Home » All Reports » Page 11
This chapter provides composite metrics for hospital systems surveyed. The 13 organizations in this sample range from under $155 million to over $20 billion in gross revenue.
Chapter 3 provides composite metrics for single hospitals surveyed. The 17 organizations in this sample range from just under $50 million to over $14 billion in gross revenue.
Smaller and midtier healthcare systems face mounting financial, regulatory, and workforce pressures amid industry consolidation. Despite these challenges, their deep community ties and operational agility offer unique advantages. The report outlines a phased road map: immediate stabilization through contract audits and workforce initiatives; midterm growth via alliances, employer partnerships, and scalable analytics; and long-term differentiation through CoEs, telehealth, equity initiatives, and policy engagement. Success depends on transparent operations and strategic investments, as well as leveraging external expertise to build resilience and sustainable margins.
This chapter provides composite metrics for all of the organizations surveyed. The 51 organizations in this sample range from just under $50 million to over $115 billion in gross revenue.
This chapter provides an overview of the key findings from the full study and describes the contents of the subsequent chapters. It also includes information on the study participants and the survey methodology.
This study is designed to give business leaders insights into the adoption, investment, and customer experience of 15 technologies in each category. It provides a glimpse into how quickly an emerging technology is being adopted, how deeply more established technologies penetrate the market, and how positively customers experience each of them. The study also delves into the specific types of solutions under consideration. By understanding adoption trends, investment activity, and customer experience, decision-makers are in a better position to assess the potential risks and rewards of investing in each of these technologies. They can also gain insights into just how aggressively competitors and peers are investing in them.
Artificial Intelligence (AI) has fundamentally redefined the role of Customer Relationship Management (CRM) platforms. No longer confined to record-keeping, CRM platforms have evolved into predictive engines that drive personalization, operational efficiency, and customer loyalty. For executives and procurement leaders, the challenge is no longer whether to adopt AI, but how to select CRM vendors whose AI roadmaps align with long-term business strategy, governance, and regulatory requirements.
In an age where content is unlimited, but attention is scarce, media companies face a growing paradox: how to deliver stories that capture attention without drowning audiences in noise. At the same time, the pressure to produce content faster has intensified, particularly in journalism where deadlines often cut into depth. Together, these twin challenges—the demand for personalized engagement and the need for speed—have forced the industry to search for new solutions. Increasingly, the answer lies in artificial intelligence. Far from replacing creativity, AI is emerging as a tool to repurpose content, personalize experiences, and streamline production, allowing creators to focus on what matters most: telling stories that resonate. Industry leaders, including those speaking at Avasant’s “Empowering Beyond Summit,” have echoed this view—arguing that AI is becoming not a threat, but an enhancer of creativity (Avasant Summit Video, 2025).
The Generative AI Services 2025 Market Insights™ assists organizations in identifying important demand-side trends that are expected to have a long-term impact on any Gen AI project. The report also highlights key challenges that enterprises face today.
Enterprises are accelerating the adoption of generative AI to achieve measurable productivity gains, fueling growth in large-scale transformations and managed service deals. At the same time, many are developing proprietary large language models to enhance contextual accuracy, regulatory compliance, and data sovereignty. While automation-led functions are scaling rapidly, compliance-heavy areas continue to advance cautiously. In parallel, national investments in sovereign AI are strengthening domestic compute and data ecosystems, reinforcing the foundation for enterprise-grade AI maturity.
Login to get free content each month and build your personal library at Avasant.com