Executive Summary
Enterprise Internet of Things (IoT) in Latin America is evolving from isolated deployments toward integrated, intelligent operations as artificial intelligence (AI), expanding connectivity options, and cybersecurity requirements are reshaping connected infrastructure. Organizations are leveraging IoT to strengthen industrial automation, workforce safety, operational efficiency, and critical infrastructure management. However, legacy system integration, operational costs, and cybersecurity risks are continuing to challenge large-scale adoption. These developments are creating Growth Opportunities across adaptable connectivity architectures, interoperable platforms, and AI-enabled operations that support measurable business outcomes.
With 50% of surveyed organizations in Latin America still implementing small-scale IoT projects, the opportunity to expand connected operations is significant. Yet, scaling these deployments requires enterprises to address fragmented infrastructure, legacy system integration, and evolving cybersecurity risks while demonstrating operational value.
These priorities formed the core of Frost & Sullivan’s recent Growth Webinar, Advancing IoT from Deployment to Intelligent Scale: Securing IoT Growth with Cybersecurity and AI, which explored how enterprises can move beyond individual implementations toward more secure, intelligent, and scalable IoT operations.
The session brought together the following Growth Experts:
Renato Pasquini
Research Vice President – Information & Communications Technology Frost & Sullivan
Cecilia Perez
Industry Analyst – IoT & Edge, Frost & Sullivan
Fabio Hashimoto
Chief Technology Officer, Logicalis Brasil & Digital Strategy; Advocacy LatAm Director, Logicalis
The webinar explored the strategic challenges and growth opportunities shaping enterprise IoT adoption across Latin America, from industrial automation and integrated connectivity to AI-enabled operations, smart infrastructure, and cybersecurity. Here are the key highlights:
Closing the Gap Between IoT Adoption and Enterprise Scale
Three challenges continue to influence adoption:
- Security and data protection: Protecting connected devices, enterprise information, and increasingly integrated operational systems.
- Integration complexity: Connecting new IoT applications with existing Information Technology (IT) infrastructure, legacy Operational Technology (OT) systems, and private networks.
- Connectivity costs: Managing network investments across different deployment environments and application requirements.
The shift is particularly relevant for industrial enterprises integrating IT and OT environments. While convergence can simplify operational management and facilitate automation, it also increases the importance of securing previously isolated systems.
Transforming IoT into Measurable Business Value
Enterprise IoT applications are expanding beyond basic connectivity. The webinar highlighted several real-world implementations demonstrating how connected systems are addressing specific operational requirements.
- Predictive Maintenance Is Advancing Industrial Decision-making
Industrial maintenance is increasingly incorporating machine-generated information rather than relying exclusively on predetermined service schedules.
A deployment involving Renault demonstrated how vibration sensors, dedicated connectivity, and machine learning-based systems can support maintenance decisions based on actual equipment conditions.
The operational value lies in:
- Condition-based maintenance: Using vibration information alongside traditional maintenance parameters.
- Connected industrial systems: Transmitting sensor information through dedicated infrastructure.
- Better maintenance decisions: Providing operational teams with additional information about equipment conditions.
However, secure network integration and demonstrating sufficient return on investment remain important considerations when expanding these implementations.
- Connected Workforce Safety Is Strengthening Industrial Operations
Employee tracking is another application gaining relevance in industrial environments where operational hazards require greater visibility.
A deployment involving a major Latin American steel producer demonstrated how wireless devices and mesh networks can provide location information across industrial facilities.
The application supports:
- Employee safety: Identifying worker locations in potentially hazardous operating areas.
- Operational visibility: Understanding movement and time spent across different production zones.
- Emergency response: Supporting monitoring and detection of unusual activity that could indicate safety incidents.
Connected safety applications are becoming particularly relevant as industrial enterprises place greater emphasis on risk management and sustainability.
- Critical Infrastructure Is Expanding Secure Remote Operations
Electricity distribution infrastructure is also incorporating connected systems to support remote monitoring and operations.
A project involving a major Brazilian electricity distributor demonstrated the role of cybersecurity and connectivity in protecting industrial automation systems.
Key capabilities included:
- Network segmentation: Separating connectivity environments to safeguard sensitive systems.
- Active monitoring: Identifying abnormal communications between devices and operational systems.
- Managed security: Supporting ongoing protection through security operations center services.
These capabilities are becoming important as utilities expand remote operations while maintaining control over critical infrastructure.
What strategic shifts could redefine your competitive advantage?
- Smart Cities Need Integrated Infrastructure to Unlock Greater Value
Smart city projects demonstrate both the benefits and limitations of application-specific IoT deployments.
Connected streetlighting in Belo Horizonte, Brazil, enabled remote lighting management and contributed to improved public lighting conditions and electricity savings.
However, extending dedicated infrastructure to additional applications proved challenging because of device compatibility limitations.
This reflects a broader challenge: individual city departments may implement separate networks and platforms that are difficult to reuse across other municipal services.
The opportunity lies in developing more integrated infrastructure that can support multiple applications rather than remaining limited to one deployment.
Potential benefits include:
- Infrastructure utilization: Supporting several city services through shared, compatible platforms.
- Improved investment economics: Distributing infrastructure costs across additional applications.
- Application expansion: Enabling services such as waste management, public cleaning, and flood prevention.
- Revenue generation: Creating opportunities for additional services that may support municipal revenue.
For city authorities and technology providers, the long-term value of connected infrastructure increasingly depends on its ability to accommodate additional applications.
- Scaling Enterprise IoT Through AI, Connectivity, and Cybersecurity
The convergence of AI and IoT is creating opportunities to make connected information more useful across enterprise operations.
Machine learning has supported industrial applications for years, but the growing adoption of generative AI is introducing new possibilities for interacting with operational systems, analyzing information, and supporting decisions.
An important development is the integration of AI capabilities directly into existing enterprise applications and automation platforms.
This evolution is influencing three areas:
- Operational intelligence: Using connected information and AI capabilities to support production optimization and decision-making.
- Simplified interaction: Making operational information more accessible through AI-enabled interfaces.
- Integrated automation: Incorporating intelligent capabilities into existing systems rather than relying entirely on standalone applications.
As AI becomes more deeply integrated into industrial systems, new IoT applications may become easier to implement and operate within existing processes.
- Established IoT Applications Will Continue Driving Growth
While AI-enabled applications are emerging, traditional use cases remain important sources of connected-device demand.
- Automotive and telematics: Continuing to support cellular IoT adoption.
- Smart metering: Benefiting from connectivity options such as Narrowband Internet of Things (NB-IoT) and public networks.
- Industrial automation: Incorporating connected capabilities into existing equipment and systems.
- Smart city applications: While this is continuing to develop, scalability remains dependent on ecosystem maturity and infrastructure compatibility.
An important transformation is already underway: capabilities once deployed as separate IoT projects are increasingly becoming standard features within existing operational systems.
This is changing how enterprises evaluate and implement connected technologies.
- Enabling IoT Scale Through Flexible Connectivity
As enterprises IoT deployments, selecting the right connectivity infrastructure is becoming critical to managing costs, integration complexity, and operational requirements. The growing availability of cellular, low-power, and satellite networks is providing greater flexibility across industrial and commercial applications.
- 4G and 5G networks: Supporting cellular connectivity and private industrial network deployments.
- Low-power Wide-area Network (LPWAN) technologies: Narrowband Internet of Things (NB-IoT) and Long Range Wide Area Network (LoRaWAN) supporting applications such as smart metering, agriculture, and smart cities.
- Satellite and hybrid connectivity: Extending coverage to geographically dispersed operations through terrestrial and non-terrestrial networks (TN-NTNs).
- Integrated platforms and managed services: Simplifying device management, application monitoring, maintenance, and security across connected environments.
The opportunity lies in reducing dependence on isolated infrastructure, improving network flexibility, and enabling enterprises to scale applications across existing systems while strengthening the economics of deployment.
Explore the Technologies Enabling IoT Growth
How are evolving connectivity technologies and platforms shaping enterprise IoT scalability? Explore Frost & Sullivan’s latest insights:
- Cybersecurity Is Becoming Essential to Operational Continuity
As IoT expands across industrial and critical infrastructure, cybersecurity is becoming closely connected to operational resilience. Unlike conventional IT environments, a compromised industrial system can affect physical equipment, essential services, and business operations.
The webinar highlighted how connected cameras, sensors, utility systems, and industrial controllers can introduce vulnerabilities when security controls are insufficient. AI is adding another dimension to this challenge, with the potential to accelerate vulnerability discovery and increase the sophistication of attacks.
Four capabilities are particularly relevant to securing connected operations:
- Network architecture and segmentation: Isolating sensitive systems and limiting unauthorized movement between connected environments.
- Vulnerability and patch management: Strengthening device protection through firmware updates, security controls, and automated processes where appropriate.
- AI-supported threat detection: Improving the identification of suspicious activity and supporting faster responses.
- Operational recovery: Establishing disaster recovery plans, ransomware protection, employee training, and immutable backups.
The business implications extend beyond protecting enterprise information. Disruptions to industrial controllers, refrigeration systems, or electricity infrastructure can directly affect service delivery, assets, and customers.
Operational resilience and Zero Trust are therefore becoming important considerations in how enterprises design and expand IoT infrastructure.
- Simplifying Connectivity Will Be Important to IoT Scalability
IoT infrastructure is becoming more capable, but managing different networks, devices, applications, and security requirements can also increase operational complexity.
The webinar emphasized the importance of simplifying connectivity management, including software-based capabilities and easier movement between networks.
Several developments are influencing this transition:
- Network flexibility: Supporting different connectivity technologies according to application requirements.
- Platform integration: Incorporating connected capabilities into established industrial and cloud environments.
- Managed services: Supporting deployment, monitoring, maintenance, and security across connected operations.
- Hybrid connectivity: Extending options through TN-NTNs.
For enterprises, this changes the focus from deploying additional connected devices to ensuring that connected systems can operate effectively within existing workflows.
Where should enterprises focus their investments to unlock the next wave of IoT innovation?
The Future of Enterprise IoT Is Integrated, Intelligent, and Secure
The next phase of IoT growth in Latin America will depend on overcoming the connectivity, integration, and security challenges that limit deployment at scale. As established applications such as smart metering, industrial automation, and connected infrastructure continue to expand, the opportunity lies in reusing existing networks, integrating new capabilities into operational systems, and improving the economics of deployment while safeguarding business-critical operations.
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1. What is the difference between IoT and Industrial IoT?
The Internet of Things (IoT) connects physical devices to collect and exchange information across consumer, commercial, and industrial environments. Industrial Internet of Things (IIoT) focuses specifically on equipment, machinery, and operational processes. IIoT deployments typically require greater reliability, availability, and integration with industrial control systems because connectivity failures can directly affect production and safety.
2. What is the difference between IT and OT in Industrial IoT?
Information Technology (IT) manages enterprise applications, information systems, and business networks, while Operational Technology (OT) monitors and controls physical equipment and industrial processes. In industrial IoT environments, IT and OT integration enables operational information to support enterprise decisions. However, differences in system lifecycles, protocols, and availability requirements must be considered during integration.
3. How can enterprises calculate the ROI of an IoT deployment?
IoT return on investment (ROI) can be calculated by comparing measurable financial benefits against implementation and operating costs. Benefits may include reduced equipment downtime, lower maintenance expenditure, energy savings, or improved productivity. Enterprises should account for connectivity, hardware, software, integration, and ongoing support costs while establishing a baseline and realistic evaluation period.
4. What is the difference between edge computing and cloud computing in IoT?
Edge computing processes information close to connected devices, reducing the need to transmit every reading to centralized infrastructure. Cloud computing provides scalable resources for storage, analytics, and application management. Many IoT architectures combine both approaches, using edge systems for time-sensitive processing and cloud platforms for broader analysis, historical information, and centralized administration.
5. How do enterprises choose between public and private 5G networks for IoT?
Public 5G networks use operator-managed infrastructure and may suit geographically distributed applications. Private 5G networks provide dedicated connectivity with greater control over network configuration and operational requirements. Enterprises should evaluate coverage, device density, latency, security policies, deployment costs, and service-level expectations before selecting an approach. Hybrid arrangements may also address differing operational needs.





