The Disaster Recovery as a Service (DRaaS) market size is projected to grow at a Compound Annual Growth Rate (CAGR) of 41.8% during the forecast period (2017–2022).
Some of the major factors expected to drive growth in the DRaaS market include rising preference for custom tailored services, advancement of cloud computing into specialized clouds, and growing awareness among enterprises about loss due to IT outages. With an increasing adoption rate of cloud-based solutions among Small and Medium-sized Enterprises (SMEs), the Disaster Recovery as a Service (DRaaS) market is expected to grow rapidly.
The DRaaS market has been segmented into real-time replication, backup and recovery, data protection, and professional services. Real-time replication can be defined as the duplication of a database from one computer or server to another, enabling end-users to avoid data ambiguity. Backup and recovery enables enterprises to back up and restore their business-critical data for avoiding data loss in the event of man-made or natural disasters. Data protection safeguards an enterprise’s data, keeping in mind the regulatory compliances needed for specific businesses and verticals. Professional services provide enterprises with the technical expertise required for storing and managing applications and data, overcoming complex problems, and managing operational challenges. Organizations are deploying DR services to overcome the loopholes in traditional DR systems. Moreover, low maintenance requirements and cost-effectiveness of DR services are the other benefits driving the growth of the DRaaS market.
DRaaS delivers quicker automated and more dependable recovery operation than traditional DR approaches, it leverages data replication technologies, as well as automated and orchestrated recovery. DRaaS combines infrastructure, platform and software as a service and hence organizations dont bear additional costs to invest in infrastructure. It also minimizes the administrative burden placed on IT and allows businesses to assign team members to handle more productive tasks.