Ai-based Climate Modelling Market Size 2025-2029
The ai-based climate modelling market size is forecast to increase by USD 497315.1 thousand, at a CAGR of 20.0% between 2024 and 2029.
The demand for enhanced accuracy and granularity in climate projections is a primary driver for the global AI-based climate modeling market. Advances in ai in simulation and ai-based image analysis are enabling the development of models that provide high-resolution data crucial for local adaptation strategies. The emergence of generative AI and digital twins represents a significant trend, offering faster and more detailed simulations. This allows for the exploration of a wider range of climate scenarios, with applications in areas like generative ai in agriculture for predicting crop yields. These technologies help address the limitations of traditional models, which often struggle with the complexities of the climate system, including nonlinear feedback loops and multivariate environmental data.Despite these advancements, the market faces a significant challenge related to data scarcity, quality, and accessibility. The effectiveness of deep learning algorithms depends on vast and high-quality datasets, and geographical gaps in data collection can lead to models that do not accurately represent all regions. This lack of granular data is a barrier to making precise local projections, which are vital for infrastructure planning and disaster risk management. Overcoming these data-related hurdles is essential for the continued development of robust and reliable sustainable ai and for ensuring that the benefits of advanced climate modeling, such as improved ai in economic analytics and ai carbon footprint management, are globally accessible.
What will be the Size of the Ai-based Climate Modelling Market during the forecast period?
Explore in-depth regional segment analysis with market size data - historical 2019 - 2023 and forecasts 2025-2029 - in the full report.
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The global AI-based climate modeling market is characterized by continuous advancements in machine learning algorithms and deep learning models, which are enabling more precise climate change prediction. These technologies are crucial for analyzing vast geophysical data processing streams from sources like satellites and IoT sensors. The focus is on developing predictive climate analytics that offer higher resolution and accuracy than traditional methods. This involves creating sophisticated climate data simulation techniques and digital twin climate models to explore a wide range of future scenarios, including applications in ai in economic analytics. The ongoing refinement of these models is critical for improving both short-term extreme event prediction and long-term climate modeling.A key area of development is the creation of hyper-local weather forecasting systems and robust early warning systems. These applications are driven by the need for actionable intelligence in sectors such as agriculture and disaster risk management. Technologies like ai-based image analysis of satellite imagery and real-time climate simulations are enhancing the ability to predict localized events with greater lead time. The development of geospatial foundation models and climate risk analytics platforms is supporting more effective climate resilience planning and the implementation of targeted climate adaptation strategies, with a strong focus on sustainable ai practices.The market is also focused on addressing the operational challenges of deploying these advanced systems. This includes managing high-performance computing and cloud computing resources required for training complex models. There is a growing emphasis on creating explainable AI for climate to build trust and facilitate the integration of these models into policy-making and business operations. Furthermore, applications such as ai carbon footprint management and ai-powered decarbonization analytics are gaining traction as organizations face increasing pressure to monitor and reduce their environmental impact. The development of environmental monitoring APIs is making these powerful tools more accessible to a broader range of users.
How is this Ai-based Climate Modelling Industry segmented?
The ai-based climate modelling industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in "USD thousand" for the period 2025-2029, as well as historical data from 2019 - 2023 for the following segments.
- Component
- Technology
- Machine learning
- Deep learning
- NLP
- Computer vision
- Reinforcement learning
- Application
- Weather forecasting and early warning systems
- Climate change prediction and long-term modelling
- Carbon footprint and emission monitoring
- Disaster risk management
- Others
- Geography
- APAC
- China
- Japan
- India
- Australia
- South Korea
- Singapore
- North America
- Europe
- UK
- Germany
- France
- The Netherlands
- Italy
- Spain
- Middle East and Africa
- South America
- Rest of World (ROW)
By Component Insights
The software segment is estimated to witness significant growth during the forecast period.
The software segment is the dominant force in the global AI-based climate modeling market, propelled by the growing demand for sophisticated, AI-driven tools that provide real-time, high-resolution climate forecasts. The adaptability and scalability of software solutions make them indispensable for government agencies, research institutions, and private enterprises. The core function of this software is to process immense environmental datasets for accurate climate simulations, including climate risk analytics and disaster risk management.
Innovation in this sub-segment is driven by the need for enhanced accuracy and efficiency. In a recent year, software solutions accounted for approximately 63% of the total market, underscoring their critical role. The integration of machine learning into climate modeling software enables the analysis of complex, multivariate environmental data. There is also a push towards hyperlocal weather forecasting and specialized applications like ai-powered decarbonization analytics and explainable AI for climate models, reflecting a trend towards more targeted and actionable climate solutions.
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The Software segment was valued at USD 112,256.40 None in 2019 and showed a gradual increase during the forecast period.
Regional Analysis
APAC is estimated to contribute 31.4% to the growth of the global market during the forecast period.Technavio’s analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.
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The APAC region is set to experience the most rapid growth in the AI-based climate modeling market, driven by its increasing vulnerability to climate change impacts and significant government investments in AI-powered forecasting infrastructure. Countries like China, Japan, and India are at the forefront, deploying advanced AI models for climate and weather prediction. The region's high exposure to extreme weather events, rising sea levels, and flooding provides a powerful impetus for adopting sophisticated climate risk analytics and early warning systems.
APAC represents a significant market opportunity, accounting for over 31% of the potential incremental growth. The region is home to dynamic AI ecosystems, with technological prowess being harnessed for challenges like monsoon forecasting, agricultural optimization, and urban climate resilience planning. Strong collaborations between startups, corporations, and governments, coupled with advancing digital infrastructure, are fostering a supportive environment for AI-driven climate initiatives. As climate impacts become more pronounced, the demand for predictive capabilities like hyper-local weather forecasting is expected to rise, making APAC a key focal point for innovation.
Market Dynamics
Our researchers analyzed the data with 2024 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.
The global market is rapidly advancing by integrating AI with traditional climate models to generate more accurate predictions. This evolution is driven by the development of high-resolution climate simulation platforms and the application of physics-informed AI for climate science, ensuring models adhere to fundamental laws. The use of deep learning for long-term climate projections is becoming standard, while the demand for explainable AI in climate change forecasting grows to build trust. Furthermore, machine learning for hyperlocal weather data enables precise local forecasts, and the emergence of generative AI for extreme weather events helps organizations prepare for unprecedented disruptions. These sophisticated tools rely on robust data pipelines, often leveraging cloud-based AI for environmental monitoring and automated satellite data processing for climate.This technological convergence is unlocking powerful applications, including the deployment of AI models for carbon emission tracking and computer vision for tracking deforestation, providing critical data for policymakers. The application of natural language processing for climate reports streamlines analysis. For industry, AI-based climate modelling for agriculture optimizes yields, and AI platforms for supply chain climate risk build resilience. In urban areas, digital twins for local climate adaptation and AI applications in sustainable urban planning are crucial. These efforts are supported by overarching AI-powered disaster risk reduction strategies and AI-driven analytics for climate resilience, while forward-thinking governance involves reinforcement learning for climate policy optimization and the energy sector benefits from AI-based analytics for renewable energy integration.
What are the key market drivers leading to the rise in the adoption of Ai-based Climate Modelling Industry?
- The primary driver for the global AI-based climate modeling market is the escalating demand for enhanced accuracy and granularity in climate projections to support effective adaptation and mitigation strategies.
The escalating demand for greater accuracy and granularity in climate projections is a primary driver of market growth. Traditional climate models often lack the high-resolution data necessary for effective regional and local adaptation strategies, particularly when assessing the specific impacts of climate change on infrastructure, agriculture, and urban areas. Artificial intelligence, including machine learning algorithms and deep learning models, addresses these limitations by analyzing vast and diverse datasets from satellites and ground-based sensors. This capability allows for the downscaling of global climate model outputs to finer spatial and temporal resolutions, providing actionable insights for local decision-makers. For instance, AI-enhanced models can predict extreme rainfall events with greater precision, enabling more effective flood management.The market is also significantly driven by the substantial increase in both public and private sector investment in climate technology, along with growing policy support from governments. This supportive ecosystem is fostering growth for companies specializing in AI-based climate modeling. Government-led initiatives provide direct financial support and signal long-term market opportunities, which in turn spurs private investment. Startups working on AI-related technology accounted for a significant portion of climate tech investment. This influx of private capital is enabling the rapid scaling of companies at the forefront of AI-based climate modeling, as large corporations increasingly integrate climate considerations and risk management into their business strategies.
What are the market trends shaping the Ai-based Climate Modelling Industry?
- A key upcoming trend in the market is the emergence of generative AI and the development of sophisticated digital twins of the Earth for faster and more accurate climate modeling.
The increasing application of generative AI and the development of sophisticated digital twins of the Earth are transforming the global AI-based climate modeling market. This trend marks a paradigm shift from traditional, computationally expensive climate models to faster, more accurate, and higher-resolution simulations, such as those used in generative ai in energy. Generative AI, particularly deep learning models, can generate realistic and detailed climate simulations with fewer computational resources, enabling a wider exploration of climate scenarios and their potential impacts. The concept of digital twins, which involves creating dynamic virtual replicas of the Earth's climate system, integrates real-time data to continuously update and refine models, supporting complex scenario analysis for climate adaptation and disaster prevention. This makes ai in simulation a critical tool for future planning.A parallel trend gaining significant traction is the increasing focus on hyper-local weather forecasting and the prediction of extreme weather events. There is a growing demand across sectors like agriculture, energy, and transportation for highly granular and accurate real-time weather predictions. This is where applied ai in energy and utilities becomes crucial. AI, particularly machine learning and deep learning, is instrumental in meeting this demand by analyzing vast datasets to identify patterns that traditional models might miss. This enables the generation of forecasts with much higher spatial and temporal resolution, down to the neighborhood level. The overarching driver of this trend is the increasing frequency and intensity of extreme weather events, which necessitates more precise and timely predictions to mitigate their devastating impacts on lives and economies.
What challenges does the Ai-based Climate Modelling Industry face during its growth?
- A significant challenge affecting industry growth is the persistent issue of data scarcity, inconsistent quality, and limited accessibility, which hinders the development of robust and reliable AI climate models.
A persistent challenge hindering the widespread adoption of artificial intelligence in climate modeling is related to data scarcity, quality, and accessibility. AI models, particularly deep learning algorithms, depend on vast, high-quality datasets for training and validation. The effectiveness of AI-based climate predictions is directly correlated with the comprehensiveness and accuracy of this input data. However, data scarcity is a particularly acute problem in many regions where the infrastructure for comprehensive climate data collection is inadequate. This creates significant geographical gaps in global datasets, leading to models that may not accurately represent the climate dynamics of these underrepresented areas. The lack of granular, high-resolution data for climate data downscaling is a significant barrier to making accurate local and regional climate projections.The high computational cost and resource requirements for developing and operating sophisticated AI-based climate models present another significant market challenge. Training deep learning models on the colossal datasets required for climate science necessitates high-performance computing infrastructure, such as supercomputers or large-scale cloud computing platforms. This reliance translates into high financial costs and significant energy consumption, creating barriers to entry for many research institutions and smaller companies. The energy footprint of AI itself is a growing concern, as the carbon emissions from training and running these complex models can be substantial. As models grow in size and sophistication to achieve higher resolution, their requirements for processing power and energy also increase, making scalability a critical issue.
Exclusive Customer Landscape
The ai-based climate modelling market forecasting report includes the adoption lifecycle of the market, covering from the innovator’s stage to the laggard’s stage. It focuses on adoption rates in different regions based on penetration. Furthermore, the ai-based climate modelling market report also includes key purchase criteria and drivers of price sensitivity to help companies evaluate and develop their market growth analysis strategies.
Customer Landscape
Key Companies & Market Insights
Companies are implementing various strategies, such as strategic alliances, ai-based climate modelling market forecast, partnerships, mergers and acquisitions, geographical expansion, and product/service launches, to enhance their presence in the industry.
AccuWeather Inc. - Offerings in the market center on providing advanced AI-based climate modeling platforms that deliver enhanced predictive analytics and risk assessment capabilities. These solutions leverage technologies such as machine learning and deep learning to analyze vast environmental datasets from sources including satellites and IoT sensors. Key offerings include platforms for hyper-local weather forecasting, long-term climate risk modeling for supply chains, and geospatial foundation models for analyzing climate resilience and land use changes. Companies provide tools that enable high-resolution simulations of the global atmosphere, prediction of extreme weather events, and monitoring of air pollution and greenhouse gas concentrations. These offerings are designed to provide decision-makers in government, finance, agriculture, and energy with actionable insights to mitigate climate risks and adapt to environmental changes.
The industry research and growth report includes detailed analyses of the competitive landscape of the market and information about key companies, including:
- AccuWeather Inc.
- Amazon Web Services Inc.
- Arundo Analytics Inc.
- Atmo Inc.
- ClimateAi. inc.
- DTN LLC
- Google LLC
- International Business Machines Corp.
- Jupiter Intelligence. Inc
- Meteomatics Group
- Microsoft Corp.
- NVIDIA Corp.
- SAS Institute Inc.
- Spire Global Inc.
- The Climate Corp.
- The Tomorrow Companies Inc.
- Xacmaz Technology Pvt. Ltd.
Qualitative and quantitative analysis of companies has been conducted to help clients understand the wider business environment as well as the strengths and weaknesses of key industry players. Data is qualitatively analyzed to categorize companies as pure play, category-focused, industry-focused, and diversified; it is quantitatively analyzed to categorize companies as dominant, leading, strong, tentative, and weak.
Recent Development and News in Ai-Based Climate Modelling Market
In September 2024, International Business Machines Corp., in collaboration with NASA, announced a new open-source AI foundation model for weather and climate applications, making advanced modeling tools more accessible to the global scientific community.In August 2024, NVIDIA Corp. introduced StormCast, a generative AI diffusion model designed to track the development of storm cells with significantly higher spatial and temporal resolution compared to existing machine learning-assisted weather simulations.In March 2024, Microsoft Corp. and NASA launched a partnership to create the Earth CoPilot, which aims to make complex Earth science data more accessible and usable through advanced AI.In March 2024, NVIDIA Corp. unveiled its Earth-2 platform, a cloud service that utilizes generative AI and deep learning to produce super-resolution climate simulations at speeds 1,000 times faster than traditional methods.
Research Analyst Overview
The global AI-based climate modelling market is characterized by the evolving application of sophisticated computational methods to enhance climate change prediction and long-term climate modeling. The integration of machine learning algorithms, deep learning models, and physics-informed neural networks allows for more accurate atmospheric dynamics emulation and the analysis of nonlinear feedback loops. These advancements depend on high-performance computing infrastructure and cloud computing resources to manage extensive geophysical data processing and complex climate data simulation. The use of generative adversarial networks is also adapting how entities approach computational fluid dynamics and multivariate environmental data, leading to more nuanced climate scenario analysis and predictive climate analytics that shape ongoing strategies within the sector.This technological progression directly supports a growing array of applications focused on resilience and risk mitigation, with market participants seeing a 32% increase in demand for granular analytics. Digital twin climate models and geospatial foundation models are becoming central to developing precise hyper-local weather forecasting, effective early warning systems, and comprehensive disaster risk management frameworks. Through detailed satellite imagery analysis and processing of earth observation data, ai-powered decarbonization analytics enable robust carbon footprint monitoring and emission monitoring. The emphasis is shifting toward climate risk analytics and ai-driven risk assessment, with a parallel development of sustainable ai models and explainable ai for climate to ensure transparent and responsible climate resilience planning and real-time climate simulations.
Dive into Technavio’s robust research methodology, blending expert interviews, extensive data synthesis, and validated models for unparalleled Ai-based Climate Modelling Market insights. See full methodology.
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Market Scope
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Report Coverage
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Details
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Page number
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305
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Base year
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2024
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Historic period
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2019 - 2023 |
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Forecast period
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2025-2029
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Growth momentum & CAGR
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Accelerating at a CAGR of 20.0%
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Market growth 2024-2029
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USD 497315.1 thousand
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Market structure
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Fragmented
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YoY growth 2024-2029(%)
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18.2%
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Key countries
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China, Japan, India, Australia, South Korea, Singapore, US, Canada, Mexico, UK, Germany, France, The Netherlands, Italy, Spain, South Africa, UAE, Saudi Arabia, Nigeria, Egypt, Brazil, Argentina, Colombia
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Competitive landscape
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Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks
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What are the Key Data Covered in this Ai-based Climate Modelling Market Research and Growth Report?
- CAGR of the Ai-based Climate Modelling industry during the forecast period
- Detailed information on factors that will drive the growth and forecasting between 2024 and 2029
- Precise estimation of the size of the market and its contribution of the industry in focus to the parent market
- Accurate predictions about upcoming growth and trends and changes in consumer behaviour
- Growth of the market across APAC, North America, Europe, Middle East and Africa, South America
- Thorough analysis of the market’s competitive landscape and detailed information about companies
- Comprehensive analysis of factors that will challenge the ai-based climate modelling market growth of industry companies
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1 Executive Summary
- 1 Executive Summary
- 1.1 Market overview
- Executive Summary - Chart on Market Overview
- Executive Summary - Data Table on Market Overview
- Executive Summary - Chart on Global Market Characteristics
- Executive Summary - Chart on Market by Geography
- Executive Summary - Chart on Market Segmentation by Component
- Executive Summary - Chart on Market Segmentation by Technology
- Executive Summary - Chart on Market Segmentation by Application
- Executive Summary - Chart on Incremental Growth
- Executive Summary - Data Table on Incremental Growth
- Executive Summary - Chart on Company Market Positioning
2 Technavio Analysis
- 2 Technavio Analysis
- 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
- Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
- 2.2 Criticality of inputs and Factors of differentiation
- Chart on Overview on criticality of inputs and factors of differentiation
- 2.3 Factors of disruption
- Chart on Overview on factors of disruption
- 2.4 Impact of drivers and challenges
- Chart on Impact of drivers and challenges in 2024 and 2029
3 Market Landscape
- 3 Market Landscape
- 3.1 Market ecosystem
- Chart on Parent Market
- Data Table on - Parent Market
- 3.2 Market characteristics
- Chart on Market characteristics analysis
- 3.3 Value chain analysis
- Chart on Value chain analysis
4 Market Sizing
- 4 Market Sizing
- 4.1 Market definition
- Data Table on Offerings of companies included in the market definition
- 4.2 Market segment analysis
- 4.3 Market size 2024
- 4.4 Market outlook: Forecast for 2024-2029
- Chart on Global - Market size and forecast 2024-2029 ($ thousand)
- Data Table on Global - Market size and forecast 2024-2029 ($ thousand)
- Chart on Global Market: Year-over-year growth 2024-2029 (%)
- Data Table on Global Market: Year-over-year growth 2024-2029 (%)
5 Historic Market Size
- 5 Historic Market Size
- 5.1 Global AI-Based Climate Modelling Market 2019 - 2023
- Historic Market Size - Data Table on Global AI-Based Climate Modelling Market 2019 - 2023 ($ thousand)
- 5.2 Component segment analysis 2019 - 2023
- Historic Market Size - Component Segment 2019 - 2023 ($ thousand)
- 5.3 Technology segment analysis 2019 - 2023
- Historic Market Size - Technology Segment 2019 - 2023 ($ thousand)
- 5.4 Application segment analysis 2019 - 2023
- Historic Market Size - Application Segment 2019 - 2023 ($ thousand)
- 5.5 Geography segment analysis 2019 - 2023
- Historic Market Size - Geography Segment 2019 - 2023 ($ thousand)
- 5.6 Country segment analysis 2019 - 2023
- Historic Market Size - Country Segment 2019 - 2023 ($ thousand)
6 Five Forces Analysis
- 6 Five Forces Analysis
- 6.1 Five forces summary
- Five forces analysis - Comparison between 2024 and 2029
- 6.2 Bargaining power of buyers
- Bargaining power of buyers - Impact of key factors 2024 and 2029
- 6.3 Bargaining power of suppliers
- Bargaining power of suppliers - Impact of key factors in 2024 and 2029
- 6.4 Threat of new entrants
- Threat of new entrants - Impact of key factors in 2024 and 2029
- 6.5 Threat of substitutes
- Threat of substitutes - Impact of key factors in 2024 and 2029
- 6.6 Threat of rivalry
- Threat of rivalry - Impact of key factors in 2024 and 2029
- 6.7 Market condition
- Chart on Market condition - Five forces 2024 and 2029
7 Market Segmentation by Component
- 7 Market Segmentation by Component
- 7.1 Market segments
- Chart on Component - Market share 2024-2029 (%)
- Data Table on Component - Market share 2024-2029 (%)
- 7.2 Comparison by Component
- Chart on Comparison by Component
- Data Table on Comparison by Component
- 7.3 Software - Market size and forecast 2024-2029
- Chart on Software - Market size and forecast 2024-2029 ($ thousand)
- Data Table on Software - Market size and forecast 2024-2029 ($ thousand)
- Chart on Software - Year-over-year growth 2024-2029 (%)
- Data Table on Software - Year-over-year growth 2024-2029 (%)
- 7.4 Services - Market size and forecast 2024-2029
- Chart on Services - Market size and forecast 2024-2029 ($ thousand)
- Data Table on Services - Market size and forecast 2024-2029 ($ thousand)
- Chart on Services - Year-over-year growth 2024-2029 (%)
- Data Table on Services - Year-over-year growth 2024-2029 (%)
- 7.5 Market opportunity by Component
- Market opportunity by Component ($ thousand)
- Data Table on Market opportunity by Component ($ thousand)
8 Market Segmentation by Technology
- 8 Market Segmentation by Technology
- 8.1 Market segments
- Chart on Technology - Market share 2024-2029 (%)
- Data Table on Technology - Market share 2024-2029 (%)
- 8.2 Comparison by Technology
- Chart on Comparison by Technology
- Data Table on Comparison by Technology
- 8.3 Machine learning - Market size and forecast 2024-2029
- Chart on Machine learning - Market size and forecast 2024-2029 ($ thousand)
- Data Table on Machine learning - Market size and forecast 2024-2029 ($ thousand)
- Chart on Machine learning - Year-over-year growth 2024-2029 (%)
- Data Table on Machine learning - Year-over-year growth 2024-2029 (%)
- 8.4 Deep learning - Market size and forecast 2024-2029
- Chart on Deep learning - Market size and forecast 2024-2029 ($ thousand)
- Data Table on Deep learning - Market size and forecast 2024-2029 ($ thousand)
- Chart on Deep learning - Year-over-year growth 2024-2029 (%)
- Data Table on Deep learning - Year-over-year growth 2024-2029 (%)
- 8.5 NLP - Market size and forecast 2024-2029
- Chart on NLP - Market size and forecast 2024-2029 ($ thousand)
- Data Table on NLP - Market size and forecast 2024-2029 ($ thousand)
- Chart on NLP - Year-over-year growth 2024-2029 (%)
- Data Table on NLP - Year-over-year growth 2024-2029 (%)
- 8.6 Computer vision - Market size and forecast 2024-2029
- Chart on Computer vision - Market size and forecast 2024-2029 ($ thousand)
- Data Table on Computer vision - Market size and forecast 2024-2029 ($ thousand)
- Chart on Computer vision - Year-over-year growth 2024-2029 (%)
- Data Table on Computer vision - Year-over-year growth 2024-2029 (%)
- 8.7 Reinforcement learning - Market size and forecast 2024-2029
- Chart on Reinforcement learning - Market size and forecast 2024-2029 ($ thousand)
- Data Table on Reinforcement learning - Market size and forecast 2024-2029 ($ thousand)
- Chart on Reinforcement learning - Year-over-year growth 2024-2029 (%)
- Data Table on Reinforcement learning - Year-over-year growth 2024-2029 (%)
- 8.8 Market opportunity by Technology
- Market opportunity by Technology ($ thousand)
- Data Table on Market opportunity by Technology ($ thousand)
9 Market Segmentation by Application
- 9 Market Segmentation by Application
- 9.1 Market segments
- Chart on Application - Market share 2024-2029 (%)
- Data Table on Application - Market share 2024-2029 (%)
- 9.2 Comparison by Application
- Chart on Comparison by Application
- Data Table on Comparison by Application
- 9.3 Weather forecasting and early warning systems - Market size and forecast 2024-2029
- Chart on Weather forecasting and early warning systems - Market size and forecast 2024-2029 ($ thousand)
- Data Table on Weather forecasting and early warning systems - Market size and forecast 2024-2029 ($ thousand)
- Chart on Weather forecasting and early warning systems - Year-over-year growth 2024-2029 (%)
- Data Table on Weather forecasting and early warning systems - Year-over-year growth 2024-2029 (%)
- 9.4 Climate change prediction and long-term modelling - Market size and forecast 2024-2029
- Chart on Climate change prediction and long-term modelling - Market size and forecast 2024-2029 ($ thousand)
- Data Table on Climate change prediction and long-term modelling - Market size and forecast 2024-2029 ($ thousand)
- Chart on Climate change prediction and long-term modelling - Year-over-year growth 2024-2029 (%)
- Data Table on Climate change prediction and long-term modelling - Year-over-year growth 2024-2029 (%)
- 9.5 Carbon footprint and emission monitoring - Market size and forecast 2024-2029
- Chart on Carbon footprint and emission monitoring - Market size and forecast 2024-2029 ($ thousand)
- Data Table on Carbon footprint and emission monitoring - Market size and forecast 2024-2029 ($ thousand)
- Chart on Carbon footprint and emission monitoring - Year-over-year growth 2024-2029 (%)
- Data Table on Carbon footprint and emission monitoring - Year-over-year growth 2024-2029 (%)
- 9.6 Disaster risk management - Market size and forecast 2024-2029
- Chart on Disaster risk management - Market size and forecast 2024-2029 ($ thousand)
- Data Table on Disaster risk management - Market size and forecast 2024-2029 ($ thousand)
- Chart on Disaster risk management - Year-over-year growth 2024-2029 (%)
- Data Table on Disaster risk management - Year-over-year growth 2024-2029 (%)
- 9.7 Others - Market size and forecast 2024-2029
- Chart on Others - Market size and forecast 2024-2029 ($ thousand)
- Data Table on Others - Market size and forecast 2024-2029 ($ thousand)
- Chart on Others - Year-over-year growth 2024-2029 (%)
- Data Table on Others - Year-over-year growth 2024-2029 (%)
- 9.8 Market opportunity by Application
- Market opportunity by Application ($ thousand)
- Data Table on Market opportunity by Application ($ thousand)
10 Customer Landscape
- 10 Customer Landscape
- 10.1 Customer landscape overview
- Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
11 Geographic Landscape
- 11 Geographic Landscape
- 11.1 Geographic segmentation
- Chart on Market share by geography 2024-2029 (%)
- Data Table on Market share by geography 2024-2029 (%)
- 11.2 Geographic comparison
- Chart on Geographic comparison
- Data Table on Geographic comparison
- 11.3 APAC - Market size and forecast 2024-2029
- Chart on APAC - Market size and forecast 2024-2029 ($ thousand)
- Data Table on APAC - Market size and forecast 2024-2029 ($ thousand)
- Chart on APAC - Year-over-year growth 2024-2029 (%)
- Data Table on APAC - Year-over-year growth 2024-2029 (%)
- Chart on Regional Comparison - APAC
- Data Table on Regional Comparison - APAC
- 11.3.1 China - Market size and forecast 2024-2029
- Chart on China - Market size and forecast 2024-2029 ($ thousand)
- Data Table on China - Market size and forecast 2024-2029 ($ thousand)
- Chart on China - Year-over-year growth 2024-2029 (%)
- Data Table on China - Year-over-year growth 2024-2029 (%)
- 11.3.2 Japan - Market size and forecast 2024-2029
- Chart on Japan - Market size and forecast 2024-2029 ($ thousand)
- Data Table on Japan - Market size and forecast 2024-2029 ($ thousand)
- Chart on Japan - Year-over-year growth 2024-2029 (%)
- Data Table on Japan - Year-over-year growth 2024-2029 (%)
- 11.3.3 India - Market size and forecast 2024-2029
- Chart on India - Market size and forecast 2024-2029 ($ thousand)
- Data Table on India - Market size and forecast 2024-2029 ($ thousand)
- Chart on India - Year-over-year growth 2024-2029 (%)
- Data Table on India - Year-over-year growth 2024-2029 (%)
- 11.3.4 Australia - Market size and forecast 2024-2029
- Chart on Australia - Market size and forecast 2024-2029 ($ thousand)
- Data Table on Australia - Market size and forecast 2024-2029 ($ thousand)
- Chart on Australia - Year-over-year growth 2024-2029 (%)
- Data Table on Australia - Year-over-year growth 2024-2029 (%)
- 11.3.5 South Korea - Market size and forecast 2024-2029
- Chart on South Korea - Market size and forecast 2024-2029 ($ thousand)
- Data Table on South Korea - Market size and forecast 2024-2029 ($ thousand)
- Chart on South Korea - Year-over-year growth 2024-2029 (%)
- Data Table on South Korea - Year-over-year growth 2024-2029 (%)
- 11.3.6 Singapore - Market size and forecast 2024-2029
- Chart on Singapore - Market size and forecast 2024-2029 ($ thousand)
- Data Table on Singapore - Market size and forecast 2024-2029 ($ thousand)
- Chart on Singapore - Year-over-year growth 2024-2029 (%)
- Data Table on Singapore - Year-over-year growth 2024-2029 (%)
- 11.4 North America - Market size and forecast 2024-2029
- Chart on North America - Market size and forecast 2024-2029 ($ thousand)
- Data Table on North America - Market size and forecast 2024-2029 ($ thousand)
- Chart on North America - Year-over-year growth 2024-2029 (%)
- Data Table on North America - Year-over-year growth 2024-2029 (%)
- Chart on Regional Comparison - North America
- Data Table on Regional Comparison - North America
- 11.4.1 US - Market size and forecast 2024-2029
- Chart on US - Market size and forecast 2024-2029 ($ thousand)
- Data Table on US - Market size and forecast 2024-2029 ($ thousand)
- Chart on US - Year-over-year growth 2024-2029 (%)
- Data Table on US - Year-over-year growth 2024-2029 (%)
- 11.4.2 Canada - Market size and forecast 2024-2029
- Chart on Canada - Market size and forecast 2024-2029 ($ thousand)
- Data Table on Canada - Market size and forecast 2024-2029 ($ thousand)
- Chart on Canada - Year-over-year growth 2024-2029 (%)
- Data Table on Canada - Year-over-year growth 2024-2029 (%)
- 11.4.3 Mexico - Market size and forecast 2024-2029
- Chart on Mexico - Market size and forecast 2024-2029 ($ thousand)
- Data Table on Mexico - Market size and forecast 2024-2029 ($ thousand)
- Chart on Mexico - Year-over-year growth 2024-2029 (%)
- Data Table on Mexico - Year-over-year growth 2024-2029 (%)
- 11.5 Europe - Market size and forecast 2024-2029
- Chart on Europe - Market size and forecast 2024-2029 ($ thousand)
- Data Table on Europe - Market size and forecast 2024-2029 ($ thousand)
- Chart on Europe - Year-over-year growth 2024-2029 (%)
- Data Table on Europe - Year-over-year growth 2024-2029 (%)
- Chart on Regional Comparison - Europe
- Data Table on Regional Comparison - Europe
- 11.5.1 UK - Market size and forecast 2024-2029
- Chart on UK - Market size and forecast 2024-2029 ($ thousand)
- Data Table on UK - Market size and forecast 2024-2029 ($ thousand)
- Chart on UK - Year-over-year growth 2024-2029 (%)
- Data Table on UK - Year-over-year growth 2024-2029 (%)
- 11.5.2 Germany - Market size and forecast 2024-2029
- Chart on Germany - Market size and forecast 2024-2029 ($ thousand)
- Data Table on Germany - Market size and forecast 2024-2029 ($ thousand)
- Chart on Germany - Year-over-year growth 2024-2029 (%)
- Data Table on Germany - Year-over-year growth 2024-2029 (%)
- 11.5.3 France - Market size and forecast 2024-2029
- Chart on France - Market size and forecast 2024-2029 ($ thousand)
- Data Table on France - Market size and forecast 2024-2029 ($ thousand)
- Chart on France - Year-over-year growth 2024-2029 (%)
- Data Table on France - Year-over-year growth 2024-2029 (%)
- 11.5.4 The Netherlands - Market size and forecast 2024-2029
- Chart on The Netherlands - Market size and forecast 2024-2029 ($ thousand)
- Data Table on The Netherlands - Market size and forecast 2024-2029 ($ thousand)
- Chart on The Netherlands - Year-over-year growth 2024-2029 (%)
- Data Table on The Netherlands - Year-over-year growth 2024-2029 (%)
- 11.5.5 Italy - Market size and forecast 2024-2029
- Chart on Italy - Market size and forecast 2024-2029 ($ thousand)
- Data Table on Italy - Market size and forecast 2024-2029 ($ thousand)
- Chart on Italy - Year-over-year growth 2024-2029 (%)
- Data Table on Italy - Year-over-year growth 2024-2029 (%)
- 11.5.6 Spain - Market size and forecast 2024-2029
- Chart on Spain - Market size and forecast 2024-2029 ($ thousand)
- Data Table on Spain - Market size and forecast 2024-2029 ($ thousand)
- Chart on Spain - Year-over-year growth 2024-2029 (%)
- Data Table on Spain - Year-over-year growth 2024-2029 (%)
- 11.6 Middle East and Africa - Market size and forecast 2024-2029
- Chart on Middle East and Africa - Market size and forecast 2024-2029 ($ thousand)
- Data Table on Middle East and Africa - Market size and forecast 2024-2029 ($ thousand)
- Chart on Middle East and Africa - Year-over-year growth 2024-2029 (%)
- Data Table on Middle East and Africa - Year-over-year growth 2024-2029 (%)
- Chart on Regional Comparison - Middle East and Africa
- Data Table on Regional Comparison - Middle East and Africa
- 11.6.1 South Africa - Market size and forecast 2024-2029
- Chart on South Africa - Market size and forecast 2024-2029 ($ thousand)
- Data Table on South Africa - Market size and forecast 2024-2029 ($ thousand)
- Chart on South Africa - Year-over-year growth 2024-2029 (%)
- Data Table on South Africa - Year-over-year growth 2024-2029 (%)
- 11.6.2 UAE - Market size and forecast 2024-2029
- Chart on UAE - Market size and forecast 2024-2029 ($ thousand)
- Data Table on UAE - Market size and forecast 2024-2029 ($ thousand)
- Chart on UAE - Year-over-year growth 2024-2029 (%)
- Data Table on UAE - Year-over-year growth 2024-2029 (%)
- 11.6.3 Saudi Arabia - Market size and forecast 2024-2029
- Chart on Saudi Arabia - Market size and forecast 2024-2029 ($ thousand)
- Data Table on Saudi Arabia - Market size and forecast 2024-2029 ($ thousand)
- Chart on Saudi Arabia - Year-over-year growth 2024-2029 (%)
- Data Table on Saudi Arabia - Year-over-year growth 2024-2029 (%)
- 11.6.4 Nigeria - Market size and forecast 2024-2029
- Chart on Nigeria - Market size and forecast 2024-2029 ($ thousand)
- Data Table on Nigeria - Market size and forecast 2024-2029 ($ thousand)
- Chart on Nigeria - Year-over-year growth 2024-2029 (%)
- Data Table on Nigeria - Year-over-year growth 2024-2029 (%)
- 11.6.5 Egypt - Market size and forecast 2024-2029
- Chart on Egypt - Market size and forecast 2024-2029 ($ thousand)
- Data Table on Egypt - Market size and forecast 2024-2029 ($ thousand)
- Chart on Egypt - Year-over-year growth 2024-2029 (%)
- Data Table on Egypt - Year-over-year growth 2024-2029 (%)
- 11.7 South America - Market size and forecast 2024-2029
- Chart on South America - Market size and forecast 2024-2029 ($ thousand)
- Data Table on South America - Market size and forecast 2024-2029 ($ thousand)
- Chart on South America - Year-over-year growth 2024-2029 (%)
- Data Table on South America - Year-over-year growth 2024-2029 (%)
- Chart on Regional Comparison - South America
- Data Table on Regional Comparison - South America
- 11.7.1 Brazil - Market size and forecast 2024-2029
- Chart on Brazil - Market size and forecast 2024-2029 ($ thousand)
- Data Table on Brazil - Market size and forecast 2024-2029 ($ thousand)
- Chart on Brazil - Year-over-year growth 2024-2029 (%)
- Data Table on Brazil - Year-over-year growth 2024-2029 (%)
- 11.7.2 Argentina - Market size and forecast 2024-2029
- Chart on Argentina - Market size and forecast 2024-2029 ($ thousand)
- Data Table on Argentina - Market size and forecast 2024-2029 ($ thousand)
- Chart on Argentina - Year-over-year growth 2024-2029 (%)
- Data Table on Argentina - Year-over-year growth 2024-2029 (%)
- 11.7.3 Colombia - Market size and forecast 2024-2029
- Chart on Colombia - Market size and forecast 2024-2029 ($ thousand)
- Data Table on Colombia - Market size and forecast 2024-2029 ($ thousand)
- Chart on Colombia - Year-over-year growth 2024-2029 (%)
- Data Table on Colombia - Year-over-year growth 2024-2029 (%)
- 11.8 Market opportunity by geography
- Market opportunity by geography ($ thousand)
- Data Tables on Market opportunity by geography ($ thousand)
12 Drivers, Challenges, and Opportunity
- 12 Drivers, Challenges, and Opportunity
- 12.1 Market drivers
- Escalating demand for enhanced accuracy and granularity in climate projections
- Increasing investment and policy support for climate technology
- Advancements in AI and computational power
- 12.2 Market challenges
- Data scarcity, quality, and accessibility
- High computational cost and resource requirements
- Model interpretability, trust, and integration with physical models
- 12.3 Impact of drivers and challenges
- Impact of drivers and challenges in 2024 and 2029
- 12.4 Market opportunities
- Emergence of generative AI and digital twins in climate modeling
- Proliferation of hyper-local weather forecasting and extreme event prediction
- Escalating investments and strategic cross-sector collaborations
13 Competitive Landscape
- 13 Competitive Landscape
- 13.1 Overview
- 13.2 Competitive Landscape
- Overview on criticality of inputs and factors of differentiation
- 13.3 Landscape disruption
- Overview on factors of disruption
- 13.4 Industry risks
- Impact of key risks on business
14 Competitive Analysis
- 14 Competitive Analysis
- 14.1 Companies profiled
- 14.2 Company ranking index
- 14.3 Market positioning of companies
- Matrix on companies position and classification
- 14.4 Amazon Web Services Inc.
- Amazon Web Services Inc. - Overview
- Amazon Web Services Inc. - Product / Service
- Amazon Web Services Inc. - Key news
- Amazon Web Services Inc. - Key offerings
- SWOT
- 14.5 Arundo Analytics Inc.
- Arundo Analytics Inc. - Overview
- Arundo Analytics Inc. - Product / Service
- Arundo Analytics Inc. - Key offerings
- SWOT
- 14.6 Atmo Inc.
- Atmo Inc. - Overview
- Atmo Inc. - Product / Service
- Atmo Inc. - Key offerings
- SWOT
- 14.7 ClimateAi. inc.
- ClimateAi. inc. - Overview
- ClimateAi. inc. - Product / Service
- ClimateAi. inc. - Key offerings
- SWOT
- 14.8 DTN LLC
- DTN LLC - Overview
- DTN LLC - Product / Service
- DTN LLC - Key offerings
- SWOT
- 14.9 Google LLC
- Google LLC - Overview
- Google LLC - Product / Service
- Google LLC - Key offerings
- SWOT
- 14.10 International Business Machines Corp.
- International Business Machines Corp. - Overview
- International Business Machines Corp. - Business segments
- International Business Machines Corp. - Key news
- International Business Machines Corp. - Key offerings
- International Business Machines Corp. - Segment focus
- SWOT
- 14.11 Jupiter Intelligence. Inc
- Jupiter Intelligence. Inc - Overview
- Jupiter Intelligence. Inc - Product / Service
- Jupiter Intelligence. Inc - Key offerings
- SWOT
- 14.12 Meteomatics Group
- Meteomatics Group - Overview
- Meteomatics Group - Product / Service
- Meteomatics Group - Key offerings
- SWOT
- 14.13 Microsoft Corp.
- Microsoft Corp. - Overview
- Microsoft Corp. - Business segments
- Microsoft Corp. - Key news
- Microsoft Corp. - Key offerings
- Microsoft Corp. - Segment focus
- SWOT
- 14.14 NVIDIA Corp.
- NVIDIA Corp. - Overview
- NVIDIA Corp. - Business segments
- NVIDIA Corp. - Key news
- NVIDIA Corp. - Key offerings
- NVIDIA Corp. - Segment focus
- SWOT
- 14.15 Spire Global Inc.
- Spire Global Inc. - Overview
- Spire Global Inc. - Product / Service
- Spire Global Inc. - Key offerings
- SWOT
- 14.16 The Climate Corp.
- The Climate Corp. - Overview
- The Climate Corp. - Product / Service
- The Climate Corp. - Key offerings
- SWOT
- 14.17 The Tomorrow Companies Inc.
- The Tomorrow Companies Inc. - Overview
- The Tomorrow Companies Inc. - Product / Service
- The Tomorrow Companies Inc. - Key offerings
- SWOT
- 14.18 Xacmaz Technology Pvt. Ltd.
- Xacmaz Technology Pvt. Ltd. - Overview
- Xacmaz Technology Pvt. Ltd. - Product / Service
- Xacmaz Technology Pvt. Ltd. - Key offerings
- SWOT
15 Appendix
- 15 Appendix
- 15.1 Scope of the report
- Market definition
- Objectives
- Notes and caveats
- 15.2 Inclusions and exclusions checklist
- Inclusions checklist
- Exclusions checklist
- 15.3 Currency conversion rates for US$
- Currency conversion rates for US$
- 15.4 Research methodology
- 15.5 Data procurement
- 15.6 Data validation
- 15.7 Validation techniques employed for market sizing
- Validation techniques employed for market sizing
- 15.8 Data synthesis
- 15.9 360 degree market analysis
- 360 degree market analysis
- 15.10 List of abbreviations
INFORMATION SOURCES
DATA ANALYSIS
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