Total sales volume, year-over-year growth, product categories, and market share.
Revenue Estimation
Forecasting future revenues based on historical data, market trends, and economic indicators.
Sales by Region
Breakdown of sales performance across different geographical areas.
Revenue by Manufacturer
Analysis of revenue contributions from different manufacturers in the market.
IoT Cloud Platform Market Definition
The IoT cloud platform market deals with providing services that utilize IoT devices and cloud computing services to offer end-to-end platform services, including data collection, analysis, and storage. The rising number of IoT-connected devices, cloud-based data, and advanced technologies like AI, 5G, and big data expand the market for IoT cloud platforms. In addition, adopting IoT cloud platforms in the healthcare sectors is leading to high efficiency, scalability, and high-reliability data, which allows the easy storage of records of all the patient's documents and images. In August 2024, Ranial Systems launched its cloud-independent cognitive IoT runtime platform, CogniIoT, which combines software and hardware to enhance real-time process, automation, monitoring, control activities, and operational intelligence with better efficiency, reducing downtime, minimizing failures, and lowering cost.
The rising adoption of smart connected devices across several industries like healthcare, logistics, manufacturing, and other sectors to optimize operations, improve productivity, and help in predictive maintenance drives the market for IoT cloud platforms. Moreover, implementing advanced technologies like artificial intelligence, machine learning, and edge computing with IoT cloud platforms offers better data processing, high speed, low latency connectivity, and real-time IoT solutions that positively impact the IoT cloud platform market. For instance, in March 2024, XL Axiata, in partnership with Cisco, launched a cloud-based Internet of Things connectivity management platform that aims to address the increasing complexity of large-scale IoT deployments due to the several devices and their varying technological complexities in areas like cybersecurity. It uses AI-powered anomaly detection, real-time device monitoring, and analytics that help accelerate IoT use.
Download
Order Databook
Actionable Solutions
