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Strategic Intelligence: Big Data in Pharma

Publisher GlobalData
Published Oct 31, 2024
Length 66 Pages
SKU # GBDT19429842

Description

Strategic Intelligence: Big Data in Pharma



Summary

Big data is generated extensively across pharma

The international pharmaceutical landscape generates vast amounts of data from a variety of sources, such as patient registries, clinical trials, wearable technologies, and more. Such datasets are extremely vast, complex, and unstructured, rendering traditional big data analytical methodologies inefficient for processing.

As a result, organizations within the pharmaceutical industry are innovating big data analytical technologies that can secure, store, process, analyze, aggregate, and integrate vast and complex datasets for the purpose of acquiring novel insights. Furthermore, these technologies can be implemented with machine learning (ML), artificial intelligence (AI), Internet of Things (IoT), digital twins, and more.

This report consolidates GlobalData’s latest thinking and forecasts around how the healthcare, macroeconomic, technology, and regulatory trends will impact the big data in pharma space, as well as providing insights into the leading players and future disruptors across the value chain, and providing insights into key drugs and markets from GlobalData’s Pharma Intelligence Center. Additionally, this report is designed to provide strategic planners, competitive intelligence professionals and key stakeholders in the pharmaceutical industry a clear view of the opportunities and risks over the foreseeable future for big data.

Scope
  • A dedicated report examining the pivotal healthcare, technological, macroeconomic, and regulatory trends shaping the big data in pharma landscape. This report also provides an in-depth analysis of how these trends are poised to either accelerate progress or create obstacles for the growth of the big data market.
Reasons to Buy
  • Understand the key trends accelerating or hindering the big data in pharma space.
  • See market forecasts for different therapies within big data up to 2028.
  • Understand recent and influential developments in big data.
  • Review of leaders and disruptors across the big data value chain.

Table of Contents

66 Pages
  • Executive Summary
    • Figure 1: Who are the leading players in the big data pharma space?
  • Thematic Briefing
    • Healthcare trends
    • Technology trends
    • Macroeconomic trends
    • Regulatory trends
    • Market forecast size
    • Survey data
    • Pharma case studies
    • M&A trends
    • Strategic partnerships
    • Funding deals
    • Social media influencers
    • Figure 10: The big data value chain in pharma
    • Big data generation
    • Big data management
    • Big data product development
    • Leading big data vendors
    • Specialist big data vendors in pharma
    • Leading big data adopters in pharma
    • Drug manufacturing sector scorecard
  • Bibliography
    • Abbreviations
    • GlobalData reports
  • Our Thematic Research Methodology

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