How this market analysis was built
This market analysis was built using Ahrefs data UK search demand as the primary data source, because search behaviour captures intent before a purchase happens. Rather than relying on sales rankings or retailer performance, we analysed how people describe products when they are actively researching and comparing toys. This provides a forward-looking view of demand, independent of stock levels, promotions, or retail placement.
What we included
We included product-led and generic toy searches because they are the clearest signal of real buying intent. Parents and gift buyers rarely start their journey with a specific retailer. They begin by searching for a product type, age group, or activity, which makes these queries the most reliable indicator of demand.
Implicit toy searches were included because many high-value toy categories are rarely searched with the word “toy” at all. Products such as trampolines, slides, or swing sets are unambiguously toys in a home context, yet excluding them would significantly understate true demand in outdoor and physical play categories.
| Included data | Why it was included |
|---|---|
| Product-led toy searches | These indicate real buying or comparison intent |
| Implicit toy searches (e.g. trampoline, slide) | Many toys are searched without the word “toy” but are unambiguously toys |
| Branded product searches | Brand plus product intent reflects genuine demand |
| Generic parent searches | Parents often search by activity rather than brand |
| UK-only search data | Keeps demand aligned to one market and its seasonality |
What we deliberately excluded
Retailers, marketplaces, and navigational brand searches were excluded because they indicate where people shop, not what they want to buy. Including them would inflate demand figures without adding insight into product-level interest or category health.
Informational queries, such as questions, rules, tutorials, or usage guides, were removed because they reflect consumption or curiosity rather than purchase intent. While useful for content strategy, they distort demand analysis when the goal is to understand what products people are actively looking to buy.
| Excluded data | Why it was excluded |
|---|---|
| Retailers and marketplaces | These show where people shop, not what they want |
| Gift cards and vouchers | Payment instruments are not toy demand |
| Trampoline parks and play centres | Experiences are not products |
| Location-based searches | Local intent distorts national demand |
| Question-based queries | Informational intent does not indicate purchase ie; What, How etc |
| Game rules and tutorials | Usage does not equal buying intent, for example Rules of Uno game |
| Release dates and rumours | Short-term hype inflates demand, especially in the gaming industry |
| Standalone brand names | Often navigational without product context, Toys R us, Amazon, Smyths |
How toy categories were defined
Each keyword was assigned to one category only to avoid double counting. Categories reflect buyer intent and mental models, not retail shelving logic.
| Category | Definition |
|---|---|
| Gaming consoles & electronic gaming | Dedicated gaming hardware and console accessories. Xbox, Ps4/5, controllers, games etc |
| LEGO & construction toys | LEGO and non-LEGO building and construction play, including generic and themed sets, not specifically related to LEGO |
| Board games & card games | Physical board and card games for families and children, including named games like Monopoly, connect 4 etc |
| Outdoor sports & games | Garden and outdoor play equipment used at home, including trampolines, swings, slides, Nerf, and garden sports. |
| Character & franchise toys | Licensed character toys and playsets tied to franchises like Peppa Pig or Paw Patrol |
| Baby & toddler toys | Toys for early developmental stages, excluding nursery items and furniture. |
| Fidget & sensory toys | Sensory and tactile toys designed for regulation, focus, or soothing. |
| Animal & dinosaur toys | Animal and prehistoric figurines and playsets, including licensed franchises. |
| Soft toys & plush | Plush and soft comfort toys, including branded plush. |
| Educational & STEAM toys | Learning-focused toys, including STEM/STEAM kits and educational play. |
| Wooden toys | Wood or wood-led toys, often for early learning and open-ended play. |
| Dolls & fashion dolls | Dolls and doll-based play, including branded doll lines and generic intent. |
| Electronic toys (non-console) | Interactive and educational electronic toys not tied to gaming consoles. |
| Ride-on toys | Ride-on vehicles and similar mobility toys for children. |
| Toy vehicles & tracks | Toy vehicles and compatible track systems and sets. |
| Role play & pretend play | Imaginative role-play toys such as kitchens, shops, dress-up, and tool sets. |
| Action figures & playsets | Action figures and associated playsets, vehicles, and accessories. |
| Puzzles & jigsaws | Jigsaws and other puzzle products. |
| Arts & crafts toys | Creative kits and craft-based play products. |
| Remote control toys | Remote-controlled vehicles and toys, including cars and similar products. |
What the data shows: key insights from the 2025 toy market
Gaming consoles & electronic gaming
Gaming consoles account for the largest share of total search demand. This reflects how deeply embedded gaming has become in childhood and teenage entertainment. Consoles are no longer occasional gifts. They are central entertainment platforms used daily by children and adults alike.
This dominance can distort market analysis. Console demand behaves more like consumer electronics than toys, with long upgrade cycles and strong adult crossover. Treating consoles as a separate market can give a clearer view of what is happening in physical toy categories.
The table below includes the top five most searched terms for this category, based on the dataset.
| Search term | Avg. monthly searches |
|---|---|
| PlayStation 5 | 368,000 |
| Nintendo Switch | 301,000 |
| Xbox Series X | 165,000 |
| Nintendo Switch OLED | 110,000 |
| PS5 controller | 74,000 |
LEGO & construction toys
LEGO remains one of the most resilient categories in the toy market. Demand spans age groups and persists beyond seasonal spikes. Construction play benefits from repeat use, expandability, and strong perceived value.
The strength of generic searches suggests parents often begin with the type of play, not a specific franchise. That reinforces LEGO’s position as a default option for longevity, not a trend-driven purchase.
The table below includes the top five most searched terms for this category, based on the dataset.
| Search term | Avg. monthly searches |
|---|---|
| lego sets | 90,500 |
| lego city sets | 49,500 |
| lego star wars sets | 40,500 |
| lego building sets | 33,100 |
| building blocks for kids | 27,100 |
Board games & card games
Board games perform strongly despite a world increasingly dominated by screens. This reflects a counterbalance in family behaviour, where shared, offline activities are actively sought out.
Demand is spread across classics and modern games, which makes this category stable and lower risk. It is also gift-friendly and cross-generational, supporting longer shelf life and repeat seasonal relevance.
The table below includes the top five most searched terms for this category, based on the dataset.
| Search term | Avg. monthly searches |
|---|---|
| chess set | 22,200 |
| monopoly board game | 18,100 |
| uno cards | 14,800 |
| scrabble junior | 12,100 |
| connect 4 game | 11,200 |
Outdoor sports & games
Outdoor toys show strong demand but clear seasonality. Peaks in spring and early summer suggest these products are planned purchases rather than impulse gifts.
This category rewards long-term stock planning and content that supports safety, sizing, and installation decisions. Christmas tends to play a smaller role than warmer months, which should shape marketing calendars and inventory allocation.
The table below includes the top five most searched terms for this category, based on the dataset.
| Search term | Avg. monthly searches |
|---|---|
| trampoline | 49,500 |
| swing set | 27,100 |
| nerf gun | 22,200 |
| kids slide | 18,100 |
| football goal | 14,800 |
Character & franchise toys
Licensed toys remain powerful drivers of demand, particularly for younger children. Buyers often default to familiar characters when purchasing for specific age groups or for gifts.
Demand is concentrated around a small number of franchises. That creates higher upside but also higher lifecycle risk, because popularity is tightly linked to media exposure and release cycles.
The table below includes the top five most searched terms for this category, based on the dataset.
| Search term | Avg. monthly searches |
|---|---|
| paw patrol toys | 27,100 |
| peppa pig toys | 22,200 |
| marvel action figures | 18,100 |
| spiderman toys | 14,800 |
| pokemon figures | 12,100 |
Baby & toddler toys
This category is fragmented across many medium-volume searches. Parents prioritise developmental value, safety, and age suitability over trends.
Trust signals and clear age guidance are critical here. Demand is more consistent year-round than many categories, which supports steady revenue rather than purely seasonal spikes.
The table below includes the top five most searched terms for this category, based on the dataset.
| Search term | Avg. monthly searches |
|---|---|
| baby toys | 33,100 |
| toddler toys | 27,100 |
| stacking toys | 14,800 |
| activity cube | 12,100 |
| shape sorter | 11,200 |
Fidget & sensory toys
Sensory toys continue to perform well because they align with broader conversations around regulation, focus, and wellbeing. Demand is driven by both parents and schools.
Individual formats rise and fall, but the underlying need appears stable. Products positioned around purpose tend to sustain demand longer than those framed purely as trends.
The table below includes the top five most searched terms for this category, based on the dataset.
| Search term | Avg. monthly searches |
|---|---|
| fidget toys | 40,500 |
| pop it toy | 33,100 |
| sensory toys for kids | 18,100 |
| stress toys | 14,800 |
| squishy toys | 12,100 |
Animal & dinosaur toys
Animal and dinosaur toys are evergreen categories. Demand remains consistent across the year and tends to be less affected by short-term trends.
This makes them strong foundational ranges for imaginative and educational play, with lower volatility and less reliance on specific media cycles.
The table below includes the top five most searched terms for this category, based on the dataset.
| Search term | Avg. monthly searches |
|---|---|
| dinosaur toys | 49,500 |
| jurassic world toys | 22,200 |
| animal figures | 18,100 |
| toy dinosaurs | 14,800 |
| farm animal toys | 12,100 |
Soft toys & plush
Soft toys and plush remain one of the most dependable parts of the physical toy market. They are often bought as comfort items, first gifts, and safe options when the buyer is not sure what a child already owns. That makes demand less sensitive to fads and more tied to life stages and gifting moments.
Plush is easy to merchandise across multiple occasions and often converts well at accessible price points. The main risk is range dilution, too many similar SKUs can make choice harder, so clear differentiation by size, character, and purpose matters.
The table below includes the top five most searched terms for this category, based on the dataset.
| Search term | Avg. monthly searches |
|---|---|
| jellycat toys | 3,400 |
| plush toys | 2,000 |
| jellycat toys stolen | 1,400 |
| soft toys | 1,400 |
| baby soft toys | 1,100 |
Educational & STEAM toys
Educational and STEAM toys attract buyers who want a clear reason to purchase. Parents and gift buyers often look for toys that build skills, such as problem-solving, early maths, literacy, or early coding concepts.
Buyers frequently search by outcomes rather than by brand, so merchandising and content should translate features into outcomes. Age guidance needs to be prominent, because a mismatch in difficulty is one of the fastest ways to lose trust and increase returns.
The table below includes the top five most searched terms for this category, based on the dataset.
| Search term | Avg. monthly searches |
|---|---|
| STEM toys | 9,900 |
| science kits for kids | 4,400 |
| educational toys | 3,600 |
| kids microscope | 2,900 |
| educational toys for 5 year olds | 2,400 |
Wooden toys
Wooden toys continue to draw demand because they signal quality, durability, and simplicity. Many buyers associate wooden play with open-ended development, especially for babies and toddlers, and the aesthetic makes wooden toys a popular gifting choice.
Wooden toys often support higher price points, but they require stronger trust cues. Clear photography, explicit age suitability, and easy-to-scan materials and safety information usually improve conversion in this segment.
The table below includes the top five most searched terms for this category, based on the dataset.
| Search term | Avg. monthly searches |
|---|---|
| wooden toys | 3,600 |
| wooden toy | 1,600 |
| wooden toys for 1 year old | 1,300 |
| wooden train set | 1,000 |
| wooden toys for 2 year old | 1,000 |
Dolls & fashion dolls
Dolls remain a core category with long-term appeal, driven by both iconic brands and generic searches that reflect open-ended play. Demand is often sustained by collectability, accessories, and the way doll play evolves as children add more pieces over time.
This category rewards clear range structure. Buyers often want a main doll and then compatible outfits, furniture, and playsets. Strong compatibility messaging, bundles, and cross-sells can lift average order value and reduce hesitation, especially during gifting periods.
The table below includes the top five most searched terms for this category, based on the dataset.
| Search term | Avg. monthly searches |
|---|---|
| barbie dolls | 74,000 |
| lol dolls | 40,500 |
| baby dolls | 27,100 |
| fashion dolls | 18,100 |
| doll playset | 14,800 |
Electronic toys (non-console)
These toys sit between traditional play and gaming. Educational positioning plays a major role in demand, particularly for younger age groups.
Products that clearly articulate learning outcomes and age relevance tend to perform better than generic interactive toys.
The table below includes the top five most searched terms for this category, based on the dataset.
| Search term | Avg. monthly searches |
|---|---|
| vtech toys | 33,100 |
| electronic learning toys | 22,200 |
| kids robot toy | 18,100 |
| interactive toy | 14,800 |
| talking toy | 12,100 |
Ride-on toys
Ride-on toys behave differently because buyers need to consider space, storage, and safety. Search behaviour is more deliberate and comparison-led, which often extends the time to purchase.
The best-performing pages reduce friction by surfacing dimensions, weight limits, safety notes, and reviews early. Because these items can be higher-ticket, returns policies and warranties also influence conversion.
The table below includes the top five most searched terms for this category, based on the dataset.
| Search term | Avg. monthly searches |
|---|---|
| ride on toys | 4,400 |
| ride on car | 2,400 |
| ride on toys for 1 year old | 1,900 |
| kids electric car | 1,900 |
| ride on | 1,300 |
Toy vehicles & tracks
Toy vehicles and track sets remain a staple because they combine collecting with imaginative play. Buyers enter via vehicle types and track systems, so demand spreads across generic and brand-led terms.
This is a strong basket-building category. Compatibility messaging, bundles, and “expand your set” merchandising can lift average order value and drive repeat purchases.
The table below includes the top five most searched terms for this category, based on the dataset.
| Search term | Avg. monthly searches |
|---|---|
| hot wheels track | 2,400 |
| hot wheels set | 1,900 |
| hot wheels tracks | 1,900 |
| hot wheels | 1,600 |
| toy cars | 1,600 |
Role play & pretend play
Role play searches show buyers looking for play patterns rather than single products. This is a positive sign for physical toys because it supports social, creative play that is repeatable.
Buyers often think in scenarios, such as kitchens, shops, dress-up, or tool sets. Scenario-led navigation and filters tend to convert better than broad, mixed listings.
The table below includes the top five most searched terms for this category, based on the dataset.
| Search term | Avg. monthly searches |
|---|---|
| kids kitchen | 12,100 |
| toy kitchen | 9,900 |
| play kitchen | 8,100 |
| toy tool set | 3,600 |
| play food | 3,600 |
Action figures & playsets
Action figures and playsets sit between franchise demand and evergreen collecting. The category can be boosted by media cycles, but it also benefits from broad action figure intent that does not disappear when one franchise cools.
Scale and compatibility questions drive a lot of browsing. Clear specs, “what’s included” lists, and cross-sells that make sets feel complete can reduce uncertainty and support higher basket size.
The table below includes the top five most searched terms for this category, based on the dataset.
| Search term | Avg. monthly searches |
|---|---|
| action figures | 4,400 |
| action figure | 3,600 |
| action figures for kids | 1,600 |
| playset | 1,600 |
| action figures toys | 1,300 |
Puzzles & jigsaws
Puzzles and jigsaws suit a wide range of ages and budgets, and they align with calmer, screen-free play. They are also easy to gift, store, and display, which supports consistent demand.
Buyers often choose by age, piece count, and theme. Clear labelling and strong filters reduce mismatch and speed up decision-making.
The table below includes the top five most searched terms for this category, based on the dataset.
| Search term | Avg. monthly searches |
|---|---|
| jigsaw puzzles | 12,100 |
| jigsaw puzzle | 9,900 |
| puzzles for kids | 4,400 |
| kids puzzles | 3,600 |
| jigsaws | 3,600 |
Arts & crafts toys
Arts and crafts purchases are often linked to the need for structured activities at home. Buyers want something that occupies time, produces a clear outcome, and feels worthwhile.
Conversion improves when expectations are explicit, what the child makes, time required, mess level, and supervision. Kits that set expectations clearly tend to perform better.
The table below includes the top five most searched terms for this category, based on the dataset.
| Search term | Avg. monthly searches |
|---|---|
| slime kit | 12,100 |
| craft kits for kids | 6,600 |
| loom bands | 4,400 |
| bracelet making kit | 4,400 |
| craft kits | 3,600 |
Remote control toys
Remote control toys deliver immediate excitement and visible performance. They also sit close to electronics, which can pull in older children and adult gift buyers.
This category is spec-driven. Surfacing battery life, durability, terrain suitability, and speed early reduces research time and can lower returns. Short demo video can help.
The table below includes the top five most searched terms for this category, based on the dataset.
| Search term | Avg. monthly searches |
|---|---|
| remote control car | 49,500 |
| remote control cars | 18,100 |
| rc car | 14,800 |
| rc cars | 9,900 |
| remote control car for kids | 4,400 |
Why search-led analysis matters for the toy market
Search data offers an early signal of demand. Many toy purchases begin weeks before checkout, often with comparison or category searches. That makes search behaviour a leading indicator rather than a lagging one.
Unlike sales data, search demand is not distorted by promotions, shelf space, or supply constraints. It captures intent even when products are out of stock, hard to find, or not actively promoted.
For manufacturers, retailers, and operators, this helps with range planning, content prioritisation, and forecasting. It also shows how buyers describe products in their own words, which is valuable for merchandising, SEO, internal navigation, and category naming.
In a competitive market, search-led analysis supports better decisions about what to stock, what to promote, and what to create content for. It reduces reliance on retrospective performance alone and helps identify where demand is concentrated versus fragmented.
