QuadrantX Market Intelligence

Endpoint Protection Software
Report Q4 2025

How Leading LLMs Currently Interpret the Endpoint Protection Software Market

View Rankings
39
Vendors Analyzed
5
LLM Models
10
Analysis Runs
10
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 39 vendors ranked by combined Narrative Dominance and Sentiment scores

#1

CrowdStrike

a.k.a. CrowdStrike (Falcon Platform)
Leader
ND 100
Sentiment 90
#2
ND 95
Sentiment 83
#3

Microsoft (Defender for Endpoint)

a.k.a. Microsoft (Defender for Endpoint / Microsoft 365 Defender), Microsoft +2
Leader
ND 92
Sentiment 80
#4
ND 85
Sentiment 66
#5

Palo Alto Networks (Cortex XDR)

a.k.a. Palo Alto Networks (Cortex XDR / Traps heritage), Palo Alto Networks
Leader
ND 76
Sentiment 74
#6
ND 85
Sentiment 65
#7
ND 77
Sentiment 72
#9
ND 81
Sentiment 62
#10

Sophos (Intercept X)

a.k.a. Sophos
Leader
ND 73
Sentiment 65
#11
ND 82
Sentiment 58
#13

McAfee

Challenger
ND 78
Sentiment 54
#15
ND 70
Sentiment 56
#16
ND 74
Sentiment 49
#17
ND 66
Sentiment 56
#18
ND 78
Sentiment 42
#19

Kaspersky

Challenger
ND 65
Sentiment 45
#20
ND 65
Sentiment 41
#21
ND 58
Sentiment 86
#22

Bitdefender GravityZone

a.k.a. Bitdefender
Laggard
ND 57
Sentiment 59
#23
ND 51
Sentiment 58
#24

ESET

Laggard
ND 51
Sentiment 56
#25

Fortinet (FortiClient / FortiEDR)

a.k.a. Fortinet
Laggard
ND 47
Sentiment 51
#26

Cisco (Secure Endpoint / formerly AMP for Endpoints)

a.k.a. Cisco (Secure Endpoint), Cisco (Secure Endpoint, formerly AMP for Endpoints)
Laggard
ND 42
Sentiment 54
#27
ND 38
Sentiment 55
#28
ND 38
Sentiment 55
#29

Carbon Black (VMware)

a.k.a. Carbon Black (VMware Carbon Black)
Laggard
ND 40
Sentiment 52
#30
ND 53
Sentiment 35
#31
ND 26
Sentiment 60
#32

VMware Carbon Black (Broadcom)

a.k.a. VMware Carbon Black (by Broadcom), VMware Carbon Black
Laggard
ND 42
Sentiment 41
#33
ND 26
Sentiment 56
#34

Cybereason

Laggard
ND 26
Sentiment 52
#35
ND 41
Sentiment 33
#36
ND 40
Sentiment 30
#37
ND 28
Sentiment 37
#38
ND 15
Sentiment 49
#39
ND 28
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. 8 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
CrowdStrike
Score: 190

Achieved the highest combined performance with ND 100 and Sentiment 90, establishing clear market leadership.

๐Ÿš€
Most Potential
CrowdStrike
Sentiment: 90

Identified by our AI analyst as showing strong growth momentum. Monitor their ability to maintain growth velocity as the market matures and enterprise customers evaluate cost optimization strategies.

โšก
Most Controversial
Symantec (Broadcom)
Variance: 430

Generated the most debate across AI models with a variance score of 430. Perception varies notably across different AI assessments.

๐Ÿ’Ž
Hidden Gem
Palo Alto Networks Cortex XDR
Sentiment: 86

Strong sentiment score of 86 despite lower market visibility (ND: 58). 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:
6441ca6c-b215-4285-8c00-c4fb5e5203e0
Archive File Pattern:
6441ca6c-b215-4285-8c00-c4fb5e5203e0_[model]_[run].json
Generated: December 07, 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: 6441ca6c-b215-4285-8c00-c4fb5e5203e0_claude_*.json
OPENAI
Provider: openai
Model: gpt-4o
Temperature: 0.1
Max Tokens: 8192
Runs: 3
Archive: 6441ca6c-b215-4285-8c00-c4fb5e5203e0_openai_*.json
GEMINI
Provider: google
Model: gemini-2.0-flash
Temperature: 0.1
Max Tokens: 8192
Runs: 3
Archive: 6441ca6c-b215-4285-8c00-c4fb5e5203e0_gemini_*.json
PERPLEXITY
Provider: perplexity
Model: sonar-pro
Temperature: 0.1
Max Tokens: 8192
Runs: 3
Archive: 6441ca6c-b215-4285-8c00-c4fb5e5203e0_perplexity_*.json
DEEPSEEK
Provider: deepseek
Model: deepseek-chat
Temperature: 0.1
Max Tokens: 8192
Runs: 3
Archive: 6441ca6c-b215-4285-8c00-c4fb5e5203e0_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: 6441ca6c-b215-4285-8c00-c4fb5e5203e0_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: Endpoint Protection Software

The endpoint protection software market in Q4 2025 demonstrates unprecedented polarization between next-generation platforms and legacy solutions. With 39 vendors analyzed across multiple AI models, the data reveals a market where narrative dominance and sentiment scores diverge significantly, indicating buyer sophistication in distinguishing between marketing presence and actual value delivery. The concentration of high-performing vendors in the 90+ ND range suggests market maturation and buyer consensus around preferred architectural approaches.

Traditional endpoint protection has evolved into comprehensive endpoint detection and response (EDR) and extended detection and response (XDR) platforms, fundamentally changing buyer evaluation criteria. Organizations now prioritize behavioral analysis, threat hunting capabilities, and automated response orchestration over signature-based detection methods. This shift has created a clear divide between vendors who successfully transitioned to cloud-native architectures and those still encumbered by legacy codebases and on-premises deployment models.

Please provide a comprehensive analysis of the **Endpoint Protection 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.