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ヘルスケア人工知能の世界市場規模、シェア、成長分析:コンポーネント別、用途別 - 産業予測(2024~2031年)Global Healthcare Artificial Intelligence Market Size, Share, Growth Analysis, By Component(Software Solutions, Hardware), By Application(Virtual Assistants, Connected Machines) - Industry Forecast 2024-2031 |
ヘルスケア人工知能の世界市場規模、シェア、成長分析:コンポーネント別、用途別 - 産業予測(2024~2031年) |
出版日: 2024年03月05日
発行: SkyQuest
ページ情報: 英文 219 Pages
納期: 3~5営業日
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世界のヘルスケア人工知能の市場規模は、2022年に155億米ドルとなり、2023年の213億1,000万米ドルから、2031年までには2,733億1,000万米ドルに成長し、予測期間中(2024~2031年)のCAGRは37.5%で成長する見通しです。
世界のヘルスケア人工知能市場の成長を後押ししている要因は数多くあります。これには、医療費削減の必要性、オーダーメイド治療に対する需要の高まり、患者の健康に関するデジタルデータの普及などが含まれます。また、世界の高齢者の増加、ライフスタイルの変化、慢性疾患の罹患率の増加などの影響も受けており、これらすべてが病気の早期発見と理解に対する需要を高めています。最近では、機械学習(ML)や人工知能(AI)のアルゴリズムがヘルスケアシステムで広く使われています。これらの技術は、事前の健康データに基づいて正確な早期疾病予測を行います。さらに、自然言語処理(NLP)技術、予測分析、コンテンツ分析、ディープラーニングといった最先端の手法により、医療従事者は根本的な医学的問題を早期に特定することができます。AI技術の導入は、COVID-19の大流行によってプラスの影響を受けました。これらの技術は、様々なウイルス株を診断し、大流行をよりよくコントロールするために、ヘルスケアシステムに迅速に採用されました。特に、AI/MLアルゴリズムは、曝露歴、症状、病理所見、胸部CT画像を用いてCOVID-19陽性と判定された患者の診断に使用されました。AI/ML技術の導入は、ヘルスケア従事者の不足によってさらに推進されました。AIシステムは患者の健康データを迅速に評価することができ、医療従事者がタイムリーな診断と的確な治療計画を立てられるよう支援します。ヘルスケアにおけるAIの利用は、政府のイニシアチブ、M&Aの増加、技術提携、そして現在進行中のパンデミックによって促進されています。
Global Healthcare Artificial Intelligence Market size was valued at USD 15.50 billion in 2022 and is poised to grow from USD 21.31 billion in 2023 to USD 273.31 billion by 2031, growing at a CAGR of 37.5% during the forecast period (2024-2031).
Numerous factors are driving the growth of the Global Healthcare Artificial Intelligence Market. These include the need to lower healthcare costs, the growth in demand for tailored therapy, and the proliferation of digital data pertaining to patient health. The market is also influenced by the growing number of senior people worldwide, changing lifestyles, and the increased incidence of chronic illnesses, all of which have increased demand for early disease detection and understanding. These days, machine learning (ML) and artificial intelligence (AI) algorithms are widely used in healthcare systems. These technologies make accurate early-stage disease predictions based on prior health data. Furthermore, cutting-edge methods such as natural language processing (NLP) technologies, predictive analytics, content analytics, and deep learning allow medical practitioners to identify underlying medical issues early on. The deployment of AI technologies has been positively impacted by the Covid-19 pandemic. These technologies were quickly embraced by healthcare systems in order to diagnosis various viral strains and better control the outbreak. In particular, AI/ML algorithms were used to diagnose patients who tested positive for Covid-19 using exposure history, symptoms, pathological findings, and chest CT images. The deployment of AI/ML technology was further propelled by the shortage of healthcare workers. AI systems are able to quickly evaluate patient health data, assisting medical professionals in making timely diagnoses and precise treatment plans. The use of AI in healthcare has been expedited by government initiatives, a rise in mergers and acquisitions, technology partnerships, and the ongoing pandemic.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Healthcare Artificial Intelligence Market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Healthcare Artificial Intelligence Market Segmental Analysis
Based on component, application, and geography, the global healthcare artificial intelligence market is divided into segments. The market is divided into software solutions, hardware, and services segments based on the component. The market is divided into four application categories: clinical trials, virtual assistants, connected machines, and diagnosis. The market is divided into North America, Europe, Latin America, Asia-Pacific, the Middle East, and Africa based on geographic regions.
Drivers of the Global Healthcare Artificial Intelligence Market
AI technologies are becoming more and more economical for healthcare businesses as their cost decreases. The use of AI in healthcare is also being fueled by this.
Restraints in the Global Healthcare Artificial Intelligence Market
The deployment of AI is hampered by the lack of qualified AI specialists in the healthcare sector.
Market Trends of the Global Healthcare Artificial Intelligence Market
Personalized medicine-the technique of customizing medical care for each patient-is being developed with the assistance of AI. To do this, artificial intelligence (AI) is being used to examine massive patient data sets in order to find trends and connections that can be utilized to forecast a patient's chance of developing an illness or how they will react to therapy.