Snowflake：2026年医疗与生命科学行业数据趋势报告（英文版）（13页）.pdf

1、DATA TRENDS 2026 HEALTHCARE AND LIFE SCIENCESLeading insights on how AI+data are quickly evolving within healthcare and life sciences organizationsTable of ContentsA Year of AI Confidence and Broad Adoption .3Top 3 Data Trends for Healthcare and Life Sciences in 2026 .5Trend 1:Organizations break do

2、wn more data silos to enable AI agents,optimizing internal and business processes .6Trend 2:The foundation of trust for AI will depend on the open semantic layer .8Trend 3:Unified data governance becomes the anchor layer for all data+AI systems .9Snowflakes Leading AI Solutions .10Entering the Age o

3、f Agentic Efficiencies .12Table of Contents|2 DATA TRENDS 2026:HEALTHCARE AND LIFE SCIENCESA Year of AI Confidence and Broad Adoption If 2024 was defined by the initial fervor and understandable hesitation around AI,then 2025 marked the year of meaningful,thoughtful steps toward implementing its gro

4、wing capabilities across the industry.For example,providers deployed AI scribes,allowing doctors to see more ER patients,while life sciences companies democratized access to data-driven insights across the entire business by simply asking questions in natural language to user-friendly interfaces.Giv

5、en this rapid progression,the industry is well-positioned this year for a foundational shift in its approach to AI.Organizations across the ecosystem are starting to move beyond siloed AI pilots toward widespread and autonomous organizationwide solutions,such as streamlining administrative processes

6、 at scale.The next frontier is the adoption of agentic AI,which is expected to automate 3050%of internal business workflows,removing much of the drudgery and boosting output and outcomes across medical,clinical,research and operational departments.In fact,63%of healthcare companies have already adop