예측 리드 스코어링 소프트웨어 시장 : 점유율 분석, 업계 동향과 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the predictive lead scoring software market size is projected to expand from USD 2.07 billion in 2025 and USD 2.46 billion in 2026 to USD 6.28 billion by 2031, registering a CAGR of 20.62% between 2026 and 2031.

This report is Segmented by Component (Software, and Services), Deployment (Cloud-Based, Hybrid, and On-Premises), Enterprise Size (Large Enterprises, and Small and Medium Enterprises), Application (Lead Qualification and Prioritization, and More), End User (Healthcare and Life Sciences, Retail and E-Commerce, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Predictive Lead Scoring Software Market Trends and Insights

Rising Need for Sales Pipeline Prioritization

The predictive lead-scoring software market is benefiting from a clear shift in how B2B sales teams manage pipeline volume. Sales teams now handle more leads, more account signals, and more channel activity than individual reps can review effectively. Salesforce reported that its own use of Agentforce for Revenue reduced quoting time by 75% and cut clicks per transaction by 87%, which shows how automation can return selling time to revenue teams. This makes prioritization less of a workflow preference and more of an operating requirement inside the predictive lead scoring software market. Once teams begin relying on model-guided ranking, it becomes harder to return to manual lead triage because that process is slower, less consistent, and more exposed to missed opportunities.

Expansion of AI-Based Revenue Operations Workflows

The predictive lead scoring software market is also being lifted by the spread of AI across broader revenue operations workflows. HG Insights strengthened this direction when it acquired MadKudu and launched a revenue growth agentic ecosystem that connected predictive lead and account scoring with data from Salesforce, Gong, Marketo, Salesloft, Outreach, and Snowflake. In this setting, scoring is no longer a stand-alone tool used only by SDR teams, because it becomes part of routing, sequencing, account review, and pipeline management. Salesforce also reported that Agentforce ARR reached USD 800 million in fiscal year 2026, with 29,000 deals closed, which shows the commercial scale of this shift toward agent-based execution. As more revenue teams adopt connected AI workflows, the predictive lead scoring software market is likely to see larger deal sizes and higher switching costs.

Data Quality Gaps Across Fragmented B2B Tech Stack

Data quality remains the clearest operational limitation in the predictive lead-scoring software market. Validity stated in its 2025 CRM data management report that organizations widely recognize accuracy problems, but only 32% said they actively struggle with them, which suggests many firms are still underestimating how weak data affects model output. When contact records, account identifiers, and activity fields move across many connected systems, errors can compound before data reaches the scoring engine. That creates unstable rankings, weak rep confidence, and lower returns from implementation inside the predictive lead scoring software market. The issue is especially serious for organizations trying to combine CRM, marketing automation, customer success, and third-party intent data into one model without consistent field governance.

Other drivers and restraints analyzed in the detailed report include:

1. Growing Demand for Real-Time Intent and Behavior Signals
2. Wider Adoption of Cloud CRM and Marketing Automation Suites
3. Model Drift from Rapidly Changing Buyer Journeys

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Software accounted for 72.41% of revenue in 2025, underscoring buyers' strong preference for embedded scoring tools within CRM and marketing automation environments. This part of the predictive lead scoring software market has been shaped by vendors that embed scoring within larger platforms, reducing procurement friction and lowering the cost of first adoption. Salesforce, HubSpot, and Microsoft Dynamics 365 all helped normalize this pattern by making predictive functions available within broader workflow systems rather than selling scoring as a stand-alone purchase. As a result, basic scoring has become harder to defend as a premium feature in the predictive lead scoring software market.

Services are projected to grow at a 23.84% CAGR through 2031, making it the faster-growing component, even though software remains larger today. Buyers increasingly need help with model setup, governance, data mapping, retraining, and change management, and that need continues after initial deployment. Clari and Salesloft said after their December 2025 merger that they doubled R&D investment and committed to new AI workflow automation services, which supports the view that service depth is becoming more important in customer retention. The predictive lead scoring software market is therefore splitting between widely available embedded software and higher-value service work tied to calibration and operational improvement.

Cloud-based deployment accounted for 68.19% of revenue in 2025, reflecting the technical needs of modern scoring systems. Real-time model performance depends on live CRM synchronization, behavioral event feeds, and enrichment APIs, and these are much easier to support in cloud environments than in isolated local systems. This is one reason the predictive lead scoring software market has remained closely linked to the broader adoption of cloud CRM platforms. The cloud model also suits buyers who want faster updates, easier scaling, and lower internal IT burden.

Hybrid deployment is projected to grow at a 22.63% CAGR through 2031, driven by enterprises that need both flexibility and tighter control over sensitive data. Regulated sectors and multinational firms often need private infrastructure for parts of the workflow, while still relying on cloud services for signal ingestion and model serving. That combination is becoming more common in the predictive lead scoring software market as privacy, residency, and governance concerns move closer to daily operations. On-premises deployment still matters in government, defense, and some industrial settings, but it is increasingly used for selected scoring functions rather than as a full independent architecture.

Complete Report Scope:

• By Component
  • Software
  • Services
• By Deployment
  • Cloud-Based
  • Hybrid
  • On-Premises
• By Enterprise Size
  • Large Enterprises
  • Small and Medium Enterprises
• By Application
  • Lead Qualification and Prioritization
  • Sales Opportunity Management
  • Marketing Campaign Optimization
  • Customer Acquisition and Conversion Optimization
  • Account-Based Marketing (ABM)
• By End User Industry
  • IT and Telecommunication
  • BFSI
  • Healthcare and Life Sciences
  • Retail and E-Commerce
  • Industrial Manufacturing
  • Education and Research Institutions
  • Media and Entertainment
  • Government and Administration
  • Energy and Utilities
  • Other End User Industries
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Europe
    • Germany
    • United Kingdom
    • France
    • Russia
    • Spain
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • South Korea
    • Southeast Asia
    • Rest of Asia-Pacific
  • Middle East and Africa
    • Middle East
      • Saudi Arabia
      • United Arab Emirates
      • Rest of Middle East
    • Africa
      • South Africa
      • Nigeria
      • Rest of Africa

Geography Analysis

North America accounted for 36.71% of global revenue in 2025, making it the largest market share holder in the predictive lead scoring software market. The region benefits from deep CRM penetration, a high concentration of B2B software companies, and selling environments where customer acquisition costs are already under pressure. Those conditions make lead prioritization easier to justify and faster to operationalize than in less mature software markets. Europe remained the second-largest region, supported by enterprise demand in Germany, the United Kingdom, and France. The predictive lead scoring software market in Europe also reflects a stronger focus on explainability, audit trails, and data-handling controls, as buyers often treat these features as procurement requirements rather than optional upgrades.

The EU AI Act added another layer to that regional pattern as its general-purpose AI obligations became applicable in August 2025 and broader high-risk system provisions rolled into 2026 enforcement. This is pushing vendors in the predictive lead-scoring software market to place greater emphasis on transparency, documentation, and model governance when serving European customers. Asia-Pacific is projected to grow at a 25.92% CAGR through 2031, making it the fastest-growing regional segment in the predictive lead scoring software market. India and Southeast Asia are emerging as the main growth engines, while Japan and South Korea continue to build on established enterprise bases.

Salesforce reported in July 2026 that 81% of marketers in India had adopted AI in their workflows, which shows that the region is already moving beyond early experimentation. Japan is also progressing as localization improves and local enterprises become more comfortable using AI within customer-facing workflows. South America is still in earlier stages of development, but Brazil and Argentina are seeing demand as financial services and digital commerce firms update their sales systems. The Middle East and Africa remain a smaller opportunity set, with the strongest activity concentrated in the UAE and Saudi Arabia, where national digitalization programs are supporting wider AI software adoption.

1. 6sense, Inc.
2. HubSpot, Inc.
3. Salesforce, Inc.
4. Adobe Inc.
5. Zoho Corporation Pvt. Ltd.
6. Microsoft Corporation
7. Oracle Corporation
8. Freshworks Inc.
9. Pipedrive, Inc.
10. LeadSquared Inc.
11. Demandbase, Inc.
12. Clari Inc.
13. Apollo.io, Inc.
14. ActiveCampaign, LLC
15. SugarCRM Inc.
16. Qualified.com
17. MadKudu, Inc.
18. Outreach Corporation
19. ZoomInfo, Inc

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 Rising Need for Sales Pipeline Prioritization
  • 4.2.2 Expansion of AI-Based Revenue Operations Workflows
  • 4.2.3 Growing Demand for Real-Time Intent And Behavior Signals
  • 4.2.4 Wider Adoption of Cloud CRM and Marketing Automation Suites
  • 4.2.5 Higher Conversion Pressure in High-CAC Digital Acquisition Channels
  • 4.2.6 Regulatory Preference for Auditability in Model-Based Sales Decisions
• 4.3 Market Restraints
  • 4.3.1 Data Quality Gaps Across Fragmented B2B Tech Stacks
  • 4.3.2 Model Drift From Rapidly Changing Buyer Journeys
  • 4.3.3 Limited Internal Maturity in Sales And Marketing Process Design
  • 4.3.4 Integration Complexity with Legacy CRM And ERP Environments
• 4.4 Impact of Macroeconomic Factors on the Market
• 4.5 Industry Value-Chain Analysis
• 4.6 Technology Outlook
• 4.7 Regulatory Landscape
• 4.8 Porter's Five Forces Analysis
  • 4.8.1 Threat of New Entrants
  • 4.8.2 Bargaining Power of Suppliers
  • 4.8.3 Bargaining Power of Buyers
  • 4.8.4 Threat of Substitutes
  • 4.8.5 Intensity of Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Component
  • 5.1.1 Software
  • 5.1.2 Services
• 5.2 By Deployment
  • 5.2.1 Cloud-Based
  • 5.2.2 Hybrid
  • 5.2.3 On-Premises
• 5.3 By Enterprise Size
  • 5.3.1 Large Enterprises
  • 5.3.2 Small and Medium Enterprises
• 5.4 By Application
  • 5.4.1 Lead Qualification and Prioritization
  • 5.4.2 Sales Opportunity Management
  • 5.4.3 Marketing Campaign Optimization
  • 5.4.4 Customer Acquisition and Conversion Optimization
  • 5.4.5 Account-Based Marketing (ABM)
• 5.5 By End User Industry
  • 5.5.1 IT and Telecommunication
  • 5.5.2 BFSI
  • 5.5.3 Healthcare and Life Sciences
  • 5.5.4 Retail and E-Commerce
  • 5.5.5 Industrial Manufacturing
  • 5.5.6 Education and Research Institutions
  • 5.5.7 Media and Entertainment
  • 5.5.8 Government and Administration
  • 5.5.9 Energy and Utilities
  • 5.5.10 Other End User Industries
• 5.6 By Geography
  • 5.6.1 North America
    • 5.6.1.1 United States
    • 5.6.1.2 Canada
    • 5.6.1.3 Mexico
  • 5.6.2 South America
    • 5.6.2.1 Brazil
    • 5.6.2.2 Argentina
    • 5.6.2.3 Rest of South America
  • 5.6.3 Europe
    • 5.6.3.1 Germany
    • 5.6.3.2 United Kingdom
    • 5.6.3.3 France
    • 5.6.3.4 Russia
    • 5.6.3.5 Spain
    • 5.6.3.6 Rest of Europe
  • 5.6.4 Asia-Pacific
    • 5.6.4.1 China
    • 5.6.4.2 Japan
    • 5.6.4.3 India
    • 5.6.4.4 South Korea
    • 5.6.4.5 Southeast Asia
    • 5.6.4.6 Rest of Asia-Pacific
  • 5.6.5 Middle East and Africa
    • 5.6.5.1 Middle East
      • 5.6.5.1.1 Saudi Arabia
      • 5.6.5.1.2 United Arab Emirates
      • 5.6.5.1.3 Rest of Middle East
    • 5.6.5.2 Africa
      • 5.6.5.2.1 South Africa
      • 5.6.5.2.2 Nigeria
      • 5.6.5.2.3 Rest of Africa

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Strategic Moves
• 6.3 Market Share Analysis
• 6.4 Company Profiles (includes Global Level Overview, Market Level Overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share, Products and Services, Recent Developments)
  • 6.4.1 6sense, Inc.
  • 6.4.2 HubSpot, Inc.
  • 6.4.3 Salesforce, Inc.
  • 6.4.4 Adobe Inc.
  • 6.4.5 Zoho Corporation Pvt. Ltd.
  • 6.4.6 Microsoft Corporation
  • 6.4.7 Oracle Corporation
  • 6.4.8 Freshworks Inc.
  • 6.4.9 Pipedrive, Inc.
  • 6.4.10 LeadSquared Inc.
  • 6.4.11 Demandbase, Inc.
  • 6.4.12 Clari Inc.
  • 6.4.13 Apollo.io, Inc.
  • 6.4.14 ActiveCampaign, LLC
  • 6.4.15 SugarCRM Inc.
  • 6.4.16 Qualified.com
  • 6.4.17 MadKudu, Inc.
  • 6.4.18 Outreach Corporation
  • 6.4.19 ZoomInfo, Inc

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment