Market Size of Lawn Care Software Industry
| Study Period | 2019 - 2029 |
| Base Year For Estimation | 2023 |
| CAGR | 4.20 % |
| Fastest Growing Market | Asia-Pacific |
| Largest Market | North America |
| Market Concentration | Low |
Major Players
*Disclaimer: Major Players sorted in no particular order |
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Lawn Care Software Market Analysis
The Global lawn care software market is expected to register at a CAGR of 4.2% during the forecast period.
- Running a field service company requires a lot of effort. Businesses must keep track of different crews, maintain equipment, and satisfy customers. In such cases, Lawn care software assists businesses in running a better lawn care business by providing Invoicing and payments, Lawn care Scheduling and Dispatch, Customer support, a Lawn care App, and other features.
- Furthermore, lawn care software provides flexible programs that eliminate the difficulty of scheduling. Its robust yet user-friendly interface enables clients to make the most of limited resources by streamlining communication with workers and significantly reducing time spent scheduling activities.
- The key players in the market are focusing on strategic acquisitions to enhance their capabilities and stay competitive. For instance, Aspire acquired Crew Control in January last year, a scheduling software product for minor lawn care and landscaping businesses. Crew Control is a simple, user-friendly, and adaptable program that streamlines the scheduling process for these contractors.
- In addition, players are doing strategic partnerships with other service and solution providers, which bring added value to their clients. For instance, Aspire Software partnered with Azuga (Connected Vehicle Platform), Clever Connect (Payment platform), Envision consulting (Assist in Landscaping business owners), Fleet sharp (Developing and deploying GPS tracking solutions for fleets and businesses), and others.
- Moreover, PlanIT Geo announced a new agreement with EarthDefine of Redmond, Washington, in May the last year to provide subscription-based tree canopy and land cover data processed with artificial intelligence (AI) and machine learning. Introducing such innovative technologies offers enormous cost and time savings for canopy studies, which were previously a labor-intensive project-based approach.
