Global Leasing Automation Software

Leasing Automation Software Comprehensive Study by Type (Cloud Based, Web Base), Application (Large Enterprises, SMEs) Players and Region - Global Market Outlook to 2028

Leasing Automation Software Market by XX Submarkets | Forecast Years 2023-2028  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Leasing Automation Software Market Scope
Lease automation software helps commercial real estate professionals prepare, analyze, and distribute leases and relevant documentation. Lease automation software provides a centralized database that stores deal information and built-in financial analysis tools. These enable users to manage lease payments, prepare abstracts and stacking plans and analyze lease-level financial information. Lease automation software is commonly used by leasing agents and tenant representatives at commercial real estate companies. These systems streamline deal workflows and facilitate pipeline management



The companies are exploring the market by adopting mergers & acquisitions, expansions, investments, new service launches and collaborations as their preferred strategies. The players are exploring new geographies through expansions and acquisitions to avail a competitive advantage through combined synergies. Research Analyst at AMA estimates that United States Players will contribute to the maximum growth of Global Leasing Automation Software market throughout the predicted period.

Re-Leased (United Kingdom), Lisa (Switzerland), LeasePilot (United States), Soft4Leasing (Lithuania), DealSumm (United States), IntellaLease (United States) and LeasePilot (United States) are some of the key players that are part of study coverage.

Segmentation Overview
The study have segmented the market of Global Leasing Automation Software market by Type (Cloud Based and Web Base), by Application (Large Enterprises and SMEs) and Region with country level break-up.

On the basis of geography, the market of Leasing Automation 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).

Influencing Trend:
The Introduction of Reminders and Alarms for Proper lease Management for Proper and Timely Payments

Market Growth Drivers:
Need for Managing a Large Number of Leasing Data and The Increasing Leasing Activities in Various Industries

Challenges:
Stringent Regulatory Standards on Lease Administration

Restraints:
Data Safety Related Risks Involved with Leasing Automation Software

Opportunities:
Surging Demand for Leasing Automation Software form Real Estate Industry

Market Leaders and their Expansionary Development Strategies
In Jun 2020, LeaseAccelerator Announced a partnership with NTrust, the global industry leader in developing technology-enabled services for the Corporate Real Estate (CRE) industry. This partnership supports the delivery of Global Lease Services (GLS), an outsourced data solution that provides streamlined portfolio, fleet, and equipment lease management for global organizations.
In Nov 2020, LeaseAccelerator announced several enhancements to its LLA platform that simplify and accelerate audit readiness. This upgrade provides corporate controllers with a more holistic view of their portfolio and greater insights about specific transactions, removing cost, risk, and time from closes and audits.


Key Target Audience
Leasing Automation Software Provider, New Entrants/Investors, Analysts and Strategic Business Planners, Government Regulatory and Research Organizations, End-Use Industry, Potential Investors, Regulatory Bodies and Others

About Approach
The research aims to propose a patent-based approach in searching for potential technology partners as a supporting tool for enabling open innovation. The study also proposes a systematic searching process of technology partners as a
preliminary step to select the emerging and key players that are involved in implementing market estimations. While patent analysis is employed to overcome the aforementioned data- and process-related limitations, as expenses occurred in that technology allows us to estimate the market size by evolving segments as target market from the total available market.

Report Objectives / Segmentation Covered

By Type
  • Cloud Based
  • Web Base
By Application
  • Large Enterprises
  • SMEs
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. Need for Managing a Large Number of Leasing Data
      • 3.2.2. The Increasing Leasing Activities in Various Industries
    • 3.3. Market Challenges
      • 3.3.1. Stringent Regulatory Standards on Lease Administration
    • 3.4. Market Trends
      • 3.4.1. The Introduction of Reminders and Alarms for Proper lease Management for Proper and Timely Payments
  • 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 Leasing Automation Software, by Type, Application and Region (value and price ) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global Leasing Automation Software (Value)
      • 5.2.1. Global Leasing Automation Software by: Type (Value)
        • 5.2.1.1. Cloud Based
        • 5.2.1.2. Web Base
      • 5.2.2. Global Leasing Automation Software by: Application (Value)
        • 5.2.2.1. Large Enterprises
        • 5.2.2.2. SMEs
      • 5.2.3. Global Leasing Automation Software Region
        • 5.2.3.1. South America
          • 5.2.3.1.1. Brazil
          • 5.2.3.1.2. Argentina
          • 5.2.3.1.3. Rest of South America
        • 5.2.3.2. Asia Pacific
          • 5.2.3.2.1. China
          • 5.2.3.2.2. Japan
          • 5.2.3.2.3. India
          • 5.2.3.2.4. South Korea
          • 5.2.3.2.5. Taiwan
          • 5.2.3.2.6. Australia
          • 5.2.3.2.7. Rest of Asia-Pacific
        • 5.2.3.3. Europe
          • 5.2.3.3.1. Germany
          • 5.2.3.3.2. France
          • 5.2.3.3.3. Italy
          • 5.2.3.3.4. United Kingdom
          • 5.2.3.3.5. Netherlands
          • 5.2.3.3.6. Rest of Europe
        • 5.2.3.4. MEA
          • 5.2.3.4.1. Middle East
          • 5.2.3.4.2. Africa
        • 5.2.3.5. North America
          • 5.2.3.5.1. United States
          • 5.2.3.5.2. Canada
          • 5.2.3.5.3. Mexico
    • 5.3. Global Leasing Automation Software (Price)
      • 5.3.1. Global Leasing Automation Software by: Type (Price)
  • 6. Leasing Automation Software: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
    • 6.2. Peer Group Analysis (2022)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. Re-Leased (United Kingdom)
        • 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. Lisa (Switzerland)
        • 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. LeasePilot (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. Soft4Leasing (Lithuania)
        • 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. DealSumm (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. IntellaLease (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. LeasePilot (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
  • 7. Global Leasing Automation Software Sale, by Type, Application and Region (value and price ) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global Leasing Automation Software (Value)
      • 7.2.1. Global Leasing Automation Software by: Type (Value)
        • 7.2.1.1. Cloud Based
        • 7.2.1.2. Web Base
      • 7.2.2. Global Leasing Automation Software by: Application (Value)
        • 7.2.2.1. Large Enterprises
        • 7.2.2.2. SMEs
      • 7.2.3. Global Leasing Automation Software Region
        • 7.2.3.1. South America
          • 7.2.3.1.1. Brazil
          • 7.2.3.1.2. Argentina
          • 7.2.3.1.3. Rest of South America
        • 7.2.3.2. Asia Pacific
          • 7.2.3.2.1. China
          • 7.2.3.2.2. Japan
          • 7.2.3.2.3. India
          • 7.2.3.2.4. South Korea
          • 7.2.3.2.5. Taiwan
          • 7.2.3.2.6. Australia
          • 7.2.3.2.7. Rest of Asia-Pacific
        • 7.2.3.3. Europe
          • 7.2.3.3.1. Germany
          • 7.2.3.3.2. France
          • 7.2.3.3.3. Italy
          • 7.2.3.3.4. United Kingdom
          • 7.2.3.3.5. Netherlands
          • 7.2.3.3.6. Rest of Europe
        • 7.2.3.4. MEA
          • 7.2.3.4.1. Middle East
          • 7.2.3.4.2. Africa
        • 7.2.3.5. North America
          • 7.2.3.5.1. United States
          • 7.2.3.5.2. Canada
          • 7.2.3.5.3. Mexico
    • 7.3. Global Leasing Automation Software (Price)
      • 7.3.1. Global Leasing Automation Software by: Type (Price)
  • 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. Leasing Automation Software: by Type(USD Million)
  • Table 2. Leasing Automation Software Cloud Based , by Region USD Million (2017-2022)
  • Table 3. Leasing Automation Software Web Base , by Region USD Million (2017-2022)
  • Table 4. Leasing Automation Software: by Application(USD Million)
  • Table 5. Leasing Automation Software Large Enterprises , by Region USD Million (2017-2022)
  • Table 6. Leasing Automation Software SMEs , by Region USD Million (2017-2022)
  • Table 7. South America Leasing Automation Software, by Country USD Million (2017-2022)
  • Table 8. South America Leasing Automation Software, by Type USD Million (2017-2022)
  • Table 9. South America Leasing Automation Software, by Application USD Million (2017-2022)
  • Table 10. Brazil Leasing Automation Software, by Type USD Million (2017-2022)
  • Table 11. Brazil Leasing Automation Software, by Application USD Million (2017-2022)
  • Table 12. Argentina Leasing Automation Software, by Type USD Million (2017-2022)
  • Table 13. Argentina Leasing Automation Software, by Application USD Million (2017-2022)
  • Table 14. Rest of South America Leasing Automation Software, by Type USD Million (2017-2022)
  • Table 15. Rest of South America Leasing Automation Software, by Application USD Million (2017-2022)
  • Table 16. Asia Pacific Leasing Automation Software, by Country USD Million (2017-2022)
  • Table 17. Asia Pacific Leasing Automation Software, by Type USD Million (2017-2022)
  • Table 18. Asia Pacific Leasing Automation Software, by Application USD Million (2017-2022)
  • Table 19. China Leasing Automation Software, by Type USD Million (2017-2022)
  • Table 20. China Leasing Automation Software, by Application USD Million (2017-2022)
  • Table 21. Japan Leasing Automation Software, by Type USD Million (2017-2022)
  • Table 22. Japan Leasing Automation Software, by Application USD Million (2017-2022)
  • Table 23. India Leasing Automation Software, by Type USD Million (2017-2022)
  • Table 24. India Leasing Automation Software, by Application USD Million (2017-2022)
  • Table 25. South Korea Leasing Automation Software, by Type USD Million (2017-2022)
  • Table 26. South Korea Leasing Automation Software, by Application USD Million (2017-2022)
  • Table 27. Taiwan Leasing Automation Software, by Type USD Million (2017-2022)
  • Table 28. Taiwan Leasing Automation Software, by Application USD Million (2017-2022)
  • Table 29. Australia Leasing Automation Software, by Type USD Million (2017-2022)
  • Table 30. Australia Leasing Automation Software, by Application USD Million (2017-2022)
  • Table 31. Rest of Asia-Pacific Leasing Automation Software, by Type USD Million (2017-2022)
  • Table 32. Rest of Asia-Pacific Leasing Automation Software, by Application USD Million (2017-2022)
  • Table 33. Europe Leasing Automation Software, by Country USD Million (2017-2022)
  • Table 34. Europe Leasing Automation Software, by Type USD Million (2017-2022)
  • Table 35. Europe Leasing Automation Software, by Application USD Million (2017-2022)
  • Table 36. Germany Leasing Automation Software, by Type USD Million (2017-2022)
  • Table 37. Germany Leasing Automation Software, by Application USD Million (2017-2022)
  • Table 38. France Leasing Automation Software, by Type USD Million (2017-2022)
  • Table 39. France Leasing Automation Software, by Application USD Million (2017-2022)
  • Table 40. Italy Leasing Automation Software, by Type USD Million (2017-2022)
  • Table 41. Italy Leasing Automation Software, by Application USD Million (2017-2022)
  • Table 42. United Kingdom Leasing Automation Software, by Type USD Million (2017-2022)
  • Table 43. United Kingdom Leasing Automation Software, by Application USD Million (2017-2022)
  • Table 44. Netherlands Leasing Automation Software, by Type USD Million (2017-2022)
  • Table 45. Netherlands Leasing Automation Software, by Application USD Million (2017-2022)
  • Table 46. Rest of Europe Leasing Automation Software, by Type USD Million (2017-2022)
  • Table 47. Rest of Europe Leasing Automation Software, by Application USD Million (2017-2022)
  • Table 48. MEA Leasing Automation Software, by Country USD Million (2017-2022)
  • Table 49. MEA Leasing Automation Software, by Type USD Million (2017-2022)
  • Table 50. MEA Leasing Automation Software, by Application USD Million (2017-2022)
  • Table 51. Middle East Leasing Automation Software, by Type USD Million (2017-2022)
  • Table 52. Middle East Leasing Automation Software, by Application USD Million (2017-2022)
  • Table 53. Africa Leasing Automation Software, by Type USD Million (2017-2022)
  • Table 54. Africa Leasing Automation Software, by Application USD Million (2017-2022)
  • Table 55. North America Leasing Automation Software, by Country USD Million (2017-2022)
  • Table 56. North America Leasing Automation Software, by Type USD Million (2017-2022)
  • Table 57. North America Leasing Automation Software, by Application USD Million (2017-2022)
  • Table 58. United States Leasing Automation Software, by Type USD Million (2017-2022)
  • Table 59. United States Leasing Automation Software, by Application USD Million (2017-2022)
  • Table 60. Canada Leasing Automation Software, by Type USD Million (2017-2022)
  • Table 61. Canada Leasing Automation Software, by Application USD Million (2017-2022)
  • Table 62. Mexico Leasing Automation Software, by Type USD Million (2017-2022)
  • Table 63. Mexico Leasing Automation Software, by Application USD Million (2017-2022)
  • Table 64. Leasing Automation Software: by Type(USD/Units)
  • Table 65. Company Basic Information, Sales Area and Its Competitors
  • Table 66. Company Basic Information, Sales Area and Its Competitors
  • Table 67. Company Basic Information, Sales Area and Its Competitors
  • Table 68. Company Basic Information, Sales Area and Its Competitors
  • Table 69. Company Basic Information, Sales Area and Its Competitors
  • Table 70. Company Basic Information, Sales Area and Its Competitors
  • Table 71. Company Basic Information, Sales Area and Its Competitors
  • Table 72. Leasing Automation Software: by Type(USD Million)
  • Table 73. Leasing Automation Software Cloud Based , by Region USD Million (2023-2028)
  • Table 74. Leasing Automation Software Web Base , by Region USD Million (2023-2028)
  • Table 75. Leasing Automation Software: by Application(USD Million)
  • Table 76. Leasing Automation Software Large Enterprises , by Region USD Million (2023-2028)
  • Table 77. Leasing Automation Software SMEs , by Region USD Million (2023-2028)
  • Table 78. South America Leasing Automation Software, by Country USD Million (2023-2028)
  • Table 79. South America Leasing Automation Software, by Type USD Million (2023-2028)
  • Table 80. South America Leasing Automation Software, by Application USD Million (2023-2028)
  • Table 81. Brazil Leasing Automation Software, by Type USD Million (2023-2028)
  • Table 82. Brazil Leasing Automation Software, by Application USD Million (2023-2028)
  • Table 83. Argentina Leasing Automation Software, by Type USD Million (2023-2028)
  • Table 84. Argentina Leasing Automation Software, by Application USD Million (2023-2028)
  • Table 85. Rest of South America Leasing Automation Software, by Type USD Million (2023-2028)
  • Table 86. Rest of South America Leasing Automation Software, by Application USD Million (2023-2028)
  • Table 87. Asia Pacific Leasing Automation Software, by Country USD Million (2023-2028)
  • Table 88. Asia Pacific Leasing Automation Software, by Type USD Million (2023-2028)
  • Table 89. Asia Pacific Leasing Automation Software, by Application USD Million (2023-2028)
  • Table 90. China Leasing Automation Software, by Type USD Million (2023-2028)
  • Table 91. China Leasing Automation Software, by Application USD Million (2023-2028)
  • Table 92. Japan Leasing Automation Software, by Type USD Million (2023-2028)
  • Table 93. Japan Leasing Automation Software, by Application USD Million (2023-2028)
  • Table 94. India Leasing Automation Software, by Type USD Million (2023-2028)
  • Table 95. India Leasing Automation Software, by Application USD Million (2023-2028)
  • Table 96. South Korea Leasing Automation Software, by Type USD Million (2023-2028)
  • Table 97. South Korea Leasing Automation Software, by Application USD Million (2023-2028)
  • Table 98. Taiwan Leasing Automation Software, by Type USD Million (2023-2028)
  • Table 99. Taiwan Leasing Automation Software, by Application USD Million (2023-2028)
  • Table 100. Australia Leasing Automation Software, by Type USD Million (2023-2028)
  • Table 101. Australia Leasing Automation Software, by Application USD Million (2023-2028)
  • Table 102. Rest of Asia-Pacific Leasing Automation Software, by Type USD Million (2023-2028)
  • Table 103. Rest of Asia-Pacific Leasing Automation Software, by Application USD Million (2023-2028)
  • Table 104. Europe Leasing Automation Software, by Country USD Million (2023-2028)
  • Table 105. Europe Leasing Automation Software, by Type USD Million (2023-2028)
  • Table 106. Europe Leasing Automation Software, by Application USD Million (2023-2028)
  • Table 107. Germany Leasing Automation Software, by Type USD Million (2023-2028)
  • Table 108. Germany Leasing Automation Software, by Application USD Million (2023-2028)
  • Table 109. France Leasing Automation Software, by Type USD Million (2023-2028)
  • Table 110. France Leasing Automation Software, by Application USD Million (2023-2028)
  • Table 111. Italy Leasing Automation Software, by Type USD Million (2023-2028)
  • Table 112. Italy Leasing Automation Software, by Application USD Million (2023-2028)
  • Table 113. United Kingdom Leasing Automation Software, by Type USD Million (2023-2028)
  • Table 114. United Kingdom Leasing Automation Software, by Application USD Million (2023-2028)
  • Table 115. Netherlands Leasing Automation Software, by Type USD Million (2023-2028)
  • Table 116. Netherlands Leasing Automation Software, by Application USD Million (2023-2028)
  • Table 117. Rest of Europe Leasing Automation Software, by Type USD Million (2023-2028)
  • Table 118. Rest of Europe Leasing Automation Software, by Application USD Million (2023-2028)
  • Table 119. MEA Leasing Automation Software, by Country USD Million (2023-2028)
  • Table 120. MEA Leasing Automation Software, by Type USD Million (2023-2028)
  • Table 121. MEA Leasing Automation Software, by Application USD Million (2023-2028)
  • Table 122. Middle East Leasing Automation Software, by Type USD Million (2023-2028)
  • Table 123. Middle East Leasing Automation Software, by Application USD Million (2023-2028)
  • Table 124. Africa Leasing Automation Software, by Type USD Million (2023-2028)
  • Table 125. Africa Leasing Automation Software, by Application USD Million (2023-2028)
  • Table 126. North America Leasing Automation Software, by Country USD Million (2023-2028)
  • Table 127. North America Leasing Automation Software, by Type USD Million (2023-2028)
  • Table 128. North America Leasing Automation Software, by Application USD Million (2023-2028)
  • Table 129. United States Leasing Automation Software, by Type USD Million (2023-2028)
  • Table 130. United States Leasing Automation Software, by Application USD Million (2023-2028)
  • Table 131. Canada Leasing Automation Software, by Type USD Million (2023-2028)
  • Table 132. Canada Leasing Automation Software, by Application USD Million (2023-2028)
  • Table 133. Mexico Leasing Automation Software, by Type USD Million (2023-2028)
  • Table 134. Mexico Leasing Automation Software, by Application USD Million (2023-2028)
  • Table 135. Leasing Automation Software: by Type(USD/Units)
  • Table 136. Research Programs/Design for This Report
  • Table 137. Key Data Information from Secondary Sources
  • Table 138. 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 Leasing Automation Software: by Type USD Million (2017-2022)
  • Figure 5. Global Leasing Automation Software: by Application USD Million (2017-2022)
  • Figure 6. South America Leasing Automation Software Share (%), by Country
  • Figure 7. Asia Pacific Leasing Automation Software Share (%), by Country
  • Figure 8. Europe Leasing Automation Software Share (%), by Country
  • Figure 9. MEA Leasing Automation Software Share (%), by Country
  • Figure 10. North America Leasing Automation Software Share (%), by Country
  • Figure 11. Global Leasing Automation Software: by Type USD/Units (2017-2022)
  • Figure 12. Global Leasing Automation Software share by Players 2022 (%)
  • Figure 13. Global Leasing Automation Software share by Players (Top 3) 2022(%)
  • Figure 14. BCG Matrix for key Companies
  • Figure 15. Re-Leased (United Kingdom) Revenue, Net Income and Gross profit
  • Figure 16. Re-Leased (United Kingdom) Revenue: by Geography 2022
  • Figure 17. Lisa (Switzerland) Revenue, Net Income and Gross profit
  • Figure 18. Lisa (Switzerland) Revenue: by Geography 2022
  • Figure 19. LeasePilot (United States) Revenue, Net Income and Gross profit
  • Figure 20. LeasePilot (United States) Revenue: by Geography 2022
  • Figure 21. Soft4Leasing (Lithuania) Revenue, Net Income and Gross profit
  • Figure 22. Soft4Leasing (Lithuania) Revenue: by Geography 2022
  • Figure 23. DealSumm (United States) Revenue, Net Income and Gross profit
  • Figure 24. DealSumm (United States) Revenue: by Geography 2022
  • Figure 25. IntellaLease (United States) Revenue, Net Income and Gross profit
  • Figure 26. IntellaLease (United States) Revenue: by Geography 2022
  • Figure 27. LeasePilot (United States) Revenue, Net Income and Gross profit
  • Figure 28. LeasePilot (United States) Revenue: by Geography 2022
  • Figure 29. Global Leasing Automation Software: by Type USD Million (2023-2028)
  • Figure 30. Global Leasing Automation Software: by Application USD Million (2023-2028)
  • Figure 31. South America Leasing Automation Software Share (%), by Country
  • Figure 32. Asia Pacific Leasing Automation Software Share (%), by Country
  • Figure 33. Europe Leasing Automation Software Share (%), by Country
  • Figure 34. MEA Leasing Automation Software Share (%), by Country
  • Figure 35. North America Leasing Automation Software Share (%), by Country
  • Figure 36. Global Leasing Automation Software: by Type USD/Units (2023-2028)
List of companies from research coverage that are profiled in the study
  • Re-Leased (United Kingdom)
  • Lisa (Switzerland)
  • LeasePilot (United States)
  • Soft4Leasing (Lithuania)
  • DealSumm (United States)
  • IntellaLease (United States)
  • LeasePilot (United States)
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May 2023 230 Pages 88 Tables Base Year: 2022 Coverage: 15+ Companies; 18 Countries

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