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人工智能在癌症诊断中的全球市场规模、份额和行业趋势分析报告:2022-2028 年最终用户、成分、癌症类型、地区的展望和预测Global AI In Cancer Diagnostics Market Size, Share & Industry Trends Analysis Report By End-user, By Component, By Cancer Type, By Regional Outlook and Forecast, 2022 - 2028 |
在预测期内,人工智能在癌症诊断领域的全球市场规模预计将以 28.6% 的复合年增长率增长,到 2028 年将达到 5.09 亿美元。
此外,这些算法不断更新,并通过接触新数据获得信息。 深度学习与机器学习和人工智能一起用于癌症检测。 它还利用模拟人脑如何收集、分析和响应来自全身的信号的人工神经网络。 NCI 校内研究计划的研究人员正在利用 AI 的全部力量来加强对前列腺癌和宫颈癌的癌症筛查。
15 年前,NCI 的医生开始使用 MRI 活检来帮助研究人员瞄准可能癌变的前列腺区域。 MRI 活检增强了前列腺癌专业人员的检测和治疗。 此外,人工智能不仅记录了临床医生的诊断技能,还让全国各地的诊所都可以使用算法来辅助临床诊断和决策。
COVID-19 影响分析
冠状病毒对癌症诊断领域的 AI 市场产生了积极影响。 人工智能和机器学习的引入有助于减轻医疗机构和临床设施的工作量。 随着该行业的发展,许多国际 IT 巨头已着手开发人工智能工具和软件来识别冠状病毒,然后帮助检测癌症症状。 由于冠状病毒患者导致医疗保健专业人员短缺,这将推动人工智能解决方案的采用,以提供更好的患者支持和结果。 诊断、善后护理和其他程序在大流行期间很难维持,因为它们非常耗时。
市场增长因素
医疗保健领域技术进步的增加
在检测癌症诊断方面采用技术和人工智能将推动医疗保健行业的发展。 人工工具包括对低成本诊断程序和快速检测数据生成的需求。 此外,医疗保健领域对癌症检测和筛查技术开发的需求预计将支持该行业的增长。 此外,用于加强医疗保健技术的政府支出正在推动新兴国家医疗保健行业的增长。
对早期癌症诊断的需求不断增长
人们对早期癌症诊断意识的提高正在推动 AI 在癌症诊断中的发展。 与医疗机构一起,越来越多的政府计划鼓励医护人员将 AI 技术整合到医院,以改善患者和提高治疗水平。 此外,技术的采用将帮助私人和非营利组织提供更好的医疗结果并降低治疗成本,从而增加人群的早期诊断。
市场製约因素
对人工智能在医疗领域的应用缺乏了解
除了人工智能係统和机器学习的知识和培训,管理庞大的数据集和数据库是深度学习技术的最大障碍。 然而,人工智能的使用也会带来数据洩露问题,因为它可以提供重要的个人数据,例如基因组序列。 限制增长的各种问题包括缺乏透明度、AI 算法偏差的风险、用于学习目的的数据以及临床环境中 AI 采用权威的新问题。 哲学问题是人工智能面临的最困难的问题之一。
最终用户视角
按终端用户划分,癌症诊断领域的 AI 市场分为医院、手术中心和医疗机构等。 2021 年,外科中心和医疗机构部门在癌症诊断的 AI 市场中占据了显着的收入份额。 人工智能的采用减少了误导性的阴性和阳性病例,并提供了更可靠的患者治疗结果。 随着医疗保健的发展,医学教育也在不断发展。 此外,通过实施 AI 和利用数据学习实现更好的发明来采用和实践医疗保健将促进行业增长和决策。
组件视角
基于组件,癌症诊断中的人工智能市场被细分为软件解决方案、硬件和服务。 软件解决方案部分在 2021 年的癌症诊断 AI 市场中获得了最高的收入份额。 这是因为许多大型竞争对手正在推出新的癌症诊断解决方案。 借助软件,医生可以高效、准确地识别癌症和肿瘤的微小尺寸。 此外,人工智能软件比人类诊断系统更准确、更可靠。 该软件平台提供高质量的分析和快速的结果,增加了医生的信心,提高了工作效率和人身安全。
癌症类型的前景
癌症诊断的人工智能市场根据癌症类型分为乳腺癌、肺癌、前列腺癌/结直肠癌、脑癌、皮肤癌/宫颈癌等。 2021 年,乳腺癌细分市场在癌症诊断的 AI 市场中获得了最大的收入份额。 因为乳腺中的细胞失控,乳腺癌的发病率越来越高。 乳腺癌取决于作为癌症出现的乳房中的哪些细胞被感染。 乳房由导管、小叶和结缔组织三部分组成。
区域展望
按地区划分,对北美、欧洲、亚太地区和 LAMEA 的癌症诊断市场中的 AI 进行了分析。 北美市场将在 2021 年占据癌症诊断 AI 市场的最大收入份额。 癌症患病率的增加以及现代医疗基础设施的可及性正在推动市场增长。 然而,政府在医疗保健领域的举措和支出的增加将推动人工智能在医疗保健领域的发展。 越来越多的患者诊断将推动人工智能在该地区癌症诊断领域的发展。
合作伙伴关係是市场进入者采取的主要策略。 根据基数矩阵中的分析,Microsoft Corporation是癌症诊断领域的 AI 市场先驱。 Flatiron Health(F. Hoffmann-La Roche Ltd.)、Paige AI, Inc.、PathAI, Inc. 等公司是癌症诊断人工智能市场的主要创新者。
The Global AI In Cancer Diagnostics Market size is expected to reach $509 million by 2028, rising at a market growth of 28.6% CAGR during the forecast period.
Artificial intelligence is an algorithm or computer program that utilizes data or information to make predictions and conclusions. To develop an algorithm, developers have created a bunch of rules or guidelines for the computer to follow the rules and commands. For an instant, Dr. Turkbey along with his team leveraged the current rules about prostate cancer that showed up on the MRI scan machine.
With the help of the machine crew utilized thousands of MRI research in their algorithm, which concluded many people has prostate cancer whereas many of them didn't have any signs of cancer. The algorithm enrolls in how to evaluate and understand data while utilizing machine learning or artificial intelligence. Machine learning may utilize data that are not visible to the human brain or eyes.
Moreover, these algorithms keep on updating and being informed as they are exposed to new data. Deep learning along with machine learning and AI in the detection of cancer. It also utilizes Artificial neural networks which replicate how the human brain collects, analyzes, and reacts to the signals from the entire body. Researchers in NCI's intramural research program is utilizing the complete abilities of AI to enhance cancer testing in prostate and cervical cancer.
15 years ago, NCI physicians started executing biopsies backed by Magnetic resonance imaging, allowing researchers to target the areas of the prostate which could be cancerous. MRI biopsy enhanced the detection and treatment performed by prostate cancer professionals. Moreover, AI helps clinicians to record their diagnostic skills as well as makes algorithms available for clinics across the nation to assist with clinical diagnostics and decision-making.
COVID - 19 Impact Analysis
The coronavirus had a positive impact on AI in the cancer diagnostic market. The implementation of the AI and machine learning assisted to reduce the workload of the health care and clinical facilities. With the growth of the industry, many international IT juggernauts have stepped with to develop AI tools and software to identify the coronavirus which would later help in detecting cancer symptoms. The shortage of healthcare professionals due to the coronavirus cases drives the adoption of AI solutions for better patient assistance and results. The diagnosis, aftercare, and other procedure were hard to maintain during the pandemic as they were time-consuming.
Market Growth Factors
Increasing technological advancements in the healthcare sector
The technologies and the adoption of artificial intelligence in the detection of cancer diagnostics propel the growth of the healthcare sector. The artificial tools contain the need for low-price diagnostic procedures and quick detection data generation. The demand for technology developments in the healthcare sector for detecting and screening cancer is also anticipated to support industry growth. Moreover, the technological enhancement in healthcare by government spending drives the growth of the health care sectors in emerging nations.
Growing need for early cancer diagnosis
The growing awareness of early cancer diagnostics drives the growth of AI in cancer diagnostics. The rise in the number of government programs to promote healthcare organizations along with healthcare providers to combine AI technologies in their hospitals for the betterment and advance the therapy of the patients. Moreover, the adoption of the technologies helps private organizations and nonprofit organizations to deliver enhanced medical results and the reduced cost of treatment which increases early diagnostic among people.
Market Restraining Factors
Lack of Understanding of AI Use in the Healthcare Sector
Managing huge datasets and databases along with the knowledge & training of AI systems and machine learning is the biggest barrier to deep learning technologies. However, the utilization of AI can also bring the issue of data breaches because it could provide crucial individual data such as genomic sequences. The various issues restricting the growth include the lack of transparency, risk of bias for the AI algorithms, data utilized for training purposes, and problem encounters while AI implementation authority in clinical settings. Philosophical issues are one of the thorniest problems faced in artificial intelligence.
End-User Outlook
By End-user, the AI in Cancer Diagnostics Market is classified into Hospital, Surgical Centers and Medical Institutes, and Others. The surgical centers & medical institutes segment registered a remarkable revenue share in the AI in cancer diagnostics market in 2021. It is because the adoption of AI has reduced the cases of misleading negatives and positives to deliver enhanced patient results. The evolution of medical education is propelling along with the growth of healthcare. Moreover, the adoption and practice of medicine with the implementation of AI and the utilization of data learning for better invention enhance the growth and decision making in the industry.
Component Outlook
Based on the Component, the AI in Cancer Diagnostics Market is segmented into Software Solutions Hardware, and Services. The software solutions segment acquired the highest revenue share in the AI in cancer diagnostics market in 2021. It is because many big competitors are launching new solutions for the diagnosis of cancer. With the help of the software, doctors can efficiently and precisely identify the micro size of cancer or tumor. Moreover, artificial intelligence software is more precise and trustworthy than the human diagnostic system. The software platform provides high-quality analytics, and quick results grow the confidence of the doctors as well as boost productivity along with human safety.
Cancer Type Outlook
On the basis of Cancer Type, the AI in Cancer Diagnostics Market is divided into Breast Cancer, Lung Cancer, Prostate & Colorectal Cancer, Brain Tumor, Skin Cancer & Cervical Cancer and Others. The breast cancer segment procured the largest revenue share in the AI in cancer diagnostics market in 2021. It is because the incidence of breast cancer is growing due to the cells in the breast growing out of control. Breast cancer depends on which cell is infected in the breast which came out as cancer. The breast is made up of three components which include ducts, lobules, and connective tissue.
Regional Outlook
Region-wise, the AI in Cancer Diagnostics Market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North America segment acquired the largest revenue share in the AI in cancer diagnostics market in 2021. The growing cancer prevalence along with the accessibility of the updated healthcare infrastructure propel the growth of the market. However, the increasing government initiatives and the expenditure in the healthcare sector drive the growth of AI in the medical sector. The growing number of patient's diagnostic propels the growth of AI in cancer diagnostics in this region.
The major strategies followed by the market participants are Partnerships. Based on the Analysis presented in the Cardinal matrix; Microsoft Corporation is the forerunner in the AI In Cancer Diagnostics Market. Companies such as Flatiron Health (F. Hoffmann-La Roche Ltd.), Paige AI, Inc., PathAI, Inc. are some of the key innovators in AI In Cancer Diagnostics Market.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Microsoft Corporation, Flatiron Health, Paige AI, Inc., PathAI, Inc., Therapixel, Tempus, Inc., SkinVision BV, Cancer Center Sp. z o.o., Medial EarlySign and Kheiron Medical Technologies Limited.
Recent Strategies Deployed in AI In Cancer Diagnostics Market
Partnership, Collaboration and Agreement:
Nov-2022: Flatiron Health came into partnership with Caris Life Sciences (Caris), the leading molecular science and technology company. Through this partnership, the company aimed at broadening access to precision medicine at the point of care with seamless ordering and receipt of Caris molecular profiling by integrating OncoEMR platform, a leading cloud-based electronic medical record (EMR) tool.
Aug-2022: PathAI came into partnership with Bristol Myers Squibb, an American multinational pharmaceutical company. Through this partnership, the company aimed at developing drugs by expanding the use of artificial intelligence (AI).
Jan-2022: Flatiron Health joined hands with NCCHE, a Japanese cancer center that provides cancer medicine. The collaboration is aimed at expanding the company's international presence.
Nov-2021: Kheiron Medical Technologies teamed up with Stanford University, a private research university. This collaboration aimed at using the expertise of the Stanford Center for Artificial Intelligence in Medicine & Imaging to enhance the use of AI in new areas of Oncology.
Oct-2021: PathAI came into partnership with Roche, a biotechnology company that develops and provides drugs and diagnostics. Through this partnership, the company aimed at developing and providing its AI pathology through Roche's uPath enterprise software.
Jun-2021: Kheiron Medical Technologies entered into a partnership with Atlas Medical, a manufacturer and supplier of quality Diagnostic Reagents and Kits. The partnership is aimed at launching Mia, a solution for breast cancer screening that supports radiologists in detecting cancer more accurately.
May-2021: Paige joined hands with Quest Diagnostics, an American clinical laboratory that provides diagnostic insights. Through this collaboration, the company aimed at delivering faster, more accurate, and more informed clinical insights by creating new software.
Mar-2021: Paige came into partnership with Epredia, a global leader in precision cancer diagnostics. Through this partnership, the company aimed at helping pathologists to unlock insights from each sample and provide results to the patient and clinician more quickly by offering a portfolio of software.
Dec-2020: Tempus joined hands with Bayer, a German multinational pharmaceutical and biotechnology company. The collaboration aimed at providing genomic testing access and tailored treatment approaches for the oncology community.
Product Launch and Product Expansion:
May-2022: Therapixel launched MammoScreen - 2D and 3D, an AI-based software that automatically analyzes mammograms and displays a summary report to radiologists, providing breast cancer detection and using prior exams to refine prediction.
Mar-2022: Paige unveiled Paige Breast Lymph Node, an AI medical device software, designed to increase the accuracy and efficiency in the detection of breast cancer. The launch focused on helping pathologists detecting if breast cancer has metastasized to lymph nodes.
Acquisition, Joint Venture and Merger:
Jul-2021: PathAI completed the acquisition of Poplar, the management service organization for Poplar Healthcare PLLC, an industry-leading independent anatomic pathology laboratory services provider. Through this acquisition, the company would be able to integrate testing services into its existing artificial intelligence-powered pathology platform.
Market Segments covered in the Report:
By End-user
By Component
By Cancer Type
By Geography
Companies Profiled
Unique Offerings from KBV Research
List of Figures