigy Conversational AI Survey Platforms Software Introduction
11.5.4 Cognigy Revenue in Conversational AI Survey Platforms Software Business (2020-2025)
11.5.5 Cognigy Recent Development
11.6 Kore.AI
11.6.1 Kore.AI Company Details
11.6.2 Kore.AI Business Overview
11.6.3 Kore.AI Conversational AI Survey Platforms Software Introduction
11.6.4 Kore.AI Revenue in Conversational AI Survey Platforms Software Business (2020-2025)
11.6.5 Kore.AI Recent Development
11.7 Haptik
11.7.1 Haptik Company Details
11.7.2 Haptik Business Overview
11.7.3 Haptik Conversational AI Survey Platforms Software Introduction
11.7.4 Haptik Revenue in Conversational AI Survey Platforms Software Business (2020-2025)
11.7.5 Haptik Recent Development
11.8 Conversica
11.8.1 Conversica Company Details
11.8.2 Conversica Business Overview
11.8.3 Conversica Conversational AI Survey Platforms Software Introduction
11.8.4 Conversica Revenue in Conversational AI Survey Platforms Software Business (2020-2025)
11.8.5 Conversica Recent Development
11.9 Sendbird
11.9.1 Sendbird Company Details
11.9.2 Sendbird Business Overview
11.9.3 Sendbird Conversational AI Survey Platforms Software Introduction
11.9.4 Sendbird Revenue in Conversational AI Survey Platforms Software Business (2020-2025)
11.9.5 Sendbird Recent Development
11.10 Conveo
11.10.1 Conveo Company Details
11.10.2 Conveo Business Overview
11.10.3 Conveo Conversational AI Survey Platforms Software Introduction
11.10.4 Conveo Revenue in Conversational AI Survey Platforms Software Business (2020-2025)
11.10.5 Conveo Recent Development
11.11 Listen Labs
11.11.1 Listen Labs Company Details
11.11.2 Listen Labs Business Overview
11.11.3 Listen Labs Conversational AI Survey Platforms Software Introduction
11.11.4 Listen Labs Revenue in Conversational AI Survey Platforms Software Business (2020-2025)
11.11.5 Listen Labs Recent Development
11.12 Strella
11.12.1 Strella Company Details
11.12.2 Strella Business Overview
11.12.3 Strella Conversational AI Survey Platforms Software Introduction
11.12.4 Strella Revenue in Conversational AI Survey Platforms Software Business (2020-2025)
11.12.5 Strella Recent Development
11.13 Tellet
11.13.1 Tellet Company Details
11.13.2 Tellet Business Overview
11.13.3 Tellet Conversational AI Survey Platforms Software Introduction
11.13.4 Tellet Revenue in Conversational AI Survey Platforms Software Business (2020-2025)
11.13.5 Tellet Recent Development
11.14 unSurvey
11.14.1 unSurvey Company Details
11.14.2 unSurvey Business Overview
11.14.3 unSurvey Conversational AI Survey Platforms Software Introduction
11.14.4 unSurvey Revenue in Conversational AI Survey Platforms Software Business (2020-2025)
11.14.5 unSurvey Recent Development
11.15 Userology
11.15.1 Userology Company Details
11.15.2 Userology Business Overview
11.15.3 Userology Conversational AI Survey Platforms Software Introduction
11.15.4 Userology Revenue in Conversational AI Survey Platforms Software Business (2020-2025)
11.15.5 Userology Recent Development
11.16 Vocads
11.16.1 Vocads Company Details
11.16.2 Vocads Business Overview
11.16.3 Vocads Conversational AI Survey Platforms Software Introduction
11.16.4 Vocads Revenue in Conversational AI Survey Platforms Software Business (2020-2025)
11.16.5 Vocads Recent Development
11.17 Voicepanel
11.17.1 Voicepanel Company Details
11.17.2 Voicepanel Business Overview
11.17.3 Voicepanel Conversational AI Survey Platforms Software Introduction
11.17.4 Voicepanel Revenue in Conversational AI Survey Platforms Software Business (2020-2025)
11.17.5 Voicepanel Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 麻豆原创 Size Estimation
13.1.1.3 麻豆原创 Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer
Conjointly
Zendesk
Dialpad
Sprinklr
Cognigy
Kore.AI
Haptik
Conversica
Sendbird
Conveo
Listen Labs
Strella
Tellet
unSurvey
Userology
Vocads
Voicepanel
听
听
*If Applicable.