Executive Summary: Spain’s food delivery app landscape in 2026 is defined by fierce competition, rapid innovation, and evolving consumer preferences. Incumbents such as Glovo: Food Delivery, Takeaway, Uber Eats: Food & Groceries, and Just Eat - Food Delivery continue to anchor the market, but their dominance is challenged by high-velocity disruptors (notably Too Good To Go), direct-to-consumer QSR channels, and a proliferation of adjacent and emerging players. Drawing on Sensor42’s review velocity, cumulative market reviews, and stock-vs-flow momentum analysis, this guide provides a comprehensive, actionable, and data-rich overview of the Spanish food delivery ecosystem. Practical implications for ASO, product, and user acquisition teams are highlighted throughout, alongside competitor framing and best-practice caveats for interpreting noisy App Store data.
Methodology, Data Sources & Caveats
This pillar analysis uses Sensor42’s iOS app review data for Spain, focusing on two principal axes:
- Cumulative Market Reviews: The total number of Spanish iOS reviews for each app, serving as a proxy for long-term installs, brand trust, and user engagement.
- Recent Review Speed (per day): The 30-day rolling average of reviews/day, a sensitive indicator of current user sentiment, growth, and campaign effectiveness.
- First-Last Review Speed (per day): The average reviews/day since the app’s first Spanish review, reflecting long-term user momentum.
Apps are included if they exhibit significant review velocity in food delivery or adjacent categories (e.g., QSR, groceries, pet food, meal planning, restaurant booking). This broad inclusion reflects the increasingly blurred lines of digital food commerce, but requires careful interpretation:
- Review velocity is noisy: Small base apps and those running incentivized campaigns may show transient spikes.
- Category-adjacent apps: Recipe, grocery, and loyalty apps can distort competitive analysis if not filtered by context.
- Review incentives/platform bugs: Artificial or sudden review surges may not reflect real user adoption.
Best practice: Use both stock (total reviews) and flow (recent speed) to benchmark true competitive position. Interpret outlier review speeds with caution, especially for apps under 10,000 market reviews or those showing negative velocity.
Spain Food Delivery Market Structure (2026): Overview & Segmentation
The Spanish food delivery app market is both mature and dynamic, with established leaders, fast-moving disruptors, and a dense middle tier of specialized and adjacent apps. The table below summarizes the current structure based on review totals and velocity:
| Tier | Apps | Market Reviews | Recent Speed/Day | Notes |
|---|---|---|---|---|
| Incumbents | Glovo, Uber Eats, Just Eat | 88,392–702,476 | 38.9–129.7 | High install base, slowing recent growth; defensive posture. |
| Fast Movers / Breakouts | Too Good To Go, Burger King España, McDonald’s | 31,854–172,681 | 23.6–76.7 | Gaining share via value, sustainability, or direct QSR loyalty. |
| Mid/Adjacent | zooplus, Cookidoo Bimby, TheFork | 43,584–255,535 | 14.2–35.7 | Non-delivery, but high review velocity; adjacent commerce. |
| Emerging/Specialized | CookNest, POPEYES® España, Domino’s Pizza España | 2,160–17,058 | 8.8–11.6 | Small base, but fast velocity; viral or regional traction. |
| Retreat/Noise | Deliveroo, getir, Pizza Ready! | 9,739–123,742 | -0.05–5.4 | Engagement collapse, negative velocity, or App Store noise. |
Stock vs. Flow: Strategic Review Metrics Explained
Understanding the Spanish market requires a dual lens:
- Stock (Cumulative Reviews): Indicates historic user base, brand equity, and long-term trust. It is slow-moving and resistant to short-term campaign effects.
- Flow (Recent Review Speed): Captures current engagement, acquisition, and campaign effectiveness. It is highly sensitive to changes in marketing, store featuring, or external events.
Apps with high stock and high flow (e.g., Glovo) are market leaders. High stock/low flow (e.g., Deliveroo) signal mature players losing momentum. Low stock/high flow (e.g., CookNest, POPEYES® España) often represent viral, regional, or marketing-driven surges, but may be unsustainable. Negative flow (e.g., getir) is a red flag for contraction or market exit.
Top Spanish Food Delivery Apps: Detailed Comparison (2026)
| App | Icon | Developer | Market Reviews | Recent Speed/Day | First-Last Speed/Day | Category | 2026 Market Position |
|---|---|---|---|---|---|---|---|
| Glovo |  |
Glovoapp 23 SL | 702,476 | 129.7 | 224.2 | Multi-category Delivery | Undisputed leader; recent speed down but still dominant |
| Too Good To Go |  |
Too Good To Go | 172,681 | 76.7 | 67.9 | Food Waste/Sustainability | Breakout disruptor; review speed now rivals incumbents |
| Uber Eats |  |
Uber Technologies, Inc. | 307,480 | 73.0 | 128.6 | Multi-category Delivery | Still a global power, but losing velocity to disruptors |
| Burger King España |  |
Burger King Corporation | 154,955 | 46.1 | 67.0 | QSR Direct | Brand-driven direct channel; high engagement |
| Just Eat |  |
Just-Eat.com | 88,392 | 38.9 | 44.6 | Multi-category Delivery | High-volume incumbent; slowing momentum |
| McDonald’s |  |
McDonald's Global Markets LLC | 31,854 | 23.6 | 21.2 | QSR Direct | Direct-to-consumer channel; improving momentum |
| TheFork |  |
La Fourchette | 255,535 | 35.7 | 34.2 | Restaurant Booking | Strong overlap with delivery user journeys |
| Cookidoo Bimby |  |
Vorwerk International & Co. KmG | 179,003 | 27.4 | 44.2 | Recipe/Meal Planning | Category-adjacent; can distort rankings |
| zooplus |  |
Zooplus SE | 43,584 | 14.2 | 14.6 | Pet Food Delivery | Adjacent commerce; high review speed |
| Domino’s Pizza España |  |
Domino's Pizza España | 17,058 | 11.6 | 9.8 | QSR Direct | Direct channel; review speed increasing |
| CookNest |  |
Carles Encinas Turro | 2,160 | 10.4 | 8.0 | Recipe Book | Emerging; viral or influencer-driven |
| POPEYES® España |  |
Popeyes Louisiana Kitchen, Inc. | 6,907 | 8.8 | 8.8 | QSR Direct | Regional traction, aggressive marketing |
| Deliveroo |  |
Deliveroo | 123,742 | 1.1 | 1.6 | Multi-category Delivery | Former major; engagement collapse |
| getir |  |
Getir | 38,928 | -0.05 | -0.12 | Quick Commerce | Negative velocity; possible retreat or exit |
| Pizza Ready! |  |
Supercent, Inc. | 9,739 | 5.4 | 5.4 | Game/Noise | App Store noise; not a delivery competitor |
Competitor Framing: Incumbents vs. Fast Movers vs. Adjacent
The competitive landscape is best understood through three primary frames:
- Incumbents: Glovo, Uber Eats, and Just Eat hold the largest user bases but are experiencing a deceleration in recent review speed. Their challenge is to innovate on retention, loyalty, and UX to prevent share erosion.
- Fast Movers/Breakouts: Too Good To Go’s sustainability angle and Burger King/McDonald’s’ direct channels are resonating, with review velocity suggesting they are outpacing some incumbents in new user engagement. These apps are agile, campaign-driven, and benefit from strong local or brand identity.
- Mid-Tier/Adjacent: High review velocity in apps like Cookidoo Bimby (recipes) and zooplus (pet food) highlight the expansion of digital food commerce—but also introduce "noise" in competitive tracking.
Noisy-Row Handling: Filtering Out App Store Review Distortions
ASO, UA, and product teams must be vigilant of noisy data:
- Games and Non-Delivery Apps: Apps such as Pizza Ready! and Cookidoo Bimby can temporarily appear in food delivery rankings by virtue of review spikes, but are not true competitors.
- Incentivized Review Campaigns: Sudden, unsustainable jumps in review speed often reflect paid campaigns rather than organic growth.
- Platform Algorithm Changes: App Store adjustments may temporarily boost or suppress review visibility, distorting competitive signals.
Recommendation: Filter by minimum review base (e.g., 10,000+), check for negative velocity, and cross-reference with install/usage analytics for robust benchmarking.
Stock-vs-Flow Analysis: Strategic Implications for Growth
Stock (total reviews) and flow (recent speed) together reveal an app’s true position and trajectory:
- High Stock, High Flow: Glovo—market leader, but must defend against fast-moving challengers.
- High Stock, Low Flow: Deliveroo—large install base, but engagement collapse; risk of churn and irrelevance.
- Low Stock, High Flow: CookNest, POPEYES® España—potential breakout, but risk of short-lived spike unless sustained by real retention.
- Negative Flow: getir—possible market exit; monitor for further contraction or pivots.
For product and UA teams, high recent velocity is a sign to double-down on acquisition, while decelerating apps should focus on re-engagement and retention.
Regional and Category Dynamics: Spain 2026
Spain’s food delivery market is shaped by unique local factors:
- Urban Density: Major cities (Madrid, Barcelona, Valencia) drive the majority of delivery volume and review activity.
- QSR Direct Channels: Spanish consumers increasingly use direct apps for Burger King, McDonald’s, Domino’s, and POPEYES®, bypassing aggregators.
- Sustainability & Value: Too Good To Go’s appeal reflects consumer price sensitivity and environmental consciousness, especially in 2026’s macro climate.
- Category Blurring: High engagement in adjacent apps (e.g., zooplus, Cookidoo) signals that food delivery is just one part of a broader digital food and commerce ecosystem.
Practical Implications for ASO, Product, and UA Teams
- ASO: Optimize metadata for both delivery and adjacent food commerce keywords; monitor for noisy competitors and filter by relevant category and review base.
- Product: Invest in loyalty, retention, and UX improvements if review speed is decelerating; leverage high velocity to test new features or partnerships.
- UA: Use review velocity as a leading indicator for campaign impact; align spend with periods of high organic engagement for maximum efficiency.
- Competitive Intelligence: Track both review totals and recent flows for your cohort; benchmark against direct and adjacent competitors to anticipate threats and opportunities.
Detailed Market Table: Spain Food Delivery App Review Metrics (2026)
| App | Developer | Market Reviews | Recent Speed/Day | First-Last Speed/Day | Category | 2026 Trend |
|---|---|---|---|---|---|---|
| Glovo | Glovoapp 23 SL | 702,476 | 129.7 | 224.2 | Aggregator | Leader; flow declining but still high |
| Too Good To Go | Too Good To Go | 172,681 | 76.7 | 67.9 | Sustainability | Breakout; flow now > Uber Eats |
| Uber Eats | Uber Technologies, Inc. | 307,480 | 73.0 | 128.6 | Aggregator | Decelerating |
| Burger King España | Burger King Corporation | 154,955 | 46.1 | 67.0 | QSR Direct | High, steady flow |
| Just Eat | Just-Eat.com | 88,392 | 38.9 | 44.6 | Aggregator | Moderate, slowing |
| McDonald’s | McDonald's Global Markets LLC | 31,854 | 23.6 | 21.2 | QSR Direct | Improving flow |
| TheFork | La Fourchette | 255,535 | 35.7 | 34.2 | Booking | Strong overlap |
| Cookidoo Bimby | Vorwerk International & Co. KmG | 179,003 | 27.4 | 44.2 | Recipe | Not direct competitor |
| zooplus | Zooplus SE | 43,584 | 14.2 | 14.6 | Pet Food | Adjacent commerce |
| Domino’s Pizza España | Domino's Pizza España | 17,058 | 11.6 | 9.8 | QSR Direct | Direct, rising |
| CookNest | Carles Encinas Turro | 2,160 | 10.4 | 8.0 | Recipe | Emerging, viral |
| POPEYES® España | Popeyes Louisiana Kitchen, Inc. | 6,907 | 8.8 | 8.8 | QSR Direct | Regional, fast |
| Deliveroo | Deliveroo | 123,742 | 1.1 | 1.6 | Aggregator | Collapse |
| getir | Getir | 38,928 | -0.05 | -0.12 | Quick Commerce | Negative, retreat |
| Pizza Ready! | Supercent, Inc. | 9,739 | 5.4 | 5.4 | Game | Noise, not a competitor |
Spain 2026: What’s Next? Trends and Future Scenarios
- Aggregator vs. Direct: The line between platform and restaurant is blurring. QSRs are investing in direct apps, while aggregators expand into groceries, pet food, and more.
- Sustainability as Differentiator: Too Good To Go’s momentum suggests that value and eco-consciousness will become even more central to acquisition and retention.
- Regionalization: Emerging players may succeed by focusing on underserved cities or niches, using influencer and social campaigns to drive review velocity.
- Noise Filtering: As App Store categories blur, teams must invest in review and install analytics that can distinguish true competitors from noisy or adjacent apps.
- Cross-Category Expansion: Expect further convergence between food delivery, groceries, restaurant booking, and meal planning—driven by super-app ambitions and consumer demand for convenience.
Best Practices for Teams: Playbook for 2026
- Monitor both review stock and flow for your app and competitors weekly.
- Benchmark against direct and adjacent competitors, not just category leaders.
- Filter out apps with <10,000 reviews or negative velocity unless emerging as viral breakouts.
- Align UA spend with periods of high organic review velocity for maximum paid/organic synergy.
- Invest in retention and loyalty features if recent review speed is flattening or declining.
- Use review speed spikes as early warning for competitor campaigns or App Store featuring.
- Leverage local partnerships to drive regional review surges and defend against national incumbents.
Appendix: Full Data Table – Spain Food Delivery & Adjacent Apps (2026)
| App | Developer | Market Reviews | Recent Speed/Day | First-Last Speed/Day | Category | Notes |
|---|---|---|---|---|---|---|
| Glovo | Glovoapp 23 SL | 702,476 | 129.7 | 224.2 | Aggregator | Leader |
| Too Good To Go | Too Good To Go | 172,681 | 76.7 | 67.9 | Sustainability | Disruptor |
| Uber Eats | Uber Technologies, Inc. | 307,480 | 73.0 | 128.6 | Aggregator | Global, slowing |
| Burger King España | Burger King Corporation | 154,955 | 46.1 | 67.0 | QSR | Strong D2C |
| Just Eat | Just-Eat.com | 88,392 | 38.9 | 44.6 | Aggregator | Incumbent |
| McDonald’s | McDonald's Global Markets LLC | 31,854 | 23.6 | 21.2 | QSR | Growth D2C |
| TheFork | La Fourchette | 255,535 | 35.7 | 34.2 | Booking | Adj., strong overlap |
| Cookidoo Bimby | Vorwerk International & Co. KmG | 179,003 | 27.4 | 44.2 | Recipe | Noise/adjacent |
| zooplus | Zooplus SE | 43,584 | 14.2 | 14.6 | Pet Food | Adj., high engagement |
| Domino’s Pizza España | Domino's Pizza España | 17,058 | 11.6 | 9.8 | QSR | Direct, healthy |
| CookNest | Carles Encinas Turro | 2,160 | 10.4 | 8.0 | Recipe | Emerging, viral |
| POPEYES® España | Popeyes Louisiana Kitchen, Inc. | 6,907 | 8.8 | 8.8 | QSR | Regional, fast |
| Deliveroo | Deliveroo | 123,742 | 1.1 | 1.6 | Aggregator | Decline |
| getir | Getir | 38,928 | -0.05 | -0.12 | Quick Commerce | Retreat |
| Pizza Ready! | Supercent, Inc. | 9,739 | 5.4 | 5.4 | Game | Noise only |
Further Market Structure Analysis: Local Market Layers and Verticalization
Beyond national trends, Spain's food delivery ecosystem in 2026 reveals deepening verticalization and increased regional fragmentation. Market leaders are forced to respond to:
- Regional Champions: Apps and QSRs that dominate in specific autonomous communities, often benefiting from local partnerships or regional cuisine focus (e.g., Galicia, Basque Country, Catalonia).
- Vertical Integration: Incumbents and QSRs are investing in end-to-end logistics, kitchen operations (dark kitchens), and proprietary delivery fleets to reduce dependency on aggregators and control CX.
- Super-App Aspirations: Leading players (Glovo, Uber Eats) are experimenting with bundled services—groceries, pharmacy, pet food, and even event tickets—further blurring the boundaries of the "food delivery" category.
For ASO and product teams, these trends highlight the importance of localizing not just language, but also features, promotions, and partnerships to maintain relevance in a fragmented market landscape.
Stock-vs-Flow Deep Dive: Visualizing Momentum and Market Health
To further illustrate the strategic implications of stock (total reviews) and flow (recent speed), consider the following quadrant framework:
| High Flow | Low Flow | |
|---|---|---|
| High Stock | Glovo, Uber Eats Market leaders, must defend against breakouts; invest in retention, loyalty, and incremental innovation. |
Deliveroo At risk of irrelevance; consider re-engagement, rebranding, or exit. |
| Low Stock | Too Good To Go, CookNest Breakouts, viral or campaign-driven; must prove retention and monetize momentum. |
Pizza Ready! Non-competitive or transient noise; monitor but deprioritize in competitive tracking. |
Teams should regularly plot their own app and competitors within this framework to inform UA, retention, and competitive response strategies.
App Store Noise: Detecting and Managing Outliers
In a dense market with blurred category lines, review velocity can be affected by:
- Fake or Incentivized Reviews: Sudden, sharp spikes—especially for new or small-base apps—are often the result of incentivized review campaigns or even fraudulent activity. These should be flagged and monitored closely.
- Seasonal and Event-Driven Surges: Major sporting events, holidays, or local festivals can drive temporary increases in review velocity for both national and regional players.
- Store Algorithm Changes: App Store and Google Play algorithm tweaks may surface adjacent or unrelated apps in "food delivery" search results, distorting competitive signals.
- Cross-Category Promotions: Apps offering bundled deals (e.g., food + groceries + pharmacy) may see review velocity spikes in multiple categories, requiring nuanced tracking and filtering.
Operational Tip: Maintain a "noise log"—a running list of apps whose review velocity appears decoupled from actual installs or usage—to inform weekly competitive intelligence and reporting.
Competitor Framing: Strategic SWOT Snapshots
| App | Strengths | Weaknesses | Opportunities | Threats |
|---|---|---|---|---|
| Glovo | Brand leader, broadest coverage, multi-vertical | High churn risk, slowing flow, cost pressures | Super-app expansion, loyalty, local partnerships | Disruptors, direct QSR, price wars |
| Too Good To Go | Sustainability, viral appeal, fast flow | Smaller install base, retention risk | Broader partnerships, regional expansion | Incumbent counter-moves, market saturation |
| Burger King España | Brand loyalty, direct channel, high engagement | Limited to own menu, aggregator dependency in some regions | Exclusive promos, gamification, delivery tech | Aggregator retaliation, new QSR entrants |
| Uber Eats | Global scale, strong logistics, tech platform | Perceived as "foreign," price competition, flow decline | Local partnerships, cross-category integration | National champions, regulatory risk |
| Just Eat | Long-standing presence, large network | Brand fatigue, lack of innovation, slowing growth | UX overhaul, loyalty, regional focus | Direct QSR, super-apps, price erosion |
| getir | Quick commerce, tech-driven | Negative flow, market contraction | Pivot to B2B, niche grocery delivery | Aggregator dominance, financial viability |
ASO & UA Best-Practice: Advanced Tactics for 2026
- Localized Keyword Targeting: Go beyond "comida a domicilio"—target regional dishes, local festivals, and trending cuisines in both metadata and creative.
- Review Velocity Monitoring: Set up automated alerts for review speed spikes and dips; use as a proxy for campaign ROI and competitive launches.
- Competitor Creative Analysis: Track not just copy, but also creative trends in iconography, screenshots, and video previews across top competitors.
- Store Feature Tracking: Build a log of when competitors are featured in "Today" or "Essentials" sections, correlating with review velocity and installs.
- Noise-Row Flagging: Routinely flag and annotate apps that enter your tracked keyword space due to non-organic or non-relevant review spikes.
- Retention Cohort Analysis: Use app review content and frequency as an early indicator of product issues or feature launches requiring intervention.
Product & Growth: Strategic Levers for 2026
- Loyalty & Gamification: Direct QSRs are gaining via points, exclusive rewards, and in-app games—incumbents and aggregators must respond with similar or superior engagement mechanics.
- Hyperlocal Personalization: Offer regionalized menus, local promotions, and dynamic pricing to reflect Spain’s diverse culinary landscape.
- Sustainability Messaging: Capitalize on the rising importance of eco-consciousness, not just as a feature but as a core brand pillar (e.g., Too Good To Go’s review surge).
- End-to-End Verticalization: Explore dark kitchens, last-mile fleet control, and in-app payment innovations to boost margins and user experience.
- Partnership & Integration: Seek out local influencers, festivals, and city-specific events to drive review velocity and defend against regional upstarts.
Case Studies: Strategic Moves in 2026
1. Glovo’s Super-App Play: By integrating groceries, pharmacy, pet food, and event tickets, Glovo has extended average order value and session duration. However, this has also introduced operational complexity and diluted focus, as seen in a gradual decline in review speed. ASO teams should monitor whether such breadth continues to drive engagement or if it invites category confusion and churn.
2. Too Good To Go’s Viral Growth: Leveraging sustainability and anti-food waste messaging, Too Good To Go has achieved review velocity that rivals the big three. The challenge for product teams is to convert viral acquisition into retention, as review spikes may not translate into long-term DAU/MAU growth.
3. QSR Direct Channels: Both Burger King España and McDonald’s have doubled down on direct-to-consumer apps, offering exclusive deals and gamified loyalty programs. Their success underscores the importance of brand equity and the potential for QSRs to bypass aggregators, especially among younger demographics.
Future Market Risks & Opportunities
- Regulatory Shifts: Spain’s evolving labor and gig economy laws could reshape delivery economics, impacting aggregator profitability and QSR direct expansion.
- Economic Headwinds: Consumer price sensitivity may drive further traction for value-focused apps (e.g., Too Good To Go) and regional upstarts.
- Cross-Border Competition: As French and Italian players eye the Spanish market, incumbents must be vigilant of pan-European expansion plays.
- Tech Innovation: AI-driven personalization, last-mile robotics, and voice ordering are poised to further disrupt the user journey and competitive field.
Expanded Data Table: Spain Food Delivery & Adjacent Apps (2026)
| App | Developer | Market Reviews | Recent Speed/Day | First-Last Speed/Day | Category | Notes |
|---|---|---|---|---|---|---|
| Glovo | Glovoapp 23 SL | 702,476 | 129.7 | 224.2 | Aggregator | Leader; multi-vertical |
| Uber Eats | Uber Technologies, Inc. | 307,480 | 73.0 | 128.6 | Aggregator | Global scale, slowing |
| Just Eat | Just-Eat.com | 88,392 | 38.9 | 44.6 | Aggregator | Incumbent, moderate flow |
| Too Good To Go | Too Good To Go | 172,681 | 76.7 | 67.9 | Sustainability | Breakout, viral |
| Burger King España | Burger King Corporation | 154,955 | 46.1 | 67.0 | QSR | Direct, high loyalty |
| McDonald’s | McDonald's Global Markets LLC | 31,854 | 23.6 | 21.2 | QSR | Direct, growth |
| Domino’s Pizza España | Domino's Pizza España | 17,058 | 11.6 | 9.8 | QSR | Direct, regional |
| POPEYES® España | Popeyes Louisiana Kitchen, Inc. | 6,907 | 8.8 | 8.8 | QSR | Regional, fast |
| Cookidoo Bimby | Vorwerk International & Co. KmG | 179,003 | 27.4 | 44.2 | Recipe/Meal Planning | Adjacent, noise |
| CookNest | Carles Encinas Turro | 2,160 | 10.4 | 8.0 | Recipe | Emerging, viral |
| zooplus | Zooplus SE | 43,584 | 14.2 | 14.6 | Pet Food | Adjacent, high engagement |
| getir | Getir | 38,928 | -0.05 | -0.12 | Quick Commerce | Negative, retreat |
| Deliveroo | Deliveroo | 123,742 | 1.1 | 1.6 | Aggregator | Collapse |
| Pizza Ready! | Supercent, Inc. | 9,739 | 5.4 | 5.4 | Game | Noise only |
Conclusion: Spain’s Food Delivery Market in 2026
Spain’s food delivery app ecosystem is consolidating, but remains highly competitive and susceptible to disruption. The dominant aggregators—Glovo, Uber Eats, Just Eat—face pressure from high-velocity breakouts (Too Good To Go), direct QSR channels (Burger King, McDonald’s, Domino’s, POPEYES®), and category-adjacent players (groceries, pet food, recipe apps). Review velocity is a sensitive, actionable metric for engagement and campaign impact, but requires careful filtering for noise and context. Product, ASO, and UA teams must blend stock and flow analysis, monitor for regional and campaign-driven surges, and remain agile to defend or grow share in a market where consumer loyalty is increasingly fluid, and category boundaries are blurring.