[205+ Pages Report] We at Facts & Factors have recently published a report titled “Lease Management Software Market” that encompasses the spectacle of the market in an analytical and comprehensive manner. We at Facts & Factors estimate that the global lease management software market will be valued at USD 6.2 Billion in the year 2026 from an initial value of USD 4.9 Billion in the year 2020 with growth at a CAGR value of 6% during the forecast period 2021-2026.
Lease management software is a complementary tool that helps in discovering and eliminating the initial and arriving complexities that are often associated with issues revolving around real estate leases. This software helps in keeping a close eagle eye on every kind of leasing agreement by keeping a diverse portfolio which can often turn into a daunting task. Lease management software often helps firms in ensuring that they are in close compliance with the intended regulations set by the government bodies. Furthermore, this leasing software carries the capacity of regulating their current and future leasing agreement in order to help incoming clients get a good grasp of the latter’s portfolio.
The primary driving factors for the significant growth of the global lease management software market are the rising demand for the SaaS model coupled with effective management of leases to name a few. Additionally, increasing demand for smart building projects coupled with the integration of IoT and AI-based technologies will open a new revenue stream for the global lease management software market during the forecast period. These advanced technologies are excepted to provide real-time analytics to the users which will further increase the consumer base for the global lease management software market during the forecast period. The market is expected to be driven by rising in cloud technology which will fuel the global lease management software market during the forecast duration.
Additionally, integration of pay per use and the ability to cancel services will further fuel the growth of the global lease management software market during the forecast duration. Moreover, sufficient energy utilization, east process installation, and lease administration management will further increase the footprint of the global lease management software market during the forecast period. The advent of the COVID-19 pandemic will result in added integration of lease management software services due to restricted mobility services which will further open the consumer base for the global lease management software market during the forecast period. However, a lack of technical knowledge is expected to restrain the growth of the global lease software management market during the forecast period to some extent.
The global lease management software market can be segmented into platform, deployment mode, application, organization size, and regions.
On the basis of platform, the global lease management software market is divided into software and service. The segment pertaining to software is expected to witness the largest market share during the forecast owing to the rising demand for lease management platforms coupled with increasing demand for effectively managing leases and further providing support to consumers directly. On the basis of the deployment model, the global lease management software market is categorized into on-premise and cloud on the basis of the deployment models. The segment pertaining to the cloud is expected to register the fastest growing market share during the advent of the forecast owing to shifting consumer preference from traditional on-premise solutions towards web-based services coupled with flexibility and cost-efficiency measures to name a few. On the basis of applications, the global lease management software market is segregated into commercial, residential, and industrial. The commercial segment is expected to witness the largest market share during the advent of the forecast owing to the higher demand for commercial properties for leasing agreements owing to rising demand for hospitality, logistics, education, manufacturing, and retail coupled with increasing urbanization and industrialization measures to name a few. On the basis of organization size, the global lease management software market can be fragmented into large and SMEs. The segment pertaining to the large organizations is expected to witness the largest market share during the advent of the forecast owing to increasing demand from large organizations for managing their portfolios effectively coupled with rising complexities to name a few.
|Market Size in 2020||USD 4.9 Billion|
|Projected Market Size in 2026||USD 6.2 Billion|
|CAGR Growth Rate||6% CAGR|
|Key Market Players||Accruent, IBM, Oracle, RealPage, SAP, Trimble, AppFolio, CoStar Group, RAAMP, Odessa, LeaseAccelerator, and Others.|
|Key Segments||Platform, Deployment Mode, Applications, Organization Size, and Region|
|Major Regions Covered||North America, Europe, Asia Pacific, Latin America, and Middle East & Africa|
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North America is expected to witness the largest market share during the advent of the forecast in terms of global revenue contribution. The factors that can be attributed to the dominant market position are early adoption of lease management software in the region coupled with the latter being the home to large telecom giants to name a few. Additionally, increasing the adoption of consumers for the lease management software market coupled with the continuous adaption of newer technology for improving business needs and productivity will increase the footprint of the lease management software market during the forecast period.
The key market participants for the global lease management software market are Accruent, IBM, Oracle, RealPage, SAP, Trimble, AppFolio, CoStar Group, RAAMP, Odessa, LeaseAccelerator, MRI Software, Yardi Systems, Inc., Nakisa, Inc., Deloitte Touche Tohmatsu Limited, LeasQuery LLC, Nakisa, Inc., Nomos Limited, PowerPlan, Inc., SMR Group, Tango, and Visual Lease LLC, among others.
Global Lease Management Software : Regional Segment Analysis
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