Global Gene Expression Software Supply, Demand and Key Producers, 2023-2029

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Published Date: 06 Sep 2023

Category: Service & Software

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Description
Table of Contents
Table of Figures
Research Methodology
Companies Mentioned
Related Reports
Product Tags

Description

The global Gene Expression Software market size is expected to reach $ 207.9 million by 2029, rising at a market growth of 7.5% CAGR during the forecast period (2023-2029).

The industry trend in gene expression software revolves around several key aspects. Firstly, there is a growing focus on integrating multiple analysis techniques within a single software platform, allowing researchers to perform comprehensive transcriptomic analyses, including differential expression, co-expression, and network analyses. Secondly, there is an increasing demand for user-friendly interfaces and intuitive workflows to cater to researchers with varying levels of expertise. Thirdly, the industry is witnessing advancements in data visualization techniques and interactive graphical representations to facilitate the exploration and interpretation of complex gene expression datasets. Additionally, with the rise in multi-omics studies, there is a trend towards integrating gene expression software with other -omics data, such as genomics or proteomics, to enable integrative analyses and a deeper understanding of biological systems. Lastly, there is an increasing focus on cloud-based or web-based solutions that offer scalable data storage, collaboration, and efficient computational resources, making gene expression software more accessible and efficient for researchers globally.

Gene expression software refers to specialized computer programs and tools designed for the analysis and interpretation of gene expression data. It enables researchers to extract meaningful insights from transcriptomic data generated through techniques like microarrays or high-throughput sequencing. Gene expression software facilitates data preprocessing, normalization, statistical analysis, differential gene expression analysis, pathway enrichment analysis, and visualization of gene expression patterns. It aids in understanding the activity levels of genes, identifying differentially expressed genes between conditions, elucidating molecular mechanisms, and uncovering potential biomarkers or therapeutic targets associated with various biological processes, diseases, or drug responses.

This report studies the global Gene Expression Software demand, key companies, and key regions.

This report is a detailed and comprehensive analysis of the world market for Gene Expression Software, and provides market size (US$ million) and Year-over-Year (YoY) growth, considering 2022 as the base year. This report explores demand trends and competition, as well as details the characteristics of Gene Expression Software that contribute to its increasing demand across many markets.

Highlights and key features of the study
Global Gene Expression Software total market, 2018-2029, (USD Million)
Global Gene Expression Software total market by region & country, CAGR, 2018-2029, (USD Million)
U.S. VS China: Gene Expression Software total market, key domestic companies and share, (USD Million)
Global Gene Expression Software revenue by player and market share 2018-2023, (USD Million)
Global Gene Expression Software total market by Type, CAGR, 2018-2029, (USD Million)
Global Gene Expression Software total market by Application, CAGR, 2018-2029, (USD Million).

This reports profiles major players in the global Gene Expression Software market based on the following parameters – company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Agilent Technologies, QIAGEN Digital Insights, SAS (JMP Genomics), DNASTAR, Inc, Illumina and Qlucore, etc.

This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.

Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the World Gene Expression Software market.

Detailed Segmentation:
Each section contains quantitative market data including market by value (US$ Millions), by player, by regions, by Type, and by Application. Data is given for the years 2018-2029 by year with 2022 as the base year, 2023 as the estimate year, and 2024-2029 as the forecast year.

Global Gene Expression Software Market, By Region:
United States
China
Europe
Japan
South Korea
ASEAN
India
Rest of World

Global Gene Expression Software Market, Segmentation by Type
Web-based
Cloud-based

Global Gene Expression Software Market, Segmentation by Application
Hospitals and Health Systems
Research Organizations
Others

Companies Profiled:
Agilent Technologies
QIAGEN Digital Insights
SAS (JMP Genomics)
DNASTAR, Inc
Illumina
Qlucore

Key Questions Answered
1. How big is the global Gene Expression Software market?
2. What is the demand of the global Gene Expression Software market?
3. What is the year over year growth of the global Gene Expression Software market?
4. What is the total value of the global Gene Expression Software market?
5. Who are the major players in the global Gene Expression Software market?

Table of Contents

1 Supply Summary
    1.1 Gene Expression Software Introduction
    1.2 World Gene Expression Software Market Size & Forecast (2018 & 2022 & 2029)
    1.3 World Gene Expression Software Total Market by Region (by Headquarter Location)
        1.3.1 World Gene Expression Software Market Size by Region (2018-2029), (by Headquarter Location)
        1.3.2 United States Gene Expression Software Market Size (2018-2029)
        1.3.3 China Gene Expression Software Market Size (2018-2029)
        1.3.4 Europe Gene Expression Software Market Size (2018-2029)
        1.3.5 Japan Gene Expression Software Market Size (2018-2029)
        1.3.6 South Korea Gene Expression Software Market Size (2018-2029)
        1.3.7 ASEAN Gene Expression Software Market Size (2018-2029)
        1.3.8 India Gene Expression Software Market Size (2018-2029)
    1.4 Market Drivers, Restraints and Trends
        1.4.1 Gene Expression Software Market Drivers
        1.4.2 Factors Affecting Demand
        1.4.3 Gene Expression Software Major Market Trends

2 Demand Summary
    2.1 World Gene Expression Software Consumption Value (2018-2029)
    2.2 World Gene Expression Software Consumption Value by Region
        2.2.1 World Gene Expression Software Consumption Value by Region (2018-2023)
        2.2.2 World Gene Expression Software Consumption Value Forecast by Region (2024-2029)
    2.3 United States Gene Expression Software Consumption Value (2018-2029)
    2.4 China Gene Expression Software Consumption Value (2018-2029)
    2.5 Europe Gene Expression Software Consumption Value (2018-2029)
    2.6 Japan Gene Expression Software Consumption Value (2018-2029)
    2.7 South Korea Gene Expression Software Consumption Value (2018-2029)
    2.8 ASEAN Gene Expression Software Consumption Value (2018-2029)
    2.9 India Gene Expression Software Consumption Value (2018-2029)

3 World Gene Expression Software Companies Competitive Analysis
    3.1 World Gene Expression Software Revenue by Player (2018-2023)
    3.2 Industry Rank and Concentration Rate (CR)
        3.2.1 Global Gene Expression Software Industry Rank of Major Players
        3.2.2 Global Concentration Ratios (CR4) for Gene Expression Software in 2022
        3.2.3 Global Concentration Ratios (CR8) for Gene Expression Software in 2022
    3.3 Gene Expression Software Company Evaluation Quadrant
    3.4 Gene Expression Software Market: Overall Company Footprint Analysis
        3.4.1 Gene Expression Software Market: Region Footprint
        3.4.2 Gene Expression Software Market: Company Product Type Footprint
        3.4.3 Gene Expression Software Market: Company Product Application Footprint
    3.5 Competitive Environment
        3.5.1 Historical Structure of the Industry
        3.5.2 Barriers of Market Entry
        3.5.3 Factors of Competition
    3.6 Mergers, Acquisitions Activity

4 United States VS China VS Rest of the World (by Headquarter Location)
    4.1 United States VS China: Gene Expression Software Revenue Comparison (by Headquarter Location)
        4.1.1 United States VS China: Gene Expression Software Market Size Comparison (2018 & 2022 & 2029) (by Headquarter Location)
        4.1.2 United States VS China: Gene Expression Software Revenue Market Share Comparison (2018 & 2022 & 2029)
    4.2 United States Based Companies VS China Based Companies: Gene Expression Software Consumption Value Comparison
        4.2.1 United States VS China: Gene Expression Software Consumption Value Comparison (2018 & 2022 & 2029)
        4.2.2 United States VS China: Gene Expression Software Consumption Value Market Share Comparison (2018 & 2022 & 2029)
    4.3 United States Based Gene Expression Software Companies and Market Share, 2018-2023
        4.3.1 United States Based Gene Expression Software Companies, Headquarters (States, Country)
        4.3.2 United States Based Companies Gene Expression Software Revenue, (2018-2023)
    4.4 China Based Companies Gene Expression Software Revenue and Market Share, 2018-2023
        4.4.1 China Based Gene Expression Software Companies, Company Headquarters (Province, Country)
        4.4.2 China Based Companies Gene Expression Software Revenue, (2018-2023)
    4.5 Rest of World Based Gene Expression Software Companies and Market Share, 2018-2023
        4.5.1 Rest of World Based Gene Expression Software Companies, Headquarters (States, Country)
        4.5.2 Rest of World Based Companies Gene Expression Software Revenue, (2018-2023)

5 Market Analysis by Type
    5.1 World Gene Expression Software Market Size Overview by Type: 2018 VS 2022 VS 2029
    5.2 Segment Introduction by Type
        5.2.1 Web-based
        5.2.2 Cloud-based
    5.3 Market Segment by Type
        5.3.1 World Gene Expression Software Market Size by Type (2018-2023)
        5.3.2 World Gene Expression Software Market Size by Type (2024-2029)
        5.3.3 World Gene Expression Software Market Size Market Share by Type (2018-2029)

6 Market Analysis by Application
    6.1 World Gene Expression Software Market Size Overview by Application: 2018 VS 2022 VS 2029
    6.2 Segment Introduction by Application
        6.2.1 Hospitals and Health Systems
        6.2.2 Research Organizations
        6.2.3 Others
    6.3 Market Segment by Application
        6.3.1 World Gene Expression Software Market Size by Application (2018-2023)
        6.3.2 World Gene Expression Software Market Size by Application (2024-2029)
        6.3.3 World Gene Expression Software Market Size by Application (2018-2029)

7 Company Profiles
    7.1 Agilent Technologies
        7.1.1 Agilent Technologies Details
        7.1.2 Agilent Technologies Major Business
        7.1.3 Agilent Technologies Gene Expression Software Product and Services
        7.1.4 Agilent Technologies Gene Expression Software Revenue, Gross Margin and Market Share (2018-2023)
        7.1.5 Agilent Technologies Recent Developments/Updates
        7.1.6 Agilent Technologies Competitive Strengths & Weaknesses
    7.2 QIAGEN Digital Insights
        7.2.1 QIAGEN Digital Insights Details
        7.2.2 QIAGEN Digital Insights Major Business
        7.2.3 QIAGEN Digital Insights Gene Expression Software Product and Services
        7.2.4 QIAGEN Digital Insights Gene Expression Software Revenue, Gross Margin and Market Share (2018-2023)
        7.2.5 QIAGEN Digital Insights Recent Developments/Updates
        7.2.6 QIAGEN Digital Insights Competitive Strengths & Weaknesses
    7.3 SAS (JMP Genomics)
        7.3.1 SAS (JMP Genomics) Details
        7.3.2 SAS (JMP Genomics) Major Business
        7.3.3 SAS (JMP Genomics) Gene Expression Software Product and Services
        7.3.4 SAS (JMP Genomics) Gene Expression Software Revenue, Gross Margin and Market Share (2018-2023)
        7.3.5 SAS (JMP Genomics) Recent Developments/Updates
        7.3.6 SAS (JMP Genomics) Competitive Strengths & Weaknesses
    7.4 DNASTAR, Inc
        7.4.1 DNASTAR, Inc Details
        7.4.2 DNASTAR, Inc Major Business
        7.4.3 DNASTAR, Inc Gene Expression Software Product and Services
        7.4.4 DNASTAR, Inc Gene Expression Software Revenue, Gross Margin and Market Share (2018-2023)
        7.4.5 DNASTAR, Inc Recent Developments/Updates
        7.4.6 DNASTAR, Inc Competitive Strengths & Weaknesses
    7.5 Illumina
        7.5.1 Illumina Details
        7.5.2 Illumina Major Business
        7.5.3 Illumina Gene Expression Software Product and Services
        7.5.4 Illumina Gene Expression Software Revenue, Gross Margin and Market Share (2018-2023)
        7.5.5 Illumina Recent Developments/Updates
        7.5.6 Illumina Competitive Strengths & Weaknesses
    7.6 Qlucore
        7.6.1 Qlucore Details
        7.6.2 Qlucore Major Business
        7.6.3 Qlucore Gene Expression Software Product and Services
        7.6.4 Qlucore Gene Expression Software Revenue, Gross Margin and Market Share (2018-2023)
        7.6.5 Qlucore Recent Developments/Updates
        7.6.6 Qlucore Competitive Strengths & Weaknesses

8 Industry Chain Analysis
    8.1 Gene Expression Software Industry Chain
    8.2 Gene Expression Software Upstream Analysis
    8.3 Gene Expression Software Midstream Analysis
    8.4 Gene Expression Software Downstream Analysis

9 Research Findings and Conclusion

10 Appendix
    10.1 Methodology
    10.2 Research Process and Data Source
    10.3 Disclaimer

Table of Figures

List of Tables
    Table 1. World Gene Expression Software Revenue by Region (2018, 2022 and 2029) & (USD Million), (by Headquarter Location)
    Table 2. World Gene Expression Software Revenue by Region (2018-2023) & (USD Million), (by Headquarter Location)
    Table 3. World Gene Expression Software Revenue by Region (2024-2029) & (USD Million), (by Headquarter Location)
    Table 4. World Gene Expression Software Revenue Market Share by Region (2018-2023), (by Headquarter Location)
    Table 5. World Gene Expression Software Revenue Market Share by Region (2024-2029), (by Headquarter Location)
    Table 6. Major Market Trends
    Table 7. World Gene Expression Software Consumption Value Growth Rate Forecast by Region (2018 & 2022 & 2029) & (USD Million)
    Table 8. World Gene Expression Software Consumption Value by Region (2018-2023) & (USD Million)
    Table 9. World Gene Expression Software Consumption Value Forecast by Region (2024-2029) & (USD Million)
    Table 10. World Gene Expression Software Revenue by Player (2018-2023) & (USD Million)
    Table 11. Revenue Market Share of Key Gene Expression Software Players in 2022
    Table 12. World Gene Expression Software Industry Rank of Major Player, Based on Revenue in 2022
    Table 13. Global Gene Expression Software Company Evaluation Quadrant
    Table 14. Head Office of Key Gene Expression Software Player
    Table 15. Gene Expression Software Market: Company Product Type Footprint
    Table 16. Gene Expression Software Market: Company Product Application Footprint
    Table 17. Gene Expression Software Mergers & Acquisitions Activity
    Table 18. United States VS China Gene Expression Software Market Size Comparison, (2018 & 2022 & 2029) & (USD Million)
    Table 19. United States VS China Gene Expression Software Consumption Value Comparison, (2018 & 2022 & 2029) & (USD Million)
    Table 20. United States Based Gene Expression Software Companies, Headquarters (States, Country)
    Table 21. United States Based Companies Gene Expression Software Revenue, (2018-2023) & (USD Million)
    Table 22. United States Based Companies Gene Expression Software Revenue Market Share (2018-2023)
    Table 23. China Based Gene Expression Software Companies, Headquarters (Province, Country)
    Table 24. China Based Companies Gene Expression Software Revenue, (2018-2023) & (USD Million)
    Table 25. China Based Companies Gene Expression Software Revenue Market Share (2018-2023)
    Table 26. Rest of World Based Gene Expression Software Companies, Headquarters (States, Country)
    Table 27. Rest of World Based Companies Gene Expression Software Revenue, (2018-2023) & (USD Million)
    Table 28. Rest of World Based Companies Gene Expression Software Revenue Market Share (2018-2023)
    Table 29. World Gene Expression Software Market Size by Type, (USD Million), 2018 & 2022 & 2029
    Table 30. World Gene Expression Software Market Size by Type (2018-2023) & (USD Million)
    Table 31. World Gene Expression Software Market Size by Type (2024-2029) & (USD Million)
    Table 32. World Gene Expression Software Market Size by Application, (USD Million), 2018 & 2022 & 2029
    Table 33. World Gene Expression Software Market Size by Application (2018-2023) & (USD Million)
    Table 34. World Gene Expression Software Market Size by Application (2024-2029) & (USD Million)
    Table 35. Agilent Technologies Basic Information, Area Served and Competitors
    Table 36. Agilent Technologies Major Business
    Table 37. Agilent Technologies Gene Expression Software Product and Services
    Table 38. Agilent Technologies Gene Expression Software Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 39. Agilent Technologies Recent Developments/Updates
    Table 40. Agilent Technologies Competitive Strengths & Weaknesses
    Table 41. QIAGEN Digital Insights Basic Information, Area Served and Competitors
    Table 42. QIAGEN Digital Insights Major Business
    Table 43. QIAGEN Digital Insights Gene Expression Software Product and Services
    Table 44. QIAGEN Digital Insights Gene Expression Software Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 45. QIAGEN Digital Insights Recent Developments/Updates
    Table 46. QIAGEN Digital Insights Competitive Strengths & Weaknesses
    Table 47. SAS (JMP Genomics) Basic Information, Area Served and Competitors
    Table 48. SAS (JMP Genomics) Major Business
    Table 49. SAS (JMP Genomics) Gene Expression Software Product and Services
    Table 50. SAS (JMP Genomics) Gene Expression Software Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 51. SAS (JMP Genomics) Recent Developments/Updates
    Table 52. SAS (JMP Genomics) Competitive Strengths & Weaknesses
    Table 53. DNASTAR, Inc Basic Information, Area Served and Competitors
    Table 54. DNASTAR, Inc Major Business
    Table 55. DNASTAR, Inc Gene Expression Software Product and Services
    Table 56. DNASTAR, Inc Gene Expression Software Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 57. DNASTAR, Inc Recent Developments/Updates
    Table 58. DNASTAR, Inc Competitive Strengths & Weaknesses
    Table 59. Illumina Basic Information, Area Served and Competitors
    Table 60. Illumina Major Business
    Table 61. Illumina Gene Expression Software Product and Services
    Table 62. Illumina Gene Expression Software Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 63. Illumina Recent Developments/Updates
    Table 64. Qlucore Basic Information, Area Served and Competitors
    Table 65. Qlucore Major Business
    Table 66. Qlucore Gene Expression Software Product and Services
    Table 67. Qlucore Gene Expression Software Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 68. Global Key Players of Gene Expression Software Upstream (Raw Materials)
    Table 69. Gene Expression Software Typical Customers
List of Figure
    Figure 1. Gene Expression Software Picture
    Figure 2. World Gene Expression Software Total Market Size: 2018 & 2022 & 2029, (USD Million)
    Figure 3. World Gene Expression Software Total Market Size (2018-2029) & (USD Million)
    Figure 4. World Gene Expression Software Revenue Market Share by Region (2018, 2022 and 2029) & (USD Million) , (by Headquarter Location)
    Figure 5. World Gene Expression Software Revenue Market Share by Region (2018-2029), (by Headquarter Location)
    Figure 6. United States Based Company Gene Expression Software Revenue (2018-2029) & (USD Million)
    Figure 7. China Based Company Gene Expression Software Revenue (2018-2029) & (USD Million)
    Figure 8. Europe Based Company Gene Expression Software Revenue (2018-2029) & (USD Million)
    Figure 9. Japan Based Company Gene Expression Software Revenue (2018-2029) & (USD Million)
    Figure 10. South Korea Based Company Gene Expression Software Revenue (2018-2029) & (USD Million)
    Figure 11. ASEAN Based Company Gene Expression Software Revenue (2018-2029) & (USD Million)
    Figure 12. India Based Company Gene Expression Software Revenue (2018-2029) & (USD Million)
    Figure 13. Gene Expression Software Market Drivers
    Figure 14. Factors Affecting Demand
    Figure 15. World Gene Expression Software Consumption Value (2018-2029) & (USD Million)
    Figure 16. World Gene Expression Software Consumption Value Market Share by Region (2018-2029)
    Figure 17. United States Gene Expression Software Consumption Value (2018-2029) & (USD Million)
    Figure 18. China Gene Expression Software Consumption Value (2018-2029) & (USD Million)
    Figure 19. Europe Gene Expression Software Consumption Value (2018-2029) & (USD Million)
    Figure 20. Japan Gene Expression Software Consumption Value (2018-2029) & (USD Million)
    Figure 21. South Korea Gene Expression Software Consumption Value (2018-2029) & (USD Million)
    Figure 22. ASEAN Gene Expression Software Consumption Value (2018-2029) & (USD Million)
    Figure 23. India Gene Expression Software Consumption Value (2018-2029) & (USD Million)
    Figure 24. Producer Shipments of Gene Expression Software by Player Revenue ($MM) and Market Share (%): 2022
    Figure 25. Global Four-firm Concentration Ratios (CR4) for Gene Expression Software Markets in 2022
    Figure 26. Global Four-firm Concentration Ratios (CR8) for Gene Expression Software Markets in 2022
    Figure 27. United States VS China: Gene Expression Software Revenue Market Share Comparison (2018 & 2022 & 2029)
    Figure 28. United States VS China: Gene Expression Software Consumption Value Market Share Comparison (2018 & 2022 & 2029)
    Figure 29. World Gene Expression Software Market Size by Type, (USD Million), 2018 & 2022 & 2029
    Figure 30. World Gene Expression Software Market Size Market Share by Type in 2022
    Figure 31. Web-based
    Figure 32. Cloud-based
    Figure 33. World Gene Expression Software Market Size Market Share by Type (2018-2029)
    Figure 34. World Gene Expression Software Market Size by Application, (USD Million), 2018 & 2022 & 2029
    Figure 35. World Gene Expression Software Market Size Market Share by Application in 2022
    Figure 36. Hospitals and Health Systems
    Figure 37. Research Organizations
    Figure 38. Others
    Figure 39. Gene Expression Software Industrial Chain
    Figure 40. Methodology
    Figure 41. Research Process and Data Source

Research Methodology

Client Requirements

Review and analyze client requirements

Discussion of all the project requirements and queries

Flexibility Check

Project Feasibility Analysis

Finalizing tentative research programme

Structuring project proposal with scope, timeline, and costs

Analyzing Market Dynamics

Determination of key drivers, restraints, challenge, and opportunity

Identifies market needs and trends

Market Size Estimation & Forecast

Estimation of historical data based on secondary and primary data

Anticipating market recast by assigning weightage to market forces (drivers, restraints, opportunities)

Freezing historical and forecast market size estimations based on evolution, trends, outlook, and strategies

Consideration of geography, region-specific product/service demand for region segments

Consideration of product utilization rates, product demand outlook for segments by application or end-user.

Data Source

Secondary Source
Data collections from annual reports, presentations,associations, journals, analyst reports, paid database, press releases, blogs, newsletters,and GIR repositories.

Primary Source
Research discussion with manufacturers, distributors, suppliers, end user, industry experts to verify insights.

Validation and
triangulation of
secondary and primary source.

Collection of data

Cumulating and collating the essential qualitative and quantitative data

Generation of report in client requested format by research analysts

Reviews by expert analysts

Final quality check

Clarifying queries

Receiving feedback

Ensuring satisfaction

01 Identification of data

This step involves identification of several primary and secondary data research sources, including Global Info Research's internal data sources. The primary sources consist of in-depth discussions and interviews with policy makers, industry experts, and data evaluators, whereas secondary sources include a thorough study of market journals, press releases, annual reports, and government and non-government agencies websites.
02 Evaluation of Market Dynamic

This phase includes a detailed evaluation of several factors that are likely to affect the market dynamics. It involves a comprehensive assessment of major market pain points, drivers, and trends. It also comprises a detailed study of research plans and methodology.
03 Collection of Data

This process consists of gathering data, accessing proprietary databases, and reaching out to key industry participants that operate in the market across the value chain. It also involves studying several patterns in the historical data and comparing it with the current scenario.
04 Collaboration of Data

This stage involves the validation of data and arrival at actual statistics, and evolution of the market over the years. It entails the study and analyzes various segments and verticals of the market. An impact analysis is also performed to observe which factors will affect the market in the next few years.
05 Verification and Analysis

This is the final stage, which involves both quantity and quality checks. Although the process of data verification is an integral part of the research process, all data points and statistics and figures are re-checked to uphold their authenticity and validity.

Companies Mentioned

Agilent Technologies
QIAGEN Digital Insights
SAS (JMP Genomics)
DNASTAR, Inc
Illumina
Qlucore

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