Global Employee Scheduling Software
Global Employee Scheduling Software

Employee Scheduling Software Comprehensive Study by Type (Cloud, SaaS, Web, Mobile Android Native, Mobile iOS Native, Other), Organization Size (Small Business, Midsize Enterprise, Large Enterprise, Other) Players and Region - Global Market Outlook to 2024

Employee Scheduling Software Market Segmented into XX Submarkets. | Forecast Years: 2019- 2024  

Apr 2019 Edition 210 Pages 212 Tables & Figures
  • Summary
  • Market Segments
  • Table of Content
  • List of Tables & Figures
  • Companies Mentioned
Scope of the Study
Rising Demand for business automation will help to boost global Employee Scheduling software Market. Employee scheduling software is also called as appointment booking software and online booking software. This allows businesses and professionals to manage scheduling appointments and bookings. Top features includes employee and customer management, appointment reminders, and calendar integration. Additionally, it offers various solutions such as revenue processing, payment processing, and mobile compatibility.

The market study is being classified by Type (Cloud, SaaS, Web, Mobile Android Native, Mobile iOS Native and Other) and major geographies with country level break-up.

Acuity Scheduling (United States), Simplybook.me (Cyprus), Appointy (United States), SetMore (United States), MyTime (United States), TimeTrade (United States), Pulse 24/7 (United States), Calendly (United States), Bobclass (United Kingdom) and Shortcuts Software (United States) are some of the key players profiled in the study. Additionally, the Players which are also part of the research are Veribook (Canada), Cirrus Insight (United States), CozyCal (Canada), Square (United States) and MINDBODY (United States).

Key vendors are adopting numerous strategy to gain market share and to increase their market attention, this strategy can be listed as growing product portfolio, making a partnership to implement certain technologies and acquiring small vendors to finish the competition in the future Research Analyst at AMA predicts that United States Players will contribute to the maximum growth of Global Employee Scheduling Software market throughout the predicted period.

Segment Analysis
AdvanceMarketAnalytics has segmented the market of Global Employee Scheduling Software market by Type, Application and Region.

On the basis of geography, the market of Employee Scheduling 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). North America region held largest market share in the year 2018. Europe on the other hand stood as second largest market due to the presence of key companies into the region and high technological advancement. If we see Market by Organization Size, the sub-segment i.e. Small Business will boost the Employee Scheduling Software market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Market Drivers
  • Rapid Adoption of Social Media and Growing Numbers of Mobile Users across the World
  • Increasing Adoption of Cloud-Based Technology in Every Size of Industries in Developed Economies

Market Trend
  • Features Including High Scalability, Ease Of Use, High Customization and Mobile Support
  • Technological Up-Gradations in Software Due To High Investments by Key Player

Restraints
  • Increasing Cyber Attacks and Lack of Data Privacy

Opportunities
  • Surging Numbers of SMEs and Adoption of Cloud Services in Developing Countries
  • Increasing Demand for Business Automation

Challenges
  • Lack of Technical Skills
  • Lack of Awareness among Enterprises in both Developing and Underdeveloped Nations





Key Target Audience
Employee Scheduling Software Providers, Cloud Service Providers, System Integrators, Government Organizations, Government Regulatory Bodies, Private and Government Research Organizations, End-Users and Others

Customization in the Report Available:
The Study can be customized to meet your requirements. Please connect with our representative, who will ensure you get a report that suits your needs.
Data related to EXIM [Export- Import], production & consumption by country or regional level break-up can be provided based on client request**
** Confirmation on availability of data would be informed prior purchase
Report Objectives / Segmentation Covered
By Type
  • Cloud, SaaS, Web
  • Mobile Android Native
  • Mobile iOS Native
  • Other
By Organization Size
  • Small Business
  • Midsize Enterprise
  • Large Enterprise
  • Other

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. Rapid Adoption of Social Media and Growing Numbers of Mobile Users across the World
      • 3.2.2. Increasing Adoption of Cloud-Based Technology in Every Size of Industries in Developed Economies
    • 3.3. Market Challenges
      • 3.3.1. Lack of Technical Skills
      • 3.3.2. Lack of Awareness among Enterprises in both Developing and Underdeveloped Nations
    • 3.4. Market Trends
      • 3.4.1. Features Including High Scalability, Ease Of Use, High Customization and Mobile Support
      • 3.4.2. Technological Up-Gradations in Software Due To High Investments by Key Player
  • 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 Employee Scheduling Software, by Type, Organization Size and Region (value) (2013-2018)
    • 5.1. Introduction
    • 5.2. Global Employee Scheduling Software (Value)
      • 5.2.1. Global Employee Scheduling Software by: Type (Value)
        • 5.2.1.1. Cloud, SaaS, Web
        • 5.2.1.2. Mobile Android Native
        • 5.2.1.3. Mobile iOS Native
        • 5.2.1.4. Other
      • 5.2.2. Global Employee Scheduling Software by: Organization Size (Value)
        • 5.2.2.1. Small Business
        • 5.2.2.2. Midsize Enterprise
        • 5.2.2.3. Large Enterprise
        • 5.2.2.4. Other
      • 5.2.3. Global Employee Scheduling 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
  • 6. Employee Scheduling 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 (2018)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Acuity Scheduling (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. Simplybook.me (Cyprus)
        • 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. Appointy (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. SetMore (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. MyTime (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. TimeTrade (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. Pulse 24/7 (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. Calendly (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. Bobclass (United Kingdom)
        • 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. Shortcuts Software (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
  • 7. Global Employee Scheduling Software Sale, by Type, Organization Size and Region (value) (2019-2024)
    • 7.1. Introduction
    • 7.2. Global Employee Scheduling Software (Value)
      • 7.2.1. Global Employee Scheduling Software by: Type (Value)
        • 7.2.1.1. Cloud, SaaS, Web
        • 7.2.1.2. Mobile Android Native
        • 7.2.1.3. Mobile iOS Native
        • 7.2.1.4. Other
      • 7.2.2. Global Employee Scheduling Software by: Organization Size (Value)
        • 7.2.2.1. Small Business
        • 7.2.2.2. Midsize Enterprise
        • 7.2.2.3. Large Enterprise
        • 7.2.2.4. Other
      • 7.2.3. Global Employee Scheduling 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
  • 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. Employee Scheduling Software: by Type(USD Million)
  • Table 2. Employee Scheduling Software Cloud, SaaS, Web , by Region USD Million (2013-2018)
  • Table 3. Employee Scheduling Software Mobile Android Native , by Region USD Million (2013-2018)
  • Table 4. Employee Scheduling Software Mobile iOS Native , by Region USD Million (2013-2018)
  • Table 5. Employee Scheduling Software Other , by Region USD Million (2013-2018)
  • Table 6. Employee Scheduling Software: by Organization Size(USD Million)
  • Table 7. Employee Scheduling Software Small Business , by Region USD Million (2013-2018)
  • Table 8. Employee Scheduling Software Midsize Enterprise , by Region USD Million (2013-2018)
  • Table 9. Employee Scheduling Software Large Enterprise , by Region USD Million (2013-2018)
  • Table 10. Employee Scheduling Software Other , by Region USD Million (2013-2018)
  • Table 11. South America Employee Scheduling Software, by Country USD Million (2013-2018)
  • Table 12. South America Employee Scheduling Software, by Type USD Million (2013-2018)
  • Table 13. South America Employee Scheduling Software, by Organization Size USD Million (2013-2018)
  • Table 14. Brazil Employee Scheduling Software, by Type USD Million (2013-2018)
  • Table 15. Brazil Employee Scheduling Software, by Organization Size USD Million (2013-2018)
  • Table 16. Argentina Employee Scheduling Software, by Type USD Million (2013-2018)
  • Table 17. Argentina Employee Scheduling Software, by Organization Size USD Million (2013-2018)
  • Table 18. Rest of South America Employee Scheduling Software, by Type USD Million (2013-2018)
  • Table 19. Rest of South America Employee Scheduling Software, by Organization Size USD Million (2013-2018)
  • Table 20. Asia Pacific Employee Scheduling Software, by Country USD Million (2013-2018)
  • Table 21. Asia Pacific Employee Scheduling Software, by Type USD Million (2013-2018)
  • Table 22. Asia Pacific Employee Scheduling Software, by Organization Size USD Million (2013-2018)
  • Table 23. China Employee Scheduling Software, by Type USD Million (2013-2018)
  • Table 24. China Employee Scheduling Software, by Organization Size USD Million (2013-2018)
  • Table 25. Japan Employee Scheduling Software, by Type USD Million (2013-2018)
  • Table 26. Japan Employee Scheduling Software, by Organization Size USD Million (2013-2018)
  • Table 27. India Employee Scheduling Software, by Type USD Million (2013-2018)
  • Table 28. India Employee Scheduling Software, by Organization Size USD Million (2013-2018)
  • Table 29. South Korea Employee Scheduling Software, by Type USD Million (2013-2018)
  • Table 30. South Korea Employee Scheduling Software, by Organization Size USD Million (2013-2018)
  • Table 31. Taiwan Employee Scheduling Software, by Type USD Million (2013-2018)
  • Table 32. Taiwan Employee Scheduling Software, by Organization Size USD Million (2013-2018)
  • Table 33. Australia Employee Scheduling Software, by Type USD Million (2013-2018)
  • Table 34. Australia Employee Scheduling Software, by Organization Size USD Million (2013-2018)
  • Table 35. Rest of Asia-Pacific Employee Scheduling Software, by Type USD Million (2013-2018)
  • Table 36. Rest of Asia-Pacific Employee Scheduling Software, by Organization Size USD Million (2013-2018)
  • Table 37. Europe Employee Scheduling Software, by Country USD Million (2013-2018)
  • Table 38. Europe Employee Scheduling Software, by Type USD Million (2013-2018)
  • Table 39. Europe Employee Scheduling Software, by Organization Size USD Million (2013-2018)
  • Table 40. Germany Employee Scheduling Software, by Type USD Million (2013-2018)
  • Table 41. Germany Employee Scheduling Software, by Organization Size USD Million (2013-2018)
  • Table 42. France Employee Scheduling Software, by Type USD Million (2013-2018)
  • Table 43. France Employee Scheduling Software, by Organization Size USD Million (2013-2018)
  • Table 44. Italy Employee Scheduling Software, by Type USD Million (2013-2018)
  • Table 45. Italy Employee Scheduling Software, by Organization Size USD Million (2013-2018)
  • Table 46. United Kingdom Employee Scheduling Software, by Type USD Million (2013-2018)
  • Table 47. United Kingdom Employee Scheduling Software, by Organization Size USD Million (2013-2018)
  • Table 48. Netherlands Employee Scheduling Software, by Type USD Million (2013-2018)
  • Table 49. Netherlands Employee Scheduling Software, by Organization Size USD Million (2013-2018)
  • Table 50. Rest of Europe Employee Scheduling Software, by Type USD Million (2013-2018)
  • Table 51. Rest of Europe Employee Scheduling Software, by Organization Size USD Million (2013-2018)
  • Table 52. MEA Employee Scheduling Software, by Country USD Million (2013-2018)
  • Table 53. MEA Employee Scheduling Software, by Type USD Million (2013-2018)
  • Table 54. MEA Employee Scheduling Software, by Organization Size USD Million (2013-2018)
  • Table 55. Middle East Employee Scheduling Software, by Type USD Million (2013-2018)
  • Table 56. Middle East Employee Scheduling Software, by Organization Size USD Million (2013-2018)
  • Table 57. Africa Employee Scheduling Software, by Type USD Million (2013-2018)
  • Table 58. Africa Employee Scheduling Software, by Organization Size USD Million (2013-2018)
  • Table 59. North America Employee Scheduling Software, by Country USD Million (2013-2018)
  • Table 60. North America Employee Scheduling Software, by Type USD Million (2013-2018)
  • Table 61. North America Employee Scheduling Software, by Organization Size USD Million (2013-2018)
  • Table 62. United States Employee Scheduling Software, by Type USD Million (2013-2018)
  • Table 63. United States Employee Scheduling Software, by Organization Size USD Million (2013-2018)
  • Table 64. Canada Employee Scheduling Software, by Type USD Million (2013-2018)
  • Table 65. Canada Employee Scheduling Software, by Organization Size USD Million (2013-2018)
  • Table 66. Mexico Employee Scheduling Software, by Type USD Million (2013-2018)
  • Table 67. Mexico Employee Scheduling Software, by Organization Size USD Million (2013-2018)
  • Table 68. Company Basic Information, Sales Area and Its Competitors
  • Table 69. Company Basic Information, Sales Area and Its Competitors
  • Table 70. Company Basic Information, Sales Area and Its Competitors
  • Table 71. Company Basic Information, Sales Area and Its Competitors
  • Table 72. Company Basic Information, Sales Area and Its Competitors
  • Table 73. Company Basic Information, Sales Area and Its Competitors
  • Table 74. Company Basic Information, Sales Area and Its Competitors
  • Table 75. Company Basic Information, Sales Area and Its Competitors
  • Table 76. Company Basic Information, Sales Area and Its Competitors
  • Table 77. Company Basic Information, Sales Area and Its Competitors
  • Table 78. Employee Scheduling Software: by Type(USD Million)
  • Table 79. Employee Scheduling Software Cloud, SaaS, Web , by Region USD Million (2019-2024)
  • Table 80. Employee Scheduling Software Mobile Android Native , by Region USD Million (2019-2024)
  • Table 81. Employee Scheduling Software Mobile iOS Native , by Region USD Million (2019-2024)
  • Table 82. Employee Scheduling Software Other , by Region USD Million (2019-2024)
  • Table 83. Employee Scheduling Software: by Organization Size(USD Million)
  • Table 84. Employee Scheduling Software Small Business , by Region USD Million (2019-2024)
  • Table 85. Employee Scheduling Software Midsize Enterprise , by Region USD Million (2019-2024)
  • Table 86. Employee Scheduling Software Large Enterprise , by Region USD Million (2019-2024)
  • Table 87. Employee Scheduling Software Other , by Region USD Million (2019-2024)
  • Table 88. South America Employee Scheduling Software, by Country USD Million (2019-2024)
  • Table 89. South America Employee Scheduling Software, by Type USD Million (2019-2024)
  • Table 90. South America Employee Scheduling Software, by Organization Size USD Million (2019-2024)
  • Table 91. Brazil Employee Scheduling Software, by Type USD Million (2019-2024)
  • Table 92. Brazil Employee Scheduling Software, by Organization Size USD Million (2019-2024)
  • Table 93. Argentina Employee Scheduling Software, by Type USD Million (2019-2024)
  • Table 94. Argentina Employee Scheduling Software, by Organization Size USD Million (2019-2024)
  • Table 95. Rest of South America Employee Scheduling Software, by Type USD Million (2019-2024)
  • Table 96. Rest of South America Employee Scheduling Software, by Organization Size USD Million (2019-2024)
  • Table 97. Asia Pacific Employee Scheduling Software, by Country USD Million (2019-2024)
  • Table 98. Asia Pacific Employee Scheduling Software, by Type USD Million (2019-2024)
  • Table 99. Asia Pacific Employee Scheduling Software, by Organization Size USD Million (2019-2024)
  • Table 100. China Employee Scheduling Software, by Type USD Million (2019-2024)
  • Table 101. China Employee Scheduling Software, by Organization Size USD Million (2019-2024)
  • Table 102. Japan Employee Scheduling Software, by Type USD Million (2019-2024)
  • Table 103. Japan Employee Scheduling Software, by Organization Size USD Million (2019-2024)
  • Table 104. India Employee Scheduling Software, by Type USD Million (2019-2024)
  • Table 105. India Employee Scheduling Software, by Organization Size USD Million (2019-2024)
  • Table 106. South Korea Employee Scheduling Software, by Type USD Million (2019-2024)
  • Table 107. South Korea Employee Scheduling Software, by Organization Size USD Million (2019-2024)
  • Table 108. Taiwan Employee Scheduling Software, by Type USD Million (2019-2024)
  • Table 109. Taiwan Employee Scheduling Software, by Organization Size USD Million (2019-2024)
  • Table 110. Australia Employee Scheduling Software, by Type USD Million (2019-2024)
  • Table 111. Australia Employee Scheduling Software, by Organization Size USD Million (2019-2024)
  • Table 112. Rest of Asia-Pacific Employee Scheduling Software, by Type USD Million (2019-2024)
  • Table 113. Rest of Asia-Pacific Employee Scheduling Software, by Organization Size USD Million (2019-2024)
  • Table 114. Europe Employee Scheduling Software, by Country USD Million (2019-2024)
  • Table 115. Europe Employee Scheduling Software, by Type USD Million (2019-2024)
  • Table 116. Europe Employee Scheduling Software, by Organization Size USD Million (2019-2024)
  • Table 117. Germany Employee Scheduling Software, by Type USD Million (2019-2024)
  • Table 118. Germany Employee Scheduling Software, by Organization Size USD Million (2019-2024)
  • Table 119. France Employee Scheduling Software, by Type USD Million (2019-2024)
  • Table 120. France Employee Scheduling Software, by Organization Size USD Million (2019-2024)
  • Table 121. Italy Employee Scheduling Software, by Type USD Million (2019-2024)
  • Table 122. Italy Employee Scheduling Software, by Organization Size USD Million (2019-2024)
  • Table 123. United Kingdom Employee Scheduling Software, by Type USD Million (2019-2024)
  • Table 124. United Kingdom Employee Scheduling Software, by Organization Size USD Million (2019-2024)
  • Table 125. Netherlands Employee Scheduling Software, by Type USD Million (2019-2024)
  • Table 126. Netherlands Employee Scheduling Software, by Organization Size USD Million (2019-2024)
  • Table 127. Rest of Europe Employee Scheduling Software, by Type USD Million (2019-2024)
  • Table 128. Rest of Europe Employee Scheduling Software, by Organization Size USD Million (2019-2024)
  • Table 129. MEA Employee Scheduling Software, by Country USD Million (2019-2024)
  • Table 130. MEA Employee Scheduling Software, by Type USD Million (2019-2024)
  • Table 131. MEA Employee Scheduling Software, by Organization Size USD Million (2019-2024)
  • Table 132. Middle East Employee Scheduling Software, by Type USD Million (2019-2024)
  • Table 133. Middle East Employee Scheduling Software, by Organization Size USD Million (2019-2024)
  • Table 134. Africa Employee Scheduling Software, by Type USD Million (2019-2024)
  • Table 135. Africa Employee Scheduling Software, by Organization Size USD Million (2019-2024)
  • Table 136. North America Employee Scheduling Software, by Country USD Million (2019-2024)
  • Table 137. North America Employee Scheduling Software, by Type USD Million (2019-2024)
  • Table 138. North America Employee Scheduling Software, by Organization Size USD Million (2019-2024)
  • Table 139. United States Employee Scheduling Software, by Type USD Million (2019-2024)
  • Table 140. United States Employee Scheduling Software, by Organization Size USD Million (2019-2024)
  • Table 141. Canada Employee Scheduling Software, by Type USD Million (2019-2024)
  • Table 142. Canada Employee Scheduling Software, by Organization Size USD Million (2019-2024)
  • Table 143. Mexico Employee Scheduling Software, by Type USD Million (2019-2024)
  • Table 144. Mexico Employee Scheduling Software, by Organization Size USD Million (2019-2024)
  • Table 145. Research Programs/Design for This Report
  • Table 146. Key Data Information from Secondary Sources
  • Table 147. 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 Employee Scheduling Software: by Type USD Million (2013-2018)
  • Figure 5. Global Employee Scheduling Software: by Organization Size USD Million (2013-2018)
  • Figure 6. South America Employee Scheduling Software Share (%), by Country
  • Figure 7. Asia Pacific Employee Scheduling Software Share (%), by Country
  • Figure 8. Europe Employee Scheduling Software Share (%), by Country
  • Figure 9. MEA Employee Scheduling Software Share (%), by Country
  • Figure 10. North America Employee Scheduling Software Share (%), by Country
  • Figure 11. Global Employee Scheduling Software share by Players 2018 (%)
  • Figure 12. Global Employee Scheduling Software share by Players (Top 3) 2018(%)
  • Figure 13. Global Employee Scheduling Software share by Players (Top 5) 2018(%)
  • Figure 14. BCG Matrix for key Companies
  • Figure 15. Acuity Scheduling (United States) Revenue, Net Income and Gross profit
  • Figure 16. Acuity Scheduling (United States) Revenue: by Geography 2018
  • Figure 17. Simplybook.me (Cyprus) Revenue, Net Income and Gross profit
  • Figure 18. Simplybook.me (Cyprus) Revenue: by Geography 2018
  • Figure 19. Appointy (United States) Revenue, Net Income and Gross profit
  • Figure 20. Appointy (United States) Revenue: by Geography 2018
  • Figure 21. SetMore (United States) Revenue, Net Income and Gross profit
  • Figure 22. SetMore (United States) Revenue: by Geography 2018
  • Figure 23. MyTime (United States) Revenue, Net Income and Gross profit
  • Figure 24. MyTime (United States) Revenue: by Geography 2018
  • Figure 25. TimeTrade (United States) Revenue, Net Income and Gross profit
  • Figure 26. TimeTrade (United States) Revenue: by Geography 2018
  • Figure 27. Pulse 24/7 (United States) Revenue, Net Income and Gross profit
  • Figure 28. Pulse 24/7 (United States) Revenue: by Geography 2018
  • Figure 29. Calendly (United States) Revenue, Net Income and Gross profit
  • Figure 30. Calendly (United States) Revenue: by Geography 2018
  • Figure 31. Bobclass (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 32. Bobclass (United Kingdom) Revenue: by Geography 2018
  • Figure 33. Shortcuts Software (United States) Revenue, Net Income and Gross profit
  • Figure 34. Shortcuts Software (United States) Revenue: by Geography 2018
  • Figure 35. Global Employee Scheduling Software: by Type USD Million (2019-2024)
  • Figure 36. Global Employee Scheduling Software: by Organization Size USD Million (2019-2024)
  • Figure 37. South America Employee Scheduling Software Share (%), by Country
  • Figure 38. Asia Pacific Employee Scheduling Software Share (%), by Country
  • Figure 39. Europe Employee Scheduling Software Share (%), by Country
  • Figure 40. MEA Employee Scheduling Software Share (%), by Country
  • Figure 41. North America Employee Scheduling Software Share (%), by Country
Some of the key companies/manufacturers profiled in the report
  • Acuity Scheduling (United States)
  • Simplybook.me (Cyprus)
  • Appointy (United States)
  • SetMore (United States)
  • MyTime (United States)
  • TimeTrade (United States)
  • Pulse 24/7 (United States)
  • Calendly (United States)
  • Bobclass (United Kingdom)
  • Shortcuts Software (United States)
Additional players considered in the study are as follows:
Veribook (Canada) , Cirrus Insight (United States) , CozyCal (Canada) , Square (United States) , MINDBODY (United States)
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