Search results for: 'Defense Data Analytics, Machine Learning, and Artificial Intelligence Growth Opportunities'

This edition of the Life Science, Health & Wellness Technology Opportunity Engine (TOE) delivers strategic insights into breakthrough innovations shaping the future of healthcare, life sciences, and precision medicine. It highlights AI-driven platforms, advanced biologics, and digital health solutions that address critical challenges in accessibili...

Digital Twin technology, or the application of predictive analytics to fields as diverse as manufacturing and space science, is now being considered in the context of healthcare. The attraction is obvious: if one can develop a computer model of a patient, perhaps one can test treatments on the model before applying them to the individual. Rather t...

06 Feb 2018  |  Global  |  Market Research

Growth Opportunities in Clinical Trial Data Management and eClinical Solutions Market, Forecast to 2020

Digitization Presents Opportunities for Unified Cloud-based Platform Solutions to Optimize Clinical Trial Workflows

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Key Issues Addressed

The global clinical trial IT market is expected to grow from $2.63 billion in 2016 to $4.29 billion in 2020 at a compound annual growth rate (CAGR) of more than 13.0%. North America will continue to hold the largest market share (by revenue) in 2017, followed by Europe. Increasing clinical trial activities in the emerging Asia-Pacific markets and r...

The pharmaceutical and biotechnology industries are entering a transformative era in 2025, shaped by a convergence of scientific innovation, regulatory evolution, and market pressures. One of the key imperatives is the continued advancement of therapeutics and drug approvals, as breakthrough treatments, particularly in personalized medicine, promis...

The discovery of new drug targets for diseases with unmet medical needs has long been hindered by the complexity of processing and interpreting massive volumes of biological data. The increasing volume and veracity of clinical and research data compels the use of enabling tools and technologies, such as cloud computing, AI, machine learning, natura...

The pandemic years left different learnings in terms of mental and behavioral health. The isolation addressed the migration of patients with different needs and conditions from on-site treatments to digital platforms and solutions, highlighting benefits and challenges for providers and users. The main pivotal change is a new, holistic mental and be...

Artificial intelligence is becoming increasingly relevant to antibody discovery and immunotherapy development, supporting target identification, de novo antibody design, antibody engineering, clinical intelligence, and bioprocessing. Advances in generative AI, protein language models, diffusion models, and structure-based models are expanding the u...

A digital biomarker refers to measurable data about physiological functions or behaviors collected through digital devices and technologies, such as wearables, implants, ingestible sensors, smartphones, and mobile applications. These biomarkers provide continuous, real-time insights into an individual’s health status and are used to monitor normal ...

In recent years, single-cell analysis has changed rapidly. It began as a niche, specialized technology with few companies offering solutions, which then became commonly used in academia. Subsequently, its use has spread to areas such as biopharma, with more companies investing in the research and development (R&D) of single-cell analysis projects. ...