Search results for: 'global 2024 2030'

Disruptive technologies, such as innovative business models (e.g., neutral network hosts, satellite partnerships, and open-source collaboration) and the use of AI and GenAI in IoT, will shape the future of the IoT and edge industry. This was the key message delivered by participants in the IoT Solutions World Congress (IoTSWC), held at Fira Barcelo...

In Latin America, businesses are increasingly adopting cloud computing, artificial intelligence (AI), and machine learning technologies to support their strategic growth. Digital transformation remains strong, with the cloud solidifying its role as a cornerstone of innovation and efficiency across various industries and critical business segments i...

Enterprise awareness and adoption of artificial intelligence (AI) have accelerated significantly worldwide. Advances in AI technologies, combined with increased accessibility, are enabling businesses to integrate AI seamlessly into their operations. Nearly 90% of IT and business decision-makers recognize AI and machine learning as critical to achie...

About 87% of enterprises believe that artificial intelligence (AI) and machine learning (ML) are important in achieving business goals centered around growing revenue, increasing operational efficiency, and boosting customer experience. However, where are global organizations in this journey and what are their adoption drivers and restraints This F...

Cloud forms a critical part of the digital transformation efforts of enterprises worldwide. Cloud infrastructure, platforms, and applications extend the benefits of flexibility, scale, and cost to IT and business teams. Yet, year after year, we find that organizations report managing costs in the public cloud as a major challenge. Consequently, int...

AI holds the potential to deliver significant benefits to economies and societies—from enabling new business models and driving operational efficiencies to providing accurate predictive outcomes. As AI technology implementation shifts gears—from the proof-of-concept stage to enterprise deployment—failing to implement an enterprise-wide AI strategy ...

With the emergence of generative AI (GenAI), embedded SIM (eSIM), and satellite networks, the Internet of Things (IoT) space is undergoing a profound transformation. In response to these emerging trends, this study provides an overview of the traditional cellular IoT, massive cellular IoT, and non-licensed low-power wide area network (LPWAN) market...

Frost & Sullivan defines non-licensed low-power wide-area network (LPWAN) connection as active devices connected to a wireless communication network designed for low-bandwidth, long-range data transmission over an unlicensed spectrum. This type of technology connects IoT devices with low power consumption and low data rates and covers large areas. ...

The Economic Trend Opportunity Profiles (TOPs) series captures a structural shift in the global economy where national competitiveness is increasingly defined by control over AI capabilities, digital infrastructure, industrial capacity, and secure data ecosystems. Across AI-led productivity, smart manufacturing, digital risk, sovereign compute infr...