Regarding the maturity of organizations in IoT implementation, 48% are carrying out projects and obtaining results, 29% have it operational in different areas of the company, 14% are in the pilot phase, and 10% are in the planning stage. Obstacles are another area analyzed. 48% express uncertainty about how to progress, 43% about regulations and their changes, 48% perceive little support from management, and 24% see an immature market. 52% perceive a lack of skills, and 43% consider connectivity a barrier.
Another element assessed is what type of organization is best suited to providing IoT solutions. Here, with 43% the weight falls on IoT specialists, followed by those dedicated to vertical markets with 38%, large consulting services with 33%, network specialists with 29%, internal experts with 24% and finally contracted service providers with 19%.
The investment objectives are a key focus of the study. 57% believe it will increase productivity and workflow efficiency. 52% cite the importance of deeper data analysis in decision-making. 43% mention two aspects: greater safety and improved team health policies, as well as better customer support and service. And 33% believe that efficiency will be gained through machine-to-machine process automation.
Business opportunities are a key element when considering investment in IoT solutions. 33% believe it offers better profitability for products and services, thereby attracting more customers and clearly differentiating them from competitors. A surprising 19% consistently agree on three points: first, that customers are willing to pay for extra premium services; second, that selling data to third parties is perceived as valuable; and third, that retailers increase their customer base.
ROI, Leaders, and Alignment with Other Technologies:
The return on investment is estimated at 43% within a few years of development, 29% in one or two years, 19% in two or three years, and 10% in more than 10 years. The profile within the company that will lead IoT projects is closest to IT (38%), followed by Business Development (24%), relevant business lines (24%), and finally, CxO (14%). Regarding how the IoT implementation strategy aligns with technologies such as analytics and AI, 52% see analytics as highly interconnected, and 67% see AI as closely linked.
Retail and Manufacturing
are presented as two key markets for IoT. In retail, it is seen as fundamental for security and marketing purposes, thanks to people counting, segmentation by gender and age, detection of family groups, detection of waiting times, personalized advertising, heat maps, and people traffic analysis, which allow for understanding customer behavior. In manufacturing, real-time, automated monitoring of critical plant asset variables is essential for detecting anomalies and performing predictive maintenance. Furthermore, process optimization and traceability of assets, raw materials, and products are also key for this sector.
