Artificial intelligence (AI) is an area of computer science that emphasizes on the creation of intelligent computers to perform tasks like humans. Artificial intelligence offers activities such as speech recognition, learning, planning, problem solving, and others. It can also be applied in the field of drug screening. Drug screening is a process of chemical analysis designed to test patients for drug abuse. It is a vital process as drug abuse is a serious public health problem that affects brain and behavior of an individual. This process is also employed in workplaces to avoid hiring of drug addict candidates and to provide a safe workplace to other employees. Artificial intelligence has made it possible to screen drug abuse candidates in shorter period, moreover it also plays a great role in treatment of patients with drug addiction.
Increase in alcohol consumption worldwide, rise in use of narcotics and illicit drugs across the globe, stringent government laws for drug screening, rise in adoption of AI systems, and technological advancements in the field of drug screening are anticipated to drive the demand for the adoption of artificial intelligence, which in turn is expected to boost the growth of the artificial intelligence in drug screening market. In addition, other factors expected to drive the growth of the market include the precision in results delivered by AI in drug screening and surge in healthcare expenditure along with the economic development across the globe. In addition, increase in governmental funding to control drug trafficking provides lucrative opportunities for the growth of the market. Conversely, an imprecise regulatory scenario and reluctance among healthcare professionals to adopt AI-based technologies are expected to hamper the artificial intelligence in drug screening market growth.
The global artificial intelligence in drug screening market is segmented across four main categoriesproduct type, sample type, end user, and region. Based on product type, the market is divided into immunoassay analyzers, breathalyzer, rapid test device, assay kits, and chromatography instruments. On the basis of sample type, the market is classified into urine, hair, oral, and others. Based on end user, the market is segmented into workplace, criminal justice, and hospital. On the basis of region, the market is analyzed across North America (U.S., Canada, and Mexico), Europe (Germany, France, the UK, Italy, Spain, and rest of Europe), Asia-Pacific (China, Japan, Australia, India, and rest of Asia-Pacific), and LAMEA (Latin America, Middle East, and Africa).
Key Benefits For Stakeholders:
- The study provides an in-depth analysis of the market along with the current trends and future estimations to elucidate the imminent investment pockets.
- It offers a quantitative analysis which is expected to enable the stakeholders to capitalize on the prevailing market opportunities.
- The profiles and growth strategies of the key players are thoroughly analyzed to understand the competitive outlook of the market.
- A comprehensive analysis of all the geographical regions is provided to determine the existing opportunities.
Artificial Intelligence in Drug Screening Market Report Highlights
| Aspects | Details |
 By Product Type |
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 By Sample type |
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 By End User |
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 By Region |
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 Key Market Players | Alere, Inc., Abbott Laboratories, Hoffmann-La Roche AG, Thermo Fisher Scientific, Inc., Quest Diagnostics Incorporated, Biorad Laboratories, Inc., Express Diagnostics International Inc., Drgerwerk AG & Co. KGAA, Danaher Corporation, Siemens AG |
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