Artificial Intelligence In Oncology Market Evolution 2025-2034: Industry Growth Projections & Market Size Insights

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.

How are market drivers shaping the future growth trajectory of the artificial intelligence in oncology industry?

The rising incidence of cancer cases is expected to propel the growth of the AI in oncology market going forward. Cancer is a complex group of diseases characterized by the uncontrolled growth and division of abnormal cells in the body. The integration of AI into oncology has the potential to revolutionize cancer care by making it more precise, personalized, and efficient. For instance, in 2023, according to a report by the American Cancer Society Inc., a US-based voluntary health organization, the estimated number of new cancer cases increased from 1.8 million to 1.9 million. Therefore, the rising incidence of cancer cases is driving the growth of the AI in oncology market.

Artificial Intelligence In Oncology Market Driver: Rising Adoption Of Cloud-Based Applications And Services By Pharmaceutical Companies

The rising adoption of cloud-based applications and services by pharmaceutical companies will contribute to the growth of AI in the oncology market going forward. The adoption of cloud-based applications and services in oncology has been steadily increasing due to their numerous benefits. Cloud computing enables researchers to access and analyze large-scale data, including genomics, proteomics, metabolomics, transcriptomics, and clinical and epidemiological data. This has proven particularly useful in accelerating cancer research for precision medicine. For instance, in June 2024, according to AAG IT Services, a UK-based non-government organization, in 2022, 89% of organizations surveyed used multi-cloud solutions for their storage and workloads. Only 9% utilized a single public cloud, with 2% relying on a single private cloud. Therefore, pharmaceutical companies’ increasing adoption of cloud-based applications and services will drive artificial intelligence in oncology market.

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What is the estimated market size of the artificial intelligence in oncology sector by 2029, based on current forecasts?

The artificial intelligence in oncology market size has grown exponentially in recent years. It will grow from $1.78 billion in 2024 to $2.36 billion in 2025 at a compound annual growth rate (CAGR) of 32.4%. The growth in the historic period can be attributed to rising cancer incidence, data proliferation in healthcare, clinical trial optimization, demand for personalized medicine, efficiency in radiology and pathology.

The artificial intelligence in oncology market size is expected to see exponential growth in the next few years. It will grow to $7.6 billion in 2029 at a compound annual growth rate (CAGR) of 33.9%. The growth in the forecast period can be attributed to integration with electronic health records (EHR), expanded applications in treatment decision support, patient engagement and education, regulatory support, and standardization. Major trends in the forecast period include integration of natural language processing (NLP) in healthcare, utilization of ai in biomarker discovery, focus on explainable ai for clinical adoption, integration of ai in population health management, collaborations between ai developers and healthcare providers, advancements in predictive analytics.

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#Who are the top players in the artificial intelligence in oncology market?

Major companies operating in the artificial intelligence in oncology market report are Azra AI, IBM Corporation, Siemens Healthcare GmbH, Intel Corporation, GE HealthCare, NVIDIA Corporation, Digital Diagnostics Inc., ConcertAI Inc., PathAI Inc., Median Technologies SA, Kheiron Medical Technologies Ltd., Hampton Research Inc., Tempus Labs Inc., Paige AI Inc., Prognos Health Inc., Enlitic, Inspirata Inc., Berg LLC, Proscia Inc., Prognos Health Inc., Deep 6 AI Inc., Ibex Medical Analytics, Nanox Imaging Ltd., Zebra Medical Vision, Globavir Biosciences Inc.

#What are the major trends in the artificial intelligence in oncology market?

Major companies operating in the AI in the oncology market are focusing on developing innovative software, such as cloud-based software, to enhance their efficacy and provide improved solutions. Cloud-based software plays a crucial role in AI applications in oncology by providing a scalable, flexible, and accessible platform for processing and analyzing large volumes of medical data. For instance, in March 2023, Illumina Inc., a US-based biotechnology company, launched Connected Insights, a new cloud-based software enabling tertiary analysis for oncology applications. With the help of the integration of external knowledge bases, Connected Insights streamlines the interpretation and reporting of results from various assay types, allowing labs to expand their usage of NGS (Next-Generation Sequencing) and speed up the turnaround time for clinical reporting.

Which geography holds the highest artificial intelligence in oncology market share?

North America was the largest region in the AI in oncology market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence in oncology market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

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How do different segments contribute to the overall expansion of the artificial intelligence in oncology market?

The artificial intelligence in oncology market covered in this report is segmented –

1) By Component: Software Solutions, Hardware, Services

2) By Treatment Type: Chemotherapy, Radiotherapy, Immunotherapy, Other Treatment Types

3) By Cancer Type: Breast Cancer, Lung Cancer, Prostate Cancer, Colorectal Cancer, Brain Tumor, Other Cancer Types

4) By Application: Cancer Detection, Drug Discovery, Drug Development, Other Applications

5) By End-Users: Hospitals, Diagnostic Centers, Pharmaceutical Companies, Research Institutes, Other End Users

Subsegments:

1) By Software Solutions: Diagnostic Software, Treatment Planning Software, Patient Management Software, Data Analytics Platforms

2) By Hardware: AI-Enabled Imaging Devices, High-Performance Computing Systems, Wearable Health Monitors

3) By Services: Consulting Services, Integration Services, Maintenance And Support Services

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What defines the structure and scope of the artificial intelligence in oncology market?

Artificial intelligence in oncology refers to applying artificial intelligence (AI) technologies and techniques in cancer diagnosis, treatment, research, and patient care. The goal of AI in oncology is to improve outcomes for cancer patients by leveraging computational methods to identify patterns, predict outcomes, and support evidence-based decision-making across the continuum of cancer care.

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