Why Packaging Analytics Matter for Modern Candle Businesses?

The growth of the candle manufacturing business is one of the most rapid expansions of an industry over the last several decades. The growth has been based on increased consumer interest in all aspects of health, wellness, home, fragrances, self-care rituals, and much more.

By 2025, Grand View Research estimated the size of the global candle manufacturing industry would be $14.77 billion. Additionally, they estimate that the global candle manufacturing industry will be valued at approximately $25.44 billion by 2033.

The increase in the number of companies involved in candle manufacturing, especially those selling candles in the premium and scented categories, is creating intense competition. In order to compete with other similar products, candle manufacturers are utilizing a variety of tactics that include custom candle dust covers and candle packaging.

Therefore, it can be concluded that data-driven packaging analytics provide an important means for companies producing candles to differentiate themselves in what is becoming an increasingly competitive marketplace.

The Growing Complexity of the Candle Market

The premium scented candle segment held 71.8 percent of category revenue in 2025 (according to Grand View Research). This trend has led brands towards elaborate glass jars, metal lids, and gift-ready packaging structures; container candles were the largest shareholder of any product type in 2025 (Fortune Business Insights), indicating that packaging is no longer a secondary consideration but rather a primary factor in purchasing decisions.

As manufacturers develop more complex assortments of candles, they can no longer rely on intuition alone to determine investment in packaging.

Consumer Behavior and the Case for Analytics

Packaging influences consumers’ perceptions about branding by category, particularly with regard to home fragrances, according to an analysis from InContext Solutions. Their study states that seventy percent (70%) of customers have developed an impression of a brand through packaging design.

The same source cites a Nielsen study, which indicated that sixty-four percent (64%) of customers will sample a product simply due to the attractive nature of its packaging. This data illustrates that packaging is used as an active way to communicate with the customer rather than merely serving as a passive vessel.

Therefore, without analytical data for decision-making purposes regarding this aspect, it appears as though many candle companies make assumptions when designing packaging for their candles versus relying upon actual data.

Data-Backed Design Replacing Intuition-Led Strategy

Packaging Design Services is valued at $26.6 billion in 2025, according to InContext Solutions. The company’s report highlights that most companies still decide what packaging to put on products by using only the brand’s own internal preference (taste) for the product.

According to a study done in 2025, which was used as data in their report, 37 percent of all shoppers reported avoiding shopping due to packaging being unsustainably produced. Eighty percent of the people polled indicated that they believe most companies use too much material for candle packaging boxes wholesale (and/or do so in an environmentally wasteful manner).

As such, there is a clearly quantifiable financial risk associated with making packaging decisions without the aid of consumer behavior analytics.

Analytics and Operational Efficiency in E-Commerce

Menasha Packaging’s data division shows how a packaged goods audit on an e-commerce scale can provide the kind of data needed by brands to make decisions about their packaging on an enterprise level.

They claim to have audited over 3,500 packages via e-commerce in addition to auditing 150,000 retail display units as part of a single year’s worth of audits. For every one of those observations, there is now a measurable data point that is being used to evaluate how well each brand’s packaging is performing compared to other brands.

Because of this large-scale packaging analysis, manufacturers are able to discover issues with their product’s packaging structure before those issues result in costly returns or damage claims. Companies selling candles that include fragile materials such as glass and/or wax are exposed to additional risk from potential damage during transportation.

The research from MDPI also shows how AI and analytics can lower the cost of packaging for e-commerce. To do this, researchers applied a three-phase method that consisted of analyzing diagnostic data; using a machine learning model to make predictions about ideal sizes of the packaging and candle dust covers, and validating the models by using real-world examples.

The results were that over-packaging and inefficient boxing are frequent causes of unnecessary materials being wasted or excessive shipping costs incurred. Researchers then created an algorithm using a random forest model to determine the ideal size and configuration for boxes based on the weight and volume of products.

Therefore, for candle producers and manufactures, this form of predictive modeling will be able to reduce breakage in shipment at the same time as it reduces the companies shipping costs.

Sustainability Metrics as a Packaging Analytics Priority

MarketsandMarkets estimates that the global e-commerce packaging market will grow to $79.83 billion in 2025 from $114.33 billion by 2030. In addition, as of 2024, corrugated board represents 60% of the total packaging materials for the e-commerce sector.

These shifting trends are driven primarily by increasing regulation related to the use of recyclable materials and consumers increasingly selecting products with sustainable packaging. With data available regarding recyclable rates, product damage, and material durability, candle companies can better understand their packaging’s ROI.

Thus, analytics support both an organization’s sustainability initiatives and financial success.

Conclusion

All sources, such as research organizations, consulting firms, and academic studies, agree with one another. From a business perspective, all signs suggest that in order for candle manufacturers to remain viable, packaging analytics will be an operational necessity as opposed to an optional feature.

Premiumisation of candles is driving increased consumer expectation of sustainable products, and e-commerce continues to add complexity to how brands manage their product packaging. With both these factors expected to increase in importance in the future, the failure to measure a company’s packaging strategy increases the potential risks to its bottom line.

Therefore, companies that utilize data-driven packaging analytical tools while creating candle packaging boxes wholesale will have a greater opportunity to reduce waste, decrease damage during transit, and improve customer perceptions of their brand.