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體外診斷人工智能診斷用人工智能

市場調查報告書

商品編碼

1410023

醫療影像人工智慧市場：2023年至2028年預測

AI In Medical Imaging Market - Forecasts from 2023 to 2028

出版日期: 2023年12月15日 | 出版商:

Knowledge Sourcing Intelligence | 英文 140 Pages | 商品交期: 最快1-2個工作天內

價格

簡介目錄

2021年醫療影像AI市場估值為10.63億美元。

隨著人工智慧創新在醫療產業的不斷落地，人工智慧在醫學影像診斷市場的成長已得到根本性發展。由於對更準確、更有效的診斷工具的需求不斷成長，醫療影像處理領域人工智慧的市場規模不斷成長。醫學影像領域的人工智慧市場佔有率由積極開發人工智慧演算法並將其整合到醫學影像處理系統中的主要企業主導。其成員包括醫療服務創新組織、影像處理硬體製造商和程式工程師。市場開拓和創新的進展預計將改善醫學影像診斷結果。

介紹

人工智慧在醫學影像處理的市場規模正在迅速擴大，並透過改變演示成像重新思考醫療服務業務。例如，醫學影像系統正在整合機器學習和深度學習演算法，以提高準確性、效率和患者治療結果。

對於 X 光、電腦斷層掃描、MRI和超音波醫學掃描，醫學影像領域人工智慧市場的成長能夠增強影像處理、自動判讀和異常識別。這種人工意識驅動的創新將幫助放射科醫師和醫生發現和分析惡性、心血管感染、神經系統問題和外側肌肉特性等疾病。

醫學影像市場人工智慧的主要企業：

GE醫療保健： GE醫療保健提供各種人工智慧驅動的醫療影像產品，包括Edison平台，該平台將人工智慧演算法融入影像設備中，以協助治療計劃和診斷。我們為 X 光、CT、MRI、超音波和其他顯像模式提供人工智慧解決方案。
西門子 Healthineas：西門子 Healthineers 提供人工智慧主導的臨床影像設備，包括人工智慧 Rad Sidekick 階段。它為機械化影像探索和轉換提供了人工推理策略，使放射科醫生能夠進一步提高決策準確性和工作流程有效性。
飛利浦醫療保健：飛利浦醫療保健的 IntelliSpace 平台提供人工智慧增強型醫療圖像解決方案。該公司的人工智慧系統提供自動化醫學影像處理，以促進各種顯像模式的疾病診斷和表徵。
NVIDIA Corporation：用於醫學影像的人工智慧軟體和技術由 NVIDIA 開發。醫學成像應用利用該公司的 GPU 和 AI 平台來加速影像分析、實現即時影像處理並支援深度學習演算法。
Aidoc： Aidoc 是一個由人工智慧驅動的放射成像平台，可查看醫學影像來識別重要觀察並確定優先順序。其演算法使放射科醫生更容易發現異常並更快地治療患者。

市場促進因素

對準確、及時的疾病診斷的需求不斷成長將增加人工智慧在醫學影像中的採用

人們對準確、理想的疾病識別日益成長的興趣是醫學影像市場人工智慧發展的關鍵驅動力。美國國家醫學圖書館 (NLM) 的資料顯示，人工智慧在醫學影像中的應用在確定準確性方面顯示出了強勁的成果。在疾病檢測方面，人工智慧演算法表現出高度的敏感性和特異性，可以為患者帶來更早的治療和更好的結果。隨著醫療保健專業人員努力實現更準確、更有效率的疾病診斷，對人工智慧驅動的醫療圖像解決方案的需求持續成長。

AI演算法與醫療圖像系統的整合：

醫學影像處理系統與人工智慧演算法的整合是人工智慧在醫學影像處理市場的關鍵成長領域。此次合作將支援臨床照片的機器人檢查、進一步先進的異常識別證據以及提高結論的準確性。由人工智慧驅動的醫學影像處理系統可以快速、準確地分析和解釋大量影像資料，使醫療保健專業人員能夠為患者做出更好的決策。人工智慧演算法和醫學影像設備的無縫整合推動了這一領域的進步，重新定義了醫學影像的執行和理解方式。

加大對醫學影像AI研發的投入與資金籌措：

創投公司的增加和對臨床影像人工智慧創新研究的資金籌措正在推動該商業領域的發展。隨著資金的增加，開發人員和研究人員將有更多的資源來研究新的人工智慧演算法、增強現有技術並提高醫學影像處理系統的功能。這些投資為更準確的診斷、改善患者治療結果和改善醫療保健服務鋪平了道路，同時刺激創新並推動該領域的進步。業界對人工智慧潛力的認可以及對持續探索和應用的承諾體現在醫學影像領域人工智慧資金的增加。

在預測期內，醫療影像處理市場中的人工智慧預計將以穩定的速度成長。

醫學影像市場的人工智慧分為產品、技術、應用、最終用戶和區域部分。產品進一步細分為硬體、軟體和服務。科技進一步分為機器學習、深度學習和電腦視覺。

北美引領醫學影像人工智慧市場

北美是全球領先的醫療成像人工智慧市場，擁有很大佔有率。現代醫療基礎設施、高額醫療支出以及重要公司和研究機構的大量存在是該地區主導的因素之一。支持人工智慧在醫療保健領域使用的理想政府措施和法規也推動了該地區的發展。由於對準確診斷工具、疾病早期檢測和個人化治療計劃的需求不斷成長，北美醫學影像領域的人工智慧市場佔有率正在不斷增強。該地區的大蛋糕反映了其作為醫學影像處理人工智慧改進和醫療服務發展中心的地位。

主要進展：

2022 年 10 月，醫療開放 AI 網路 MONAI 與 Google Cloud 的醫療影像套件整合，以實現醫療影像工作流程的資料互通性。 2022 年 12 月，人工智慧驅動的數位工程公司 Quantiphi 宣布已被選為 Google Cloud 醫療成像套件的啟動合作夥伴。

As a result of the rising execution of man-made brainpower innovations in the medical care industry, artificial intelligence in the medical Imaging market growth has developed fundamentally. Artificial intelligence in the medical imaging market size has expanded as a direct result of the growing demand for diagnostic tools that are both more accurate and more effective. The AI in Medical Imaging market share is controlled by key companies that are actively developing and integrating AI algorithms into medical imaging systems. Medical services innovation organizations, imaging hardware producers, and programming engineers are among the members. More development and innovation are anticipated as the market develops, resulting in improved medical imaging outcomes.

Introduction:

Artificial intelligence in the Medical Imaging market size is extending quickly and is rethinking the medical services business by changing demonstrative imaging. To improve accuracy, efficiency, and patient outcomes, for instance, medical imaging systems are incorporating machine learning and deep learning algorithms.

In medical scans like X-rays, CT scans, MRIs, and ultrasound, AI in Medical Imaging market growth enables enhanced image processing, automated interpretation, and the identification of anomalies. These man-made consciousness-fueled innovations can help radiologists and doctors find and analyze infirmities like malignant growth, cardiovascular infection, neurological issues, and outer muscle peculiarities.

Key Players in AI in Medical Imaging Market:

GE Healthcare.: GE Healthcare offers a variety of AI-powered medical imaging products, such as its Edison platform, which incorporates AI algorithms into imaging devices to aid in treatment planning and diagnosis. They offer AI solutions for X-ray, CT, MRI, ultrasound, and other imaging modalities.
Siemens Healthineers: Siemens Healthineers gives man-made intelligence-driven clinical imaging items, for example, the man-made intelligence Rad Sidekick stage. It offers man-made reasoning strategies for mechanized picture investigation and translation, permitting radiologists to further develop determination precision and work process effectiveness.
Philips Healthcare: The IntelliSpace platform from Philips Healthcare provides AI-enhanced medical imaging solutions. Automated medical picture processing is provided by their AI systems, facilitating illness diagnosis and characterization across a variety of imaging modalities.
NVIDIA Corporation: AI software and technology for medical imaging are developed by NVIDIA. Applications in medical imaging make use of their GPUs and AI platforms to speed up image analysis, make it possible to process images in real time and support deep learning algorithms.
Aidoc: Aidoc is an AI-powered radiography platform that looks at medical images to find important findings and give them priority. Their algorithms make it easier for radiologists to find anomalies and treat patients more quickly.

MARKET DRIVERS:

Growing demand for precise and timely illness diagnosis to increase AI adoption in medical imaging

The rising interest in precise and ideal sickness identification is a significant driver of development in AI in the medical imaging market. As per the data by National Library of Medicine (NLM), utilizing AI in medical imaging has yielded empowering brings about terms of helping determine precision. In terms of illness detection, AI algorithms have demonstrated high sensitivity and specificity, which has led to earlier treatments and better outcomes for patients. The demand for AI-driven medical imaging solutions continues to rise as healthcare professionals strive for more accurate and efficient disease diagnosis.

Integration of AI algorithms with medical imaging systems:

The integration of AI algorithms with medical imaging systems is a significant growth area for AI in the Medical Imaging market. This association empowers robotized investigation of clinical pictures, further developed anomaly distinguishing proof, and expanded conclusion precision. AI-powered medical imaging systems can quickly and accurately analyze and interpret huge amounts of imaging data, allowing healthcare professionals to make better decisions for their patients. Improvements in the field are being driven by the seamless integration of AI algorithms with medical imaging devices, which is also redefining how medical imaging is carried out and comprehended.

Rising investments and funding for AI in medical imaging research and development:

Rising ventures and funding for artificial intelligence in clinical imaging innovative work are driving business sector development. As funding increases, developers and researchers will have access to more resources to investigate novel AI algorithms, enhance existing technologies, and enhance the capabilities of medical imaging systems. These investments pave the way for more precise diagnoses, improved patient outcomes, and improved healthcare delivery while also stimulating innovation and propelling developments in the field. The industry's recognition of AI's potential and dedication to ongoing research and application can be seen in the increased funding for AI in medical imaging.

During the projected period, AI in the medical imaging market would increase at a stable rate.

The market for artificial intelligence in medical imaging is divided into the offering, technology, application, end-user, and geographical area segments. The offering is further segmented into hardware, software, and services. Technology is further segmented into machine learning, deep learning, and computer vision.

North America is leading in the AI in the medical imaging market.

With a significant medical imaging AI market share, North America is the global leader. Modern healthcare infrastructure, high healthcare spending, and a significant presence of important businesses and research institutes are among the factors that contribute to the region's dominance. Besides, ideal government endeavors and regulations empowering the utilization of AI in healthcare add to the district's piece of the pie. North America's AI in medical imaging market share is bolstered by the rising demand for accurate diagnostic tools, early illness identification, and individualized treatment plans. The locale's huge piece of the pie mirrors its situation as a middle for artificial intelligence in medical imaging improvements and medical services conveyance development.

Key Developments:

In October 2022, medical open network of AI, MONAI integrated with Google Cloud's Medical Imaging Suite for enabling data interoperability for medical imaging workflows.
In December 2022, Quantiphi, an AI-enabled digital engineering company announced its selection as a launch partner for Google Cloud's Medical Imaging Suite which is a novel industry solution leveraging artificial intelligence (AI) for medical imaging.

Segmentation

By Offering

Software
Services

By Technology

Machine Learning
Deep Learning
Computer Vision

By Application

Oncology
Neurology
Cardiology
Pulmonary
Orthopedics
Others

By End User

Hospitals & Clinics
Diagnostics Image Centers
Research Institutes
Others

By Geography

North America
United States
Canada
Mexico
South America
Brazil
Argentina
Others
Europe
United Kingdom
Germany
France
Italy
Spain
Others
Middle East and Africa
Saudi Arabia
UAE
Others
Asia Pacific
Japan
China
India
South Korea
Indonesia
Taiwan
Other

1. INTRODUCTION

1.1. Market Overview
1.2. Market Definition
1.3. Scope of the Study
1.4. Market Segmentation
1.5. Currency
1.6. Assumptions
1.7. Base, and Forecast Years Timeline

2. RESEARCH METHODOLOGY

2.1. Research Data
2.2. Assumptions

3. EXECUTIVE SUMMARY

3.1. Research Highlights

4. MARKET DYNAMICS

4.1. Market Drivers
4.2. Market Restraints
4.3. Porter's Five Force Analysis
- 4.3.1. Bargaining Power of Suppliers
- 4.3.2. Bargaining Power of Buyers
- 4.3.3. Threat of New Entrants
- 4.3.4. Threat of Substitutes
- 4.3.5. Competitive Rivalry in the Industry
4.4. Industry Value Chain Analysis

5. AI IN MEDICAL IMAGING MARKET, BY OFFERING

5.1. Introduction
5.2. Software
5.3. Services

6. AI IN MEDICAL IMAGING MARKET, BY TECHNOLOGY

6.1. Introduction
6.2. Machine Learning
6.3. Deep Learning
6.4. Computer Vision

7. AI IN MEDICAL IMAGING MARKET, BY APPLICATION

7.1. Introduction
7.2. Oncology
7.3. Neurology
7.4. Cardiology
7.5. Pulmonary
7.6. Orthopedics
7.7. Others

8. AI IN MEDICAL IMAGING MARKET, END-USER

8.1. Introduction
8.2. Hospitals & Clinics
8.3. Diagnostics Image Centers
8.4. Research Institutes
8.5. Others

9. AI IN MEDICAL IMAGING MARKET, BY GEOGRAPHY

9.1. Introduction
9.2. North America
- 9.2.1. United States
- 9.2.2. Canada
- 9.2.3. Mexico
9.3. South America
- 9.3.1. Brazil
- 9.3.2. Argentina
- 9.3.3. Others
9.4. Europe
- 9.4.1. United Kingdom
- 9.4.2. Germany
- 9.4.3. France
- 9.4.4. Italy
- 9.4.5. Spain
- 9.4.6. Others
9.5. The Middle East and Africa
- 9.5.1. Saudi Arabia
- 9.5.2. UAE
- 9.5.3. Others
9.6. Asia Pacific
- 9.6.1. Japan
- 9.6.2. China
- 9.6.3. India
- 9.6.4. South Korea
- 9.6.5. Indonesia
- 9.6.6. Taiwan
- 9.6.7. Others