市場調查報告書
商品編碼
1463418
全球數位病理學市場規模、佔有率、成長分析、依產品(軟體、設備)、依應用(藥物發現和開發、學術研究)- 2024-2031 年產業預測Global Digital Pathology Market Size, Share, Growth Analysis, By Product(Software, device), By Application(Drug discovery & development, academic research) - Industry Forecast 2024-2031 |
2022 年全球數位病理市場規模為 9.7 億美元,預計將從 2023 年的 10.5 億美元成長到 2031 年的 19.1 億美元,預測期內(2024-2031 年)複合年成長率為 7.8%。
全球數位病理學市場是醫療診斷和研究行業中快速擴張的一個領域,對更精確、更有效的診斷儀器的需求不斷成長,推動了全球數位病理學市場的發展。作為數位病理學的一部分,病理標本被數位化和分析,這有利於更簡單的病理學家協作、更準確的診斷和更快的周轉時間。對個人化醫療的需求不斷成長,這需要更準確和更有針對性的診斷,這是推動數位病理學市場的主要因素之一。此外,癌症等慢性疾病發生率的上升也推動了對更有效診斷儀器的需求。由於具有提高診斷效率和準確性的潛力,人工智慧和機器學習技術在數位病理學中的使用預計也將推動市場擴張。但市場上也存在困難。數位病理設備的昂貴成本以及需要經過培訓的人員來操作這些設備可能會阻礙其採用,尤其是在發展中國家。對資料安全和隱私的擔憂也可能成為產業擴張的障礙。儘管存在這些障礙,該行業仍有很大的發展和創新前景。數位病理學與雲端運算和遠距醫療等其他技術的整合為提高效率和團隊合作開闢了新的可能性。由於學術和研究機構擴大使用數位病理平台和遠距病理會診,市場拓展出現了新的前景。
Global Digital Pathology Market size was valued at USD 0.97 billion in 2022 and is poised to grow from USD 1.05 billion in 2023 to USD 1.91 billion by 2031, at a CAGR of 7.8% during the forecast period (2024-2031).
A rapidly expanding segment of the medical diagnostics and research industry, the worldwide digital pathology market is being propelled by the growing need for more precise and effective diagnostic instruments. Pathology specimens are digitized and analyzed as part of digital pathology, which facilitates simpler pathologist collaboration, more accurate diagnoses, and quicker turnaround times. The increasing need for individualized medicine, which necessitates more accurate and focused diagnostics, is one of the major factors propelling the digital pathology market. Furthermore, the need for more effective diagnostic instruments is being driven by the rising incidence of chronic illnesses like cancer. Due to the potential to improve diagnostic efficiency and accuracy, the use of AI and machine learning technologies in digital pathology is also anticipated to propel market expansion. But there are difficulties in the market. Adoption may be hampered by the expensive cost of digital pathology equipment and the requirement for trained individuals to run them, especially in developing nations. Concerns about data security and privacy could also be a barrier to industry expansion. Notwithstanding these obstacles, there are a lot of development and innovation prospects in the industry. Digital pathology's integration with other technologies-like cloud computing and telemedicine-opens up new possibilities for efficiency gains and teamwork. There are fresh prospects for market expansion due to the increasing use of digital pathology platforms and remote pathology consultations in academic and research institutions.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Digital Pathology Market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Digital Pathology Market Segmental Analysis
Global Digital Pathology Market is segmented on the basis of product, application, and region. By product, the market is segmented into software, device, and storage systems. By application, the market is segmented into drug discovery & development, academic research, and disease diagnosis. By region, the market is segmented into North America, Europe, Asia Pacific, Middle East and Africa, and Latin America.
Drivers of the Global Digital Pathology Market
The introduction of digital pathology is being propelled by ongoing developments in digital imaging technologies, including whole-slide imaging (WSI), high-resolution scanners, and image processing software. Diagnoses made with greater accuracy and efficiency are made possible by these technical advancements, which also provide better image quality, quicker scanning times, and stronger analytic tools. Artificial intelligence (AI) tools and deep learning algorithms, for instance, have made it possible to automatically analyze images and identify anomalies in pathology slides, which helps pathologists make decisions.
Restraints in the Global Digital Pathology Market
Digital pathology system implementation necessitates a large initial investment in software, storage infrastructure, and scanners. Digitizing slides, keeping up digital archives, and hiring staff can be expensive, especially for smaller labs or medical institutes with tight resources. Furthermore, several businesses may face difficulties incorporating digital pathology into their current laboratory operations and meeting the requirements for infrastructure changes and IT support.
Market Trends of the Global Digital Pathology Market
Telepathology and Remote Consultation: With the growing use of telepathology, pathologists are able to collaborate and offer professional opinions from a distance through remote diagnosis and consultation. Since telepathology reduces pathologists' exposure risk and allows for remote working, it has become more popular during the COVID-19 epidemic. For instance, pathologists can participate in interdisciplinary tumor boards, evaluate and discuss cases with colleagues virtually, or offer consults to underserved areas or regions lacking in pathology knowledge.
Artificial Intelligence and Machine Learning Integration: A noteworthy trend is the incorporation of AI and machine learning algorithms into digital pathology systems. Pathologists can benefit from AI's assistance with activities including automated tissue recognition, anomaly detection, biomarker quantification, and disease outcome prediction. With the use of these technologies, pathology diagnosis could become more effective, accurate, and repeatable. AI algorithms, for example, can assist in the automatic identification of particular features in histopathology pictures or the detection and classification of cancer cells.