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1073038

제약용 빅데이터 : 테마별 조사

Big Data in Pharmaceuticals - Thematic Research

발행일: | 리서치사: GlobalData | 페이지 정보: 영문 51 Pages | 배송안내 : 즉시배송

※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

세계의 제약용 데이터 및 애널리틱스 시장은 2020년에 14억 달러를 기록하고, 2025년에는 19억 달러로 성장할 것으로 예측됩니다. 의료·제약 업계에서는 의사의 메모, 병리 보고, 전자건강기록(EHR), 환자 등록, 게노믹스, 임상시험, 소셜 미디어, 웨어러블 단말기 등 다수의 소스로부터 데이터가 대량으로 생성되어 규모와 복잡성 모두 거대하고, 기존 데이터 관리 기술로는 처리가 비효율적이 되고 있습니다. 이 문제에 대응하기 위해 대량의 데이터를 보호, 보존, 처리, 분석, 집약, 통합하고, 새로운 인사이트를 창출하기 위한 기술과 툴을 개발하는 산업이 급성장하고 있습니다.

빅데이터 분석과 기타 신기술을 조합하여 제약 밸류체인 전체에서 어떻게 활용할 수 있는가를 평가하고 있습니다. 헬스케어, 테크놀러지, 규제, 거시경제 동향, 주요 기업 등 현재 상황의 개요, 향후 빅데이터 분석의 활용 기회에 대해서도 다루고 있습니다. 또한 업계별 분석 및 다수의 제약 기업에 특화한 사례 연구도 제공합니다. 빅데이터 관련 거래, 구인, 소셜 미디어 활동을 분석하고, 관련되는 경우에는 COVID-19 팬데믹의 영향에도 초점을 맞추고 있습니다.

목차

목차

  • 주요 요약
  • 플레이어
  • 테마별 개요
  • 동향
  • 헬스케어 동향
  • 테크놀러지 동향
  • 규제 동향
  • 거시경제 동향
  • 밸류체인
  • 빅데이터 생성
  • 빅데이터 관리
  • 빅데이터 제품 개발
  • 업계 분석
  • 시장 예측 규모
  • 조사 데이터
  • 헬스케어 업계의 디지털 전환과 신기술 조사(2021년)
  • Smart Pharma Survey(2021년)
  • 시판후 조사에서의 RWE(Real-World Evidence) 사용
  • 제약 기업의 빅데이터 관련 업무 분석
  • 거래 분석
  • 인수합병
  • 전략적 제휴
  • 자금 조달 거래
  • 제약 사례 연구
  • Sumitomo Dainippon Pharma와 Exscientia : Drug Discovery & Development
  • Syapse Learning Health Network와 RWE
  • Unlearn.AI : DiGenesis, Twintelligent RCT, Digital Twins
  • Infor와 Bayer : Infor Enterprise Asset Management와 Digital Twins
  • Evidation and Merck : 알츠하이머병에 초점을 맞춘 디지털 모니터링
  • 소셜 미디어의 인플루언서
  • 기업
  • 주요 빅데이터 벤더
  • 제약 업계의 스페셜리스트 빅데이터 벤더
  • 제약 업계를 견인하는 빅데이터 채용자

부록

  • 약어
  • 추가 자료
  • 관련 보고서
  • 참고문헌
  • 저자 소개
  • 헬스케어 애널리스트
  • 매니징 애널리스트
  • 주제 분석 디렉터
  • 헬스케어 사업 및 전략의 글로벌 헤드 및 EVP
  • 우리의 테마별 조사 방법
  • GlobalData 소개
  • 고객 서비스
KSM 22.05.16

This report provides an overview of the big data analytics in the pharma industry.

Big data is generated in vast quantities across healthcare

The healthcare and pharmaceutical industries generate data in abundance from a multitude of sources including physician notes, pathology reports, electronic health records (EHR), patient registries, genomics, clinical trials, social media, wearable devices, and many more. The dataset in question is huge in both size and complexity, rendering traditional data management techniques inefficient for processing.

In response to this problem, a burgeoning industry has become established around the development of technologies and tools that secure, store, process, analyze, aggregate, and integrate large quantities of data such that they can be used to generate new insights. Big data analytics serve as the engine for other emerging technologies such as artificial intelligence (AI), Internet of Things (IoT), 5G, and cloud.

Pharma can utilize big data across its value chain

The identification of patterns, trends, and associations within these datasets are expected to revolutionize the pharma industry. There are numerous use cases for big data analytics in this sector, including the acceleration of drug discovery and development, optimization of manufacturing processes, supply chain management, and the creation of innovative sales and marketing strategies.

This report assesses how big data analytics, combined with other emerging technologies, can be used across the pharma value chain. It provides an overview of the current landscape, including healthcare, technology, regulatory, and macroeconomic trends, as well as key players, while also highlighting opportunities for the use of big data analytics in the future. The report provides an industry-specific analysis based on GlobalData databases and surveys, as well as several pharma-specific case studies. Finally, the report provides an analysis of big data-related deals, jobs, and social media activity, highlighting the impact of the COVID-19 pandemic, where relevant.

Key Highlights

  • The global data and analytics market in the pharmaceutical sector was valued at $1.4 billion in 2020 and is forecast to grow to $1.9 billion by 2025.
  • Surveyed pharma industry professionals believed that big data analytics has a role throughout the pharma process, including manufacturing, supply chain, drug discovery and development, and sales and marketing.
  • Cloud and big data were found to be the leading two technology investment priorities for pharma in 2021, with 47% and 45% of respondents indicating that their organizations had investment in these leading technologies, respectively.
  • While the start of the COVID-19 pandemic saw a slight decline in the number of active job postings related to big data analytics, they rose again in Q4 2020 and have continued an upward trajectory.
  • Real-world evidence is an important source of big data in the pharma industry. Between 2011 and 2022, 187 clinical trials related to RWE collection were identified using GlobalData's Clinical Trials Database.

Scope

  • Overview of the current and future use cases of big data analytics in the pharma industry, across the value chain.
  • Insightful review of the healthcare, technology, regulatory, and macroeconomic trends. Each trend is independently researched to provide qualitative analysis of its implications on the big data space.
  • Reports of the revenue opportunity forecast in the data and analytical markets in the pharma industry from 2020 to 2025, spanning three technology segments and 49 geographical markets.
  • Key players in the big data space, with a focus on technology providers and pharma adopters.
  • Industry analysis of big data in the context of jobs in the pharma industry, use of real-world evidence in post-marketing studies, social media, and several pharma-specific case studies.
  • Deals analysis: outline of key deals within the big data space over the past three years, including mergers and acquisitions, strategic partnership, and funding.

Reasons to Buy

  • Assess who the leading technology players are in the big data space, as well as leading pharma adopters.
  • See examples of how pharma companies are integrating big data analytics into their value chains.
  • Understand what trends are driving the big data space and challenges exist for pharma in the space.
  • See how the big data landscape is evolving, with a review of company activity including mergers and acquisitions (M&A), strategic partnerships and funding deals, as well as a job analysis.
  • Assess the impact of COVID-19 on big data analytics.

Table of Contents

Table of Contents

  • Executive Summary
  • Players
  • Thematic Briefing
  • Trends
  • Healthcare Trends
  • Technology Trends
  • Regulatory Trends
  • Macroeconomic Trends
  • Value Chain
  • Big Data Generation
  • Big Data Management
  • Big Data Product Development
  • Industry Analysis
  • Market Forecast Size
  • Survey Data
  • GlobalData's Digital Transformation and Emerging Technology in the Healthcare Industry Survey, 2021
  • GlobalData's Smart Pharma Survey 2021
  • Use of Real-World Evidence in Post-Marketing Studies
  • Analysis of Big Data-Related Jobs in Pharma
  • Deals Analysis
  • Mergers and Acquisitions
  • Strategic Partnerships
  • Funding Deals
  • Pharma Case Studies
  • Sumitomo Dainippon Pharma and Exscientia: Drug Discovery and Development
  • Syapse's Learning Health Network and RWE
  • Unlearn.AI: DiGenesis, Twintelligent RCTs, and Digital Twins
  • Infor and Bayer: Infor Enterprise Asset Management and Digital Twins
  • Evidation and Merck: Digital Monitoring with Focus on Alzheimer's Disease
  • Social Media Influencers
  • Companies
  • Leading Big Data Vendors
  • Specialist Big Data Vendors in Pharma
  • Leading Big Data Adopters In Pharma

Appendix

  • Abbreviations
  • Further Reading
  • Related Reports
  • Bibliography
  • About the Authors
  • Healthcare Analyst
  • Managing Analyst
  • Director of Thematic Analysis
  • Global Head and EVP of Healthcare Operations and Strategy
  • Our Thematic Research Methodology
  • About GlobalData
  • Contact Us
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