2025 PIM Statistics: How Product Information Management is Revolutionizing eCommerce?

More than ever, consumers demand rich and consistent product content across all channels. If information is missing or inaccurate, businesses suffer. For example, a recent global survey found that 83% of shoppers would abandon an e-commerce site if product information is insufficient​ [1].

In other words, if your product content doesn’t answer customers’ questions, they’ll take their wallets elsewhere. Data-driven product management isn’t just a tech buzzword – it’s necessary to meet customer expectations and drive sales.

Executives also recognize that data-driven product management can be a competitive differentiator. Companies that leverage it can move faster and make smarter decisions using accurate data. Still, over 70% of businesses face challenges with product data accuracy and consistency. The solution? The Product Information Management (PIM) platform.

PIM acts as the central hub for all product information, enabling seamless, consistent, and accurate data distribution across every touchpoint, from websites to marketplaces and beyond. However, shifting from manual processes or siloed data systems to a PIM solution isn’t always an easy sell (as you already know) + not all PIMs are built equally.

To help you build a stronger case, we’ve gathered key statistics and insights into the current state of PIM adoption and how it’s rapidly growing in importance for businesses worldwide. We’ll present the numbers and trends so you can make informed decisions for your business.

Before you explore how PIM can accelerate your growth, let us remind you what PIM is and why it’s so crucial for modern business.

Product Information Management (PIM) is the practice of centrally managing all product-related information to ensure a business can distribute accurate, consistent data to every sales channel. Simply put, a PIM system is a central repository for product data. It collects information from various sources (suppliers, manufacturers, and internal teams), enriches and organizes that data, and feeds it wherever it’s needed (e-commerce sites, marketplaces, print catalogs, point-of-sale systems, etc.).

Why does this matter? Managing product information without a PIM is often chaotic. Without a centralized system, data is scattered in spreadsheets, ERP systems, individual databases, or emails. This leads to inconsistencies (one channel shows a different price or description than another) and lots of manual work to keep everything in sync.

PIM matters because it tackles the complexity of modern product data management. It boosts efficiency, reduces errors, and creates seamless customer experiences. A strong PIM capability means a retailer can update a product detail once and have that change reflected on the website, mobile app, Amazon listing, and store shelf tags simultaneously.

To appreciate the impact of PIM, let’s look at some key statistics and facts. Below are data-driven insights (with sources) that highlight PIM adoption, market growth, benefits, and challenges in 2025:

Rapid Market Growth: The global PIM market is estimated at $15.62 billion in 2024​ and is projected to nearly double to $31.98 billion by 2029, growing about 15.4% annually (CAGR)​. [2]

Another analysis forecasts that the market will reach $20.66 billion by 2032 (up from $3.67 billion in 2023) at a faster CAGR of 21.1%​ – different figures, but both indicate explosive growth. [3]

Rising Adoption: By 2021, 50% of companies had already adopted a dedicated PIM system​, and adoption has only grown. [4] Still, roughly half of organizations today do not yet use a PIM – one survey found only 50% of organizations currently utilize PIM for managing product processes and experiences​. [2] This shows significant room for further PIM adoption.

Regional and Industry Adoption: North America currently leads in PIM usage—it held the highest market share for PIM software as of 2021​, followed by Europe and then Asia. Industry-wise, retail and e-commerce are the top sectors for PIM adoption​, with industries like finance and manufacturing catching up. [15] These trends make sense: Retailers were early adopters because they directly felt the pain of inconsistent product data, but now other sectors are realizing the value, too.

Manual Processes Persist: Despite PIM solutions, many companies still use manual product data methods. About 40% of organizations manage product information using manual tools (like spreadsheets)​. [5]

Time-Consuming Data Management: Placing or updating product data is labor-intensive without PIM. For example, adding a single new product (one SKU) to a website can require 20–46 minutes of manual work​. [2]

Efficiency Gains with PIM: Managing product information in a PIM system is significantly faster than using spreadsheets or disparate tools. Estimates show that managing product data in a PIM is up to 6× faster than in Excel-based processes​. [2] That means a task that takes hours via spreadsheets might take minutes with a good PIM.

Faster Time to Market: Organizations using PIM can launch products more quickly. PIM adopters achieve 2× speedier time-to-market for new products compared to non-adopters, which contributes to substantially better financial outcomes – up to 5.5× better-operating margins for those companies, according to one analysis​. [6]

Higher Conversions and Sales: Better product information directly boosts sales. Using a PIM to deliver rich, accurate content can drive a 20–50% increase in online conversion rates (the percentage of shoppers who buy)​. [7]

Reduced Returns: High-quality data means customers get what they expect, leading to fewer returns. Businesses prioritizing product data quality see 25% fewer product returns on average​. [8] This is often because accurate descriptions and specs help set correct expectations. Fewer returns not only save costs but also indicate happier customers.

Impact on Revenue: Poor product data has an actual financial cost. Inaccurate or inconsistent product information can cost companies 15–25% of their revenue​. [9] Conversely, investing in PIM and data quality protects revenue by preventing lost sales. It’s a reminder that data management is not just an IT issue – it’s directly tied to the bottom line.

Headless PIM Trend: 60% of retailers believe a headless PIM architecture (where the back-end data management is decoupled from front-end presentation) offers greater flexibility and scalability for their business. [12] Headless PIM is an emerging trend allowing companies to deliver product content to any new channel or device via APIs without being constrained by a single front-end system, which is increasingly important in an omnichannel world.

Customer Experience Expectations: Modern customers demand seamless experiences. 90% of consumers expect consistent product information across all channels – whether they’re browsing online, on a mobile app, or in a physical store​. [10] 

Omnichannel Retention: Companies that execute strong omnichannel strategies (often enabled by robust PIM and data integration) enjoy significantly higher customer retention. Businesses with unified multichannel commerce strategies retain up to 89% of their customers, compared to only 33% of customer retention for companies with weak or single-channel approaches​. [11] This 89% vs 33% gap illustrates how delivering a cohesive product experience across channels leads to more loyal, repeat customers.

Top PIM Pain Points: The same study highlighted the biggest PIM challenges: 37% of companies struggle with applying automation and AI to product data processes, 31% find cross-team collaboration difficult, and 28% cite timely product launches as a significant challenge due to product information hurdles​. [13] These are the areas PIM is meant to improve, but many firms have yet to solve them fully.

Data Accuracy and Compliance Issues: Data quality isn’t just about customer experience but also compliance and operations. An estimated 78% of businesses face compliance challenges due to poor data quality​. [14] In regulated industries, inaccurate product data can lead to failing regulatory requirements, which can mean legal penalties.

Additionally, one analysis found that 34% of companies struggle with ensuring data accuracy across their product information​ [13], and ensuring consistency (a related issue) is also a top concern.

Integration and Resource Barriers: Adopting PIM’s not smooth sailing. Common obstacles include integration complexity and resource constraints. The most common factors hindering PIM initiatives are lack of time, budget, or expertise/lack of know-how.

Future Outlook: Looking beyond 2024, companies see advanced technologies further transforming PIM. About 42% of organizations plan to leverage AI for product information management (for tasks like automated data enrichment or intelligent recommendations)​.

Additionally, 40% are eyeing hyper-personalization of product content, and 40% are exploring AR/VR integration for product experiences​. [13] All these future-focused stats indicate that PIM will continue evolving, integrating with AI and new digital experience tech to meet customer expectations in the coming years.

The statistics paint a clear picture: Companies that excel at managing product data are reaping the rewards in efficiency, customer satisfaction, and sales performance. This clearly shows that the PIM market is on a strong growth trajectory.

As we move beyond 2025, organizations with robust PIM processes will be best equipped to scale their offerings, delight customers with rich product experiences, and adapt quickly to the market's new channels or demands.

The investment in PIM yields measurable ROI (through increased sales and lower operational costs). Effectively managing your product information is helpful in the digital commerce race and a prerequisite for staying ahead.

And we can help with that. Seriously, we can.

BOOK a personalized 1-on-1 demo today, and we’ll show you what makes Crystallize a powerful PIM well suited for modern business.

Or, why not SIGN UP for FREE and start building?

We used the following sources:
[1] | [2] | [3] | [4] | [5] | [6] | [7] | [8] | [9] | [10] | [11] | [12] | [13] | [14] | [15]