The Business Research Company’s report on the Amusement Parks Global Market Report 2025 Market provides insights into the global market size, growth rate, regional distribution, competitive landscape, key segments, emerging trends, and strategic opportunities.
What are the primary drivers fueling the growth of the ai in oncology for analytical solutions market in recent years?
The rising prevalence of cancer is expected to propel the growth of AI in oncology for the analytical solutions market going forward. Cancer refers to a group of diseases characterized by the uncontrolled growth and spread of abnormal cells. AI in oncology for analytical solutions is used in cancer care to provide personalized treatment, early detection, and improved patient outcomes due to its ability to process large amounts of complex data quickly and efficiently. For instance, in May 2024, according to the National Cancer Institute, a US-based Government agency, in 2024, approximately 2 million new cancer cases are expected to be diagnosed in the US, with over 611,000 deaths projected. By 2040, new cancer cases are estimated to rise to 29.9 million globally, with cancer-related deaths increasing to 15.3 million. Therefore, the rising prevalence of cancer is driving the AI in oncology for analytical solutions market.
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What is the projected market size of the ai in oncology for analytical solutions industry, and how is it expected to grow?
The AI in oncology for analytical solutions market size has grown exponentially in recent years. It will grow from $1.07 billion in 2024 to $1.44 billion in 2025 at a compound annual growth rate (CAGR) of 34.4%. The growth in the historic period can be attributed to increasing healthcare data availability, rising awareness and acceptance, advancements in machine learning algorithms, government initiatives and funding, clinical acceptance.
The AI in oncology for analytical solutions market size is expected to see exponential growth in the next few years. It will grow to $4.66 billion in 2029 at a compound annual growth rate (CAGR) of 34.1%. The growth in the forecast period can be attributed to rising demand for personalized medicine, increasing healthcare awareness, integration of multi-omics data, regulatory refinement, telemedicine and remote diagnostics. Major trends in the forecast period include collaborations and partnerships, continuous technological advancements, industry collaborations, research and development initiatives, advancements in technology.
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Who are the key players driving competition in the ai in oncology for analytical solutions market?
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
What key trends are expected to drive the ai in mental health market during the forecast period?
Major companies operating in the AI in oncology for analytical solutions market are focusing on the development of AI advancements, such as new real-world data platforms to accelerate cancer research and advance generative AI models in oncology. A real-world data platform refers to a system that integrates and manages observational data from various sources outside of typical clinical research settings, such as electronic health records, health insurance claims, patient surveys, and disease registries. For instance, in October 2023, the Central Ohio Transit Authority, a US-based company, launched Vista, a new real-world data platform to speed up cancer research and enhance generative AI models in oncology. This platform intends to provide a more complete and uniform approach to managing cancer research data by merging several databases, including the data portal database and the genomic database. Additionally, Vista is expected to facilitate data sharing, improve data quality, and support various applications in the field of oncology and other areas of healthcare.
Which key geographies are driving the growth of 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.
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What are the key segments driving growth in 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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How is the ai in oncology for analytical solutions market defined, and what are its core characteristics?
AI in oncology for analytical solutions refers to the use of artificial intelligence (AI) technology in the field of oncology to develop advanced analytical solutions for cancer research, diagnosis, and treatment. It helps healthcare professionals make data-driven decisions, improve diagnostic accuracy, and tailor treatment plans.
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