市場調查報告書
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人工智能在癌症診斷中的全球市場規模、份額和行業趨勢分析報告:2022-2028 年最終用戶、成分、癌症類型、地區的展望和預測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 |
在預測期內,人工智能在癌症診斷領域的全球市場規模預計將以 28.6% 的複合年增長率增長,到 2028 年將達到 5.09 億美元。
此外,這些算法不斷更新,並通過接觸新數據獲得信息。 深度學習與機器學習和人工智能一起用於癌症檢測。 它還利用模擬人腦如何收集、分析和響應來自全身的信號的人工神經網絡。 NCI 校內研究計劃的研究人員正在利用 AI 的全部力量來加強對前列腺癌和宮頸癌的癌症篩查。
15 年前,NCI 的醫生開始使用 MRI 活檢來幫助研究人員瞄準可能癌變的前列腺區域。 MRI 活檢增強了前列腺癌專業人員的檢測和治療。 此外,人工智能不僅記錄了臨床醫生的診斷技能,還讓全國各地的診所都可以使用算法來輔助臨床診斷和決策。
COVID-19 影響分析
冠狀病毒對癌症診斷領域的 AI 市場產生了積極影響。 人工智能和機器學習的引入有助於減輕醫療機構和臨床設施的工作量。 隨著該行業的發展,許多國際 IT 巨頭已著手開發人工智能工具和軟件來識別冠狀病毒,然後幫助檢測癌症症狀。 由於冠狀病毒患者導致醫療保健專業人員短缺,這將推動人工智能解決方案的採用,以提供更好的患者支持和結果。 診斷、善後護理和其他程序在大流行期間很難維持,因為它們非常耗時。
市場增長因素
醫療保健領域技術進步的增加
在檢測癌症診斷方面採用技術和人工智能將推動醫療保健行業的發展。 人工工具包括對低成本診斷程序和快速檢測數據生成的需求。 此外,醫療保健領域對癌症檢測和篩查技術開發的需求預計將支持該行業的增長。 此外,用於加強醫療保健技術的政府支出正在推動新興國家醫療保健行業的增長。
對早期癌症診斷的需求不斷增長
人們對早期癌症診斷意識的提高正在推動 AI 在癌症診斷中的發展。 與醫療機構一起,越來越多的政府計劃鼓勵醫護人員將 AI 技術整合到醫院,以改善患者和提高治療水平。 此外,技術的採用將幫助私人和非營利組織提供更好的醫療結果並降低治療成本,從而增加人群的早期診斷。
市場製約因素
對人工智能在醫療領域的應用缺乏了解
除了人工智能係統和機器學習的知識和培訓,管理龐大的數據集和數據庫是深度學習技術的最大障礙。 然而,人工智能的使用也會帶來數據洩露問題,因為它可以提供重要的個人數據,例如基因組序列。 限制增長的各種問題包括缺乏透明度、AI 算法偏差的風險、用於學習目的的數據以及臨床環境中 AI 採用權威的新問題。 哲學問題是人工智能面臨的最困難的問題之一。
最終用戶視角
按終端用戶劃分,癌症診斷領域的 AI 市場分為醫院、手術中心和醫療機構等。 2021 年,外科中心和醫療機構部門在癌症診斷的 AI 市場中佔據了顯著的收入份額。 人工智能的採用減少了誤導性的陰性和陽性病例,並提供了更可靠的患者治療結果。 隨著醫療保健的發展,醫學教育也在不斷發展。 此外,通過實施 AI 和利用數據學習實現更好的發明來採用和實踐醫療保健將促進行業增長和決策。
組件視角
基於組件,癌症診斷中的人工智能市場被細分為軟件解決方案、硬件和服務。 軟件解決方案部分在 2021 年的癌症診斷 AI 市場中獲得了最高的收入份額。 這是因為許多大型競爭對手正在推出新的癌症診斷解決方案。 借助軟件,醫生可以高效、準確地識別癌症和腫瘤的微小尺寸。 此外,人工智能軟件比人類診斷系統更準確、更可靠。 該軟件平台提供高質量的分析和快速的結果,增加了醫生的信心,提高了工作效率和人身安全。
癌症類型的前景
癌症診斷的人工智能市場根據癌症類型分為乳腺癌、肺癌、前列腺癌/結直腸癌、腦癌、皮膚癌/宮頸癌等。 2021 年,乳腺癌細分市場在癌症診斷的 AI 市場中獲得了最大的收入份額。 因為乳腺中的細胞失控,乳腺癌的發病率越來越高。 乳腺癌取決於作為癌症出現的乳房中的哪些細胞被感染。 乳房由導管、小葉和結締組織三部分組成。
區域展望
按地區劃分,對北美、歐洲、亞太地區和 LAMEA 的癌症診斷市場中的 AI 進行了分析。 北美市場將在 2021 年佔據癌症診斷 AI 市場的最大收入份額。 癌症患病率的增加以及現代醫療基礎設施的可及性正在推動市場增長。 然而,政府在醫療保健領域的舉措和支出的增加將推動人工智能在醫療保健領域的發展。 越來越多的患者診斷將推動人工智能在該地區癌症診斷領域的發展。
合作夥伴關係是市場進入者採取的主要策略。 根據基數矩陣中的分析,Microsoft Corporation是癌症診斷領域的 AI 市場先驅。 Flatiron Health(F. Hoffmann-La Roche Ltd.)、Paige AI, Inc.、PathAI, Inc. 等公司是癌症診斷人工智能市場的主要創新者。
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