Clinical Diagnosis Automation Market Value Projected to Expand by 2024

Posted by Aman Jaiswar on June 4th, 2019

Clinical diagnosis automation is a part of the laboratory automation process which is a multi-disciplinary strategy for the purpose of capitalizing, optimizing, developing, and researching on the technologies used in clinical diagnosis. This, in turn, helps in enabling improved and new processes. The clinical diagnosis automation professionals are medical engineers, scientists, government researchers, commercial researchers, and academics. These professionals develop advanced and new technologies in order to improve productivity, enhance the data quality of the experiments, decrease the lab process cycle time, and enable experimentation.

The most famous application of clinical diagnosis automation and laboratory automation is laboratory robotics. This field comprises many different types of automated instruments and devices such as autosamplers, software algorithms, and various methodologies. These instruments and algorithms are employed to enhance the effectiveness and efficiency of clinical diagnosis in medical laboratories. The application of automation technology in clinical diagnosis is required at present to remain competitive in the market and achieve constant progress. Without automation, laboratories devoted to tasks such as biorepositories, diagnostics, analytical and automated clinical testing, combinatorial chemistry, and high-throughput screening would not have been successfully completed.

The most common software and equipment found in the global Clinical Diagnosis Automation Market are informatics and software, automated storage, retrieval systems, standalone robots, microplate readers, and automated liquid handling equipment. Diverse clinical diagnosis automation types include modular automation and total lab automation. The testing phases are collected in the segment of total laboratory automation by which all the modules are physically linked by a track system. Total lab automation is appropriate for large size hospitals, however, it leads to a rise in the total cost of automation and thus hence has low market penetration.

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The publication is a complete analysis of the growth trajectory in terms of the historical, current, and future prospects of the global clinical diagnosis automation market. It offers an assessment of the elements that are expected to impact the growth of the market and the principal trends have also been mentioned in the study. The report also offers a diverse outlook of the competitive scenario of the market through the value chain and Porter’s five forces analysis. The report mentions the research and development projects, mergers and acquisitions, details on collaborations and licensing.

The primary factors bolstering the growth of the global clinical diagnosis automation market are rising number of suppliers in the global diagnostic market, low rates of reimbursement, and the rising number of diagnosis across the global. As players are striving to gain an established position in the market and have a competitive advantage as well, they are aiming at increasing the productivity and efficiency of the laboratories and curtailing on the total cost. In order to achieve, these, automation has proved to be a potential solution. Currently, the clinical diagnosis sector is on the verge of exploring an innovative automation process. All the phases involved in clinical diagnosis such as sample collection and sample processing are undergoing a huge change and are thus being automated. Clinical analyzers are being used to automate the clinical processes. These analyzers are traceable, fast, and can perform tasks repeatedly. Thus, they can provide patients with reliable and precise results.

Based on product type, the automated analyzers segment led the global clinical diagnosis automation market, whereas the stand-alone automation segment is likely to emerge as the leading segment in terms of growth. Total lab automation is being employed in big hospitals only owing to its inflexibility and problems related to communication.