智慧成像開發平台市場報告：至2031年的趨勢、預測與競爭分析

全球智慧成像開發平台市場前景光明，在醫療保健、工業、農業和教育市場都蘊藏著巨大的機會。預計2025年至2031年期間，全球智慧成像開發平台市場的年複合成長率將達到14%。該市場的主要驅動力是對先進醫學成像解決方案日益成長的需求，以及人工智慧和機器學習在成像技術中日益融合的趨勢。

• 根據類型，Lucintel預測通用平台預計將在預測期內呈現高成長。
• 從應用角度來看，醫療領域預計將實現最高成長。
• 根據地區來看，預計亞太地區將在預測期內實現最高成長。

智慧影像開發平台市場新趨勢

隨著人工智慧、雲端運算的進步以及工業領域對智慧視覺資料分析日益成長的需求，智慧成像開發平台市場快速發展。這些新興趨勢定義智慧成像解決方案建置和部署的未來。

• 低程式碼/無程式碼平台助力 AI影像處理普及：低程式碼/無程式碼智慧成像開發平台的興起是一個顯著趨勢。低程式碼/無程式碼平台提供視覺化、直覺的介面和預先配置的建置模組，即使程式設計技能極少甚至完全沒有程式設計技能的開發人員也能開發和部署基於 AI 的高級影像處理應用程式。這將推動 AI影像處理技術的普及化，降低非 AI 專家的進入門檻，促進快速原型製作，並在各行業中得到更廣泛的應用。
• 邊緣 AI 整合，實現即時處理：將 AI 功能直接嵌入邊緣設備（攝影機、工業感測器、醫療設備等）進行即時智慧影像分析的趨勢日益成長。開發平台提供工具和框架來最佳化 AI 模型，使其能夠在資源有限的邊緣硬體上部署，這種做法正變得越來越普遍。其優勢包括更快的處理速度、更低的延遲、透過本地資料處理增強隱私保護，以及促進自主系統和工業自動化等應用中的即時決策。
• 聯邦學習用於隱私保護模型訓練：聯邦學習正成為智慧成像開發的主要趨勢之一，尤其是在醫療保健等隱私關鍵型應用中。這種方法允許從去中心化資料訓練人工智慧模型，而無需暴露原始圖像資料，保護患者隱私和資料安全。開發平台開始包含聯邦學習框架和工具。因此，它有可能在不違反嚴格隱私法規的情況下，從去中心化資料建立強大的人工智慧模型，促進跨機構協作。
• 可解釋人工智慧（XAI）建構信任與透明度：隨著智慧成像系統在關鍵任務應用中的應用日益廣泛，對人工智慧決策的透明度和可解釋性的需求也日益成長。新平台包含可解釋人工智慧（XAI）方法，可解釋人工智慧模型產生特定預測的原因。這將增強人們對基於人工智慧的影像處理系統的信任度和課責，更佳理解和檢驗模型行為，尤其是在醫療保健和金融等受監管領域。
• 多模態資料融合，實現更深入的分析：如今，越來越多的平台將影像資料與其他模態資料（例如文字、感測器資料和時間序列資料）融合，以實現更全面、更深入的分析。開發平台為開發人員提供了整合、同步和整合不同資料流到人工智慧處理中的工具。其效果是，能夠更深入地理解情境，在診斷和預測性維護等業務中實現更高的準確性，並透過整合互補的資訊來源，提升應對更複雜挑戰的能力。

這些新趨勢可望重塑智慧成像平台市場，提升人工智慧成像的可及性、效率、隱私保護、透明度和洞察力。低程式碼/無程式碼、邊緣人工智慧、聯邦學習、可伸縮人工智慧（XAI）和多模態資料融合的重視，向更多人開放高階影像分析，並拓展其在各行各業的應用範圍。

智慧影像開發平台市場的最新趨勢

智慧視覺開發平台市場經歷快速創新，致力於提高開發人員的生產力、最佳化模型性能以及簡化智慧視覺解決方案的部署。

• 改進的預訓練模型和模型庫：最近的創新為特定的影像處理應用（例如，物件偵測、影像分割、分類等）提供了更先進、更多樣化的預訓練人工智慧模型。平台供應商還維護全面的模型庫，以幫助開發人員利用現有模型並針對專門的應用進行調整，最大限度地減少訓練時間和資源。
• 增強的資料註解工具和工作流程：高效有效的資料註解對於訓練高效的AI模型非常重要。每個平台都提供了更強大的註釋工具，包括自動標記支援、協作註釋工作流程以及對多種註釋類型（例如邊界框、多邊形、語義分割）的支援。這些增強功能使資料準備過程（AI開發中的一個主要瓶頸）更有效率。
• 簡化的超參數調優和模型訓練：開發平台添加更直覺的介面和自動化工具，用於超參數調優和模型訓練。自動化機器學習（Autum）功能有助於發現最佳的模型架構和超參數，使開發人員能夠更輕鬆地找到高效能模型，而無需手動試驗。
• 靈活的部署選項和基礎設施支援：該平台提供更靈活的部署選項，支援在雲端基礎設施、本地伺服器和邊緣設備上部署，並改進與多種硬體加速器（GPU、TPU等）的整合，以提高各種部署環境中的模型推理性能。
• 廣泛的SDK 和 API 用於整合：智慧成像開發平台提供廣泛的軟體開發套件（SDK）和應用程式介面（API），使開發人員能夠輕鬆地將智慧成像功能融入他們的應用程式和工作流程中，實現與各種程式語言和開發環境的順暢整合。

這些突破性技術可以加快開發週期，提高AI模型的效能和準確性，更容易在各種環境中部署，並且更容易將智慧成像功能整合到更多樣化的應用中，從根本上改變智慧成像開發平台市場。

目錄

第1章 執行摘要

第2章 全球智慧影像開發平台市場：市場動態

• 簡介、背景和分類
• 供應鏈
• 產業驅動力與挑戰

第3章 市場趨勢與預測分析（2019-2031）

• 宏觀經濟趨勢（2019-2024）及預測（2025-2031）
• 全球智慧影像開發平台市場趨勢（2019-2024）及預測（2025-2031）
• 全球智慧型影像開發平台市場（依類型）
  • 通用平台
  • 業界客製化平台
• 全球智慧型影像開發平台市場（依應用）
  • 醫療保健
  • 產業
  • 農業
  • 教育

第4章 區域市場趨勢與預測分析（2019-2031）

• 依地區
• 北美洲
• 歐洲
• 亞太地區
• 其他地區

第5章 競爭分析

• 產品系列分析
• 運作整合
• 波特五力分析

第6章 成長機會與策略分析

• 成長機會分析
  • 依類型
  • 依用途
  • 依地區
• 全球智慧影像開發平台市場的新趨勢
• 戰略分析
  • 新產品開發
  • 擴大全球智慧影像開發平台市場容量
  • 全球智慧成像開發平台市場的併購和合資企業
  • 認證和許可

第7章 主要企業簡介

• Siemens Healthineers
• GE Healthcare
• Philips Healthcare
• United Imaging Intelligence
• Infervision
• Deepwise
• SenseTime
• Megvii
• YITU Technology
• Hikvision

The future of the global intelligent imaging development platform market looks promising with opportunities in the medical, industrial, agriculture, and education markets. The global intelligent imaging development platform market is expected to grow with a CAGR of 14% from 2025 to 2031. The major drivers for this market are the rising demand for advanced medical imaging solutions, and the growing integration of AI & machine learning in imaging technologies.

• Lucintel forecasts that, within the type category, general platform is expected to witness higher growth over the forecast period.
• Within the application category, medical is expected to witness the highest growth.
• In terms of region, APAC is expected to witness the highest growth over the forecast period.

Emerging Trends in the Intelligent Imaging Development Platform Market

The intelligent imaging development platform market is rapidly evolving due to advances in artificial intelligence, cloud computing, and the expanding need for intelligent visual data analysis in industries. These emerging trends are defining the future of intelligent imaging solution building and deployment.

• Low-Code/No-Code Platforms for Democratizing AI Imaging: One prominent trend is the emergence of low-code/no-code intelligent imaging development platforms. Low-code/no-code platforms offer visual, intuitive interfaces and pre-configured building blocks that enable the development and deployment of advanced AI-based imaging applications by developers with minimal or no programming skills. The effect is democratization of AI imaging technology, facilitating quicker prototyping and broader adoption in multiple industries by lowering the entry obstacle for non-AI experts.
• Edge AI Integration for Real-Time Processing: Increasingly, there is a move toward bringing AI capabilities directly into edge devices (e.g., cameras, industrial sensors, medical equipment) for real-time intelligent image analysis. Development platforms are more commonly providing tools and frameworks to optimize AI models for deployment on resource-limited edge hardware. The effects include quicker processing speeds, lower latency, increased privacy through local processing of data, and the facilitation of real-time decision-making in applications such as autonomous systems and industrial automation.
• Federated Learning for Privacy-Preserving Model Training: Federated learning is becoming one of the main trends in intelligent imaging development, especially within privacy-critical applications such as healthcare. This method enables training AI models from decentralized data without exposing raw image data, maintaining patient privacy and data security. Development platforms are beginning to include federated learning frameworks and tools. The result is the possibility of constructing strong AI models from distributed data without violating strict privacy regulations and promoting collaboration among institutions.
• Explainable AI (XAI) for Building Trust and Transparency: As smart imaging systems are being used in mission-critical applications, the requirement for transparency and interpretability of AI decisions is increasing. New platforms are including Explainable AI (XAI) methods that offer explanations on why an AI model generated a specific prediction. The effect is greater trust and accountability in AI-based imaging systems, enabling enhanced understanding and verification of model behavior, particularly in regulated sectors such as healthcare and finance.
• Multimodal Data Fusion for More Insightful Analysis: There is an increasing trend towards platforms that enable fusion of imaging data with other modalities of data, including text, sensor data, and time-series data, to provide more holistic and insightful analysis. Development platforms are giving developers tools for integrating and synchronizing various streams of data into combined AI processing. The effects are richer context understanding, greater accuracy in operations such as diagnostics and predictive maintenance, and greater ability to handle more complex challenges by combining complementary sources of information.

These new trends in total are remaking the intelligent imaging development platform market by increasing access to AI imaging, its efficiency, privacy safeguards, transparency, and insights. The emphasis on low-code/no-code, edge AI, federated learning, XAI, and multimodal data fusion is opening advanced imaging analytics to wider audiences and broadening where they can be applied across industries.

Recent Developments in the Intelligent Imaging Development Platform Market

The intelligent imaging development platform market is seeing high-speed innovations centered on making developers more productive, optimizing model performance, and making intelligent imaging solutions deploy effortlessly.

• Pre-trained models and Model Zoos Improved: Latest advancements involve offering more advanced and varied pre-trained AI models for specific imaging applications (e.g., object detection, image segmentation, classification). Platform vendors also maintain comprehensive model zoos through which developers can take advantage of pre-existing models and tune them to specialized applications, minimally cutting training time and resources.
• Enhanced Data Annotation Tools and Workflows: Effective and efficient data annotation is important for training effective AI models. Platforms are providing better annotation tools with capabilities such as automated labeling support, collaborative annotation workflows, and support for multiple types of annotations (e.g., bounding boxes, polygons, semantic segmentation). These enhancements make the data preparation process more efficient, a major bottleneck in AI development.
• Hyperparameter Tuning and Model Training Simplified: Development platforms are adding more intuitive interfaces and automated tools for hyperparameter tuning and model training. Automated machine learning (Autum) features are making it simpler to discover best-performing model architectures and hyperparameters, so developers can find high-performing models more easily without manual trial and error.
• Flexible Deployment Options and Infrastructure Support: Platforms are providing more flexible deployment options and supporting deployment on cloud infrastructure, on-premise servers, and edge devices. They are also improving integration with multiple hardware accelerators (e.g., GPUs, TPUs) to improve model inference performance in different deployment environments.
• Extensive SDKs and APIs for Integration: Intelligent image development platforms are offering extensive Software Development Kits (SDKs) and Application Programming Interfaces (APIs) enabling developers to incorporate intelligent imaging features into their applications and workflows with ease. These enable smooth integration with a range of programming languages and development environments.

These breakthroughs are fundamentally transforming the intelligent imaging development platform market by speeding up the development cycle, enhancing the performance and accuracy of AI models, making deployment across various environments easier, and allowing for simpler integration of intelligent imaging functions into more varied applications.

Strategic Growth Opportunities in the Intelligent Imaging Development Platform Market

The intelligent imaging development platform market offers various strategic growth opportunities through its addressability of unique demands in several different application segments where intelligent image processing is rapidly emerging as an imperative necessity.

• Healthcare Diagnostics and Imaging: One of the most promising growth areas is delivering specialized platforms for medical image analysis, such as radiology, pathology, and ophthalmology. These platforms can provide pre-trained models for disease detection, segmentation tools for medical images, and compliance features for managing sensitive patient data, facilitating quicker and more accurate diagnoses.
• Automation and Industrial Quality Inspection: Smart imaging platforms can be customized for manufacturing sectors to automate visual inspection of quality, identify defects in products, and control robotic systems for automation. Opportunities for growth include offering software for integrating with industrial cameras, creating custom models for defect detection, and implementing robustness and reliability in adverse industrial environments.
• Security and Surveillance: There is a huge and increasing demand for intelligent video analytics in surveillance and security. Solutions that have features such as object detection, facial recognition, anomaly detection, and real-time event analysis have huge growth potential for improving situational awareness and enhancing security systems.
• Autonomous Vehicles and Robotics: Autonomous vehicle and robotics development is highly dependent on intelligent image processing for perception and navigation. Platforms that offer tools for sensor fusion, object tracking, scene understanding, and real-time processing on embedded systems have significant growth opportunities in this fast-growing market.
• Retail Analytics and Customer Experience: Intelligent imaging can be applied to retail for purposes such as product recognition, shelf monitoring, customer behavior analysis, and personalized recommendations. Opportunities for growth lie in creating platforms that are integrated with in-store cameras, offer real-time analytics dashboards, and improve the customer shopping experience.

These strategic growth areas point to the prospects of the intelligent imaging development platform market to grow by targeting the distinctive needs of healthcare, industrial automation, security, autonomous systems, and retail analytics. Platform customization and domain-specific tools and pre-trained models can open up enormous value and market share in these high-growth use cases.

Intelligent Imaging Development Platform Market Driver and Challenges

The intelligent imaging development platform market is driven by the convergence of advances in technology, the expanding demand for intelligent automation, and growing image data availability. Yet there are some challenges that must be overcome for its long-term and widespread adoption.

The factors responsible for driving the intelligent imaging development platform market include:

1. Growing Availability of Image Data: The advent of digital cameras, sensors, and the internet has resulted in an exponential growth in the amount of image and video data, giving rise to a huge requirement for tools that can analyze and extract useful insights from this visual data.

2. Developments in Artificial Intelligence and Machine Learning: Sustained advancements in AI and ML algorithms, especially deep learning, have dramatically enhanced the precision and functionality of intelligent imaging systems, creating demand for platforms that support their development and deployment.

3. Increasing Need for Automation Across Industries: Companies across industries are seeking to automate processes and tasks through intelligent imaging for enhanced efficiency, quality control, and cost savings.

4. Cloud Computing Infrastructure and Scalability: Access to scalable and strong cloud computing infrastructure offers the computational power and storage required to train and deploy sophisticated AI models for intelligent imaging applications.

5. Democratization of AI Development Tools: The introduction of easy-to-use development platforms and pre-trained models is bringing AI within reach of more developers and organizations, driving the pace of adoption of intelligent imaging technologies.

Challenges in the intelligent imaging development platform market are:

1. Data Annotation Bottleneck and Quality: Training effective AI models requires large amounts of accurately labeled image data. The process of annotating data can be cumbersome, costly, and error-prone, constituting a major bottleneck to developers.

2. Complexity of Model Development and Expertise Gap: Developing and tuning high-performing AI models for smart imaging tasks generally necessitates specialized machine learning expertise and knowledge, which can be an impediment for organizations lacking abundant AI skills.

3. Ethical Issues and Bias in AI Systems: Smart imaging systems may incidentally reinforce or exacerbate bias in the training data, thus resulting in unequal or discriminatory effects. Resolving ethical issues and guaranteeing equity and transparency in AI systems is a key issue.

The intelligent imaging development platform market is witnessing robust growth fueled by growing image data availability, AI/ML advancements, the need for automation, the scalability of cloud computing, and the democratization of AI tools. These factors are building a fertile ground for intelligent imaging solution development and adoption. But, data annotation bottlenecks challenges, model development complexity and expertise gap, and ethical issues surrounding bias in AI models must be addressed efficiently in order to guarantee the safe and widespread adoption of this revolutionary technology. Conquering these issues will be important to unleashing the full potential of the intelligent imaging development platform market.

List of Intelligent Imaging Development Platform Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies intelligent imaging development platform companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the intelligent imaging development platform companies profiled in this report include-

• Siemens Healthineers
• GE Healthcare
• Philips Healthcare
• United Imaging Intelligence
• Infervision
• Deepwise
• SenseTime
• Megvii
• YITU Technology
• Hikvision

Intelligent Imaging Development Platform Market by Segment

The study includes a forecast for the global intelligent imaging development platform market by type, application, and region.

Intelligent Imaging Development Platform Market by Type [Value from 2019 to 2031]:

• General Platform
• Industry Customized Platform

Intelligent Imaging Development Platform Market by Application [Value from 2019 to 2031]:

• Medical
• Industrial
• Agriculture
• Education

Intelligent Imaging Development Platform Market by Region [Value from 2019 to 2031]:

• North America
• Europe
• Asia Pacific
• The Rest of the World

Country Wise Outlook for the Intelligent Imaging Development Platform Market

The intelligent imaging development platform market are characterized by increased demand for products that ease the process of integrating artificial intelligence and machine learning into imaging solutions. The platforms offer developers pre-configured functionalities, libraries, and APIs to speed up the development of intelligent imaging solutions in various industries such as healthcare, security, manufacturing, and autonomous vehicles. The emphasis is on democratizing access to sophisticated imaging analytics, allowing for quicker prototyping, and streamlining deployment of advanced image recognition, analysis, and interpretation capabilities. Cloud-based offerings and the access to vast datasets are also driving innovation in this rapidly evolving market.

• United States: The US market is experiencing heavy action in the space of intelligent imaging development platforms with high activity being driven by an active AI startup ecosystem and long-established technology titans. Latest trends and advances involve the proliferation of cloud-based platforms that provide integrated suites of tools for image annotation, model training, and deployment. Strong focus is given towards building platforms with industry-specific solutions, and this includes medical imaging and autonomous driving. Partnerships between research institutions and platform providers are also driving innovation.
• China: The market for China's intelligent imaging development platforms is growing very fast, driven by the government's vigorous promotion of AI implementation and enormous volumes of image data being created in a wide range of industries. Recent activities involve the appearance of a number of local platforms providing comparable functionality and inducing computer vision-related applications in security, intelligent cities, and industrial manufacturing. National independence in AI technologies is creating strong pressure for investing heavily in local platform development.
• Germany: Germany's strategy for the intelligent imaging development platform market is focused on industrial use and high-precision imaging. The focus has been on adapting AI to existing industrial systems for quality inspection, predictive maintenance, and automation. A strong focus on data privacy and security has resulted in the creation of platforms that are compliant with strict European regulations. Interactions between research institutions and industry partners are important for fueling innovation in this area.
• India: The market for intelligent imaging development platforms in India is in the growth stage, fueled by growing digitization in industries and a large pool of available AI talent. Recent trends are the appearance of local start-ups that provide AI-based imaging solutions and adoption of international platforms by Indian companies. The most significant areas of application are healthcare, agriculture, and security. Emphasis is on creating cost-effective and scalable solutions to meet the unique requirements of the Indian market.
• Japan: Japan's smart imaging development platform market is distinguished by high imaging quality and precision in industries such as manufacturing and healthcare. Advances recently have incorporated AI with the latest imaging hardware to improve diagnosis capabilities and simplify quality inspection routines. Reliability and safety play a significant part in driving developments, with developers seeking to develop highly tested and solid platforms. There is increased collaboration between industry, academia and government is fostering innovation in this market.

Features of the Global Intelligent Imaging Development Platform Market

Market Size Estimates: Intelligent imaging development platform market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2019 to 2024) and forecast (2025 to 2031) by various segments and regions.

Segmentation Analysis: Intelligent imaging development platform market size by type, application, and region in terms of value ($B).

Regional Analysis: Intelligent imaging development platform market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different type, application, and regions for the intelligent imaging development platform market.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of the intelligent imaging development platform market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

This report answers following 11 key questions:

• Q.1. What are some of the most promising, high-growth opportunities for the intelligent imaging development platform market by type (general platform and industry customized platform), application (medical, industrial, agriculture, and education), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
• Q.2. Which segments will grow at a faster pace and why?
• Q.3. Which region will grow at a faster pace and why?
• Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
• Q.5. What are the business risks and competitive threats in this market?
• Q.6. What are the emerging trends in this market and the reasons behind them?
• Q.7. What are some of the changing demands of customers in the market?
• Q.8. What are the new developments in the market? Which companies are leading these developments?
• Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
• Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
• Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

Table of Contents

1. Executive Summary

2. Global Intelligent Imaging Development Platform Market : Market Dynamics

• 2.1: Introduction, Background, and Classifications
• 2.2: Supply Chain
• 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2019 to 2031

• 3.1. Macroeconomic Trends (2019-2024) and Forecast (2025-2031)
• 3.2. Global Intelligent Imaging Development Platform Market Trends (2019-2024) and Forecast (2025-2031)
• 3.3: Global Intelligent Imaging Development Platform Market by Type
  • 3.3.1: General Platform
  • 3.3.2: Industry Customized Platform
• 3.4: Global Intelligent Imaging Development Platform Market by Application
  • 3.4.1: Medical
  • 3.4.2: Industrial
  • 3.4.3: Agriculture
  • 3.4.4: Education

4. Market Trends and Forecast Analysis by Region from 2019 to 2031

• 4.1: Global Intelligent Imaging Development Platform Market by Region
• 4.2: North American Intelligent Imaging Development Platform Market
  • 4.2.1: North American Market by Type: General Platform and Industry Customized Platform
  • 4.2.2: North American Market by Application: Medical, Industrial, Agriculture, and Education
• 4.3: European Intelligent Imaging Development Platform Market
  • 4.3.1: European Market by Type: General Platform and Industry Customized Platform
  • 4.3.2: European Market by Application: Medical, Industrial, Agriculture, and Education
• 4.4: APAC Intelligent Imaging Development Platform Market
  • 4.4.1: APAC Market by Type: General Platform and Industry Customized Platform
  • 4.4.2: APAC Market by Application: Medical, Industrial, Agriculture, and Education
• 4.5: ROW Intelligent Imaging Development Platform Market
  • 4.5.1: ROW Market by Type: General Platform and Industry Customized Platform
  • 4.5.2: ROW Market by Application: Medical, Industrial, Agriculture, and Education

5. Competitor Analysis

• 5.1: Product Portfolio Analysis
• 5.2: Operational Integration
• 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

• 6.1: Growth Opportunity Analysis
  • 6.1.1: Growth Opportunities for the Global Intelligent Imaging Development Platform Market by Type
  • 6.1.2: Growth Opportunities for the Global Intelligent Imaging Development Platform Market by Application
  • 6.1.3: Growth Opportunities for the Global Intelligent Imaging Development Platform Market by Region
• 6.2: Emerging Trends in the Global Intelligent Imaging Development Platform Market
• 6.3: Strategic Analysis
  • 6.3.1: New Product Development
  • 6.3.2: Capacity Expansion of the Global Intelligent Imaging Development Platform Market
  • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Intelligent Imaging Development Platform Market
  • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

• 7.1: Siemens Healthineers
• 7.2: GE Healthcare
• 7.3: Philips Healthcare
• 7.4: United Imaging Intelligence
• 7.5: Infervision
• 7.6: Deepwise
• 7.7: SenseTime
• 7.8: Megvii
• 7.9: YITU Technology
• 7.10: Hikvision