QuadrantX Market Intelligence

Video Conferencing Software
Report Q4 2025

How Leading LLMs Currently Interpret the Video Conferencing Software Market

View Rankings
33
Vendors Analyzed
5
LLM Models
10
Analysis Runs
5
Leaders Identified

QuadrantX Positioning

Vendor placement based on Narrative Dominance and Sentiment scores across LLM analyses

Leaders
Challengers
Niche Players
Laggards

Complete Vendor Rankings

All 33 vendors ranked by combined Narrative Dominance and Sentiment scores

#1

Zoom

Leader
ND 100
Sentiment 95
#2

Zoom Video Communications

a.k.a. Zoom Video Communications (Zoom)
Leader
ND 100
Sentiment 87
#3

Microsoft Teams

a.k.a. Microsoft Teams (Microsoft 365), Microsoft Teams (Microsoft)
Leader
ND 94
Sentiment 86
#4
ND 87
Sentiment 80
#5

Google Meet

a.k.a. Google Meet (Google Workspace)
Leader
ND 87
Sentiment 74
#6

GoTo Meeting (by LogMeIn)

a.k.a. GoToMeeting
Challenger
ND 68
Sentiment 57
#7
ND 67
Sentiment 58
#8

RingCentral Video

a.k.a. RingCentral Video (RingCentral MVP)
Niche Player
ND 59
Sentiment 62
#9

RingCentral (RingCentral Video)

a.k.a. RingCentral (RingCentral Video / RingCentral MVP)
Niche Player
ND 58
Sentiment 62
#10

Slack (Slack huddles and clips; Zoom/Teams integration)

a.k.a. Slack (via Slack Huddles & Integrations), Slack
Niche Player
ND 53
Sentiment 63
#12
ND 23
Sentiment 65
#13
ND 19
Sentiment 65
#14
ND 19
Sentiment 60
#15
ND 56
Sentiment 52
#16
ND 48
Sentiment 59
#17

BlueJeans

a.k.a. BlueJeans (by Verizon), BlueJeans (formerly Verizon BlueJeans โ€“ status declining/legacy)
Laggard
ND 50
Sentiment 50
#18

Whereby

a.k.a. Whereby (formerly appear.in)
Laggard
ND 33
Sentiment 59
#19
ND 41
Sentiment 42
#20
ND 34
Sentiment 48
#21
ND 37
Sentiment 45
#22
ND 32
Sentiment 48
#23
ND 27
Sentiment 53
#24

BigBlueButton

a.k.a. BigBlueButton (often via Moodle and LMSs)
Laggard
ND 27
Sentiment 50
#25

Lifesize

a.k.a. Lifesize (cloud meetings + room systems)
Laggard
ND 33
Sentiment 44
#26

Jitsi Meet

Laggard
ND 37
Sentiment 40
#28
ND 25
Sentiment 49
#29

Discord

Laggard
ND 26
Sentiment 48
#30
ND 15
Sentiment 56
#31

Skype

Laggard
ND 29
Sentiment 38
#33
ND 29
Sentiment 25

Key Findings

Critical insights extracted from cross-model analysis

Innovation Concentration

Modern, cloud-native platforms show concentrated sentiment advantages at multiple touchpoints.

Narrative Visibility Gaps

A narrow top-funnel ND range indicates crowded awareness conditions. 19 vendors show limited visibility despite market presence.

Sentiment Cliffs

Certain platforms exhibit notable drops between mid- and bottom-funnel stages, reflecting evaluation-stage friction.

Feature-Set Separators

ERP-integrated suites gain advantage through ecosystem lock-in, while modern competitors differentiate through UX and automation.

๐Ÿ† Category Awards

Recognizing standout vendors based on AI-consensus analysis

๐Ÿ†
Most Valuable
Zoom
Score: 195

Achieved the highest combined performance with ND 100 and Sentiment 95, establishing clear market leadership.

๐Ÿš€
Most Potential
Microsoft Teams
Sentiment: 86

Identified by our AI analyst as showing strong growth momentum. Watch for Microsoft's AI integration initiatives and efforts to simplify the Teams user experience while maintaining ecosystem advantages.

โšก
Most Controversial
Slack (Slack huddles and clips; Zoom/Teams integration)
Variance: 328

Generated the most debate across AI models with a variance score of 328. Models showed significant disagreement on this vendor's positioning.

๐Ÿ’Ž
Hidden Gem
Logitech (Logi Dock, Rally, MeetUp with software partners)
Sentiment: 65

Strong sentiment score of 65 despite lower market visibility (ND: 39). Well-regarded by those who know them, representing an underappreciated option.

QuadrantX Methodology

QuadrantX applies a structured, multi-model approach using 10 independent runs across 5 LLMs (claude, openai, gemini, perplexity, deepseek). Each model is queried with deterministic temperature settings (0.1) to ensure reproducibility. Narrative Dominance (ND) measures how prominently vendors appear in AI-generated market discussions, while Sentiment captures overall perception quality. Scores are normalized through consensus scoring with variance tracking and outlier suppression. This snapshot enables objective, repeatable comparison across editions.

Transparency & Reproducibility

Complete audit trail: report identifiers, LLM configurations, and exact prompts used

๐Ÿ” Report Metadata & Archive References

Click to expand
Report ID:
ca762cea-ad34-4f15-94a8-eb96e748f31a
Archive File Pattern:
ca762cea-ad34-4f15-94a8-eb96e748f31a_[model]_[run].json
Generated: December 06, 2025 (UTC)
Total LLM Runs: 10

๐Ÿค– LLM Model Configurations โ€” 5 models used

Click to expand
CLAUDE
Provider: anthropic
Model: claude-sonnet-4-20250514
Temperature: 0.1
Max Tokens: 8192
Runs: 3
Archive: ca762cea-ad34-4f15-94a8-eb96e748f31a_claude_*.json
OPENAI
Provider: openai
Model: gpt-4o
Temperature: 0.1
Max Tokens: 8192
Runs: 3
Archive: ca762cea-ad34-4f15-94a8-eb96e748f31a_openai_*.json
GEMINI
Provider: google
Model: gemini-2.0-flash
Temperature: 0.1
Max Tokens: 8192
Runs: 3
Archive: ca762cea-ad34-4f15-94a8-eb96e748f31a_gemini_*.json
PERPLEXITY
Provider: perplexity
Model: sonar-pro
Temperature: 0.1
Max Tokens: 8192
Runs: 3
Archive: ca762cea-ad34-4f15-94a8-eb96e748f31a_perplexity_*.json
DEEPSEEK
Provider: deepseek
Model: deepseek-chat
Temperature: 0.1
Max Tokens: 8192
Runs: 3
Archive: ca762cea-ad34-4f15-94a8-eb96e748f31a_deepseek_*.json

๐Ÿง  AI Analyst Enhancement โ€” Professional content synthesis

Click to expand
โœจ Analyst Model: CLAUDE

This report includes AI-enhanced analyst content. After gathering raw data from all LLM models, an additional AI call synthesizes the findings into professional narratives, vendor spotlights, strategic insights, and market predictions.

Vendor Spotlights: 3
Strategic Insights: 4
Market Predictions: 3
Archive: ca762cea-ad34-4f15-94a8-eb96e748f31a_claude_0.json
Prompt Template: report_analyst.yaml
The analyst prompt ingests all vendor positions, scores, and initial findings to generate comprehensive professional content for the full PDF report.

๐Ÿ“ Category Analysis Prompt Template

Click to expand
# Market Category Analysis Request

## Category: Video Conferencing Software

The video conferencing market has reached a mature state characterized by clear market leaders and significant fragmentation among secondary players. With 33 vendors analyzed across five AI models, the landscape reveals a concentration of success among cloud-native platforms that achieved early market penetration during the pandemic acceleration period. The top five Leaders command substantial market mindshare, while 19 vendors struggle with limited narrative dominance scores below 40.0.

User sentiment patterns indicate that market success correlates strongly with seamless user experience and ecosystem integration rather than feature breadth. The notable gap between narrative dominance and sentiment scores for several vendors suggests that market awareness doesn't automatically translate to user satisfaction, creating opportunities for focused competitors to gain ground through superior execution.

Please provide a comprehensive analysis of the **Video Conferencing Software** market. 

**Important**: Analyze this category based on what it actually represents. This could be:
- A software/technology market (if the category name suggests software, platforms, or technology)
- A services market (consulting, banking, healthcare, etc.)
- A product market (consumer goods, industrial products, etc.)
- An institutional market (banks, universities, hospitals, etc.)
- Any other market type that the category name implies

Let the category name and description guide your interpretation. Do NOT assume this is a software market unless the category explicitly indicates software or technology.

Structure your response as JSON with the following sections:

### Required JSON Structure:

```json
{{{{
  "market_overview": {{{{
    "market_type": "Software|Services|Products|Institutions|Hybrid|Other",
    "summary": "2-3 paragraph overview of the current market state",
    "market_size_estimate": "Estimated market size if known",
    "growth_trajectory": "Growth trends and projections",
    "key_drivers": ["List of key market drivers"],
    "key_challenges": ["List of key challenges"],
    "geographic_context": "Geographic focus if applicable (e.g., Canada, Global, US)"
  }}}},
  "vendors": [
    {{{{
      "name": "Vendor/Company/Institution Name",
      "position": "Leader|Challenger|Niche Player|Emerging",
      "recommendation_score": 8.5,
      "strengths": ["Strength 1", "Strength 2"],
      "weaknesses": ["Weakness 1", "Weakness 2"],
      "best_for": ["Use case 1", "Customer segment 1"],
      "notable_attributes": ["Key differentiator 1", "Key differentiator 2"],
      "market_segment": "Enterprise|Consumer|SMB|Premium|Mass Market|All",
      "summary": "Brief 1-2 sentence description"
    }}}}
  ],
  "competitive_analysis": {{{{
    "must_have_attributes": ["Essential attributes all players should have"],
    "differentiators": ["What separates leaders from others"],
    "emerging_trends": ["New capabilities or offerings gaining traction"],
    "baseline_expectations": ["Basic offerings expected by all customers"]
  }}}},
  "customer_guidance": {{{{
    "evaluation_criteria": ["Key factors to consider when choosing"],
    "common_pitfalls": ["Mistakes to avoid"],
    "by_segment": {{{{
      "enterprise_institutional": "Guidance for large organizations",
      "mid_market": "Guidance for mid-sized organizations or customers",
      "consumer_smb": "Guidance for consumers or small businesses"
    }}}}
  }}}},
  "trends": {{{{
    "rising": ["Trends gaining momentum"],
    "declining": ["Trends losing relevance"],
    "emerging": ["New trends to watch"]
  }}}}
}}}}
```

### Analysis Guidelines:

1. **Market Interpretation**: First determine what type of market this is based on the category name. For example:
   - "Retail Banking in Canada" = Financial services/institutions market
   - "Customer Data Platforms" = Software/technology market
   - "Corporate Gifting" = Products/services market
   - "Expense Management Software" = Software market
   - "Luxury Hotels in Europe" = Services/hospitality market

2. **Player Coverage**: Include at least 10-15 relevant players (vendors, companies, institutions, brands) if the category has that many significant participants. Prioritize by market presence and relevance.

3. **Objectivity**: Provide balanced assessments. Every player has strengths AND weaknesses - include both.

4. **Specificity**: Be specific about offerings, use cases, and recommendations. Avoid generic statements.

5. **Recommendation Scores**: Use a 1-10 scale where:
   - 9-10: Clear leader, recommended for most use cases
   - 7-8: Strong option for specific use cases
   - 5-6: Viable but with notable limitations
   - 3-4: Limited applicability
   - 1-2: Not recommended for most customers

6. **Position Definitions**:
   - **Leader**: High market presence + broadly recommended + strong reputation
   - **Challenger**: High visibility but specific concerns, limitations, or emerging status
   - **Niche Player**: Strong in specific segments but limited broader appeal
   - **Emerging**: Newer entrants or players showing growth potential

7. **Context Sensitivity**: If the category has a geographic focus (e.g., "in Canada", "in Europe"), ensure your analysis reflects that specific market context.

8. **No fabrication / domains**: Do NOT invent vendors or website domains. If a website/domain is unknown, omit it or set it to null/""; prefer well-known, real vendors only.



Please provide your analysis in valid JSON format only, without any markdown code fences or additional text.