세계의 예측 분석 시장 : 솔루션, 서비스, 산업, 기업 규모별 예측(2025-2030년)

The Predictive Analytics Market was valued at USD 27.21 billion in 2023, expected to reach USD 31.35 billion in 2024, and is projected to grow at a CAGR of 15.71%, to USD 75.58 billion by 2030.

Predictive analytics refers to the use of statistical techniques, data mining, and machine learning to analyze historical data and predict future outcomes. It is essential in today's data-driven landscape as it enables businesses to anticipate market trends, optimize resources, and make informed decisions. The application of predictive analytics spans across industries such as finance, healthcare, retail, and manufacturing, where it aids in risk assessment, personalized marketing, demand forecasting, and more. The end-use scope is broad, allowing businesses to streamline operations, enhance customer experiences, and boost profitability. Key growth factors influencing the market include the rising adoption of big data and cloud technologies, the increasing need for data-driven decision-making, and technological advancements in AI and machine learning. Potential opportunities lie in emerging markets and untapped industries where data is increasingly being leveraged for competitive advantage. Companies should focus on integrating predictive analytics into their strategic planning processes to capitalize on these opportunities. However, market growth is challenged by factors such as data privacy concerns, the high cost of implementation, and a shortage of skilled professionals. Organizations must navigate these limitations by investing in robust data governance frameworks and fostering a skilled workforce through training and development. The best areas for innovation include the development of more sophisticated algorithms, user-friendly analytics platforms, and real-time analytics capabilities. Research into improved data integration and processing methods could significantly enhance predictive accuracy and efficiency. The market's nature is dynamic and rapidly evolving, with a growing emphasis on real-time analytics and automation. To stay competitive, businesses should continuously innovate and adapt their predictive analytics strategies, focusing on enhancing scalability, accuracy, and user accessibility. Continued research and investment in these areas will ensure sustained growth and a strategic edge in the marketplace.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Predictive Analytics Market

The Predictive Analytics Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

• Market Drivers
  • Fact-based decision making and predicting uncertainties or behavior
  • Predicting trends, customer behavior, and improving business performance
  • Minimizing risk, identifying fraud and pursuing new revenue opportunities
• Market Restraints
  • Skill gap required to draw insight from data
• Market Opportunities
  • Integration of advanced technologies in predictive analytics software
  • Increasing penetration of cloud based services by the enterprises
• Market Challenges
  • Issues with privacy and ownership of data

Porter's Five Forces: A Strategic Tool for Navigating the Predictive Analytics Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Predictive Analytics Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Predictive Analytics Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Predictive Analytics Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Predictive Analytics Market

A detailed market share analysis in the Predictive Analytics Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Predictive Analytics Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Predictive Analytics Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Predictive Analytics Market

A strategic analysis of the Predictive Analytics Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Predictive Analytics Market, highlighting leading vendors and their innovative profiles. These include Alteryx, Inc., Amazon Web Services, Inc, AT&T Inc., Board International S.A., Dataiku, Google LLC, Happiest Minds Technologies Pvt. Ltd., Hewlett Packard Enterprise Company, Hitachi Vantara LLC, Infor, International Business Machines Corporation, MathWorks, Inc., Microsoft Corporation, Oracle Corporation, QlikTech International AB, and SAP SE.

Market Segmentation & Coverage

This research report categorizes the Predictive Analytics Market to forecast the revenues and analyze trends in each of the following sub-markets:

• Based on Solution, market is studied across Customer Analytics, Financial Analytics, Marketing Analytics, Network Analytics, Risk Analytics, Sales Analytics, Supply chain Analytics, and Web & Social Media Analytics.
• Based on Services, market is studied across Managed Services, Professional Services, and Support & Maintenance Services.
• Based on Industry, market is studied across Aerospace & Defense, Automotive & Transportation, Banking, Financial Services & Insurance, Building, Construction & Real Estate, Consumer Goods & Retail, Education, Energy & Utilities, Government & Public Sector, Healthcare & Life Sciences, Information Technology, Manufacturing, Media & Entertainment, Telecommunication, and Travel & Hospitality.
• Based on Enterprise Size, market is studied across Large Enterprises and Small & Medium Enterprises.
• Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Fact-based decision making and predicting uncertainties or behavior
    • 5.1.1.2. Predicting trends, customer behavior, and improving business performance
    • 5.1.1.3. Minimizing risk, identifying fraud and pursuing new revenue opportunities
  • 5.1.2. Restraints
    • 5.1.2.1. Skill gap required to draw insight from data
  • 5.1.3. Opportunities
    • 5.1.3.1. Integration of advanced technologies in predictive analytics software
    • 5.1.3.2. Increasing penetration of cloud based services by the enterprises
  • 5.1.4. Challenges
    • 5.1.4.1. Issues with privacy and ownership of data
• 5.2. Market Segmentation Analysis
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental

6. Predictive Analytics Market, by Solution

• 6.1. Introduction
• 6.2. Customer Analytics
• 6.3. Financial Analytics
• 6.4. Marketing Analytics
• 6.5. Network Analytics
• 6.6. Risk Analytics
• 6.7. Sales Analytics
• 6.8. Supply chain Analytics
• 6.9. Web & Social Media Analytics

7. Predictive Analytics Market, by Services

• 7.1. Introduction
• 7.2. Managed Services
• 7.3. Professional Services
• 7.4. Support & Maintenance Services

8. Predictive Analytics Market, by Industry

• 8.1. Introduction
• 8.2. Aerospace & Defense
• 8.3. Automotive & Transportation
• 8.4. Banking, Financial Services & Insurance
• 8.5. Building, Construction & Real Estate
• 8.6. Consumer Goods & Retail
• 8.7. Education
• 8.8. Energy & Utilities
• 8.9. Government & Public Sector
• 8.10. Healthcare & Life Sciences
• 8.11. Information Technology
• 8.12. Manufacturing
• 8.13. Media & Entertainment
• 8.14. Telecommunication
• 8.15. Travel & Hospitality

9. Predictive Analytics Market, by Enterprise Size

• 9.1. Introduction
• 9.2. Large Enterprises
• 9.3. Small & Medium Enterprises

10. Americas Predictive Analytics Market

• 10.1. Introduction
• 10.2. Argentina
• 10.3. Brazil
• 10.4. Canada
• 10.5. Mexico
• 10.6. United States

11. Asia-Pacific Predictive Analytics Market

• 11.1. Introduction
• 11.2. Australia
• 11.3. China
• 11.4. India
• 11.5. Indonesia
• 11.6. Japan
• 11.7. Malaysia
• 11.8. Philippines
• 11.9. Singapore
• 11.10. South Korea
• 11.11. Taiwan
• 11.12. Thailand
• 11.13. Vietnam

12. Europe, Middle East & Africa Predictive Analytics Market

• 12.1. Introduction
• 12.2. Denmark
• 12.3. Egypt
• 12.4. Finland
• 12.5. France
• 12.6. Germany
• 12.7. Israel
• 12.8. Italy
• 12.9. Netherlands
• 12.10. Nigeria
• 12.11. Norway
• 12.12. Poland
• 12.13. Qatar
• 12.14. Russia
• 12.15. Saudi Arabia
• 12.16. South Africa
• 12.17. Spain
• 12.18. Sweden
• 12.19. Switzerland
• 12.20. Turkey
• 12.21. United Arab Emirates
• 12.22. United Kingdom

13. Competitive Landscape

• 13.1. Market Share Analysis, 2023
• 13.2. FPNV Positioning Matrix, 2023
• 13.3. Competitive Scenario Analysis
• 13.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. Alteryx, Inc.
• 2. Amazon Web Services, Inc
• 3. AT&T Inc.
• 4. Board International S.A.
• 5. Dataiku
• 6. Google LLC
• 7. Happiest Minds Technologies Pvt. Ltd.
• 8. Hewlett Packard Enterprise Company
• 9. Hitachi Vantara LLC
• 10. Infor
• 11. International Business Machines Corporation
• 12. MathWorks, Inc.
• 13. Microsoft Corporation
• 14. Oracle Corporation
• 15. QlikTech International AB
• 16. SAP SE