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市場調查報告書
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1521056

全球天氣預報服務市場：預測（2024-2029）

Weather Forecasting Services Market - Forecasts from 2024 to 2029
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 140 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

全球天氣預報服務市場規模預計將從2024年的28.86億美元成長到2029年的38.23億美元，複合年成長率為5.78%。

天氣預報服務可以描述為透過觀察各種環境因素來預測天氣的服務。天氣預報一般是透過觀測各種大氣變化，利用科學技術來密切觀察特定地點的天氣狀況。主要用於天氣預報的工具有六種：多普勒雷達、衛星資料、無線電探空儀、地面觀測系統、電腦和AWIPS。

天氣預報服務在每個人的日常生活中發揮著重要作用，因為它們預測未來氣候變遷的可能性，並幫助為颶風和風暴等自然災害做好準備。隨著智慧型手機的普及和人工智慧的引入等技術發展，對天氣預報服務的需求不斷增加，最近的趨勢非常引人注目。微軟和谷歌等多家公司推出了人工智慧驅動的天氣預報解決方案，使他們能夠更有效、更準確地預測天氣變化。

網路的高使用率和智慧型手機的廣泛使用預計也將推動對天氣預報服務的需求。根據世界銀行的數據，到 2021 年，世界上大約 63% 的人口將能夠使用網路。隨著網際網路在世界各地變得越來越流行，對基於行動應用程式的天氣預報服務的需求可能會增加。

同樣，推動天氣預報服務成長的另一個主要因素是全球污染的增加及其對氣候變遷的影響。地球的污染正在顯著增加，尤其是溫室氣體。世界衛生組織 (WHO) 表示，甲烷和碳等空氣污染物會導致氣候變化，並對健康產生多種負面影響。特別是在亞太地區，氣候變遷和污染加劇的影響隨處可見。據iQAir稱，到2022年，孟加拉、印度、巴基斯坦、尼泊爾和塔吉克這五個亞洲國家將躋身全球污染最嚴重的10個國家之列。

雖然人工智慧和機器學習等新技術和先進技術的引入肯定會提供更準確、更快速的預報結果，但也可能抑制全球市場對天氣預報解決方案和產品的需求。新興的人工智慧模型已經能夠根據幾天的資料來預測天氣，從而能夠輸出更好、更準確的預測。市場的進一步開拓可能會對天氣預報服務市場的成長產生負面影響。

天氣預報服務市場促進因素：

  • 全球氣候變遷及其對人們生活的日益影響推動市場成長

推動天氣預報服務成長的主要因素之一是世界氣候的極端變化。全球污染的增加正在導致大氣變暖並導致氣候的極端變化。美國環保署表示，空氣中的污染物與氣候變遷之間存在密切關係。該機構表示，空氣中常見的污染物主要包括溫室氣體和灰塵。這些氣體也被稱為氣候變遷促進劑，是全球暖化的主要原因之一。

污染加劇造成的氣候變遷的影響在亞洲和太平洋地區尤其嚴重。根據 IQAir 的觀察，亞太國家是世界上污染最嚴重的國家之一。據科學與環境中心（CSE）稱，近年來印度越來越容易受到氣候變遷的影響。該組織表示，印度最脆弱邦和最脆弱邦之間的差距正在縮小。

  • 全球氣溫上升刺激了對天氣預報服務的需求。

據估計，全球氣溫上升也將推高對天氣預報服務的需求。近年來，地球平均氣溫不斷上升，主要原因是全球暖化。根據歐盟地球觀測計畫哥白尼的預測，2023年將是地球上有紀錄以來最溫暖的一年，工業水準的平均氣溫將上升約1.5攝氏度。

另有資料， 2023年全球平均氣溫約14.98度C，預計2024年1月及2月氣溫增幅約1.5度C。同樣，美國海洋暨大氣總署 (NOAA) 估計，2022 年陸地和海洋平均溫度約為 0.86°C。

限制天氣預報服務市場的因素：

  • 新技術的引入可能會阻礙天氣預報解決方案的銷售

人工智慧和機器學習等新技術的引入提供了快速、準確的預測結果。此類軟體使用有限的資源，例如衛星資料和歷史觀測資料。包括Google和微軟在內的多家公司已經宣布了基於人工智慧的天氣預報解決方案。此類解決方案可減少對雷達等重型設備的需求，從而導致天氣預報服務市場呈下降趨勢。

天氣預報服務的地理視角

  • 亞太地區預計將在全球天氣預報服務市場中佔據很大佔有率

預計亞太地區將在天氣預報服務市場中佔據重要佔有率。根據碳資訊揭露計劃（CDP）的數據，印度、巴基斯坦、孟加拉和印尼等亞洲國家是直接經歷極端氣候變遷的國家之一。因此，迫切需要天氣預報服務來了解和預測區域氣候變遷。

除了氣候變遷之外，網路使用量的增加以及行動電話和智慧型手機的普及肯定會推動天氣預報服務市場的發展。亞太地區人口密度最高，網路普及率最高。提供軟體和基於應用程式的預測服務的公司肯定會在該地區擁有很高的滲透機會。

天氣預報服務市場的公司和產品

  • DTN：DTN為農業、航空、礦業、航運等多個產業提供天氣預報服務。解決方案包括飛機 IceGuard、飛行路線警報和 EcoField 數據。

天氣預報服務市場的主要發展：

  • 2024年6月，微軟發布了最新的具有天氣預報功能的Aurora AI模型。
  • 2023 年 11 月，Google發布了 GraphCast，這是一種能夠準確預測世界天氣的人工智慧模型，提供比其他任何公司都更準確的 10 天天氣預報。

目錄

第1章簡介

  • 市場概況
  • 市場定義
  • 調查範圍
  • 市場區隔
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表
  • 相關人員的主要利益

第2章調查方法

  • 研究設計
  • 調查過程

第3章執行摘要

  • 主要發現

第4章市場動態

  • 市場促進因素
  • 市場限制因素
  • 波特五力分析
  • 產業價值鏈分析
  • 分析師觀點

第5章天氣預報服務市場：依類型

  • 介紹
  • 短距離
  • 中距離
  • 遠距

第6章天氣預報服務市場：依最終用戶分類

  • 介紹
  • 農業
  • 航空
  • 能源/公共產業
  • 油和氣
  • 海洋
  • 零售
  • 媒體
  • 其他

第7章天氣預報服務市場：依地區

  • 介紹
  • 北美洲
    • 按類型
    • 按最終用戶
    • 按國家/地區
  • 南美洲
    • 按類型
    • 按最終用戶
    • 按國家/地區
  • 歐洲
    • 按類型
    • 按最終用戶
    • 按國家/地區
  • 中東/非洲
    • 按類型
    • 按最終用戶
    • 按國家/地區
  • 亞太地區
    • 按類型
    • 按最終用戶
    • 按國家/地區

第8章競爭環境及分析

  • 主要企業及策略分析
  • 市場佔有率分析
  • 併購/協議/合作
  • 競爭對手儀表板

第9章 公司簡介

  • DTN
  • Earth Networks
  • Fugro
  • Spire Global
  • StormGeo
  • IBM
  • Agricultural Weather Information Service, Inc.
  • Maxar Technologies
  • ECMWF
簡介目錄
Product Code: KSI061615178

The weather forecasting services market is estimated to grow from US$2.886 billion in 2024 to US$3.823 billion by 2029, at a CAGR of 5.78%.

A weather forecasting service can be explained as a prediction of the weather, through observing various environmental factors. The prediction of the weather is generally made by observing various atmospheric changes, using scientific and technology to make a close observation, of what the weather will be in a particular place. For the forecasting of the weather, the companies or organizations use mainly six types of tools, that is a doppler radar, satellite data, radiosondes, surface-observing systems, computers, and AWIPS.

Weather forecasting services play an important role in the day-to-day living of everyone, as they help with the possibility of change in the climate in the future and help prepare for natural calamities like cyclones, storms, and many more. The demand for weather forecasting services has witnessed significant growth in recent years, with the development of technologies, like the availability of smartphones and the introduction of AI. Various companies like Microsoft and Google introduced their AI-powered weather forecasting solution, which can predict weather changes more efficiently and accurately.

The high internet usage and availability of smartphones are also anticipated to boost the demand for weather forecasting services. According to the World Bank, about 63% of the global population had access to the Internet in 2021. As the internet is increasingly adopted worldwide, the demand for mobile-app-based weather forecasting services will also increase.

Similarly, another major driver for the growth of weather forecasting services can be the increasing global pollution and its effects on climate change. The globe has witnessed a significant increase in pollution, especially the increase of greenhouse gases. The World Health Organization stated that the air pollutants like methane and carbon contribute to the change in the climate and also have various ill effects on health. Especially in the Asia Pacific, the effect of climate change, with increasing pollution can be witnessed in every part of the region. In 2022, five Asian countries, i.e. Bangladesh, India, Pakistan, Nepal, and Tajikistan, were among the top ten most polluted countries in the world, as stated by IQAir.

The introduction of new and advanced technologies like AI and ML will surely provide more accurate and quicker forecasting results, but it may also slow down the demand for weather forecasting solutions and products in the global market. The developing AI model has attained the capability to forecast the weather based on a few days' data and can output a better and more accurate forecast. The increasing development might negatively affect the weather forecasting services market growth.

WEATHER FORECASTING SERVICES MARKET DRIVERS:

  • An increase in global climate change and its effects on human life will bolster the market growth.

One of the major drivers for the increasing growth of weather forecasting services can be the extreme change in the climate worldwide. The increasing global pollution warms the atmosphere, resulting in extreme changes in the climate. The US Environmental Protection Agency stated that the pollutants in the air and climate change have a strong relation with each other. According to the organization, the general pollutants in the atmosphere majorly include greenhouse gases and dust particles. These gases are also referred to as climate forcers and are one of the major reasons for global warming.

The effects of climate change, caused by the increase in pollution, are especially severe in the Asia Pacific region. IQAir observed that the Asian Pacific countries are among the top pollutants in the globe. According to the Centre for Science and Environment (CSE), India has witnessed a significant climate vulnerability in the past few years. According to the organization, the gap between the least and most vulnerable states in India is small.

  • The increase in the global temperature has stimulated the demand for weather forecast services.

The increasing global temperature is also estimated to push the demand for weather forecasting services forward. In recent years, mainly because of global warming, the average temperature of the globe has witnessed an increase. According to Copernicus, the European Union's Earth Observation Programme, the year 2023 was recorded as the warmest year on Earth, with an average increase of about 1.5°C per industrial level.

The data also states that the global average temperature for 2023 was about 14.98°C, and the estimated rise in January and February of 2024 was about 1.5°C. Similarly, the National Oceanic and Atmospheric Administration of the US (NOAA) stated that in 2022, the average temperature of land and ocean was about 0.86° Celsius.

WEATHER FORECASTING SERVICES MARKET RESTRAINTS:

  • The introduction of new technologies may hinder the sales of weather forecasting solutions.

The introduction of new technologies like Artificial Intelligence and Machine Learning offers quick and accurate forecasting results. Such software uses limited resources, like satellite data and past observations. Various companies, like Google and Microsoft, have introduced their AI-based weather forecasting solutions. These solutions may reduce the need for heavy equipment like radars and others and can create a downward trend in the weather forecasting service market.

WEATHER FORECASTING SERVICES GEOGRAPHICAL OUTLOOK

  • Asia Pacific is anticipated to hold a significant share of the global weather forecasting services market.

The Asia Pacific is poised to gain a massive share in the weather forecasting services market, as the effects of climate change can be mainly observed here. According to the Carbon Disclosure Project (CDP), Asian countries like India, Pakistan, Bangladesh, and Indonesia are among the top countries that will experience extreme climate change first-hand. This creates an urgent need for weather forecasting services to understand and predict the regional climate changes.

Apart from climate change, the increase in internet usage and the availability of mobile phones or smartphones will surely boost the weather forecasting services market. The Asian Pacific region offers the biggest population density, with a high internet penetration. Companies offering software or app-based forecasting services are sure to have a high penetration opportunity in the region.

Weather Forecasting Services Market Players and Products:

  • DTN: DTN provides weather forecasting services for multiple industries, like agriculture, aviation, mining, and shipping, among others. Solutions include Aircraft IceGuard, Flight Route Alerting, and EcoField Data.

Weather Forecasting Services Market Key Developments:

  • In June 2024, Microsoft unveiled its latest Aurora AI model, which has the capability of weather forecasting. This model includes data diversity and model scaling, which improves its weather forecasting.
  • In November 2023, Google launched its GraphCast, an Artificial Intelligence model that can accurately forecast global weather and deliver 10-day weather predictions more accurately than others.

The Weather Forecasting Services Market is segmented and analyzed as:

By Type

  • Short-Range
  • Medium-Range
  • Long-Range

By End-User

  • Agriculture
  • Aviation
  • Energy & Utilities
  • Oil & Gas
  • Marine
  • Retail
  • Media
  • Others

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • Germany
  • France
  • United Kingdom
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Israel
  • Others
  • Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Indonesia
  • Taiwan
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base and Forecast Years Timeline
  • 1.8. Key benefits for the stakeholders

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Process

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. The Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis
  • 4.5. Analyst View

5. WEATHER FORECASTING SERVICES MARKET BY TYPE

  • 5.1. Introduction
  • 5.2. Short-Range
  • 5.3. Medium-Range
  • 5.4. Long-Range

6. WEATHER FORECASTING SERVICES MARKET BY END-USER

  • 6.1. Introduction
  • 6.2. Agriculture
  • 6.3. Aviation
  • 6.4. Energy & Utilities
  • 6.5. Oil & Gas
  • 6.6. Marine
  • 6.7. Retail
  • 6.8. Media
  • 6.9. Others

7. WEATHER FORECASTING SERVICES MARKET BY GEOGRAPHY

  • 7.1. Introduction
  • 7.2. North America
    • 7.2.1. By Type
    • 7.2.2. By End-User
    • 7.2.3. By Country
      • 7.2.3.1. United States
      • 7.2.3.2. Canada
      • 7.2.3.3. Mexico
  • 7.3. South America
    • 7.3.1. By Type
    • 7.3.2. By End-User
    • 7.3.3. By Country
      • 7.3.3.1. Brazil
      • 7.3.3.2. Argentina
      • 7.3.3.3. Others
  • 7.4. Europe
    • 7.4.1. By Type
    • 7.4.2. By End-User
    • 7.4.3. By Country
      • 7.4.3.1. Germany
      • 7.4.3.2. France
      • 7.4.3.3. United Kingdom
      • 7.4.3.4. Spain
      • 7.4.3.5. Others
  • 7.5. Middle East and Africa
    • 7.5.1. By Type
    • 7.5.2. By End-User
    • 7.5.3. By Country
      • 7.5.3.1. Saudi Arabia
      • 7.5.3.2. UAE
      • 7.5.3.3. Israel
      • 7.5.3.4. Others
  • 7.6. Asia Pacific
    • 7.6.1. By Type
    • 7.6.2. By End-User
    • 7.6.3. By Country
      • 7.6.3.1. China
      • 7.6.3.2. Japan
      • 7.6.3.3. India
      • 7.6.3.4. South Korea
      • 7.6.3.5. Indonesia
      • 7.6.3.6. Taiwan
      • 7.6.3.7. Others

8. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 8.1. Major Players and Strategy Analysis
  • 8.2. Market Share Analysis
  • 8.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 8.4. Competitive Dashboard

9. COMPANY PROFILES

  • 9.1. DTN
  • 9.2. Earth Networks
  • 9.3. Fugro
  • 9.4. Spire Global
  • 9.5. StormGeo
  • 9.6. IBM
  • 9.7. Agricultural Weather Information Service, Inc.
  • 9.8. Maxar Technologies
  • 9.9. ECMWF