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市场调查报告书
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1521056

全球天气预报服务市场:预测(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个工作天内

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简介目录

全球天气预报服务市场规模预计将从2024年的28.86亿美元成长到2029年的38.23亿美元,复合年增长率为5.78%。

天气预报服务可以描述为透过观察各种环境因素来预测天气的服务。天气预报一般是透过观测各种大气变化,利用科学技术来密切观察特定地点的天气状况。主要用于天气预报的工具有六种:多普勒雷达、卫星资料、无线电探空仪、地面观测系统、电脑和AWIPS。

天气预报服务在每个人的日常生活中发挥着重要作用,因为它们预测未来气候变迁的可能性,并帮助为飓风和风暴等自然灾害做好准备。随着智慧型手机的普及和人工智慧的引入等技术发展,对天气预报服务的需求不断增加,最近的趋势非常引人注目。微软和谷歌等多家公司推出了人工智慧驱动的天气预报解决方案,使他们能够更有效、更准确地预测天气变化。

网路的高使用率和智慧型手机的广泛使用预计也将推动对天气预报服务的需求。根据世界银行的数据,到 2021 年,世界上大约 63% 的人口将能够使用网路。随着互联网在世界各地变得越来越流行,对基于行动应用程式的天气预报服务的需求可能会增加。

同样,推动天气预报服务成长的另一个主要因素是全球污染的增加及其对气候变迁的影响。地球的污染正在显着增加,尤其是温室气体。世界卫生组织 (WHO) 表示,甲烷和碳等空气污染物会导致气候变化,并对健康产生多种负面影响。特别是在亚太地区,气候变迁和污染加剧的影响随处可见。据iQAir称,到2022年,孟加拉、印度、巴基斯坦、尼泊尔和塔吉克这五个亚洲国家将跻身全球污染最严重的10个国家之列。

虽然人工智慧和机器学习等新技术和先进技术的引入肯定会提供更准确、更快速的预报结果,但也可能抑制全球市场对天气预报解决方案和产品的需求。新兴的人工智慧模型已经能够根据几天的资料来预测天气,从而能够输出更好、更准确的预测。市场的进一步开拓可能会对天气预报服务市场的成长产生负面影响。

天气预报服务市场驱动因素:

  • 全球气候变迁及其对人们生活的日益影响推动市场成长

推动天气预报服务成长的主要因素之一是世界气候的极端变化。全球污染的增加正在导致大气变暖并导致气候的极端变化。美国环保署表示,空气中的污染物与气候变迁之间存在密切关係。该机构表示,空气中常见的污染物主要包括温室气体和灰尘。这些气体也被称为气候变迁促进剂,是全球暖化的主要原因之一。

污染加剧造成的气候变迁的影响在亚洲和太平洋地区尤其严重。根据 IQAir 的观察,亚太国家是世界上污染最严重的国家之一。据科学与环境中心(CSE)称,近年来印度越来越容易受到气候变迁的影响。该组织表示,印度最脆弱邦和最脆弱邦之间的差距正在缩小。

  • 全球气温上升刺激了对天气预报服务的需求。

据估计,全球气温上升也将推高对天气预报服务的需求。近年来,地球平均气温不断上升,主要原因是全球暖化。根据欧盟地球观测计画哥白尼的预测,2023年将是地球上有纪录以来最温暖的一年,工业水准的平均气温将上升约1.5摄氏度。

另有资料, 2023年全球平均气温约14.98℃,预计2024年1月及2月气温增幅约1.5℃。同样,美国海洋暨大气总署 (NOAA) 估计,2022 年陆地和海洋平均温度约为 0.86°C。

限制天气预报服务市场的因素:

  • 新技术的引入可能会阻碍天气预报解决方案的销售

人工智慧和机器学习等新技术的引入提供了快速、准确的预测结果。此类软体使用有限的资源,例如卫星资料和历史观测资料。包括Google和微软在内的多家公司已经宣布了基于人工智慧的天气预报解决方案。此类解决方案可减少对雷达等重型设备的需求,从而导致天气预报服务市场呈下降趋势。

天气预报服务的地理视角

  • 亚太地区预计将在全球天气预报服务市场中占据很大份额

预计亚太地区将在天气预报服务市场中占据重要份额。根据碳资讯揭露计划(CDP)的数据,印度、巴基斯坦、孟加拉和印尼等亚洲国家是直接经历极端气候变迁的国家之一。因此,迫切需要天气预报服务来了解和预测区域气候变迁。

除了气候变迁之外,网路使用量的增加以及行动电话和智慧型手机的普及肯定会推动天气预报服务市场的发展。亚太地区人口密度最高,网路普及率最高。提供软体和基于应用程式的预测服务的公司肯定会在该地区拥有很高的渗透机会。

天气预报服务市场的公司和产品

  • DTN:DTN为农业、航空、矿业、航运等多个产业提供天气预报服务。解决方案包括飞机 IceGuard、飞行路线警报和 EcoField 数据。

天气预报服务市场的主要发展:

  • 2024年6月,微软发布了最新的具有天气预报功能的Aurora AI模型。
  • 2023 年 11 月,Google发布了 GraphCast,这是一种能够准确预测世界天气的人工智慧模型,提供比其他任何公司都更准确的 10 天天气预报。

目录

第一章简介

  • 市场概况
  • 市场定义
  • 调查范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关人员的主要利益

第二章调查方法

  • 研究设计
  • 调查过程

第三章执行摘要

  • 主要发现

第四章市场动态

  • 市场驱动因素
  • 市场限制因素
  • 波特五力分析
  • 产业价值链分析
  • 分析师观点

第五章天气预报服务市场:依类型

  • 介绍
  • 短距离
  • 中距离
  • 远距

第六章天气预报服务市场:依最终用户分类

  • 介绍
  • 农业
  • 航空
  • 能源/公共产业
  • 油和气
  • 海洋
  • 零售
  • 媒体
  • 其他的

第七章天气预报服务市场:依地区

  • 介绍
  • 北美洲
    • 按类型
    • 按最终用户
    • 按国家/地区
  • 南美洲
    • 按类型
    • 按最终用户
    • 按国家/地区
  • 欧洲
    • 按类型
    • 按最终用户
    • 按国家/地区
  • 中东/非洲
    • 按类型
    • 按最终用户
    • 按国家/地区
  • 亚太地区
    • 按类型
    • 按最终用户
    • 按国家/地区

第八章竞争环境及分析

  • 主要企业及策略分析
  • 市场占有率分析
  • 併购/协议/合作
  • 竞争对手仪表板

第九章 公司简介

  • DTN
  • Earth Networks
  • Fugro
  • Spire Global
  • StormGeo
  • IBM
  • Agricultural Weather Information Service, Inc.
  • Maxar Technologies
  • ECMWF
简介目录
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