The global market for weather forecasting services is anticipated to experience substantial progress, propelled by the incorporation of innovative technologies such as quantum computing, AI-powered models, and improved satellite systems.

In 2023, 40% of weather predictions are enhanced through AI algorithms, and 35 meteorological organizations globally have implemented machine learning models. Big data analytics currently handle more than 2.5 quintillion bytes each day, allowing for more accurate and customized forecasts.

Furthermore, the launch of 150 new geostationary satellites has improved data precision, offering instant updates. The spread of 5G networks, currently available in 68 countries, along with the growth of IoT devices to 14 billion worldwide, has enhanced data transmission and connectivity even more.

Many experts in the industry think that Quantum Computing could be more suitable for weather predictions compared to classical computers. It can execute complex simulations with greater efficiency. It can be effortlessly set up in various places worldwide. It can operate effectively when kept at elevated temperatures. It can hold vast amounts of data for improved pattern identification.

According to one source, Quantum computing might be more suitable for weather forecasting compared to classical computers due to its capability to execute advanced simulations more effectively. It stated that Quantum computing can quickly process large volumes of weather data and perform analyses that are overly intricate for classical computers.