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.
Executive Summary
Players
Table Figure 1: Who are the leading players in the big data pharma space?
Thematic Briefing
Trends
Healthcare trends
Table Healthcare trends in the big data space
Technology trends
Table Technology trends in the big data space
Macroeconomic trends
Table Macroeconomic trends in the big data space
Regulatory trends
Table Regulatory trends in the big data space
Industry Analysis
Market forecast size
Table Figure 2: Pharma contributed 1.1% of the total global data and analytics market in 2022
Table Figure 3: Pharma will contribute 1.1% of the total global data and analytics market in 2028
Table Figure 4: The total global data and analytics market for pharma was valued at $1.1B in 2022, led by China
Table Figure 5: China will lead the global data and analytics market in pharma in 2028
Survey data
GlobalData's surveys on big data's impact on the pharma industry and key pharma benefit, 2024
Table Figure 6: Confidence levels in big data's potential to transform the pharmaceutical industry
Table Figure 7: Key pharmaceutical value chain components poised to benefit most from big data
Pharma case studies
DNAnexus collaborates with multiple companies to enhance innovation within drug discovery
Johnson & Johnson MedTech announces data- and AI-driven solutions to accelerate the surgical landscape
Dotmatics launches cloud data platforms to optimize workflow for complex bioinformatics datasets
Parexel and Palantir collaborate to improve the quality of patient care
Ribbon Health announces its provider data platform to accelerate the healthcare data management landscape
NovAccess collaborates with CKN Ventures to utilize big data and AI for personalized healthcare
Signals
M&A trends
Table Examples of M&A in the big data and pharma spaces, 2022-24
Strategic partnerships
Table Examples of strategic partnerships in the pharma big data space, 2022-24
Funding deals
Table Examples of large funding deals in the big data space since 2022
Social media influencers
Table Figure 8: Big data trends in GlobalData's social media analytics database, September 2023 - September 2024
Table Figure 9: Examples of top posts related to big data, 2023-24
Value Chain
Table Figure 10: The big data value chain in pharma
Big data generation
Big data management
Big data product development
Drug target discovery
Table Drug target discovery big data analytical tools
Virtual clinical trials
Table VCT big data analytical tools
Precision medicine
Table Precision medicine big data analytical tools
Digital twins
Table Digital twins big data analytical tools
Telemedicine
Table Telemedicine big data analytical tools
Digital biomarkers
Table Digital biomarkers big data analytical tools
Wearable tech
Genomics
Table Genomics integration within the big data space
Commercial (marketing & sales)
Companies
Leading big data vendors
Table Examples of leading big data vendors within the big data theme
Specialist big data vendors in pharma
Table Examples of specialist big data vendors in the big data theme
Leading big data adopters in pharma
Table Examples of leading big data adopters in the big data theme
Sector Scorecards
Drug manufacturing sector scorecard
Who's who
Table Figure 11: Who does what in the drug manufacturing space?
Thematic screen
Table 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
Valuation screen
Table Figure 13: Our valuation screen ranks our universe of companies within a sector based on selected valuation metrics
Risk screen
Table Figure 14: Our risk screen ranks companies within a particular sector based on overall investment risk