The primary reason for using AI in microscopy techniques is to eliminate or replace the usage of fluorescence dyes and markers on live cells that are examined under a microscope. With the increasing prevalence of infectious disease, cancer, and other conditions that necessitate routine blood morphology examination, the market for AI in microscopy will grow. Furthermore, the usage of AI-based software has helped users in resolving challenges such as dust on the sample, low contrast, imperfect image (resulting in a human-based error in analysis), and condensation artifacts, among others. AI-based microscopes have also been improved or launched in the market. Several companies are employing AI-based technologies such as RPA (Robotic Process Automation) to improve process workflows and automate repetitive jobs. AI-based solutions are also being combined with IoT (Internet of Things) to give reliable outcomes for a variety of commercial methods. Artificial intelligence is becoming increasingly important in big data because it enables the extraction of high-level and sophisticated abstractions via a hierarchical learning process. The demand for mining and extracting important patterns from large amounts of data is driving the expansion of artificial intelligence in big data analytics. Robotics, computational super-resolution, optical microscopy, and artificial intelligence are all used in this sort of microscope. One of the features provided by this technology is sample defect detection. Also, the market will expand significantly due to the increasing need for enhanced live-cell imaging, cloud sharing, efficient lab workflow, and increased research activities in drug testing and toxicity. However, the high cost of advanced microscopes may restrict the market’s growth. The use of artificial intelligence in microscopy is a new trend that is likely to boost the growth of the microscopy market over the forecast period.
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List of Prominent Players in the Artificial Intelligence Microscopy Market:
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Increased product approvals, investment in research, and strategic expansions by firms operating in the microscopy devices market to strengthen their regional footprint are major drivers helping the market’s growth over the forecast period. The demand for mining and extracting important patterns from large amounts of data is driving the expansion of artificial intelligence in big data analytics.
Furthermore, with the growing demand for enhanced live-cell imaging, cloud sharing, efficient lab workflow, and increased research activities in drug testing and toxicity, the market will expand significantly.
A major challenge is a lack of efficient storage and poor information retrieval as vast amounts of data are collected and made available across multiple domains. These challenges are overcome by employing semantic indexing to enhance comprehension and knowledge discovery. However, the high cost of advanced microscopes may restrict the market’s growth. However, the market has shown a fall in sales due to supply chain disruptions.
The North America artificial intelligence microscopy market is predicted to soon hold a significant revenue market share and expand at a rapid CAGR. The region’s Artificial Intelligence Microscopy market is anticipated to increase as a result of factors such as rising population, rapid urbanisation, and industrialization, as well as rising R&D activity by major companies. In addition, Europe held a substantial market share because of its advanced economy and rising product uptake. This is because the market’s top players in artificial intelligence microscopy have adopted new tactics. The possibility for the growth of the worldwide Artificial Intelligence Microscopy market is further provided by the presence of key industry players and growing cooperation among major players for market penetration in the area.
- In April 2019, Zeiss acquired GOM GmbH (Germany), a leading provider of hardware and software for automated 3D coordinate measuring technology.
- In July 2021, Carl Zeiss introduced the ZEISS DeepRecon Pro and ZEISS PhaseEvolve reconstruction technologies in the ZEISS Xradia 3D X-ray platforms. These technologies will use AI to improve data collection and analysis, which, in turn, will speed up decision-making.
- In June 2021, Danaher Corporation launched the Leica Nano workflow, a new live-cell correlative light and electron microscopy (CLEM) workflow solution designed to increase experimental success rates, improve reproducibility, and simplify light and electron microscopy (EM) integration.
Segmentation of Artificial Intelligence Microscopy Market-
By Imaging Modalities
- Optical Microscopy
- Electron Microscopy
- Scanning Probe Microscopy
- Clinical Pathology
- Neuron Morphology
- Cell Biology
- Pharmacology & Toxicology
By Product Type
- AI-Enabled Cloud Software
- AI-Enabled Microscopes
- Hospital Laboratories
- Independent & Private Laboratories
- Academic Research Labs
- Pharmaceutical & Biotechnology Laboratories
- Contract Research Organizations”
- The US
- The UK
- Rest of Europe
- South Korea
- South East Asia
- Rest of Asia Pacific
- Rest of Latin America
Middle East & Africa-
- GCC Countries
- South Africa
- Rest of Middle East and Africa
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