製藥的巨量資料 - Strategic Intelligence

Strategic Intelligence: Big Data in Pharma

出版日期: 2024年10月31日 | 出版商:

GlobalData | 英文 66 Pages | 訂單完成後即時交付

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簡介目錄圖表

整個製藥業正在廣泛產生大數據

全球製藥領域從各種來源產生大量數據，包括病患登記、臨床試驗和穿戴式技術。這些資料集如此龐大、複雜且非結構化，傳統的大數據分析方法在處理它們時效率低。

因此，製藥業正在大數據分析技術方面進行創新，這些技術可以保護、儲存、處理、分析、聚合和整合大量複雜的資料集，以產生新的見解。此外，這些技術可以透過機器學習（ML）、人工智慧、物聯網、數位孿生等來實現。

本報告提供了全球製藥業的研究和分析，包括有關醫療、宏觀經濟、技術和監管趨勢將如何影響製藥業大數據的最新見解和預測，我們提供了對關鍵參與者和未來顛覆者的見解。

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.

List of Figures

List of Tables

Players
Thematic Briefing
Trends
Industry Analysis
Value Chain
Companies
Drug Manufacturing Scorecard
Abbreviations
Further Reading
About the Authors
Our Thematic Research Methodology

簡介目錄圖表

List of Tables

Table 1: Healthcare trends in the big data space
Table 2: Technology trends in the big data space
Table 3: Macroeconomic trends in the big data space
Table 4: Regulatory trends in the big data space
Table 5: Examples of M&A in the big data and pharma spaces, 2022-24
Table 6: Examples of strategic partnerships in the pharma big data space, 2022-24
Table 7: Examples of large funding deals in the big data space since 2022
Table 8: Drug target discovery big data analytical tools
Table 9: VCT big data analytical tools
Table 10: Precision medicine big data analytical tools
Table 11: Digital twins big data analytical tools
Table 12: Telemedicine big data analytical tools
Table 13: Digital biomarkers big data analytical tools
Table 14: Genomics integration within the big data space
Table 15: Examples of leading big data vendors within the big data theme
Table 16: Examples of specialist big data vendors in the big data theme
Table 17: Examples of leading big data adopters in the big data theme
Table 18: GlobalData reports
Table 19: Target identification and validation
Table 20: The time taken to identify novel drug targets.
Table 21: The different platforms and libraries used for drug repurposing
Table 22: The leading technology players within the AI in drug discovery theme and summarizes their competitive position
Table 13: The specialist AI vendors in drug discovery and summarizes their competitive position
Table 24: The leading adopters of AI in drug discovery and summarizes their competitive position
Table 25: Abbreviations
Table 26: GlobalData reports

List of Figures

Figure 1: Who are the leading players in the big data pharma space?
Figure 2: Pharma contributed 1.1% of the total global data and analytics market in 2022
Figure 3: Pharma will contribute 1.1% of the total global data and analytics market in 2028
Figure 4: The total global data and analytics market for pharma was valued at $1.1B in 2022, led by China
Figure 5: China will lead the global data and analytics market in pharma in 2028
Figure 6: Confidence levels in big data's potential to transform the pharmaceutical industry
Figure 7: Key pharmaceutical value chain components poised to benefit most from big data
Figure 8: Big data trends in GlobalData's social media analytics database, September 2023 - September 2024
Figure 9: Examples of top posts related to big data, 2023-24
Figure 10: The big data value chain in pharma
Figure 11: Who does what in the drug manufacturing space?
Figure 12: Our thematic screen ranks companies based on overall leadership in the 10 themes that matter most to their industry, generating a leading indicator of future performance
Figure 13: Our valuation screen ranks our universe of companies within a sector based on selected valuation metrics
Figure 14: Our risk screen ranks companies within a particular sector based on overall investment risk