Published :
Tables : 68
Figures : 55
Category : Healthcare
No. of Pages : 220
Report Code : HC-1301
Life Science Analytics Market Introduction: Life Science Analytics Market is predicted to value over USD 38 billion by 2027 end and register a CAGR of over 12% during the forecast period 2020 to 2027. There has been a rise in the variety and volume of medical information about the profile of patients, scientific research and regulatory and compliance requirements. Growing usage of mobile sensors and devices in life science and pharmaceutical organizations has increased the volume of data along with the data variety and velocity, driving the necessity for an innovative data analytics and data management approach. Conventional processing and collection of such data result in increased costs and there are no improvements in outcomes. Data analytics play a vital role in managing and segregating data efficiently. Companies like Google Inc., IBM Corporation, and Oracle Corporation, are focussing on the development of new tools for data analytics tools that can be used for various applications in the life science sector. Moreover, biomedical and pharmaceutical firms have realized the real advantages of this evolutionary data ecosystem by using distributed computing power platforms and cloud-based storage. With the use of these tools, stakeholders and drug manufacturers in the life science sector are achieving better overall outcomes, delivering higher quality care at affordable costs and developing informative treatments and diagnoses. Additionally, these tools have made genomic and clinical data integration quite easier, which can assist drug manufacturers in developing advanced and high quality medicines. Increasingly complex and rapidly changing regulatory necessities have become a major risk to the life science industry. Analytics is aiding firms in reporting accurate regulations. The rising volume of generated data in the life science sector and the necessity to extract value from the data are steering the life science analytics market growth. Key market players included in the life science analytics industry are SAS Institute Inc., IBM Corp., Oracle Corp., Iqvia, Accenture, Cognizant, Maxisit, Scio Health Analytics, Take Solutions, Wipro Ltd. Life Science Analytics Market Segmentation: By Type Descripted Analysis Predictive Analysis Prescriptive Analysis By Application Research and Development Sales and Marketing Pharmacovigilance Regulatory Compliance Supply Chain Optimization By Component Services Software By Delivery Model On-Premise Delivery Model On-Demand Delivery Model By End User Pharmaceutical and Biotechnological Companies Medical device Components Research Centres Third Party Administrators By Region North America Europe Asia Pacific Rest of the World FutureWise Key Takeaways: Growth prospects SWOT analysis Key trends Key data-points affecting market growth Objectives of the Study: To provide with an exhaustive analysis on the life science analytics market by type, by application, by component, by delivery model, by end user and by region To cater comprehensive information on factors impacting market growth (drivers, restraints, industry-specific restraints and opportunities) To forecast and evaluate micro-markets and the overall market To predict the market size, in key regions (along with countries)— North America, Europe, Asia Pacific and the rest of the world To record, evaluate and analyse competitive landscape mapping- technological advancements, product launches, expansions and mergers Flexible Delivery Model: We have a flexible delivery model and you can suggest changes in the scope/table of content as per your requirement The customization Mobility Care offered are free of charge with purchase of any license of the report You can directly share your requirements/changes to the current table of content to: sales@futurewiseresearch.com
Life Science Analytics Market is predicted to value over USD 38 billion by 2027 end and register a CAGR of over 12% during the forecast period 2020 to 2027.
There has been a rise in the variety and volume of medical information about the profile of patients, scientific research and regulatory and compliance requirements. Growing usage of mobile sensors and devices in life science and pharmaceutical organizations has increased the volume of data along with the data variety and velocity, driving the necessity for an innovative data analytics and data management approach. Conventional processing and collection of such data result in increased costs and there are no improvements in outcomes. Data analytics play a vital role in managing and segregating data efficiently. Companies like Google Inc., IBM Corporation, and Oracle Corporation, are focussing on the development of new tools for data analytics tools that can be used for various applications in the life science sector.
Moreover, biomedical and pharmaceutical firms have realized the real advantages of this evolutionary data ecosystem by using distributed computing power platforms and cloud-based storage. With the use of these tools, stakeholders and drug manufacturers in the life science sector are achieving better overall outcomes, delivering higher quality care at affordable costs and developing informative treatments and diagnoses. Additionally, these tools have made genomic and clinical data integration quite easier, which can assist drug manufacturers in developing advanced and high quality medicines. Increasingly complex and rapidly changing regulatory necessities have become a major risk to the life science industry. Analytics is aiding firms in reporting accurate regulations. The rising volume of generated data in the life science sector and the necessity to extract value from the data are steering the life science analytics market growth.
Key market players included in the life science analytics industry are SAS Institute Inc., IBM Corp., Oracle Corp., Iqvia, Accenture, Cognizant, Maxisit, Scio Health Analytics, Take Solutions, Wipro Ltd.
Life Science Analytics Market Segmentation:
By Type
By Application
By Component
By Delivery Model
By End User
By Region
FutureWise Key Takeaways:
Objectives of the Study:
Flexible Delivery Model:
1. Market Introduction 1.1. Objectives of the Study 1.2. Market Definition 1.3. Market Scope 1.3.1. Years Considered for the Study 1.3.2. Market Covered 1.4. Currency 1.5. Limitations 1.6. Stakeholders 2. Research Methodology 2.1. Research Data 2.1.1. Secondary Data 2.1.1.1. Key Data from Secondary Sources 2.1.2. Primary Data 2.1.2.1. Key Data from Primary Sources 2.2. Market Size Estimation 2.3. Market Breakdown and Data Triangulation 2.4. Assumptions for the Study 3. Executive Summary 3.1. Market Outlook 3.2. Segment Outlook 3.3. Competitive Insights 4. Global Life Science Analytics Market Variables, Trends & Scope 4.1. Market Lineage Outlook 4.2. Penetration and Growth Prospect Mapping 4.3. Industry Value Chain Analysis 4.4. Cost Analysis Breakdown 4.5. Technology Overview 4.6. Regulatory Framework 4.6.1. Reimbursement Framework 4.6.2. Standards and Compliances 5. Global Life Science Analytics Market Overview 5.1. Market Dynamics 5.1.1. Market Driver Analysis 5.1.1.1. Increasing focus on Brand Protection 5.1.1.2. Untapped Opportunities in Emerging Regions 5.1.2. Market Restraint Analysis 5.1.3. Industry Challenges 5.1.3.1. Presence of Ambiguous Regulatory Framework 6. Global Life Science Analytics Market Analysis Tools 6.1. Industry Analysis - Porter’s 6.1.1. Supplier Power 6.1.2. Buyer Power 6.1.3. Substitution Threat 6.1.4. Threat from New Entrants 6.1.5. Competitive Rivalry 6.2. Pestel Analysis 6.2.1. Political Landscape 6.2.2. Environmental Landscape 6.2.3. Social Landscape 6.2.4. Technology Landscape 6.2.5. Legal Landscape 6.3. Major Deals And Strategic Alliances Analysis 6.3.1. Joint Ventures 6.3.2. Mergers and Acquisitions 6.3.3. Licensing and Partnership 6.3.4. Technology Collaborations 6.3.5. Strategic Divestments 6.4. Market Entry Strategies 6.5. Case Studies 7. Global Life Science Analytics Market, By Type Historical Analysis and Forecast 2020-2027 (USD Million) 7.1. Descripted Analysis 7.2. Predictive Analysis 7.3. Prescriptive Analysis 8. Global Life Science Analytics Market, By Application Historical Analysis and Forecast 2020-2027 (USD Million) 8.1. Research and Development 8.2. Sales and Marketing 8.3. Pharmacovigilance 8.4. Regulatory Compliance 8.5. Supply Chain Optimization 9. Global Life Science Analytics Market, By Component Historical Analysis and Forecast 2020-2027 (USD Million) 9.1. Services 9.2. Software 10. Global Life Science Analytics Market, By Delivery Model Historical Analysis and Forecast 2020-2027 (USD Million) 10.1. On-Premise Delivery Model 10.2. On-Demand Delivery Model 11. Global Life Science Analytics Market, By End User Historical Analysis and Forecast 2020-2027 (USD Million) 11.1. Pharmaceutical and Biotechnological Companies 11.2. Medical Device Components 11.3. Research Centres 11.4. Third Party Administrators 12. North America Market Analysis 2015–2019 and Forecast 2020–2027 (USD Million) 12.1. Introduction 12.2. Historical Market Size (USD Million) Analysis By Country, 2015-2019 12.2.1. U.S.A 12.2.2. Canada 12.2.3. Mexico 12.3. Market Size (USD Million) Forecast for North America 2020-2027 13. Latin America Market Analysis 2015–2019 and Forecast 2020–2027 (USD Million) 13.1. Introduction 13.2. Historical Market Size (USD Million) Analysis By Country, 2015-2019 13.2.1. Brazil 13.2.2. Venezuela 13.2.3. Argentina 13.2.4. Rest of Latin America 13.3. Market Size (USD Million) Forecast for Latin America 2020-2027 14. Europe Market Analysis 2015–2019 and Forecast 2020–2027 (USD Million) 14.1. Introduction 14.2. Historical Market Size (USD Million) Analysis By Country, 2015-2019 14.2.1. Germany 14.2.2. U.K 14.2.3. France 14.2.4. Italy 14.2.5. Spain 14.2.6. Russia 14.2.7. Poland 14.2.8. Switzerland 14.2.9. Rest of Western Europe 15. Asia Pacific Market Analysis 2015–2019 and Forecast 2020–2027 (USD Million) 15.1. Introduction 15.2. Historical Market Size (USD Million) Analysis By Country, 2015-2019 15.2.1. Japan 15.2.2. China 15.2.3. Singapore 15.2.4. India 15.2.5. Australia and New Zealand 15.2.6. ASEAN 15.2.7. South Korea 15.2.8. Rest of Asia Pacific 15.3. Market Size (USD Million) Forecast for Asia Pacific 2020-2027 16. Middle East and Africa Market Analysis 2015–2019 and Forecast 2020–2027 (USD Million) 16.1. Introduction 16.2. Historical Market Size (USD Million) Analysis By Country, 2015-2019 16.2.1. Saudi Arabia 16.2.2. UAE 16.2.3. South Africa 16.2.4. Egypt 16.3. Market Size (USD Million) Forecast for MEA 2020-2027 17. Company Profiles (Competition Dashboard, Competitors Deep Dive, Product Type and Technology Portfolio, Financial Layouts) 17.1. SAS Institute Inc. 17.1.1. Company Overview 17.1.2. Product Portfolio 17.1.3. SWOT Analysis 17.1.4. Financial Overview 17.1.5. Strategic Overview 17.2. IBM Corp. 17.2.1. Company Overview 17.2.2. Product Portfolio 17.2.3. SWOT Analysis 17.2.4. Financial Overview 17.2.5. Strategic Overview 17.3. Oracle Corp. 17.3.1. Company Overview 17.3.2. Product Portfolio 17.3.3. SWOT Analysis 17.3.4. Financial Overview 17.3.5. Strategic Overview 17.4. Iqvia 17.4.1. Company Overview 17.4.2. Product Portfolio 17.4.3. SWOT Analysis 17.4.4. Financial Overview 17.4.5. Strategic Overview 17.5. Accenture 17.5.1. Company Overview 17.5.2. Product Portfolio 17.5.3. SWOT Analysis 17.5.4. Financial Overview 17.5.5. Strategic Overview 17.6. Cognizant 17.6.1. Company Overview 17.6.2. Product Portfolio 17.6.3. SWOT Analysis 17.6.4. Financial Overview 17.6.5. Strategic Overview 17.7. Maxisit 17.7.1. Company Overview 17.7.2. Product Portfolio 17.7.3. SWOT Analysis 17.7.4. Financial Overview 17.7.5. Strategic Overview 17.8. Scio Health Analytics 17.8.1. Company Overview 17.8.2. Product Portfolio 17.8.3. SWOT Analysis 17.8.4. Financial Overview 17.8.5. Strategic Overview 17.9. Take Solutions 17.9.1. Company Overview 17.9.2. Product Portfolio 17.9.3. SWOT Analysis 17.9.4. Financial Overview 17.9.5. Strategic Overview 17.10. Wipro Ltd. 17.10.1. Company Overview 17.10.2. Product Portfolio 17.10.3. SWOT Analysis 17.10.4. Financial Overview 17.10.5. Strategic Overview 18. FutureWise SME key takeaway points for Client
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