Selected research
Market Analysis & Forecast
Global Medical AI-assisted Diagnosis Market Analysis and Forecast 2026-2032
Market perspective
The global Medical AI-assisted Diagnosis market is projected to grow from US$ million in 2026 to US$ million by 2032, at a Compound Annual Growth Rate (CAGR) of % during the forecast period.
The North America market for Medical AI-assisted Diagnosis is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
Europe market for Medical AI-assisted Diagnosis is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
Read the full market overview
Asia-Pacific market for Medical AI-assisted Diagnosis is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
The China market for Medical AI-assisted Diagnosis is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
The major global companies of Medical AI-assisted Diagnosis include Sense Time, United Imaging, Huiying Medical, Yizhun, BioMind, Shukun, Lepu Medical, Infervision and NeuMiva, etc. In 2025, the world's top three vendors accounted for approximately % of the revenue.
Report Includes
This report presents an overview of global market for Medical AI-assisted Diagnosis, market size. Analyses of the global market trends, with historic market revenue data for 2021 - 2025, estimates for 2026, and projections of CAGR through 2032.
This report researches the key producers of Medical AI-assisted Diagnosis, also provides the revenue of main regions and countries. Of the upcoming market potential for Medical AI-assisted Diagnosis, and key regions or countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the Medical AI-assisted Diagnosis revenue, market share and industry ranking of main manufacturers, data from 2021 to 2026. Identification of the major stakeholders in the global Medical AI-assisted Diagnosis market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2021 to 2032. Evaluation and forecast the market size for Medical AI-assisted Diagnosis revenue, projected growth trends, production technology, application and end-user industry.
Medical AI-assisted Diagnosis Segment by Company
Sense Time
United Imaging
Huiying Medical
Yizhun
BioMind
Shukun
Lepu Medical
Infervision
NeuMiva
Baidu Lingyi
Tencent Health
Deepwise
VoxelCloud
Wision
ZHENHEALTH
G K Healthcare
Medical AI-assisted Diagnosis Segment by Type
Lung AI-assisted Diagnosis
Bone AI-assisted Diagnosis
Cardiovascular and Cerebrovascular AI-assisted Diagnosis
Breast AI-assisted Diagnosis
Ophthalmic AI-assisted Diagnosis
Other AI-assisted Diagnosis
Medical AI-assisted Diagnosis Segment by Application
Hospital
Clinic
Imaging Center
Medical AI-assisted Diagnosis Segment by Region
North America
United States
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Spain
Netherlands
Switzerland
Sweden
Poland
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Middle East & Africa
Egypt
South Africa
Israel
Türkiye
GCC Countries
Study Objectives
1. To analyze and research the global status and future forecast, involving growth rate (CAGR), market share, historical and forecast.
2. To present the key players, revenue, market share, and Recent Developments.
3. To split the breakdown data by regions, type, manufacturers, and Application.
4. To analyze the global and key regions market potential and advantage, opportunity and challenge, restraints, and risks.
5. To identify significant trends, drivers, influence factors in global and regions.
6. To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
Reasons to Buy This Report
1. This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global Medical AI-assisted Diagnosis market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
2. This report will help stakeholders to understand the global industry status and trends of Medical AI-assisted Diagnosis and provides them with information on key market drivers, restraints, challenges, and opportunities.
3. This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in market size), competitor ecosystem, new product development, expansion, and acquisition.
4. This report stays updated with novel technology integration, features, and the latest developments in the market.
5. This report helps stakeholders to gain insights into which regions to target globally.
6. This report helps stakeholders to gain insights into the end-user perception concerning the adoption of Medical AI-assisted Diagnosis.
7. This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Revenue of Medical AI-assisted Diagnosis in global and regional level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 4: Detailed analysis of Medical AI-assisted Diagnosis company competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 5: Provides the analysis of various market segments by type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 6: Provides the analysis of various market segments by application, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 7: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Medical AI-assisted Diagnosis revenue, gross margin, and recent development, etc.
Chapter 8: North America by type, by application and by country, revenue for each segment.
Chapter 9: Europe by type, by application and by country, revenue for each segment.
Chapter 10: China type, by application, revenue for each segment.
Chapter 11: Asia (excluding China) type, by application and by region, revenue for each segment.
Chapter 12: South America, Middle East and Africa by type, by application and by country, revenue for each segment.
Chapter 13: The main concluding insights of the report.
More report detail
Tables and figures
Scope & coverage.
Types
- Lung AI-assisted Diagnosis
- Bone AI-assisted Diagnosis
- Cardiovascular and Cerebrovascular AI-assisted Diagnosis
- Breast AI-assisted Diagnosis
- Ophthalmic AI-assisted Diagnosis
- Other AI-assisted Diagnosis
Applications
- Hospital
- Clinic
- Imaging Center
Companies covered
- Sense Time
- United Imaging
- Huiying Medical
- Yizhun
- BioMind
- Shukun
- Lepu Medical
- Infervision
- NeuMiva
- Baidu Lingyi
- Tencent Health
- Deepwise
- VoxelCloud
- Wision
- ZHENHEALTH
- G K Healthcare
Inside the report.
1 Market Overview
- 1.1 Product Definition
- 1.2 Medical AI-assisted Diagnosis Market by Type
- 1.2.1 Global Medical AI-assisted Diagnosis Market Size by Type, 2021 VS 2025 VS 2032
- 1.2.2 Lung AI-assisted Diagnosis
- 1.2.3 Bone AI-assisted Diagnosis
- 1.2.4 Cardiovascular and Cerebrovascular AI-assisted Diagnosis
- 1.2.5 Breast AI-assisted Diagnosis
- 1.2.6 Ophthalmic AI-assisted Diagnosis
- 1.2.7 Other AI-assisted Diagnosis
- 1.3 Medical AI-assisted Diagnosis Market by Application
- 1.3.1 Global Medical AI-assisted Diagnosis Market Size by Application, 2021 VS 2025 VS 2032
- 1.3.2 Hospital
- 1.3.3 Clinic
- 1.3.4 Imaging Center
- 1.4 Assumptions and Limitations
- 1.5 Study Goals and Objectives
2 Medical AI-assisted Diagnosis Market Dynamics
- 2.1 Medical AI-assisted Diagnosis Industry Trends
- 2.2 Medical AI-assisted Diagnosis Industry Drivers
- 2.3 Medical AI-assisted Diagnosis Industry Opportunities and Challenges
- 2.4 Medical AI-assisted Diagnosis Industry Restraints
3 Global Growth Perspective
- 3.1 Global Medical AI-assisted Diagnosis Market Perspective (2021-2032)
- 3.2 Global Medical AI-assisted Diagnosis Growth Trends by Region
- 3.2.1 Global Medical AI-assisted Diagnosis Market Size by Region: 2021 VS 2025 VS 2032
- 3.2.2 Global Medical AI-assisted Diagnosis Market Size by Region (2021-2026)
- 3.2.3 Global Medical AI-assisted Diagnosis Market Size by Region (2027-2032)
4 Competitive Landscape by Players
- 4.1 Global Medical AI-assisted Diagnosis Revenue by Players
- 4.1.1 Global Medical AI-assisted Diagnosis Revenue by Players (2021-2026)
- 4.1.2 Global Medical AI-assisted Diagnosis Revenue Market Share by Players (2021-2026)
- 4.1.3 Global Medical AI-assisted Diagnosis Players Revenue Share Top 10 and Top 5 in 2025
- 4.2 Global Medical AI-assisted Diagnosis Key Players Ranking, 2024 VS 2025 VS 2026
- 4.3 Global Medical AI-assisted Diagnosis Key Players Headquarters & Area Served
- 4.4 Global Medical AI-assisted Diagnosis Players, Product Type & Application
- 4.5 Global Medical AI-assisted Diagnosis Players Establishment Date
- 4.6 Market Competitive Analysis
- 4.6.1 Global Medical AI-assisted Diagnosis Market CR5 and HHI
- 4.6.3 2025 Medical AI-assisted Diagnosis Tier 1, Tier 2, and Tier 3
5 Medical AI-assisted Diagnosis Market Size by Type
- 5.1 Global Medical AI-assisted Diagnosis Revenue by Type (2021 VS 2025 VS 2032)
- 5.2 Global Medical AI-assisted Diagnosis Revenue by Type (2021-2032)
- 5.3 Global Medical AI-assisted Diagnosis Revenue Market Share by Type (2021-2032)
6 Medical AI-assisted Diagnosis Market Size by Application
- 6.1 Global Medical AI-assisted Diagnosis Revenue by Application (2021 VS 2025 VS 2032)
- 6.2 Global Medical AI-assisted Diagnosis Revenue by Application (2021-2032)
- 6.3 Global Medical AI-assisted Diagnosis Revenue Market Share by Application (2021-2032)
7 Company Profiles
- 7.1 Sense Time
- 7.1.1 Sense Time Company Information
- 7.1.2 Sense Time Business Overview
- 7.1.3 Sense Time Medical AI-assisted Diagnosis Revenue and Gross Margin (2021-2026)
- 7.1.4 Sense Time Medical AI-assisted Diagnosis Product Portfolio
- 7.1.5 Sense Time Recent Developments
- 7.2 United Imaging
- 7.2.1 United Imaging Company Information
- 7.2.2 United Imaging Business Overview
- 7.2.3 United Imaging Medical AI-assisted Diagnosis Revenue and Gross Margin (2021-2026)
- 7.2.4 United Imaging Medical AI-assisted Diagnosis Product Portfolio
- 7.2.5 United Imaging Recent Developments
- 7.3 Huiying Medical
- 7.3.1 Huiying Medical Company Information
- 7.3.2 Huiying Medical Business Overview
- 7.3.3 Huiying Medical Medical AI-assisted Diagnosis Revenue and Gross Margin (2021-2026)
- 7.3.4 Huiying Medical Medical AI-assisted Diagnosis Product Portfolio
- 7.3.5 Huiying Medical Recent Developments
- 7.4 Yizhun
- 7.4.1 Yizhun Company Information
- 7.4.2 Yizhun Business Overview
- 7.4.3 Yizhun Medical AI-assisted Diagnosis Revenue and Gross Margin (2021-2026)
- 7.4.4 Yizhun Medical AI-assisted Diagnosis Product Portfolio
- 7.4.5 Yizhun Recent Developments
- 7.5 BioMind
- 7.5.1 BioMind Company Information
- 7.5.2 BioMind Business Overview
- 7.5.3 BioMind Medical AI-assisted Diagnosis Revenue and Gross Margin (2021-2026)
- 7.5.4 BioMind Medical AI-assisted Diagnosis Product Portfolio
- 7.5.5 BioMind Recent Developments
- 7.6 Shukun
- 7.6.1 Shukun Company Information
- 7.6.2 Shukun Business Overview
- 7.6.3 Shukun Medical AI-assisted Diagnosis Revenue and Gross Margin (2021-2026)
- 7.6.4 Shukun Medical AI-assisted Diagnosis Product Portfolio
- 7.6.5 Shukun Recent Developments
- 7.7 Lepu Medical
- 7.7.1 Lepu Medical Company Information
- 7.7.2 Lepu Medical Business Overview
- 7.7.3 Lepu Medical Medical AI-assisted Diagnosis Revenue and Gross Margin (2021-2026)
- 7.7.4 Lepu Medical Medical AI-assisted Diagnosis Product Portfolio
- 7.7.5 Lepu Medical Recent Developments
- 7.8 Infervision
- 7.8.1 Infervision Company Information
- 7.8.2 Infervision Business Overview
- 7.8.3 Infervision Medical AI-assisted Diagnosis Revenue and Gross Margin (2021-2026)
- 7.8.4 Infervision Medical AI-assisted Diagnosis Product Portfolio
- 7.8.5 Infervision Recent Developments
- 7.9 NeuMiva
- 7.9.1 NeuMiva Company Information
- 7.9.2 NeuMiva Business Overview
- 7.9.3 NeuMiva Medical AI-assisted Diagnosis Revenue and Gross Margin (2021-2026)
- 7.9.4 NeuMiva Medical AI-assisted Diagnosis Product Portfolio
- 7.9.5 NeuMiva Recent Developments
- 7.10 Baidu Lingyi
- 7.10.1 Baidu Lingyi Company Information
- 7.10.2 Baidu Lingyi Business Overview
- 7.10.3 Baidu Lingyi Medical AI-assisted Diagnosis Revenue and Gross Margin (2021-2026)
- 7.10.4 Baidu Lingyi Medical AI-assisted Diagnosis Product Portfolio
- 7.10.5 Baidu Lingyi Recent Developments
- 7.11 Tencent Health
- 7.11.1 Tencent Health Company Information
- 7.11.2 Tencent Health Business Overview
- 7.11.3 Tencent Health Medical AI-assisted Diagnosis Revenue and Gross Margin (2021-2026)
- 7.11.4 Tencent Health Medical AI-assisted Diagnosis Product Portfolio
- 7.11.5 Tencent Health Recent Developments
- 7.12 Deepwise
- 7.12.1 Deepwise Company Information
- 7.12.2 Deepwise Business Overview
- 7.12.3 Deepwise Medical AI-assisted Diagnosis Revenue and Gross Margin (2021-2026)
- 7.12.4 Deepwise Medical AI-assisted Diagnosis Product Portfolio
- 7.12.5 Deepwise Recent Developments
- 7.13 VoxelCloud
- 7.13.1 VoxelCloud Company Information
- 7.13.2 VoxelCloud Business Overview
- 7.13.3 VoxelCloud Medical AI-assisted Diagnosis Revenue and Gross Margin (2021-2026)
- 7.13.4 VoxelCloud Medical AI-assisted Diagnosis Product Portfolio
- 7.13.5 VoxelCloud Recent Developments
- 7.14 Wision
- 7.14.1 Wision Company Information
- 7.14.2 Wision Business Overview
- 7.14.3 Wision Medical AI-assisted Diagnosis Revenue and Gross Margin (2021-2026)
- 7.14.4 Wision Medical AI-assisted Diagnosis Product Portfolio
- 7.14.5 Wision Recent Developments
- 7.15 ZHENHEALTH
- 7.15.1 ZHENHEALTH Company Information
- 7.15.2 ZHENHEALTH Business Overview
- 7.15.3 ZHENHEALTH Medical AI-assisted Diagnosis Revenue and Gross Margin (2021-2026)
- 7.15.4 ZHENHEALTH Medical AI-assisted Diagnosis Product Portfolio
- 7.15.5 ZHENHEALTH Recent Developments
- 7.16 G K Healthcare
- 7.16.1 G K Healthcare Company Information
- 7.16.2 G K Healthcare Business Overview
- 7.16.3 G K Healthcare Medical AI-assisted Diagnosis Revenue and Gross Margin (2021-2026)
- 7.16.4 G K Healthcare Medical AI-assisted Diagnosis Product Portfolio
- 7.16.5 G K Healthcare Recent Developments
8 North America
- 8.1 North America Medical AI-assisted Diagnosis Revenue (2021-2032)
- 8.2 North America Medical AI-assisted Diagnosis Revenue by Type (2021-2032)
- 8.2.1 North America Medical AI-assisted Diagnosis Revenue by Type (2021-2026)
- 8.2.2 North America Medical AI-assisted Diagnosis Revenue by Type (2027-2032)
- 8.3 North America Medical AI-assisted Diagnosis Revenue Share by Type (2021-2032)
- 8.4 North America Medical AI-assisted Diagnosis Revenue by Application (2021-2032)
- 8.4.1 North America Medical AI-assisted Diagnosis Revenue by Application (2021-2026)
- 8.4.2 North America Medical AI-assisted Diagnosis Revenue by Application (2027-2032)
- 8.5 North America Medical AI-assisted Diagnosis Revenue Share by Application (2021-2032)
- 8.6 North America Medical AI-assisted Diagnosis Revenue by Country
- 8.6.1 North America Medical AI-assisted Diagnosis Revenue by Country (2021 VS 2025 VS 2032)
- 8.6.2 North America Medical AI-assisted Diagnosis Revenue by Country (2021-2026)
- 8.6.3 North America Medical AI-assisted Diagnosis Revenue by Country (2027-2032)
- 8.6.4 United States
- 8.6.5 Canada
- 8.6.6 Mexico
9 Europe
- 9.1 Europe Medical AI-assisted Diagnosis Revenue (2021-2032)
- 9.2 Europe Medical AI-assisted Diagnosis Revenue by Type (2021-2032)
- 9.2.1 Europe Medical AI-assisted Diagnosis Revenue by Type (2021-2026)
- 9.2.2 Europe Medical AI-assisted Diagnosis Revenue by Type (2027-2032)
- 9.3 Europe Medical AI-assisted Diagnosis Revenue Share by Type (2021-2032)
- 9.4 Europe Medical AI-assisted Diagnosis Revenue by Application (2021-2032)
- 9.4.1 Europe Medical AI-assisted Diagnosis Revenue by Application (2021-2026)
- 9.4.2 Europe Medical AI-assisted Diagnosis Revenue by Application (2027-2032)
- 9.5 Europe Medical AI-assisted Diagnosis Revenue Share by Application (2021-2032)
- 9.6 Europe Medical AI-assisted Diagnosis Revenue by Country
- 9.6.1 Europe Medical AI-assisted Diagnosis Revenue by Country (2021 VS 2025 VS 2032)
- 9.6.2 Europe Medical AI-assisted Diagnosis Revenue by Country (2021-2026)
- 9.6.3 Europe Medical AI-assisted Diagnosis Revenue by Country (2027-2032)
- 9.6.4 Germany
- 9.6.5 France
- 9.6.6 U.K.
- 9.6.7 Italy
- 9.6.8 Russia
- 9.6.9 Spain
- 9.6.10 Netherlands
- 9.6.11 Switzerland
- 9.6.12 Sweden
- 9.6.13 Poland
10 China
- 10.1 China Medical AI-assisted Diagnosis Revenue (2021-2032)
- 10.2 China Medical AI-assisted Diagnosis Revenue by Type (2021-2032)
- 10.2.1 China Medical AI-assisted Diagnosis Revenue by Type (2021-2026)
- 10.2.2 China Medical AI-assisted Diagnosis Revenue by Type (2027-2032)
- 10.3 China Medical AI-assisted Diagnosis Revenue Share by Type (2021-2032)
- 10.4 China Medical AI-assisted Diagnosis Revenue by Application (2021-2032)
- 10.4.1 China Medical AI-assisted Diagnosis Revenue by Application (2021-2026)
- 10.4.2 China Medical AI-assisted Diagnosis Revenue by Application (2027-2032)
- 10.5 China Medical AI-assisted Diagnosis Revenue Share by Application (2021-2032)
11 Asia (Excluding China)
- 11.1 Asia Medical AI-assisted Diagnosis Revenue (2021-2032)
- 11.2 Asia Medical AI-assisted Diagnosis Revenue by Type (2021-2032)
- 11.2.1 Asia Medical AI-assisted Diagnosis Revenue by Type (2021-2026)
- 11.2.2 Asia Medical AI-assisted Diagnosis Revenue by Type (2027-2032)
- 11.3 Asia Medical AI-assisted Diagnosis Revenue Share by Type (2021-2032)
- 11.4 Asia Medical AI-assisted Diagnosis Revenue by Application (2021-2032)
- 11.4.1 Asia Medical AI-assisted Diagnosis Revenue by Application (2021-2026)
- 11.4.2 Asia Medical AI-assisted Diagnosis Revenue by Application (2027-2032)
- 11.5 Asia Medical AI-assisted Diagnosis Revenue Share by Application (2021-2032)
- 11.6 Asia Medical AI-assisted Diagnosis Revenue by Country
- 11.6.1 Asia Medical AI-assisted Diagnosis Revenue by Country (2021 VS 2025 VS 2032)
- 11.6.2 Asia Medical AI-assisted Diagnosis Revenue by Country (2021-2026)
- 11.6.3 Asia Medical AI-assisted Diagnosis Revenue by Country (2027-2032)
- 11.6.4 Japan
- 11.6.5 South Korea
- 11.6.6 India
- 11.6.7 Australia
- 11.6.8 Taiwan
- 11.6.9 Southeast Asia
12 South America, Middle East and Africa
- 12.1 SAMEA Medical AI-assisted Diagnosis Revenue (2021-2032)
- 12.2 SAMEA Medical AI-assisted Diagnosis Revenue by Type (2021-2032)
- 12.2.1 SAMEA Medical AI-assisted Diagnosis Revenue by Type (2021-2026)
- 12.2.2 SAMEA Medical AI-assisted Diagnosis Revenue by Type (2027-2032)
- 12.3 SAMEA Medical AI-assisted Diagnosis Revenue Share by Type (2021-2032)
- 12.4 SAMEA Medical AI-assisted Diagnosis Revenue by Application (2021-2032)
- 12.4.1 SAMEA Medical AI-assisted Diagnosis Revenue by Application (2021-2026)
- 12.4.2 SAMEA Medical AI-assisted Diagnosis Revenue by Application (2027-2032)
- 12.5 SAMEA Medical AI-assisted Diagnosis Revenue Share by Application (2021-2032)
- 12.6 SAMEA Medical AI-assisted Diagnosis Revenue by Country
- 12.6.1 SAMEA Medical AI-assisted Diagnosis Revenue by Country (2021 VS 2025 VS 2032)
- 12.6.2 SAMEA Medical AI-assisted Diagnosis Revenue by Country (2021-2026)
- 12.6.3 SAMEA Medical AI-assisted Diagnosis Revenue by Country (2027-2032)
- 12.6.4 Brazil
- 12.6.5 Argentina
- 12.6.6 Chile
- 12.6.7 Colombia
- 12.6.8 Peru
- 12.6.9 Saudi Arabia
- 12.6.10 Israel
- 12.6.11 UAE
- 12.6.12 Turkey
- 12.6.13 Iran
- 12.6.14 Egypt
13 Concluding Insights
14 Appendix
- 14.1 Reasons for Doing This Study
- 14.2 Research Methodology
- 14.3 Research Process
- 14.4 Authors List of This Report
- 14.5 Data Source
- 14.5.1 Secondary Sources
- 14.5.2 Primary Sources
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