市場調査レポート
商品コード
1467572
ヘルスケアにおける人工知能市場レポート:オファリング、技術、用途、エンドユーザー、地域別、2024~2032年Artificial Intelligence in Healthcare Market Report by Offering, Technology, Application, End-User, and Region 2024-2032 |
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ヘルスケアにおける人工知能市場レポート:オファリング、技術、用途、エンドユーザー、地域別、2024~2032年 |
出版日: 2024年04月08日
発行: IMARC
ページ情報: 英文 145 Pages
納期: 2~3営業日
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ヘルスケアにおける人工知能の世界市場規模は、2023年に61億米ドルに達しました。今後、IMARC Groupは、2024~2032年にかけて27.4%の成長率(CAGR)を示し、2032年までに572億米ドルに達すると予測しています。個別化された薬への需要の高まり、遠隔患者監視施設の人気の高まり、ヘルスケア画像の分析、異常の検出、患者の転帰を効率的に予測するための機械学習(ML)技術の進歩の増加は、市場を推進する主要要因の一部です。
ヘルスケアにおける人工知能(AI)とは、複雑なヘルスケアデータを分析し、診断と治療を支援し、ヘルスケアの意思決定プロセスをサポートするために、インテリジェントなアルゴリズムと計算モデルを適用することです。機械学習(ML)、自然言語処理(NLP)、コンピュータビジョン、エキスパートシステムなど、さまざまなAI技術が含まれます。電子カルテ(EHR)、ヘルスケア画像、ゲノムデータなど、大量の患者データを分析し、パターンを特定して予測を行う。疾患の早期発見、個別化された治療計画、臨床的意思決定支援に役立ちます。さらに、データ分析別の貴重な洞察や推奨事項を提供することで、ヘルスケア専門家がエビデンス別の意思決定を行うのを支援することができます。
現在、ヘルスケア研究や医薬品開発プロセスを改善することから、ヘルスケアにおけるAIの需要が増加しており、市場の成長を後押ししています。このほか、デジタルEHR、ヘルスケア画像、ゲノム情報など、ヘルスケア業界で生成されるデータ量の増加が市場の成長に寄与しています。さらに、ヘルスケア画像を効率的に分析し、異常を検出し、患者の転帰を予測するためのML技術の進歩の高まりは、良好な市場展望を提供しています。これとは別に、エビデンス別の推奨や治療ガイドラインを提供し、ヘルスケア専門家が正確で情報に基づいた意思決定を行うのを支援する臨床意思決定支援システムに対する需要の増加が、市場の成長を支えています。さらに、ヘルスケアにおけるAIの導入を促進するために、多くの国の政府機関が政策やインセンティブを導入する動きが活発化していることも、市場の成長を後押ししています。
個別化された医薬品に対する需要の高まり
個別化された医薬品は、遺伝学、ライフスタイル、病歴など、個人の固有の特性に合わせて調整されます。これらの要素を考慮することで、個別化された医薬品は、従来の画一的なアプローチと比較して、特定の症状の治療においてより効果的である可能性を秘めています。これに加えて、個別化された医薬品は、各患者の特定の特徴に基づいて的を絞った治療を提供することを目指しており、より正確な診断とオーダーメイドの治療を可能にしています。さらに、個別化ヘルスケアの開発におけるAIの統合は、そのプロセスの精度を向上させています。また、各患者の特異的な特徴別の標的治療の実現を目指す特定のバイオマーカーの特定にも役立っており、より正確な診断とオーダーメイドの治療が可能となっています。
遠隔患者モニタリングの普及
遠隔患者モニタリングでは、自宅にいながら自分の健康状態を把握できるため、ヘルスケア施設に頻繁に出向く必要がなくなります。これにより、移動、待合室、その他ヘルスケアに関連する不便さが制限され、患者の満足度向上につながります。特に遠隔地やヘルスケアサービスが行き届いていない地域の患者にとっては、ヘルスケアへのアクセスが向上し、患者はヘルスケア提供者とつながり、場所に関係なく質の高いケアを受けることができます。人工知能(AI)と統合されたヘルスケア機器の採用によるリアルタイムのモニタリングにより、ヘルスケア提供者は患者の健康状態の異常や逸脱を迅速に発見することができます。ヘルスケアにおけるAIは、プロセスの有効性と効率性を高めることで、遠隔患者モニタリングにおいて重要な役割を果たしています。
大衆における慢性疾患の増加
現在、長時間の座位、身体活動の低下、不健康な食習慣など、不活発なライフスタイルに起因する慢性疾患の有病率が上昇しています。こうした生活習慣は、肥満、糖尿病、心血管疾患といった疾患の発生に寄与しています。加えて、加工食品、砂糖入り飲料、飽和脂肪酸を多く含む食品の過剰摂取を含む食生活の乱れも、慢性疾患の発症に寄与しています。慢性疾患の増加は入院率の上昇にもつながり、AIを取り入れた効果的な治療法の需要が高まっています。ヘルスケアにおけるAIは、スクリーニング・プロセスを改善し、様々な慢性疾患の発見を可能にしています。また、ヘルスケア専門家が正しい判断を下し、正確な診断を下すための支援にもなっています。
The global artificial intelligence in healthcare market size reached US$ 6.1 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 57.2 Billion by 2032, exhibiting a growth rate (CAGR) of 27.4% during 2024-2032. The growing demand for personalized medications, rising popularity of remote patient monitoring facilities, and increasing advancements in machine learning (ML) techniques for analyzing medical images, detecting anomalies, and predicting patient outcomes efficiently are some of the major factors propelling the market.
Artificial intelligence (AI) in healthcare is the application of intelligent algorithms and computational models to analyze complex medical data, assist in diagnosis and treatment, and support healthcare decision-making processes. It encompasses various AI techniques, including machine learning (ML), natural language processing (NLP), computer vision, and expert systems. It analyzes large volumes of patient data, including electronic health records (EHR), medical images, and genomic data, to identify patterns and make predictions. It aids in early disease detection, personalized treatment planning, and clinical decision support. Furthermore, it can assist healthcare professionals in making evidence-based decisions by providing valuable insights and recommendations based on data analysis.
At present, the increasing demand for AI in healthcare as it improves medical research and drug development processes is impelling the growth of the market. Besides this, the rising amount of data generated in the healthcare industry, including digital EHR, medical images, and genomic information, is contributing to the growth of the market. In addition, the growing advancements in ML techniques for efficiently analyzing medical images, detecting anomalies, and predicting patient outcomes are offering a favorable market outlook. Apart from this, the increasing demand for clinical decision support systems that offer evidence-based recommendations and treatment guidelines and assist healthcare professionals in making accurate and informed decisions is supporting the growth of the market. Additionally, the rising implementation of policies and incentives by governing agencies of numerous countries to promote the adoption of AI in healthcare is bolstering the growth of the market.
Rising demand for personalized medications
Personalized medications are tailored to the unique characteristics of individuals, such as genetics, lifestyle, and medical history. By considering these factors, personalized medications possess the potential to be more effective in treating specific conditions compared to traditional one-size-fits-all approaches. Besides this, personalized medications aim to deliver targeted treatments based on the specific characteristics of each patient, allowing for more accurate diagnoses and tailored therapies. In addition, the integration of AI in the development of personalized medication is improving the accuracy of the process. It is also helping in identifying specific biomarkers that aim to deliver targeted treatments based on the specific characteristics of each patient, allowing for more accurate diagnoses and tailored therapies.
Increasing popularity of remote patient monitoring
Remote patient monitoring enables individuals to track their health from the comfort of their own homes, eliminating the need for frequent trips to healthcare facilities. This limits the inconvenience of travel, waiting rooms, and other healthcare-related inconveniences, leading to improved patient satisfaction. It enhances healthcare accessibility, particularly for those in remote or underserved areas, allowing patients to connect with healthcare providers and receive high-quality care regardless of their location. Real-time monitoring by employing medical devices integrated with artificial intelligence (AI) enables healthcare providers to promptly detect any abnormalities or deviations in patient health. AI in healthcare plays a crucial role in remote patient monitoring by enhancing the effectiveness and efficiency of the process.
Increasing occurrence of chronic disorders among the masses
Presently, there is a rise in the prevalence of chronic illnesses caused by inactive lifestyles, such as prolonged sitting, decreased physical activity, and unhealthy eating habits. These lifestyle factors contribute to the emergence of conditions like obesity, diabetes, and cardiovascular diseases. In addition, poor dietary choices involving excessive consumption of processed foods, sugary drinks, and foods high in saturated fats also contribute to the development of chronic ailments. The increase in chronic diseases is also driving hospitalization rates and the demand for effective treatment methods by incorporating AI. AI in healthcare is improving the screening process and detection of various chronic disorders. It is also assisting healthcare professionals to make the correct decision and accurate diagnoses.
IMARC Group provides an analysis of the key trends in each segment of the global artificial intelligence in healthcare market report, along with forecasts at the global, regional and country levels from 2024-2032. Our report has categorized the market based on offering, technology, application, and end-user.
Hardware
Software
Services
Software dominates the market
The report has provided a detailed breakup and analysis of the market based on the offering. This includes hardware, software, and services. According to the report, software represented the largest segment.
Software associated with AI in healthcare comprises electronic health record (EHR) systems, imaging analysis software, clinical decision support systems (CDSS), and natural language processing (NPL) tools. They digitally store and manage patient health records and analyze and extract valuable insights from the vast amount of patient data, facilitating decision-making, personalized treatment planning, and clinical research. They utilize computer vision and machine learning (ML) algorithms to assist radiologists in detecting abnormalities, making diagnoses, and providing quantitative measurements. They can extract relevant information, classify and categorize text, and enable voice-to-text transcription. They also enable continuous monitoring of vital signs, activity levels, and other health parameters to predict health deterioration and alert healthcare providers in real-time.
Machine Learning
Context Aware Computing
Natural Language Processing
Others
Machine learning holds the largest share in the market
A detailed breakup and analysis of the market based on the technology have also been provided in the report. This includes machine learning, context aware computing, natural language processing, and others. According to the report, machine learning accounted for the largest market share.
Machine learning (ML) algorithms are employed to analyze patient data, such as electronic health records (EHR), medical imaging, and genetic information, to assist in disease diagnosis and prognosis. These algorithms identify patterns, classify diseases, and predict patient outcomes, aiding healthcare professionals in making accurate and timely decisions. They are capable of detecting abnormalities, segmenting organs and tumors, and assisting radiologists in interpreting images. ML-based image analysis improves diagnostic accuracy, reduces interpretation time, and enhances early detection of diseases. ML models also predict patient outcomes by analyzing large datasets, including clinical records, genomic data, and lifestyle factors. Furthermore, they can analyze EHR to uncover valuable insights, such as disease trends, treatment patterns, and population health indicators.
Robot-Assisted Surgery
Virtual Nursing Assistant
Administrative Workflow Assistance
Fraud Detection
Dosage Error Reduction
Clinical Trial Participant Identifier
Preliminary Diagnosis
Others
Clinical trial participant identifier holds the biggest share in the market
A detailed breakup and analysis of the market based on the application have also been provided in the report. This includes robot-assisted surgery, virtual nursing assistant, administrative workflow assistance, fraud detection, dosage error reduction, clinical trial participant identifier, preliminary diagnosis, and others. According to the report, clinical trial participant identifier accounted for the largest market share.
A clinical trial participant identifier is assigned to individuals enrolled in a clinical trial to protect their privacy and confidentiality. It is used instead of personal identifying information (such as name or social security number) to ensure anonymity and protect the identity of participants. It helps ensure data integrity and security in clinical trials. By using identifiers instead of personal information, the potential for data errors or inconsistencies due to human error or data entry mistakes is reduced. It also helps protect sensitive information from being inadvertently disclosed or misused.
Robot-assisted surgery, also known as robotic surgery, refers to a surgical technique that utilizes robotic systems to aid surgeons in performing complex procedures with enhanced precision, dexterity, and control. It involves the use of robotic arms, specialized instruments, and a computer console operated by a surgeon.
Healthcare Providers
Pharmaceutical and Biotechnology Companies
Patients
Others
Pharmaceutical and biotechnology companies hold the maximum share in the market
A detailed breakup and analysis of the market based on the end-user have also been provided in the report. This includes healthcare providers, pharmaceutical and biotechnology companies, patients, and others. According to the report, pharmaceutical and biotechnology companies accounted for the largest market share.
Pharmaceutical and biotechnology companies are embracing the use of AI due to its transformative potential across various aspects of their operations. AI offers unprecedented opportunities to revolutionize drug discovery and development processes by leveraging data-driven approaches and computational modeling. Through AI algorithms, these companies can analyze vast amounts of biological and chemical data to identify potential drug targets, predict drug activity, and optimize drug design, significantly speeding up the traditionally time-consuming and expensive drug development pipeline. Additionally, AI enables precision medicine by leveraging patient data, genomics, and clinical records to develop personalized treatment approaches. AI algorithms can identify biomarkers or genetic variations associated with disease susceptibility and treatment response, allowing for targeted therapies and patient subgroup identification.
North America
United States
Canada
Asia Pacific
China
Japan
India
South Korea
Australia
Indonesia
Others
Europe
Germany
France
United Kingdom
Italy
Spain
Russia
Others
Latin America
Brazil
Mexico
Others
Middle East and Africa
North America exhibits a clear dominance, accounting for the largest artificial intelligence in healthcare market share
The report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America accounted for the largest market share.
North America held the biggest market share since the region has an efficient medical infrastructure. Moreover, the rising occurrence of various chronic disorders among the masses is contributing to the growth of the market.
Another contributing aspect is the growing adoption of robust technology infrastructure, including advanced computing capabilities, cloud computing resources, and data storage capacities in the healthcare sector.
Asia Pacific is estimated to expand further in this domain due to the rising construction of various hospitals, clinics, and nursing homes to provide quality healthcare services. Apart from this, increasing healthcare expenditures among the masses is propelling the market growth.
Key market players are investing in research operations to improve their AI capabilities. They are also allocating significant resources to develop new algorithms, models, and platforms that can enhance the accuracy, efficiency, and effectiveness of AI applications in healthcare. Top companies are expanding and diversifying their product portfolios to meet evolving market needs. They are also developing and launching new AI-powered solutions and platforms for various healthcare domains, including diagnostic imaging, clinical decision support, remote patient monitoring, genomics, and drug discovery. Leading companies are focusing on strategic partnerships and collaborations to enhance their market reach, access new customer segments, and leverage complementary technologies.
Amazon Web Services Inc.
Cloudmedx Inc.
DeepMind
Enlitic Inc.
General Vision Inc.
Google Inc.
International Business Machines
iCarbonX
Intel Corporation
Medtronic
Micron Technology Inc.
Microsoft Corporation
Next It Corporation
Nuance Communications Inc.
Nvidia Corporation
Siemens Healthcare
Welltok Inc.
In March 2023, Medtronic plc announced a strategic collaboration with Cosmo Pharmaceutical and Nvidia Corporation to deliver the GI Genius(TM) intelligent endoscopy module - the first FDA-cleared, AI-assisted colonoscopy tool to help physicians detect polyps that can lead to colorectal cancer.
In March 2023, Nvidia Corporation announced the launch of an expanded set of generative AI cloud services for customizing AI foundation models to accelerate the production of novel proteins and therapeutics.
In November 2022, Nuance Communications Inc. announced a partnership with Nvidia Corporation for bringing medical imaging AI models directly into clinical settings and improving patient care solutions.