The value of the AI in medical diagnostics market stood at USD 1,297.6 million in 2023, and this number is projected to reach USD 5,541.7 million by 2030, advancing at a CAGR of 23.1% during the projection period.
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This is mainly because of the growing government steps for the acceptance of AI-based tech, the increasing use of AI solutions by radiotherapists to reduce workload, the obtainability of funds to start AI-based startups, the arrival of big data, and the rising cost of cross-market partnerships & collaborations.
The acceptance of big data is being influenced by the increasing digitalization and the growth of enhanced information systems in the medicinal market, producing huge and complex data at several stages of care delivery procedures.
Big data in the medicinal diagnostics area includes information generated from clickstream and social media interactions; readings from therapeutic instruments like billing records, ECG systems, sensors, X-rays, biometric data; and other healthcare claims, among other sources.
In 2023, software emerged as the largest component category in the industry, with approximately USD 0.5 billion. and it is also projected to hold its leading position during the projection period. This is mainly because of the rising need for AI solutions based on software in the medicinal diagnostics industry for providing precise results in a short span of time and the increasing count of IT firms providing the same.
The North American region dominates AI in the medical diagnostics industry, with a revenue share of 45% in 2023. This is mainly because of the high research and development investments, the rising acceptance of technically progressive solutions, and the existence of global players and their hard work to come up with pioneering medical diagnostics technologies, in the continent.
Increasing use of machine algorithms and IT software to imitate human analysis and understand complex medical data, increasing government initiatives to adopt AI technologies, and increasing use of AI solutions by radiologists to reduce workload are major drivers of the market for AI in medical diagnostics.
