ライフサイエンス分析の世界市場の評価：タイプ別、コンポーネント別、デリバリー別、用途別、エンドユーザー別、地域別、機会、予測、2017年～2031年

世界のライフサイエンス分析の市場規模は、予測期間の2024年～2031年に8.12%のCAGRで拡大し、2023年の176億6,000万米ドルから2031年には329億8,000万米ドルに成長すると予測されています。ライフサイエンス分析市場は、心血管疾患、糖尿病、がんなどの慢性疾患の有病率の増加、ライフサイエンスにおける人工知能や機械学習の応用の増加、医薬品や臨床試験における高度な分析ソリューションの採用の増加などの要因により、急速に成長している市場です。

製薬会社、臨床研究機関、およびサプライチェーン、マーケティング、ファーマコビジランス、研究などのその他多数の部門で使用されるあらゆる分析ツールは、ライフサイエンス分析ツールとして分類される可能性があります。これは、より良い患者の治療と管理のための予測ツールを提供する臨床データ分析技術です。実際の統計データ分析スキルは、イノベーションを求める日進月歩の環境において不可欠となっています。ライフサイエンスビジネスでは、製品選択の指針をより良くし、現在の製品を強化し、患者の転帰を改善するために、ソーシャルメディア・データ、CRO、EHRデータを選別するデータ分析がますます利用されるようになっています。Qlikのようなプラットフォームを利用することで、企業は大量のデータを調査し、研究開発、臨床、GMA、商業運営に利用できる市場洞察を得ることができます。

当レポートでは、世界のライフサイエンス分析市場について調査し、市場の概要とともに、タイプ別、コンポーネント別、デリバリー別、用途別、エンドユーザー別、地域別動向、および市場に参入する企業のプロファイルなどを提供しています。

目次

第1章 調査手法

第2章 プロジェクトの範囲と定義

第3章 エグゼクティブサマリー

第4章 世界のライフサイエンス分析市場の見通し、2017年～2031年

• 市場規模と予測
• タイプ別
• コンポーネント別
• デリバリー別
• 用途別
• エンドユーザー別
• 地域別
• 企業別市場シェア（％）、2023年

第5章 世界のライフサイエンス分析市場の見通し、地域別（2017年～2031年）

• 北米
• 欧州
• アジア太平洋
• 南米
• 中東・アフリカ

第6章 市場マッピング、2023年

第7章 マクロ環境と産業構造

• 需要供給分析
• バリューチェーン分析
• PESTEL分析
• ポーターのファイブフォース分析

第8章 市場力学

第9章 規制枠組みとイノベーション

第10章 主要参入企業の情勢

第11章 ケーススタディ

第12章 主要参入企業の見通し

• Oracle Systems Corporation
• IBM Corporation
• Accenture Plc
• IQVIA Holdings Inc
• Cognizant Technology Solutions Corporation
• Wipro Enterprises Limited
• Allscripts Healthcare Solutions Inc
• Optum Inc
• Microsoft Corporation
• SAS Institute Inc.

第13章 戦略的提言

第14章 お問い合わせと免責事項

List of Tables

• Table 1. Pricing Analysis of Products from Key Players
• Table 2. Competition Matrix of Top 5 Market Leaders
• Table 3. Mergers & Acquisitions/ Joint Ventures (If Applicable)
• Table 4. About Us - Regions and Countries Where We Have Executed Client Projects

List of Figures

• Figure 1. Global Life Science Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 2. Global Life Science Analytics Market Share (%), By Type, 2017-2031F
• Figure 3. Global Life Science Analytics Market Share (%), By Component, 2017-2031F
• Figure 4. Global Life Science Analytics Market Share (%), By Delivery, 2017-2031F
• Figure 5. Global Life Science Analytics Market Share (%), By Application, 2017-2031F
• Figure 6. Global Life Science Analytics Market Share (%), By End-user, 2017-2031F
• Figure 7. Global Life Science Analytics Market Share (%), By Region, 2017-2031F
• Figure 8. North America Life Science Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 9. North America Life Science Analytics Market Share (%), By Type, 2017-2031F
• Figure 10. North America Life Science Analytics Market Share (%), By Component, 2017-2031F
• Figure 11. North America Life Science Analytics Market Share (%), By Delivery, 2017-2031F
• Figure 12. North America Life Science Analytics Market Share (%), By Application, 2017-2031F
• Figure 13. North America Life Science Analytics Market Share (%), By End-user, 2017-2031F
• Figure 14. North America Life Science Analytics Market Share (%), By Country, 2017-2031F
• Figure 15. United States Life Science Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 16. United States Life Science Analytics Market Share (%), By Type, 2017-2031F
• Figure 17. United States Life Science Analytics Market Share (%), By Component, 2017-2031F
• Figure 18. United States Life Science Analytics Market Share (%), By Delivery, 2017-2031F
• Figure 19. United States Life Science Analytics Market Share (%), By Application, 2017-2031F
• Figure 20. United States Life Science Analytics Market Share (%), By End-user, 2017-2031F
• Figure 21. Canada Life Science Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 22. Canada Life Science Analytics Market Share (%), By Type, 2017-2031F
• Figure 23. Canada Life Science Analytics Market Share (%), By Component, 2017-2031F
• Figure 24. Canada Life Science Analytics Market Share (%), By Delivery, 2017-2031F
• Figure 25. Canada Life Science Analytics Market Share (%), By Application, 2017-2031F
• Figure 26. Canada Life Science Analytics Market Share (%), By End-user, 2017-2031F
• Figure 27. Mexico Life Science Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 28. Mexico Life Science Analytics Market Share (%), By Type, 2017-2031F
• Figure 29. Mexico Life Science Analytics Market Share (%), By Component, 2017-2031F
• Figure 30. Mexico Life Science Analytics Market Share (%), By Delivery, 2017-2031F
• Figure 31. Mexico Life Science Analytics Market Share (%), By Application, 2017-2031F
• Figure 32. Mexico Life Science Analytics Market Share (%), By End-user, 2017-2031F
• Figure 33. Europe Life Science Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 34. Europe Life Science Analytics Market Share (%), By Type, 2017-2031F
• Figure 35. Europe Life Science Analytics Market Share (%), By Component, 2017-2031F
• Figure 36. Europe Life Science Analytics Market Share (%), By Delivery, 2017-2031F
• Figure 37. Europe Life Science Analytics Market Share (%), By Application, 2017-2031F
• Figure 38. Europe Life Science Analytics Market Share (%), By End-user, 2017-2031F
• Figure 39. Europe Life Science Analytics Market Share (%), By Country, 2017-2031F
• Figure 40. Germany Life Science Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 41. Germany Life Science Analytics Market Share (%), By Type, 2017-2031F
• Figure 42. Germany Life Science Analytics Market Share (%), By Component, 2017-2031F
• Figure 43. Germany Life Science Analytics Market Share (%), By Delivery, 2017-2031F
• Figure 44. Germany Life Science Analytics Market Share (%), By Application, 2017-2031F
• Figure 45. Germany Life Science Analytics Market Share (%), By End-user, 2017-2031F
• Figure 46. France Life Science Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 47. France Life Science Analytics Market Share (%), By Type, 2017-2031F
• Figure 48. France Life Science Analytics Market Share (%), By Component, 2017-2031F
• Figure 49. France Life Science Analytics Market Share (%), By Delivery, 2017-2031F
• Figure 50. France Life Science Analytics Market Share (%), By Application, 2017-2031F
• Figure 51. France Life Science Analytics Market Share (%), By End-user, 2017-2031F
• Figure 52. Italy Life Science Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 53. Italy Life Science Analytics Market Share (%), By Type, 2017-2031F
• Figure 54. Italy Life Science Analytics Market Share (%), By Component, 2017-2031F
• Figure 55. Italy Life Science Analytics Market Share (%), By Delivery, 2017-2031F
• Figure 56. Italy Life Science Analytics Market Share (%), By Application, 2017-2031F
• Figure 57. Italy Life Science Analytics Market Share (%), By End-user, 2017-2031F
• Figure 58. United Kingdom Life Science Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 59. United Kingdom Life Science Analytics Market Share (%), By Type, 2017-2031F
• Figure 60. United Kingdom Life Science Analytics Market Share (%), By Component, 2017-2031F
• Figure 61. United Kingdom Life Science Analytics Market Share (%), By Delivery, 2017-2031F
• Figure 62. United Kingdom Life Science Analytics Market Share (%), By Application, 2017-2031F
• Figure 63. United Kingdom Life Science Analytics Market Share (%), By End-user, 2017-2031F
• Figure 64. Russia Life Science Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 65. Russia Life Science Analytics Market Share (%), By Type, 2017-2031F
• Figure 66. Russia Life Science Analytics Market Share (%), By Component, 2017-2031F
• Figure 67. Russia Life Science Analytics Market Share (%), By Delivery, 2017-2031F
• Figure 68. Russia Life Science Analytics Market Share (%), By Application, 2017-2031F
• Figure 69. Russia Life Science Analytics Market Share (%), By End-user, 2017-2031F
• Figure 70. Netherlands Life Science Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 71. Netherlands Life Science Analytics Market Share (%), By Type, 2017-2031F
• Figure 72. Netherlands Life Science Analytics Market Share (%), By Component, 2017-2031F
• Figure 73. Netherlands Life Science Analytics Market Share (%), By Delivery, 2017-2031F
• Figure 74. Netherlands Life Science Analytics Market Share (%), By Application, 2017-2031F
• Figure 75. Netherlands Life Science Analytics Market Share (%), By End-user, 2017-2031F
• Figure 76. Spain Life Science Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 77. Spain Life Science Analytics Market Share (%), By Type, 2017-2031F
• Figure 78. Spain Life Science Analytics Market Share (%), By Component, 2017-2031F
• Figure 79. Spain Life Science Analytics Market Share (%), By Delivery, 2017-2031F
• Figure 80. Spain Life Science Analytics Market Share (%), By Application, 2017-2031F
• Figure 81. Spain Life Science Analytics Market Share (%), By End-user, 2017-2031F
• Figure 82. Turkey Life Science Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 83. Turkey Life Science Analytics Market Share (%), By Type, 2017-2031F
• Figure 84. Turkey Life Science Analytics Market Share (%), By Component, 2017-2031F
• Figure 85. Turkey Life Science Analytics Market Share (%), By Delivery, 2017-2031F
• Figure 86. Turkey Life Science Analytics Market Share (%), By Application, 2017-2031F
• Figure 87. Turkey Life Science Analytics Market Share (%), By End-user, 2017-2031F
• Figure 88. Poland Life Science Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 89. Poland Life Science Analytics Market Share (%), By Type, 2017-2031F
• Figure 90. Poland Life Science Analytics Market Share (%), By Component, 2017-2031F
• Figure 91. Poland Life Science Analytics Market Share (%), By Delivery, 2017-2031F
• Figure 92. Poland Life Science Analytics Market Share (%), By Application, 2017-2031F
• Figure 93. Poland Life Science Analytics Market Share (%), By End-user, 2017-2031F
• Figure 94. South America Life Science Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 95. South America Life Science Analytics Market Share (%), By Type, 2017-2031F
• Figure 96. South America Life Science Analytics Market Share (%), By Component, 2017-2031F
• Figure 97. South America Life Science Analytics Market Share (%), By Delivery, 2017-2031F
• Figure 98. South America Life Science Analytics Market Share (%), By Application, 2017-2031F
• Figure 99. South America Life Science Analytics Market Share (%), By End-user, 2017-2031F
• Figure 100. South America Life Science Analytics Market Share (%), By Country, 2017-2031F
• Figure 101. Brazil Life Science Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 102. Brazil Life Science Analytics Market Share (%), By Type, 2017-2031F
• Figure 103. Brazil Life Science Analytics Market Share (%), By Component, 2017-2031F
• Figure 104. Brazil Life Science Analytics Market Share (%), By Delivery, 2017-2031F
• Figure 105. Brazil Life Science Analytics Market Share (%), By Application, 2017-2031F
• Figure 106. Brazil Life Science Analytics Market Share (%), By End-user, 2017-2031F
• Figure 107. Argentina Life Science Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 108. Argentina Life Science Analytics Market Share (%), By Type, 2017-2031F
• Figure 109. Argentina Life Science Analytics Market Share (%), By Component, 2017-2031F
• Figure 110. Argentina Life Science Analytics Market Share (%), By Delivery, 2017-2031F
• Figure 111. Argentina Life Science Analytics Market Share (%), By Application, 2017-2031F
• Figure 112. Argentina Life Science Analytics Market Share (%), By End-user, 2017-2031F
• Figure 113. Asia-Pacific Life Science Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 114. Asia-Pacific Life Science Analytics Market Share (%), By Type, 2017-2031F
• Figure 115. Asia-Pacific Life Science Analytics Market Share (%), By Component, 2017-2031F
• Figure 116. Asia-Pacific Life Science Analytics Market Share (%), By Delivery, 2017-2031F
• Figure 117. Asia-Pacific Life Science Analytics Market Share (%), By Application, 2017-2031F
• Figure 118. Asia-Pacific Life Science Analytics Market Share (%), By End-user, 2017-2031F
• Figure 119. Asia-Pacific Life Science Analytics Market Share (%), By Country, 2017-2031F
• Figure 120. India Life Science Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 121. India Life Science Analytics Market Share (%), By Type, 2017-2031F
• Figure 122. India Life Science Analytics Market Share (%), By Component, 2017-2031F
• Figure 123. India Life Science Analytics Market Share (%), By Delivery, 2017-2031F
• Figure 124. India Life Science Analytics Market Share (%), By Application, 2017-2031F
• Figure 125. India Life Science Analytics Market Share (%), By End-user, 2017-2031F
• Figure 126. China Life Science Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 127. China Life Science Analytics Market Share (%), By Type, 2017-2031F
• Figure 128. China Life Science Analytics Market Share (%), By Component, 2017-2031F
• Figure 129. China Life Science Analytics Market Share (%), By Delivery, 2017-2031F
• Figure 130. China Life Science Analytics Market Share (%), By Application, 2017-2031F
• Figure 131. China Life Science Analytics Market Share (%), By End-user, 2017-2031F
• Figure 132. Japan Life Science Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 133. Japan Life Science Analytics Market Share (%), By Type, 2017-2031F
• Figure 134. Japan Life Science Analytics Market Share (%), By Component, 2017-2031F
• Figure 135. Japan Life Science Analytics Market Share (%), By Delivery, 2017-2031F
• Figure 136. Japan Life Science Analytics Market Share (%), By Application, 2017-2031F
• Figure 137. Japan Life Science Analytics Market Share (%), By End-user, 2017-2031F
• Figure 138. Australia Life Science Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 139. Australia Life Science Analytics Market Share (%), By Type, 2017-2031F
• Figure 140. Australia Life Science Analytics Market Share (%), By Component, 2017-2031F
• Figure 141. Australia Life Science Analytics Market Share (%), By Delivery, 2017-2031F
• Figure 142. Australia Life Science Analytics Market Share (%), By Application, 2017-2031F
• Figure 143. Australia Life Science Analytics Market Share (%), By End-user, 2017-2031F
• Figure 144. Vietnam Life Science Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 145. Vietnam Life Science Analytics Market Share (%), By Type, 2017-2031F
• Figure 146. Vietnam Life Science Analytics Market Share (%), By Component, 2017-2031F
• Figure 147. Vietnam Life Science Analytics Market Share (%), By Delivery, 2017-2031F
• Figure 148. Vietnam Life Science Analytics Market Share (%), By Application, 2017-2031F
• Figure 149. Vietnam Life Science Analytics Market Share (%), By End-user, 2017-2031F
• Figure 150. South Korea Life Science Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 151. South Korea Life Science Analytics Market Share (%), By Type, 2017-2031F
• Figure 152. South Korea Life Science Analytics Market Share (%), By Component, 2017-2031F
• Figure 153. South Korea Life Science Analytics Market Share (%), By Delivery, 2017-2031F
• Figure 154. South Korea Life Science Analytics Market Share (%), By Application, 2017-2031F
• Figure 155. South Korea Life Science Analytics Market Share (%), By End-user, 2017-2031F
• Figure 156. Indonesia Life Science Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 157. Indonesia Life Science Analytics Market Share (%), By Type, 2017-2031F
• Figure 158. Indonesia Life Science Analytics Market Share (%), By Component, 2017-2031F
• Figure 159. Indonesia Life Science Analytics Market Share (%), By Delivery, 2017-2031F
• Figure 160. Indonesia Life Science Analytics Market Share (%), By Application, 2017-2031F
• Figure 161. Indonesia Life Science Analytics Market Share (%), By End-user, 2017-2031F
• Figure 162. Philippines Life Science Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 163. Philippines Life Science Analytics Market Share (%), By Type, 2017-2031F
• Figure 164. Philippines Life Science Analytics Market Share (%), By Component, 2017-2031F
• Figure 165. Philippines Life Science Analytics Market Share (%), By Delivery, 2017-2031F
• Figure 166. Philippines Life Science Analytics Market Share (%), By Application, 2017-2031F
• Figure 167. Philippines Life Science Analytics Market Share (%), By End-user, 2017-2031F
• Figure 168. Middle East & Africa Life Science Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 169. Middle East & Africa Life Science Analytics Market Share (%), By Type, 2017-2031F
• Figure 170. Middle East & Africa Life Science Analytics Market Share (%), By Component, 2017-2031F
• Figure 171. Middle East & Africa Life Science Analytics Market Share (%), By Delivery, 2017-2031F
• Figure 172. Middle East & Africa Life Science Analytics Market Share (%), By Application, 2017-2031F
• Figure 173. Middle East & Africa Life Science Analytics Market Share (%), By End-user, 2017-2031F
• Figure 174. Middle East & Africa Life Science Analytics Market Share (%), By Country, 2017-2031F
• Figure 175. Saudi Arabia Life Science Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 176. Saudi Arabia Life Science Analytics Market Share (%), By Type, 2017-2031F
• Figure 177. Saudi Arabia Life Science Analytics Market Share (%), By Component, 2017-2031F
• Figure 178. Saudi Arabia Life Science Analytics Market Share (%), By Delivery, 2017-2031F
• Figure 179. Saudi Arabia Life Science Analytics Market Share (%), By Application, 2017-2031F
• Figure 180. Saudi Arabia Life Science Analytics Market Share (%), By End-user, 2017-2031F
• Figure 181. UAE Life Science Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 182. UAE Life Science Analytics Market Share (%), By Type, 2017-2031F
• Figure 183. UAE Life Science Analytics Market Share (%), By Component, 2017-2031F
• Figure 184. UAE Life Science Analytics Market Share (%), By Delivery, 2017-2031F
• Figure 185. UAE Life Science Analytics Market Share (%), By Application, 2017-2031F
• Figure 186. UAE Life Science Analytics Market Share (%), By End-user, 2017-2031F
• Figure 187. South Africa Life Science Analytics Market, By Value, In USD Billion, 2017-2031F
• Figure 188. South Africa Life Science Analytics Market Share (%), By Type, 2017-2031F
• Figure 189. South Africa Life Science Analytics Market Share (%), By Component, 2017-2031F
• Figure 190. South Africa Life Science Analytics Market Share (%), By Delivery, 2017-2031F
• Figure 191. South Africa Life Science Analytics Market Share (%), By Application, 2017-2031F
• Figure 192. South Africa Life Science Analytics Market Share (%), By End-user, 2017-2031F
• Figure 193. By Type Map-Market Size (USD Billion) & Growth Rate (%), 2023
• Figure 194. By Component Map-Market Size (USD Billion) & Growth Rate (%), 2023
• Figure 195. By Delivery Map-Market Size (USD Billion) & Growth Rate (%), 2023
• Figure 196. By Application Map-Market Size (USD Billion) & Growth Rate (%), 2023
• Figure 197. By End-user Map-Market Size (USD Billion) & Growth Rate (%), 2023
• Figure 198. By Region Map-Market Size (USD Billion) & Growth Rate (%), 2023

Global life science analytics market is projected to witness a CAGR of 8.12% during the forecast period 2024-2031F, growing from USD 17.66 billion in 2023 to USD 32.98 billion in 2031F. The life science analytics market is a rapidly growing market due to factors such as increasing prevalence of chronic diseases such as cardiovascular diseases, diabetes and cancer, increasing application of artificial intelligence and machine learning in life sciences and rising adoption of advanced analytics solutions in pharmaceuticals and clinical trials.

Any analytical tool used by pharmaceutical companies, clinical research organizations, and a host of other departments, such as supply chain, marketing, pharmacovigilance, and research, may be categorized as a life science analytics tool. It is a clinical data analysis technique that offers forecasting tools for better patient treatment and management. Real-world statistical data analysis skills have become critical in an ever-evolving environment that seeks innovation. Life science businesses are increasingly using data analytics to sort through social media data, CRO, and EHR data in order to better guide their product choices, enhance their current offerings, and improve patient outcomes. Through the use of platforms like Qlik, businesses may investigate large amounts of data and obtain market insights that can be used to R&D, clinical, GMA, and commercial operations. According to a recent Deloitte poll, 91% of life sciences businesses intend to invest in R&D innovation in 2023, and over half of them are optimistic about the industry's prospects for that year. However, the success of the present high-risk, high-cost R&D framework still has to overcome major financial challenges. To overcome these obstacles and prosper in the post-pandemic environment, life sciences research and development (R&D) companies need to give top priority to accelerating digital transformation projects, strategic changes, and commercial restructuring.

Increasing Application of Artificial Intelligence and Machine Learning in Life Sciences

Most organizations in life sciences and healthcare have only scratched the surface of AI and ML's potential. AI and ML are primarily being used to automate repetitive tasks and standard business processes. However, AI is now widely recognized as a strategic business issue in this area and is actively being discussed at the board and C-suite levels. By combining AI technology with the fields of medicine and science, organizations are looking for opportunities to transform some of their most critical processes and achieve sustainable competitive advantage through AI. AI is predicted to have a revolutionary effect on biopharma research and development (R&D) within the next three to five years, especially in the area of drug discovery. Life sciences businesses will follow proof-of-concept and pilot programs for AI in many other areas of the value chain in the interim.

As per a report published by Philips's Future Health Index report for 2024, 2,800 respondents from 14 different countries indicated that 85% of them invest in technology or plan to do so in the next three years.

Rising Adoption of Advanced Analytics Solutions in Pharmaceuticals, Medical Devices and Clinical Trials

Healthcare leaders see a wide range of opportunities to improve patient care by bringing data from disparate sources together in a meaningful way. Healthcare professionals believe data-driven insights could help optimize treatment plans and care pathways, identify evidence-based practices, and reduce waiting lists for diagnostic and elective procedures. However, to deliver on these possibilities, healthcare leaders recognize they first need to get the foundations right. The foundation of seamless data integration can be done by improving the accuracy of patient data, enhancing interoperability among different platforms and healthcare settings, and strengthening data security and privacy. Healthcare executives see several chances to enhance patient care by integrating data from various sources. Healthcare practitioners think data-driven insights might assist in finding evidence-based treatments, streamline treatment plans and care pathways, and shorten waiting lists for elective and diagnostic procedures. Healthcare executives understand that, in order to realize these opportunities fully, they must first lay the necessary groundwork. Improving patient data accuracy, boosting platform and healthcare setting interoperability, and fortifying data security and privacy are the cornerstones of a smooth data integration process.

In 2024, Yotta Data Services announced a partnership with Partex NV to improve healthcare services in drug discovery and patient care. The partnership will leverage Yotta's Shakti-Cloud platform, backed by Nvidia H100 GPU processing infrastructure, to enable Partex's AI-driven healthcare solutions. The collaboration intends to create AI-based solutions that will improve healthcare services' efficacy and efficiency, especially in the areas of patient care and drug development.

Predictive Analytics is Expected to Register Fast Growth in the Forecast Period

Predictive analytics may improve healthcare by assisting in clinical decision-making, providing direction for population health management, and promoting value-based treatment. In the healthcare industry, predictive analytics is essential in enhancing patient outcomes and the delivery of treatment. This kind of analytics enables health organizations to predict future outcomes from an operational and clinical standpoint by utilizing past data. Healthcare organizations seeking value-based care may find this capacity especially helpful, as it can assist stakeholders in identifying areas where their present strategies may be insufficient and working toward changing them.

For instance, mPulse Mobile, Inc reported strong Q1 2024 growth and launched a new predictive analytics and engagement solution in 2024. In addition, mPulse announced the opening of a new category in the digital health ecosystem with the introduction of its omnichannel engagement and integrated predictive analytics product capabilities. Growth at mPulse was driven by increased automation and efficiency in its business areas for health portals, predictive analytics, and omnichannel interaction.

North America Dominates the Global Life Science Analytics Market

In the life sciences analytics sector, North America serves as the epicenter for innovation and technical developments. Numerous well-known biotechnology, pharmaceutical, and medical device companies are based in the area, and they extensively engage in data analytics to maintain regulatory compliance, boost sales and marketing initiatives, improve clinical trial quality, and increase productivity in research and development. Leading research institutes and a strong healthcare system are two other factors that make North America a leader in life science analytics. Adoption of advanced analytics solutions is also required in North American countries due to their complex regulatory framework and well-established data management processes.

In 2024, OpenAI Inc. announced its partnership with Color Health, Inc. to apply its AI models to cancer detection and treatment, hence expanding the application of AI in healthcare. Using OpenAI's GPT-4o model, Color Health, a startup that was established in 2013 as a genetic testing firm, developed an AI assistant or "copilot" in 2024. The copilot assists physicians in developing pretreatment programs for patients with cancer diagnoses as well as strategies for cancer screening.

Future Market Scenario (2024-2031F)

The value of data analytics in fostering innovation and growth is now well-acknowledged in the life science sector. With applications ranging from predictive modeling to personalized medicine, this technology has the potential to completely change the way the world sees healthcare. Artificial intelligence is developing at a fast pace; it transforms the commercial world and increases our trust in utilizing automation, robots, and machine learning. Unlike traditional approaches, modern machine learning and artificial intelligence systems can handle vast data sets. It improves the ability to foresee and manage, which, in the end, means saving lives in the healthcare industry. Data analytics appears to have a bright and exciting future in the life science sector. Given the industry's ongoing adoption of AI technology and data-driven methodologies, it is essential to discuss the ethical implications and issues associated with these developments. In order to improve patient outcomes, streamline operations, and spur innovation, the life science industry can responsibly and effectively harness the power of data analytics by investing in data privacy and security, addressing biases, fostering transparency, encouraging collaboration, and developing a skilled workforce.

Key Players Landscape and Outlook

Several medical device companies like Oracle Systems Corporation, IBM Corporation, Accenture Plc, IQVIA Holdings Inc, Cognizant Technology Solutions Corporation, Wipro Enterprises Limited, Allscripts Healthcare Solutions Inc, Optum Inc, Microsoft Corporation and SAS Institute Inc are flourishing in the global life science analytics market by planning and adopting new strategies. They are complying with new strategic initiatives for AI and ML technologies to increase their market presence. New agreements, contracts, acquisitions, mergers, investments, and partnerships are major ways through which they are trying to achieve higher market share.

In June 2024, Simplify Healthcare Technology acquired Virtical.ai in order to expedite the integration of artificial intelligence. The consumer bases of both organizations are going to benefit greatly from the acquisition. The advanced AI platform from Virtical.ai and the well-established cloud-based platform from Simplify Healthcare, Simplify Health Cloud, will combine to deliver an effective tool that will enable payers to achieve new heights of creativity, efficiency, and growth enablers.

Table of Contents

1. Research Methodology

2. Project Scope and Definitions

3. Executive Summary

4. Global Life Science Analytics Market Outlook, 2017-2031F

• 4.1. Market Size & Forecast
  • 4.1.1. By Value
• 4.2. By Type
  • 4.2.1. Descriptive Analytics
  • 4.2.2. Predictive Analytics
  • 4.2.3. Prescriptive Analytics
• 4.3. By Component
  • 4.3.1. Software
  • 4.3.2. Services
• 4.4. By Delivery
  • 4.4.1. On-Premises Model
  • 4.4.2. On-Demand Model
• 4.5. By Application
  • 4.5.1. Research and Development
  • 4.5.2. Regulatory Compliance
  • 4.5.3. Supply Chain Optimization
  • 4.5.4. Clinical Trials
  • 4.5.5. Pharmacovigilance
  • 4.5.6. Sales and Marketing
  • 4.5.7. Others
• 4.6. By End-user
  • 4.6.1. Pharmaceutical
  • 4.6.2. Biotechnology
  • 4.6.3. Medical Device
  • 4.6.4. Others
• 4.7. By Region
  • 4.7.1. North America
  • 4.7.2. Europe
  • 4.7.3. Asia-Pacific
  • 4.7.4. South America
  • 4.7.5. Middle East and Africa
• 4.8. By Company Market Share (%), 2023

5. Global Life Science Analytics Market Outlook, By Region, 2017-2031F

• 5.1. North America*
  • 5.1.1. Market Size & Forecast
    • 5.1.1.1. By Value
  • 5.1.2. By Type
    • 5.1.2.1. Descriptive Analytics
    • 5.1.2.2. Predictive Analytics
    • 5.1.2.3. Prescriptive Analytics
  • 5.1.3. By Component
    • 5.1.3.1. Software
    • 5.1.3.2. Services
  • 5.1.4. By Delivery
    • 5.1.4.1. On-Premises Model
    • 5.1.4.2. On-Demand Model
  • 5.1.5. By Application
    • 5.1.5.1. Research and Development
    • 5.1.5.2. Regulatory Compliance
    • 5.1.5.3. Supply Chain Optimization
    • 5.1.5.4. Clinical Trials
    • 5.1.5.5. Pharmacovigilance
    • 5.1.5.6. Sales and Marketing
    • 5.1.5.7. Others
  • 5.1.6. By End-user
    • 5.1.6.1. Pharmaceutical
    • 5.1.6.2. Biotechnology
    • 5.1.6.3. Medical Devices
    • 5.1.6.4. Others
  • 5.1.7. United States*
    • 5.1.7.1. Market Size & Forecast
      • 5.1.7.1.1. By Value
    • 5.1.7.2. By Type
      • 5.1.7.2.1. Descriptive Analytics
      • 5.1.7.2.2. Predictive Analytics
      • 5.1.7.2.3. Prescriptive Analytics
    • 5.1.7.3. By Component
      • 5.1.7.3.1. Software
      • 5.1.7.3.2. Services
    • 5.1.7.4. By Delivery
      • 5.1.7.4.1. On-Premises Model
      • 5.1.7.4.2. On-Demand Model
    • 5.1.7.5. By Application
      • 5.1.7.5.1. Research and Development
      • 5.1.7.5.2. Regulatory Compliance
      • 5.1.7.5.3. Supply Chain Optimization
      • 5.1.7.5.4. Clinical Trials
      • 5.1.7.5.5. Pharmacovigilance
      • 5.1.7.5.6. Sales and Marketing
      • 5.1.7.5.7. Others
    • 5.1.7.6. By End-user
      • 5.1.7.6.1. Pharmaceutical
      • 5.1.7.6.2. Biotechnology
      • 5.1.7.6.3. Medical Devices
      • 5.1.7.6.4. Others
  • 5.1.8. Canada
  • 5.1.9. Mexico

All segments will be provided for all regions and countries covered

• 5.2. Europe
  • 5.2.1. Germany
  • 5.2.2. France
  • 5.2.3. Italy
  • 5.2.4. United Kingdom
  • 5.2.5. Russia
  • 5.2.6. Netherlands
  • 5.2.7. Spain
  • 5.2.8. Turkey
  • 5.2.9. Poland
• 5.3. Asia-Pacific
  • 5.3.1. India
  • 5.3.2. China
  • 5.3.3. Japan
  • 5.3.4. Australia
  • 5.3.5. Vietnam
  • 5.3.6. South Korea
  • 5.3.7. Indonesia
  • 5.3.8. Philippines
• 5.4. South America
  • 5.4.1. Brazil
  • 5.4.2. Argentina
• 5.5. Middle East and Africa
  • 5.5.1. Saudi Arabia
  • 5.5.2. UAE
  • 5.5.3. South Africa

6. Market Mapping, 2023

• 6.1. By Type
• 6.2. By Component
• 6.3. By Delivery
• 6.4. By Application
• 6.5. By End-user
• 6.6. By Region

7. Macro Environment and Industry Structure

• 7.1. Demand Supply Analysis
• 7.2. Value Chain Analysis
• 7.3. PESTEL Analysis
  • 7.3.1. Political Factors
  • 7.3.2. Economic System
  • 7.3.3. Social Implications
  • 7.3.4. Technological Advancements
  • 7.3.5. Environmental Impacts
  • 7.3.6. Legal Compliances and Regulatory Policies (Statutory Bodies Included)
• 7.4. Porter's Five Forces Analysis
  • 7.4.1. Supplier Power
  • 7.4.2. Buyer Power
  • 7.4.3. Substitution Threat
  • 7.4.4. Threat From New Entrant
  • 7.4.5. Competitive Rivalry

8. Market Dynamics

• 8.1. Growth Drivers
• 8.2. Growth Inhibitors (Challenges and Restraints)

9. Regulatory Framework and Innovation

• 9.1. Patent Landscape
• 9.2. Innovations/Emerging Technologies

10. Key Players Landscape

• 10.1. Competition Matrix of Top Five Market Leaders
• 10.2. Market Revenue Analysis of Top Five Market Leaders (By Value, 2023)
• 10.3. Mergers and Acquisitions/Joint Ventures (If Applicable)
• 10.4. SWOT Analysis (For Five Market Players)

11. Case Studies

12. Key Players Outlook

• 12.1. Oracle Systems Corporation
  • 12.1.1. Company Details
  • 12.1.2. Key Management Personnel
  • 12.1.3. Products and Services
  • 12.1.4. Financials (As Reported)
  • 12.1.5. Key Market Focus and Geographical Presence
  • 12.1.6. Recent Developments
• 12.2. IBM Corporation
• 12.3. Accenture Plc
• 12.4. IQVIA Holdings Inc
• 12.5. Cognizant Technology Solutions Corporation
• 12.6. Wipro Enterprises Limited
• 12.7. Allscripts Healthcare Solutions Inc
• 12.8. Optum Inc
• 12.9. Microsoft Corporation
• 12.10. SAS Institute Inc.

Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.

13. Strategic Recommendations

14. About Us & Disclaimer