Veterinary histopathology market seen reaching $1.51B by 2030

Jul. 8, 2026
By AI, Created 16:00 UTC, Jul 08, 2026, AGP -

The veterinary histopathology market is projected to grow from $0.98 billion in 2025 to $1.51 billion by 2030, according to The Business Research Company. Growth is being driven by animal disease prevalence, digital pathology adoption and wider use of AI-powered diagnostics in veterinary labs.

Why it matters: - Veterinary histopathology helps veterinarians detect infections, cancers and other diseases at the tissue level. - Stronger demand for precise diagnostics could improve animal health outcomes and support faster treatment decisions. - The market’s shift toward digital and AI-enabled workflows may change how veterinary labs process tissue samples and share results.

What happened: - The Business Research Company released its Veterinary Histopathology Global Market Report 2026 covering market size, trends and a forecast through 2035. - The report estimates the market at $0.98 billion in 2025 and $1.07 billion in 2026. - The report projects the market will reach $1.51 billion by 2030. - The forecast implies a 8.7% CAGR from 2025 to 2026 and a 9.0% CAGR through 2030. - The company also made a free sample report available here. - The full report is available here.

The details: - Rising animal infectious diseases and cancers are supporting demand for tissue-based diagnostics. - Expansion of veterinary laboratory infrastructure, especially in urban areas, is adding capacity for histopathology testing. - Manual microscopic examination remains the primary diagnostic technique in the market. - Slow adoption of digital pathology tools still shapes the current market structure. - The report expects AI-powered diagnostic pathology systems to gain ground in veterinary laboratories. - Digital histopathology and remote consultation services are expected to expand. - Other growth drivers include precision medicine in animal health, automated tissue processing, improved imaging technologies and investment in veterinary diagnostic infrastructure. - The report identifies AI-assisted digital image analysis, cloud-based collaboration platforms, automated slide scanning, advanced biomarker staining and integrated laboratory automation as key trends.

Between the lines: - The market’s growth outlook reflects a broader move from manual workflows toward more automated and data-driven diagnostics. - Animal disease pressure is not just a veterinary issue; it also matters for livestock productivity and, in some cases, human health risk. - In March 2026, Swine Health Org data showed IAV positivity at 42.2% in wean-to-market pigs and 27.4% in adult/sow farms. - Swine Health Org also reported PEDV positivity at 12.6%, including 14.0% in adult/sow farms and 17.5% in wean-to-market pigs. - Those infection levels underscore the need for more precise diagnostic tools across animal health settings. - North America held the largest market share in 2025, supported by advanced healthcare infrastructure and technology adoption. - Asia-Pacific is expected to be the fastest-growing region during the forecast period as veterinary services expand and diagnostic investment rises.

What's next: - Veterinary labs are expected to adopt more AI-based pathology tools and digital slide workflows through 2030. - Cloud collaboration and remote consultation services should become more common as pathology networks mature. - Automated processing and high-throughput lab systems are likely to gain importance as demand rises. - The company said its 2026 reports now include market attractiveness scoring, TAM analysis, company scoring matrix graphics, Excel-based forecasting dashboards, market hotspot infographics, key technology analysis and updated graphics and tables.

The bottom line: - Veterinary histopathology is moving from a niche diagnostic field toward a technology-upgraded growth market, with demand tied to animal disease prevalence and the push for faster, more accurate testing.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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