On-Call Scheduling Software Comprehensive Study by Application (Business, Medical Use), Deployment Mode (Cloud-Based, On-Premise), Subcriptions (Monthly, Quartly, Yearly), Component (Solutions, Services) Players and Region - Global Market Outlook to 2026

On-Call Scheduling Software Market by XX Submarkets | Forecast Years 2022-2027  

  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
What is On-Call Scheduling Software Market?

On-Call Scheduling software is a designed solution for health care, on-call staffing, IT alerting, crisis management, and disaster recovery situations. The use of these software offers associations with a vigorous solution to reach staff quickly using a notification solution and real-time scheduling software. it also offers benefits such as sending alerts to recipients in a specific shift to identify their availability for coverage and reduce the amount of time your staff spends filling shifts manually. Moreover, On-call scheduling solutions help businesses with the help of numerous calendar views. by combining integrated on-call notifications with real-time shift calendars of employees while also keeping track of employee shifts for a day or a rotating schedule The demand for on-call scheduling software is booming in the market owing to help Hospitals and health centers as it requires to manage patient appointments, automate administrative workflows, and allocate medical staff accordingly.

The market study is being classified, by Application (Business and Medical Use) and major geographies with country level break-up.

Ambs Call Center (United States), Service Now(United States), 1Call (United States), Everbridge (United States), Call Scheduler(United States), OpenTempo(United States), QliqSOFT(United States), Lightning Bolt Solutions(United States), PetalMD (Canada) and Kronos (United States) are some of the key players profiled in the study. Additionally, the Players which are also part of the research are SimplyCast (Canada), Spok(United States), PagerDuty (United States) and Shift Admin(United States)).

Research Analyst at AMA predicts that United States Players will contribute to the maximum growth of Global On-Call Scheduling Software market throughout the predicted period.

Segment Analysis
Analyst at AMA have segmented the market study of Global On-Call Scheduling Software market by Type, Application and Region.

On the basis of geography, the market of On-Call 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). Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Market Drivers
  • Increasing adoption of On-Call Scheduling Software Appointment scheduling software for government offices and governmental
  • The demand for increasing customer satisfaction and staff productivity by optimizing scheduling and work.

Market Trend
  • The demand for cloud-based solutions

Restraints
  • Lack Of Data Network Infrastructure Across Organizations

Opportunities
  • The increasing demand for On-Call Scheduling Software from developing countries

Challenges
  • Lack of knowledge about Scheduling Systems





Key Target Audience
New Entrants/Investors, Analysts and Strategic Business Planners, On-Call Scheduling Software Manufacturer, Venture Capitalists and Private Equity Firms, Government Regulatory and Research Organizations and End-Use Industry

Report Objectives / Segmentation Covered

By Application
  • Business
  • Medical Use
By Deployment Mode
  • Cloud-Based
  • On-Premise

By Subcriptions
  • Monthly
  • Quartly
  • Yearly

By Component
  • Solutions
  • Services

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. Increasing adoption of On-Call Scheduling Software Appointment scheduling software for government offices and governmental
      • 3.2.2. The demand for increasing customer satisfaction and staff productivity by optimizing scheduling and work.
    • 3.3. Market Challenges
      • 3.3.1. Lack of knowledge about Scheduling Systems
    • 3.4. Market Trends
      • 3.4.1. The demand for cloud-based solutions
  • 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 On-Call Scheduling Software, by Application, Deployment Mode, Subcriptions, Component and Region (value) (2015-2020)
    • 5.1. Introduction
    • 5.2. Global On-Call Scheduling Software (Value)
      • 5.2.1. Global On-Call Scheduling Software by: Application (Value)
        • 5.2.1.1. Business
        • 5.2.1.2. Medical Use
      • 5.2.2. Global On-Call Scheduling Software by: Deployment Mode (Value)
        • 5.2.2.1. Cloud-Based
        • 5.2.2.2. On-Premise
      • 5.2.3. Global On-Call Scheduling Software by: Subcriptions (Value)
        • 5.2.3.1. Monthly
        • 5.2.3.2. Quartly
        • 5.2.3.3. Yearly
      • 5.2.4. Global On-Call Scheduling Software by: Component (Value)
        • 5.2.4.1. Solutions
        • 5.2.4.2. Services
      • 5.2.5. Global On-Call Scheduling Software Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Taiwan
          • 5.2.5.2.6. Australia
          • 5.2.5.2.7. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
  • 6. On-Call 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 (2020)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Ambs Call Center (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. Service Now(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. 1Call (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. Everbridge (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. Call Scheduler(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. OpenTempo(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. QliqSOFT(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. Lightning Bolt Solutions(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. PetalMD (Canada)
        • 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. Kronos (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 On-Call Scheduling Software Sale, by Application, Deployment Mode, Subcriptions, Component and Region (value) (2021-2026)
    • 7.1. Introduction
    • 7.2. Global On-Call Scheduling Software (Value)
      • 7.2.1. Global On-Call Scheduling Software by: Application (Value)
        • 7.2.1.1. Business
        • 7.2.1.2. Medical Use
      • 7.2.2. Global On-Call Scheduling Software by: Deployment Mode (Value)
        • 7.2.2.1. Cloud-Based
        • 7.2.2.2. On-Premise
      • 7.2.3. Global On-Call Scheduling Software by: Subcriptions (Value)
        • 7.2.3.1. Monthly
        • 7.2.3.2. Quartly
        • 7.2.3.3. Yearly
      • 7.2.4. Global On-Call Scheduling Software by: Component (Value)
        • 7.2.4.1. Solutions
        • 7.2.4.2. Services
      • 7.2.5. Global On-Call Scheduling Software Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Taiwan
          • 7.2.5.2.6. Australia
          • 7.2.5.2.7. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. 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. On-Call Scheduling Software: by Application(USD Million)
  • Table 2. On-Call Scheduling Software Business , by Region USD Million (2015-2020)
  • Table 3. On-Call Scheduling Software Medical Use , by Region USD Million (2015-2020)
  • Table 4. On-Call Scheduling Software: by Deployment Mode(USD Million)
  • Table 5. On-Call Scheduling Software Cloud-Based , by Region USD Million (2015-2020)
  • Table 6. On-Call Scheduling Software On-Premise , by Region USD Million (2015-2020)
  • Table 7. On-Call Scheduling Software: by Subcriptions(USD Million)
  • Table 8. On-Call Scheduling Software Monthly , by Region USD Million (2015-2020)
  • Table 9. On-Call Scheduling Software Quartly , by Region USD Million (2015-2020)
  • Table 10. On-Call Scheduling Software Yearly , by Region USD Million (2015-2020)
  • Table 11. On-Call Scheduling Software: by Component(USD Million)
  • Table 12. On-Call Scheduling Software Solutions , by Region USD Million (2015-2020)
  • Table 13. On-Call Scheduling Software Services , by Region USD Million (2015-2020)
  • Table 14. South America On-Call Scheduling Software, by Country USD Million (2015-2020)
  • Table 15. South America On-Call Scheduling Software, by Application USD Million (2015-2020)
  • Table 16. South America On-Call Scheduling Software, by Deployment Mode USD Million (2015-2020)
  • Table 17. South America On-Call Scheduling Software, by Subcriptions USD Million (2015-2020)
  • Table 18. South America On-Call Scheduling Software, by Component USD Million (2015-2020)
  • Table 19. Brazil On-Call Scheduling Software, by Application USD Million (2015-2020)
  • Table 20. Brazil On-Call Scheduling Software, by Deployment Mode USD Million (2015-2020)
  • Table 21. Brazil On-Call Scheduling Software, by Subcriptions USD Million (2015-2020)
  • Table 22. Brazil On-Call Scheduling Software, by Component USD Million (2015-2020)
  • Table 23. Argentina On-Call Scheduling Software, by Application USD Million (2015-2020)
  • Table 24. Argentina On-Call Scheduling Software, by Deployment Mode USD Million (2015-2020)
  • Table 25. Argentina On-Call Scheduling Software, by Subcriptions USD Million (2015-2020)
  • Table 26. Argentina On-Call Scheduling Software, by Component USD Million (2015-2020)
  • Table 27. Rest of South America On-Call Scheduling Software, by Application USD Million (2015-2020)
  • Table 28. Rest of South America On-Call Scheduling Software, by Deployment Mode USD Million (2015-2020)
  • Table 29. Rest of South America On-Call Scheduling Software, by Subcriptions USD Million (2015-2020)
  • Table 30. Rest of South America On-Call Scheduling Software, by Component USD Million (2015-2020)
  • Table 31. Asia Pacific On-Call Scheduling Software, by Country USD Million (2015-2020)
  • Table 32. Asia Pacific On-Call Scheduling Software, by Application USD Million (2015-2020)
  • Table 33. Asia Pacific On-Call Scheduling Software, by Deployment Mode USD Million (2015-2020)
  • Table 34. Asia Pacific On-Call Scheduling Software, by Subcriptions USD Million (2015-2020)
  • Table 35. Asia Pacific On-Call Scheduling Software, by Component USD Million (2015-2020)
  • Table 36. China On-Call Scheduling Software, by Application USD Million (2015-2020)
  • Table 37. China On-Call Scheduling Software, by Deployment Mode USD Million (2015-2020)
  • Table 38. China On-Call Scheduling Software, by Subcriptions USD Million (2015-2020)
  • Table 39. China On-Call Scheduling Software, by Component USD Million (2015-2020)
  • Table 40. Japan On-Call Scheduling Software, by Application USD Million (2015-2020)
  • Table 41. Japan On-Call Scheduling Software, by Deployment Mode USD Million (2015-2020)
  • Table 42. Japan On-Call Scheduling Software, by Subcriptions USD Million (2015-2020)
  • Table 43. Japan On-Call Scheduling Software, by Component USD Million (2015-2020)
  • Table 44. India On-Call Scheduling Software, by Application USD Million (2015-2020)
  • Table 45. India On-Call Scheduling Software, by Deployment Mode USD Million (2015-2020)
  • Table 46. India On-Call Scheduling Software, by Subcriptions USD Million (2015-2020)
  • Table 47. India On-Call Scheduling Software, by Component USD Million (2015-2020)
  • Table 48. South Korea On-Call Scheduling Software, by Application USD Million (2015-2020)
  • Table 49. South Korea On-Call Scheduling Software, by Deployment Mode USD Million (2015-2020)
  • Table 50. South Korea On-Call Scheduling Software, by Subcriptions USD Million (2015-2020)
  • Table 51. South Korea On-Call Scheduling Software, by Component USD Million (2015-2020)
  • Table 52. Taiwan On-Call Scheduling Software, by Application USD Million (2015-2020)
  • Table 53. Taiwan On-Call Scheduling Software, by Deployment Mode USD Million (2015-2020)
  • Table 54. Taiwan On-Call Scheduling Software, by Subcriptions USD Million (2015-2020)
  • Table 55. Taiwan On-Call Scheduling Software, by Component USD Million (2015-2020)
  • Table 56. Australia On-Call Scheduling Software, by Application USD Million (2015-2020)
  • Table 57. Australia On-Call Scheduling Software, by Deployment Mode USD Million (2015-2020)
  • Table 58. Australia On-Call Scheduling Software, by Subcriptions USD Million (2015-2020)
  • Table 59. Australia On-Call Scheduling Software, by Component USD Million (2015-2020)
  • Table 60. Rest of Asia-Pacific On-Call Scheduling Software, by Application USD Million (2015-2020)
  • Table 61. Rest of Asia-Pacific On-Call Scheduling Software, by Deployment Mode USD Million (2015-2020)
  • Table 62. Rest of Asia-Pacific On-Call Scheduling Software, by Subcriptions USD Million (2015-2020)
  • Table 63. Rest of Asia-Pacific On-Call Scheduling Software, by Component USD Million (2015-2020)
  • Table 64. Europe On-Call Scheduling Software, by Country USD Million (2015-2020)
  • Table 65. Europe On-Call Scheduling Software, by Application USD Million (2015-2020)
  • Table 66. Europe On-Call Scheduling Software, by Deployment Mode USD Million (2015-2020)
  • Table 67. Europe On-Call Scheduling Software, by Subcriptions USD Million (2015-2020)
  • Table 68. Europe On-Call Scheduling Software, by Component USD Million (2015-2020)
  • Table 69. Germany On-Call Scheduling Software, by Application USD Million (2015-2020)
  • Table 70. Germany On-Call Scheduling Software, by Deployment Mode USD Million (2015-2020)
  • Table 71. Germany On-Call Scheduling Software, by Subcriptions USD Million (2015-2020)
  • Table 72. Germany On-Call Scheduling Software, by Component USD Million (2015-2020)
  • Table 73. France On-Call Scheduling Software, by Application USD Million (2015-2020)
  • Table 74. France On-Call Scheduling Software, by Deployment Mode USD Million (2015-2020)
  • Table 75. France On-Call Scheduling Software, by Subcriptions USD Million (2015-2020)
  • Table 76. France On-Call Scheduling Software, by Component USD Million (2015-2020)
  • Table 77. Italy On-Call Scheduling Software, by Application USD Million (2015-2020)
  • Table 78. Italy On-Call Scheduling Software, by Deployment Mode USD Million (2015-2020)
  • Table 79. Italy On-Call Scheduling Software, by Subcriptions USD Million (2015-2020)
  • Table 80. Italy On-Call Scheduling Software, by Component USD Million (2015-2020)
  • Table 81. United Kingdom On-Call Scheduling Software, by Application USD Million (2015-2020)
  • Table 82. United Kingdom On-Call Scheduling Software, by Deployment Mode USD Million (2015-2020)
  • Table 83. United Kingdom On-Call Scheduling Software, by Subcriptions USD Million (2015-2020)
  • Table 84. United Kingdom On-Call Scheduling Software, by Component USD Million (2015-2020)
  • Table 85. Netherlands On-Call Scheduling Software, by Application USD Million (2015-2020)
  • Table 86. Netherlands On-Call Scheduling Software, by Deployment Mode USD Million (2015-2020)
  • Table 87. Netherlands On-Call Scheduling Software, by Subcriptions USD Million (2015-2020)
  • Table 88. Netherlands On-Call Scheduling Software, by Component USD Million (2015-2020)
  • Table 89. Rest of Europe On-Call Scheduling Software, by Application USD Million (2015-2020)
  • Table 90. Rest of Europe On-Call Scheduling Software, by Deployment Mode USD Million (2015-2020)
  • Table 91. Rest of Europe On-Call Scheduling Software, by Subcriptions USD Million (2015-2020)
  • Table 92. Rest of Europe On-Call Scheduling Software, by Component USD Million (2015-2020)
  • Table 93. MEA On-Call Scheduling Software, by Country USD Million (2015-2020)
  • Table 94. MEA On-Call Scheduling Software, by Application USD Million (2015-2020)
  • Table 95. MEA On-Call Scheduling Software, by Deployment Mode USD Million (2015-2020)
  • Table 96. MEA On-Call Scheduling Software, by Subcriptions USD Million (2015-2020)
  • Table 97. MEA On-Call Scheduling Software, by Component USD Million (2015-2020)
  • Table 98. Middle East On-Call Scheduling Software, by Application USD Million (2015-2020)
  • Table 99. Middle East On-Call Scheduling Software, by Deployment Mode USD Million (2015-2020)
  • Table 100. Middle East On-Call Scheduling Software, by Subcriptions USD Million (2015-2020)
  • Table 101. Middle East On-Call Scheduling Software, by Component USD Million (2015-2020)
  • Table 102. Africa On-Call Scheduling Software, by Application USD Million (2015-2020)
  • Table 103. Africa On-Call Scheduling Software, by Deployment Mode USD Million (2015-2020)
  • Table 104. Africa On-Call Scheduling Software, by Subcriptions USD Million (2015-2020)
  • Table 105. Africa On-Call Scheduling Software, by Component USD Million (2015-2020)
  • Table 106. North America On-Call Scheduling Software, by Country USD Million (2015-2020)
  • Table 107. North America On-Call Scheduling Software, by Application USD Million (2015-2020)
  • Table 108. North America On-Call Scheduling Software, by Deployment Mode USD Million (2015-2020)
  • Table 109. North America On-Call Scheduling Software, by Subcriptions USD Million (2015-2020)
  • Table 110. North America On-Call Scheduling Software, by Component USD Million (2015-2020)
  • Table 111. United States On-Call Scheduling Software, by Application USD Million (2015-2020)
  • Table 112. United States On-Call Scheduling Software, by Deployment Mode USD Million (2015-2020)
  • Table 113. United States On-Call Scheduling Software, by Subcriptions USD Million (2015-2020)
  • Table 114. United States On-Call Scheduling Software, by Component USD Million (2015-2020)
  • Table 115. Canada On-Call Scheduling Software, by Application USD Million (2015-2020)
  • Table 116. Canada On-Call Scheduling Software, by Deployment Mode USD Million (2015-2020)
  • Table 117. Canada On-Call Scheduling Software, by Subcriptions USD Million (2015-2020)
  • Table 118. Canada On-Call Scheduling Software, by Component USD Million (2015-2020)
  • Table 119. Mexico On-Call Scheduling Software, by Application USD Million (2015-2020)
  • Table 120. Mexico On-Call Scheduling Software, by Deployment Mode USD Million (2015-2020)
  • Table 121. Mexico On-Call Scheduling Software, by Subcriptions USD Million (2015-2020)
  • Table 122. Mexico On-Call Scheduling Software, by Component USD Million (2015-2020)
  • Table 123. Company Basic Information, Sales Area and Its Competitors
  • Table 124. Company Basic Information, Sales Area and Its Competitors
  • Table 125. Company Basic Information, Sales Area and Its Competitors
  • Table 126. Company Basic Information, Sales Area and Its Competitors
  • Table 127. Company Basic Information, Sales Area and Its Competitors
  • Table 128. Company Basic Information, Sales Area and Its Competitors
  • Table 129. Company Basic Information, Sales Area and Its Competitors
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. On-Call Scheduling Software: by Application(USD Million)
  • Table 134. On-Call Scheduling Software Business , by Region USD Million (2021-2026)
  • Table 135. On-Call Scheduling Software Medical Use , by Region USD Million (2021-2026)
  • Table 136. On-Call Scheduling Software: by Deployment Mode(USD Million)
  • Table 137. On-Call Scheduling Software Cloud-Based , by Region USD Million (2021-2026)
  • Table 138. On-Call Scheduling Software On-Premise , by Region USD Million (2021-2026)
  • Table 139. On-Call Scheduling Software: by Subcriptions(USD Million)
  • Table 140. On-Call Scheduling Software Monthly , by Region USD Million (2021-2026)
  • Table 141. On-Call Scheduling Software Quartly , by Region USD Million (2021-2026)
  • Table 142. On-Call Scheduling Software Yearly , by Region USD Million (2021-2026)
  • Table 143. On-Call Scheduling Software: by Component(USD Million)
  • Table 144. On-Call Scheduling Software Solutions , by Region USD Million (2021-2026)
  • Table 145. On-Call Scheduling Software Services , by Region USD Million (2021-2026)
  • Table 146. South America On-Call Scheduling Software, by Country USD Million (2021-2026)
  • Table 147. South America On-Call Scheduling Software, by Application USD Million (2021-2026)
  • Table 148. South America On-Call Scheduling Software, by Deployment Mode USD Million (2021-2026)
  • Table 149. South America On-Call Scheduling Software, by Subcriptions USD Million (2021-2026)
  • Table 150. South America On-Call Scheduling Software, by Component USD Million (2021-2026)
  • Table 151. Brazil On-Call Scheduling Software, by Application USD Million (2021-2026)
  • Table 152. Brazil On-Call Scheduling Software, by Deployment Mode USD Million (2021-2026)
  • Table 153. Brazil On-Call Scheduling Software, by Subcriptions USD Million (2021-2026)
  • Table 154. Brazil On-Call Scheduling Software, by Component USD Million (2021-2026)
  • Table 155. Argentina On-Call Scheduling Software, by Application USD Million (2021-2026)
  • Table 156. Argentina On-Call Scheduling Software, by Deployment Mode USD Million (2021-2026)
  • Table 157. Argentina On-Call Scheduling Software, by Subcriptions USD Million (2021-2026)
  • Table 158. Argentina On-Call Scheduling Software, by Component USD Million (2021-2026)
  • Table 159. Rest of South America On-Call Scheduling Software, by Application USD Million (2021-2026)
  • Table 160. Rest of South America On-Call Scheduling Software, by Deployment Mode USD Million (2021-2026)
  • Table 161. Rest of South America On-Call Scheduling Software, by Subcriptions USD Million (2021-2026)
  • Table 162. Rest of South America On-Call Scheduling Software, by Component USD Million (2021-2026)
  • Table 163. Asia Pacific On-Call Scheduling Software, by Country USD Million (2021-2026)
  • Table 164. Asia Pacific On-Call Scheduling Software, by Application USD Million (2021-2026)
  • Table 165. Asia Pacific On-Call Scheduling Software, by Deployment Mode USD Million (2021-2026)
  • Table 166. Asia Pacific On-Call Scheduling Software, by Subcriptions USD Million (2021-2026)
  • Table 167. Asia Pacific On-Call Scheduling Software, by Component USD Million (2021-2026)
  • Table 168. China On-Call Scheduling Software, by Application USD Million (2021-2026)
  • Table 169. China On-Call Scheduling Software, by Deployment Mode USD Million (2021-2026)
  • Table 170. China On-Call Scheduling Software, by Subcriptions USD Million (2021-2026)
  • Table 171. China On-Call Scheduling Software, by Component USD Million (2021-2026)
  • Table 172. Japan On-Call Scheduling Software, by Application USD Million (2021-2026)
  • Table 173. Japan On-Call Scheduling Software, by Deployment Mode USD Million (2021-2026)
  • Table 174. Japan On-Call Scheduling Software, by Subcriptions USD Million (2021-2026)
  • Table 175. Japan On-Call Scheduling Software, by Component USD Million (2021-2026)
  • Table 176. India On-Call Scheduling Software, by Application USD Million (2021-2026)
  • Table 177. India On-Call Scheduling Software, by Deployment Mode USD Million (2021-2026)
  • Table 178. India On-Call Scheduling Software, by Subcriptions USD Million (2021-2026)
  • Table 179. India On-Call Scheduling Software, by Component USD Million (2021-2026)
  • Table 180. South Korea On-Call Scheduling Software, by Application USD Million (2021-2026)
  • Table 181. South Korea On-Call Scheduling Software, by Deployment Mode USD Million (2021-2026)
  • Table 182. South Korea On-Call Scheduling Software, by Subcriptions USD Million (2021-2026)
  • Table 183. South Korea On-Call Scheduling Software, by Component USD Million (2021-2026)
  • Table 184. Taiwan On-Call Scheduling Software, by Application USD Million (2021-2026)
  • Table 185. Taiwan On-Call Scheduling Software, by Deployment Mode USD Million (2021-2026)
  • Table 186. Taiwan On-Call Scheduling Software, by Subcriptions USD Million (2021-2026)
  • Table 187. Taiwan On-Call Scheduling Software, by Component USD Million (2021-2026)
  • Table 188. Australia On-Call Scheduling Software, by Application USD Million (2021-2026)
  • Table 189. Australia On-Call Scheduling Software, by Deployment Mode USD Million (2021-2026)
  • Table 190. Australia On-Call Scheduling Software, by Subcriptions USD Million (2021-2026)
  • Table 191. Australia On-Call Scheduling Software, by Component USD Million (2021-2026)
  • Table 192. Rest of Asia-Pacific On-Call Scheduling Software, by Application USD Million (2021-2026)
  • Table 193. Rest of Asia-Pacific On-Call Scheduling Software, by Deployment Mode USD Million (2021-2026)
  • Table 194. Rest of Asia-Pacific On-Call Scheduling Software, by Subcriptions USD Million (2021-2026)
  • Table 195. Rest of Asia-Pacific On-Call Scheduling Software, by Component USD Million (2021-2026)
  • Table 196. Europe On-Call Scheduling Software, by Country USD Million (2021-2026)
  • Table 197. Europe On-Call Scheduling Software, by Application USD Million (2021-2026)
  • Table 198. Europe On-Call Scheduling Software, by Deployment Mode USD Million (2021-2026)
  • Table 199. Europe On-Call Scheduling Software, by Subcriptions USD Million (2021-2026)
  • Table 200. Europe On-Call Scheduling Software, by Component USD Million (2021-2026)
  • Table 201. Germany On-Call Scheduling Software, by Application USD Million (2021-2026)
  • Table 202. Germany On-Call Scheduling Software, by Deployment Mode USD Million (2021-2026)
  • Table 203. Germany On-Call Scheduling Software, by Subcriptions USD Million (2021-2026)
  • Table 204. Germany On-Call Scheduling Software, by Component USD Million (2021-2026)
  • Table 205. France On-Call Scheduling Software, by Application USD Million (2021-2026)
  • Table 206. France On-Call Scheduling Software, by Deployment Mode USD Million (2021-2026)
  • Table 207. France On-Call Scheduling Software, by Subcriptions USD Million (2021-2026)
  • Table 208. France On-Call Scheduling Software, by Component USD Million (2021-2026)
  • Table 209. Italy On-Call Scheduling Software, by Application USD Million (2021-2026)
  • Table 210. Italy On-Call Scheduling Software, by Deployment Mode USD Million (2021-2026)
  • Table 211. Italy On-Call Scheduling Software, by Subcriptions USD Million (2021-2026)
  • Table 212. Italy On-Call Scheduling Software, by Component USD Million (2021-2026)
  • Table 213. United Kingdom On-Call Scheduling Software, by Application USD Million (2021-2026)
  • Table 214. United Kingdom On-Call Scheduling Software, by Deployment Mode USD Million (2021-2026)
  • Table 215. United Kingdom On-Call Scheduling Software, by Subcriptions USD Million (2021-2026)
  • Table 216. United Kingdom On-Call Scheduling Software, by Component USD Million (2021-2026)
  • Table 217. Netherlands On-Call Scheduling Software, by Application USD Million (2021-2026)
  • Table 218. Netherlands On-Call Scheduling Software, by Deployment Mode USD Million (2021-2026)
  • Table 219. Netherlands On-Call Scheduling Software, by Subcriptions USD Million (2021-2026)
  • Table 220. Netherlands On-Call Scheduling Software, by Component USD Million (2021-2026)
  • Table 221. Rest of Europe On-Call Scheduling Software, by Application USD Million (2021-2026)
  • Table 222. Rest of Europe On-Call Scheduling Software, by Deployment Mode USD Million (2021-2026)
  • Table 223. Rest of Europe On-Call Scheduling Software, by Subcriptions USD Million (2021-2026)
  • Table 224. Rest of Europe On-Call Scheduling Software, by Component USD Million (2021-2026)
  • Table 225. MEA On-Call Scheduling Software, by Country USD Million (2021-2026)
  • Table 226. MEA On-Call Scheduling Software, by Application USD Million (2021-2026)
  • Table 227. MEA On-Call Scheduling Software, by Deployment Mode USD Million (2021-2026)
  • Table 228. MEA On-Call Scheduling Software, by Subcriptions USD Million (2021-2026)
  • Table 229. MEA On-Call Scheduling Software, by Component USD Million (2021-2026)
  • Table 230. Middle East On-Call Scheduling Software, by Application USD Million (2021-2026)
  • Table 231. Middle East On-Call Scheduling Software, by Deployment Mode USD Million (2021-2026)
  • Table 232. Middle East On-Call Scheduling Software, by Subcriptions USD Million (2021-2026)
  • Table 233. Middle East On-Call Scheduling Software, by Component USD Million (2021-2026)
  • Table 234. Africa On-Call Scheduling Software, by Application USD Million (2021-2026)
  • Table 235. Africa On-Call Scheduling Software, by Deployment Mode USD Million (2021-2026)
  • Table 236. Africa On-Call Scheduling Software, by Subcriptions USD Million (2021-2026)
  • Table 237. Africa On-Call Scheduling Software, by Component USD Million (2021-2026)
  • Table 238. North America On-Call Scheduling Software, by Country USD Million (2021-2026)
  • Table 239. North America On-Call Scheduling Software, by Application USD Million (2021-2026)
  • Table 240. North America On-Call Scheduling Software, by Deployment Mode USD Million (2021-2026)
  • Table 241. North America On-Call Scheduling Software, by Subcriptions USD Million (2021-2026)
  • Table 242. North America On-Call Scheduling Software, by Component USD Million (2021-2026)
  • Table 243. United States On-Call Scheduling Software, by Application USD Million (2021-2026)
  • Table 244. United States On-Call Scheduling Software, by Deployment Mode USD Million (2021-2026)
  • Table 245. United States On-Call Scheduling Software, by Subcriptions USD Million (2021-2026)
  • Table 246. United States On-Call Scheduling Software, by Component USD Million (2021-2026)
  • Table 247. Canada On-Call Scheduling Software, by Application USD Million (2021-2026)
  • Table 248. Canada On-Call Scheduling Software, by Deployment Mode USD Million (2021-2026)
  • Table 249. Canada On-Call Scheduling Software, by Subcriptions USD Million (2021-2026)
  • Table 250. Canada On-Call Scheduling Software, by Component USD Million (2021-2026)
  • Table 251. Mexico On-Call Scheduling Software, by Application USD Million (2021-2026)
  • Table 252. Mexico On-Call Scheduling Software, by Deployment Mode USD Million (2021-2026)
  • Table 253. Mexico On-Call Scheduling Software, by Subcriptions USD Million (2021-2026)
  • Table 254. Mexico On-Call Scheduling Software, by Component USD Million (2021-2026)
  • Table 255. Research Programs/Design for This Report
  • Table 256. Key Data Information from Secondary Sources
  • Table 257. 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 On-Call Scheduling Software: by Application USD Million (2015-2020)
  • Figure 5. Global On-Call Scheduling Software: by Deployment Mode USD Million (2015-2020)
  • Figure 6. Global On-Call Scheduling Software: by Subcriptions USD Million (2015-2020)
  • Figure 7. Global On-Call Scheduling Software: by Component USD Million (2015-2020)
  • Figure 8. South America On-Call Scheduling Software Share (%), by Country
  • Figure 9. Asia Pacific On-Call Scheduling Software Share (%), by Country
  • Figure 10. Europe On-Call Scheduling Software Share (%), by Country
  • Figure 11. MEA On-Call Scheduling Software Share (%), by Country
  • Figure 12. North America On-Call Scheduling Software Share (%), by Country
  • Figure 13. Global On-Call Scheduling Software share by Players 2020 (%)
  • Figure 14. Global On-Call Scheduling Software share by Players (Top 3) 2020(%)
  • Figure 15. Global On-Call Scheduling Software share by Players (Top 5) 2020(%)
  • Figure 16. BCG Matrix for key Companies
  • Figure 17. Ambs Call Center (United States) Revenue, Net Income and Gross profit
  • Figure 18. Ambs Call Center (United States) Revenue: by Geography 2020
  • Figure 19. Service Now(United States) Revenue, Net Income and Gross profit
  • Figure 20. Service Now(United States) Revenue: by Geography 2020
  • Figure 21. 1Call (United States) Revenue, Net Income and Gross profit
  • Figure 22. 1Call (United States) Revenue: by Geography 2020
  • Figure 23. Everbridge (United States) Revenue, Net Income and Gross profit
  • Figure 24. Everbridge (United States) Revenue: by Geography 2020
  • Figure 25. Call Scheduler(United States) Revenue, Net Income and Gross profit
  • Figure 26. Call Scheduler(United States) Revenue: by Geography 2020
  • Figure 27. OpenTempo(United States) Revenue, Net Income and Gross profit
  • Figure 28. OpenTempo(United States) Revenue: by Geography 2020
  • Figure 29. QliqSOFT(United States) Revenue, Net Income and Gross profit
  • Figure 30. QliqSOFT(United States) Revenue: by Geography 2020
  • Figure 31. Lightning Bolt Solutions(United States) Revenue, Net Income and Gross profit
  • Figure 32. Lightning Bolt Solutions(United States) Revenue: by Geography 2020
  • Figure 33. PetalMD (Canada) Revenue, Net Income and Gross profit
  • Figure 34. PetalMD (Canada) Revenue: by Geography 2020
  • Figure 35. Kronos (United States) Revenue, Net Income and Gross profit
  • Figure 36. Kronos (United States) Revenue: by Geography 2020
  • Figure 37. Global On-Call Scheduling Software: by Application USD Million (2021-2026)
  • Figure 38. Global On-Call Scheduling Software: by Deployment Mode USD Million (2021-2026)
  • Figure 39. Global On-Call Scheduling Software: by Subcriptions USD Million (2021-2026)
  • Figure 40. Global On-Call Scheduling Software: by Component USD Million (2021-2026)
  • Figure 41. South America On-Call Scheduling Software Share (%), by Country
  • Figure 42. Asia Pacific On-Call Scheduling Software Share (%), by Country
  • Figure 43. Europe On-Call Scheduling Software Share (%), by Country
  • Figure 44. MEA On-Call Scheduling Software Share (%), by Country
  • Figure 45. North America On-Call Scheduling Software Share (%), by Country
List of companies from research coverage that are profiled in the study
  • Ambs Call Center (United States)
  • Service Now(United States)
  • 1Call (United States)
  • Everbridge (United States)
  • Call Scheduler(United States)
  • OpenTempo(United States)
  • QliqSOFT(United States)
  • Lightning Bolt Solutions(United States)
  • PetalMD (Canada)
  • Kronos (United States)
Additional players considered in the study are as follows:
SimplyCast (Canada) , Spok(United States) , PagerDuty (United States) , Shift Admin(United States))
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Key Highlights of Report


Sep 2021 244 Pages 78 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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"Increasing adoption of On-Call Scheduling Software Appointment scheduling software for government offices and governmental " is seen as one of major growth factors of On-Call Scheduling Software Market in years to come.
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United States will lead On-Call Scheduling Software Market in coming years.

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