Global On-Call Scheduling Software Market to Grow at 35.1% During 2022-2027, Fueled by Rising Need for Staffing and On-call Communication Automation

December 01, 2022

IMARC Group’s latest report, titled “On-Call Scheduling Software Market: Global Industry Trends, Share, Size, Growth, Opportunity, and Forecast 2022-2027,” finds that the global on-call scheduling software market is anticipated to exhibit a CAGR of 35.1% during 2022-2027. On-call scheduling software refers to a tool designed for scheduling and managing on-call shifts to support coverage according to business needs. It allows organizations to reach out to their staff more promptly and send real-time updates to an employee to track their availability for covering a shift, thus decreasing the time required to fill scheduling gaps manually. It offers real-time collaboration and on-call analytics capabilities to allow teammates to collaborate in real time across multiple channels. It also lets them track employee shifts and rotating schedules by integrating on-call notifications with real-time shift calendars. As a result, on-call scheduling software is widely used for on-call staffing, crisis management, IT alerting, and disaster recovery across hospitals, law firms, insurance agencies, and property management companies. 

Global On-call Scheduling Software Market Trends:

The rising need for staffing and on-call communication automation represents the primary factor driving the market growth. Moreover, on-call scheduling software helps businesses set quotas for minimum employee staffing requirements based on role, skills, number of employees, and certification in the corporate sector. Since it acts as a tool for connecting people and technology through highly integrated workflows and transparency, the emerging work-from-home (WFH) trend has accelerated product adoption rates. Additionally, there has been widespread product usage in healthcare organizations to resolve critical issues, such as system downtime and patient care, and manage complex clinical work effectively by automating clinical and on-call staff schedules across numerous departments and specialties. In line with this, rapid digitization in business operations due to changing business patterns has fueled market growth. Besides this, the growing need to improve service quality and customer satisfaction has augmented product demand. Furthermore, several key players are offering customized on-call scheduling software to ensure higher operational efficiency and fulfill the unique requirements of businesses. Along with this, the shifting preferences toward cloud-based software as it offers easy integration, multi-location support, space management functionality, and group and automated scheduling have propelled the market growth. Other factors, including the rapid expansion in the healthcare sector, surging need to reduce operational costs, ongoing research and development (R&D) activities, and technological advancements, are creating a favorable market outlook. 

Market Summary:

  • On the basis of the component, the market has been bifurcated into solutions and services. 
  • Based on the deployment mode, the market has been classified as cloud-based and on-premises.
  • The market has been divided based on the application into business, medical, and others. 
  • Region-wise, the market has been segregated into North America (the United States and Canada), Asia-Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others), Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others), Latin America (Brazil, Mexico, and others), and Middle East and Africa. 
  • The competitive landscape of the market has also been examined, with some of the key players being Ambs Call Center, Amtelco, Central Logic Inc., Everbridge Inc., Lightning Bolt Solutions (PerfectServe Inc.), MDsyncNET, QGenda LLC, QliqSOFT Inc., ServiceNow Inc., SimplyCast, and Spok Inc.

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Global On-Call Scheduling Software Market to Grow at 35.1% During 2022-2027, Fueled by Rising Need for Staffing and On-call Communication Automation
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