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Strategic Analysis - U.S. Data Mining and Predictive Analytics Markets for Life Sciences R&D Product Image

Strategic Analysis - U.S. Data Mining and Predictive Analytics Markets for Life Sciences R&D

  • ID: 365462
  • February 2004
  • Region: United States
  • Frost & Sullivan



Competitive Prices to Facilitate Customer Acquisition and Retention

Large vendors offering long-term volume-priced solutions have a competitive edge over smaller participants that are struggling to strengthen customer relationships with pharmaceutical and biotech organizations. The need to retain important clients drives these large vendors to provide combined service and product solution packages at market floor rates and tackle extreme price fluctuations. Smaller industry entrants must also adopt flexible pricing strategies to sustain themselves in the new market for life sciences IT, especially for emerging niche markets like data and text mining.

This research analyzes the data mining and predictive analytics markets for life sciences R&D and provides key market drivers and challenges. The study focuses on trends shaping the market and discusses possible ways of gaining market share. Emerging technologies, end-user forecasts, and competitive analysis give participants a clearer perspective of future opportunities.

Large Vendors Can Cross-leverage Technology to Maximize Profits

Expertise in a wide array of technologies as opposed to specialization READ MORE >

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1 U.S. DATA MINING AND PREDICTIVE ANALYTICS MARKETS
  Overview
      1. Report Title and Introduction
      2. Disclaimer
      3. Analyst Certification
      4. Research Scope and Methodology
      5. Product Segmentation
      6. Key Definitions
  Market Framework
      1. The Big Picture
      2. Market Framework
      3. Emerging Market Consolidation
      4. Data Mining Market Drivers
      5. Data Mining Market Challenges
      6. The Modern Value Chain
      7. Hot Areas in Life Sciences Research
      8. Hot Technologies in 2004
      9. Data Mining: Customer Priorities
      10. Transformation of Mining in Life Sciences
      11. Market Demand Shifts in Data Mining
  Technology Discussion
      1. Changing Technology Priorities
      2. Common Data Mining Models
      3. ROI by Workflow Efficiency
      4. Aggregation and Dissipation of Data
      5. Breakdown of Architecture
      6. Markets for Data Mining Architecture
      7. The Technology Challenge
      8. Deployment Models: Data Mining and Predictive Analytics
      9. Web Market: Data Mining and Predictive Analytics
      10. Effect of Linux
  Sales Discussion
      1. Revenue Breakdown by Buyer Group
      2. Industry Sales Metrics
  Competitive Landscape
      1. Commercial Market and Opportunity Forecast: Data Mining and Predictive Analytics
      2. Our Opinions on Growth
      3. Emerging Text Mining Market
      4. Competitive Quadrants by Technology
      5. Competitive Market Shares: Data Mining and Predictive Analytics
      6. Average Pricing for Data Mining Products
      7. Average License Versus Service Fees
      8. IBM Versus Oracle: Battle Between the Business Models
  Frost & Sullivan Awards
      1. Methodology of Awards
      2. Technology Innovation Award
      3. Vertical Market Penetration Award
      4. Product Innovation Award
  Frost & Sullivan's Growth Consulting Capabilities
      1. Our Capabilities
      2. Our Analysis
      3. Consulting Clients
      4. Growth Consulting Process

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