Artificial Intelligence in IVD Market Share, Size, Demand, Key Players by Forecast 2029
Artificial intelligence (AI) is being increasingly used in in vitro diagnostics (IVD) to improve the accuracy and speed of diagnostic tests. IVD refers to tests performed on biological samples, such as blood or urine, in a laboratory setting.
The use of AI in IVD is expected to grow at a compound annual growth rate (CAGR) of around 30% from 2023 to 2028. The increasing demand for accurate and fast diagnostic tests, the growth of precision medicine, and the need for cost-effective healthcare solutions are some of the key factors driving the growth of this market.
The AI in IVD market offers a range of features and capabilities, including image analysis, natural language processing, and machine learning. These features enable diagnostic tests to be performed faster and more accurately, and can also help to identify patterns and trends that may not be detectable by human analysis.
In addition to providing value to medical laboratories and healthcare providers, AI in IVD is also of interest to pharmaceutical companies and research institutions. These organizations can use AI in IVD to develop new drugs and therapies, and to identify new biomarkers and targets for disease diagnosis and treatment.
Major players in the AI in IVD market include companies such as
- Biofourmis Singapore Pte. Ltd.
- Freenome
- IBM Watson Health
- Maxwell Plus
- Nikon Instruments
- Paragon Genomics
- Predicine
- PredictImmune
- Qiagen
- Rady Children’s Institute for Genomic Medicine
- Reliant Immune Diagnostics
- Siemens Healthineers
- Sysmex
- Viome
Overall, the AI in IVD market is expected to continue its growth trajectory as the demand for accurate and fast diagnostic tests continues to rise. As the market for AI in IVD continues to evolve, we can expect to see further innovation in the field, including the development of new technologies and capabilities to improve the accuracy and reliability of diagnostic tests.
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Market Segment by Regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia and Italy)
Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
South America (Brazil, Argentina, Colombia etc.)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
Market Dynamics
The various factors that can boost the Artificial Intelligence in IVD Market growth in the current scenario as well as in the coming years have been discussed in detail. The interplay of demand and supply forces in this market along with the factors affecting them have been analyzed. The internal and external factors affecting the market in terms of growth have been studied by this market study. The pricing policies used and the effect they have on the consumption behaviour have been studied for various regions of the Artificial Intelligence in IVD Market. The study conducted looks at the upstream as well as the downstream aspects of the market.
Research objectives:
To study and analyze the global Artificial Intelligence in IVD Market size by key regions/countries, product type and application, history data from 2017 to 2022, and forecast to 2029.
To understand the structure of Artificial Intelligence in IVD Market by identifying its various sub segments.
Focuses on the key global Artificial Intelligence in IVD players, to define, describe and analyze the value, market share, market competition landscape, SWOT analysis and development plans in next few years.
To analyze the Artificial Intelligence in IVD with respect to individual growth trends, future prospects, and their contribution to the total market.
To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
To project the size of Artificial Intelligence in IVD submarkets, with respect to key regions (along with their respective key countries).
To analyze competitive developments such as expansions, agreements, new product launches and acquisitions in the market.
To strategically profile the key players and comprehensively analyze their growth strategies.
The report lists the major players in the regions and their respective market share on the basis of global revenue. It also explains their strategic moves in the past few years, investments in product innovation, and changes in leadership to stay ahead in the competition. This will give the reader an edge over others as a well-informed decision can be made looking at the holistic picture of the market.
Table of Contents: Artificial Intelligence in IVD Market
Chapter 1: Overview of Artificial Intelligence in IVD Market
Chapter 2: Global Market Status and Forecast by Regions
Chapter 3: Global Market Status and Forecast by Types
Chapter 4: Global Market Status and Forecast by Downstream Industry
Chapter 5: Market Driving Factor Analysis
Chapter 6: Market Competition Status by Major Manufacturers
Chapter 7: Major Manufacturers Introduction and Market Data
Chapter 8: Upstream and Downstream Market Analysis
Chapter 9: Cost and Gross Margin Analysis
Chapter 10: Marketing Status Analysis
Chapter 11: Market Report Conclusion
Chapter 12: Research Methodology and Reference
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