예측 분석 시장 규모, 점유율, 동향 분석 보고서 : 구성요소별, 전개별, 기업 규모별, 최종 용도별, 지역별, 부문별 예측(2025-2030년)

Predictive Analytics Market Growth & Trends:

The global predictive analytics market size is estimated to reach USD 82.35 billion by 2030, registering a CAGR of 28.3% from 2025 to 2030, according to a new report by Grand View Research, Inc. Massive data dependence and adoption of advanced technologies such as AI, machine learning, and big data is expected to drive the demand for predictive analytics solutions over the forecast period. These solutions transform collected data into insights; for instance, they detect patterns to determine a suitable course of action. They have also been instrumental in the development of search advertising and recommendation engines. Growing awareness about the importance of available data and its analysis for predicting the future scenario is offering a competitive edge to end users, thereby driving the demand for these solutions.

Key factors driving the demand for predictive analytics solutions are enhanced product usability, adoption of new technologies, massive data deluge, and newer levers of differentiators. In addition, growing need for database management, data warehouses, forecasting, data mining, smart logistics, CRM, and data visualization in dashboards is supporting the growth of the market. These solutions help map the various stages of the buyer journey, which would help organizations adopt suitable marketing campaigns, subsequently leading to higher sales and customer retention. Increasing demand for these solutions from organizations to equip their business functions with analytical capabilities are also expected to drive the growth of the market over the forecast period.

Techniques for implementing predictive analytics include machine learning, deep learning, regression, regression modeling, mathematical, text mining, neural nets, genetic algorithms, clustering, decision trees, and data exploration techniques to gain insights from historical and present data. These techniques are increasingly being adopted by organizations for various applications such as CRM, direct marketing, risk management, portfolio management, fraud detection, underwriting, and credit scoring. These solutions therefore help organizations decide future strategies based on predicted outcomes for enhancing the overall performance in the coming years.

These solutions find applications in various end-use industries such as BFSI, healthcare, retail, manufacturing, government, sports, transportation and travel, IT, energy and utilities, and entertainment. These solutions help manage diversified applications across the aforementioned verticals. For instance, in the manufacturing industry, these solutions can be used for equipment maintenance management, workforce management, and cross-selling and up-selling. Moreover, the IT and telecom industry can adopt these solutions in sales, marketing, and CRM by implementing churn and pricing optimization.

Predictive Analytics Market Report Highlights:

• By component, the solutions segment held the largest revenue share of 80.6% in 2024, due to the increasing demand for advanced analytical tools that facilitate data-driven decision-making.
• Demand for cloud deployment is likely to increase owing to cost-effectiveness, faster data-processing, and ease in data handling offered by cloud platforms.
• The small and medium enterprises segment is expected to register highest CAGR over the forecast period, owing to growing need for enhancing operational performance by reducing overall operational costs with the help of these solutions.
• The retail and e-commerce segment is predicted to witness fastest growth over the forecast period, owing to increasing internet and smartphone penetration, along with digitalization across the globe.
• North America dominates the global market owing to technological advancements and presence of players in U.S. Financial funding to new players from venture capitalists is projected to intensify the competition in the market.

Table of Contents

Chapter 1. Methodology and Scope

• 1.1. Market Segmentation and Scope
• 1.2. Market Definition
• 1.3. Information Procurement
  • 1.3.1. Purchased Database
  • 1.3.2. GVR's Internal Database
  • 1.3.3. Secondary Sources and Third-Party Perspectives
  • 1.3.4. Primary Research
• 1.4. Information Analysis
  • 1.4.1. Data Analysis Models
• 1.5. Market Formulation and Data Visualization
• 1.6. Data Validation and Publishing

Chapter 2. Executive Summary

• 2.1. Market Snapshot
• 2.2. Segment Snapshot
• 2.3. Competitive Landscape Snapshot

Chapter 3. Predictive Analytics Market Variables, Trends and Scope

• 3.1. Market Lineage Outlook
• 3.2. Market Dynamics
  • 3.2.1. Market Driver Analysis
  • 3.2.2. Market Restraint Analysis
  • 3.2.3. Industry Challenge
• 3.3. Industry Analysis Tools
  • 3.3.1. PORTER's Analysis
    • 3.3.1.1. Bargaining power of the suppliers
    • 3.3.1.2. Bargaining power of the buyers
    • 3.3.1.3. Threats of substitution
    • 3.3.1.4. Threats from new entrants
    • 3.3.1.5. Competitive rivalry
  • 3.3.2. PESTEL Analysis
    • 3.3.2.1. Political landscape
    • 3.3.2.2. Economic and social landscape
    • 3.3.2.3. Technological landscape

Chapter 4. Predictive Analytics Market: Component Estimates and Trend Analysis

• 4.1. Predictive Analytics Market, By Component: Key Takeaways
• 4.2. Component Movement Analysis and Market Share, 2024 and 2030
• 4.3. Market Estimates and Forecasts, By Component, 2018 - 2030 (USD Million)
  • 4.3.1. Solutions
    • 4.3.1.1. Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 4.3.1.2. Customer Analytics
      • 4.3.1.2.1. Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 4.3.1.3. Financial Analytics
      • 4.3.1.3.1. Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 4.3.1.4. Marketing & Sales Analytics
      • 4.3.1.4.1. Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 4.3.1.5. Network Analytics
      • 4.3.1.5.1. Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 4.3.1.6. Customer Analytics
      • 4.3.1.6.1. Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 4.3.1.7. Risk Analytics
      • 4.3.1.7.1. Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 4.3.1.8. Supply Chain Analytics
      • 4.3.1.8.1. Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 4.3.1.9. Web and Social Media Analytics
      • 4.3.1.9.1. Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 4.3.2. Services
    • 4.3.2.1. Market Revenue Estimates and Forecasts, 2018 - 2030(USD Million)
    • 4.3.2.2. Deployment/Installation
      • 4.3.2.2.1. Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 4.3.2.3. Support & Maintenance
      • 4.3.2.3.1. Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
    • 4.3.2.4. Training & Consulting
      • 4.3.2.4.1. Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 5. Predictive Analytics Market: Deployment Estimates and Trend Analysis

• 5.1. Predictive Analytics Market, By Deployment: Key Takeaways
• 5.2. Deployment Movement Analysis and Market Share, 2024 and 2030
• 5.3. Market Estimates and Forecasts, By Deployment, 2018 - 2030 (USD Million)
  • 5.3.1. Cloud
    • 5.3.1.1. Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 5.3.2. On-Premise
    • 5.3.2.1. Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 6. Predictive Analytics Market: Enterprise Size Estimates and Trend Analysis

• 6.1. Predictive Analytics Market, By Enterprise Size: Key Takeaways
• 6.2. Enterprise Size Movement Analysis and Market Share, 2024 and 2030
• 6.3. Market Estimates and Forecasts, By Enterprise Size, 2018 - 2030 (USD Million)
  • 6.3.1. Small and Medium Size Enterprises
    • 6.3.1.1. Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 6.3.2. Large Enterprises
    • 6.3.2.1. Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 7. Predictive Analytics Market: End Use Estimates and Trend Analysis

• 7.1. Predictive Analytics Market, By End Use: Key Takeaways
• 7.2. End Use Movement Analysis and Market Share, 2024 and 2030
• 7.3. Market Estimates and Forecasts, By End Use, 2018 - 2030 (USD Million)
  • 7.3.1. Aerospace & Defense
    • 7.3.1.1. Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.3.2. Automotive & Transportation
    • 7.3.2.1. Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.3.3. BFSI
    • 7.3.3.1. Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.3.4. Healthcare
    • 7.3.4.1. Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.3.5. IT & Telecommunication
    • 7.3.5.1. Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.3.6. Media & Entertainment
    • 7.3.6.1. Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.3.7. Retail and E-commerce
    • 7.3.7.1. Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.3.8. Others
    • 7.3.8.1. Market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 8. Predictive Analytics Market: Regional Estimates and Trend Analysis

• 8.1. Predictive Analytics Market: Regional Outlook
• 8.2. Regional Marketplaces: Key Takeaways
• 8.3. Market Estimates and Forecasts, by Region, 2018 - 2030 (USD Million)
• 8.4. North America
  • 8.4.1. Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.4.2. U.S.
    • 8.4.2.1. Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.4.3. Canada
    • 8.4.3.1. Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.4.4. Mexico
    • 8.4.4.1. Market Estimates and Forecasts, 2018 - 2030 (USD Million)
• 8.5. Europe
  • 8.5.1. Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.5.2. UK
    • 8.5.2.1. Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.5.3. Germany
    • 8.5.3.1. Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.5.4. France
    • 8.5.4.1. Market Estimates and Forecasts, 2018 - 2030 (USD Million)
• 8.6. Asia Pacific
  • 8.6.1. Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.6.2. China
    • 8.6.2.1. Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.6.3. Japan
    • 8.6.3.1. Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.6.4. India
    • 8.6.4.1. Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.6.5. Australia
    • 8.6.5.1. Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.6.6. South Korea
    • 8.6.6.1. Market Estimates and Forecasts, 2018 - 2030 (USD Million)
• 8.7. Latin America
  • 8.7.1. Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.7.2. Brazil
    • 8.7.2.1. Market Estimates and Forecasts, 2018 - 2030 (USD Million)
• 8.8. Middle East and Africa
  • 8.8.1. Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.8.2. UAE
    • 8.8.2.1. Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.8.3. Saudi Arabia
    • 8.8.3.1. Market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 8.8.4. South Africa
    • 8.8.4.1. Market Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 9. Competitive Landscape

• 9.1. Company Categorization
• 9.2. Company Market Positioning
• 9.3. Company Heat Map Analysis
• 9.4. Company Profiles/Listing
  • 9.4.1. SAS Institute Inc.
    • 9.4.1.1. Company Overview
    • 9.4.1.2. Financial Performance
    • 9.4.1.3. Component Portfolio
    • 9.4.1.4. Recent Developments/ Strategic Initiatives
  • 9.4.2. IBM Corporation
    • 9.4.2.1. Company Overview
    • 9.4.2.2. Financial Performance
    • 9.4.2.3. Component Portfolio
    • 9.4.2.4. Recent Developments/ Strategic Initiatives
  • 9.4.3. SAP SE
    • 9.4.3.1. Company Overview
    • 9.4.3.2. Financial Performance
    • 9.4.3.3. Component Portfolio
    • 9.4.3.4. Recent Developments/ Strategic Initiatives
  • 9.4.4. Oracle
    • 9.4.4.1. Company Overview
    • 9.4.4.2. Financial Performance
    • 9.4.4.3. Component Portfolio
    • 9.4.4.4. Recent Developments/ Strategic Initiatives
  • 9.4.5. Microsoft
    • 9.4.5.1. Company Overview
    • 9.4.5.2. Financial Performance
    • 9.4.5.3. Component Portfolio
    • 9.4.5.4. Recent Developments/ Strategic Initiatives
  • 9.4.6. Salesforce, Inc.
    • 9.4.6.1. Company Overview
    • 9.4.6.2. Financial Performance
    • 9.4.6.3. Component Portfolio
    • 9.4.6.4. Recent Developments/ Strategic Initiatives
  • 9.4.7. Alteryx.
    • 9.4.7.1. Company Overview
    • 9.4.7.2. Financial Performance
    • 9.4.7.3. Component Portfolio
    • 9.4.7.4. Recent Developments/ Strategic Initiatives
  • 9.4.8. Altair Engineering Inc.
    • 9.4.8.1. Company Overview
    • 9.4.8.2. Financial Performance
    • 9.4.8.3. Component Portfolio
    • 9.4.8.4. Recent Developments/ Strategic Initiatives
  • 9.4.9. Cloud Software Group, Inc.
    • 9.4.9.1. Company Overview
    • 9.4.9.2. Financial Performance
    • 9.4.9.3. Component Portfolio
    • 9.4.9.4. Recent Developments/ Strategic Initiatives
  • 9.4.10. QlikTech International AB.
    • 9.4.10.1. Company Overview
    • 9.4.10.2. Financial Performance
    • 9.4.10.3. Component Portfolio
    • 9.4.10.4. Recent Developments/ Strategic Initiatives