SabeeApp Research Hub

SabeeApp is a cloud-native Property Management System built for how hotels really work.

Loved for its intuitive design and ease of use, it brings every essential tool together in one platform — Channel Manager, Booking Engine, SabeePay payment gateway, Housekeeping App, Smart Solutions, and the GuestAdvisor guest app.

Made for independent hotels, hostels, and serviced apartments, SabeeApp helps teams manage operations from anywhere, automate daily tasks, and focus on genuine hospitality instead of admin.

Trusted by thousands of properties worldwide, it combines intuitive automation with real hospitality understanding.

SabeeApp’s all-in-one solution offers several key benefits for hospitality professionals:

• Reduced administrative workload: Automating daily tasks and centralising data can cut hotel admin work by up to 70%, allowing staff to spend more time on guests.

• Streamlined operations: All departments (front desk, housekeeping, reservations, etc.) are managed in one system. SabeeApp’s unified platform simplifies workflows and minimises manual errors, making day-to-day operations more efficient.

• Enhanced guest experience: Digital self-service tools like online check-in, ID scanning, and instant feedback make the guest journey smoother. This improves satisfaction and loyalty while ensuring compliance with local regulations.

• Competitive advantage in sales: With real-time data and flexible pricing tools, SabeeApp helps hotels capture more bookings – both planned and last-minute – so they can maximise occupancy and revenue in a fast-changing market.

The SabeeApp Research Hub is a dedicated resource center that shares original, data-driven insights on trends shaping the hospitality industry. It features research based on surveys and studies conducted among Hungarian hospitality professionals, helping hoteliers stay informed and make smarter decisions.

SabeeApp focuses its research on emerging trends, technologies, and behavioral shifts affecting the hospitality industry. The goal is to provide actionable insights for hotel and accommodation professionals.

Key research themes include:

• Travel behavior and booking patterns – such as seasonal demand shifts, early vs. last-minute bookings, and guest preferences.

• Technology adoption in hospitality – including AI usage, automation, and digital guest services.

• Operational challenges and solutions – highlighting pain points in daily hotel management and how software can address them.

• Market outlooks and industry benchmarks – offering data on occupancy trends, revenue opportunities, and regional comparisons.

These topics are chosen based on ongoing conversations with hoteliers, survey feedback, and SabeeApp’s commitment to supporting data-informed decisions across the hospitality sector.

In summer 2025, Hungary’s hospitality industry saw significant growth and shifts in traveller behavior. Key trends include:

• Higher occupancy and rural tourism growth: Hotel occupancy jumped by nearly 25% compared to the previous year, driven largely by rural destinations.

• City vs. countryside seasonality: Budapest is experiencing a strong early-summer season (June–July), while countryside destinations like the Lake Balaton region see peak bookings in late summer (August).

• More advance bookings: Travellers are planning trips earlier, pre-season hotel bookings for 2025 were roughly 25% higher than last year, indicating more guests securing rooms well in advance.

• Last-minute demand remains high: Despite earlier planning, about 72% of bookings still occur last-minute or shortly before arrival (especially in rural areas), so spontaneous travel remains a major factor.

Hungarian hotels in 2025 are beginning to embrace AI-driven tools to improve operations and decision-making. SabeeApp's recent research shows:

• Rising AI adoption: Over half of Hungarian hoteliers plan to implement AI within the next 12 months, although lack of in-house expertise is a common hurdle.

• Augmenting staff, not replacing: About 65% believe AI can support hotel staff by automating tasks and freeing up time to enhance the guest experience.

• Data-driven decisions: 47% of hoteliers trust AI-based data analysis more than traditional manual calculations, despite some concerns about maintaining personal guest interaction.

• Mainstream in near future: Nearly half expect AI in hospitality to become mainstream in Hungary within three years, pushing hotels to adopt AI solutions to stay competitive.