The Internet of Things (IoT) is undergoing a profound renaissance, driven by surging enterprise ambitions in physical artificial intelligence and dramatic improvements in edge computing architecture. As businesses increasingly rely on continuous machine-to-machine data exchange, connectivity providers find themselves at the center of a high-stakes operational evolution. A comprehensive global market study published by Eseye, a specialist IoT connectivity provider, reveals that two-thirds of surveyed enterprises intend to aggressively scale up their capital expenditures in connected devices over the next two years. However, this aggressive expansion highlights a critical operational paradox: more than half of these organizations continue to grapple with average connectivity performance metrics hovering at or below 90 percent.
This persistent performance gap stands in stark contrast to the modern operational landscape, where near-continuous, mission-critical connectivity has transitioned from a technical luxury to a fundamental prerequisite for commercial survival. As organizations navigate the complexities of managing thousands of distributed assets, the industry is approaching a watershed moment. The intersection of maturing physical AI applications, legacy network retirements, and the advent of the GSMA SGP.32 remote SIM provisioning standard is forcing enterprise leadership teams to reevaluate how they procure, manage, and orchestrate their connected estates.
The Evolution of IoT Adoption: A Multi-Year Trajectory
To understand the current state of enterprise IoT deployment, one must examine the evolutionary path the technology has traveled over the past decade. In its infancy, the IoT market was largely defined by fragmented, proof-of-concept deployments. Enterprises experimented with isolated connected sensors and asset-tracking tags, treating the technology as a peripheral innovation rather than a core operational engine.
By the mid-2010s, the market entered a rapid expansion phase. Cellular and low-power wide-area (LPWA) networks expanded globally, enabling businesses to connect remote assets at scale. However, this rapid scaling exposed severe operational friction. Enterprises found themselves tangled in webs of multiple mobile network operators, disparate SIM card management platforms, and rigid proprietary hardware architectures. Device failures, unexpected data roaming fees, and regional coverage blackouts became common pain points that hindered return on investment.
Entering the 2025-2026 cycle, the narrative has shifted from pure geographic expansion to operational resilience and lifecycle orchestration. Eseye’s recent market findings indicate a palpable rise in enterprise confidence regarding the long-term viability and strategic necessity of IoT. Despite persistent, unresolved historical challenges—ranging from device-level hardware failures to the staggering administrative burden of managing multiple vendor relationships—businesses are no longer slowing down. Instead, they are pivoting toward advanced technological frameworks such as multi-network resilience, managed connectivity, and automated orchestration platforms to solve these systemic friction points.
Current Market Dynamics and the Scale of Enterprise Estates
The quantitative data underpinning the modern IoT landscape illustrates an industry experiencing rapid, structural growth. According to Eseye’s research, the vast majority of surveyed organizations currently maintain active connected estates ranging between 1,000 and 10,000 devices. Furthermore, 78 percent of these enterprises project that their connected footprints will expand significantly over the subsequent 18 months. Crucially, this expansion is matched by capital allocation: two-thirds of respondents are planning meaningful budget increases rather than marginal, incremental adjustments.
Yet, this rapid accumulation of connected hardware has outpaced internal operational capabilities. Enterprises continue to report widespread difficulties in coordinating multi-SIM deployments, securing specialized engineering support, guaranteeing multi-region network coverage, and maintaining device-level security protocols. The most alarming metric revealed in the research is that over 50 percent of surveyed businesses experience average uptime performance at or below 90 percent.
In a modern enterprise environment where connected assets dictate supply chain visibility, healthcare delivery, and industrial automation, an uptime ceiling of 90 percent translates into unacceptable operational downtime. For an estate comprising 10,000 mission-critical devices, a 10 percent failure or disconnection rate results in thousands of hours of lost data transmission, compromised asset tracking, and heightened vulnerability to cyber threats. This stark disparity underscores an urgent industry demand for managed services capable of bridging the gap between required resilience and actual performance.
The Regulatory Catalyst: GSMA SGP.32 and the Rise of Managed Orchestration
As enterprises prepare for the operational realities of increasingly complex, large-scale deployments, regulatory and standards bodies are introducing frameworks designed to alleviate administrative and technical burdens. Chief among these developments is the GSMA SGP.32 standard.
Formally released by the GSMA in May 2023, SGP.32 represents a next-generation remote SIM provisioning (RSP) architecture engineered specifically for IoT devices. Historically, provisioning cellular credentials onto industrial machinery, remote sensors, and unattended infrastructure presented a formidable logistical challenge. Many modern IoT devices feature no screen, no user interface, and no physical mechanism for a technician to scan a QR code or manually input network credentials.
The SGP.32 standard resolves this bottleneck by allowing enterprises and mobile network operators to securely download, enable, disable, or delete mobile network profiles over-the-air (OTA) across headless and resource-constrained devices. This capability is proving transformative for sectors reliant on mass-deployed hardware that cannot be manually serviced once installed in the field.
Eseye’s findings indicate that the marketplace is responding enthusiastically to this technological leap. Approximately 75 percent of surveyed enterprises express a clear preference for partnering with managed service providers (MSPs) for their IoT deployments. Within this preference, managed SGP.32 orchestration stands out as the single most sought-after provider capability.
Industry analysts observe a fundamental shift in executive philosophy regarding control. Enterprises still demand absolute sovereignty over their data and network policies, but they increasingly define control as high-level visibility, policy ownership, network choice, and supplier flexibility, rather than shouldering the grueling day-to-day responsibility of operational execution. As SGP.32 transitions from technical specification to widespread commercial operation, third-party service providers face an expanded mandate: evolving from basic connectivity resellers into sophisticated orchestrators capable of harmonizing disparate networks, software profiles, and device lifecycles.
The Legacy Threat: Navigating 2G and 3G Network Sunsets
While forward-looking standards like SGP.32 offer a glimpse into the future of IoT management, connectivity providers and their enterprise customers must simultaneously confront an urgent, legacy-driven crisis: the global retirement of 2G and 3G telecommunications networks.
Telecommunications carriers worldwide are systematically shutting down legacy cellular infrastructures to reallocate valuable radio frequency spectrum toward high-speed 4G LTE, 5G, and narrowband IoT (NB-IoT) networks. However, because many industrial IoT devices—such as smart meters, remote environmental monitors, and logistics trackers—are engineered to operate autonomously in the field for a decade or more, millions of active units currently rely on aging 2G and 3G basebands.
Eseye’s market report reveals that 74.3 percent of enterprises anticipate that these sweeping network shutdowns will directly impact their business continuity. The retirement of legacy networks is no longer a theoretical horizon event; it is an active operational threat requiring immediate migration strategies, hardware retrofits, or firmware overhauls. For managed service providers, assisting legacy-bound enterprises through this difficult transition represents both a critical client retention imperative and a substantial commercial opportunity.
Sector-Specific Maturity and Diverging Industry Adoption
The maturity, resilience, and strategic prioritization of IoT vary wildly across different vertical industries. A granular examination of the market reveals distinct operational profiles among key sectors:
Healthcare and Logistics: Enterprises operating within these domains generally manage relatively large, highly reliable device estates. Because supply chain integrity and patient monitoring brook zero margin for error, these sectors have historically prioritized robust uptime, redundancy, and secure data pipelines, resulting in mature, highly optimized deployments.
Manufacturing: Industrial manufacturing enterprises are expanding their connected footprints at a rapid pace, yet they remain stymied by acute vendor fragmentation and performance complexity. Integrating legacy operational technology (OT) with modern information technology (IT) networks continues to present significant architectural hurdles.
EV Charging Infrastructure: Electric vehicle charging networks remain firmly entrenched in an aggressive infrastructure scale-up phase. As municipalities and commercial real estate operators rush to install chargers, the primary focus centers on physical deployment and power grid integration, often leaving advanced connectivity orchestration as a secondary consideration.
Smart Vending and Retail, Catering & Leisure: Smart vending operators combine aggressive commercial growth strategies with an intense demand for granular remote control and inventory visibility. Meanwhile, retail, catering, and hospitality businesses are increasingly prioritizing edge intelligence and localized customer support to optimize on-site operations and enhance consumer experiences.
Transatlantic Disparities: Comparing UK and US IoT Ecosystems
One of the most compelling insights generated by Eseye’s annual market research is its comparative analysis of the United Kingdom and United States IoT landscapes. The 2026 data exposes notable structural differences in how enterprises approach deployment scale, operational maturity, and risk mitigation on opposite sides of the Atlantic.
In the United Kingdom, IoT estates tend to be larger and more consolidated. Specifically, 38.2 percent of UK organizations surveyed operate massive estates containing between 5,000 and 10,000 connected devices. In contrast, the average US enterprise maintains a smaller footprint, with 36.2 percent managing between 1,000 and 5,000 devices. Notably, very few organizations in either geographic market report operating fewer than 500 connected devices, confirming that enterprise IoT has graduated past experimental phases and achieved mature production adoption across both regions.
Despite these differences in scale, reliability challenges remain remarkably uniform. Approximately 99 percent of respondents in both the UK and the US report average uptime performance figures of 98 percent or lower. Eseye’s report emphasizes the compounding mathematical reality of these figures: across an enterprise estate numbering in the tens of thousands of devices, even fractional percentages of downtime translate into significant, quantifiable periods of lost connectivity. This vulnerability underscores why every single percentage point of uptime is vital as IoT embeds itself deeper into business-critical operations.
Interestingly, UK organizations exhibit a noticeably higher degree of operational anxiety than their US counterparts. British enterprises are significantly more likely to regard near-total global connectivity as an absolute mission-critical requirement, to identify hardware and device-level failures as the primary catalyst for project failure, to express a strong preference for managed third-party providers, and to anticipate severe operational disruption resulting from 2G and 3G network shutdowns.
Industry analysts attribute these transatlantic divergences to the relative maturity curve of the respective markets. Having deployed larger estates earlier, UK organizations have confronted the harsh operational friction points of scale sooner than US businesses. Consequently, the commercial opportunity in the UK market is heavily centered on optimizing established deployments, maximizing uptime, simplifying fragmented estates, migrating legacy hardware, and deploying sophisticated orchestration layers. Conversely, the US market opportunity skews slightly toward initial optimization and first-wave enterprise scaling.
Broader Industry Implications and the Physical AI Supercycle
The comprehensive findings of the Eseye report illustrate a fundamental metamorphosis within the technology sector. As the scale, scope, and strategic value of IoT deployments expand, connected hardware is shedding its historical reputation as a peripheral enterprise novelty. Today, IoT functions as a core, business-critical operational capability—a shift that has successfully elevated network connectivity discussions from IT departments into corporate boardrooms.
This evolution carries profound implications for the burgeoning field of physical artificial intelligence. As enterprises race to deploy autonomous robotics, smart infrastructure, edge-computed machine learning models, and real-time automated machinery, the underlying digital and physical infrastructure must be prepared to handle unprecedented data throughput, ultra-low latency, and absolute reliability.
The current data demonstrates that while global infrastructure is not yet fully optimized to support the most demanding physical AI workloads, the market is making aggressive, deliberate strides toward maturity. Enterprises are actively recognizing their operational limitations, embracing advanced orchestration standards like GSMA SGP.32, and partnering with specialized managed service providers to fortify their networks.
Ultimately, these combined pressures are stoking the fires of a much-anticipated networking supercycle. As telecommunications providers, managed service providers, and enterprise technology leaders converge to solve the persistent challenges of uptime, legacy network retirement, and multi-vendor orchestration, the Internet of Things is poised to fulfill its original promise: serving as the resilient digital nervous system of the modern global economy.
