Asia-pacific Iot In Energy & Utility Application Market Forecast 2024-2032
The Asia-Pacific IoT in energy & utility application market is expected to grow with a CAGR of 11.32% during the forecast period, 2024-2032.
As Asia-Pacific competes to become the world’s largest IoT market, the product grows exponentially in size and value. Also, IoT plays a significant role in the region’s uplifting activities with the rapidly increasing youth population that has great labor and intellectual potential to serve these economies. Moreover, IoT is widely used for various purposes and is viewed as critical to business success by countries including Australia, China, and Japan.
REGIONAL ANALYSISThe Asia-Pacific IoT in energy & utility application market growth analysis includes the assessment of Vietnam, India, South Korea, China, Australia & New Zealand, Japan, Singapore, Indonesia, and Rest of Asia-Pacific. Uses of IoT in China include industrial, transportation, consumer electronics, healthcare, and automation. The automotive and transportation applications hold the largest market share based on application. Moreover, the IoT application areas include smart metering, speed monitoring, traffic counting, and navigation. Therefore, the development of the automotive industry benefits the Asia-Pacific IoT in the energy & utility application market.
On the other hand, Vietnam is rapidly advancing towards the fourth industrial revolution. As a result, IoT is becoming increasingly popular in every sector. Further, foreign firms are leveraging this technology in various industries and developing potential applications for e-health, smart agriculture, smart real estate, etc. These advancements support the demand for IoT in energy & utility applications in Vietnam.
SEGMENTATION ANALYSISThe Asia-Pacific IoT in energy & utility application market segmentation includes component, end-user, and connectivity. The connectivity segment includes non-cellular and cellular.
Non-cellular devices such as wireless local loop systems, vending machines, or vehicles can communicate via a mobile air interface standard when incorporating a module or modem. Wireless communications can also be enabled between remote machines and a host server or a central station to provide data reporting, real-time monitoring, or remote control without human intervention.
Furthermore, non-cellular devices are gaining popularity in IoT in the energy & utility sector for data security. The lack of direct connectivity with mobile devices and data storage is giving an advantage to non-cellular devices. The installation of non-cellular devices in the on-premise segment is the most popular combination of IoT in energy & utility in the application market. Therefore, the growing concern over data security is treated with non-cellular devices, further boosting its demand in the market.
COMPETITIVE INSIGHTSSome of the key players operating in the Asia-Pacific IoT in energy & utility application market include Wipro Limited, Infosys Limited, IBM, Capgemini SE, Cisco Systems Inc, etc.
Wipro Limited is an IT company providing a range of services, including IT consulting, business process outsourcing (BPO) services, software solutions, and research and development services. Its services include re-engineering and maintenance, IT consulting, cloud services development, custom application design, and package implementation systems integration. Wipro’s services find application in aerospace and defense, public sector, healthcare, banking, retail, and engineering & construction industries. The company serves clients across Europe, the Middle East, Asia-Pacific, and the Americas. It is headquartered in Bengaluru, Karnataka, India.
Wipro’s Data Discovery Platform (DDP) uses storytelling techniques and sophisticated visual sciences to simplify decision-making and interpretation. The platform’s core combines the Wipro HOLMES stream computing and Artificial Intelligence PlatformTM and delivers wide-ranging insights like preventive action for customer attrition, practices to reinforce an online reputation, and predictive maintenance to minimize downtime.
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