Code: MTA9730 | Publication Date: Oct 2025 |
The main drivers of this growth are the rising demand for accurate climate prediction, increasing reliance of the agriculture and aviation sectors on weather insights, and the adoption of advanced technologies like AI, machine learning, and IoT to improve forecasting accuracy and efficiency.
The weather forecasting market trends are focused on new advances in AI and machine learning that improve accuracy and speed of predictive capabilities. There is growing adoption of cloud-based predictive platforms for scaling and real-time accessibility. Industries like agriculture, energy, and transportation are driving demand for tailored solutions for forecasting. The use of IoT-enabled sensors and satellite imagery alongside predictive systems is improving data gathering. Additionally, mobile applications offering hyper-localised weather forecasts are increasing in popularity due to consumer connectivity and demand for location-based weather-specific information.
The weather forecasting market developments include an increasing uptake of supercomputers to rapidly process simulations, and next-generation satellites are now being proposed with improved observational coverage and new predictive analytics that use AI-enabled data modelling technologies. Companies and public agencies are integrating weather data into enterprise resource planning and supply chain systems, as interest in subscription-based premium forecasts in mobile applications and industry-specific forecasts continues to rise. Lastly, there is growing innovation through partnerships among national meteorological agencies and private technology organisations to advance the capabilities and breadth of weather intelligence solutions and tools across various sectors and industries.
Some of the leading companies include: