The top 10 industrial automation trends—as seen at SPS 2025

In short

• The IoT Analytics research team updated its list of top 10 industrial automation trends after attendance of SPS (the Smart Production Solutions fair) in November 2025 .
• IoT Analytics had a team of 4 analysts in attendance, together producing a 79-page event report.
• Key standout trends based on observations and extensive interviews with industry experts on-site include: Software-defined automation, Industrial AI, and edge AI.

Why it matters?

• SPS is one of the world’s most important industrial automation fairs. The showcased technologies are widely applicable to any industrial company.

Smart Production Solutions 2025

Software, IT, and AI took center stage at SPS 2025. Smart Production Solutions (SPS), a leading industrial automation exhibition fair encompassing a broad spectrum of digital and smart automation solutions, returned November 25–27, 2025, in Nuremberg, Germany. Attendance continued its upward trend, up 9% over 2024 at just over 55,000 people.

There were 1,175 exhibitors (a 5% climb over 2024), all showcasing their expertise and aiming to help companies understand and meet their challenges today and tomorrow. Traditional industrial automation themes (e.g., control, drive, and sensor technology) were largely present, but software, IT, and AI held significant focus. There was also a remarkable 41% jump in participation by Chinese vendors at the fair compared to 2024.

“SPS is a fixture on the automation industry’s calendar. If you don’t exhibit here, you don’t exist! Meanwhile, it doesn’t just offer maximum visibility; it’s an environment where key ideas are shared, which is indispensable in challenging times.”

Felix Kranert, Vice President Marketing DACH at Schneider Electric

IoT Analytics had a team of 4 analysts on the ground. The team visited over 80 booths and conducted over 60 individual interviews to get a handle on the latest industrial automation trends. This article only highlights some of the major takeaways; our research clients can refer to the 79-page SPS Fair 2025: The Latest Industrial Automation Trends report for other takeaways, further examples from those discussed below, key announcements, and insightful quotes from key industry automation players.

This article is derived from SPS 2025, a leading industrial automation exhibition

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10 industrial automation trends observed at SPS 2025

1. The industrial automation market is turning upward again

Industrial automation market upturn signals appear, but recovery remains uneven. Following a volatile 2025 notably marked by tariff uncertainties, SPS 2025 discussions and referenced indicators point to a gradual normalization in ordering and a more constructive setup for 2026, albeit with material macro risk still in view.

Siemens Digital Industries (DI), a business unit of Germany-based Siemens, positioned its year-end performance as a cyclical inflection. The business unit closed fiscal 2025 with 9% comparable growth in Q4 (to ~€5 billion), attributed to a 10% increase in automation revenue and 8% in software, despite a -4% comparable change for the full year, indicating the rebound is back-end loaded rather than broad-based. For fiscal 2026, Siemens DI expects 5–10% comparable revenue growth and a 15–19% profit margin, with management noting factory automation as a specific area for growth opportunity.

“The market is picking up, in particular in the factory automation space. Machine building still holds back a little bit. […] We see traction in the market for our new products, which we launched. We are about to launch 20 new ones, for example, IOs and they would even go global.”

Roland Busch, CEO, Siemens AG, on November 13, 2025 (source)

Germany-based Beckhoff similarly framed 2025 as volatile (strong Q2, weaker Q3), but argued that inventory-hoarding, which it claims distorted its previous revenue figures, has largely cleared. Following a 33% decline in 2024 tied to inventory correction, the company anticipated 7–10% overall growth in 2025 and a healthier trajectory into 2026.

Germany’s Association of the Electrical and Digital Industry (ZVEI)’s outlook data reinforced the “upward” narrative, citing a September order rebound that lifted year-to-date growth. However, the association cautioned that global trade barriers and geopolitical uncertainty remain persistent downside risks.

2. Software-defined automation is becoming an innovation priority

Software-defined automation (SDA) moving from “innovation topic” to platform strategy. SDA is a shift in industrial architecture by decoupling control software from proprietary hardware. At SPS 2025, it became clear to the team that the trend continues to gather steam, with several vendors (some for the first time) now actively pushing their own SDA roadmaps.

In Siemens’ framing, SDA is anchored in 3 pillars: 1) Industrial Edge as standardized software infrastructure, 2) virtualized control runtimes (vPLC), and 3) IT-like engineering via SIMATIC AX—explicitly linking the approach to both scalability and talent availability. The company highlighted that its vPLC runtime can now run on any x86 device and introduced an “entry-level” CPU 1511V to lower adoption barriers beyond high-end lighthouse deployments. Germany-based automotive company Audi, one of Siemens’ flagship customers, reported that Siemens’ vPLCs running at its Neckarsulm and Ingolstadt plants have been running for 6 months with 100% uptime.

US-based Rockwell Automation’s Logix Edge similarly signals a prioritization of software-centric control, with the Logix engine running as an isolated workload on an IPC (positioned to coexist with other edge workloads) and targeted for release in Q4 2026. Meanwhile, messaging from Germany-based Endress+Hauser indicated that the company views SDA as a shift toward treating field instruments as IT assets that are decoupled from hardware and remain update-ready in a manner similar to modern mobile devices.

3. First agentic AI demos and workflow creation tools are becoming visible

Vendors advancing generative AI (GenAI) toward autonomous agents. While vendors in general showcased multiple industrial GenAI copilots, the team noted that some vendors were moving beyond basic querying toward software that can plan, execute, and verify tasks across engineering and operations, with humans remaining in the loop for safety and approval.

France-based Schneider Electric positioned agentic AI as an autonomous engineering agent inside its EcoStruxure Automation Platform: agents convert user specifications/technical specs into control applications for EcoStruxure Automation Expert, supported by digital twin creation plus testing/simulation, and (in the more detailed demo description) tool-calling via an MCP framework for deployment, simulation, and unit testing—while keeping a human in the loop for final approval.

Meanwhile, Siemens demonstrated how its low-code Insights Hub Copilot Studio (introduced in March 2025) enables end-users to build and manage AI agents. Agents are created by defining system instructions (behavioral guardrails) within the workbench and then attaching modular “Skills” (modular, reusable task-capabilities, e.g., “analyze OEE”).

4. Edge AI is expanding beyond vision use cases

Integrated NPUs now enable edge analytics. Edge AI exhibits atSPS 2025 showed a clear shift toward embedding NPUs directly into IPCs and controllers, enabling real-time inference locally without cloud latency or bandwidth costs. This fills the performance and cost gap between CPU-only analytics at the low end and GPU-based workloads at the high end. Additionally, the report’s analysis of the various edge AI stacks observed at the fair found that use cases are moving beyond traditional vision applications, including safety-critical vision, diagnostics, and troubleshooting/support use cases.

Germany-based Bosch Rexroth extended its ctrlX CORE with a Hailo-8 M.2 module (and highlighted optional NVIDIA GPU extensions on ctrlX IPCs) to run AI workloads directly alongside real-time control tasks, including safety-/compliance-adjacent vision use cases like near-miss and PPE monitoring without cloud streaming. WAGO, also based in Germany, similarly demonstrated an IPC-based vision workflow accelerated by a Hailo-8 M.2 NPU; notably, the same IPC can host a virtual PLC runtime, implying a converged edge platform where AI monitoring and control logic coexist locally.

Regarding use cases, Beckhoff expanded its TwinCAT Machine Learning Creator from vision toward time-series automation signals, enabling engineers to label cyclic data and trigger training with minimal effort (e.g., classifying tool–workpiece engagement using internal signals). Likewise, Taiwan-based Advantech showcased edge IPC platforms positioned not only for vision but also for on-device LLM/VLM-style workloads to support troubleshooting and technician workflows.

5. The edge AI software stack is maturing

Edge AI: From AI hardware to full AI pipeline ownership. Industrial automation vendors are building end-to-end edge AI software stacks that cover data ingestion, application packaging, deployment, and operations, typically using containerized delivery to keep the AI application layer portable across IPC/edge-server hardware options. In that context, differentiation is increasingly becoming “who owns the AI deployment pipeline” (distribution, versioning, and lifecycle controls) rather than who sells the compute box.

Advantech highlighted packaged stacks plus on-device continuous learning. The company framed its WISE-Edge as a containerized software layer (with SDKs/APIs) for deploying and managing industrial AI workloads as pre-integrated, application-ready platforms, reportedly reducing custom integration effort and enabling repeatable scaling. It also demonstrated local annotation and retraining on the device (including federated learning approaches) and highlighted its partnership with eNeural’s eSL Craft for “self-learning” edge workflows where models can be updated without pushing raw data to the cloud.

Meanwhile, Beckhoff promoted engineer-driven training into standard PLC workflows. The aforementioned expansion of TwinCAT Machine Learning Creator from vision into time-series signals helps engineers label cyclic automation data and trigger training “with a single click,” generating a deployable model artifact alongside corresponding PLC code.

6. Industrial DataOps and unified namespace are becoming more widespread

Vendors continue to sharpen their UNS offerings. The exhibition highlighted a shift in technical maturity as the UNS is now maturing beyond just MQTT connectivity. As the industrial DataOps space matures, vendors are leveraging high-throughput backends (such as Kafka and NATS), integrating historical data with real-time streams, and introducing architectural modularity (independent, decoupled data nodes that scale hierarchically).

Germany-based United Manufacturing Hub (UMH) demonstrated “stream + history” convergence, enabling UNS to be usable at scale. It mirrored an entire namespace into a SQL database with identical naming conventions, so historical queries (e.g., prior shifts/weeks) became as accessible as real-time streams, which can enable downstream business intelligence usage via familiar SQL tools rather than bespoke stream processing.

i-flow, a Germany-based industrial DataOps company, presented a modular, multi-tier UNS design bridging edge-level factory nodes to enterprise brokers. By leveraging the NATS protocol as a high-performance messaging backbone, the architecture enables horizontal scaling across distributed sites. This setup supports data contextualization either on a per-use-case basis or by mapping data to standardized ISA-95/ISA-88 payload structures per asset type.

7. Physical AI emerges as a forward-looking industrial narrative

Physical AI being framed as the next step after agentic workflows. At SPS 2025, so-called physical AI surfaced as a forward-looking narrative for applying AI models (including LLM-driven reasoning) to perception and higher-level decision-making in systems that act in the physical world, while conventional automation layers continue to execute deterministic control and safety functions.

Beckhoff demonstrated a physical AI setup in which an LLM guided a Beckhoff ATRO robot playing board games. The ATRO modular robot arm was used to play Scrabble and Chess against a human opponent, with a camera capturing the game board and sending the video stream to a large language model that interpreted the board position and suggested the next move in text form. TwinCAT CoAgent wrapped this LLM interaction and passed the move to the automation system via MCP, while the existing PLC and motion control on a C6043 IPC with an NVIDIA GPU executed the robot motion. The control code remained unchanged when switching between games, illustrating that AI-based perception and reasoning can be adapted without re-engineering vision algorithms or motion programs.

8. Single Pair Ethernet and Ethernet-APL are becoming standardized

Single Pair Ethernet (SPE) and Ethernet-APL standardization signal major connectivity advances. SPE is being repositioned from a technically promising but commercially slow technology into a scalable industrial connectivity option, driven by connector standard consolidation. Industry bodies and ecosystem players, including the SPE Industrial Partner Network and the Single Pair Ethernet System Alliance, have aligned on IEC 63171-7 as the common industrial SPE connector standard, resolving the compatibility deadlock that previously slowed product roadmaps and enabling vendors to design SPE interfaces with confidence that they will be interoperable across suppliers and applications.

Germany-based Rosenberger’s booth presentation positioned SPE as “the key technology for Industrial IoT,” showcasing complete SPE link implementations from sensors through switches to higher-level networks. Its volume-ready IEC 63171-7 portfolio marks a move away from SPE’s pilot phase, offering OEMs the industrial-scale supply needed for mass-market adoption.

Meanwhile, Ethernet-APL switch vendor messaging appears to be shifting from architecture diagrams to deployable field-switch products and the commissioning and operations workflows needed for plant rollout. Vendors are positioning the APL field switch as the anchor that connects 10BASE-T1L field devices into the Ethernet control network.

At the fair, Taiwan-based Moxa demonstrated its TWS-3010-APL-8PS-2GC-T (TWS meaning two-wire switch). The company emphasized the process-grade performance of its switch, offering 10 Mbps data and power over 1,000 meters. The technology is purpose-built for hazardous zones, utilizing intrinsically safe design to provide high-speed connectivity in potentially explosive environments.

9. Industrial OEMs are seeing the data center segment as a new growth vertical

Automation vendors target data center infrastructure. Driven by the explosive growth of AI compute, leading automation vendors are extending their industrial portfolios into the data center segment. These vendors see significant automation value in data center support systems, such as cooling loops, pumps, power auxiliaries, and redundancy layers, where uptime requirements and operational complexity more closely resemble those of high-availability industrial environments than those of traditional building automation.

Schneider’s approach centers on scaling thermal management and integrating it with high-availability control, with the company’s executives describing the segment as strategically critical. The portfolio focus is specialized cooling infrastructure, explicitly leveraging acquisitions such as MotiveAir (liquid cooling) and Uniflair for cooling distribution units (CDUs), combined with redundant control and building automation to target near-zero downtime. Partnerships (including NVIDIA and APC) and a cited order backlog were used to substantiate near-term demand, with the U.S. identified as the largest growth region.

Siemens is positioning data centers as “AI factories,” emphasizing redundancy plus IT/OT scale. The company highlighted redundant control (e.g., S7-1500H) for high-availability power/cooling and positioned WinCC OA as an IT/OT layer suited to hyperscale data-point volumes. Switzerland-based ABB also reinforced its data center presence, spanning electrical distribution, liquid-cooling components, and automation services, along with a shift toward DC grids. This signals that this vertical is becoming a multi-vendor battleground across the power-to-cooling stack.

10. OT security enforcement is shifting closer to the industrial assets

OT cybersecurity vendors are moving security architecture from perimeter-centric monitoring to “in-network” enforcement, closer to critical controllers. This reflects the reality that many OT incidents spread laterally inside plant networks, where segmentation gaps and legacy constraints are hardest to manage through security operations center (SOC)-only visibility. This move is also being reinforced by regulatory pressure (explicitly referenced via NIS2 and the Cyber Resilience Act) and by emerging zero-trust design principles that prioritize enforceable policy controls near the assets.

Note: IoT Analytics’ recently published 5 AI and IT/OT convergence trends affecting OT cybersecurity, based on the 49-page OT Cybersecurity Insights Report 2026 (published December 2025).

Taiwan-based TxOne emphasized OT-native intrusion prevention at lower Purdue layers, placing EdgeOne and EdgeIPS products inline in a network defense layer adjacent to PLCs to separate PLC-side traffic from SCADA-side systems and other subsystems. This enforces segmentation and blocks threats close to the process rather than only detecting them upstream. Meanwhile, US-based Fortinet reinforced a zone-based approach across field/control/process/DMZ layers, positioning ruggedized firewalls and switches as the backbone for consistent segmentation and policy enforcement. The implied operational takeaway is that scalable OT security programs increasingly standardize on repeatable “infrastructure patterns” (security + switching) across sites instead of bespoke point solutions per asset class.

Comparison of edge AI showcases (Insights+)

Comparing the various edge AI solutions at SPS 2025, the team noted 2 general trends in the report:

Note: This article was updated in January 2026 to include the latest market data and insights from IoT Analytics.

Click to read previous analyses

Article written by Anand Taparia on December 12, 2023

The top 10 industrial automation trends—as seen at SPS 2023

Smart Production Solutions 2023

Smart Production Solutions (SPS), a coveted industrial automation exhibition fair encompassing a broad spectrum of digital and smart automation solutions, returned in November, with attendance trending back toward pre-COVID numbers. The event took place from 14 to 16 November 2023 in Nuremberg, Germany. Attendance was up 14% (at just over 50,000) over 2022, though it was still 21% lower than 2019—the last SPS event before the COVID-19 pandemic.

There were 1,229 exhibitors—a 23% climb over 2022—all showcasing their expertise and aiming to help companies understand and meet their challenges today and tomorrow. While traditional tech themes (e.g., control, drive, and sensor technology) were largely present, software and IT took center stage.

“The SPS is still considered the leading automation industry event. The trade fair sets the pace for the market and is the highlight of the year.”

– Steffen Winkler, CSO Automation Business Unit at Bosch Rexroth AG

IoT Analytics had a team of five analysts on the ground. The team visited over 75 booths and conducted over 50 individual interviews to get a handle on the latest industrial automation trends. This article only highlights some of the major takeaways—our research clients can refer to the 75-page SPS Fair 2023—The Latest Industrial Automation Trends report for other takeaways, further examples from those discussed below, key announcements, and insightful quotes from key industry automation players.

Click here to read our coverage of SPS 2022, focusing on IT/OT convergence.

10 industrial automation trends observed at SPS 2023

At SPS 2023, we observed 10 trends indicating an expansion in industrial automation solutions. Here are brief summaries of each from our SPS 2023 report.

1. Solutions that enable flexibility

Over the last three years, manufacturers have battled unforeseen demand shifts, drastic supply constraints, and a variety of workforce challenges. Several exhibitors at SPS 2023 highlighted the increasing necessity for flexibility in manufacturing to adapt to dynamic market conditions. For example, German technology conglomerate Siemens showcased its digital twin, emphasizing flexibility by enabling engineers to quickly change machine configuration details during design and validation.

Similarly, German engineering firm Bosch Rexroth’s DeviceBridge exemplified seamless connectivity solutions, while French software company Dassault Systèmes’ 3DEXPERIENCE demonstrated the modularization of software—all contributing to more adaptable and resilient manufacturing processes.

2. IT/OT convergence

In our coverage of SPS 2022, we focused on IT/OT convergence trends. This convergence comes in many forms, and this year, we saw many of those forms on display at exhibits. Two forms that particularly stood out were industrial data ops and hardware-independent control systems.

US-based industrial automation vendor Rockwell Automation exemplified industrial data ops with DataMosaix, which it released a week before SPS as part of its FactoryTalk Hub. The solution integrates data from various sources, including gateways, historians, MES/MOM, PLM, and enterprise systems. Additionally, US-based industrial software company HighByte demonstrated its latest Intelligence Hub (V3.2, released in late September) at the AWS booth. This version supports Unified Namespace (UNS) and expands data pipeline capabilities like sequencing transactions with MES and ERP systems.

Regarding hardware-independent control systems, several OEMs highlighted their advances in developing and enhancing their hardware-decoupled PLC runtimes—either vPLC or soft PLC. For vPLCs, Siemens demonstrated their SIMATIC S7-1500V, a virtual version of its physical SIMATIC S7-1500 PLC that mirrors functionality but is independent of hardware. Meanwhile, Codesys discussed its upcoming containerized vPLC solution, Virtual Control SL. Codesys plans to release this solution very soon.

For soft PLCs, Phoenix Contact, a Germany-based industrial automation company, showcased its PLCnext Control solution. This solution utilizes a Linux kernel with the PREEMPT_RT patch and YOCTO toolkit to create a real-time runtime system on its hardware. However, Phoenix Contact plans to release a Docker image of the runtime that can be used independently of its hardware, turning this solution into a vPLC.

These were only two aspects of the many that we witnessed at the fair, and research clients can read more about the others in the full report.

3. Increasing emphasis on environmental sustainability

A significant shift towards sustainability was evident. With sustainability and energy transition remaining key topics in company boardrooms in 2023, we were not surprised to see a notably larger emphasis on sustainability at SPS 2023.

France-based automation vendor Schneider Electric placed sustainability in the spotlight at its booth—for example, it showcased a use case for machine vision and AI in recycling chips from electrical devices. Meanwhile, Catena-X’s board members explained that there is a growing demand for visibility on carbon emissions across the supply chain and discussed its open data ecosystem designed to meet that demand.

4. Energy management becoming a bigger priority

Beyond just sustainability, industrial automation vendors also shared energy management solutions at their booths. These solutions aim to help manufacturers meet the EU’s 2030 sustainability goals and regulations and those of other regions and countries they operate within. The EU’s Renewable Energy Directive (EU/2023/2413) requires member states to meet a 55% reduction in greenhouse emissions and a minimum of 42.5% share of renewable energy sources by 2030. To achieve these goals, the EU has imposed stricter environmental regulations on manufacturers, requiring them to adopt energy-efficient solutions or face penalties.

Japan-based automation equipment manufacturer FANUC showcased its new αi-D (“alpha i”) series SERVO motor system, offering high-speed and high-precision performance with less energy consumption. Additionally, Michael Koch, a Germany-based energy management systems provider, demonstrated its line of active energy management devices—Pxt. These devices are designed to manage breaking energy, bridge power failures, compensate voltage dips, reduce mains load peaks, increase energy efficiency, and enable controlled stops on power failure.

5. Generative AI solutions in industrial applications popping up

Generative AI emerged as the key 2023 trend. While the 2022 SPS fair did not have a generative AI showcase, our team identified 14 different AI showcases this year, though there were likely more.

Germany-based Beckhoff‘s TwinCAT Chat demonstrated AI’s role in coding, Bosch Rexroth‘s AIRO assistant in support/troubleshooting, and Siemens‘ Industrial Copilot in operational analytics—among other things. Unsurprisingly, Microsoft and OpenAI are behind most of these solutions. However, major cloud provider AWS—with its Amazon Bedrock offering—also presented its technology at the fair, highlighting the growing field of generative AI providers and integration into industrial settings.

Keep an eye on our research blog and reports pages for our upcoming Generative AI Market Report 2023–2030, expected to be released in mid-December 2023.

6. Integration of AI accelerators into industrial hardware

We found that AI accelerators are increasingly being built into industrial hardware, enabling AI-driven operations like machine vision or process optimization. In collaboration with machine vision software provider MVTec and machine vision hardware supplier Basler, Siemens showcased AI-accelerator use for machine vision applications. Additionally, French energy management and automation company Schneider Electric presented its integration of Hailo’s AI accelerators in some of its solutions, and Beckhoff shared its new IPC C6043, which leverages an NVIDIA RTX A4500 GPU. These represented further advancements in embedding AI capabilities directly into industrial equipment.

7. Rising importance of cybersecurity regulation and certification

Generally, there appeared to be a growing alignment with the IEC 62443 cybersecurity standard and more commitment to OT cybersecurity than in past fairs. Recent geopolitical events have raised the need for transparency in cybersecurity, and the upcoming widespread EU adoption of the NIS2 Directive has companies looking for proactive measures to meet the regulation. At the fair, Japan-based robotics vendor Yaskawa announced it had received 62443-4-1 certification, and Phoenix Contact showcased its IEC-62443-4-1–certified mGuard routers—both of which serve to demonstrate this trend toward heightened cybersecurity measures.

8. Wireless connectivity innovations in industrial spaces

OEMs had new wireless connectivity innovations geared toward industrial spaces on display this year, particularly new industrial 5G products. Phoenix Contact unveiled the TC ROUTER 5004T-5G EU for industrial 5G applications, and Siemens showcased its Private Industrial 5G infrastructure, which is suited for challenging industrial settings. Underscoring the growing role of wireless technologies in industrial environments, sensor and automation technology provider Autosen introduced its io-key wireless IoT gateway for remote sensor data monitoring, and Phoenix Contact demonstrated its NearFi technology, which enables contactless transmission of power and data.

9. Synchronization of software and chip designs for enhanced performance

Our team noted the synchronization of software and chip designs as an emerging trend. Indeed, the industrial automation ecosystem appears to be coming together to enhance hardware and software performance, with software companies optimizing specifically for specific chip architectures and different vendors.

Beckhoff unveiled its TwinCAT MC3, which allows for parallelization of motion control on different chip cores. Siemens shared how it collaborated with virtualization tech company VMWare and semiconductor chip manufacturer Intel to reduce latency in virtual PLC setups, highlighting a strategic alignment between hardware and software capabilities in industrial technology.

10. Solutions addressing labor and skill shortages

Several senior executives highlighted the industrial sector’s response to the significant labor and skill shortages. German software startup Wandelbots pitched its robot programming software around the labor shortage, while Siemens’ showcasing of the aforementioned Mendix software addressed making software development more accessible and easing skill shortages—programming, in this case—in manufacturing.

Where do we go from here?

In 2022, IoT Analytics estimated the broader overall industrial automation market—including industrial software and OT—to be $247.7 billion (our updated Industrial Software Landscape report is scheduled for release in Q1 2024). The industry is very dynamic, and trends and solutions such as the ones highlighted above are helping propel the market forward, possibly toward $422 billion by 2027.

This year’s theme of “Automation meets IT” could be the theme for years to come, as only the combination of both (also often referred to as IT/OT convergence) will help address many of the industry’s challenges. In general, we observed that exhibitors highlighted common challenges that their customers face, e.g., labor shortages and cybersecurity. We also observed an increased awareness of sustainability targets and energy footprints. The new generative AI wave is the latest excitement in the industry that may be able to help in support or coding use cases.

Our prediction for SPS 2024 is that we will see both the first virtual PLCs and the first industry-geared generative AI solutions that can be purchased from a store. Along with these, we hope to see further advancements toward sustainability and cybersecurity.

Disclosure

Companies mentioned in this article—along with their products—are used as examples to showcase market developments. No company paid or received preferential treatment in this article, and it is at the discretion of the analyst to select which examples are used. IoT Analytics makes efforts to vary the companies and products mentioned to help shine attention on the numerous IoT and related technology market players.

It is worth noting that IoT Analytics may have commercial relationships with some companies mentioned in its articles, as some companies license IoT Analytics market research. However, for confidentiality, IoT Analytics cannot disclose individual relationships. Please contact compliance@iot-analytics.com for any questions or concerns on this front.

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