IoT Market Shifts as Standardization and AI Integration Reshape Business Spending
Today, enterprises manage device fleets with compounding complexity, from dozens of vendors across facilities, product lines and supply chains. Every incompatible protocol, every siloed dashboard and every proprietary data format adds friction that enterprises are increasingly unwilling to accept.
AI capabilities are rapidly following the same trajectory, growing from bespoke implementations requiring specialized expertise to turnkey solutions that integrate into existing workflows.
Arguably, the IoT maturity is beyond the saturation phase with IoT enterprise spending slowing and entering a steady-state mature market with consolidation to hyperscalers. For years, closed systems were viewed as competitive moats. Sell customers your entire ecosystem and the higher switching costs would ensure loyalty and a "walled garden" from which to sell more, the thinking went.
This logic is breaking down, and enterprises are notoriously wary of vendor lock-in, with 82% of IT leaders using enterprise open source for superior scalability while avoiding lock-in. No longer can proprietary ecosystems win through sheer scale; everyone must now compete in an interwoven ecosystem where interoperability is emerging as the winner.
The Importance Of Interoperability
Managing proprietary-first systems, products and devices creates operational overhead, a cost that scales with growth. Integration costs in manufacturing environments, for example, can consume 30% to 40% of total IoT project budgets. The operational overhead includes resources directed toward making systems "talk" to each other rather than delivering actual business value.
Every proprietary protocol requires specialized expertise. Every vendor-specific dashboard demands separate training. Within an enterprise, as IoT applications expand from pilot projects to enterprise-wide implementations, this fragmentation tax compounds, with requirements across teams, product lines and business units. For IoT products manufactured by OEMs, one proprietary protocol that seemed manageable at 100 devices becomes untenable at 10,000.
Enterprise procurement teams realize this [growing] challenge. Interoperability questions are moving earlier in the evaluation process, and vendors that can't provide clear answers are being screened out of the ecosystem before technical evaluations begin.
Interoperability is a competitive advantage, not a concession.
The principle seems counterintuitive. Yet, opening up your ecosystem can actually strengthen the entire business. Opening up an ecosystem allows OEMs to provide more focus to the core product offering, making way for other players to fill in where the OEM lacks focus: for example, integrating cloud and security from a best-of-breed producer instead of wasting resources that could be better spent improving the core product and strengthening customer relationships.
When devices and software integrate easily with others, they become cemented in a customer's broader technology stack. The solution that makes everything else work better, not the isolated point solution that creates yet another silo, is the one that remains. This positioning is inherently stickier than traditional lock-in strategies; customers actively want to renew products that evolve with them and continue to add value, rather than by entrapment or force.
Consider how fleet management companies like Samsara and Geotab have gained ground. Rather than forcing customers into a single hardware stack, each built platforms that integrate with a wide range of third-party sensors and systems. Embracing an interoperability approach turns a broad ecosystem, and even potential competitors, into complementary partners, only increasing the benefit of the solution for the customer.
Winning through integration depth supplants the old playbook of winning through switching costs. Customers stay, not because leaving is painful, but because staying delivers compounding value.
Standardization Is Reaching Critical Mass
Previous attempts at IoT standardization often stalled in committee or fragmented into competing specifications. This moment is different.
Matter, the smart home connectivity standard, now has the backing of Apple, Google, Amazon and Samsung. These companies recognized that consumer frustration with the lack of interoperability-"product works with X but not Y"-was creating friction across the entire category. By supporting a common standard, the companies are expanding the addressable market, rather than fighting over existing share.
Industrial IoT is following a similar trajectory. Sparkplug provides a standardized MQTT topic namespace and payload definition that enables interoperability between devices from different vendors. Digital twin initiatives are moving from theoretical frameworks to practical implementations.
OEMs that standardize early will have integration advantages when enterprise buyers start mandating compliance. Those who wait will face expensive retrofit projects while competitors capture market share.
Interoperability In AI-Powered Devices
AI-powered devices and optimization systems are only as capable as the data feeding them. This is where interoperability plays a strategic necessity.
Machine learning models trained on data from a single vendor's devices can only optimize within that vendor's limited view. Models that can ingest data from across an entire operation, regardless of manufacturer, can identify patterns and opportunities that siloed systems cannot see.
For example, predictive maintenance algorithms become more accurate when they can correlate data from equipment across the production line. Energy optimization improves when building systems can communicate regardless of manufacturer. Supply chain visibility increases when tracking data flows seamlessly across partners and platforms.
Enterprises making the largest AI investments are discovering that interoperability is a prerequisite for their AI strategy. Siloed data limits what machine learning can deliver, and the availability of free-flowing data gets lower as AI ambitions grow higher.
OEMs Navigating The Demand For Interoperable IoT
Product strategy must evolve to treat integration capability as table stakes. This doesn't mean abandoning differentiation. More so, it means OEMs compete on the value your devices create within a connected ecosystem rather than the walls your devices build around it.
The practical question is where to be "open enough" versus fully open. The strategic approach is to identify the integration points that matter most to customers and ensure those work seamlessly, while maintaining proprietary advantages where differentiation genuinely creates unique value.
Partnerships and ecosystem positioning deserve treatment as core considerations of the product road map, not ancillary business development activities.
Moving forward, winning in the IoT space will be defined by interoperability. The platforms that reduce, rather than add to the integration burden, and the solutions that enable, rather than constrain customer choices, will be the ones that control the market.
