Global Causal AI Market Size, Study, By Product, Application, And Forecast To 2030
Bharat Book Bureau Provides the Trending Market Research Report on “Causal AI Market by Offering (Platforms (Deployment (Cloud and On-premises)) and Services), Vertical (Healthcare & Life Sciences, BFSI, Retail & eCommerce, Transportation & Logistics, Manufacturing) and Region - Global Forecast to 2030” under the Services Market Research Report Category. The report offers a collection of superior Market research, Market analysis, competitive intelligence, and Market reports.
The Causal AI Market is projected to grow from USD 8010 thousand in 2023 to USD 119,500 thousand by 2030, at a CAGR of 47.1% during the forecast period. Causal AI is the only technology that can reason and make choices such as humans do. It has the potential to revolutionize enterprise AI, making it more transparent, fair, and safe. The increasing demand for accurate predictions and decision-making is expected to drive the market.
The Healthcare and Lifesciences vertical is projected to be the largest market during the forecast period
The healthcare and life sciences industry is one of the fastest-growing sectors in the world, and the adoption of causal AI technology is on the rise. Causal AI and Causal ML is used in healthcare and life sciences for drug discovery, patient diagnosis, treatment, personalized medicine, and more.
The high adoption of advanced technologies in the healthcare sector, the presence of several key players, and the growing demand for personalized medicine are some of the factors driving the growth of the market in North America. Europe is also expected to grow significantly, driven by the increasing adoption of AI technology and the growing demand for innovative healthcare solutions. The healthcare and life sciences industry is witnessing a surge in investments and acquisitions related to causal AI technology.
Among deployment, on-premises segment is registered to grow at the highest CAGR during the forecast period
On-premises deployment of causal AI platforms involves installing the software directly onto the organization's servers or hardware infrastructure. This deployment model provides maximum control over the data and the platform, as all data is stored within the organization's own network. On-premises deployment may be preferred by organizations with strict data privacy or regulatory compliance requirements, as it allows them to maintain complete control over their data. On-premises deployment also offers the potential for greater customization and integration with existing IT infrastructure.
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Last Update : May 31, 2023 3:04 AM
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