기상 예측 시스템 시장 : 솔루션별, 산업별, 용도별, 예측 유형별, 목적별, 지역별 - 예측(-2029년)
Weather Forecasting Systems Market by Solution (Hygrometers, Anemometers, Big Data Analytics Software), Application (Satellites, Drones, Balloons), Forecasting Type (Nowcast, Short Range, Medium Range), Vertical, Purpose - Global Forecast to 2029
상품코드:1540320
리서치사:MarketsandMarkets
발행일:2024년 08월
페이지 정보:영문 277 Pages
라이선스 & 가격 (부가세 별도)
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한글목차
기상 예측 시스템 시장 규모는 2024년 22억 달러에서 2024년부터 2029년까지 7.0%의 연평균 복합 성장률(CAGR)로 2029년에는 31억 달러에 달할 것으로 예상됩니다.
시장 성장의 주요 요인은 정확한 기상 데이터를 얻기 위한 기상 예측 시스템 개발의 기술 발전입니다. 기상 예측 시스템은 악천후를 예측하여 잠재적인 피해를 줄이고 공공의 안전을 강화하는 데 필수적입니다. 일반적인 기상 조건의 변화에 따라 사업 활동을 조정하기 위해 다양한 산업에서 기상 모니터링 시스템에 대한 수요가 증가함에 따라 전체 시장의 성장을 가속하고 있습니다.
조사 범위
조사 대상년도
2020-2029년
기준년도
2023년
예측 기간
2024-2029년
검토 단위
금액(100만 달러)
부문별
솔루션별, 산업별, 용도별, 예측 유형별, 목적별, 지역별
대상 지역
북미, 유럽, 아시아태평양 및 기타 지역
솔루션별로는 소프트웨어 부문이 예측 기간 동안 가장 높은 CAGR로 성장할 것으로 예상됩니다. 이 분야의 성장 배경에는 고급 소프트웨어 알고리즘의 사용 증가와 인공지능(AI) 및 머신러닝(ML)과 같은 첨단 기술의 통합이 있습니다. 이러한 기술은 위성, 센서 등 다양한 출처의 대량의 데이터를 효율적으로 처리하여 기상 예측 시스템의 예측 능력과 정확도를 향상시킵니다. 보다 정확하고 시기적절한 기상 예측을 위한 소프트웨어 솔루션의 지속적인 업그레이드가 이 부문 시장 성장을 주도하고 있습니다.
용도별로는 기상위성 분야가 예측 기간 동안 가장 높은 시장 점유율을 차지할 것으로 예상됩니다. 이 분야의 성장 동력은 센서의 정확도 향상, 데이터 처리 속도 향상, 기상 예보의 전반적인 효율성을 높이기 위한 실시간 데이터 전송 등 위성 기술의 혁신에 기인합니다. 기후 변화와 환경 상태를 모니터링하기 위한 전 세계적인 노력은 기상위성의 배치와 유지보수를 지원하기 위한 협력 관계를 촉진하고 있습니다. 기후 변화 및 환경 상태를 모니터링하기 위한 세계 이니셔티브가 증가함에 따라 기상위성의 배치 및 유지보수가 증가함에 따라 이 부문 시장 성장을 가속하고 있습니다.
아시아태평양은 예측 기간 동안 가장 높은 성장률을 보일 것으로 예상됩니다. 이 지역 시장 성장은 재난 대비 및 대응을 강화하기 위한 첨단 예측 시스템에 대한 수요 증가에 기인합니다. 특히 중국, 인도와 같은 국가에서는 재생에너지 발전 프로젝트에 대한 관심이 증가하고 있으며, 에너지 발전과 전력망 관리를 강화하기 위해 정확한 기상 데이터가 필요합니다. 농업 분야에서는 효율적인 작물 관리, 수확량 최적화, 악천후로 인한 손실 최소화를 위해 첨단 기상 예측 시스템에 대한 수요가 증가하고 있으며, 이는 이 지역 시장 성장을 주도하고 있습니다.
이 보고서는 세계 기상 예측 시스템 시장을 조사했으며, 솔루션별/산업별/용도별/예측 유형별/목적별/지역별 동향, 시장 진출기업 프로파일 등을 정리한 보고서입니다.
목차
제1장 서론
제2장 조사 방법
제3장 주요 요약
제4장 프리미엄 인사이트
제5장 시장 개요
서론
시장 역학
밸류체인 분석
고객의 비즈니스에 영향을 미치는 동향/혼란
사례 연구 분석
가격 분석
기상 예측 시스템 시장 : 운영 데이터
생태계 분석
무역 분석
규제 상황
2024-2025년 주요 컨퍼런스 및 이벤트
주요 이해관계자와 구입 기준
기술 분석
기술 로드맵
부품 표
총소유 비용
비즈니스 모델
투자와 자금조달 시나리오
생성형 AI가 기상 예측 시스템 시장에 미치는 영향
제6장 업계 동향
서론
기술 동향
메가트렌드의 영향
특허 분석
제7장 기상 예측 시스템 시장(솔루션별)
서론
하드웨어
소프트웨어
제8장 기상 예측 시스템 시장(업계별)
서론
농업
항공
운송 및 물류
석유 및 가스
선박
재생에너지
군
기상학
기상 서비스 제공업체
기타
제9장 기상 예측 시스템 시장(용도별)
서론
기상 위성
기상 관측 시스템
기상 관측소
기상 드론
기상 레이더
기상 기구
기상 라이더
기타
제10장 기상 예측 시스템 시장(예측 유형별)
서론
나우캐스팅
단기 예측
중기 예측
확장기 예측
장기 예측
제11장 기상 예측 시스템 시장(목적별)
서론
안전성
운영 효율
기타
제12장 기상 예측 시스템 시장(지역별)
서론
북미
유럽
아시아태평양
중동
아프리카
라틴아메리카
제13장 경쟁 구도
서론
주요 시장 진출기업의 전략/비책
매출 분석
시장 점유율 분석
경쟁 평가 매트릭스 : 주요 시장 진출기업, 2023년
기업 평가 매트릭스 : 스타트업/중소기업, 2023년
브랜드/제품 비교
경쟁 시나리오
제14장 기업 개요
주요 시장 진출기업
VAISALA
DTN
ACCUWEATHER, INC.
THE WEATHER COMPANY LLC
STORMGEO
OTT HYDROMET
CAMPBELL SCIENTIFIC, INC.
ALL WEATHER, INC.
AIRMAR TECHNOLOGY CORPORATION
MORCOM INTERNATIONAL
MET ONE INSTRUMENTS INC.
CUSTOMWEATHER
GILL INSTRUMENTS LIMITED
UBIMET
THE TOMORROW COMPANIES INC.
기타 기업
UNDERSTORY
TEMPOQUEST
LIQUID ROBOTICS, INC.
SKYVIEW SYSTEMS
SPEEDWELL CLIMATE LIMITED
DAVIS INSTRUMENTS
HOSKIN SCIENTIFIC
ENSCO, INC.
WEATHER ROUTING, INC.
ADVANCETECH INDIA PVT. LTD.
제15장 부록
LSH
영문 목차
영문목차
The Weather forecasting systems market is valued at USD 2.2 billion in 2024 and is projected to reach USD 3.1 billion by 2029, at a CAGR of 7.0% from 2024 to 2029. The growth of market is primarily driven by technological advancements in the development of weather forecasting systems for accurate weather data. Weather forecasting systems are essential for predicting severe weather events which helps to reduce potential damage and enhance public safety. The rising demand for weather monitoring systems by various industries to align their business activities as per the changes in prevalent weather conditions drives the overall market growth.
Scope of the Report
Years Considered for the Study
2020-2029
Base Year
2023
Forecast Period
2024-2029
Units Considered
Value (USD Million)
Segments
By Solution, Application, Forecasting Type, Vertical, Purpose
Regions covered
North America, Europe, APAC, RoW
"Based on Solution, the software segment is estimated to show the highest CAGR during the forecast period."
The Software segment by Solution is estimated to grow at highest CAGR during the forecast period. The growth of the segment is attributed to the increasing use of advanced software algorithms and the integration of advanced technologies such as artificial intelligence (AI) and machine learning (ML). These technologies enhance the predictive capabilities and accuracy of weather forecasting systems by efficiently processing large volumes of data from various sources such satellites and sensors. The continuous upgradationg of software solutions for more precise and timely weather predictions drives the market growth of the segment.
"Based on Application, the Weather Satellite segment is estimated to dominate the market during the forecast period."
The Weather satellite segment by Application is estimated to hold for the highest market share during the forecast period. The growth of the segment is being driven by the innovations in satellite technology, such as improvements in sensor accuracy, data processing speeds, and real-time data transmission to enhance the overall effectiveness of weather forecasting. Global initiatives to monitor climate change and environmental conditions foster collaborations that support the deployment and maintenance of advanced weather satellites. The increasing deployment and maintenance of advanced weather satellites due to the growing global initiatives to monitor climate change and environmental conditions drives the market growth of the segment.
"Based on regions, the Asia Pacific region is estimated to grow at highest CAGR during the forecast period."
The Asia Pacific region is estimated to show highest growth rate during the forecast period. The growth of the market in this region is due to the growing demand for advanced forecasting systems to enhance disaster preparedness and response. The growing focus on renewable energy projects, particularly in countries like China and India requires precise weather data to enhance energy generation and grid management. The rising need of advanced weather forecasting systems in agriculture industry for effective crop management, optimizing yields, and minimizing losses due to adverse weather conditions drives the market growth in the region.
The break-up of the profile of primary participants in the Weather forecasting systems market:
By Company Type: Tier 1 - 49%, Tier 2 - 37%, and Tier 3 - 14%
By Designation: C Level - 55%, Director Level - 27%, and Others - 18%
By Region: North America - 32%, Europe - 32%, Asia Pacific - 16%, Middle East - 10%, Latin America - 7%, and Africa - 3%
Major companies profiled in the report include Vaisala (Finland), DTN (US), Accuweather, Inc. (US), The Weather Company LLC (US), and StormGeo (Norway) among others.
Research Coverage:
This market study covers the Weather forecasting systems market across various segments and subsegments. It aims to estimate this market's size and growth potential across different parts based on solution, vertical, application, forecasting type, purpose and region. This study also includes an in-depth competitive analysis of the key players in the market, their company profiles, key observations related to their product and business offerings, recent developments, and key market strategies they adopted.
Reasons to buy this report:
The report will help the market leaders/new entrants with information on the closest approximations of the revenue numbers for the overall Weather forecasting systems market. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and plan suitable go-to-market strategies. The report also helps stakeholders understand the market pulse and provides information on key market drivers, restraints, challenges, and opportunities. The Weather forecasting systems market is experiencing substantial growth, primarily driven by the increasing need of precise and accurate weather forecasting data. The innovations and technological advancement by key players is fostering demand for Weather forecasting systems to enhance the weather predictions. The report provides insights on the following pointers:
Market Drivers (Climate change patterns resulting in uncertainties related to rainfall, Need for continuous weather monitoring to enable disaster management, Upsurge in production of renewable energy, and Technological advancement), restraints (Dynamic nature of atmospheric variables, and Complexity of weather forecasting models), Opportunities (Increasing computing capabilities of supercomputers for weather forecasting, Enhancing accuracy of long-range weather forecasting, Incorporation of high-end radar and small satellites in weather monitoring and Increasing use of big data analytics in weather forecasting) challenges (Lack of effective automation and Occurrence of false weather alarms) there are several factors that could contribute to an increase in the Weather forecasting systems market.
Market Penetration: Comprehensive information on Weather forecasting systems offered by the top players in the market
Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product launches in the Weather forecasting systems market
Market Development: Comprehensive information about lucrative markets - the report analyses the Weather forecasting systems market across varied regions.
Market Diversification: Exhaustive information about new products, untapped geographies, recent developments, and investments in the Weather forecasting systems market
Competitive Assessment: In-depth assessment of market shares, growth strategies, products, and solution providing capabilities of leading players in the Weather forecasting systems market
TABLE OF CONTENTS
1 INTRODUCTION
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.3 STUDY SCOPE
1.3.1 MARKET SEGMENTATION
1.3.2 INCLUSIONS AND EXCLUSIONS
1.4 YEARS CONSIDERED
1.5 CURRENCY CONSIDERED
1.6 STAKEHOLDERS
1.7 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.1.1 Key data from secondary sources
2.1.2 PRIMARY DATA
2.1.2.1 Key data from primary sources
2.1.2.2 List of key primaries
2.1.2.3 Breakdown of primaries
2.1.2.4 Key insights from primary respondents
2.2 FACTOR ANALYSIS
2.2.1 INTRODUCTION
2.2.2 DEMAND-SIDE ANALYSIS
2.2.3 SUPPLY-SIDE ANALYSIS
2.3 MARKET SIZE ESTIMATION
2.3.1 BOTTOM-UP APPROACH
2.3.2 TOP-DOWN APPROACH
2.4 DATA TRIANGULATION
2.5 RESEARCH ASSUMPTIONS
2.6 LIMITATIONS
2.7 RISK ANALYSIS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN WEATHER FORECASTING SYSTEMS MARKET
4.2 WEATHER FORECASTING SYSTEMS MARKET, BY SOLUTION
4.3 WEATHER FORECASTING SYSTEMS MARKET, BY PURPOSE
4.4 WEATHER FORECASTING SYSTEMS MARKET, BY FORECAST TYPE
4.5 WEATHER FORECASTING SYSTEMS MARKET, BY COUNTRY
5 MARKET OVERVIEW
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Climate change patterns resulting in rainfall uncertainties
5.2.1.2 Need for efficient disaster management
5.2.1.3 Upsurge in production of renewable energy
5.2.1.4 Technological advancements
5.2.2 RESTRAINTS
5.2.2.1 Dynamic nature of atmospheric variables
5.2.2.2 Complexity of weather forecasting models
5.2.3 OPPORTUNITIES
5.2.3.1 Increasing computing capabilities of supercomputers for weather forecasting
5.2.3.2 Enhanced accuracy of long-range weather forecasting
5.2.3.3 Incorporation of high-end radars and small satellites into weather monitoring
5.2.3.4 Increasing use of big data analytics
5.2.4 CHALLENGES
5.2.4.1 Lack of effective automation
5.2.4.2 Occurrence of false weather alarms
5.3 VALUE CHAIN ANALYSIS
5.4 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
5.4.1 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
5.5 CASE STUDY ANALYSIS
5.5.1 USE OF PICTURE RECOGNITION TO DETERMINE WEATHER CONDITIONS
5.5.2 THE WEATHER COMPANY COLLABORATED WITH IBM TO DESIGN HIGH-PERFORMANCE COMPUTING SYSTEM TO DELIVER QUICK INSIGHTS
5.5.3 NUMERICAL MODELING OF SEVERE STORMS AND LIGHTNING, IMPACT OF GREENHOUSE GASES ON CLIMATE, AND EFFECT OF AEROSOLS ON PRECIPITATION AND HURRICANE DEVELOPMENT
5.5.4 TECHCOM SRL USED FT742-DM ULTRASONIC WIND SENSOR FOR DATA COLLECTION AND MONITORING
5.6 PRICING ANALYSIS
5.6.1 INDICATIVE PRICING ANALYSIS, BY KEY VERTICAL
5.6.2 INDICATIVE PRICING ANALYSIS, BY REGION
5.7 WEATHER FORECASTING SYSTEMS MARKET: OPERATIONAL DATA
5.8 ECOSYSTEM ANALYSIS
5.8.1 PROMINENT COMPANIES
5.8.2 PRIVATE AND SMALL ENTERPRISES
5.8.3 END USERS
5.9 TRADE ANALYSIS
5.9.1 EXPORT SCENARIO OF HYDROMETERS, AEROMETERS, BAROMETERS, HYGROMETERS, AND SIMILAR FLOATING INSTRUMENTS
5.9.2 IMPORT SCENARIO OF HYDROMETERS, AEROMETERS, BAROMETERS, HYGROMETERS, AND SIMILAR FLOATING INSTRUMENTS
5.10 REGULATORY LANDSCAPE
5.10.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.11 KEY CONFERENCES AND EVENTS, 2024-2025
5.12 KEY STAKEHOLDERS AND BUYING CRITERIA
5.12.1 KEY STAKEHOLDERS IN BUYING PROCESS
5.12.2 BUYING CRITERIA
5.13 TECHNOLOGY ANALYSIS
5.13.1 KEY TECHNOLOGIES
5.13.1.1 Dual polarization radar
5.13.1.2 Remote sensing
5.13.2 COMPLEMENTARY TECHNOLOGIES
5.13.2.1 Numerical weather prediction models
5.13.2.2 High-performance computing
5.14 TECHNOLOGY ROADMAP
5.15 BILL OF MATERIALS
5.16 TOTAL COST OF OWNERSHIP
5.17 BUSINESS MODELS
5.17.1 DIRECT SALES MODEL
5.17.2 SOFTWARE AS A SERVICE (SAAS) MODEL
5.17.3 GOVERNMENT CONTRACT MODEL
5.17.4 RENTAL MODEL
5.18 INVESTMENT AND FUNDING SCENARIO
5.19 IMPACT OF GENERATIVE AI ON WEATHER FORECASTING SYSTEMS MARKET
5.19.1 INTRODUCTION
5.19.2 USE OF GENERATIVE AI IN WEATHER FORECASTING SYSTEMS BY TOP COUNTRIES
5.19.3 IMPACT OF GENERATIVE AI ON WEATHER FORECASTING SYSTEMS: USE CASES
5.19.4 IMPACT OF GENERATIVE AI ON WEATHER FORECASTING SYSTEMS
6 INDUSTRY TRENDS
6.1 INTRODUCTION
6.2 TECHNOLOGY TRENDS
6.2.1 SUPERCOMPUTERS
6.2.2 AI-POWERED FORECASTING MODELS
6.2.3 EMERGENCE OF NEXT-GENERATION RADAR TECHNOLOGY