Digital Pathology Market to Reach $3.86 Billion by 2033

September 25, 2025
The Digital Pathology Market is projected to grow from $1.31 billion in 2024 to $3.86 billion by 2033, driven by AI-powered diagnostics and telepathology solutions, according to a press release.

The Digital Pathology Market is expected to grow significantly, reaching $3.86 billion by 2033, announced in a press release. This growth is driven by the adoption of AI-powered image analysis, telepathology solutions, and integrated digital workflows in clinical diagnostics, research, and education.

In 2024, the market size was $1.31 billion, with hardware devices being the largest segment, valued at $650 million. Software solutions, driven by AI-powered diagnostic algorithms and cloud-based platforms, are experiencing the fastest growth. The U.S. leads the market, valued at $530 million in 2024, due to a high cancer burden and strong regulatory support.

Key players like PathAI and Philips are expanding their AI-powered digital pathology platforms across major hospital networks. The market's expansion is further fueled by rising cancer prevalence, shortages of skilled pathologists, and increasing reliance on remote consultation.

We hope you enjoyed this article.

Consider subscribing to one of our newsletters like Life AI Weekly or Daily AI Brief.

Also, consider following us on social media:

Subscribe to Life AI Weekly

Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.

Whitepaper

Stanford HAI’s 2025 AI Index Reveals Record Growth in AI Capabilities, Investment, and Regulation

The 2025 AI Index by Stanford HAI provides a comprehensive overview of the global state of artificial intelligence, highlighting significant advancements in AI capabilities, investment, and regulation. The report details improvements in AI performance, increased adoption in various sectors, and the growing global optimism towards AI, despite ongoing challenges in reasoning and trust. It serves as a critical resource for policymakers, researchers, and industry leaders to understand AI's rapid evolution and its implications.

Read more