한글목차

세계의 기상 소프트웨어 시장의 미래는 휴대폰 시장과 컴퓨터 시장에서의 기회로 유망시되고 있습니다. 세계의 기상 소프트웨어 시장은 2025-2031년에 CAGR 8.7%의 성장이 전망되고 있습니다. 이 시장의 주요 촉진요인은 정확한 기상 예측에 대한 수요의 증가, 자연재해의 증가, 재생에너지 프로젝트의 확대입니다.

Lucintel의 예측에 따르면 유형별로는 안드로이드가 예측 기간 중 가장 높은 성장세를 보일 것으로 예측됩니다.

용도별로는 휴대폰가 높은 성장세를 보일 것으로 예측됩니다.

지역별로는 아시아태평양이 예측 기간 중 가장 높은 성장을 보일 것으로 예측됩니다.

기상 소프트웨어 시장의 새로운 동향

기상 소프트웨어 시장은 AI, IoT, 빅데이터 분석과 같은 첨단 기술의 도입으로 변화하고 있습니다. 이러한 기술 혁신은 기상 예측, 재난 관리, 기후 연구를 재구성하고 업계에 보다 정보에 입각한 데이터베이스 의사결정을 내릴 수 있는 툴을 제공합니다. 다음은 기상 소프트웨어 시장의 진화를 촉진하는 주요 새로운 동향입니다.

• 인공지능과 머신러닝: 인공지능과 머신러닝의 통합은 보다 정확하고 시기적절한 예측을 가능하게 함으로써 일기예보에 혁명을 일으키고 있습니다. 이러한 기술은 대규모 데이터세트를 분석하고, 패턴을 식별하고, 기존 모델보다 더 빠르게 예측할 수 있습니다. 이러한 기술은 농업, 에너지, 재난 관리 등의 분야에 필수적인 예측 정확도를 향상시키는 데 도움을 주고 있습니다.
• 실시간 기상 데이터 통합: IoT 기기 및 위성 센서의 도입이 증가함에 따라 실시간 기상 데이터에 대한 접근이 그 어느 때보다 쉬워지고 있습니다. 이러한 추세로 인해 산업계는 의사결정 과정에 기상 데이터를 실시간으로 통합할 수 있게 되었습니다. 농업, 물류, 비상사태 관리 등 다양한 분야에서 실시간 기상정보에 대한 접근은 이해관계자들이 변화하는 상황에 능동적으로 대응하고, 위험을 최소화하며, 성과를 개선할 수 있도록 돕습니다.
• 클라우드 기반 기상 플랫폼: 클라우드 컴퓨팅은 대량의 데이터를 처리하고 확장 가능한 서비스를 제공할 수 있는 능력을 제공함으로써 최신 기상 소프트웨어의 핵심 요소로 자리 잡고 있습니다. 클라우드 기반 플랫폼을 통해 기업은 정확한 기상 데이터와 분석에 원격으로 접근할 수 있으며, 협업, 유연성, 비용 절감을 촉진할 수 있습니다. 클라우드 인프라는 또한 데이터 공유를 용이하게 하여 여러 분야에 걸친 기상 예측의 효율성을 향상시킵니다.
• 정밀농업과 기후 모니터링: 기후 변화가 가속화됨에 따라 농업 관행의 최적화와 기후 상황 모니터링에 기상 소프트웨어를 활용하는 것에 대한 관심이 높아지고 있습니다. 고급 기상 모델과 실시간 데이터는 농가가 기상 패턴을 보다 정확하게 예측하고, 관개를 관리하고, 작물 손실을 줄이는 데 도움이 됩니다. 이러한 추세에 따라 농업 부문을 위해 설계된 전문 기상 소프트웨어가 등장하여 농가가 더 많은 정보를 바탕으로 지속가능한 의사결정을 내릴 수 있도록 돕고 있습니다.
• 재해 위험 감소를 위한 기상 소프트웨어: 기후 변화로 인한 이상기후가 증가함에 따라 정부와 기업은 재해 위험 감소를 위한 기상 소프트웨어에 대한 투자를 늘리고 있습니다. 첨단 기상 시스템은 현재 허리케인, 홍수, 산불에 대한 경보를 실시간으로 제공하여 당국에 예방 조치를 취할 수 있는 능력을 제공합니다. 예측 기상 데이터를 재난 대응 전략에 통합함으로써 인명을 구하고 경제적 피해를 줄이고 있습니다.

AI, 머신러닝, IoT와 같은 기술은 예측 정확도를 높이고, 클라우드 기반 플랫폼은 접근성과 협업을 향상시키며, AI, 머신러닝, IoT와 같은 기술은 예측 정확도를 높이고, 클라우드 기반 플랫폼은 접근성과 협업을 향상시키는 등 기상 소프트웨어 시장을 변화시키고 있습니다. 이러한 발전은 기상 데이터를 보다 실용적으로 만들어 더 나은 의사결정을 내리고, 기상 이변의 영향에 대한 복원력을 향상시키고 있습니다.

기상 소프트웨어 시장의 최근 동향

기상 소프트웨어 시장은 최근 신기술과 투자 확대가 기상 예측, 기후 연구 및 재난 관리의 미래를 형성하고 있는 가운데, 최근 괄목할 만한 성장을 보이고 있습니다. 이러한 개발은 기후 변화, 이상기후, 지속가능성에 대한 증가하는 도전에 대응하고 산업계와 정부에 보다 정확한 리스크 관리 툴을 제공합니다.

• AI와 빅데이터의 통합: 기상 소프트웨어의 가장 중요한 발전 중 하나는 인공지능(AI)과 빅데이터 분석의 통합입니다. AI는 방대한 데이터세트를 분석함으로써 보다 정확한 기상 예측과 기상 모델의 빠른 처리가 가능해졌습니다. 그 결과, 농업, 에너지, 운송 등 다양한 산업의 예측이 개선되어 보다 효율적인 계획을 세우고 위험을 줄일 수 있게 되었습니다.
• 위성 및 IoT 데이터를 통한 실시간 모니터링: 위성 네트워크와 IoT 기기의 확대로 기상 데이터의 정확성과 적시성이 향상되었습니다. 실시간 모니터링을 통해 기상 소프트웨어는 보다 최신 예보를 제공함으로써 기업과 정부가 정보에 입각한 의사결정을 내릴 수 있도록 돕습니다. 또한 이러한 기술의 통합은 특히 허리케인이나 홍수와 같은 기상 이변이 발생했을 때 더 나은 재난 관리를 가능하게 합니다.
• 클라우드 기반 기상 솔루션: 현재 많은 기상 소프트웨어 회사들이 기상 데이터와 더 강력한 계산 자원에 쉽게 접근할 수 있는 클라우드 기반 솔루션을 제공합니다. 클라우드 플랫폼을 통해 사용자는 원격지에서 대규모 데이터세트를 저장하고 처리할 수 있으며, 유연성, 확장성, 비용 효율성을 높일 수 있습니다. 이러한 변화는 업계 간 협업을 개선하고, 전 세계 사용자에게 기상 정보를 더 잘 전달할 수 있도록 돕고 있습니다.
• 부문별 맞춤형: 기상 소프트웨어 프로바이더들은 다양한 부문의 고유한 요구를 충족시키기 위해 제품 맞춤화에 점점 더 많은 노력을 기울이고 있습니다. 예를 들어 농업에 특화된 기상 소프트웨어는 실시간 데이터를 통해 농가의 관개 최적화를 돕고, 물류 회사는 기상 예측을 통해 운송 경로를 관리할 수 있습니다. 이러한 전문화를 통해 다양한 업종의 기업이 더 많은 정보를 바탕으로 상황에 맞는 의사결정을 내릴 수 있습니다.
• 기후 모델링 및 시뮬레이션의 발전: 기후 모델링 및 시뮬레이션의 발전은 과학자들과 기상 소프트웨어 개발자들이 장기적인 기후 패턴을 더 잘 이해할 수 있도록 돕고 있습니다. 모델 개선으로 장기적인 기상 추세를 보다 정확하게 예측할 수 있게 되어 도시 계획, 인프라 구축 및 환경 정책에 귀중한 인사이트를 제공합니다. 이러한 발전은 기업이 기후 변화의 영향에 더 잘 대비할 수 있도록 돕고 있습니다.

최근 기상 소프트웨어 시장에서의 최신 동향은 예측 정확도를 높이고, 더 나은 재난 관리를 가능하게 하며, 전 세계 산업계의 의사결정 과정을 강화하는 등 AI, 빅데이터, 클라우드 컴퓨팅, 위성 기술 활용이 확대됨에 따라 기상 데이터 활용 방식을 변화시켜 모든 부문에서 보다 쉽고 효율적이며 실용적인 기상 데이터 활용을 가능하게 하고 있습니다. 모든 부문에 보다 쉽고, 효율적이며, 실용적인 기상 데이터 활용 방식을 변화시키고 있습니다.

목차

제1장 개요

제2장 세계의 기상 소프트웨어 시장 : 시장 역학

• 서론, 배경, 분류
• 공급망
• 업계 촉진요인과 과제

제3장 시장 동향과 예측 분석, 2019-2031년

• 거시경제 동향(2019-2024년)과 예측(2025-2031년)
• 세계의 기상 소프트웨어 시장 동향(2019-2024년)과 예측(2025-2031년)
• 세계의 기상 소프트웨어 시장 : 유형별
  • Android
  • iOS
  • Android·iOS
• 세계의 기상 소프트웨어 시장 : 용도별
  • 휴대폰
  • 컴퓨터
  • 기타

제4장 시장 동향과 예측 분석 : 지역별, 2019-2031년

• 세계의 기상 소프트웨어 시장 : 지역별
• 북미의 기상 소프트웨어 시장
• 유럽의 기상 소프트웨어 시장
• 아시아태평양의 기상 소프트웨어 시장
• 기타 지역의 기상 소프트웨어 시장

제5장 경쟁 분석

• 제품 포트폴리오 분석
• 운영 통합
• Porter's Five Forces 분석

제6장 성장 기회와 전략 분석

• 성장 기회 분석
  • 세계의 기상 소프트웨어 시장의 성장 기회 : 유형별
  • 세계의 기상 소프트웨어 시장의 성장 기회 : 용도별
  • 세계의 기상 소프트웨어 시장의 성장 기회 : 지역별
• 세계의 기상 소프트웨어 시장의 새로운 동향
• 전략 분석
  • 신제품 개발
  • 세계의 기상 소프트웨어 시장의 능력 확대
  • 세계의 기상 소프트웨어 시장의 합병, 인수, 합병사업
  • 인증과 라이선싱

제7장 주요 기업의 기업 개요

• Accuweather
• Apple(Dark Sky)
• Flowx
• Myradar
• Pinsight(1 Weather)

영문목차

The future of the global weather software market looks promising with opportunities in the mobile phone and computer markets. The global weather software market is expected to grow with a CAGR of 8.7% from 2025 to 2031. The major drivers for this market are the increasing demand for accurate weather forecasting, rising incidents of natural disasters, and the expansion of renewable energy projects.

Lucintel forecasts that, within the type category, Android is expected to witness the highest growth over the forecast period.

Within the application category, mobile phone is expected to witness higher growth.

In terms of region, APAC is expected to witness the highest growth over the forecast period.

Gain valuable insights for your business decisions with our comprehensive 150+ page report. Sample figures with some insights are shown below.

Emerging Trends in the Weather Software Market

The weather software market is undergoing transformation due to the incorporation of advanced technologies like AI, IoT, and big data analytics. These innovations are reshaping weather forecasting, disaster management, and climate research, providing industries with the tools to make more informed, data-driven decisions. Below are the key emerging trends that are driving the evolution of the weather software market.

• AI and Machine Learning in Forecasting: The integration of artificial intelligence and machine learning is revolutionizing weather forecasting by enabling more accurate and timely predictions. These technologies analyze large datasets, identify patterns, and make predictions faster than traditional models. They help weather software providers enhance predictive accuracy, which is critical for sectors like agriculture, energy, and disaster management.
• Real-Time Weather Data Integration: With the increasing deployment of IoT devices and satellite sensors, real-time weather data is becoming more accessible than ever. This trend allows industries to integrate weather data into their decision-making processes in real time. Whether in agriculture, logistics, or emergency management, access to live weather information empowers stakeholders to respond proactively to changing conditions, minimizing risks and improving outcomes.
• Cloud-Based Weather Platforms: Cloud computing is becoming a critical component of modern weather software, offering the ability to process large volumes of data and provide scalable services. Cloud-based platforms allow businesses to access accurate weather data and analytics remotely, promoting collaboration, flexibility, and cost savings. The cloud infrastructure also facilitates data sharing, improving the efficiency of weather predictions across multiple sectors.
• Precision Agriculture and Climate Monitoring: As climate change accelerates, there is a growing focus on using weather software to optimize agricultural practices and monitor climate conditions. Advanced weather models and real-time data help farmers better predict weather patterns, manage irrigation, and reduce crop loss. This trend has led to the rise of specialized weather software designed for the agricultural sector, enabling farmers to make more informed, sustainable decisions.
• Weather Software for Disaster Risk Reduction: Increasingly extreme weather events due to climate change have prompted governments and businesses to invest in weather software for disaster risk reduction. Advanced weather systems now offer real-time alerts for hurricanes, floods, and wildfires, giving authorities the ability to take preventive actions. The integration of predictive weather data with disaster response strategies has saved lives and reduced economic damage.

These emerging trends are transforming the weather software market, enabling businesses and governments to respond more effectively to climate-related challenges. Technologies like AI, machine learning, and IoT are enhancing forecasting accuracy, while cloud-based platforms are improving accessibility and collaboration. These developments are making weather data more actionable, driving better decision-making, and increasing resilience against the effects of extreme weather.

Recent Developments in the Weather Software Market

The weather software market has seen significant developments in recent years as new technologies and increased investments are shaping the future of weather forecasting, climate research, and disaster management. These developments are addressing growing challenges related to climate change, extreme weather, and sustainability, providing industries and governments with more accurate tools for risk management.

• Integration of AI and Big Data: One of the most significant developments in weather software is the integration of artificial intelligence (AI) and big data analytics. By analyzing massive datasets, AI has enabled more accurate weather predictions and faster processing of weather models. This has resulted in improved forecasting for various industries such as agriculture, energy, and transportation, allowing them to plan more efficiently and mitigate risks.
• Satellite and IoT Data for Real-Time Monitoring: The expansion of satellite networks and IoT devices has enhanced the accuracy and timeliness of weather data. With real-time monitoring, weather software can provide more up-to-date forecasts, helping businesses and governments make informed decisions. The integration of these technologies also allows for better disaster management, especially in the wake of extreme weather events like hurricanes and floods.
• Cloud-Based Weather Solutions: Many weather software companies are now offering cloud-based solutions that enable easier access to weather data and more powerful computational resources. Cloud platforms allow users to store and process large datasets remotely, providing flexibility, scalability, and cost-effectiveness. This shift is improving collaboration across industries and enhancing the delivery of weather information to users worldwide.
• Customization for Sector-Specific Needs: Weather software providers are increasingly focusing on customizing their products to meet the unique needs of various sectors. For example, agriculture-focused weather software uses real-time data to help farmers optimize irrigation, while logistics companies use weather predictions to manage transportation routes. This specialization helps companies in diverse industries make more informed, context-specific decisions.
• Advances in Climate Modeling and Simulation: Advances in climate modeling and simulation are helping scientists and weather software developers better understand long-term climate patterns. Improved models allow for more accurate predictions of long-term weather trends, providing valuable insights for urban planning, infrastructure development, and environmental policy. This progress is also helping companies better prepare for the impacts of climate change.

These recent developments in the weather software market are improving forecasting accuracy, enabling better disaster management, and enhancing the decision-making process for industries worldwide. The growing use of AI, big data, cloud computing, and satellite technology is transforming the way weather data is used and making it more accessible, efficient, and actionable for all sectors.

Strategic Growth Opportunities in the Weather Software Market

The weather software market offers a wide range of growth opportunities across key applications, driven by advancements in technology and increasing demand for weather data across various industries. These opportunities are particularly evident in sectors like agriculture, disaster management, transportation, and renewable energy, where weather data plays a critical role in optimizing operations and mitigating risks.

• Weather Software for Agriculture: The agricultural sector is one of the largest beneficiaries of advanced weather software. By using real-time weather data, farmers can optimize irrigation, plan planting and harvesting schedules, and reduce crop loss. As climate change continues to affect weather patterns, weather software that offers precise, location-specific forecasting is increasingly important for ensuring food security and improving agricultural productivity.
• Weather Software for Disaster Management: The growing frequency and intensity of extreme weather events have created a pressing need for advanced weather software in disaster management. Real-time monitoring, forecasting, and alert systems can help authorities respond more effectively to hurricanes, floods, and wildfires. Investments in weather software for disaster risk reduction are expected to continue rising, driven by the increasing need for preparedness and resilience.
• Weather Software for Renewable Energy: Weather software is playing a pivotal role in optimizing renewable energy production, particularly in wind and solar energy. Accurate weather predictions are essential for determining energy output and grid management. By integrating weather data into renewable energy systems, companies can increase efficiency and reduce energy waste, making the energy sector more sustainable and cost-effective.
• Weather Software for Transportation and Logistics: The transportation industry is using weather software to optimize route planning, reduce delays, and minimize risks associated with extreme weather events. Accurate weather forecasts allow logistics companies to plan transportation routes that avoid adverse weather conditions, ensuring timely deliveries and reducing fuel consumption. Weather software is essential for improving efficiency and safety in the logistics sector.
• Weather Software for Urban Planning: As cities grow, the need for advanced weather software for urban planning and infrastructure development becomes more critical. Weather data can inform decisions related to infrastructure resilience, energy usage, and disaster preparedness. By using weather software to simulate and model urban weather conditions, cities can better plan for climate change and improve urban resilience.

These growth opportunities highlight the importance of weather software in optimizing operations, improving safety, and addressing the challenges posed by climate change. As the demand for accurate, real-time weather data continues to rise, weather software is becoming an indispensable tool for sectors ranging from agriculture to renewable energy, transportation, and urban planning.

Weather Software Market Driver and Challenges

The weather software market is shaped by several key drivers and challenges. Technological advancements such as AI, machine learning, and cloud computing are driving growth, enabling more accurate forecasts and real-time weather data integration. However, challenges such as data security, high costs, and the need for continuous innovation remain significant barriers to market expansion.

The factors responsible for driving the weather software market include:

1. Technological Advancements in AI and Cloud Computing: AI and cloud computing are revolutionizing weather software by enabling faster processing of large datasets and more accurate predictions. These technologies allow for real-time weather monitoring and help improve forecasting models, making them critical for industries like agriculture, energy, and transportation.

2. Increased Demand for Climate Change Solutions: The rising awareness of climate change is driving the demand for accurate weather data and predictive tools. Governments and industries are investing in weather software to better understand and mitigate the effects of climate change, such as rising temperatures, extreme weather events, and resource management.

3. Adoption of IoT in Weather Forecasting: The growing use of IoT devices for weather monitoring is providing more granular, real-time data. This trend is enhancing the accuracy of weather forecasts and enabling more localized predictions. IoT devices help track weather patterns in specific areas, providing actionable data for sectors like agriculture, logistics, and disaster management.

4. Rising Investment in Disaster Management: As extreme weather events become more frequent and severe, governments and organizations are increasing investments in disaster management technologies, including weather software. This trend is driving demand for advanced weather forecasting tools that can provide timely alerts and help minimize the impact of disasters.

5. Growing Demand for Renewable Energy Forecasting: With the rise of renewable energy sources like solar and wind power, there is a growing need for weather software to predict energy generation. Weather data helps optimize the use of renewable energy, improving grid management and reducing dependence on fossil fuels.

Challenges in the weather software market are:

1. High Costs of Development and Implementation: Developing and maintaining advanced weather software systems can be expensive, especially for small companies. The high initial costs of technology and infrastructure, combined with the need for continuous updates and improvements, can make it difficult for some businesses to adopt these solutions.

2. Data Security Concerns: The integration of cloud computing and IoT devices has raised concerns about data security in the weather software market. Protecting sensitive weather data and ensuring privacy is crucial, particularly for sectors like healthcare and national security, where unauthorized access could have serious implications.

3. Rapid Technological Advancements and Obsolescence: The fast pace of technological change in the weather software market creates challenges for companies trying to stay ahead of the competition. As new technologies emerge, companies must continuously innovate to avoid obsolescence, which can result in higher costs and a fragmented market.

The weather software market is driven by technological advancements, the increasing need for climate change solutions, and the growing adoption of IoT. However, challenges such as high development costs, data security concerns, and the need for continuous innovation remain significant barriers. Despite these challenges, the market is poised for growth as demand for accurate weather predictions continues to rise.

List of Weather Software Companies

Companies in the market compete on the basis of product quality offered. Major players in this market focus on expanding their manufacturing facilities, R&D investments, infrastructural development, and leverage integration opportunities across the value chain. With these strategies weather software companies cater increasing demand, ensure competitive effectiveness, develop innovative products & technologies, reduce production costs, and expand their customer base. Some of the weather software companies profiled in this report include-

• Accuweather
• Apple(Dark Sky)
• Flowx
• Myradar
• Pinsight(1Weather)

Weather Software Market by Segment

The study includes a forecast for the global weather software market by type, application, and region.

Weather Software Market by Type [Value from 2019 to 2031]:

• Android
• Ios
• Android & Ios

Weather Software Market by Application [Value from 2019 to 2031]:

• Mobile Phones
• Computers
• Others

Weather Software Market by Region [Value from 2019 to 2031]:

• North America
• Europe
• Asia Pacific
• The Rest of the World

Country Wise Outlook for the Weather Software Market

Major players in the market are expanding their operations and forming strategic partnerships to strengthen their positions. It highlights recent developments by major weather software producers in key regions: the USA, China, India, Japan, and Germany.

• United States: In the United States, the weather software market has witnessed the expansion of advanced predictive technologies, including the use of AI for more precise forecasting. The National Oceanic and Atmospheric Administration (NOAA) has been integrating new AI algorithms into its weather forecasting models. These innovations have enabled quicker and more accurate weather predictions, helping to improve response strategies for severe weather events like hurricanes and wildfires. The focus has also shifted to integrating weather data with other sectors such as agriculture and transportation for better risk management.
• China: China has made substantial investments in weather software as part of its national climate initiatives. The government has supported the development of supercomputing platforms to handle vast amounts of meteorological data from satellites and ground stations. These advancements have improved the country's weather prediction capabilities, particularly for urban areas and agriculture. China's weather software market also focuses on providing real-time data for disaster management, helping mitigate the impact of extreme weather conditions like flooding and storms, which are becoming more frequent due to climate change.
• Germany: In Germany, weather software has been increasingly integrated into industries such as energy, transportation, and agriculture. The country is leveraging data from weather satellites and IoT devices to optimize energy production, particularly in wind and solar energy sectors. Additionally, Germany has been at the forefront of utilizing machine learning to enhance the precision of short-term weather forecasts, allowing for better management of transportation networks and agricultural planning. Germany's commitment to environmental sustainability further drives the need for accurate weather predictions to mitigate the effects of climate change.
• India: India has been making strides in weather software to address the challenges posed by its monsoon season and climate vulnerability. The Indian Meteorological Department (IMD) has been upgrading its forecasting systems using advanced satellite data and machine learning algorithms. This has led to improved early warnings for natural disasters like cyclones and floods, which can have devastating impacts in the region. Additionally, India is using weather software to optimize agricultural practices, ensuring food security amidst increasingly erratic weather patterns due to global warming.
• Japan: Japan continues to invest in weather software to enhance its disaster preparedness, particularly in relation to earthquakes and typhoons. The Japan Meteorological Agency (JMA) has developed advanced systems to provide real-time, accurate weather data. These systems are used in disaster management, where timely weather forecasts can help minimize loss of life and property. Japan also focuses on integrating weather software into smart city infrastructure to improve urban resilience and optimize energy usage in response to changing weather conditions.

Features of the Global Weather Software Market

Market Size Estimates: Weather software market size estimation in terms of value ($B).

Trend and Forecast Analysis: Market trends (2019 to 2024) and forecast (2025 to 2031) by various segments and regions.

Segmentation Analysis: Weather software market size by type, application, and region in terms of value ($B).

Regional Analysis: Weather software market breakdown by North America, Europe, Asia Pacific, and Rest of the World.

Growth Opportunities: Analysis of growth opportunities in different types, applications, and regions for the weather software market.

Strategic Analysis: This includes M&A, new product development, and competitive landscape of the weather software market.

Analysis of competitive intensity of the industry based on Porter's Five Forces model.

This report answers following 11 key questions:

• Q.1. What are some of the most promising, high-growth opportunities for the weather software market by type (android, iOS, and android & iOS), application (mobile phones, computers, and others), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
• Q.2. Which segments will grow at a faster pace and why?
• Q.3. Which region will grow at a faster pace and why?
• Q.4. What are the key factors affecting market dynamics? What are the key challenges and business risks in this market?
• Q.5. What are the business risks and competitive threats in this market?
• Q.6. What are the emerging trends in this market and the reasons behind them?
• Q.7. What are some of the changing demands of customers in the market?
• Q.8. What are the new developments in the market? Which companies are leading these developments?
• Q.9. Who are the major players in this market? What strategic initiatives are key players pursuing for business growth?
• Q.10. What are some of the competing products in this market and how big of a threat do they pose for loss of market share by material or product substitution?
• Q.11. What M&A activity has occurred in the last 5 years and what has its impact been on the industry?

Table of Contents

1. Executive Summary

2. Global Weather Software Market : Market Dynamics

• 2.1: Introduction, Background, and Classifications
• 2.2: Supply Chain
• 2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2019 to 2031

• 3.1. Macroeconomic Trends (2019-2024) and Forecast (2025-2031)
• 3.2. Global Weather Software Market Trends (2019-2024) and Forecast (2025-2031)
• 3.3: Global Weather Software Market by Type
  • 3.3.1: Android
  • 3.3.2: IOS
  • 3.3.3: Android & IOS
• 3.4: Global Weather Software Market by Application
  • 3.4.1: Mobile Phones
  • 3.4.2: Computers
  • 3.4.3: Others

4. Market Trends and Forecast Analysis by Region from 2019 to 2031

• 4.1: Global Weather Software Market by Region
• 4.2: North American Weather Software Market
  • 4.2.1: North American Market by Type: Android, IOS, and Android & IOS
  • 4.2.2: North American Market by Application: Mobile Phones, Computers, and Others
• 4.3: European Weather Software Market
  • 4.3.1: European Market by Type: Android, IOS, and Android & IOS
  • 4.3.2: European Market by Application: Mobile Phones, Computers, and Others
• 4.4: APAC Weather Software Market
  • 4.4.1: APAC Market by Type: Android, IOS, and Android & IOS
  • 4.4.2: APAC Market by Application: Mobile Phones, Computers, and Others
• 4.5: ROW Weather Software Market
  • 4.5.1: ROW Market by Type: Android, IOS, and Android & IOS
  • 4.5.2: ROW Market by Application: Mobile Phones, Computers, and Others

5. Competitor Analysis

• 5.1: Product Portfolio Analysis
• 5.2: Operational Integration
• 5.3: Porter's Five Forces Analysis

6. Growth Opportunities and Strategic Analysis

• 6.1: Growth Opportunity Analysis
  • 6.1.1: Growth Opportunities for the Global Weather Software Market by Type
  • 6.1.2: Growth Opportunities for the Global Weather Software Market by Application
  • 6.1.3: Growth Opportunities for the Global Weather Software Market by Region
• 6.2: Emerging Trends in the Global Weather Software Market
• 6.3: Strategic Analysis
  • 6.3.1: New Product Development
  • 6.3.2: Capacity Expansion of the Global Weather Software Market
  • 6.3.3: Mergers, Acquisitions, and Joint Ventures in the Global Weather Software Market
  • 6.3.4: Certification and Licensing

7. Company Profiles of Leading Players

• 7.1: Accuweather
• 7.2: Apple(Dark Sky)
• 7.3: Flowx
• 7.4: Myradar
• 7.5: Pinsight(1Weather)