예측 영업 인텔리전스 소프트웨어 : 시장 점유율 분석, 업계 동향 및 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the predictive sales intelligence software market size is projected to expand from USD 2.93 billion in 2025 and USD 3.36 billion in 2026 to USD 6.63 billion by 2031, registering a CAGR of 14.56% between 2026 to 2031.

This report is Segmented by Component (Software, and Services), Deployment Mode (Cloud, and On-Premises), Organization Size (Small and Medium Enterprises, and Large Enterprises), Application (Lead Generation and Prospecting, Predictive Lead Scoring, and More), End-User Industry (IT and Telecommunication, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Predictive Sales Intelligence Software Market Trends and Insights

AI-Native Buyer Signal Scoring Reshapes Conversion Economics

In 2026, 77% of B2B sales professionals said they would rely on AI if it could predict a prospect's likelihood to buy with 90% accuracy, up from 37% in 2025. That shift shows how quickly buying teams are moving from curiosity to practical dependence on model-led prioritization. 6sense reported that opportunities on prioritized 6QA accounts posted 29% higher opportunity values and 33% larger deal sizes than non-prioritized accounts between Q2 2025 and Q1 2026. The strongest results are appearing where models are trained on closed-won and closed-lost outcomes instead of simple activity signals. Buyers with sparse or biased CRM histories still face weaker scoring because the system reflects old win patterns more than present demand conditions. Vendors are responding by moving toward faster learning cycles so the predictive sales intelligence software market can shorten the gap between fresh buying signals and sales action.

RevOps Standardization Creates a New Data Governance Imperative

Revenue operations consolidation is broadening the role of predictive sales intelligence software from lead qualification into forecasting, territory planning, and renewal monitoring. Salesforce's 2026 study of 4,050 sales professionals across 22 countries found that 44% of German sales leaders said siloed systems hinder AI initiatives. The same study found that 72% prioritize data cleansing and standardization before wider AI use. That pattern means the return from the predictive sales intelligence software market rises when firms already manage customer data under a unified operating model. Markets with stronger RevOps discipline, therefore, give vendors a wider opening for full platform adoption instead of limited prospecting use.

Data Privacy Regulation Compresses the Contact Data Supply Chain

The EDPB published guidance in July 2026 that tightened expectations around lawful grounds for large-scale web scraping of personal data in generative AI contexts. Those rules affect the predictive sales intelligence software market directly because professional contact details and profiling signals are core inputs for enrichment and scoring. The compliance burden is not staying inside Europe because multinational buyers are applying similar controls across broader operating footprints. Smaller vendors face higher legal engineering and workflow redesign costs when they cannot spread compliance investment across a large customer base. This slows product roadmaps and raises the likelihood that scaled incumbents gain further ground in the predictive sales intelligence software market. The pressure is most visible where outreach transparency, consent handling, and audit readiness are becoming purchase requirements rather than optional features.

Other drivers and restraints analyzed in the detailed report include:

1. Cloud Self-Serve Models Unlock the Mid-Market Growth Layer
2. Intent Data Fusion Widens the Signal Quality Gap Between Vendors
3. Signal Decay Erodes Predictive Model Accuracy Over Time

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

Segment Analysis

Software held 62.43% share in 2025, which kept the predictive sales intelligence software market anchored in platform-led delivery rather than service-led execution. That lead reflects how buyers are prioritizing intent dashboards, predictive scoring engines, workflow automation, and CRM-embedded alerting within one operating layer. The software side also benefits from SaaS economics, where additional users carry lower incremental delivery costs and feature updates move faster than traditional enterprise release cycles. At the same time, the predictive sales intelligence software industry is not reducing the role of human support because model calibration and data governance still require specialist input during complex rollouts.

Services are projected to advance at a 16.82% CAGR through 2031, which makes them the fastest-growing component even though software remains larger. This reflects a growing need for workflow design, CRM cleanup, model tuning, and deployment oversight in enterprise environments. The service requirement tends to be strongest where organizations want to embed intelligence across forecasting, territory planning, and account prioritization at the same time. Apollo.io's acquisition of Pocus in March 2026 also pointed to a market direction where enterprise signal intelligence is being folded more tightly into a unified platform experience. As that shift continues, the predictive sales intelligence software market is likely to see a blur between packaged software capability and what once sat inside separate professional services projects.

Cloud held 63.81% predictive sales intelligence software market share in 2025 and is also projected to record the fastest growth at a 15.39% CAGR through 2031. That position continues to strengthen as API-led integrations reduce the need for custom deployment work. The model aligns with how revenue teams now buy software, as activation speed matters more than infrastructure ownership in most commercial settings. On-premises remains relevant in regulated environments such as financial services, defense-linked accounts, and contractor ecosystems where residency or internal security rules remain strict. Even so, the predictive sales intelligence software market is increasingly shaped by environments where shared signal layers and linked data flows work better in cloud settings than in isolated installations.

The deeper divide now sits between cloud-native platforms and older systems that were merely moved into the cloud. Cloud-native vendors can ingest more signal types, retrain models faster, and scale compute for live scoring with less operational friction. Apollo.io's 2026 rollout of MCP-based access through Claude and ChatGPT showed how a cloud-first design makes direct workflow activation easier for end users. Compliance requirements are also making on-premises deployments harder to defend because documentation, logging, and audit controls are easier to maintain in governed cloud environments. For that reason, cloud remains both the largest and the fastest-moving delivery layer in the predictive sales intelligence software market.

Complete Report Scope:

• By Component
  • Software
  • Services
• By Deployment Mode
  • Cloud
  • On-Premises
• By Organization Size
  • Small and Medium Enterprises
  • Large Enterprises
• By Application
  • Lead Generation and Prospecting
  • Predictive Lead Scoring
  • Sales Forecasting
  • Data Management and Enrichment
  • Sales Performance Analytics and Reporting
  • Other Applications
• By End-User Industry
  • Banking, Financial Services, and Insurance (BFSI)
  • IT and Telecommunication
  • Healthcare and Life Sciences
  • Retail and E-commerce
  • Manufacturing
  • Media and Entertainment
  • Government and Public Sector
  • 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
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Rest of Asia-Pacific
  • Middle East and Africa
    • Middle East
      • Turkey
      • Israel
      • Saudi Arabia
      • United Arab Emirates
      • Rest of Middle East
    • Africa
      • South Africa
      • Rest of Africa

Geography Analysis

North America held 34.56% of the predictive sales intelligence software market share in 2025, which kept it as the largest regional contributor. The United States remains the center of demand because it combines dense enterprise software spending with mature CRM adoption and high GTM tool usage. The U.S. Census Bureau reported that business AI use reached 19.8% in May 2026, which provided a broad baseline for the wider digital adoption environment. Canada is adding demand from SaaS and financial services buyers, while Mexico is advancing as multinational firms extend standardized revenue stacks into local operations. Across the predictive sales intelligence software market, this regional lead still rests on infrastructure maturity more than on price competition.

Europe remains an important demand center because buying sophistication is high even as compliance burdens rise. Germany and the United Kingdom continue to anchor commercial demand, particularly where enterprise teams want stronger forecasting discipline and better data governance. EDPB guidance on web scraping and related privacy obligations is reshaping product architecture choices for vendors serving the region. That means the predictive sales intelligence software market in Europe rewards platforms that can support auditability, consent discipline, and transparent AI-enabled outreach.

Asia-Pacific is projected to expand at a 19.42% CAGR through 2031, which makes it the fastest-growing region in the predictive sales intelligence software market. China is benefiting from fast enterprise digitalization, while India is supported by stronger SaaS adoption and a large outsourcing base that naturally values lead management efficiency. Japan and South Korea add growth through advanced enterprise IT environments and formal AI adoption efforts inside larger corporations. South America, the Middle East, and Africa still account for smaller shares, but adoption is building in Brazil, Argentina, Saudi Arabia, the United Arab Emirates, Israel, and South Africa as cloud-based entry tiers reduce commitment thresholds.

1. ZoomInfo Technologies Inc.
2. Salesforce, Inc.
3. Apollo.io, Inc.
4. 6sense Insights, Inc.
5. Demandbase, Inc.
6. LinkedIn Corporation
7. Dun and Bradstreet Holdings, Inc.
8. HubSpot, Inc.
9. Oracle Corporation
10. Cognism Ltd.
11. Lusha Systems Ltd.
12. SalesIntel LLC
13. HG Insights LLC
14. LeadGenius Inc.
15. Outreach, Inc.
16. SalesLoft, Inc.
17. Clearbit, Inc.
18. UpLead LLC
19. Zoho Corporation Pvt. Ltd.
20. Clari 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 Impact of Macroeconomic Factors on the Market
• 4.3 Market Drivers
  • 4.3.1 AI-Native Buyer Signal Scoring Improves Conversion Prioritization
  • 4.3.2 RevOps Standardization Drives Cross-Functional Forecast Visibility
  • 4.3.3 Cloud-Based Self-Serve Adoption Expands Mid-Market Penetration
  • 4.3.4 Intent Data Fusion With CRM and Marketing Automation Improves Signal Quality
  • 4.3.5 Workflow Automation Reduces SDR and AE Research Time
  • 4.3.6 Account-Based Selling Expansion Raises Demand for Predictive Targeting
• 4.4 Market Restraints
  • 4.4.1 Data Privacy Constraints Limit Contact and Intent Data Collection
  • 4.4.2 Signal Decay and Data Staleness Reduce Model Accuracy
  • 4.4.3 Integration Complexity Across CRM, MAP, and CDP Stacks Delays Deployment
  • 4.4.4 Budget Scrutiny Slows Enterprise-Wide Rollouts Outside Core Revenue Teams
• 4.5 Industry Value-Chain Analysis
• 4.6 Pricing Analysis
• 4.7 Technological Outlook
• 4.8 Regulatory Landscape
• 4.9 Porter's Five Forces Analysis
  • 4.9.1 Bargaining Power of Buyers
  • 4.9.2 Bargaining Power of Suppliers
  • 4.9.3 Threat of New Entrants
  • 4.9.4 Threat of Substitutes
  • 4.9.5 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 Mode
  • 5.2.1 Cloud
  • 5.2.2 On-Premises
• 5.3 By Organization Size
  • 5.3.1 Small and Medium Enterprises
  • 5.3.2 Large Enterprises
• 5.4 By Application
  • 5.4.1 Lead Generation and Prospecting
  • 5.4.2 Predictive Lead Scoring
  • 5.4.3 Sales Forecasting
  • 5.4.4 Data Management and Enrichment
  • 5.4.5 Sales Performance Analytics and Reporting
  • 5.4.6 Other Applications
• 5.5 By End-User Industry
  • 5.5.1 Banking, Financial Services, and Insurance (BFSI)
  • 5.5.2 IT and Telecommunication
  • 5.5.3 Healthcare and Life Sciences
  • 5.5.4 Retail and E-commerce
  • 5.5.5 Manufacturing
  • 5.5.6 Media and Entertainment
  • 5.5.7 Government and Public Sector
  • 5.5.8 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 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 Australia
    • 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 Turkey
      • 5.6.5.1.2 Israel
      • 5.6.5.1.3 Saudi Arabia
      • 5.6.5.1.4 United Arab Emirates
      • 5.6.5.1.5 Rest of Middle East
    • 5.6.5.2 Africa
      • 5.6.5.2.1 South Africa
      • 5.6.5.2.2 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 ZoomInfo Technologies Inc.
  • 6.4.2 Salesforce, Inc.
  • 6.4.3 Apollo.io, Inc.
  • 6.4.4 6sense Insights, Inc.
  • 6.4.5 Demandbase, Inc.
  • 6.4.6 LinkedIn Corporation
  • 6.4.7 Dun and Bradstreet Holdings, Inc.
  • 6.4.8 HubSpot, Inc.
  • 6.4.9 Oracle Corporation
  • 6.4.10 Cognism Ltd.
  • 6.4.11 Lusha Systems Ltd.
  • 6.4.12 SalesIntel LLC
  • 6.4.13 HG Insights LLC
  • 6.4.14 LeadGenius Inc.
  • 6.4.15 Outreach, Inc.
  • 6.4.16 SalesLoft, Inc.
  • 6.4.17 Clearbit, Inc.
  • 6.4.18 UpLead LLC
  • 6.4.19 Zoho Corporation Pvt. Ltd.
  • 6.4.20 Clari Inc.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-space and Unmet-Need Assessment