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2023

Disaster Recovery In Banking Market

Disaster Recovery in Banking Market

by Component (Solution, Services), by Deployment Model (Private Cloud, Public Cloud, Hybrid Cloud) and by Enterprise Size (Large Enterprise, Small Medium Enterprises): Global Opportunity Analysis and Industry Forecast, 2023-2032

BI : IT in BFSI	Report Code: A11628	Nov 2023 \| Pages: NA
Tables: NA	Charts: NA	Formats*: Single User License, Five User License & Enterprise User License Data Pack Excel License It comes with the additional cost of $2500.00 contact sales.

COVID-19

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Disaster recovery in banking refers to usage of different set of tools, policies, and procedures to enable the recovery of data or the continuation of essential technology infrastructure and systems, especially during the times of natural or man-made emergencies, when the data is either lost or is unsaved. Disaster recovery plays a significant role in the banking sector as it focuses mainly on the technology that supports the bank's operations as well as the steps that are required to restore the technology to normal operations. Furthermore, disaster recovery in banking provides complete network support and control during network failures, and ensures business continuity by minimizing downtime and disruptions, thereby enhancing the growth of the market. In addition, surge in adoption for disaster recovery planning in the banking sector is expected to boost the disaster recovery in banking market growth in the near future as it is important for banks to make sure their customers data is secured and ensure that there is no data loss.

The disaster recovery in banking market share is segmented into component, deployment model, enterprise size, and region. Based on component, the market is classified into solution and services. Based on deployment model, it is bifurcated into on-premise and cloud. Based on enterprise size, the market is classified into large enterprise and small & medium enterprises. Based on region, it is analyzed across North America (U.S., Canada, and Mexico), Europe (Germany, UK, France, and Rest of Europe), Asia-Pacific (China, Japan, India, and Rest of Asia-Pacific), and LAMEA (Latin America, Middle East, and Africa).

Key players operating in the disaster recovery in banking industry are Microsoft Corporation, International Business Machines (IBM) Corporation, VMware Inc., Recovery Point, Sungard Availability Services, InterVision Systems, Amazon Web Services (AWS), TierPoint, Infrascale. These players adopt collaboration, partnership, and agreement as their key developmental strategies to increase revenue of the disaster recovery in banking market and develop new products for enhancing their product portfolio.

Top Impacting Factors: Market Scenario Analysis, Trends, Drivers, and Impact Analysis

Rise in need for greater customer retention and surge in mitigating risks & financial exposure are the major factors driving the growth of the market. However, reluctance of enterprises toward the adoption of cloud-based disaster recover planning over traditional methods is expected to limit the growth of the market. Contrarily, emergence of artificial intelligence (AI) and machine learning (ML) in disaster recovery planning solution provides lucrative opportunity for the market.

The disaster recovery in banking market trends are as follows:

Rise in need for greater customer retention

Clients nowadays demand nothing less than perfection and dependability. When it comes to failures or downtime, they are unforgiving, owing to which many banks and fintech institutes are adopting this software to recover data from various disasters, thereby driving the growth of the market. In addition, businesses can maintain high level of service quality regardless of the circumstances due to disaster recovery planning, which also enhances the growth of the disaster recovery in banking market share. In the aftermath of an IT disaster, regaining an old customer can be nearly impossible – a disastrous effect that many businesses have witnessed firsthand. Therefore, financial institutions make sure that previous mistakes are not repeated by adopting disaster recovery planning to sustain their customer retention.

Geographic separation of financial institutions

Majority of financial institutions, particularly community banks and credit unions, have branches within a specific geographical location. If any disaster, such as cyclone, tornado, and ice storm, occurs, there is a good chance that they will lose data from multiple branches at the same time. As a result, any on-premise servers will almost certainly be destroyed in this disaster. In situations like these, cloud recovery solutions, which include disaster recovery planning play a major role, thereby enhancing the growth of the market.

COVID-19 Impact Analysis

In the wake of COVID-19 pandemic, the demand for disaster recovery in banking sectors has exponentially grown due to the need among banks to regularly cross-check and update their list of feasible and credible recovery options that are in their recovery plans, especially by taking into account the current COVID-19 system-wide stress.
Many of the enterprises across the banking sector have adopted the work from home model to safeguard employee well-being and maintain operational efficiency by increasing the demand for cloud-based solutions, which has reflected a surge in demand for disaster recovery planning in banking.

Key Benefits of the Report

This study presents analytical depiction of the disaster recovery in banking market along with the current trends and future estimations to determine the imminent investment pockets.
The report presents information related to key drivers, restraints, and opportunities along with detailed analysis of the market share.
The current market is quantitatively analyzed to highlight the disaster recovery in banking market growth scenario.
Porter’s five forces analysis illustrates the potency of buyers & suppliers in the disaster recovery in banking market.
The report provides a detailed market analysis on the basis of present and future competitive intensity of the market.

Questions Answered in the Banking Enterprise Mobility Market Report

Which are the leading market players active in the disaster recovery in banking market?
What would be the detailed impact of COVID-19 on the disaster recovery in banking market?
What are the current trends that will influence the market in the next few years?
What are the driving factors, restraints, and opportunities in the disaster recovery in banking market?
What future projections would help in taking further strategic steps?

Disaster Recovery in Banking Market Report Highlights

Aspects	Details
By Component	Solution Device Management Access Management Application Management Others Services Real-time Replication Backup and Restore Data Protection
By Deployment Model	Private Cloud Public Cloud Hybrid Cloud
By Enterprise Size	Large Enterprise Small & Medium Enterprises
By Region	North America (U.S., Canada, Mexico) Europe (UK, Germany, France, Spain, Italy, Rest of Europe) Asia-Pacific (China, Japan, India, Australia, South Korea, Rest of Asia-Pacific) LAMEA (Latin America, Middle East, Africa)
Key Market Players	Recovery Point, Sungard Availability Services, TierPoint, VMware Inc., Amazon Web Services (AWS), Company10, InterVision Systems, Infrascale, International Business Machines (IBM) Corporation, Microsoft Corporation

CHAPTER 1: INTRODUCTION
- 1.1. Report Description
- 1.2. Key Market Segments
- 1.3. Key Benefits
- 1.4. Research Methodology
  - 1.4.1. Primary Research
  - 1.4.2. Secondary Research
  - 1.4.3. Analyst Tools and Models
CHAPTER 2: EXECUTIVE SUMMARY
- 2.1. CXO Perspective
CHAPTER 3: MARKET LANDSCAPE
- 3.1. Market Definition and Scope
- 3.2. Key Findings
  - 3.2.1. Top Investment Pockets
  - 3.2.2. Top Winning Strategies
- 3.3. Porter's Five Forces Analysis
  - 3.3.1. Bargaining Power of Suppliers
  - 3.3.2. Threat of New Entrants
  - 3.3.3. Threat of Substitutes
  - 3.3.4. Competitive Rivalry
  - 3.3.5. Bargaining Power among Buyers
- 3.5. Market Dynamics
  - 3.5.1. Drivers
  - 3.5.2. Restraints
  - 3.5.3. Opportunities
- 3.6. COVID-19 Impact Analysis
CHAPTER 4: DISASTER RECOVERY IN BANKING MARKET, BY COMPONENT
- 4.1. Market Overview
  - 4.1.1 Market Size and Forecast, By Component
- 4.2. Solution
  - 4.2.1. Key Market Trends, Growth Factors and Opportunities
  - 4.2.2. Market Size and Forecast, By Region
  - 4.2.3. Market Share Analysis, By Country
  - 4.2.4. Device Management
    - 4.2.4.1. Market Size and Forecast
  - 4.2.4. Access Management
    - 4.2.4.1. Market Size and Forecast
  - 4.2.4. Application Management
    - 4.2.4.1. Market Size and Forecast
  - 4.2.4. Others
    - 4.2.4.1. Market Size and Forecast
- 4.3. Services
  - 4.3.1. Key Market Trends, Growth Factors and Opportunities
  - 4.3.2. Market Size and Forecast, By Region
  - 4.3.3. Market Share Analysis, By Country
  - 4.3.4. Real-time Replication
    - 4.3.4.1. Market Size and Forecast
  - 4.3.4. Backup and Restore
    - 4.3.4.1. Market Size and Forecast
  - 4.3.4. Data Protection
    - 4.3.4.1. Market Size and Forecast
CHAPTER 5: DISASTER RECOVERY IN BANKING MARKET, BY DEPLOYMENT MODEL
- 5.1. Market Overview
  - 5.1.1 Market Size and Forecast, By Deployment Model
- 5.2. Private Cloud
  - 5.2.1. Key Market Trends, Growth Factors and Opportunities
  - 5.2.2. Market Size and Forecast, By Region
  - 5.2.3. Market Share Analysis, By Country
- 5.3. Public Cloud
  - 5.3.1. Key Market Trends, Growth Factors and Opportunities
  - 5.3.2. Market Size and Forecast, By Region
  - 5.3.3. Market Share Analysis, By Country
- 5.4. Hybrid Cloud
  - 5.4.1. Key Market Trends, Growth Factors and Opportunities
  - 5.4.2. Market Size and Forecast, By Region
  - 5.4.3. Market Share Analysis, By Country
CHAPTER 6: DISASTER RECOVERY IN BANKING MARKET, BY ENTERPRISE SIZE
- 6.1. Market Overview
  - 6.1.1 Market Size and Forecast, By Enterprise Size
- 6.2. Large Enterprise
  - 6.2.1. Key Market Trends, Growth Factors and Opportunities
  - 6.2.2. Market Size and Forecast, By Region
  - 6.2.3. Market Share Analysis, By Country
- 6.3. Small Medium Enterprises
  - 6.3.1. Key Market Trends, Growth Factors and Opportunities
  - 6.3.2. Market Size and Forecast, By Region
  - 6.3.3. Market Share Analysis, By Country
CHAPTER 7: DISASTER RECOVERY IN BANKING MARKET, BY REGION
- 7.1. Market Overview
  - 7.1.1 Market Size and Forecast, By Region
- 7.2. North America
  - 7.2.1. Key Market Trends and Opportunities
  - 7.2.2. Market Size and Forecast, By Component
  - 7.2.3. Market Size and Forecast, By Deployment Model
  - 7.2.4. Market Size and Forecast, By Enterprise Size
  - 7.2.5. Market Size and Forecast, By Country
  - 7.2.6. U.S. Disaster Recovery In Banking Market
    - 7.2.6.1. Market Size and Forecast, By Component
    - 7.2.6.2. Market Size and Forecast, By Deployment Model
    - 7.2.6.3. Market Size and Forecast, By Enterprise Size
  - 7.2.7. Canada Disaster Recovery In Banking Market
    - 7.2.7.1. Market Size and Forecast, By Component
    - 7.2.7.2. Market Size and Forecast, By Deployment Model
    - 7.2.7.3. Market Size and Forecast, By Enterprise Size
  - 7.2.8. Mexico Disaster Recovery In Banking Market
    - 7.2.8.1. Market Size and Forecast, By Component
    - 7.2.8.2. Market Size and Forecast, By Deployment Model
    - 7.2.8.3. Market Size and Forecast, By Enterprise Size
- 7.3. Europe
  - 7.3.1. Key Market Trends and Opportunities
  - 7.3.2. Market Size and Forecast, By Component
  - 7.3.3. Market Size and Forecast, By Deployment Model
  - 7.3.4. Market Size and Forecast, By Enterprise Size
  - 7.3.5. Market Size and Forecast, By Country
  - 7.3.6. France Disaster Recovery In Banking Market
    - 7.3.6.1. Market Size and Forecast, By Component
    - 7.3.6.2. Market Size and Forecast, By Deployment Model
    - 7.3.6.3. Market Size and Forecast, By Enterprise Size
  - 7.3.7. Germany Disaster Recovery In Banking Market
    - 7.3.7.1. Market Size and Forecast, By Component
    - 7.3.7.2. Market Size and Forecast, By Deployment Model
    - 7.3.7.3. Market Size and Forecast, By Enterprise Size
  - 7.3.8. Italy Disaster Recovery In Banking Market
    - 7.3.8.1. Market Size and Forecast, By Component
    - 7.3.8.2. Market Size and Forecast, By Deployment Model
    - 7.3.8.3. Market Size and Forecast, By Enterprise Size
  - 7.3.9. Spain Disaster Recovery In Banking Market
    - 7.3.9.1. Market Size and Forecast, By Component
    - 7.3.9.2. Market Size and Forecast, By Deployment Model
    - 7.3.9.3. Market Size and Forecast, By Enterprise Size
  - 7.3.10. UK Disaster Recovery In Banking Market
    - 7.3.10.1. Market Size and Forecast, By Component
    - 7.3.10.2. Market Size and Forecast, By Deployment Model
    - 7.3.10.3. Market Size and Forecast, By Enterprise Size
  - 7.3.11. Russia Disaster Recovery In Banking Market
    - 7.3.11.1. Market Size and Forecast, By Component
    - 7.3.11.2. Market Size and Forecast, By Deployment Model
    - 7.3.11.3. Market Size and Forecast, By Enterprise Size
  - 7.3.12. Rest Of Europe Disaster Recovery In Banking Market
    - 7.3.12.1. Market Size and Forecast, By Component
    - 7.3.12.2. Market Size and Forecast, By Deployment Model
    - 7.3.12.3. Market Size and Forecast, By Enterprise Size
- 7.4. Asia-Pacific
  - 7.4.1. Key Market Trends and Opportunities
  - 7.4.2. Market Size and Forecast, By Component
  - 7.4.3. Market Size and Forecast, By Deployment Model
  - 7.4.4. Market Size and Forecast, By Enterprise Size
  - 7.4.5. Market Size and Forecast, By Country
  - 7.4.6. China Disaster Recovery In Banking Market
    - 7.4.6.1. Market Size and Forecast, By Component
    - 7.4.6.2. Market Size and Forecast, By Deployment Model
    - 7.4.6.3. Market Size and Forecast, By Enterprise Size
  - 7.4.7. Japan Disaster Recovery In Banking Market
    - 7.4.7.1. Market Size and Forecast, By Component
    - 7.4.7.2. Market Size and Forecast, By Deployment Model
    - 7.4.7.3. Market Size and Forecast, By Enterprise Size
  - 7.4.8. India Disaster Recovery In Banking Market
    - 7.4.8.1. Market Size and Forecast, By Component
    - 7.4.8.2. Market Size and Forecast, By Deployment Model
    - 7.4.8.3. Market Size and Forecast, By Enterprise Size
  - 7.4.9. South Korea Disaster Recovery In Banking Market
    - 7.4.9.1. Market Size and Forecast, By Component
    - 7.4.9.2. Market Size and Forecast, By Deployment Model
    - 7.4.9.3. Market Size and Forecast, By Enterprise Size
  - 7.4.10. Australia Disaster Recovery In Banking Market
    - 7.4.10.1. Market Size and Forecast, By Component
    - 7.4.10.2. Market Size and Forecast, By Deployment Model
    - 7.4.10.3. Market Size and Forecast, By Enterprise Size
  - 7.4.11. Thailand Disaster Recovery In Banking Market
    - 7.4.11.1. Market Size and Forecast, By Component
    - 7.4.11.2. Market Size and Forecast, By Deployment Model
    - 7.4.11.3. Market Size and Forecast, By Enterprise Size
  - 7.4.12. Malaysia Disaster Recovery In Banking Market
    - 7.4.12.1. Market Size and Forecast, By Component
    - 7.4.12.2. Market Size and Forecast, By Deployment Model
    - 7.4.12.3. Market Size and Forecast, By Enterprise Size
  - 7.4.13. Indonesia Disaster Recovery In Banking Market
    - 7.4.13.1. Market Size and Forecast, By Component
    - 7.4.13.2. Market Size and Forecast, By Deployment Model
    - 7.4.13.3. Market Size and Forecast, By Enterprise Size
  - 7.4.14. Rest of Asia Pacific Disaster Recovery In Banking Market
    - 7.4.14.1. Market Size and Forecast, By Component
    - 7.4.14.2. Market Size and Forecast, By Deployment Model
    - 7.4.14.3. Market Size and Forecast, By Enterprise Size
- 7.5. LAMEA
  - 7.5.1. Key Market Trends and Opportunities
  - 7.5.2. Market Size and Forecast, By Component
  - 7.5.3. Market Size and Forecast, By Deployment Model
  - 7.5.4. Market Size and Forecast, By Enterprise Size
  - 7.5.5. Market Size and Forecast, By Country
  - 7.5.6. Brazil Disaster Recovery In Banking Market
    - 7.5.6.1. Market Size and Forecast, By Component
    - 7.5.6.2. Market Size and Forecast, By Deployment Model
    - 7.5.6.3. Market Size and Forecast, By Enterprise Size
  - 7.5.7. South Africa Disaster Recovery In Banking Market
    - 7.5.7.1. Market Size and Forecast, By Component
    - 7.5.7.2. Market Size and Forecast, By Deployment Model
    - 7.5.7.3. Market Size and Forecast, By Enterprise Size
  - 7.5.8. Saudi Arabia Disaster Recovery In Banking Market
    - 7.5.8.1. Market Size and Forecast, By Component
    - 7.5.8.2. Market Size and Forecast, By Deployment Model
    - 7.5.8.3. Market Size and Forecast, By Enterprise Size
  - 7.5.9. UAE Disaster Recovery In Banking Market
    - 7.5.9.1. Market Size and Forecast, By Component
    - 7.5.9.2. Market Size and Forecast, By Deployment Model
    - 7.5.9.3. Market Size and Forecast, By Enterprise Size
  - 7.5.10. Argentina Disaster Recovery In Banking Market
    - 7.5.10.1. Market Size and Forecast, By Component
    - 7.5.10.2. Market Size and Forecast, By Deployment Model
    - 7.5.10.3. Market Size and Forecast, By Enterprise Size
  - 7.5.11. Rest of LAMEA Disaster Recovery In Banking Market
    - 7.5.11.1. Market Size and Forecast, By Component
    - 7.5.11.2. Market Size and Forecast, By Deployment Model
    - 7.5.11.3. Market Size and Forecast, By Enterprise Size
CHAPTER 8: COMPETITIVE LANDSCAPE
- 8.1. Introduction
- 8.2. Top Winning Strategies
- 8.3. Product Mapping Of Top 10 Player
- 8.4. Competitive Dashboard
- 8.5. Competitive Heatmap
- 8.6. Top Player Positioning,2022
CHAPTER 9: COMPANY PROFILES
- 9.1. Microsoft Corporation
  - 9.1.1. Company Overview
  - 9.1.2. Key Executives
  - 9.1.3. Company Snapshot
  - 9.1.4. Operating Business Segments
  - 9.1.5. Product Portfolio
  - 9.1.6. Business Performance
  - 9.1.7. Key Strategic Moves and Developments
- 9.2. International Business Machines (IBM) Corporation
  - 9.2.1. Company Overview
  - 9.2.2. Key Executives
  - 9.2.3. Company Snapshot
  - 9.2.4. Operating Business Segments
  - 9.2.5. Product Portfolio
  - 9.2.6. Business Performance
  - 9.2.7. Key Strategic Moves and Developments
- 9.3. VMware Inc.
  - 9.3.1. Company Overview
  - 9.3.2. Key Executives
  - 9.3.3. Company Snapshot
  - 9.3.4. Operating Business Segments
  - 9.3.5. Product Portfolio
  - 9.3.6. Business Performance
  - 9.3.7. Key Strategic Moves and Developments
- 9.4. Recovery Point
  - 9.4.1. Company Overview
  - 9.4.2. Key Executives
  - 9.4.3. Company Snapshot
  - 9.4.4. Operating Business Segments
  - 9.4.5. Product Portfolio
  - 9.4.6. Business Performance
  - 9.4.7. Key Strategic Moves and Developments
- 9.5. Sungard Availability Services
  - 9.5.1. Company Overview
  - 9.5.2. Key Executives
  - 9.5.3. Company Snapshot
  - 9.5.4. Operating Business Segments
  - 9.5.5. Product Portfolio
  - 9.5.6. Business Performance
  - 9.5.7. Key Strategic Moves and Developments
- 9.6. InterVision Systems
  - 9.6.1. Company Overview
  - 9.6.2. Key Executives
  - 9.6.3. Company Snapshot
  - 9.6.4. Operating Business Segments
  - 9.6.5. Product Portfolio
  - 9.6.6. Business Performance
  - 9.6.7. Key Strategic Moves and Developments
- 9.7. Amazon Web Services (AWS)
  - 9.7.1. Company Overview
  - 9.7.2. Key Executives
  - 9.7.3. Company Snapshot
  - 9.7.4. Operating Business Segments
  - 9.7.5. Product Portfolio
  - 9.7.6. Business Performance
  - 9.7.7. Key Strategic Moves and Developments
- 9.8. TierPoint
  - 9.8.1. Company Overview
  - 9.8.2. Key Executives
  - 9.8.3. Company Snapshot
  - 9.8.4. Operating Business Segments
  - 9.8.5. Product Portfolio
  - 9.8.6. Business Performance
  - 9.8.7. Key Strategic Moves and Developments
- 9.9. Infrascale
  - 9.9.1. Company Overview
  - 9.9.2. Key Executives
  - 9.9.3. Company Snapshot
  - 9.9.4. Operating Business Segments
  - 9.9.5. Product Portfolio
  - 9.9.6. Business Performance
  - 9.9.7. Key Strategic Moves and Developments
- 9.10. Company10
  - 9.10.1. Company Overview
  - 9.10.2. Key Executives
  - 9.10.3. Company Snapshot
  - 9.10.4. Operating Business Segments
  - 9.10.5. Product Portfolio
  - 9.10.6. Business Performance
  - 9.10.7. Key Strategic Moves and Developments

LIST OF TABLES
TABLE 1. GLOBAL DISASTER RECOVERY IN BANKING MARKET, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 2. GLOBAL DISASTER RECOVERY IN BANKING MARKET FOR SOLUTION, BY REGION, 2022-2032 ($MILLION)
TABLE 3. GLOBAL DISASTER RECOVERY IN BANKING MARKET FOR SERVICES, BY REGION, 2022-2032 ($MILLION)
TABLE 4. GLOBAL DISASTER RECOVERY IN BANKING MARKET, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
TABLE 5. GLOBAL DISASTER RECOVERY IN BANKING MARKET FOR PRIVATE CLOUD, BY REGION, 2022-2032 ($MILLION)
TABLE 6. GLOBAL DISASTER RECOVERY IN BANKING MARKET FOR PUBLIC CLOUD, BY REGION, 2022-2032 ($MILLION)
TABLE 7. GLOBAL DISASTER RECOVERY IN BANKING MARKET FOR HYBRID CLOUD, BY REGION, 2022-2032 ($MILLION)
TABLE 8. GLOBAL DISASTER RECOVERY IN BANKING MARKET, BY ENTERPRISE SIZE, 2022-2032 ($MILLION)
TABLE 9. GLOBAL DISASTER RECOVERY IN BANKING MARKET FOR LARGE ENTERPRISE, BY REGION, 2022-2032 ($MILLION)
TABLE 10. GLOBAL DISASTER RECOVERY IN BANKING MARKET FOR SMALL MEDIUM ENTERPRISES, BY REGION, 2022-2032 ($MILLION)
TABLE 11. GLOBAL DISASTER RECOVERY IN BANKING MARKET, BY REGION, 2022-2032 ($MILLION)
TABLE 12. NORTH AMERICA DISASTER RECOVERY IN BANKING, BY REGION, 2022-2032 ($MILLION)
TABLE 13. NORTH AMERICA DISASTER RECOVERY IN BANKING, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 14. NORTH AMERICA DISASTER RECOVERY IN BANKING, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
TABLE 15. NORTH AMERICA DISASTER RECOVERY IN BANKING, BY ENTERPRISE SIZE, 2022-2032 ($MILLION)
TABLE 16. U.S. DISASTER RECOVERY IN BANKING, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 17. U.S. DISASTER RECOVERY IN BANKING, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
TABLE 18. U.S. DISASTER RECOVERY IN BANKING, BY ENTERPRISE SIZE, 2022-2032 ($MILLION)
TABLE 19. CANADA DISASTER RECOVERY IN BANKING, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 20. CANADA DISASTER RECOVERY IN BANKING, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
TABLE 21. CANADA DISASTER RECOVERY IN BANKING, BY ENTERPRISE SIZE, 2022-2032 ($MILLION)
TABLE 22. MEXICO DISASTER RECOVERY IN BANKING, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 23. MEXICO DISASTER RECOVERY IN BANKING, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
TABLE 24. MEXICO DISASTER RECOVERY IN BANKING, BY ENTERPRISE SIZE, 2022-2032 ($MILLION)
TABLE 25. EUROPE DISASTER RECOVERY IN BANKING, BY REGION, 2022-2032 ($MILLION)
TABLE 26. EUROPE DISASTER RECOVERY IN BANKING, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 27. EUROPE DISASTER RECOVERY IN BANKING, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
TABLE 28. EUROPE DISASTER RECOVERY IN BANKING, BY ENTERPRISE SIZE, 2022-2032 ($MILLION)
TABLE 29. FRANCE DISASTER RECOVERY IN BANKING, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 30. FRANCE DISASTER RECOVERY IN BANKING, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
TABLE 31. FRANCE DISASTER RECOVERY IN BANKING, BY ENTERPRISE SIZE, 2022-2032 ($MILLION)
TABLE 32. GERMANY DISASTER RECOVERY IN BANKING, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 33. GERMANY DISASTER RECOVERY IN BANKING, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
TABLE 34. GERMANY DISASTER RECOVERY IN BANKING, BY ENTERPRISE SIZE, 2022-2032 ($MILLION)
TABLE 35. ITALY DISASTER RECOVERY IN BANKING, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 36. ITALY DISASTER RECOVERY IN BANKING, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
TABLE 37. ITALY DISASTER RECOVERY IN BANKING, BY ENTERPRISE SIZE, 2022-2032 ($MILLION)
TABLE 38. SPAIN DISASTER RECOVERY IN BANKING, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 39. SPAIN DISASTER RECOVERY IN BANKING, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
TABLE 40. SPAIN DISASTER RECOVERY IN BANKING, BY ENTERPRISE SIZE, 2022-2032 ($MILLION)
TABLE 41. UK DISASTER RECOVERY IN BANKING, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 42. UK DISASTER RECOVERY IN BANKING, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
TABLE 43. UK DISASTER RECOVERY IN BANKING, BY ENTERPRISE SIZE, 2022-2032 ($MILLION)
TABLE 44. RUSSIA DISASTER RECOVERY IN BANKING, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 45. RUSSIA DISASTER RECOVERY IN BANKING, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
TABLE 46. RUSSIA DISASTER RECOVERY IN BANKING, BY ENTERPRISE SIZE, 2022-2032 ($MILLION)
TABLE 47. REST OF EUROPE DISASTER RECOVERY IN BANKING, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 48. REST OF EUROPE DISASTER RECOVERY IN BANKING, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
TABLE 49. REST OF EUROPE DISASTER RECOVERY IN BANKING, BY ENTERPRISE SIZE, 2022-2032 ($MILLION)
TABLE 50. ASIA-PACIFIC DISASTER RECOVERY IN BANKING, BY REGION, 2022-2032 ($MILLION)
TABLE 51. ASIA-PACIFIC DISASTER RECOVERY IN BANKING, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 52. ASIA-PACIFIC DISASTER RECOVERY IN BANKING, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
TABLE 53. ASIA-PACIFIC DISASTER RECOVERY IN BANKING, BY ENTERPRISE SIZE, 2022-2032 ($MILLION)
TABLE 54. CHINA DISASTER RECOVERY IN BANKING, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 55. CHINA DISASTER RECOVERY IN BANKING, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
TABLE 56. CHINA DISASTER RECOVERY IN BANKING, BY ENTERPRISE SIZE, 2022-2032 ($MILLION)
TABLE 57. JAPAN DISASTER RECOVERY IN BANKING, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 58. JAPAN DISASTER RECOVERY IN BANKING, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
TABLE 59. JAPAN DISASTER RECOVERY IN BANKING, BY ENTERPRISE SIZE, 2022-2032 ($MILLION)
TABLE 60. INDIA DISASTER RECOVERY IN BANKING, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 61. INDIA DISASTER RECOVERY IN BANKING, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
TABLE 62. INDIA DISASTER RECOVERY IN BANKING, BY ENTERPRISE SIZE, 2022-2032 ($MILLION)
TABLE 63. SOUTH KOREA DISASTER RECOVERY IN BANKING, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 64. SOUTH KOREA DISASTER RECOVERY IN BANKING, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
TABLE 65. SOUTH KOREA DISASTER RECOVERY IN BANKING, BY ENTERPRISE SIZE, 2022-2032 ($MILLION)
TABLE 66. AUSTRALIA DISASTER RECOVERY IN BANKING, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 67. AUSTRALIA DISASTER RECOVERY IN BANKING, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
TABLE 68. AUSTRALIA DISASTER RECOVERY IN BANKING, BY ENTERPRISE SIZE, 2022-2032 ($MILLION)
TABLE 69. THAILAND DISASTER RECOVERY IN BANKING, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 70. THAILAND DISASTER RECOVERY IN BANKING, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
TABLE 71. THAILAND DISASTER RECOVERY IN BANKING, BY ENTERPRISE SIZE, 2022-2032 ($MILLION)
TABLE 72. MALAYSIA DISASTER RECOVERY IN BANKING, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 73. MALAYSIA DISASTER RECOVERY IN BANKING, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
TABLE 74. MALAYSIA DISASTER RECOVERY IN BANKING, BY ENTERPRISE SIZE, 2022-2032 ($MILLION)
TABLE 75. INDONESIA DISASTER RECOVERY IN BANKING, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 76. INDONESIA DISASTER RECOVERY IN BANKING, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
TABLE 77. INDONESIA DISASTER RECOVERY IN BANKING, BY ENTERPRISE SIZE, 2022-2032 ($MILLION)
TABLE 78. REST OF ASIA PACIFIC DISASTER RECOVERY IN BANKING, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 79. REST OF ASIA PACIFIC DISASTER RECOVERY IN BANKING, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
TABLE 80. REST OF ASIA PACIFIC DISASTER RECOVERY IN BANKING, BY ENTERPRISE SIZE, 2022-2032 ($MILLION)
TABLE 81. LAMEA DISASTER RECOVERY IN BANKING, BY REGION, 2022-2032 ($MILLION)
TABLE 82. LAMEA DISASTER RECOVERY IN BANKING, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 83. LAMEA DISASTER RECOVERY IN BANKING, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
TABLE 84. LAMEA DISASTER RECOVERY IN BANKING, BY ENTERPRISE SIZE, 2022-2032 ($MILLION)
TABLE 85. BRAZIL DISASTER RECOVERY IN BANKING, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 86. BRAZIL DISASTER RECOVERY IN BANKING, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
TABLE 87. BRAZIL DISASTER RECOVERY IN BANKING, BY ENTERPRISE SIZE, 2022-2032 ($MILLION)
TABLE 88. SOUTH AFRICA DISASTER RECOVERY IN BANKING, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 89. SOUTH AFRICA DISASTER RECOVERY IN BANKING, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
TABLE 90. SOUTH AFRICA DISASTER RECOVERY IN BANKING, BY ENTERPRISE SIZE, 2022-2032 ($MILLION)
TABLE 91. SAUDI ARABIA DISASTER RECOVERY IN BANKING, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 92. SAUDI ARABIA DISASTER RECOVERY IN BANKING, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
TABLE 93. SAUDI ARABIA DISASTER RECOVERY IN BANKING, BY ENTERPRISE SIZE, 2022-2032 ($MILLION)
TABLE 94. UAE DISASTER RECOVERY IN BANKING, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 95. UAE DISASTER RECOVERY IN BANKING, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
TABLE 96. UAE DISASTER RECOVERY IN BANKING, BY ENTERPRISE SIZE, 2022-2032 ($MILLION)
TABLE 97. ARGENTINA DISASTER RECOVERY IN BANKING, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 98. ARGENTINA DISASTER RECOVERY IN BANKING, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
TABLE 99. ARGENTINA DISASTER RECOVERY IN BANKING, BY ENTERPRISE SIZE, 2022-2032 ($MILLION)
TABLE 100. REST OF LAMEA DISASTER RECOVERY IN BANKING, BY COMPONENT, 2022-2032 ($MILLION)
TABLE 101. REST OF LAMEA DISASTER RECOVERY IN BANKING, BY DEPLOYMENT MODEL, 2022-2032 ($MILLION)
TABLE 102. REST OF LAMEA DISASTER RECOVERY IN BANKING, BY ENTERPRISE SIZE, 2022-2032 ($MILLION)
TABLE 103. MICROSOFT CORPORATION: KEY EXECUTIVES
TABLE 104. MICROSOFT CORPORATION: COMPANY SNAPSHOT
TABLE 105. MICROSOFT CORPORATION: OPERATING SEGMENTS
TABLE 106. MICROSOFT CORPORATION: PRODUCT PORTFOLIO
TABLE 107. MICROSOFT CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 108. INTERNATIONAL BUSINESS MACHINES (IBM) CORPORATION: KEY EXECUTIVES
TABLE 109. INTERNATIONAL BUSINESS MACHINES (IBM) CORPORATION: COMPANY SNAPSHOT
TABLE 110. INTERNATIONAL BUSINESS MACHINES (IBM) CORPORATION: OPERATING SEGMENTS
TABLE 111. INTERNATIONAL BUSINESS MACHINES (IBM) CORPORATION: PRODUCT PORTFOLIO
TABLE 112. INTERNATIONAL BUSINESS MACHINES (IBM) CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 113. VMWARE INC.: KEY EXECUTIVES
TABLE 114. VMWARE INC.: COMPANY SNAPSHOT
TABLE 115. VMWARE INC.: OPERATING SEGMENTS
TABLE 116. VMWARE INC.: PRODUCT PORTFOLIO
TABLE 117. VMWARE INC.: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 118. RECOVERY POINT: KEY EXECUTIVES
TABLE 119. RECOVERY POINT: COMPANY SNAPSHOT
TABLE 120. RECOVERY POINT: OPERATING SEGMENTS
TABLE 121. RECOVERY POINT: PRODUCT PORTFOLIO
TABLE 122. RECOVERY POINT: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 123. SUNGARD AVAILABILITY SERVICES: KEY EXECUTIVES
TABLE 124. SUNGARD AVAILABILITY SERVICES: COMPANY SNAPSHOT
TABLE 125. SUNGARD AVAILABILITY SERVICES: OPERATING SEGMENTS
TABLE 126. SUNGARD AVAILABILITY SERVICES: PRODUCT PORTFOLIO
TABLE 127. SUNGARD AVAILABILITY SERVICES: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 128. INTERVISION SYSTEMS: KEY EXECUTIVES
TABLE 129. INTERVISION SYSTEMS: COMPANY SNAPSHOT
TABLE 130. INTERVISION SYSTEMS: OPERATING SEGMENTS
TABLE 131. INTERVISION SYSTEMS: PRODUCT PORTFOLIO
TABLE 132. INTERVISION SYSTEMS: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 133. AMAZON WEB SERVICES (AWS): KEY EXECUTIVES
TABLE 134. AMAZON WEB SERVICES (AWS): COMPANY SNAPSHOT
TABLE 135. AMAZON WEB SERVICES (AWS): OPERATING SEGMENTS
TABLE 136. AMAZON WEB SERVICES (AWS): PRODUCT PORTFOLIO
TABLE 137. AMAZON WEB SERVICES (AWS): KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 138. TIERPOINT: KEY EXECUTIVES
TABLE 139. TIERPOINT: COMPANY SNAPSHOT
TABLE 140. TIERPOINT: OPERATING SEGMENTS
TABLE 141. TIERPOINT: PRODUCT PORTFOLIO
TABLE 142. TIERPOINT: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 143. INFRASCALE: KEY EXECUTIVES
TABLE 144. INFRASCALE: COMPANY SNAPSHOT
TABLE 145. INFRASCALE: OPERATING SEGMENTS
TABLE 146. INFRASCALE: PRODUCT PORTFOLIO
TABLE 147. INFRASCALE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 148. COMPANY10: KEY EXECUTIVES
TABLE 149. COMPANY10: COMPANY SNAPSHOT
TABLE 150. COMPANY10: OPERATING SEGMENTS
TABLE 151. COMPANY10: PRODUCT PORTFOLIO
TABLE 152. COMPANY10: KEY STRATEGIC MOVES AND DEVELOPMENTS

LIST OF FIGURES
FIGURE 1. GLOBAL DISASTER RECOVERY IN BANKING MARKET SEGMENTATION
FIGURE 2. GLOBAL DISASTER RECOVERY IN BANKING MARKET
FIGURE 3. SEGMENTATION DISASTER RECOVERY IN BANKING MARKET
FIGURE 4. TOP INVESTMENT POCKET IN DISASTER RECOVERY IN BANKING MARKET
FIGURE 5. MODERATE BARGAINING POWER OF BUYERS
FIGURE 6. MODERATE BARGAINING POWER OF SUPPLIERS
FIGURE 7. MODERATE THREAT OF NEW ENTRANTS
FIGURE 8. LOW THREAT OF SUBSTITUTION
FIGURE 9. HIGH COMPETITIVE RIVALRY
FIGURE 10. OPPORTUNITIES, RESTRAINTS AND DRIVERS: GLOBALDISASTER RECOVERY IN BANKING MARKET
FIGURE 11. DISASTER RECOVERY IN BANKING MARKET SEGMENTATION, BY BY COMPONENT
FIGURE 12. DISASTER RECOVERY IN BANKING MARKET FOR SOLUTION, BY COUNTRY, 2022-2032 ($MILLION)
FIGURE 13. DISASTER RECOVERY IN BANKING MARKET FOR SERVICES, BY COUNTRY, 2022-2032 ($MILLION)
FIGURE 14. DISASTER RECOVERY IN BANKING MARKET SEGMENTATION, BY BY DEPLOYMENT MODEL
FIGURE 15. DISASTER RECOVERY IN BANKING MARKET FOR PRIVATE CLOUD, BY COUNTRY, 2022-2032 ($MILLION)
FIGURE 16. DISASTER RECOVERY IN BANKING MARKET FOR PUBLIC CLOUD, BY COUNTRY, 2022-2032 ($MILLION)
FIGURE 17. DISASTER RECOVERY IN BANKING MARKET FOR HYBRID CLOUD, BY COUNTRY, 2022-2032 ($MILLION)
FIGURE 18. DISASTER RECOVERY IN BANKING MARKET SEGMENTATION, BY BY ENTERPRISE SIZE
FIGURE 19. DISASTER RECOVERY IN BANKING MARKET FOR LARGE ENTERPRISE, BY COUNTRY, 2022-2032 ($MILLION)
FIGURE 20. DISASTER RECOVERY IN BANKING MARKET FOR SMALL MEDIUM ENTERPRISES, BY COUNTRY, 2022-2032 ($MILLION)
FIGURE 21. TOP WINNING STRATEGIES, BY YEAR, 2020-2022*
FIGURE 22. TOP WINNING STRATEGIES, BY DEVELOPMENT, 2020-2022*
FIGURE 23. TOP WINNING STRATEGIES, BY COMPANY, 2020-2022*
FIGURE 24. PRODUCT MAPPING OF TOP 10 PLAYERS
FIGURE 25. COMPETITIVE DASHBOARD
FIGURE 26. COMPETITIVE HEATMAP: DISASTER RECOVERY IN BANKING MARKET
FIGURE 27. Top player positioning, 2022
FIGURE 28. MICROSOFT CORPORATION: NET SALES, 2020-2022 ($MILLION)
FIGURE 29. MICROSOFT CORPORATION: REVENUE SHARE, BY SEGMENT, 2032 (%)
FIGURE 30. MICROSOFT CORPORATION: REVENUE SHARE, BY REGION, 2032 (%)
FIGURE 31. INTERNATIONAL BUSINESS MACHINES (IBM) CORPORATION: NET SALES, 2020-2022 ($MILLION)
FIGURE 32. INTERNATIONAL BUSINESS MACHINES (IBM) CORPORATION: REVENUE SHARE, BY SEGMENT, 2032 (%)
FIGURE 33. INTERNATIONAL BUSINESS MACHINES (IBM) CORPORATION: REVENUE SHARE, BY REGION, 2032 (%)
FIGURE 34. VMWARE INC.: NET SALES, 2020-2022 ($MILLION)
FIGURE 35. VMWARE INC.: REVENUE SHARE, BY SEGMENT, 2032 (%)
FIGURE 36. VMWARE INC.: REVENUE SHARE, BY REGION, 2032 (%)
FIGURE 37. RECOVERY POINT: NET SALES, 2020-2022 ($MILLION)
FIGURE 38. RECOVERY POINT: REVENUE SHARE, BY SEGMENT, 2032 (%)
FIGURE 39. RECOVERY POINT: REVENUE SHARE, BY REGION, 2032 (%)
FIGURE 40. SUNGARD AVAILABILITY SERVICES: NET SALES, 2020-2022 ($MILLION)
FIGURE 41. SUNGARD AVAILABILITY SERVICES: REVENUE SHARE, BY SEGMENT, 2032 (%)
FIGURE 42. SUNGARD AVAILABILITY SERVICES: REVENUE SHARE, BY REGION, 2032 (%)
FIGURE 43. INTERVISION SYSTEMS: NET SALES, 2020-2022 ($MILLION)
FIGURE 44. INTERVISION SYSTEMS: REVENUE SHARE, BY SEGMENT, 2032 (%)
FIGURE 45. INTERVISION SYSTEMS: REVENUE SHARE, BY REGION, 2032 (%)
FIGURE 46. AMAZON WEB SERVICES (AWS): NET SALES, 2020-2022 ($MILLION)
FIGURE 47. AMAZON WEB SERVICES (AWS): REVENUE SHARE, BY SEGMENT, 2032 (%)
FIGURE 48. AMAZON WEB SERVICES (AWS): REVENUE SHARE, BY REGION, 2032 (%)
FIGURE 49. TIERPOINT: NET SALES, 2020-2022 ($MILLION)
FIGURE 50. TIERPOINT: REVENUE SHARE, BY SEGMENT, 2032 (%)
FIGURE 51. TIERPOINT: REVENUE SHARE, BY REGION, 2032 (%)
FIGURE 52. INFRASCALE: NET SALES, 2020-2022 ($MILLION)
FIGURE 53. INFRASCALE: REVENUE SHARE, BY SEGMENT, 2032 (%)
FIGURE 54. INFRASCALE: REVENUE SHARE, BY REGION, 2032 (%)
FIGURE 55. COMPANY10: NET SALES, 2020-2022 ($MILLION)
FIGURE 56. COMPANY10: REVENUE SHARE, BY SEGMENT, 2032 (%)
FIGURE 57. COMPANY10: REVENUE SHARE, BY REGION, 2032 (%)

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Disaster Recovery in Banking Market Global Opportunity Analysis and Industry Forecast, 2023-2032

2023

Disaster Recovery In Banking Market

Disaster Recovery in Banking Market

by Component (Solution, Services), by Deployment Model (Private Cloud, Public Cloud, Hybrid Cloud) and by Enterprise Size (Large Enterprise, Small Medium Enterprises): Global Opportunity Analysis and Industry Forecast, 2023-2032

COVID-19

Top Impacting Factors: Market Scenario Analysis, Trends, Drivers, and Impact Analysis

Rise in need for greater customer retention

Geographic separation of financial institutions

CHAPTER 1: INTRODUCTION

1.1. Report Description

1.2. Key Market Segments

1.3. Key Benefits

1.4. Research Methodology

1.4.1. Primary Research

1.4.2. Secondary Research

1.4.3. Analyst Tools and Models

CHAPTER 2: EXECUTIVE SUMMARY

2.1. CXO Perspective

CHAPTER 3: MARKET LANDSCAPE

3.1. Market Definition and Scope

3.2. Key Findings

3.2.1. Top Investment Pockets

3.2.2. Top Winning Strategies

3.3. Porter's Five Forces Analysis

3.3.1. Bargaining Power of Suppliers

3.3.2. Threat of New Entrants

3.3.3. Threat of Substitutes

3.3.4. Competitive Rivalry

3.3.5. Bargaining Power among Buyers

3.5. Market Dynamics

3.5.1. Drivers

3.5.2. Restraints

3.5.3. Opportunities

3.6. COVID-19 Impact Analysis

CHAPTER 4: DISASTER RECOVERY IN BANKING MARKET, BY COMPONENT

4.1. Market Overview

4.1.1 Market Size and Forecast, By Component

4.2. Solution

4.2.1. Key Market Trends, Growth Factors and Opportunities

4.2.2. Market Size and Forecast, By Region

4.2.3. Market Share Analysis, By Country

4.2.4. Device Management

4.2.4.1. Market Size and Forecast

4.2.4. Access Management

4.2.4.1. Market Size and Forecast

4.2.4. Application Management

4.2.4.1. Market Size and Forecast

4.2.4. Others

4.2.4.1. Market Size and Forecast

4.3. Services

4.3.1. Key Market Trends, Growth Factors and Opportunities

4.3.2. Market Size and Forecast, By Region

4.3.3. Market Share Analysis, By Country

4.3.4. Real-time Replication

4.3.4.1. Market Size and Forecast

4.3.4. Backup and Restore

4.3.4.1. Market Size and Forecast

4.3.4. Data Protection

4.3.4.1. Market Size and Forecast

CHAPTER 5: DISASTER RECOVERY IN BANKING MARKET, BY DEPLOYMENT MODEL

5.1. Market Overview

5.1.1 Market Size and Forecast, By Deployment Model

5.2. Private Cloud

5.2.1. Key Market Trends, Growth Factors and Opportunities

5.2.2. Market Size and Forecast, By Region

5.2.3. Market Share Analysis, By Country

5.3. Public Cloud

5.3.1. Key Market Trends, Growth Factors and Opportunities

5.3.2. Market Size and Forecast, By Region

5.3.3. Market Share Analysis, By Country

5.4. Hybrid Cloud

5.4.1. Key Market Trends, Growth Factors and Opportunities

5.4.2. Market Size and Forecast, By Region

5.4.3. Market Share Analysis, By Country

CHAPTER 6: DISASTER RECOVERY IN BANKING MARKET, BY ENTERPRISE SIZE

6.1. Market Overview

6.1.1 Market Size and Forecast, By Enterprise Size

Disaster Recovery in Banking Market
Global Opportunity Analysis and Industry Forecast, 2023-2032