Apparel Software

Apparel Software Comprehensive Study by Type (Apparel Business Management and ERP Software, Apparel Design Software, Other), Organization Size (Large Enterprises, SMEs), End User (Fashion Manufacturers, Retailers, Distributers) Players and Region - Global Market Outlook to 2027

Apparel Software Market by XX Submarkets | Forecast Years 2022-2027  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
About Apparel Software
Apparel software is a type of business management software used to manufacture, distribute, and retail clothing. Apparel software typically consists of a database that records all product information to track sales and analyze data to make production or inventory decisions. The need to anticipate demands and forecast sales incredibly necessary for reducing production and delivery time while minimizing unplanned markdowns. The global market is highly competitive and consists of a limited number of providers who compete with each other. The intense competition, changing consumer spending patterns, demographic trends, and frequent changes in consumer preferences pose significant opportunities for market growth.

AttributesDetails
Study Period2017-2027
Base Year2021
UnitValue (USD Million)


The rising number of players expected to enter the global market is predicted to enhance the competition level as well as encourage the growth of the overall market in the near future. Players are anticipated to focus on the development of new compounds, which is likely to encourage the growth of the global market throughout the forecast period. Analyst at AMA Research estimates that United States Players will contribute the maximum growth to Global Apparel Software market throughout the forecasted period. Established and emerging Players should take a closer view at their existing organizations and reinvent traditional business and operating models to adapt to the future.

Handshake by Shopify (United States), DecoNetwork (United States), Computer Generated Solutions (United States), ApparelMagic (United States), BlueCherry (United States), Softengine (United States), WAIR (United States), InkSoft (United States), StartMyLine (United States), NedGraphics (United States), Wilcom International (Australia) and Flick2Know Technologies (India) are some of the key players that are part of study coverage. Additionally, the Players which are also part of the research coverage are SAF Technologies (United States), Bookalook (United Kingdom), Aspiring Technologies (Saudi Arabia) and FundCount (United States).

Segmentation Overview
AMA Research has segmented the market of Global Apparel Software market by Type (Apparel Business Management and ERP Software, Apparel Design Software and Other) and Region.



On the basis of geography, the market of Apparel Software has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). If we see Market by Organization Size , the sub-segment i.e. Large Enterprises will boost the Apparel Software market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by End User, the sub-segment i.e. Fashion Manufacturers will boost the Apparel Software market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Influencing Trend:
Wearable Devices like Smartwatches, Fitness Trackers, and many others are one of the most Striking Technological Trends in the Fashion Industry, 3D Printing is one of the Most Popular Technology Trends in the Apparel Industry and Increasing Use of ERP System Is Driving the Growth

Market Growth Drivers:
Change in Demand is Significantly Higher in Comparison to any other sectors and High Rise in Technology is Driving the Growth of Apparel Software

Challenges:
Challenge of Implementing ERP software

Restraints:
Apparel Business is High Volume, Low Margins

Opportunities:
IoT is a newly popular concept that has been adopted by the fashion industry is Growing Opportunities for New Investors

Market Leaders and their expansionary development strategies
On 20th May 2022, Aptean, a global provider of mission-critical enterprise software solutions, announced the acquisition of RLM Apparel Software Systems (RLM), an award-winning provider of innovative, cloud-based business software solutions designed specifically for fashion and apparel companies.
On 25th Aug 2022, Aptean – a global provider of enterprise software solutions – and Aptos – a leading provider of retail technology solutions – have announced to enter into a definitive agreement through which Aptean will acquire Aptos’ planning and product lifecycle management division. The move will help Aptean to expand its cloud-based software offerings into the apparel, luxury, fashion and specialty retail industries, and broaden its fashion and apparel footprint.


Key Target Audience
Analysts and Strategic Business Planners, Apparel Software Services Providers, Regulatory Bodies, Potential Investors, New Entrants, Research and Development Institutes and Others

About Approach
To evaluate and validate the market size various sources including primary and secondary analysis is utilized. AMA Research follows regulatory standards such as NAICS/SIC/ICB/TRCB, to have a better understanding of the market. The market study is conducted on basis of more than 200 companies dealing in the market regional as well as global areas with the purpose to understand the companies positioning regarding the market value, volume, and their market share for regional as well as global.

Further to bring relevance specific to any niche market we set and apply a number of criteria like Geographic Footprints, Regional Segments of Revenue, Operational Centres, etc. The next step is to finalize a team (In-House + Data Agencies) who then starts collecting C & D level executives and profiles, Industry experts, Opinion leaders, etc., and work towards appointment generation.

The primary research is performed by taking the interviews of executives of various companies dealing in the market as well as using the survey reports, research institute, and latest research reports. Meanwhile, the analyst team keeps preparing a set of questionnaires, and after getting the appointee list; the target audience is then tapped and segregated with various mediums and channels that are feasible for making connections that including email communication, telephonic, skype, LinkedIn Group & InMail, Community Forums, Community Forums, open Survey, SurveyMonkey, etc.

Report Objectives / Segmentation Covered

By Type
  • Apparel Business Management and ERP Software
  • Apparel Design Software
  • Other
By Organization Size
  • Large Enterprises
  • SMEs

By End User
  • Fashion Manufacturers
  • Retailers
  • Distributers

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Change in Demand is Significantly Higher in Comparison to any other sectors
      • 3.2.2. High Rise in Technology is Driving the Growth of Apparel Software
    • 3.3. Market Challenges
      • 3.3.1. Challenge of Implementing ERP software
    • 3.4. Market Trends
      • 3.4.1. Wearable Devices like Smartwatches, Fitness Trackers, and many others are one of the most Striking Technological Trends in the Fashion Industry
      • 3.4.2. 3D Printing is one of the Most Popular Technology Trends in the Apparel Industry
      • 3.4.3. Increasing Use of ERP System Is Driving the Growth
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Apparel Software, by Type, Organization Size , End User and Region (value and price ) (2016-2021)
    • 5.1. Introduction
    • 5.2. Global Apparel Software (Value)
      • 5.2.1. Global Apparel Software by: Type (Value)
        • 5.2.1.1. Apparel Business Management and ERP Software
        • 5.2.1.2. Apparel Design Software
        • 5.2.1.3. Other
      • 5.2.2. Global Apparel Software by: End User (Value)
        • 5.2.2.1. Fashion Manufacturers
        • 5.2.2.2. Retailers
        • 5.2.2.3. Distributers
      • 5.2.3. Global Apparel Software Region
        • 5.2.3.1. South America
          • 5.2.3.1.1. Brazil
          • 5.2.3.1.2. Argentina
          • 5.2.3.1.3. Rest of South America
        • 5.2.3.2. Asia Pacific
          • 5.2.3.2.1. China
          • 5.2.3.2.2. Japan
          • 5.2.3.2.3. India
          • 5.2.3.2.4. South Korea
          • 5.2.3.2.5. Taiwan
          • 5.2.3.2.6. Australia
          • 5.2.3.2.7. Rest of Asia-Pacific
        • 5.2.3.3. Europe
          • 5.2.3.3.1. Germany
          • 5.2.3.3.2. France
          • 5.2.3.3.3. Italy
          • 5.2.3.3.4. United Kingdom
          • 5.2.3.3.5. Netherlands
          • 5.2.3.3.6. Rest of Europe
        • 5.2.3.4. MEA
          • 5.2.3.4.1. Middle East
          • 5.2.3.4.2. Africa
        • 5.2.3.5. North America
          • 5.2.3.5.1. United States
          • 5.2.3.5.2. Canada
          • 5.2.3.5.3. Mexico
    • 5.3. Global Apparel Software (Price)
      • 5.3.1. Global Apparel Software by: Type (Price)
  • 6. Apparel Software: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2021)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Handshake by Shopify (United States)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. DecoNetwork (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Computer Generated Solutions (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. ApparelMagic (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. BlueCherry (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Softengine (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. WAIR (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. InkSoft (United States)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. StartMyLine (United States)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. NedGraphics (United States)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
      • 6.4.11. Wilcom International (Australia)
        • 6.4.11.1. Business Overview
        • 6.4.11.2. Products/Services Offerings
        • 6.4.11.3. Financial Analysis
        • 6.4.11.4. SWOT Analysis
      • 6.4.12. Flick2Know Technologies (India)
        • 6.4.12.1. Business Overview
        • 6.4.12.2. Products/Services Offerings
        • 6.4.12.3. Financial Analysis
        • 6.4.12.4. SWOT Analysis
  • 7. Global Apparel Software Sale, by Type, Organization Size , End User and Region (value and price ) (2022-2027)
    • 7.1. Introduction
    • 7.2. Global Apparel Software (Value)
      • 7.2.1. Global Apparel Software by: Type (Value)
        • 7.2.1.1. Apparel Business Management and ERP Software
        • 7.2.1.2. Apparel Design Software
        • 7.2.1.3. Other
      • 7.2.2. Global Apparel Software by: End User (Value)
        • 7.2.2.1. Fashion Manufacturers
        • 7.2.2.2. Retailers
        • 7.2.2.3. Distributers
      • 7.2.3. Global Apparel Software Region
        • 7.2.3.1. South America
          • 7.2.3.1.1. Brazil
          • 7.2.3.1.2. Argentina
          • 7.2.3.1.3. Rest of South America
        • 7.2.3.2. Asia Pacific
          • 7.2.3.2.1. China
          • 7.2.3.2.2. Japan
          • 7.2.3.2.3. India
          • 7.2.3.2.4. South Korea
          • 7.2.3.2.5. Taiwan
          • 7.2.3.2.6. Australia
          • 7.2.3.2.7. Rest of Asia-Pacific
        • 7.2.3.3. Europe
          • 7.2.3.3.1. Germany
          • 7.2.3.3.2. France
          • 7.2.3.3.3. Italy
          • 7.2.3.3.4. United Kingdom
          • 7.2.3.3.5. Netherlands
          • 7.2.3.3.6. Rest of Europe
        • 7.2.3.4. MEA
          • 7.2.3.4.1. Middle East
          • 7.2.3.4.2. Africa
        • 7.2.3.5. North America
          • 7.2.3.5.1. United States
          • 7.2.3.5.2. Canada
          • 7.2.3.5.3. Mexico
    • 7.3. Global Apparel Software (Price)
      • 7.3.1. Global Apparel Software by: Type (Price)
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Apparel Software: by Type(USD Million)
  • Table 2. Apparel Software Apparel Business Management and ERP Software , by Region USD Million (2016-2021)
  • Table 3. Apparel Software Apparel Design Software , by Region USD Million (2016-2021)
  • Table 4. Apparel Software Other , by Region USD Million (2016-2021)
  • Table 5. Apparel Software: by End User(USD Million)
  • Table 6. Apparel Software Fashion Manufacturers , by Region USD Million (2016-2021)
  • Table 7. Apparel Software Retailers , by Region USD Million (2016-2021)
  • Table 8. Apparel Software Distributers , by Region USD Million (2016-2021)
  • Table 9. South America Apparel Software, by Country USD Million (2016-2021)
  • Table 10. South America Apparel Software, by Type USD Million (2016-2021)
  • Table 11. South America Apparel Software, by Organization Size USD Million (2016-2021)
  • Table 12. South America Apparel Software, by End User USD Million (2016-2021)
  • Table 13. Brazil Apparel Software, by Type USD Million (2016-2021)
  • Table 14. Brazil Apparel Software, by Organization Size USD Million (2016-2021)
  • Table 15. Brazil Apparel Software, by End User USD Million (2016-2021)
  • Table 16. Argentina Apparel Software, by Type USD Million (2016-2021)
  • Table 17. Argentina Apparel Software, by Organization Size USD Million (2016-2021)
  • Table 18. Argentina Apparel Software, by End User USD Million (2016-2021)
  • Table 19. Rest of South America Apparel Software, by Type USD Million (2016-2021)
  • Table 20. Rest of South America Apparel Software, by Organization Size USD Million (2016-2021)
  • Table 21. Rest of South America Apparel Software, by End User USD Million (2016-2021)
  • Table 22. Asia Pacific Apparel Software, by Country USD Million (2016-2021)
  • Table 23. Asia Pacific Apparel Software, by Type USD Million (2016-2021)
  • Table 24. Asia Pacific Apparel Software, by Organization Size USD Million (2016-2021)
  • Table 25. Asia Pacific Apparel Software, by End User USD Million (2016-2021)
  • Table 26. China Apparel Software, by Type USD Million (2016-2021)
  • Table 27. China Apparel Software, by Organization Size USD Million (2016-2021)
  • Table 28. China Apparel Software, by End User USD Million (2016-2021)
  • Table 29. Japan Apparel Software, by Type USD Million (2016-2021)
  • Table 30. Japan Apparel Software, by Organization Size USD Million (2016-2021)
  • Table 31. Japan Apparel Software, by End User USD Million (2016-2021)
  • Table 32. India Apparel Software, by Type USD Million (2016-2021)
  • Table 33. India Apparel Software, by Organization Size USD Million (2016-2021)
  • Table 34. India Apparel Software, by End User USD Million (2016-2021)
  • Table 35. South Korea Apparel Software, by Type USD Million (2016-2021)
  • Table 36. South Korea Apparel Software, by Organization Size USD Million (2016-2021)
  • Table 37. South Korea Apparel Software, by End User USD Million (2016-2021)
  • Table 38. Taiwan Apparel Software, by Type USD Million (2016-2021)
  • Table 39. Taiwan Apparel Software, by Organization Size USD Million (2016-2021)
  • Table 40. Taiwan Apparel Software, by End User USD Million (2016-2021)
  • Table 41. Australia Apparel Software, by Type USD Million (2016-2021)
  • Table 42. Australia Apparel Software, by Organization Size USD Million (2016-2021)
  • Table 43. Australia Apparel Software, by End User USD Million (2016-2021)
  • Table 44. Rest of Asia-Pacific Apparel Software, by Type USD Million (2016-2021)
  • Table 45. Rest of Asia-Pacific Apparel Software, by Organization Size USD Million (2016-2021)
  • Table 46. Rest of Asia-Pacific Apparel Software, by End User USD Million (2016-2021)
  • Table 47. Europe Apparel Software, by Country USD Million (2016-2021)
  • Table 48. Europe Apparel Software, by Type USD Million (2016-2021)
  • Table 49. Europe Apparel Software, by Organization Size USD Million (2016-2021)
  • Table 50. Europe Apparel Software, by End User USD Million (2016-2021)
  • Table 51. Germany Apparel Software, by Type USD Million (2016-2021)
  • Table 52. Germany Apparel Software, by Organization Size USD Million (2016-2021)
  • Table 53. Germany Apparel Software, by End User USD Million (2016-2021)
  • Table 54. France Apparel Software, by Type USD Million (2016-2021)
  • Table 55. France Apparel Software, by Organization Size USD Million (2016-2021)
  • Table 56. France Apparel Software, by End User USD Million (2016-2021)
  • Table 57. Italy Apparel Software, by Type USD Million (2016-2021)
  • Table 58. Italy Apparel Software, by Organization Size USD Million (2016-2021)
  • Table 59. Italy Apparel Software, by End User USD Million (2016-2021)
  • Table 60. United Kingdom Apparel Software, by Type USD Million (2016-2021)
  • Table 61. United Kingdom Apparel Software, by Organization Size USD Million (2016-2021)
  • Table 62. United Kingdom Apparel Software, by End User USD Million (2016-2021)
  • Table 63. Netherlands Apparel Software, by Type USD Million (2016-2021)
  • Table 64. Netherlands Apparel Software, by Organization Size USD Million (2016-2021)
  • Table 65. Netherlands Apparel Software, by End User USD Million (2016-2021)
  • Table 66. Rest of Europe Apparel Software, by Type USD Million (2016-2021)
  • Table 67. Rest of Europe Apparel Software, by Organization Size USD Million (2016-2021)
  • Table 68. Rest of Europe Apparel Software, by End User USD Million (2016-2021)
  • Table 69. MEA Apparel Software, by Country USD Million (2016-2021)
  • Table 70. MEA Apparel Software, by Type USD Million (2016-2021)
  • Table 71. MEA Apparel Software, by Organization Size USD Million (2016-2021)
  • Table 72. MEA Apparel Software, by End User USD Million (2016-2021)
  • Table 73. Middle East Apparel Software, by Type USD Million (2016-2021)
  • Table 74. Middle East Apparel Software, by Organization Size USD Million (2016-2021)
  • Table 75. Middle East Apparel Software, by End User USD Million (2016-2021)
  • Table 76. Africa Apparel Software, by Type USD Million (2016-2021)
  • Table 77. Africa Apparel Software, by Organization Size USD Million (2016-2021)
  • Table 78. Africa Apparel Software, by End User USD Million (2016-2021)
  • Table 79. North America Apparel Software, by Country USD Million (2016-2021)
  • Table 80. North America Apparel Software, by Type USD Million (2016-2021)
  • Table 81. North America Apparel Software, by Organization Size USD Million (2016-2021)
  • Table 82. North America Apparel Software, by End User USD Million (2016-2021)
  • Table 83. United States Apparel Software, by Type USD Million (2016-2021)
  • Table 84. United States Apparel Software, by Organization Size USD Million (2016-2021)
  • Table 85. United States Apparel Software, by End User USD Million (2016-2021)
  • Table 86. Canada Apparel Software, by Type USD Million (2016-2021)
  • Table 87. Canada Apparel Software, by Organization Size USD Million (2016-2021)
  • Table 88. Canada Apparel Software, by End User USD Million (2016-2021)
  • Table 89. Mexico Apparel Software, by Type USD Million (2016-2021)
  • Table 90. Mexico Apparel Software, by Organization Size USD Million (2016-2021)
  • Table 91. Mexico Apparel Software, by End User USD Million (2016-2021)
  • Table 92. Apparel Software: by Type(USD/Units)
  • Table 93. Company Basic Information, Sales Area and Its Competitors
  • Table 94. Company Basic Information, Sales Area and Its Competitors
  • Table 95. Company Basic Information, Sales Area and Its Competitors
  • Table 96. Company Basic Information, Sales Area and Its Competitors
  • Table 97. Company Basic Information, Sales Area and Its Competitors
  • Table 98. Company Basic Information, Sales Area and Its Competitors
  • Table 99. Company Basic Information, Sales Area and Its Competitors
  • Table 100. Company Basic Information, Sales Area and Its Competitors
  • Table 101. Company Basic Information, Sales Area and Its Competitors
  • Table 102. Company Basic Information, Sales Area and Its Competitors
  • Table 103. Company Basic Information, Sales Area and Its Competitors
  • Table 104. Company Basic Information, Sales Area and Its Competitors
  • Table 105. Apparel Software: by Type(USD Million)
  • Table 106. Apparel Software Apparel Business Management and ERP Software , by Region USD Million (2022-2027)
  • Table 107. Apparel Software Apparel Design Software , by Region USD Million (2022-2027)
  • Table 108. Apparel Software Other , by Region USD Million (2022-2027)
  • Table 109. Apparel Software: by End User(USD Million)
  • Table 110. Apparel Software Fashion Manufacturers , by Region USD Million (2022-2027)
  • Table 111. Apparel Software Retailers , by Region USD Million (2022-2027)
  • Table 112. Apparel Software Distributers , by Region USD Million (2022-2027)
  • Table 113. South America Apparel Software, by Country USD Million (2022-2027)
  • Table 114. South America Apparel Software, by Type USD Million (2022-2027)
  • Table 115. South America Apparel Software, by Organization Size USD Million (2022-2027)
  • Table 116. South America Apparel Software, by End User USD Million (2022-2027)
  • Table 117. Brazil Apparel Software, by Type USD Million (2022-2027)
  • Table 118. Brazil Apparel Software, by Organization Size USD Million (2022-2027)
  • Table 119. Brazil Apparel Software, by End User USD Million (2022-2027)
  • Table 120. Argentina Apparel Software, by Type USD Million (2022-2027)
  • Table 121. Argentina Apparel Software, by Organization Size USD Million (2022-2027)
  • Table 122. Argentina Apparel Software, by End User USD Million (2022-2027)
  • Table 123. Rest of South America Apparel Software, by Type USD Million (2022-2027)
  • Table 124. Rest of South America Apparel Software, by Organization Size USD Million (2022-2027)
  • Table 125. Rest of South America Apparel Software, by End User USD Million (2022-2027)
  • Table 126. Asia Pacific Apparel Software, by Country USD Million (2022-2027)
  • Table 127. Asia Pacific Apparel Software, by Type USD Million (2022-2027)
  • Table 128. Asia Pacific Apparel Software, by Organization Size USD Million (2022-2027)
  • Table 129. Asia Pacific Apparel Software, by End User USD Million (2022-2027)
  • Table 130. China Apparel Software, by Type USD Million (2022-2027)
  • Table 131. China Apparel Software, by Organization Size USD Million (2022-2027)
  • Table 132. China Apparel Software, by End User USD Million (2022-2027)
  • Table 133. Japan Apparel Software, by Type USD Million (2022-2027)
  • Table 134. Japan Apparel Software, by Organization Size USD Million (2022-2027)
  • Table 135. Japan Apparel Software, by End User USD Million (2022-2027)
  • Table 136. India Apparel Software, by Type USD Million (2022-2027)
  • Table 137. India Apparel Software, by Organization Size USD Million (2022-2027)
  • Table 138. India Apparel Software, by End User USD Million (2022-2027)
  • Table 139. South Korea Apparel Software, by Type USD Million (2022-2027)
  • Table 140. South Korea Apparel Software, by Organization Size USD Million (2022-2027)
  • Table 141. South Korea Apparel Software, by End User USD Million (2022-2027)
  • Table 142. Taiwan Apparel Software, by Type USD Million (2022-2027)
  • Table 143. Taiwan Apparel Software, by Organization Size USD Million (2022-2027)
  • Table 144. Taiwan Apparel Software, by End User USD Million (2022-2027)
  • Table 145. Australia Apparel Software, by Type USD Million (2022-2027)
  • Table 146. Australia Apparel Software, by Organization Size USD Million (2022-2027)
  • Table 147. Australia Apparel Software, by End User USD Million (2022-2027)
  • Table 148. Rest of Asia-Pacific Apparel Software, by Type USD Million (2022-2027)
  • Table 149. Rest of Asia-Pacific Apparel Software, by Organization Size USD Million (2022-2027)
  • Table 150. Rest of Asia-Pacific Apparel Software, by End User USD Million (2022-2027)
  • Table 151. Europe Apparel Software, by Country USD Million (2022-2027)
  • Table 152. Europe Apparel Software, by Type USD Million (2022-2027)
  • Table 153. Europe Apparel Software, by Organization Size USD Million (2022-2027)
  • Table 154. Europe Apparel Software, by End User USD Million (2022-2027)
  • Table 155. Germany Apparel Software, by Type USD Million (2022-2027)
  • Table 156. Germany Apparel Software, by Organization Size USD Million (2022-2027)
  • Table 157. Germany Apparel Software, by End User USD Million (2022-2027)
  • Table 158. France Apparel Software, by Type USD Million (2022-2027)
  • Table 159. France Apparel Software, by Organization Size USD Million (2022-2027)
  • Table 160. France Apparel Software, by End User USD Million (2022-2027)
  • Table 161. Italy Apparel Software, by Type USD Million (2022-2027)
  • Table 162. Italy Apparel Software, by Organization Size USD Million (2022-2027)
  • Table 163. Italy Apparel Software, by End User USD Million (2022-2027)
  • Table 164. United Kingdom Apparel Software, by Type USD Million (2022-2027)
  • Table 165. United Kingdom Apparel Software, by Organization Size USD Million (2022-2027)
  • Table 166. United Kingdom Apparel Software, by End User USD Million (2022-2027)
  • Table 167. Netherlands Apparel Software, by Type USD Million (2022-2027)
  • Table 168. Netherlands Apparel Software, by Organization Size USD Million (2022-2027)
  • Table 169. Netherlands Apparel Software, by End User USD Million (2022-2027)
  • Table 170. Rest of Europe Apparel Software, by Type USD Million (2022-2027)
  • Table 171. Rest of Europe Apparel Software, by Organization Size USD Million (2022-2027)
  • Table 172. Rest of Europe Apparel Software, by End User USD Million (2022-2027)
  • Table 173. MEA Apparel Software, by Country USD Million (2022-2027)
  • Table 174. MEA Apparel Software, by Type USD Million (2022-2027)
  • Table 175. MEA Apparel Software, by Organization Size USD Million (2022-2027)
  • Table 176. MEA Apparel Software, by End User USD Million (2022-2027)
  • Table 177. Middle East Apparel Software, by Type USD Million (2022-2027)
  • Table 178. Middle East Apparel Software, by Organization Size USD Million (2022-2027)
  • Table 179. Middle East Apparel Software, by End User USD Million (2022-2027)
  • Table 180. Africa Apparel Software, by Type USD Million (2022-2027)
  • Table 181. Africa Apparel Software, by Organization Size USD Million (2022-2027)
  • Table 182. Africa Apparel Software, by End User USD Million (2022-2027)
  • Table 183. North America Apparel Software, by Country USD Million (2022-2027)
  • Table 184. North America Apparel Software, by Type USD Million (2022-2027)
  • Table 185. North America Apparel Software, by Organization Size USD Million (2022-2027)
  • Table 186. North America Apparel Software, by End User USD Million (2022-2027)
  • Table 187. United States Apparel Software, by Type USD Million (2022-2027)
  • Table 188. United States Apparel Software, by Organization Size USD Million (2022-2027)
  • Table 189. United States Apparel Software, by End User USD Million (2022-2027)
  • Table 190. Canada Apparel Software, by Type USD Million (2022-2027)
  • Table 191. Canada Apparel Software, by Organization Size USD Million (2022-2027)
  • Table 192. Canada Apparel Software, by End User USD Million (2022-2027)
  • Table 193. Mexico Apparel Software, by Type USD Million (2022-2027)
  • Table 194. Mexico Apparel Software, by Organization Size USD Million (2022-2027)
  • Table 195. Mexico Apparel Software, by End User USD Million (2022-2027)
  • Table 196. Apparel Software: by Type(USD/Units)
  • Table 197. Research Programs/Design for This Report
  • Table 198. Key Data Information from Secondary Sources
  • Table 199. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Apparel Software: by Type USD Million (2016-2021)
  • Figure 5. Global Apparel Software: by End User USD Million (2016-2021)
  • Figure 6. South America Apparel Software Share (%), by Country
  • Figure 7. Asia Pacific Apparel Software Share (%), by Country
  • Figure 8. Europe Apparel Software Share (%), by Country
  • Figure 9. MEA Apparel Software Share (%), by Country
  • Figure 10. North America Apparel Software Share (%), by Country
  • Figure 11. Global Apparel Software: by Type USD/Units (2016-2021)
  • Figure 12. Global Apparel Software share by Players 2021 (%)
  • Figure 13. Global Apparel Software share by Players (Top 3) 2021(%)
  • Figure 14. Global Apparel Software share by Players (Top 5) 2021(%)
  • Figure 15. BCG Matrix for key Companies
  • Figure 16. Handshake by Shopify (United States) Revenue, Net Income and Gross profit
  • Figure 17. Handshake by Shopify (United States) Revenue: by Geography 2021
  • Figure 18. DecoNetwork (United States) Revenue, Net Income and Gross profit
  • Figure 19. DecoNetwork (United States) Revenue: by Geography 2021
  • Figure 20. Computer Generated Solutions (United States) Revenue, Net Income and Gross profit
  • Figure 21. Computer Generated Solutions (United States) Revenue: by Geography 2021
  • Figure 22. ApparelMagic (United States) Revenue, Net Income and Gross profit
  • Figure 23. ApparelMagic (United States) Revenue: by Geography 2021
  • Figure 24. BlueCherry (United States) Revenue, Net Income and Gross profit
  • Figure 25. BlueCherry (United States) Revenue: by Geography 2021
  • Figure 26. Softengine (United States) Revenue, Net Income and Gross profit
  • Figure 27. Softengine (United States) Revenue: by Geography 2021
  • Figure 28. WAIR (United States) Revenue, Net Income and Gross profit
  • Figure 29. WAIR (United States) Revenue: by Geography 2021
  • Figure 30. InkSoft (United States) Revenue, Net Income and Gross profit
  • Figure 31. InkSoft (United States) Revenue: by Geography 2021
  • Figure 32. StartMyLine (United States) Revenue, Net Income and Gross profit
  • Figure 33. StartMyLine (United States) Revenue: by Geography 2021
  • Figure 34. NedGraphics (United States) Revenue, Net Income and Gross profit
  • Figure 35. NedGraphics (United States) Revenue: by Geography 2021
  • Figure 36. Wilcom International (Australia) Revenue, Net Income and Gross profit
  • Figure 37. Wilcom International (Australia) Revenue: by Geography 2021
  • Figure 38. Flick2Know Technologies (India) Revenue, Net Income and Gross profit
  • Figure 39. Flick2Know Technologies (India) Revenue: by Geography 2021
  • Figure 40. Global Apparel Software: by Type USD Million (2022-2027)
  • Figure 41. Global Apparel Software: by End User USD Million (2022-2027)
  • Figure 42. South America Apparel Software Share (%), by Country
  • Figure 43. Asia Pacific Apparel Software Share (%), by Country
  • Figure 44. Europe Apparel Software Share (%), by Country
  • Figure 45. MEA Apparel Software Share (%), by Country
  • Figure 46. North America Apparel Software Share (%), by Country
  • Figure 47. Global Apparel Software: by Type USD/Units (2022-2027)
List of companies from research coverage that are profiled in the study
  • Handshake by Shopify (United States)
  • DecoNetwork (United States)
  • Computer Generated Solutions (United States)
  • ApparelMagic (United States)
  • BlueCherry (United States)
  • Softengine (United States)
  • WAIR (United States)
  • InkSoft (United States)
  • StartMyLine (United States)
  • NedGraphics (United States)
  • Wilcom International (Australia)
  • Flick2Know Technologies (India)
Additional players considered in the study are as follows:
SAF Technologies (United States) , Bookalook (United Kingdom) , Aspiring Technologies (Saudi Arabia) , FundCount (United States)
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Key Highlights of Report


Sep 2022 205 Pages 80 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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Apparel Software Quantitative research analysis
Apparel Software Qualitative Industry Analysis
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Frequently Asked Questions (FAQ):

The standard version of the report profiles players such as Handshake by Shopify (United States), DecoNetwork (United States), Computer Generated Solutions (United States), ApparelMagic (United States), BlueCherry (United States), Softengine (United States), WAIR (United States), InkSoft (United States), StartMyLine (United States), NedGraphics (United States), Wilcom International (Australia) and Flick2Know Technologies (India) etc.
The Study can be customized subject to feasibility and data availability. Please connect with our sales representative for further information.
"Wearable Devices like Smartwatches, Fitness Trackers, and many others are one of the most Striking Technological Trends in the Fashion Industry " is seen as one of major influencing trends for Apparel Software Market during projected period 2021-2027.
The Apparel Software market study includes a random mix of players, including both market leaders and some top growing emerging players. Connect with our sales executive to get a complete company list in our research coverage.

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