QuadrantX Market Intelligence

Electronic Signature Software
Report Q1 2026

How Leading LLMs Currently Interpret the Electronic Signature Software Market

View Rankings
35
Vendors Analyzed
5
LLM Models
15
Analysis Runs
7
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 35 vendors ranked by combined Narrative Dominance and Sentiment scores

#1
ND 99
Sentiment 95
#2

DocuSign

Leader
ND 99
Sentiment 93
#3
ND 99
Sentiment 91
#4

Adobe Acrobat Sign

a.k.a. Adobe Sign, Adobe Sign (within Adobe Acrobat) +1
Leader
ND 91
Sentiment 82
#5
ND 80
Sentiment 71
#6

PandaDoc

Leader
ND 81
Sentiment 68
#7

HelloSign

a.k.a. HelloSign (Dropbox Sign), HelloSign (by Dropbox)
Leader
ND 79
Sentiment 62
#8

SignNow

a.k.a. SignNow (airSlate), SignNow (by airSlate)
Challenger
ND 74
Sentiment 55
#9

eSign Genie

Challenger
ND 63
Sentiment 42
#10

OneSpan Sign

a.k.a. OneSpan Sign (formerly eSignLive)
Niche Player
ND 53
Sentiment 64
#11

eSignLive (OneSpan Sign)

a.k.a. eSignLive (Now OneSpan Sign), eSignLive (Vasco/OneSpan)
Niche Player
ND 49
Sentiment 64
#12

Zoho Sign

Laggard
ND 57
Sentiment 52
#13

Nitro Sign

Laggard
ND 60
Sentiment 44
#14

SignEasy

Laggard
ND 54
Sentiment 47
#15

eversign

Laggard
ND 39
Sentiment 53
#16

GetAccept

Laggard
ND 37
Sentiment 53
#17
ND 36
Sentiment 54
#18

Yousign

Laggard
ND 37
Sentiment 52
#19

SignRequest

a.k.a. SignRequest (by Citrix)
Laggard
ND 45
Sentiment 43
#20

Signable

Laggard
ND 38
Sentiment 49
#21
ND 49
Sentiment 37
#22

RightSignature (Citrix)

a.k.a. RightSignature, RightSignature (by Citrix)
Laggard
ND 44
Sentiment 36
#23

Scrive

Laggard
ND 22
Sentiment 56
#24

Universign

Laggard
ND 29
Sentiment 48
#25

Microsoft (Native Features in 365 & Power Platform)

a.k.a. Microsoft 365 native signatures
Laggard
ND 39
Sentiment 38
#26

Sertifi

Laggard
ND 22
Sentiment 55
#27
ND 22
Sentiment 48
#28

Docuseal

Laggard
ND 34
Sentiment 35
#29
ND 42
Sentiment 25
#30
ND 25
Sentiment 38
#31

Autenti

Laggard
ND 35
Sentiment 28
#32

Legalesign

Laggard
ND 22
Sentiment 37
#33

Signaturit

Laggard
ND 18
Sentiment 39
#34
ND 32
Sentiment 25
#35

Oneflow

Laggard
ND 15
Sentiment 41

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. 17 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“Š Market Movement Analysis

Comparing this report to a previous analysis from 27 days ago

Previous Report: ff91eaad... (Q4_2025)

๐Ÿ“ˆ
MOST IMPROVED
Secured Signing

Showed the biggest improvement since last report. ND changed by +13, Sentiment by +24 over 27 days.

๐Ÿ† Category Awards

Recognizing standout vendors based on AI-consensus analysis

๐Ÿ†
Most Valuable
Docusign Agreements Cloud
Score: 194

Achieved the highest combined performance with ND 99 and Sentiment 95, establishing clear market leadership.

๐Ÿš€
Most Potential
Microsoft (Native Features in 365 & Power Platform)
Sentiment: 38

Identified by our AI analyst as showing strong growth momentum. Monitor their Power Platform roadmap for enhanced agreement management capabilities and potential acquisition of specialized e-signature technology to strengthen their native offerings.

โšก
Most Controversial
KeepSolid Sign
Variance: 83

Generated the most debate across AI models with a variance score of 83. Perception varies notably across different AI assessments.

๐Ÿ’Ž
Hidden Gem
OneSpan Sign
Sentiment: 64

Strong sentiment score of 64 despite lower market visibility (ND: 53). Well-regarded by those who know them, representing an underappreciated option.

QuadrantX Methodology

QuadrantX applies a structured, multi-model approach using 15 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:
517086a1-63bb-4cad-ba5a-27350dbf8789
Archive File Pattern:
517086a1-63bb-4cad-ba5a-27350dbf8789_[model]_[run].json
Generated: January 03, 2026 (UTC)
Total LLM Runs: 15

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: 517086a1-63bb-4cad-ba5a-27350dbf8789_claude_*.json
OPENAI
Provider: openai
Model: gpt-4o
Temperature: 0.1
Max Tokens: 8192
Runs: 3
Archive: 517086a1-63bb-4cad-ba5a-27350dbf8789_openai_*.json
GEMINI
Provider: google
Model: gemini-2.0-flash
Temperature: 0.1
Max Tokens: 8192
Runs: 3
Archive: 517086a1-63bb-4cad-ba5a-27350dbf8789_gemini_*.json
PERPLEXITY
Provider: perplexity
Model: sonar-pro
Temperature: 0.1
Max Tokens: 8192
Runs: 3
Archive: 517086a1-63bb-4cad-ba5a-27350dbf8789_perplexity_*.json
DEEPSEEK
Provider: deepseek
Model: deepseek-chat
Temperature: 0.1
Max Tokens: 8192
Runs: 3
Archive: 517086a1-63bb-4cad-ba5a-27350dbf8789_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: 517086a1-63bb-4cad-ba5a-27350dbf8789_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: Electronic Signature Software

The electronic signature market has evolved from a simple document signing utility into a comprehensive agreement lifecycle management ecosystem. DocuSign's overwhelming dominance across multiple product lines demonstrates how market leaders have successfully expanded beyond core e-signature functionality into contract lifecycle management, approval workflows, and business process automation. The presence of 35 vendors in our analysis reflects a mature market with established players, emerging challengers, and a significant long tail of specialized solutions.

The sentiment data reveals critical user experience gaps across the vendor landscape. While narrative dominance scores show relatively strong market awareness for leading vendors, sentiment scores indicate persistent friction in evaluation, implementation, and ongoing usage. This disconnect suggests that despite widespread market education about e-signature benefits, many vendors struggle to deliver seamless user experiences that match buyer expectations formed by consumer-grade digital signing tools.

Please provide a comprehensive analysis of the **Electronic Signature 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.