Market revenue in 2023 | USD 8.4 million |
Market revenue in 2030 | USD 51.2 million |
Growth rate | 29.4% (CAGR from 2023 to 2030) |
Largest segment | Software |
Fastest growing segment | Services |
Historical data | 2018 - 2022 |
Base year | 2023 |
Forecast period | 2024 - 2030 |
Quantitative units | Revenue in USD million |
Market segmentation | Software, Hardware, Services |
Key market players worldwide | Microsoft Corp, Roche Holding AG, Quest Diagnostics Inc, Medial EarlySign, CancerCenter.AI, Therapixel, Tempus, Kheiron, SkinVision |
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The databook is designed to serve as a comprehensive guide to navigating this sector. The databook focuses on market statistics denoted in the form of revenue and y-o-y growth and CAGR across the globe and regions. A detailed competitive and opportunity analyses related to artificial intelligence in cancer diagnostics market will help companies and investors design strategic landscapes.
Software was the largest segment with a revenue share of 48.81% in 2023. Horizon Databook has segmented the Japan artificial intelligence in cancer diagnostics market based on software, hardware, services covering the revenue growth of each sub-segment from 2018 to 2030.
Japan is embracing AI in many forms and the government is expected to invest around USD 100 billion in the coming 5 years to construct hospitals that are backed by AI. According to Healthcare Asia, the Japanese government is expected to establish 10 AI-based hospitals in the coming years, which will help address concerns such as a shortage of medical personnel and rising medical expenses.
Thus, the government is making significant investments in AI technologies, as it is considered an essential driver of future competitiveness. Growing awareness about advanced technologies is expected to boost usage of AI in diagnostics.
For instance, in July 2018, two Japanese research institutes succeeded in incorporating AI solutions for diagnosing early-stage stomach cancer at a high precision rate of 95% for healthy tissues and 80% for cancer tissues. According to National Cancer Centre and Riken, AI solutions take 0.004 seconds to analyze whether an obtained endoscopic image contains normal stomach tissue or early-stage cancer tissue.
Horizon Databook provides a detailed overview of country-level data and insights on the Japan artificial intelligence in cancer diagnostics market , including forecasts for subscribers. This country databook contains high-level insights into Japan artificial intelligence in cancer diagnostics market from 2018 to 2030, including revenue numbers, major trends, and company profiles.
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