예측 분석 시장 : 시장 규모, 점유율 및 성장률, 산업 분석 - 유형별, 용도별, 지역별 인사이트 및 예측(2026-2034년)

Growth Factors of predictive analytics Market

The global predictive analytics market has gained significant traction as businesses increasingly adopt data-driven decision-making strategies. According to recent reports, the market was valued at USD 22.22 billion in 2025, expected to grow to USD 27.56 billion in 2026, and is projected to reach USD 116.65 billion by 2034, exhibiting a CAGR of 19.8% during the forecast period. In 2025, North America dominated the market with a 38.7% share, reflecting the region's strong adoption of advanced technologies and data analytics solutions across industries.

Predictive analytics software uses historical and real-time data to forecast future trends and outcomes. By leveraging statistical models, machine learning, and AI algorithms, the software identifies patterns and relationships within data, enabling businesses to make informed decisions. This technology is widely applied across finance, marketing, healthcare, manufacturing, retail, BFSI, and telecom industries, helping organizations optimize processes, enhance operational efficiency, and gain a competitive edge.

Market Trends

A significant trend in the market is the integration of predictive analytics with traditional Business Intelligence (BI) platforms. By combining predictive modeling with historical BI insights, organizations gain a comprehensive understanding of past, present, and future trends. This integration enables real-time predictions, proactive decision-making, and improved business performance. Enhanced visualization and user-friendly interfaces empower both analysts and business users to access actionable insights seamlessly, thereby driving market adoption across enterprises.

Market Growth Factors

• Rising demand for data-driven decision-making: Companies are increasingly leveraging predictive analytics to anticipate market shifts, customer preferences, and operational challenges. For instance, according to Keboola, 90% of business professionals acknowledge the role of data analytics in driving digital transformation initiatives.
• Integration with AI and IoT: Combining predictive analytics with AI and IoT enhances forecasting accuracy, operational efficiency, and automation.
• SME adoption: Small and medium enterprises in regions like Asia Pacific, Middle East & Africa, and South America are gradually adopting predictive analytics to enhance competitiveness and improve product offerings.

Restraining Factors

Despite the strong growth potential, high implementation costs and data quality challenges may limit market expansion. Smaller organizations often face budget constraints and require skilled personnel to deploy and maintain predictive analytics systems effectively. In addition, poor data accuracy, consistency, and accessibility can reduce the reliability of insights, impacting decision-making and restraining adoption.

Market Segmentation

By Deployment: The market is divided into cloud and on-premise solutions. The cloud segment dominated with 79.11% share in 2026, driven by scalability, flexibility, cost efficiency, and accessibility for organizations of all sizes.

By Enterprise Type: Large enterprises dominated the market with a 61.69% share in 2026, as predictive analytics allows them to optimize operations, improve decision-making, and gain a competitive advantage. SMEs are projected to grow steadily due to increasing AI adoption and the need to enhance operational efficiency.

By Application: The market is segmented into demand forecasting, financial risk forecasting, pricing personalization, predictive maintenance, and others. The predictive maintenance segment holds the largest share, enabling industries to optimize equipment reliability, reduce costs, and improve operational efficiency. Financial risk forecasting is expected to grow at the highest CAGR due to its importance in risk assessment and compliance.

By End-User: BFSI dominates with 18.15% share in 2026, benefiting from improved risk management, regulatory compliance, and operational efficiency. The healthcare segment is expected to witness the highest CAGR, leveraging predictive analytics for patient care, diagnostics, and operational planning.

Regional Insights

• North America: Dominated with USD 8.61 billion in 2025 and USD 10.66 billion in 2026, driven by adoption of advanced analytics in the U.S. and Canada. The U.S. market is projected to reach USD 7.16 billion in 2026.
• Asia Pacific: Expected to grow at the highest CAGR, with Japan reaching USD 1.31 billion, China USD 2.16 billion, and India USD 1.21 billion by 2026.
• Europe: Steady growth with UK at USD 1.80 billion and Germany at USD 1.68 billion in 2026, driven by increased data volumes and awareness of analytics benefits.
• Middle East & Africa and South America: Moderate growth supported by local startups, technology adoption, and expansion of key market players.

Key Industry Players

Major players focus on product innovation, partnerships, acquisitions, and expansion strategies to strengthen market position. Key companies include:

SAP SE, IBM Corporation, TIBCO Software, Amazon Web Services, Alteryx, Cloudera, SAS Institute, FICO, Accenture, AVEVA Group plc.

Recent Developments:

• Feb 2024: Wipro launched Enterprise AI-Ready Platform, integrating predictive analytics for dynamic workload management.
• June 2023: Accenture acquired Nextira to enhance predictive analytics solutions for cloud-native applications.
• May 2023: Teradata and FICO introduced integrated analytics solutions for real-time payments fraud and supply chain optimization.
• Feb 2023: AVEVA introduced predictive analytics software for industrial asset monitoring, improving performance and reliability.

Conclusion

The predictive analytics market, valued at USD 22.22 billion in 2025 and expected to reach USD 116.65 billion by 2034, is experiencing rapid growth driven by data-driven decision-making, AI and IoT integration, and cloud-based solutions. North America leads in market share, while Asia Pacific demonstrates the highest growth potential. Despite challenges such as high costs and data accuracy issues, predictive analytics continues to transform industries including BFSI, healthcare, telecom, and manufacturing, enhancing operational efficiency, reducing risks, and supporting strategic business growth globally.

Segmentation

By Deployment

• Cloud
• On-premise

By Enterprise Type

• Large Enterprises
• Small and Medium Enterprises (SMEs)

By Application

• Demand Forecasting
• Financial Risk Forecasting
• Pricing Personalization
• Predictive Maintenance
• Others (Churn Prevention)

By End-user

• BFSI
• Automotive
• Telecom/Media
• Healthcare
• Life Sciences
• Retail
• Energy & Utility
• Government
• Others (Manufacturing, Education)

By Region

• North America (By Deployment, By Enterprise Type, By Application, By End-user, and By Country)
  • U.S. (By End-user)
  • Canada (By End-user)
  • Mexico (By End-user)
• South America (By Deployment, By Enterprise Type, By Application, By End-user, and By Country)
  • Brazil (By End-user)
  • Argentina (By End-user)
  • Rest of South America
• Europe (By Deployment, By Enterprise Type, By Application, By End-user, and By Country)
  • U.K. (By End-user)
  • Germany (By End-user)
  • France (By End-user)
  • Italy (By End-user)
  • Spain (By End-user)
  • Russia (By End-user)
  • Benelux (By End-user)
  • Nordics (By End-user)
  • Rest of Europe
• Middle East & Africa (By Deployment, By Enterprise Type, By Application, By End-user, and By Country)Turkey (By End-user)
  • Israel (By End-user)
  • GCC (By End-user)
  • North Africa (By End-user)
  • South Africa (By End-user)
  • Rest of the Middle East & Africa
• Asia Pacific (By Deployment, By Enterprise Type, By Application, By End-user, and By Country)
  • China (By End-user)
  • Japan (By End-user)
  • India (By End-user)
  • South Korea (By End-user)
  • ASEAN (By End-user)
  • Oceania (By End-user)
  • Rest of Asia Pacific

Table of Content

1. Introduction

• 1.1. Definition, By Segment
• 1.2. Research Methodology/Approach
• 1.3. Data Sources

2. Executive Summary

3. Market Dynamics

• 3.1. Macro and Micro Economic Indicators
• 3.2. Drivers, Restraints, Opportunities and Trends

4. Competition Landscape

• 4.1. Business Strategies Adopted by Key Players
• 4.2. Consolidated SWOT Analysis of Key Players
• 4.3. Global Predictive Analytics Key Players Market Share/Ranking, 2025

5. Global Predictive Analytics Market Size Estimates and Forecasts, By Segments, 2021-2034

• 5.1. Key Findings
• 5.2. By Deployment (USD)
  • 5.2.1. Cloud
  • 5.2.2. On-premise
• 5.3. By Enterprise Type (USD)
  • 5.3.1. Large Enterprises
  • 5.3.2. Small and Medium Enterprises (SMEs)
• 5.4. By Application (USD)
  • 5.4.1. Demand Forecasting
  • 5.4.2. Financial Risk Forecasting
  • 5.4.3. Pricing Personalization
  • 5.4.4. Predictive Maintenance
  • 5.4.5. Others (Churn Prevention, etc.)
• 5.5. By End-user (USD)
  • 5.5.1. BFSI
  • 5.5.2. Automotive
  • 5.5.3. Telecom/Media
  • 5.5.4. Healthcare
  • 5.5.5. Life Sciences
  • 5.5.6. Retail
  • 5.5.7. Energy & Utility
  • 5.5.8. Government
  • 5.5.9. Others (Manufacturing, Education, etc.)
• 5.6. By Region (USD)
  • 5.6.1. North America
  • 5.6.2. South America
  • 5.6.3. Europe
  • 5.6.4. Middle East & Africa
  • 5.6.5. Asia Pacific

6. North America Predictive Analytics Market Size Estimates and Forecasts, By Segments, 2021-2034

• 6.1. Key Findings
• 6.2. By Deployment (USD)
  • 6.2.1. Cloud
  • 6.2.2. On-premise
• 6.3. By Enterprise Type (USD)
  • 6.3.1. Large Enterprises
  • 6.3.2. Small and Medium Enterprises (SMEs)
• 6.4. By Application (USD)
  • 6.4.1. Demand Forecasting
  • 6.4.2. Financial Risk Forecasting
  • 6.4.3. Pricing Personalization
  • 6.4.4. Predictive Maintenance
  • 6.4.5. Others (Churn Prevention, etc.)
• 6.5. By End-user (USD)
  • 6.5.1. BFSI
  • 6.5.2. Automotive
  • 6.5.3. Telecom/Media
  • 6.5.4. Healthcare
  • 6.5.5. Life Sciences
  • 6.5.6. Retail
  • 6.5.7. Energy & Utility
  • 6.5.8. Government
  • 6.5.9. Others (Manufacturing, Education, etc.)
• 6.6. By Country (USD)
  • 6.6.1. United States
    • 6.6.1.1. End-user
  • 6.6.2. Canada
    • 6.6.2.1. End-user
  • 6.6.3. Mexico
    • 6.6.3.1. End-user

7. South America Predictive Analytics Market Size Estimates and Forecasts, By Segments, 2021-2034

• 7.1. Key Findings
• 7.2. By Deployment (USD)
  • 7.2.1. Cloud
  • 7.2.2. On-premise
• 7.3. By Enterprise Type (USD)
  • 7.3.1. Large Enterprises
  • 7.3.2. Small and Medium Enterprises (SMEs)
• 7.4. By Application (USD)
  • 7.4.1. Demand Forecasting
  • 7.4.2. Financial Risk Forecasting
  • 7.4.3. Pricing Personalization
  • 7.4.4. Predictive Maintenance
  • 7.4.5. Others (Churn Prevention, etc.)
• 7.5. By End-user (USD)
  • 7.5.1. BFSI
  • 7.5.2. Automotive
  • 7.5.3. Telecom/Media
  • 7.5.4. Healthcare
  • 7.5.5. Life Sciences
  • 7.5.6. Retail
  • 7.5.7. Energy & Utility
  • 7.5.8. Government
  • 7.5.9. Others (Manufacturing, Education, etc.)
• 7.6. By Country (USD)
  • 7.6.1. Brazil
    • 7.6.1.1. End-user
  • 7.6.2. Argentina
    • 7.6.2.1. End-user
  • 7.6.3. Rest of South America

8. Europe Predictive Analytics Market Size Estimates and Forecasts, By Segments, 2021-2034

• 8.1. Key Findings
• 8.2. By Deployment (USD)
  • 8.2.1. Cloud
  • 8.2.2. On-premise
• 8.3. By Enterprise Type (USD)
  • 8.3.1. Large Enterprises
  • 8.3.2. Small and Medium Enterprises (SMEs)
• 8.4. By Application (USD)
  • 8.4.1. Demand Forecasting
  • 8.4.2. Financial Risk Forecasting
  • 8.4.3. Pricing Personalization
  • 8.4.4. Predictive Maintenance
  • 8.4.5. Others (Churn Prevention, etc.)
• 8.5. By End-user (USD)
  • 8.5.1. BFSI
  • 8.5.2. Automotive
  • 8.5.3. Telecom/Media
  • 8.5.4. Healthcare
  • 8.5.5. Life Sciences
  • 8.5.6. Retail
  • 8.5.7. Energy & Utility
  • 8.5.8. Government
  • 8.5.9. Others (Manufacturing, Education, etc.)
• 8.6. By Country (USD)
  • 8.6.1. United Kingdom
    • 8.6.1.1. End-user
  • 8.6.2. Germany
    • 8.6.2.1. End-user
  • 8.6.3. France
    • 8.6.3.1. End-user
  • 8.6.4. Italy
    • 8.6.4.1. End-user
  • 8.6.5. Spain
    • 8.6.5.1. End-user
  • 8.6.6. Russia
    • 8.6.6.1. End-user
  • 8.6.7. Benelux
    • 8.6.7.1. End-user
  • 8.6.8. Nordics
    • 8.6.8.1. End-user
  • 8.6.9. Rest of Europe

9. Middle East & Africa Predictive Analytics Market Size Estimates and Forecasts, By Segments, 2021-2034

• 9.1. Key Findings
• 9.2. By Deployment (USD)
  • 9.2.1. Cloud
  • 9.2.2. On-premise
• 9.3. By Enterprise Type (USD)
  • 9.3.1. Large Enterprises
  • 9.3.2. Small and Medium Enterprises (SMEs)
• 9.4. By Application (USD)
  • 9.4.1. Demand Forecasting
  • 9.4.2. Financial Risk Forecasting
  • 9.4.3. Pricing Personalization
  • 9.4.4. Predictive Maintenance
  • 9.4.5. Others (Churn Prevention, etc.)
• 9.5. By End-user (USD)
  • 9.5.1. BFSI
  • 9.5.2. Automotive
  • 9.5.3. Telecom/Media
  • 9.5.4. Healthcare
  • 9.5.5. Life Sciences
  • 9.5.6. Retail
  • 9.5.7. Energy & Utility
  • 9.5.8. Government
  • 9.5.9. Others (Manufacturing, Education, etc.)
• 9.6. By Country (USD)
  • 9.6.1. Turkey
    • 9.6.1.1. End-user
  • 9.6.2. Israel
    • 9.6.2.1. End-user
  • 9.6.3. GCC
    • 9.6.3.1. End-user
  • 9.6.4. North Africa
    • 9.6.4.1. End-user
  • 9.6.5. South Africa
    • 9.6.5.1. End-user
  • 9.6.6. Rest of MEA

10. Asia Pacific Predictive Analytics Market Size Estimates and Forecasts, By Segments, 2021-2034

• 10.1. Key Findings
• 10.2. By Deployment (USD)
  • 10.2.1. Cloud
  • 10.2.2. On-premise
• 10.3. By Enterprise Type (USD)
  • 10.3.1. Large Enterprises
  • 10.3.2. Small and Medium Enterprises (SMEs)
• 10.4. By Application (USD)
  • 10.4.1. Demand Forecasting
  • 10.4.2. Financial Risk Forecasting
  • 10.4.3. Pricing Personalization
  • 10.4.4. Predictive Maintenance
  • 10.4.5. Others (Churn Prevention, etc.)
• 10.5. By End-user (USD)
  • 10.5.1. BFSI
  • 10.5.2. Automotive
  • 10.5.3. Telecom/Media
  • 10.5.4. Healthcare
  • 10.5.5. Life Sciences
  • 10.5.6. Retail
  • 10.5.7. Energy & Utility
  • 10.5.8. Government
  • 10.5.9. Others (Manufacturing, Education, etc.)
• 10.6. By Country (USD)
  • 10.6.1. China
    • 10.6.1.1. End-user
  • 10.6.2. India
    • 10.6.2.1. End-user
  • 10.6.3. Japan
    • 10.6.3.1. End-user
  • 10.6.4. South Korea
    • 10.6.4.1. End-user
  • 10.6.5. ASEAN
    • 10.6.5.1. End-user
  • 10.6.6. Oceania
    • 10.6.6.1. End-user
  • 10.6.7. Rest of Asia Pacific

11. Company Profiles for Top 10 Players (Based on data availability in public domain and/or on paid databases)

• 11.1. SAP SE
  • 11.1.1. Overview
    • 11.1.1.1. Key Management
    • 11.1.1.2. Headquarters
    • 11.1.1.3. Offerings/Business Segments
  • 11.1.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.1.2.1. Employee Size
    • 11.1.2.2. Past and Current Revenue
    • 11.1.2.3. Geographical Share
    • 11.1.2.4. Business Segment Share
    • 11.1.2.5. Recent Developments
• 11.2. IBM Corporation
  • 11.2.1. Overview
    • 11.2.1.1. Key Management
    • 11.2.1.2. Headquarters
    • 11.2.1.3. Offerings/Business Segments
  • 11.2.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.2.2.1. Employee Size
    • 11.2.2.2. Past and Current Revenue
    • 11.2.2.3. Geographical Share
    • 11.2.2.4. Business Segment Share
    • 11.2.2.5. Recent Developments
• 11.3. TIBCO Software Inc.
  • 11.3.1. Overview
    • 11.3.1.1. Key Management
    • 11.3.1.2. Headquarters
    • 11.3.1.3. Offerings/Business Segments
  • 11.3.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.3.2.1. Employee Size
    • 11.3.2.2. Past and Current Revenue
    • 11.3.2.3. Geographical Share
    • 11.3.2.4. Business Segment Share
    • 11.3.2.5. Recent Developments
• 11.4. Amazon Web Services, Inc.
  • 11.4.1. Overview
    • 11.4.1.1. Key Management
    • 11.4.1.2. Headquarters
    • 11.4.1.3. Offerings/Business Segments
  • 11.4.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.4.2.1. Employee Size
    • 11.4.2.2. Past and Current Revenue
    • 11.4.2.3. Geographical Share
    • 11.4.2.4. Business Segment Share
    • 11.4.2.5. Recent Developments
• 11.5. Alteryx
  • 11.5.1. Overview
    • 11.5.1.1. Key Management
    • 11.5.1.2. Headquarters
    • 11.5.1.3. Offerings/Business Segments
  • 11.5.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.5.2.1. Employee Size
    • 11.5.2.2. Past and Current Revenue
    • 11.5.2.3. Geographical Share
    • 11.5.2.4. Business Segment Share
    • 11.5.2.5. Recent Developments
• 11.6. Cloudera, Inc.
  • 11.6.1. Overview
    • 11.6.1.1. Key Management
    • 11.6.1.2. Headquarters
    • 11.6.1.3. Offerings/Business Segments
  • 11.6.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.6.2.1. Employee Size
    • 11.6.2.2. Past and Current Revenue
    • 11.6.2.3. Geographical Share
    • 11.6.2.4. Business Segment Share
    • 11.6.2.5. Recent Developments
• 11.7. SAS Institute Inc.
  • 11.7.1. Overview
    • 11.7.1.1. Key Management
    • 11.7.1.2. Headquarters
    • 11.7.1.3. Offerings/Business Segments
  • 11.7.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.7.2.1. Employee Size
    • 11.7.2.2. Past and Current Revenue
    • 11.7.2.3. Geographical Share
    • 11.7.2.4. Business Segment Share
    • 11.7.2.5. Recent Developments
• 11.8. FICO
  • 11.8.1. Overview
    • 11.8.1.1. Key Management
    • 11.8.1.2. Headquarters
    • 11.8.1.3. Offerings/Business Segments
  • 11.8.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.8.2.1. Employee Size
    • 11.8.2.2. Past and Current Revenue
    • 11.8.2.3. Geographical Share
    • 11.8.2.4. Business Segment Share
    • 11.8.2.5. Recent Developments
• 11.9. Accenture
  • 11.9.1. Overview
    • 11.9.1.1. Key Management
    • 11.9.1.2. Headquarters
    • 11.9.1.3. Offerings/Business Segments
  • 11.9.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.9.2.1. Employee Size
    • 11.9.2.2. Past and Current Revenue
    • 11.9.2.3. Geographical Share
    • 11.9.2.4. Business Segment Share
    • 11.9.2.5. Recent Developments
• 11.10. AVEVA Group plc
  • 11.10.1. Overview
    • 11.10.1.1. Key Management
    • 11.10.1.2. Headquarters
    • 11.10.1.3. Offerings/Business Segments
  • 11.10.2. Key Details (Key details are consolidated data and not product/service specific)
    • 11.10.2.1. Employee Size
    • 11.10.2.2. Past and Current Revenue
    • 11.10.2.3. Geographical Share
    • 11.10.2.4. Business Segment Share
    • 11.10.2.5. Recent Developments

12. Key Takeaways