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Advancements In AI For Oncology Focus On Real-World Data Platforms Trend: A Crucial Influence on the AI In Oncology For Analytical Solutions Market's Transformation in 2025
AI In Oncology For Analytical Solutions Market Size
The increasing instances of cancer are anticipated to boost the expansion of AI in oncology for the analytical solutions market. Cancer is a term that encompasses a series of illnesses marked by the unchecked multiplication and dispersion of abnormal cells. AI in oncology for analytical solutions plays a vital role in cancer care by facilitating personalized treatment, early detection, and enhanced patient outcomes thanks to its capacity to swiftly and effectively manage large volumes of intricate data. For example, the National Cancer Institute, a US government agency, projected in May 2024 that around 2 million new cancer diagnoses are anticipated in the US in 2024, with over 611,000 estimated deaths. By the year 2040, the number of new cancer cases worldwide is predicted to escalate to 29.9 million, with cancer-related deaths climbing to 15.3 million. Consequently, the escalating prevalence of cancer is stimulating the growth of the AI in oncology for analytical solutions market.
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What Is the projected market size and growth rate for the ai in oncology for analytical solutions market?
In recent times, there has been a significant escalation in the market size of AI in oncology for analytical solutions. The market is projected to expand from $1.07 billion in 2024 to $1.44 billion in 2025, demonstrating a compound annual growth rate (CAGR) of 34.4%. Factors contributing to the growth during the historic period include an increase in accessible healthcare data, heightened awareness and acceptance, advancements in machine learning algorithms, government support and funding, and clinical acceptance.
The market for AI in oncology for analytical solutions is forecasted to undergo a dramatic increase in size over the coming years. By 2029, it is projected to have grown to a worth of $4.66 billion, with an annual compound growth rate (CAGR) of 34.1%. This surge in growth during the forecast period can be linked to factors such as a growing demand for customized medicine, increased healthcare awareness, the merging of multi-omics data, regulatory enhancements, as well as telemedicine and remote diagnostics. The period is also expected to witness key trends including collaborations and partnerships, ongoing technological improvements, industry partnerships, research and development efforts, and technological advancements.
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What new trends are reshaping the ai in oncology for analytical solutions market and its opportunities?
Leading businesses active in the AI in oncology for analytical solutions sector are concentrating on AI innovation, specifically in the creation of new real-world data platforms, to expedite cancer studies and further develop generative AI models in oncology. Real-world data platforms refer to systems which compile and supervise observational data from numerous external sources other than typical clinical research environments, including electronic health records, health insurance claims, patient feedback, and disease registers. For example, the Central Ohio Transit Authority, an American company, introduced a new real-world data platform called Vista in October 2023 for faster cancer research and the enhancement of generative AI models in oncology. Vista aims to offer a comprehensive and consistent method for handling cancer research data by amalgamating various databases, including the data portal database and genomic database. Furthermore, Vista is projected to ease data exchange, enhance data quality, and aid various applications in oncology and other healthcare sectors.
What major market segments define the scope and growth of the ai in oncology for analytical solutions market?
The AI in oncology for analytical solutions market covered in this report is segmented -
1) By Component: Data Licensing Services, Software Solutions, Analytics and Other Services
2) By Treatment Type: Chemotherapy, Radiotherapy, Immunotherapy, Other Treatments
3) By Cancer Type: Breast Cancer, Lung Cancer, Prostate Cancer, Colorectal Cancer, Brain Tumor, Kidney Cancer, Non-Hodgkin Lymphoma, Bladder Cancer
Subsegments:
1) By Data Licensing Services: Oncology Data Licensing, Genomic Data Licensing
2) By Software Solutions: AI-Based Imaging Software, Diagnostic Software, Clinical Decision Support Software
3) By Analytics And Other Services: Predictive Analytics Services, AI Training And Support Services, Data Analysis Services
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Which region dominates the ai in oncology for analytical solutions market?
North America was the largest region in the AI In oncology for analytical solutions market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the ai in oncology for analytical solutions market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
Which key market leaders are driving the ai in oncology for analytical solutions industry growth?
Major companies operating in the AI in oncology for analytical solutions market report are IBM Watson Health, NVIDIA Corporation, Siemens Healthineers, GE Healthcare, Tempus, DeepMind Health, Paige.AI, PathAI, Aidoc, Nucleai, HeartFlow, OWKIN, SOPHiA Genetics, Imagen Technologies, Butterfly Network, Atomwise, Enlitic, Inspirata, 3Scan, Zebra Medical Vision, Ibex Medical Analytics, Vuno Inc., Proscia, Google Health, Huiying Medical
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What Is Covered In The AI In Oncology For Analytical Solutions Global Market Report?
• Market Size Forecast: Examine the ai in oncology for analytical solutions market size across key regions, countries, product categories, and applications.
• Segmentation Insights: Identify and classify subsegments within the ai in oncology for analytical solutions market for a structured understanding.
• Key Players Overview: Analyze major players in the ai in oncology for analytical solutions market, including their market value, share, and competitive positioning.
• Growth Trends Exploration: Assess individual growth patterns and future opportunities in the ai in oncology for analytical solutions market.
• Segment Contributions: Evaluate how different segments drive overall growth in the ai in oncology for analytical solutions market.
• Growth Factors: Highlight key drivers and opportunities influencing the expansion of the ai in oncology for analytical solutions market.
• Industry Challenges: Identify potential risks and obstacles affecting the ai in oncology for analytical solutions market.
• Competitive Landscape: Review strategic developments in the ai in oncology for analytical solutions market, including expansions, agreements, and new product launches.
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