IDC: It is expected that investment in generative artificial intelligence in the healthcare industry will double by 2026.

Recently, the International Data Corporation (IDC) released a report summarizing the top ten trends in the healthcare industry from 2025 to 2030 to help businesses formulate future strategies. It pointed out that by 2026, investment in generative artificial intelligence (GenAI) in the medical industry will double due to rapid deployment of generative AI, high-quality clinical data, and support from healthcare institutions. IDC's top ten predictions for the Chinese healthcare industry in 2025 are as follows: Prediction 1: Medical Generative AI Explosion By 2026, investment in generative artificial intelligence (GenAI) in the healthcare industry will double due to rapid deployment of generative AI, high-quality clinical data, and support from healthcare institutions. Prediction 2: Implementation of Medical Generative AI By 2027, due to low-quality data, fragmented workflows, and end-user resistance, 75% of GenAI initiatives in the healthcare industry will not achieve the expected benefits. Prediction 3: Zero Trust Healthcare By 2027, escalating cybersecurity risks will drive 30% of healthcare institutions to adopt AI-based threat intelligence solutions to ensure healthcare continuity and protect patient information. Prediction 4: Clinical Automation By 2027, by applying intelligent automation technologies to optimize clinical, operational, and management workflows, the Chinese healthcare industry will save up to $40 billion in costs. Prediction 5: Multi-year Healthcare Plans By 2028, 20% of patients will join multi-year reimbursement models, requiring long-term investments to integrate this payment mechanism with long-term care models. Prediction 6: Hybrid Healthcare Models By 2028, driven by the need to enhance medical collaboration, expand healthcare accessibility, and improve digital literacy, 50% of patients in China will experience hybrid healthcare models. Prediction 7: Public Health 3.0 By 2029, AI-driven public health 3.0 programs will accelerate policy planning, execution, and resource integration, increasing community participation and coverage by 40%. Prediction 8: Next round of Epidemic Prevention By 2029, investment in AI-driven early disease screening projects in China will double to prevent the "pandemic" of non-communicable diseases, with a focus on cancer and neurological diseases. Prediction 9: Patient Digital Twin By 2029, the adoption rate of patient digital twin technology in large medical institutions will increase by 50%, changing medical education models, improving clinical cost-effectiveness, and enhancing the safety of personalized healthcare. Prediction 10: Precision Surgery By 2029, in China's top hospitals, at least 50% of high-difficulty surgeries will use artificial intelligence for real-time guidance, tactile feedback, and advanced analysis, reducing surgical complications by 60%.