PUBLISHER: Global Industry Analysts, Inc. | PRODUCT CODE: 1774772
PUBLISHER: Global Industry Analysts, Inc. | PRODUCT CODE: 1774772
Global Disaster Recovery Solutions Market to Reach US$70.6 Billion by 2030
The global market for Disaster Recovery Solutions estimated at US$12.7 Billion in the year 2024, is expected to reach US$70.6 Billion by 2030, growing at a CAGR of 33.1% over the analysis period 2024-2030. Backup & Recovery Solution, one of the segments analyzed in the report, is expected to record a 34.4% CAGR and reach US$43.6 Billion by the end of the analysis period. Growth in the Data Security segment is estimated at 30.0% CAGR over the analysis period.
The U.S. Market is Estimated at US$3.5 Billion While China is Forecast to Grow at 43.1% CAGR
The Disaster Recovery Solutions market in the U.S. is estimated at US$3.5 Billion in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$18.3 Billion by the year 2030 trailing a CAGR of 43.1% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 26.7% and 29.9% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 28.1% CAGR.
As cyberattacks, ransomware incidents, and IT infrastructure failures become more frequent, organizations are placing a greater emphasis on disaster recovery solutions. Business continuity depends on the ability to restore critical data and systems after disruptions, making disaster recovery a top priority for enterprises, governments, and cloud service providers. Modern disaster recovery solutions leverage cloud-based backup, AI-driven threat detection, and real-time data replication to ensure seamless recovery after an outage. Cyber resilience strategies are integrating disaster recovery planning with endpoint security, ensuring that businesses can mitigate risks and minimize downtime. However, despite these advancements, challenges such as high implementation costs, compliance complexities, and the evolving nature of cyber threats continue to impact market adoption. Nevertheless, as digital transformation accelerates, disaster recovery solutions are becoming indispensable for securing enterprise operations in an increasingly interconnected world.
The shift toward cloud-based disaster recovery solutions is transforming how businesses manage and recover from disruptions. Traditional on-premise disaster recovery solutions are being replaced by Disaster Recovery as a Service (DRaaS), which offers scalable, cost-effective, and automated recovery options. Cloud-based disaster recovery solutions eliminate the need for physical data centers, reducing infrastructure costs while ensuring real-time data replication and accessibility. Hybrid cloud solutions, which combine on-premise and cloud-based recovery strategies, are gaining traction among enterprises seeking flexibility and enhanced security. However, concerns regarding data sovereignty, network latency, and third-party vendor dependencies remain challenges for businesses adopting cloud-based disaster recovery models. Despite these obstacles, the increasing adoption of hybrid cloud solutions is expected to drive demand for disaster recovery services, enabling organizations to enhance resilience and continuity planning.
Artificial intelligence and automation are revolutionizing disaster recovery by reducing recovery time objectives (RTOs) and minimizing downtime. AI-driven disaster recovery platforms can predict potential IT failures, analyze system vulnerabilities, and automate backup and restoration processes. Machine learning algorithms optimize data replication and recovery workflows, ensuring faster and more efficient disaster response. Robotic process automation (RPA) is being used to streamline disaster recovery testing, reducing manual intervention and improving system resilience. Despite the benefits of AI-driven automation, challenges such as algorithm reliability, integration complexities, and data security concerns persist. However, as AI technology matures, its role in disaster recovery is expected to grow, offering businesses a proactive approach to managing IT disruptions.
The growth in the disaster recovery solutions market is driven by several factors, including the increasing frequency of cyber threats, the rise of cloud computing, and advancements in AI-driven automation. Organizations are prioritizing disaster recovery planning to comply with regulatory requirements and minimize financial losses associated with IT failures. The demand for Disaster Recovery as a Service (DRaaS) is rising as businesses seek cost-effective and scalable recovery options. Additionally, the integration of AI and machine learning into disaster recovery strategies is improving system resilience and reducing downtime. The expansion of 5G networks and edge computing is also influencing the disaster recovery market, as businesses look for faster, more reliable recovery solutions. While challenges such as data security risks and implementation complexities remain, the continuous evolution of disaster recovery technologies is expected to drive sustained market growth, making it a critical component of enterprise risk management strategies.
SCOPE OF STUDY:
The report analyzes the Disaster Recovery Solutions market in terms of units by the following Segments, and Geographic Regions/Countries:
Segments:
Solution (Backup & Recovery Solution, Data Security, Replication Solution); Deployment (Hybrid Cloud Deployment, Public Cloud Deployment, Private Cloud Deployment); Organization Size (Large Enterprises, Small & Medium Enterprise); End-Use (BFSI End-Use, Government & Public Sector End-Use, Healthcare End-Use, IT & Telecommunication End-Use, Manufacturing End-Use, Retail End-Use, Other End-Uses)
Geographic Regions/Countries:
World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; Spain; Russia; and Rest of Europe); Asia-Pacific (Australia; India; South Korea; and Rest of Asia-Pacific); Latin America (Argentina; Brazil; Mexico; and Rest of Latin America); Middle East (Iran; Israel; Saudi Arabia; United Arab Emirates; and Rest of Middle East); and Africa.
Select Competitors (Total 36 Featured) -
AI INTEGRATIONS
We're transforming market and competitive intelligence with validated expert content and AI tools.
Instead of following the general norm of querying LLMs and Industry-specific SLMs, we built repositories of content curated from domain experts worldwide including video transcripts, blogs, search engines research, and massive amounts of enterprise, product/service, and market data.
TARIFF IMPACT FACTOR
Our new release incorporates impact of tariffs on geographical markets as we predict a shift in competitiveness of companies based on HQ country, manufacturing base, exports and imports (finished goods and OEM). This intricate and multifaceted market reality will impact competitors by increasing the Cost of Goods Sold (COGS), reducing profitability, reconfiguring supply chains, amongst other micro and macro market dynamics.