Retail technology used to be easier to describe.
A retailer had a point-of-sale system, inventory software, an ecommerce website, maybe a CRM, and a collection of tools behind the scenes to keep everything moving.
That picture is much messier now.
The same retailer may be running physical stores, mobile commerce, online marketplaces, same-day fulfilment, loyalty programmes, digital payments, automated inventory systems and AI tools at the same time. Customers do not really care which system is responsible for which part of the experience. They just expect the product information to be right, the item to be available, the payment to work and the order to arrive when promised.
That has changed what “retail technology” means.
It is no longer one category of software. It is the infrastructure connecting discovery, commerce, inventory, fulfilment, payments, customer data and increasingly AI across the retail business.
How big is the retail technology market?
This is one of those questions where the definition matters more than the headline number.
There is no single official definition of the “retail technology market.” Commercial research firms group the category differently. One estimate may include point-of-sale hardware, ecommerce platforms and payment systems, while another may add inventory software, AI, IoT, analytics and store automation.
Put enough categories together and the market number becomes very large very quickly.
That does not necessarily make the number useful.
For this report, it makes more sense to look at the underlying technologies retailers are actually adopting and the operational problems those technologies are being used to solve.
The evidence there is much clearer.
Retail digitalisation is already well beyond ecommerce
Ecommerce gets a lot of attention, but retail digitalisation is much broader.
The OECD’s 2026 study of retail SMEs found that the share of retail businesses receiving online orders increased from 23% in 2013 to 43% in 2023. Website ownership reached 67%, while social media use stood at 66% among the retailers covered by the analysis.
At the same time, adoption beyond those basic digital tools remained uneven. The OECD found significant increases in cloud computing and AI adoption, while the use of customer relationship management systems had been much flatter.
Those findings come from the OECD’s 2026 report, Local Retail, Global Trends, which looks at digital adoption across retail SMEs and highlights substantial differences by country, company size and business model.
That gives us a more realistic picture of retail technology than simply saying retailers are “going digital.”
Most retailers already use technology.
The bigger question is how deeply the systems are connected and whether they actually improve how the business works.
Ecommerce is becoming infrastructure rather than a separate channel
Retailers used to talk about ecommerce and physical retail as though they were two separate businesses.
Customers increasingly make that distinction less clearly.
Someone may discover a product on social media, compare it online, check whether it is available at a nearby store, visit the store to see it, order it from their phone and return it somewhere else.
Every step may touch a different system.
The OECD revised its formal definition of ecommerce in 2025 partly because digital commerce itself is changing. Its updated framework now provides guidance covering areas such as digital intermediaries, subscriptions and AI-assisted transactions alongside more traditional online ordering.
The OECD’s updated definition of ecommerce reflects a broader change in how transactions are being initiated and managed digitally.
That sounds technical, but it reflects something fairly simple: commerce technology keeps moving into places that used to sit outside the ecommerce website.
For retailers, that pushes the technology conversation toward unified inventory, order management, payments and customer data rather than simply improving the online storefront.
Inventory is still one of the hardest retail technology problems
A beautifully designed shopping experience does not help much if the inventory information is wrong.
Retailers need to know what they have, where it is, what has already been promised to another customer and how quickly they can get it to the person trying to buy it.
That gets harder as channels multiply.
A product may be available in a distribution centre, a physical store, a dark store, a third-party marketplace or somewhere else in the fulfilment network. The retailer then has to decide which inventory should fulfil which order without creating unnecessary shipping cost or stockouts somewhere else.
This is one reason forecasting and inventory technology continue to receive serious attention.
In Deloitte’s 2025 Retail Industry Outlook, six in ten retail buyers surveyed said AI-enabled tools had improved demand forecasting and inventory management during 2024.
That does not mean AI has solved inventory.
It shows why retailers are putting more intelligence around the systems that decide what to buy, where to hold it and when to replenish it.
Deloitte also identified real-time inventory visibility, AI forecasting and warehouse automation among the areas receiving attention from retail executives.
The interesting part is not that those technologies are new.
It is that retailers are trying to connect them closely enough to make better operational decisions.
AI has moved into retail, but deployment is still uneven
AI is now difficult to separate from any serious discussion of retail technology.
Retailers are using or testing it across customer service, software development, fraud detection, marketing, merchandising, forecasting, search and internal productivity.
The important part is separating adoption from actual impact.
A 2025 National Retail Federation survey of AI leaders at 56 US-based retailers found that 86% already had AI governance policies in place, while 93% planned to develop or continue developing those policies over the following 12 months.
Investment was growing, but it was still relatively restrained. 77% of respondents allocated 5% or less of their technology budget to AI, although 39% expected AI to account for more than 10% of technology spending within three years.
The NRF’s retail AI research also found that current implementation was strongest in IT coding and application development, office productivity, and cybersecurity or fraud prevention. Supply-chain operations and marketing were among the areas retailers expected to prioritise next.
That is a much more useful picture than simply saying AI is transforming retail.
Retailers are investing, but many are still deciding where the technology produces enough value to justify scaling it.
Buying AI is easier than integrating it
One of the clearest themes in current retail research is that experimentation is not the same as operational transformation.
McKinsey’s 2026 work on retail merchandising found a sizeable gap between AI ambition and the ability to turn it into day-to-day operating value.
Its research found that 71% of surveyed merchants said AI merchandising tools had produced limited or no effect on their business so far, while 61% said their organisations were either not prepared or only slightly prepared to scale AI across merchandising.
The findings are explored in McKinsey’s analysis of how agentic AI is changing retail merchandising.
The underlying problems are familiar: fragmented systems, inconsistent data and uneven adoption.
That matters because many of the more ambitious retail-AI ideas depend on having clean information underneath them.
A model cannot make a good inventory recommendation if inventory data is unreliable. Personalisation becomes difficult when customer identities are fragmented across channels. Automated pricing becomes risky if the product, margin and competitor data feeding the system is incomplete.
Retailers therefore have two technology problems at the same time.
They want to build the next layer, while many are still fixing the layer underneath it.
The point of sale is becoming much more than a checkout
POS technology used to have a fairly obvious job: record the sale and take the payment.
Modern retail systems are expected to do much more.
A transaction may update inventory immediately, recognise a loyalty customer, apply personalised offers, support returns from another channel, connect to ecommerce orders, handle different payment types and feed data into accounting or analytics systems.
The value is not really that the cash register moved to the cloud.
It is that the transaction can become part of the same operating system as the rest of the business.
For smaller retailers, this can reduce the number of disconnected tools they need to manage. For larger retailers, the problem is often more complicated because newer commerce systems have to work alongside technology that may have been running for years.
That makes modernisation as much an integration problem as a software-buying problem.
Payments are becoming part of the customer experience
Payment technology is another area where infrastructure and customer experience have become difficult to separate.
Customers expect cards, mobile wallets and online payments to work without needing to understand what happens behind the scenes.
Retailers, meanwhile, have to think about payment acceptance, fraud, chargebacks, cross-border transactions, settlement, reconciliation and how payment information connects back into the wider commerce stack.
Checkout friction matters because it appears at the exact point where a customer is trying to give the retailer money.
That is why payment technology increasingly sits inside the wider customer journey rather than functioning as a final technical step added after everything else has been built.
The same logic applies online and in the store. Customers may see several channels, but the retailer still has to reconcile everything underneath them.
Customer data is becoming more valuable and more difficult to manage
Retailers collect a huge amount of information.
Transactions, browsing behaviour, loyalty activity, customer-service conversations, returns, marketing engagement and product preferences can all create useful signals.
Turning those signals into something genuinely useful is harder.
A customer may browse anonymously on one device, buy through another, visit a physical store and later contact customer support using a different identifier.
The retailer has to decide whether those interactions belong to the same person and whether it has the right permission to use that information in a particular way.
That is why CRM, customer-data platforms, identity systems and consent management increasingly sit close to personalisation technology.
AI increases the potential value of this data because it can help retailers analyse and act on much larger amounts of information.
It also increases the cost of getting governance wrong.
Deloitte’s 2025 retail outlook points to outdated systems and siloed data as continuing barriers to retailers trying to use AI for areas such as forecasting, inventory visibility and personalised experiences.
Personalisation only works long term if the systems underneath it are reliable and the customer still trusts the company doing it.
The physical store is becoming more digital, not less important
The growth of ecommerce led to years of predictions that physical retail would gradually become irrelevant.
That has not really happened.
What is changing is the role technology plays inside and around the store.
Electronic shelf labels, self-checkout, mobile point of sale, computer vision, RFID, digital signage and better inventory visibility are all attempts to give physical stores more of the information and convenience customers already expect online.
McKinsey’s 2026 report on shopping and physical stores in the age of AI argues that stores are likely to remain an important part of the shopping journey even as AI changes how consumers discover, compare and purchase products.
The role of the store may change rather than disappear.
Some visits may become more focused on immediate fulfilment. Others may be about seeing a product physically, getting advice or having an experience that is difficult to reproduce through a digital interface.
That suggests an interesting direction for retail technology.
Digital and physical retail are not converging because every store is becoming a website.
They are converging because customers increasingly expect the information and convenience of digital commerce to follow them into the physical world.
Retail technology is becoming a data integration problem
A retailer can buy excellent software for almost every individual problem.
That does not mean the retailer has an excellent technology stack.
The difficult part is getting all of those systems to work together.
Product data needs to reach ecommerce, stores and marketplaces. Inventory needs to update across fulfilment locations. Customer information needs to move between marketing, loyalty and service systems. Payments need to reconcile correctly. Analytics needs reliable information from almost everything else.
Retailers that have accumulated systems over many years can end up with impressive technology individually and messy operations collectively.
This also helps explain why advanced technology adoption is uneven among smaller retailers.
The OECD’s 2026 analysis of retail SMEs found that more basic technologies such as websites and social media were widespread, while adoption of more advanced digital tools varied much more significantly.
The value increasingly comes from the connections between systems rather than the number of systems a retailer owns.
Cybersecurity becomes more serious as stores become more connected
Every new digital system creates another potential point of failure.
Retailers handle payment information, customer identities, employee data, loyalty accounts, supplier systems and increasingly large amounts of behavioural information.
They also operate physical environments containing connected devices, point-of-sale systems and other technology that cannot simply be taken offline every time something needs to be updated.
That makes cybersecurity part of retail operations rather than only an IT concern.
The NRF’s 2025 retail AI study found cybersecurity and fraud prevention among the most common areas where surveyed retailers were already implementing AI.
Newer AI systems introduce additional questions.
In March 2026, the NRF and PwC published guidance on managing and governing agentic AI in retail, based on workshops involving cybersecurity, technology, legal and business leaders from US retailers.
The report looks at both sides of the change: retailers using AI agents internally and customers increasingly using agents to search, compare and eventually purchase products.
The more autonomous these systems become, the more important it becomes to know what they are allowed to access and what decisions they are allowed to make.
Smaller retailers face a different technology problem
The technology discussion often focuses on global retailers with large engineering teams and transformation budgets.
Most retailers do not look like that.
For smaller businesses, the challenge is usually choosing a small number of tools that work together without creating more operational complexity than they remove.
The OECD’s research into the digitalisation of retail SMEs shows a clear relationship between business size and digital adoption.
Its analysis also found that while 59% of retail firms in the five-country dataset had a website, fewer than one in four were using additional web technologies such as electronic payments, multilingual functionality, ecommerce technology or shipping and tracking integrations.
That gap matters because the benefits of technology are increasingly connected.
A retailer using ecommerce without connected inventory still has an inventory problem.
A retailer using digital marketing without good customer data may struggle to understand whether the marketing is working.
A retailer using AI without organised business data may simply generate faster confusion.
For smaller retailers, integration and simplicity may therefore matter more than having the newest tool.
Where retail technology investment is heading
The direction of travel is fairly clear even if individual market forecasts vary.
Retailers are continuing to invest in ecommerce infrastructure, payments, inventory systems, supply-chain technology, customer data and automation.
AI is being added across all of those areas rather than developing as one completely separate technology category.
The NRF’s 2025 AI research suggests AI is likely to take a larger share of retail technology budgets over the next several years.
At the same time, McKinsey’s research into retail merchandising and agentic AI shows that many retailers still need stronger data, systems and operating models before they can scale these technologies effectively.
Consumers are also beginning to use AI on their side of the transaction.
That may become one of the more important changes.
Retail technology has traditionally been designed around a human customer browsing products, comparing options and clicking through checkout.
Agentic commerce introduces the possibility that software does more of that work for the customer.
The NRF and PwC’s 2026 work on agentic AI in retail explicitly discusses AI agents that can browse, compare and purchase on behalf of shoppers.
Retailers may increasingly need to make product information, availability, pricing and purchasing systems understandable not only to people, but to the software acting for them.
What this means for retail technology teams
The next phase of retail technology is probably not about adding as many tools as possible.
It is about making the existing pieces work together well enough that new capabilities can actually be useful.
That means clean product and inventory data. It means knowing who owns customer information and how it can be used. It means connecting stores and ecommerce instead of building parallel systems. It means understanding where automation genuinely removes work and where it simply creates another layer that people need to supervise.
AI will be part of that.
So will cloud infrastructure, payments, inventory systems, customer platforms, cybersecurity and technologies retailers have already been using for years.
The retailers that get the most value from the next generation of technology may not be the ones experimenting with the largest number of tools.
They may simply be the ones with the clearest understanding of which problems technology is supposed to solve.
Final thoughts
Retail technology is becoming less visible to customers while becoming more important to almost everything they do.
A shopper may never think about the inventory system, payment infrastructure, recommendation model or order-management software behind a purchase.
They notice when any of it fails.
That is why the retail technology market is moving away from isolated tools and toward connected systems that support the entire journey from discovery to fulfilment and after-sales service.
AI is accelerating that change, but it is not replacing the fundamentals. Retailers still need reliable data, connected inventory, secure payments, useful customer information and systems that employees can actually work with.
The technology will keep changing.
The underlying job remains fairly simple: help the retailer understand what is happening, make better decisions and make it easier for the customer to buy.