$6.20 Billion Laboratory Automation Industry Outlook, 2024 - IMARCGroup.com
Bibliographic record
Abstract
The global laboratory automation market has experienced a moderate growth over the past several years. This can be attributed to the numerous government initiatives coupled with advancements in automated systems.\n\nThe latest report by IMARC Group, entitled “Laboratory Automation Market Report: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2019-2024”, finds that the global laboratory automation market share reached a value of US$ 4.55 Billion in 2018. Laboratory automation refers to the utilization of automated systems so as to increase the efficiency and effectiveness of scientific research in laboratories. These systems are generally an integration of robotics, computer hardware and software, conveyor systems, machine vision, etc. that aid in achieving standardized and real-time analysis as well as improving performance by eliminating human errors. Nowadays, the most advanced lab automation systems include immunoassay, hematology, hemostasis and chemistry testing along with pre- and post-analytical processing. On account of rising competition and demand for higher efficacy in both research and clinical labs, the demand for laboratory automation systems has increased in the recent years.\n\nRequest Free Sample Report: https://www.imarcgroup.com/laboratory-automation-market/requestsample\n\nGlobal Laboratory Automation Market Trends:\n\nAutomated laboratory software has improved the productivity of testing solutions, enabling the lab teams to view history and track sample details anywhere at any time. Apart from this, several manufacturers have designed automated systems and software to improve workflow with decreased costs per test, reduced turnaround time, fewer errors and increased testing capacity. Moreover, the development of bench-top and standalone automated systems has facilitated the introduction of automation in smaller labs. Further, the governments of various countries are taking initiatives to enhance their laboratory research, in turn, creating a huge demand for laboratory automation. For instance, Genomics Research and Development Initiative (GRDI) by the government of Canada utilizes automated laboratory systems to increase test speed and minimize cost inputs. Owing to these factors, the global laboratory automation system market is projected to reach a value of US$ 6.20 Billion by 2024, exhibiting a CAGR of around 5.4% during 2019-2024.\n\nGlobal Laboratory Automation Market Summary:\n\n\n\tOn the basis of type, the market has been segmented into modular automation and whole lab automation. Currently, modular automation is the most popular segment in the global laboratory automation market.\n\tBased on equipment and software type, the market has been segregated into automated clinical and drug discovery laboratory systems. Amongst these, automated clinical laboratory systems dominate the market, accounting for the largest market share.\n\tOn the basis of end-user, biotechnology and pharmaceutical companies represent the biggest end-user segment in the global laboratory automation market. These companies are followed by hospitals and diagnostic laboratories, and research and academic institutes.\n\tRegion-wise, North America is the leading market, holding the majority of the global share. This can be accredited to the rising number of research laboratories in the region which require an efficient and cost-effective solution for sample analysis. Other major regions include Asia Pacific, Europe, Latin America, and Middle East and Africa.\n\tThe global laboratory automation market has also been examined with some of the major players being Danaher, PerkinElmer, Tecan Group, Thermo Fisher, Abbott Diagnostics, Agilent Technologies, Aurora Biomed, Becton, Dickinson and Company, BioMérieux, Biotek Instruments, Brooks Automation, Cerner, Eppendorf, Hamilton Storage Technologies, Lab Vantage Solutions, Labware, Olympus, Qiagen, Roche Holding and Siemens Healthcare.\n\n\nBrowse Full Report with TOC & List of Figure: https://www.imarcgroup.com/laboratory-automation-market\n\nRelated Reports by IMARC Group\n\nGlobal Biometrics Technology Market Share | Industry Report 2019-2024\n\nAbout Us\n\nIMARC Group is a leading market research company that offers management strategy and market research worldwide. We partner with clients in all sectors and regions to identify their highest-value opportunities, address their most critical challenges, and transform their businesses.\n\nIMARC’s information products include major market, scientific, economic and technological developments for business leaders in pharmaceutical, industrial, and high technology organizations. Market forecasts and industry analysis for biotechnology, advanced materials, pharmaceuticals, food and beverage, travel and tourism, nanotechnology and novel processing methods are at the top of the company’s expertise.\n\nContact US\n\nIMARC Group\nEmail: Sales@imarcgroup.com\nTel No:(D) +91 120 433 0800 | www.imarcgroup.com\nAmericas:- +1 631 791 1145 | Africa and Europe :- +44-702-409-7331 | Asia: +91-120-433-0800, +91-120-433-0800\nLinkedin: https://www.linkedin.com/company/imarc-group\n\n
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.684 | 0.734 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".