Healthcare Foresights releases AI in medical coding market report with 2026-2035 forecast

The GlobeNewswire announcement cites multiple market size figures for 2025, 2026 and 2035, while much of the release discusses the separate AI in medical imaging market.

Summary

Healthcare Foresights said it has published a new report on the global AI in medical coding market covering 2026 to 2035. The release says the market was valued at approximately USD 3 billion in 2025, is expected to reach USD 3.4 billion in 2026, and is projected to grow to around USD 10.6 billion by 2035 at a CAGR of about 13.5%. Elsewhere in the same announcement, the report scope lists market size in 2025 at USD 2.9 billion, market size in 2026 at USD 3.5 billion, projected market size in 2035 at USD 19.4 billion, and a CAGR of 20.9%. Much of the text shifts from medical coding to AI in medical imaging, describing uses of AI for x-rays, CT, MRIs, ultrasounds and mammograms in radiology, cardiology, oncology and neurology. It says adoption is being driven by imaging data volumes, demand for faster and more accurate diagnosis, deep learning (AI models trained on data) advances, digital health uptake and regulatory support. The release also highlights workflow integration with PACS (picture archiving and communication system) and RIS (radiology information system), cloud deployment and explainability features. The announcement includes segment commentary, regional growth claims, a list of medical imaging companies, and a recent development citing Siemens Healthineers' 2025 expansion of its AI-Rad Companion line for chest CT and MRI analysis. It also contains extensive promotional material for sample access, custom reports and purchase options.

Terms & Concepts
  • AI in medical coding: Artificial intelligence used to automate medical billing code tasks.
  • deep learning: AI technique using layered models to learn patterns from data.
  • PACS: Hospital system for storing and viewing medical images.