Selected research
Market Analysis & Forecast
Global Cloud-based Automatic Content Recognition Market Analysis and Forecast 2026-2032
Market perspective
The global Cloud-based Automatic Content Recognition 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 Cloud-based Automatic Content Recognition 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 Cloud-based Automatic Content Recognition 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 Cloud-based Automatic Content Recognition 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 Cloud-based Automatic Content Recognition 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 Cloud-based Automatic Content Recognition include Arcsoft, Digimarc, Google, Microsoft, Nuance Communications, ACR Cloud, Audible Magic, Civolution (Kantar Media) and Enswers, 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 Cloud-based Automatic Content Recognition, 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 Cloud-based Automatic Content Recognition, also provides the revenue of main regions and countries. Of the upcoming market potential for Cloud-based Automatic Content Recognition, 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 Cloud-based Automatic Content Recognition revenue, market share and industry ranking of main manufacturers, data from 2021 to 2026. Identification of the major stakeholders in the global Cloud-based Automatic Content Recognition 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 Cloud-based Automatic Content Recognition revenue, projected growth trends, production technology, application and end-user industry.
Cloud-based Automatic Content Recognition Segment by Company
Arcsoft
Digimarc
Microsoft
Nuance Communications
ACR Cloud
Audible Magic
Civolution (Kantar Media)
Enswers
Gracenote
Mufin
Shazam Entertainment
Vobile
Voiceinteraction
Beatgrid Media
Cloud-based Automatic Content Recognition Segment by Type
Acoustic & Digital Video Fingerprinting
Digital Audio, Video & Image Watermarking
Optical Character Recognition
Speech Recognition
Cloud-based Automatic Content Recognition Segment by Application
Consumer Electronics
E-Commerce
Education
Automotive
IT & Telecommunication
Healthcare
Defense & Public Safety
Avionics
Others
Cloud-based Automatic Content Recognition 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 Cloud-based Automatic Content Recognition 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 Cloud-based Automatic Content Recognition 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 Cloud-based Automatic Content Recognition.
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 Cloud-based Automatic Content Recognition 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 Cloud-based Automatic Content Recognition 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, Cloud-based Automatic Content Recognition 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
- Acoustic & Digital Video Fingerprinting
- Digital Audio, Video & Image Watermarking
- Optical Character Recognition
- Speech Recognition
Applications
- Consumer Electronics
- E-Commerce
- Education
- Automotive
- IT & Telecommunication
- Healthcare
- Defense & Public Safety
- Avionics
- Others
Companies covered
- Arcsoft
- Digimarc
- Microsoft
- Nuance Communications
- ACR Cloud
- Audible Magic
- Civolution (Kantar Media)
- Enswers
- Gracenote
- Mufin
- Shazam Entertainment
- Vobile
- Voiceinteraction
- Beatgrid Media
Inside the report.
1 Market Overview
- 1.1 Product Definition
- 1.2 Cloud-based Automatic Content Recognition Market by Type
- 1.2.1 Global Cloud-based Automatic Content Recognition Market Size by Type, 2021 VS 2025 VS 2032
- 1.2.2 Acoustic & Digital Video Fingerprinting
- 1.2.3 Digital Audio, Video & Image Watermarking
- 1.2.4 Optical Character Recognition
- 1.2.5 Speech Recognition
- 1.3 Cloud-based Automatic Content Recognition Market by Application
- 1.3.1 Global Cloud-based Automatic Content Recognition Market Size by Application, 2021 VS 2025 VS 2032
- 1.3.2 Consumer Electronics
- 1.3.3 E-Commerce
- 1.3.4 Education
- 1.3.5 Automotive
- 1.3.6 IT & Telecommunication
- 1.3.7 Healthcare
- 1.3.8 Defense & Public Safety
- 1.3.9 Avionics
- 1.3.10 Others
- 1.4 Assumptions and Limitations
- 1.5 Study Goals and Objectives
2 Cloud-based Automatic Content Recognition Market Dynamics
- 2.1 Cloud-based Automatic Content Recognition Industry Trends
- 2.2 Cloud-based Automatic Content Recognition Industry Drivers
- 2.3 Cloud-based Automatic Content Recognition Industry Opportunities and Challenges
- 2.4 Cloud-based Automatic Content Recognition Industry Restraints
3 Global Growth Perspective
- 3.1 Global Cloud-based Automatic Content Recognition Market Perspective (2021-2032)
- 3.2 Global Cloud-based Automatic Content Recognition Growth Trends by Region
- 3.2.1 Global Cloud-based Automatic Content Recognition Market Size by Region: 2021 VS 2025 VS 2032
- 3.2.2 Global Cloud-based Automatic Content Recognition Market Size by Region (2021-2026)
- 3.2.3 Global Cloud-based Automatic Content Recognition Market Size by Region (2027-2032)
4 Competitive Landscape by Players
- 4.1 Global Cloud-based Automatic Content Recognition Revenue by Players
- 4.1.1 Global Cloud-based Automatic Content Recognition Revenue by Players (2021-2026)
- 4.1.2 Global Cloud-based Automatic Content Recognition Revenue Market Share by Players (2021-2026)
- 4.1.3 Global Cloud-based Automatic Content Recognition Players Revenue Share Top 10 and Top 5 in 2025
- 4.2 Global Cloud-based Automatic Content Recognition Key Players Ranking, 2024 VS 2025 VS 2026
- 4.3 Global Cloud-based Automatic Content Recognition Key Players Headquarters & Area Served
- 4.4 Global Cloud-based Automatic Content Recognition Players, Product Type & Application
- 4.5 Global Cloud-based Automatic Content Recognition Players Establishment Date
- 4.6 Market Competitive Analysis
- 4.6.1 Global Cloud-based Automatic Content Recognition Market CR5 and HHI
- 4.6.3 2025 Cloud-based Automatic Content Recognition Tier 1, Tier 2, and Tier 3
5 Cloud-based Automatic Content Recognition Market Size by Type
- 5.1 Global Cloud-based Automatic Content Recognition Revenue by Type (2021 VS 2025 VS 2032)
- 5.2 Global Cloud-based Automatic Content Recognition Revenue by Type (2021-2032)
- 5.3 Global Cloud-based Automatic Content Recognition Revenue Market Share by Type (2021-2032)
6 Cloud-based Automatic Content Recognition Market Size by Application
- 6.1 Global Cloud-based Automatic Content Recognition Revenue by Application (2021 VS 2025 VS 2032)
- 6.2 Global Cloud-based Automatic Content Recognition Revenue by Application (2021-2032)
- 6.3 Global Cloud-based Automatic Content Recognition Revenue Market Share by Application (2021-2032)
7 Company Profiles
- 7.1 Arcsoft
- 7.1.1 Arcsoft Company Information
- 7.1.2 Arcsoft Business Overview
- 7.1.3 Arcsoft Cloud-based Automatic Content Recognition Revenue and Gross Margin (2021-2026)
- 7.1.4 Arcsoft Cloud-based Automatic Content Recognition Product Portfolio
- 7.1.5 Arcsoft Recent Developments
- 7.2 Digimarc
- 7.2.1 Digimarc Company Information
- 7.2.2 Digimarc Business Overview
- 7.2.3 Digimarc Cloud-based Automatic Content Recognition Revenue and Gross Margin (2021-2026)
- 7.2.4 Digimarc Cloud-based Automatic Content Recognition Product Portfolio
- 7.2.5 Digimarc Recent Developments
- 7.3 Google
- 7.3.1 Google Company Information
- 7.3.2 Google Business Overview
- 7.3.3 Google Cloud-based Automatic Content Recognition Revenue and Gross Margin (2021-2026)
- 7.3.4 Google Cloud-based Automatic Content Recognition Product Portfolio
- 7.3.5 Google Recent Developments
- 7.4 Microsoft
- 7.4.1 Microsoft Company Information
- 7.4.2 Microsoft Business Overview
- 7.4.3 Microsoft Cloud-based Automatic Content Recognition Revenue and Gross Margin (2021-2026)
- 7.4.4 Microsoft Cloud-based Automatic Content Recognition Product Portfolio
- 7.4.5 Microsoft Recent Developments
- 7.5 Nuance Communications
- 7.5.1 Nuance Communications Company Information
- 7.5.2 Nuance Communications Business Overview
- 7.5.3 Nuance Communications Cloud-based Automatic Content Recognition Revenue and Gross Margin (2021-2026)
- 7.5.4 Nuance Communications Cloud-based Automatic Content Recognition Product Portfolio
- 7.5.5 Nuance Communications Recent Developments
- 7.6 ACR Cloud
- 7.6.1 ACR Cloud Company Information
- 7.6.2 ACR Cloud Business Overview
- 7.6.3 ACR Cloud Cloud-based Automatic Content Recognition Revenue and Gross Margin (2021-2026)
- 7.6.4 ACR Cloud Cloud-based Automatic Content Recognition Product Portfolio
- 7.6.5 ACR Cloud Recent Developments
- 7.7 Audible Magic
- 7.7.1 Audible Magic Company Information
- 7.7.2 Audible Magic Business Overview
- 7.7.3 Audible Magic Cloud-based Automatic Content Recognition Revenue and Gross Margin (2021-2026)
- 7.7.4 Audible Magic Cloud-based Automatic Content Recognition Product Portfolio
- 7.7.5 Audible Magic Recent Developments
- 7.8 Civolution (Kantar Media)
- 7.8.1 Civolution (Kantar Media) Company Information
- 7.8.2 Civolution (Kantar Media) Business Overview
- 7.8.3 Civolution (Kantar Media) Cloud-based Automatic Content Recognition Revenue and Gross Margin (2021-2026)
- 7.8.4 Civolution (Kantar Media) Cloud-based Automatic Content Recognition Product Portfolio
- 7.8.5 Civolution (Kantar Media) Recent Developments
- 7.9 Enswers
- 7.9.1 Enswers Company Information
- 7.9.2 Enswers Business Overview
- 7.9.3 Enswers Cloud-based Automatic Content Recognition Revenue and Gross Margin (2021-2026)
- 7.9.4 Enswers Cloud-based Automatic Content Recognition Product Portfolio
- 7.9.5 Enswers Recent Developments
- 7.10 Gracenote
- 7.10.1 Gracenote Company Information
- 7.10.2 Gracenote Business Overview
- 7.10.3 Gracenote Cloud-based Automatic Content Recognition Revenue and Gross Margin (2021-2026)
- 7.10.4 Gracenote Cloud-based Automatic Content Recognition Product Portfolio
- 7.10.5 Gracenote Recent Developments
- 7.11 Mufin
- 7.11.1 Mufin Company Information
- 7.11.2 Mufin Business Overview
- 7.11.3 Mufin Cloud-based Automatic Content Recognition Revenue and Gross Margin (2021-2026)
- 7.11.4 Mufin Cloud-based Automatic Content Recognition Product Portfolio
- 7.11.5 Mufin Recent Developments
- 7.12 Shazam Entertainment
- 7.12.1 Shazam Entertainment Company Information
- 7.12.2 Shazam Entertainment Business Overview
- 7.12.3 Shazam Entertainment Cloud-based Automatic Content Recognition Revenue and Gross Margin (2021-2026)
- 7.12.4 Shazam Entertainment Cloud-based Automatic Content Recognition Product Portfolio
- 7.12.5 Shazam Entertainment Recent Developments
- 7.13 Vobile
- 7.13.1 Vobile Company Information
- 7.13.2 Vobile Business Overview
- 7.13.3 Vobile Cloud-based Automatic Content Recognition Revenue and Gross Margin (2021-2026)
- 7.13.4 Vobile Cloud-based Automatic Content Recognition Product Portfolio
- 7.13.5 Vobile Recent Developments
- 7.14 Voiceinteraction
- 7.14.1 Voiceinteraction Company Information
- 7.14.2 Voiceinteraction Business Overview
- 7.14.3 Voiceinteraction Cloud-based Automatic Content Recognition Revenue and Gross Margin (2021-2026)
- 7.14.4 Voiceinteraction Cloud-based Automatic Content Recognition Product Portfolio
- 7.14.5 Voiceinteraction Recent Developments
- 7.15 Beatgrid Media
- 7.15.1 Beatgrid Media Company Information
- 7.15.2 Beatgrid Media Business Overview
- 7.15.3 Beatgrid Media Cloud-based Automatic Content Recognition Revenue and Gross Margin (2021-2026)
- 7.15.4 Beatgrid Media Cloud-based Automatic Content Recognition Product Portfolio
- 7.15.5 Beatgrid Media Recent Developments
8 North America
- 8.1 North America Cloud-based Automatic Content Recognition Revenue (2021-2032)
- 8.2 North America Cloud-based Automatic Content Recognition Revenue by Type (2021-2032)
- 8.2.1 North America Cloud-based Automatic Content Recognition Revenue by Type (2021-2026)
- 8.2.2 North America Cloud-based Automatic Content Recognition Revenue by Type (2027-2032)
- 8.3 North America Cloud-based Automatic Content Recognition Revenue Share by Type (2021-2032)
- 8.4 North America Cloud-based Automatic Content Recognition Revenue by Application (2021-2032)
- 8.4.1 North America Cloud-based Automatic Content Recognition Revenue by Application (2021-2026)
- 8.4.2 North America Cloud-based Automatic Content Recognition Revenue by Application (2027-2032)
- 8.5 North America Cloud-based Automatic Content Recognition Revenue Share by Application (2021-2032)
- 8.6 North America Cloud-based Automatic Content Recognition Revenue by Country
- 8.6.1 North America Cloud-based Automatic Content Recognition Revenue by Country (2021 VS 2025 VS 2032)
- 8.6.2 North America Cloud-based Automatic Content Recognition Revenue by Country (2021-2026)
- 8.6.3 North America Cloud-based Automatic Content Recognition Revenue by Country (2027-2032)
- 8.6.4 United States
- 8.6.5 Canada
- 8.6.6 Mexico
9 Europe
- 9.1 Europe Cloud-based Automatic Content Recognition Revenue (2021-2032)
- 9.2 Europe Cloud-based Automatic Content Recognition Revenue by Type (2021-2032)
- 9.2.1 Europe Cloud-based Automatic Content Recognition Revenue by Type (2021-2026)
- 9.2.2 Europe Cloud-based Automatic Content Recognition Revenue by Type (2027-2032)
- 9.3 Europe Cloud-based Automatic Content Recognition Revenue Share by Type (2021-2032)
- 9.4 Europe Cloud-based Automatic Content Recognition Revenue by Application (2021-2032)
- 9.4.1 Europe Cloud-based Automatic Content Recognition Revenue by Application (2021-2026)
- 9.4.2 Europe Cloud-based Automatic Content Recognition Revenue by Application (2027-2032)
- 9.5 Europe Cloud-based Automatic Content Recognition Revenue Share by Application (2021-2032)
- 9.6 Europe Cloud-based Automatic Content Recognition Revenue by Country
- 9.6.1 Europe Cloud-based Automatic Content Recognition Revenue by Country (2021 VS 2025 VS 2032)
- 9.6.2 Europe Cloud-based Automatic Content Recognition Revenue by Country (2021-2026)
- 9.6.3 Europe Cloud-based Automatic Content Recognition 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 Cloud-based Automatic Content Recognition Revenue (2021-2032)
- 10.2 China Cloud-based Automatic Content Recognition Revenue by Type (2021-2032)
- 10.2.1 China Cloud-based Automatic Content Recognition Revenue by Type (2021-2026)
- 10.2.2 China Cloud-based Automatic Content Recognition Revenue by Type (2027-2032)
- 10.3 China Cloud-based Automatic Content Recognition Revenue Share by Type (2021-2032)
- 10.4 China Cloud-based Automatic Content Recognition Revenue by Application (2021-2032)
- 10.4.1 China Cloud-based Automatic Content Recognition Revenue by Application (2021-2026)
- 10.4.2 China Cloud-based Automatic Content Recognition Revenue by Application (2027-2032)
- 10.5 China Cloud-based Automatic Content Recognition Revenue Share by Application (2021-2032)
11 Asia (Excluding China)
- 11.1 Asia Cloud-based Automatic Content Recognition Revenue (2021-2032)
- 11.2 Asia Cloud-based Automatic Content Recognition Revenue by Type (2021-2032)
- 11.2.1 Asia Cloud-based Automatic Content Recognition Revenue by Type (2021-2026)
- 11.2.2 Asia Cloud-based Automatic Content Recognition Revenue by Type (2027-2032)
- 11.3 Asia Cloud-based Automatic Content Recognition Revenue Share by Type (2021-2032)
- 11.4 Asia Cloud-based Automatic Content Recognition Revenue by Application (2021-2032)
- 11.4.1 Asia Cloud-based Automatic Content Recognition Revenue by Application (2021-2026)
- 11.4.2 Asia Cloud-based Automatic Content Recognition Revenue by Application (2027-2032)
- 11.5 Asia Cloud-based Automatic Content Recognition Revenue Share by Application (2021-2032)
- 11.6 Asia Cloud-based Automatic Content Recognition Revenue by Country
- 11.6.1 Asia Cloud-based Automatic Content Recognition Revenue by Country (2021 VS 2025 VS 2032)
- 11.6.2 Asia Cloud-based Automatic Content Recognition Revenue by Country (2021-2026)
- 11.6.3 Asia Cloud-based Automatic Content Recognition 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 Cloud-based Automatic Content Recognition Revenue (2021-2032)
- 12.2 SAMEA Cloud-based Automatic Content Recognition Revenue by Type (2021-2032)
- 12.2.1 SAMEA Cloud-based Automatic Content Recognition Revenue by Type (2021-2026)
- 12.2.2 SAMEA Cloud-based Automatic Content Recognition Revenue by Type (2027-2032)
- 12.3 SAMEA Cloud-based Automatic Content Recognition Revenue Share by Type (2021-2032)
- 12.4 SAMEA Cloud-based Automatic Content Recognition Revenue by Application (2021-2032)
- 12.4.1 SAMEA Cloud-based Automatic Content Recognition Revenue by Application (2021-2026)
- 12.4.2 SAMEA Cloud-based Automatic Content Recognition Revenue by Application (2027-2032)
- 12.5 SAMEA Cloud-based Automatic Content Recognition Revenue Share by Application (2021-2032)
- 12.6 SAMEA Cloud-based Automatic Content Recognition Revenue by Country
- 12.6.1 SAMEA Cloud-based Automatic Content Recognition Revenue by Country (2021 VS 2025 VS 2032)
- 12.6.2 SAMEA Cloud-based Automatic Content Recognition Revenue by Country (2021-2026)
- 12.6.3 SAMEA Cloud-based Automatic Content Recognition 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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