Industry: Service & Software
Published Date: 2025-09-06
Pages: 118 Pages
Report ld: 4951738
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The global AI Meeting Assistants Software market size was US$ million in 2024 and is forecast to a readjusted size of US$ million by 2031 with a CAGR of %during the forecast period 2025-2031.
AI conference assistant software is a tool that uses artificial intelligence technology to improve conference efficiency and management. AI conference assistant software usually has the following functions and features: Scheduling and meeting reservation: AI conference assistant can help users arrange meeting times, send invitations, coordinate participants' schedules, and improve the efficiency and punctuality of meetings. Speech recognition and real-time translation: The AI conference assistant can convert meeting content into text records through speech recognition technology, and can also provide real-time translation functions to help cross-language communication and understanding. Automatic recording and summary: AI conference assistant can automatically record meeting content, action items and decisions, generate meeting minutes and summaries, and reduce the workload of manual recording. Intelligent reminders and notifications: AI conference assistant can provide functions such as meeting reminders, notifying participants, and sending reminder emails to ensure the smooth progress of the meeting and the timely response of participants.Data analysis and reporting: AI conference assistant can analyze conference data, participant feedback and other information, generate reports and data visualization, and help managers understand the effectiveness of the conference and the direction of improvement. Virtual meeting host: Some AI meeting assistant software also has the function of virtual host, which can help organize and guide the meeting process, and provide meeting guidance and support. In general, AI conference assistant software provides intelligent conference management and support functions by integrating artificial intelligence technology to help users improve conference efficiency, reduce work burden, and improve conference experience and management levels.
The North America AI Meeting Assistants Software market size was US$ million in 2024, while Europe was US$ million. The proportion of the North America was % in 2024, while Europe percentage was %, and it is predicted that Europe share will reach % in 2031, trailing a CAGR of % through the analysis period.
The global key players of AI Meeting Assistants Software include Fathom AI, Fellow, Avoma, Cisco Webex, Fireflies.ai, Grain, Vowel, Reclaim.ai, Otter.ai, tl;dv, etc. In 2024, the global top five players occupied for a share approximately % in terms of revenue.
In North America, in terms of revenue, in 2024, the top three players hold a share about %, while in Europe, top three players hold a share nearly %.
The global AI Meeting Assistants Software market is strategically segmented by company, region (country), by Type, and by Application. This report empowers stakeholders to capitalize on emerging opportunities, optimize product strategies, and outperform competitors through data-driven insights on revenue and forecasts across regions, by Type, and by Application for 2020-2031.
MARKET SEGMENTATION
CHAPTER OUTLINE
Chapter 1: Report scope, executive summary, and market evolution scenarios (short/mid/long term).
Chapter 2: Quantitative analysis of AI Meeting Assistants Software market size and growth potential at global, regional, and country levels.
Chapter 3: Competitive benchmarking of manufacturers (revenue, market share, M&A, R&D focus).
Chapter 4: Type-based segmentation analysis – Uncovering blue ocean markets (e.g., On-premise in China).
Chapter 5: Application-based segmentation analysis – High-growth downstream opportunities (e.g., Education Industry in India).
Chapter 6: Regional revenue breakdown by company, type, application and customer.
Chapter 7: Key manufacturer profiles – Financials, product portfolios, and strategic developments.
Chapter 8: Market dynamics – Drivers, restraints, regulatory impacts, and risk mitigation strategies.
Chapter 9: Actionable conclusions and strategic recommendations.
WHY THIS REPORT
Beyond standard market data, this analysis provides a clear profitability roadmap, empowering you to:
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the AI Meeting Assistants Software value chain, addressing:
- Market entry risks/opportunities by region
- Product mix optimization based on local practices
- Competitor tactics in fragmented vs. consolidated markets
QYRESEARCH'S STRENGTHS
Unlike generic global market reports, this study combines macro-level industry trends with hyper-local operational intelligence, empowering data-driven decisions across the Compound Chocolate value chain, addressing:
We identify regional market threats and growth prospects to guide your overseas layout.
We adjust product portfolios in line with local consumption habits.
We unpack rivals’ operation strategies for scattered and highly concentrated industries.
We cover competition landscape, full supply chain and quantified market size data, and deliver tailor-made customized surveys to meet your unique business demands.
We own self-owned massive exclusive databases, backed by 19 years of global market research experience across thousands of sectors.
Our team operates 24 hours a day, 365 days a year, enabling ultra-fast report turnaround to respond to your research needs efficiently.
We integrate regional risk assessment, localized product optimization and competitor analysis to deliver actionable market strategies.
All data is cross-verified from multiple industry sources to deliver thorough, precise analysis that supports reliable corporate strategic decisions.
We provide responsive, dedicated after-sales support to resolve all follow-up inquiries about reports, data and industry interpretation.
TABLE OF CONTENTS
1 Report Overview
1.1 Study Scope
1.2 Market by Type
1.2.1 Global Market Size Growth by Type: 2020 VS 2024 VS 2031
1.2.2 Cloud-based
1.2.3 On-premise
1.3 Market by Application
1.3.1 Global Market Share by Application: 2020 VS 2024 VS 2031
1.3.2 Financial Sector
1.3.3 Education Industry
1.3.4 Medical Industry
1.3.5 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI Meeting Assistants Software Market Perspective (2020-2031)
2.2 Global Market Size by Region: 2020 VS 2024 VS 2031
2.3 Global AI Meeting Assistants Software Revenue Market Share by Region (2020-2025)
2.4 Global AI Meeting Assistants Software Revenue Forecast by Region (2026-2031)
2.5 Major Region and Emerging Market Analysis
2.5.1 North America AI Meeting Assistants Software Market Size and Prospective (2020-2031)
2.5.2 Europe AI Meeting Assistants Software Market Size and Prospective (2020-2031)
2.5.3 Asia-Pacific AI Meeting Assistants Software Market Size and Prospective (2020-2031)
2.5.4 Latin America AI Meeting Assistants Software Market Size and Prospective (2020-2031)
2.5.5 Middle East & Africa AI Meeting Assistants Software Market Size and Prospective (2020-2031)
3 Breakdown Data by Type
3.1 Global AI Meeting Assistants Software Historic Market Size by Type (2020-2025)
3.2 Global AI Meeting Assistants Software Forecasted Market Size by Type (2026-2031)
3.3 Different Types AI Meeting Assistants Software Representative Players
4 Breakdown Data by Application
4.1 Global AI Meeting Assistants Software Historic Market Size by Application (2020-2025)
4.2 Global AI Meeting Assistants Software Forecasted Market Size by Application (2026-2031)
4.3 New Sources of Growth in AI Meeting Assistants Software Application
5 Competition Landscape by Players
5.1 Global Top Players by Revenue
5.1.1 Global Top AI Meeting Assistants Software Players by Revenue (2020-2025)
5.1.2 Global AI Meeting Assistants Software Revenue Market Share by Players (2020-2025)
5.2 Global Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
5.3 Players Covered: Ranking by AI Meeting Assistants Software Revenue
5.4 Global AI Meeting Assistants Software Market Concentration Analysis
5.4.1 Global AI Meeting Assistants Software Market Concentration Ratio (CR5 and HHI)
5.4.2 Global Top 10 and Top 5 Companies by AI Meeting Assistants Software Revenue in 2024
5.5 Global Key Players of AI Meeting Assistants Software Head office and Area Served
5.6 Global Key Players of AI Meeting Assistants Software, Product and Application
5.7 Global Key Players of AI Meeting Assistants Software, Date of Enter into This Industry
5.8 Mergers & Acquisitions, Expansion Plans
6 Region Analysis
6.1 North America Market: Players, Segments and Downstream
6.1.1 North America AI Meeting Assistants Software Revenue by Company (2020-2025)
6.1.2 North America Market Size by Type
6.1.2.1 North America AI Meeting Assistants Software Market Size by Type (2020-2025)
6.1.2.2 North America AI Meeting Assistants Software Market Share by Type (2020-2025)
6.1.3 North America Market Size by Application
6.1.3.1 North America AI Meeting Assistants Software Market Size by Application (2020-2025)
6.1.3.2 North America AI Meeting Assistants Software Market Share by Application (2020-2025)
6.1.4 North America Market Trend and Opportunities
6.2 Europe Market: Players, Segments and Downstream
6.2.1 Europe AI Meeting Assistants Software Revenue by Company (2020-2025)
6.2.2 Europe Market Size by Type
6.2.2.1 Europe AI Meeting Assistants Software Market Size by Type (2020-2025)
6.2.2.2 Europe AI Meeting Assistants Software Market Share by Type (2020-2025)
6.2.3 Europe Market Size by Application
6.2.3.1 Europe AI Meeting Assistants Software Market Size by Application (2020-2025)
6.2.3.2 Europe AI Meeting Assistants Software Market Share by Application (2020-2025)
6.2.4 Europe Market Trend and Opportunities
6.3 Asia-Pacific Market: Players, Segments and Downstream
6.3.1 Asia-Pacific AI Meeting Assistants Software Revenue by Company (2020-2025)
6.3.2 Asia-Pacific Market Size by Type
6.3.2.1 Asia-Pacific AI Meeting Assistants Software Market Size by Type (2020-2025)
6.3.2.2 Asia-Pacific AI Meeting Assistants Software Market Share by Type (2020-2025)
6.3.3 Asia-Pacific Market Size by Application
6.3.3.1 Asia-Pacific AI Meeting Assistants Software Market Size by Application (2020-2025)
6.3.3.2 Asia-Pacific AI Meeting Assistants Software Market Share by Application (2020-2025)
6.3.4 Asia-Pacific Market Trend and Opportunities
6.4 Latin America Market: Players, Segments and Downstream
6.4.1 Latin America AI Meeting Assistants Software Revenue by Company (2020-2025)
6.4.2 Latin America Market Size by Type
6.4.2.1 Latin America AI Meeting Assistants Software Market Size by Type (2020-2025)
6.4.2.2 Latin America AI Meeting Assistants Software Market Share by Type (2020-2025)
6.4.3 Latin America Market Size by Application
6.4.3.1 Latin America AI Meeting Assistants Software Market Size by Application (2020-2025)
6.4.3.2 Latin America AI Meeting Assistants Software Market Share by Application (2020-2025)
6.4.4 Latin America Market Trend and Opportunities
6.5 Middle East & Africa Market: Players, Segments and Downstream
6.5.1 Middle East & Africa AI Meeting Assistants Software Revenue by Company (2020-2025)
6.5.2 Middle East & Africa Market Size by Type
6.5.2.1 Middle East & Africa AI Meeting Assistants Software Market Size by Type (2020-2025)
6.5.2.2 Middle East & Africa AI Meeting Assistants Software Market Share by Type (2020-2025)
6.5.3 Middle East & Africa Market Size by Application
6.5.3.1 Middle East & Africa AI Meeting Assistants Software Market Size by Application (2020-2025)
6.5.3.2 Middle East & Africa AI Meeting Assistants Software Market Share by Application (2020-2025)
6.5.4 Middle East & Africa Market Trend and Opportunities
7 Key Players Profiles
7.1 Fathom AI
7.1.1 Fathom AI Company Details
7.1.2 Fathom AI Business Overview
7.1.3 Fathom AI AI Meeting Assistants Software Introduction
7.1.4 Fathom AI Revenue in AI Meeting Assistants Software Business (2020-2025)
7.1.5 Fathom AI Recent Development
7.2 Fellow
7.2.1 Fellow Company Details
7.2.2 Fellow Business Overview
7.2.3 Fellow AI Meeting Assistants Software Introduction
7.2.4 Fellow Revenue in AI Meeting Assistants Software Business (2020-2025)
7.2.5 Fellow Recent Development
7.3 Avoma
7.3.1 Avoma Company Details
7.3.2 Avoma Business Overview
7.3.3 Avoma AI Meeting Assistants Software Introduction
7.3.4 Avoma Revenue in AI Meeting Assistants Software Business (2020-2025)
7.3.5 Avoma Recent Development
7.4 Cisco Webex
7.4.1 Cisco Webex Company Details
7.4.2 Cisco Webex Business Overview
7.4.3 Cisco Webex AI Meeting Assistants Software Introduction
7.4.4 Cisco Webex Revenue in AI Meeting Assistants Software Business (2020-2025)
7.4.5 Cisco Webex Recent Development
7.5 Fireflies.ai
7.5.1 Fireflies.ai Company Details
7.5.2 Fireflies.ai Business Overview
7.5.3 Fireflies.ai AI Meeting Assistants Software Introduction
7.5.4 Fireflies.ai Revenue in AI Meeting Assistants Software Business (2020-2025)
7.5.5 Fireflies.ai Recent Development
7.6 Grain
7.6.1 Grain Company Details
7.6.2 Grain Business Overview
7.6.3 Grain AI Meeting Assistants Software Introduction
7.6.4 Grain Revenue in AI Meeting Assistants Software Business (2020-2025)
7.6.5 Grain Recent Development
7.7 Vowel
7.7.1 Vowel Company Details
7.7.2 Vowel Business Overview
7.7.3 Vowel AI Meeting Assistants Software Introduction
7.7.4 Vowel Revenue in AI Meeting Assistants Software Business (2020-2025)
7.7.5 Vowel Recent Development
7.8 Reclaim.ai
7.8.1 Reclaim.ai Company Details
7.8.2 Reclaim.ai Business Overview
7.8.3 Reclaim.ai AI Meeting Assistants Software Introduction
7.8.4 Reclaim.ai Revenue in AI Meeting Assistants Software Business (2020-2025)
7.8.5 Reclaim.ai Recent Development
7.9 Otter.ai
7.9.1 Otter.ai Company Details
7.9.2 Otter.ai Business Overview
7.9.3 Otter.ai AI Meeting Assistants Software Introduction
7.9.4 Otter.ai Revenue in AI Meeting Assistants Software Business (2020-2025)
7.9.5 Otter.ai Recent Development
7.10 tl;dv
7.10.1 tl;dv Company Details
7.10.2 tl;dv Business Overview
7.10.3 tl;dv AI Meeting Assistants Software Introduction
7.10.4 tl;dv Revenue in AI Meeting Assistants Software Business (2020-2025)
7.10.5 tl;dv Recent Development
7.11 Sessions
7.11.1 Sessions Company Details
7.11.2 Sessions Business Overview
7.11.3 Sessions AI Meeting Assistants Software Introduction
7.11.4 Sessions Revenue in AI Meeting Assistants Software Business (2020-2025)
7.11.5 Sessions Recent Development
7.12 UpdateAI
7.12.1 UpdateAI Company Details
7.12.2 UpdateAI Business Overview
7.12.3 UpdateAI AI Meeting Assistants Software Introduction
7.12.4 UpdateAI Revenue in AI Meeting Assistants Software Business (2020-2025)
7.12.5 UpdateAI Recent Development
7.13 Notta
7.13.1 Notta Company Details
7.13.2 Notta Business Overview
7.13.3 Notta AI Meeting Assistants Software Introduction
7.13.4 Notta Revenue in AI Meeting Assistants Software Business (2020-2025)
7.13.5 Notta Recent Development
7.14 Rewatch
7.14.1 Rewatch Company Details
7.14.2 Rewatch Business Overview
7.14.3 Rewatch AI Meeting Assistants Software Introduction
7.14.4 Rewatch Revenue in AI Meeting Assistants Software Business (2020-2025)
7.14.5 Rewatch Recent Development
7.15 Decisions
7.15.1 Decisions Company Details
7.15.2 Decisions Business Overview
7.15.3 Decisions AI Meeting Assistants Software Introduction
7.15.4 Decisions Revenue in AI Meeting Assistants Software Business (2020-2025)
7.15.5 Decisions Recent Development
7.16 Meetgeek.ai
7.16.1 Meetgeek.ai Company Details
7.16.2 Meetgeek.ai Business Overview
7.16.3 Meetgeek.ai AI Meeting Assistants Software Introduction
7.16.4 Meetgeek.ai Revenue in AI Meeting Assistants Software Business (2020-2025)
7.16.5 Meetgeek.ai Recent Development
7.17 Sembly AI
7.17.1 Sembly AI Company Details
7.17.2 Sembly AI Business Overview
7.17.3 Sembly AI AI Meeting Assistants Software Introduction
7.17.4 Sembly AI Revenue in AI Meeting Assistants Software Business (2020-2025)
7.17.5 Sembly AI Recent Development
7.18 Krisp
7.18.1 Krisp Company Details
7.18.2 Krisp Business Overview
7.18.3 Krisp AI Meeting Assistants Software Introduction
7.18.4 Krisp Revenue in AI Meeting Assistants Software Business (2020-2025)
7.18.5 Krisp Recent Development
7.19 Laxis
7.19.1 Laxis Company Details
7.19.2 Laxis Business Overview
7.19.3 Laxis AI Meeting Assistants Software Introduction
7.19.4 Laxis Revenue in AI Meeting Assistants Software Business (2020-2025)
7.19.5 Laxis Recent Development
7.20 Speak
7.20.1 Speak Company Details
7.20.2 Speak Business Overview
7.20.3 Speak AI Meeting Assistants Software Introduction
7.20.4 Speak Revenue in AI Meeting Assistants Software Business (2020-2025)
7.20.5 Speak Recent Development
7.21 Equal Time
7.21.1 Equal Time Company Details
7.21.2 Equal Time Business Overview
7.21.3 Equal Time AI Meeting Assistants Software Introduction
7.21.4 Equal Time Revenue in AI Meeting Assistants Software Business (2020-2025)
7.21.5 Equal Time Recent Development
7.22 Meetingflow
7.22.1 Meetingflow Company Details
7.22.2 Meetingflow Business Overview
7.22.3 Meetingflow AI Meeting Assistants Software Introduction
7.22.4 Meetingflow Revenue in AI Meeting Assistants Software Business (2020-2025)
7.22.5 Meetingflow Recent Development
8 AI Meeting Assistants Software Market Dynamics
8.1 AI Meeting Assistants Software Industry Trends
8.2 AI Meeting Assistants Software Market Drivers
8.3 AI Meeting Assistants Software Market Challenges
8.4 AI Meeting Assistants Software Market Restraints
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.1.1 Research Programs/Design
10.1.1.2 Market Size Estimation
10.1.1.3 Market Breakdown and Data Triangulation
10.1.2 Data Source
10.1.2.1 Secondary Sources
10.1.2.2 Primary Sources
10.2 Author Details
10.3 Disclaimer
TABLE OF FIGURES
List of Tables
List of Figures
KEY QUESTIONS ADDRESSED BY THE REPORT
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AI conference assistant software is a tool that uses artificial intelligence technology to improve conference efficiency and management. AI conference assistant software usually has the following functions and features: Scheduling and meeting reservation: AI conference assistant can help users arrange meeting times, send invitations, coordinate participants' schedules, and improve the efficiency and punctuality of meetings. Speech recognition and real-time translation: The AI conference assistant can convert meeting content into text records through speech recognition technology, and can also provide real-time translation functions to help cross-language communication and understanding. Automatic recording and summary: AI conference assistant can automatically record meeting content, action items and decisions, generate meeting minutes and summaries, and reduce the workload of manual recording. Intelligent reminders and notifications: AI conference assistant can provide functions such as meeting reminders, notifying participants, and sending reminder emails to ensure the smooth progress of the meeting and the timely response of participants.Data analysis and reporting: AI conference assistant can analyze conference data, participant feedback and other information, generate reports and data visualization, and help managers understand the effectiveness of the conference and the direction of improvement. Virtual meeting host: Some AI meeting assistant software also has the function of virtual host, which can help organize and guide the meeting process, and provide meeting guidance and support. In general, AI conference assistant software provides intelligent conference management and support functions by integrating artificial intelligence technology to help users improve conference efficiency, reduce work burden, and improve conference experience and management levels.
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REPORT COVERAGE
DESCRIPTION
OVERVIEW
MARKET SEGMENTATION
CHAPTER OUTLINE
WHY THIS REPORT
QYRESEARCH'S STRENGTHS
TABLE OF CONTENTS
TABLE OF FIGURES
RLEATED REPORTS
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