5 Search Trends in
Ecommerce You Need
to Know in 2025

In this section, we’ll dive into the top product search trends to watch in 2025. Keeping up with these trends can help merchants make smarter choices to level up their search functionality and deliver a better shopping experience for their customers.

You might wonder how AI is transforming product search. Instead of simply matching keywords, AI product search leverages artificial intelligence, machine learning, natural language processing in search (NLP), and predictive search technology to deliver smarter, more personalized results. Essentially, AI search understands what shoppers want - even before they fully express it. By analyzing their preferences, past behavior, and context, it surfaces the most relevant products, making shopping faster and more intuitive.

Beauty retailers like Sephora are already taking advantage of AI product search. When a customer searches for “red lipstick” on their website, Sephora's AI-driven search doesn’t just show every lipstick with “red” in the title. Instead, the AI looks at factors like skin tone preferences, past purchases, and current trends to offer personalized product recommendations. It can even predict what specific shades of red the customer might like based on previous interactions. Because the AI is tuned into their needs, they’re much more likely to find what they’re looking for - and make a purchase!

Here are some benefits of AI personalization in eCommerce:

• Increased Conversion Rates: When search results feel personal and dynamic, customers are more likely to find what they’re looking for and actually make a purchase.
• Scalability: AI search is not just a powerful tool for today, but also a scalable solution for the future. It grows with your business, handling more data and adapting to changing user behavior without the need for manual updates.
• Optimized Customer Experience: AI helps shoppers find what they want faster and with more relevant results, making their journey smoother and boosting engagement. In fact, businesses that nail personalization see up to 40% more revenue compared to those who don’t (McKinsey).

One of the exciting shifts in eCommerce search technology 2025 is visual search. Instead of typing out a product name, customers can simply upload an image and instantly find similar items across an online store. This makes shopping feel faster and more natural. In the near future, it's likely that shoppers will come to expect this kind of image-based search to be available everywhere.

To give you a clearer picture of how visual search works, let’s look at a clothing brand like ASOS. Imagine you spot a dress you love on Instagram or in person. With visual search, you can snap a quick photo and upload it to ASOS. The AI then scans the image and pulls up similar dresses from their collection based on color, style, and fabric. This makes it easy to find precisely what you're looking for, creating a smooth and effortless shopping experience, especially in the visually-driven fashion world.

Let’s look at reasons why visual and voice search matter for eCommerce:

• Increased Engagement: Visual search keeps customers engaged longer by making the shopping process more interactive and enjoyable. In fact, 36% of consumers have used visual search, matching the adoption rate of voice search (Business Wire).
• Improved Shopping Experience: Better Shopping Experience: Visual search makes shopping feel more natural and easy, cutting down on frustration and improving the overall customer journey. This is especially important because 50% of consumers prefer visual content over text when shopping, except categories like electronics, household goods, and wine & spirits. In fact, 85% of shoppers prioritize visuals when buying clothing or furniture (Business Wire).
• Projected Market Growth: The visual search eCommerce market is projected to reach $32 billion by 2028, with a CAGR of 17.5% from 2021 to 2028, highlighting its growing importance in eCommerce. Companies are already shifting their strategies to capitalize on this trend (Data Bridge Market Research).

Another excellent example of product search trends 2025 is voice search, which allows users to find what they’re looking for simply by speaking rather than typing. Thanks to a hands-free and convenient shopping experience, voice search is a game-changer in consumer behavior. With the rise of virtual assistants, voice search optimization for eCommerce is a must.

For example, Target has integrated voice search with both Google Assistant and Amazon Alexa, allowing customers to shop using voice commands. For example, a customer could say, “Alexa, add a set of towels to my Target shopping list,” or, “Hey Google, find me a pair of running shoes in size 8.” The voice assistants not only recognize the commands but also leverage Natural Language Processing in search to understand the context, such as specific product details, and return relevant results.

Here are some of the benefits of voice search:

• Faster Search Process: Voice search speeds things up by letting users find products without typing a word, making the experience smoother and more efficient. In fact, voice search results load 52% faster than traditional text searches (Yaguara).
• Enhanced User Experience: Voice search provides a hands-free, more natural shopping experience, appealing to users who prefer simplicity and speed over typing.
• Growing Popularity: Voice search is gaining traction fast, with 50% of U.S. mobile users relying on it daily. As voice assistants become even more mainstream, voice search is set to become an essential tool in eCommerce (Upcity).

As sustainability becomes a bigger priority for consumers, eco-conscious shopping is moving from a trend to an expectation. One of the key product search trends 2025 is the introduction of sustainable product search filters, making it easy for shoppers to find items that are eco-friendly. In fact, 73% of consumers worldwide say they’d be willing to change their buying habits to lessen their environmental footprint.

For example, Patagonia, a brand that's all about sustainability, lets customers filter products by categories like 'recycled materials' and 'organic cotton.' These filters make it easier for shoppers to find products that match their values, while also reinforcing the brand’s commitment to sustainability. This creates a stronger connection with customers, boosting both loyalty and the overall shopping experience.

Benefits of sustainable product search filters:

• Meeting Consumer Demand: Sustainability isn’t just a trend anymore - it’s what shoppers expect. With sustainable filters, customers can easily find eco-friendly options that align with their values. In fact, over 70% of global consumers purchase more sustainable products than they were five years ago, and a third are happy to spend more for sustainability (Businesswire).
• Brand Differentiation: By offering sustainable product search filters, brands can stand out in a competitive market, appeal to eco-conscious consumers and enhance brand loyalty.
• Improved Customer Experience: Adding sustainable filters makes shopping more intuitive and tailored. Customers can effortlessly discover products that match their values, cutting down on decision fatigue and leaving shoppers more satisfied with their experience.

Another exciting product search trend 2025 is hyper-personalization in eCommerce search. It builds on traditional AI personalization but goes even further by combining real-time, contextual, and behavioral data in eCommerce. Unlike standard personalization that focuses on past shopping habits, hyper-personalization adapts on the fly - taking into account things like a customer’s location, device, time of day, and even their current browsing activity. The result? A truly tailored shopping experience that feels intuitive and one-of-a-kind.

For example, Amazon excels at hyper-personalization in the online shopping experience. If a customer frequently browses desktop monitors, Amazon’s AI system doesn’t just recommend similar monitors. Before the customer even searches for them, it anticipates related purchases, such as desk mounts, cables, or monitor risers. This highly data-driven, predictive search technology helps Amazon not only recommend the right products but also increase conversion rates.

Look at the most prominent benefits of hyper-personalization:

• Boost Conversion Rates: Customers who engage with personalized search results are 2-3 times more likely to convert. By delivering highly relevant product recommendations, you make it easier for shoppers to achieve their goals, resulting in more completed purchases (Forrester).
• Improved Customer Loyalty: Shoppers love feeling like a brand truly gets them. Personalized experiences create that connection, making them more likely to stick around - 60% of consumers say they’re more inclined to return after a shopping experience that feels tailored to them (Segment).
• Competitive Advantage: Hyper-personalization allows brands to differentiate themselves by offering a seamless, unique shopping experience. This boosts customer satisfaction and helps reduce cart abandonment. On the flip side, companies that fail to invest in personalization risk losing up to 38% of their customer base (Gartner).

Now that we’ve covered the key product search trends 2025, let’s dive into some actionable tips for incorporating these trends into your business with the help of a smart search app. Say, the Searchanise Search & Filter app, with advanced search features for online stores, is an excellent solution for improving your search experience, providing relevant and lightning-fast results, and staying ahead of the curve with cutting-edge technology. Designed for the most popular e-commerce platforms like Shopify, BigCommerce, Wix and more, it can also be incorporated into custom online stores.

Let’s take a closer look at some of the app’s features that are perfectly aligned with the product search trends 2025.

Searchanise offers a powerful AI personalization in eCommerce that helps deliver highly relevant, dynamic search results tailored to your customer’s preferences and behaviors. By analyzing not just the products viewed or searched but also real-time actions throughout the shopping journey, Searchanise ensures customers are presented with the most accurate and personalized results.

Key actions tracked by Searchanise include:

• Products viewed: Tracking at least five views helps understand what catches the customer’s attention.
• Products added to cart: Analyzing at least two items added to the cart helps determine interest.
• Products purchased: Tracking completed transactions to predict future behavior.
• Brand preferences (Shopify only): This is for customers who show interest in specific brands, allowing for more targeted recommendations.

With adjustable priority settings, merchants can fine-tune their site search to focus on what matters most, whether it’s specific product categories, brands, or types. This flexibility makes Searchanise the perfect tool for creating a personalized and smooth search experience that boosts both customer engagement and conversions.

With Searchanise, voice search makes it easier than ever for your customers to find what they're looking for - just by speaking! The feature is handy on mobile devices, where typing can be inconvenient.

By adding voice search, you’re offering a more intuitive and convenient shopping experience, helping customers save time and enhancing their overall satisfaction. With this simple yet powerful tool, you'll not only improve the user experience but also stand out in a competitive eCommerce landscape.

Search filtering and sorting are key features of Searchanise, helping customers quickly narrow down their options. By offering various filters like price, brand, and color, you make the shopping experience faster, more personalized, and more seamless.

To provide a sustainable experience, you can add custom filters, such as eco-friendly options. This allows customers to filter products based on sustainability, helping them make environmentally conscious purchasing decisions.

Additionally, Searchanise allows you to customize filters based on locations, product options, metafields, and more. By fine-tuning your filters, you can better align the search experience with your customers' values, creating a personalized and more effective shopping journey.

Product search trends 2025 like AI search, voice search, hyper-personalization, and more are shaping the future of product search. By embracing these trends, you can provide a faster, more intuitive shopping experience that meets customer expectations and improves key metrics.

Whether it’s personalized search results, voice-enabled shopping, or eco-friendly filters, staying ahead of the curve will set your store apart. By investing in long-term solutions like Searchanise Search & Filter, you can stay ahead of emerging trends and future-proof your online store in the fast-changing eCommerce landscape. Arm your business with the right tool and confidently stride into the future!