PUBLISHER: Grand View Research | PRODUCT CODE: 1301169
PUBLISHER: Grand View Research | PRODUCT CODE: 1301169
The Europe AI in life science analytics market size is anticipated to reach 905.5 million by 2030, expanding at a CAGR of 10.3% from 2023 to 2030, according to a new report by Grand View Research, Inc. This growth is expected to be driven by factors such as an increase in clinical studies, pharmaceutical discoveries, and a greater focus on detecting uncommon diseases. The market is also expanding due to advancements in deep learning and artificial intelligence.
AI-driven technology can analyze and compare vast and intricate datasets, providing more dependable information in less time. The life science industry is experiencing tangible benefits from utilizing AI, facilitated by sophisticated algorithms. With the support of machine learning, AI aids life science companies in expediting and streamlining the development of treatments. AI plays a pivotal role, particularly in the realm of cancer and rare disease treatments.
As a result of its significant impact, the adoption of AI is on the rise. Clinical trials, which involve a rigorous process, can be effectively addressed with the assistance of AI. The screening and analysis of a small fraction of molecules is both time-consuming and costly. Therefore, pharmaceutical companies have been actively investing in creating AI tools that can interpret and scan complex databases more rapidly and accurately. Consequently, the growth of AI in life science analytics has been remarkable.
Furthermore, advanced solutions allow market players to actively engage with patients through digital channels, manage complex supply chains, and provide workforce management. However, the COVID-19 pandemic exposed major areas for improvement for artificial intelligence in life science analytics solutions: dependency of algorithms on historical data and assumption of continuation. The pandemic challenged the basis of predictive analytics and its functioning. Increasing adoption of software solutions such as clinical decision support systems, clinical trial management systems, and data mining, is anticipated to propel market demand.