Climate Data Analytics Market Size & Share Analysis - Growth Trends & Forecasts (2025 - 2030)

The Climate Data Analytics Market Report is Segmented by Type (Climate Model Evaluation, Climate Data Processing and Visualization, Climate Data Formats, and Statistical Methods), End-User Industry (Government and Public Sector, Energy and Utilities, Agriculture, Insurance and Risk Management, Infrastructure and Transportation, and Healthcare), and Geography (North America, Europe, Asia Pacific, Middle East and Africa, and Latin America). The Market Sizes and Forecasts Regarding Value (USD) for all the Above Segments are Provided.

Climate Data Analytics Market Size

Compare market size and growth of Climate Data Analytics Market with other markets in Technology, Media and Telecom Industry

Climate Data Analytics Market Analysis

The Climate Data Analytics Market size is estimated at USD 1.61 billion in 2025, and is expected to reach USD 5.65 billion by 2030, at a CAGR of 28.6% during the forecast period (2025-2030).

  • As climate change's effects intensify, a growing chorus of governments, organizations, and individuals are honing in on tracking and mitigating these environmental shifts. Highlighting this urgency, global initiatives like the Paris Agreement and various nations' sustainability goals underscore the critical need for precise climate data analytics. In 2023 and 2024, bolstered by these global commitments, governments ramped up investments in climate data infrastructure, fueling a surge in demand for analytics.
  • In 2023, breakthroughs in AI, machine learning (ML), and big data significantly enhanced the accuracy and efficiency of climate data analysis. These advancements bolstered the precision of key applications such as weather forecasting, environmental monitoring, and climate predictions.
  • Climate tech is witnessing a surge, with innovative startups and significant investments making headlines. In October 2024, the U.S. Department of Energy’s (DOE) Office of Fossil Energy and Carbon Management (FECM) unveiled a commitment of over USD 518 million. This funding, part of the Bipartisan Infrastructure Law, backs 23 projects across 19 states, all aimed at bolstering national decarbonization efforts. These initiatives focus on crafting and validating large-scale carbon storage infrastructures, targeting a substantial reduction in carbon dioxide (CO2) emissions from both industrial operations and power plants. Furthermore, they address legacy atmospheric emissions, all while championing job creation and prioritizing environmental concerns in local communities. Such robust investments are poised to catalyze market growth.
  • As urban centers evolve into smarter entities, the role of data-driven climate analytics becomes paramount. These tools are essential for crafting sustainable infrastructures, curbing carbon emissions, and bolstering resilience against climate change. This momentum gained traction in 2023, with cities harnessing climate data to fine-tune energy consumption, water management, and waste disposal.
  • Climate data analytics play a pivotal role in forecasting natural disasters, from hurricanes to droughts. Given the uptick in frequency and intensity of such events in 2023 exacerbated by climate change there's been a pronounced surge in demand for both predictive analytics and real-time climate data solutions. Organizations are increasingly leaning on these technologies to enhance their disaster preparedness and response.
  • The global shift towards renewable energy and low-carbon solutions is amplifying the demand for climate data tools, especially for energy optimization. Startups are at the forefront, crafting climate data platforms that leverage satellite imagery, IoT sensors, and AI. These innovations are rapidly gaining favor with both corporations and governmental bodies.
  • Smaller organizations, especially in developing regions, often face a significant barrier in the form of high initial investments required for cutting-edge climate data analytics solutions. Despite a decline in costs, many still grapple with the hefty upfront expenses tied to infrastructure and software. The effectiveness of climate analytics is largely contingent on the quality and comprehensiveness of the data used. However, many developing countries struggle with inconsistent and unreliable climate data, undermining the efficacy of their analytics. Furthermore, fragmented data poses challenges for seamless integration and analysis.
  • Ongoing conflicts, like the war in Ukraine, disrupt global supply chains, notably those underpinning technology and software for climate data analytics. Such disruptions can delay the development, rollout, and upkeep of tools and platforms essential for climate data. Shortages in vital hardware, including sensors, satellite imaging gear, and cloud infrastructure, can delay the establishment of climate monitoring systems in the impacted areas.

Climate Data Analytics Industry Overview

The climate data analytics market is highly fragmented, with global and local conglomerates and specialized players operating across various segments. while several large multinational companies dominate specific high-value segments, numerous regional and niche players contribute to the overall competition, making the market highly diverse. this fragmentation is driven by the demand for climate data analytics solutions across a wide range of end-user verticals, allowing both large and small companies to coexist and thrive in the market.

Leading companies in the climate data analytics market include IBM Corporation, Schneider Electric SE, Verisk Analytics Inc., MSCI Inc., Schneider Electric SE, and Others. These companies have established strong brand recognition and extensive global operations, enabling them to command significant market share. Their strengths lie in innovation, broad product portfolios, and strong distribution networks. These leaders often engage in strategic acquisitions and partnerships to maintain their competitive edge and expand their market reach.

Companies are increasingly integrating AI, machine learning (ML), and big data technologies to develop advanced climate data analytics tools. These innovations lead to enhanced climate prediction models, real-time data collection, and refined risk assessments. Furthermore, climate data analytics firms are partnering with universities and research institutions to co-create new tools and models, bolstering their research capabilities and spurring innovations in climate science.

Climate Data Analytics Market Leaders

  1. IBM Corporation

  2. Schneider Electric SE

  3. SAP SE

  4. Accenture plc

  5. Siemens AG

  6. *Disclaimer: Major Players sorted in no particular order
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Climate Data Analytics Market News

  • September 2024: IBM, in collaboration with NASA and with contributions from Oak Ridge National Laboratory, unveiled a new AI foundation model tailored for diverse weather and climate applications. This model, now open-source, is accessible to scientists, developers, and businesses alike. Designed to be flexible and scalable, it adeptly tackles challenges ranging from immediate weather concerns to long-term climate projections.
  • December 2023: The United Nations (UN) has teamed up with Microsoft Corp in a bid to bolster global climate efforts. Their collaboration focuses on equipping the UNFCCC (United Nations Framework Convention on Climate Change) with an advanced AI-driven platform, complemented by a worldwide climate data hub. This initiative seeks to enhance the assessment and analysis of global emissions reduction endeavors, making the verification process more straightforward for the 196 nations committed to the Paris Agreement.

Climate Data Analytics Market Report - Table of Contents

1. INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2. RESEARCH METHODOLOGY

3. EXECUTIVE SUMMARY

4. MARKET INSIGHTS

  • 4.1 Market Overview
  • 4.2 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.2.1 Threat of New Entrants
    • 4.2.2 Bargaining Power of Buyers/Consumers
    • 4.2.3 Bargaining Power of Suppliers
    • 4.2.4 Threat of Substitute Products
    • 4.2.5 Intensity of Competitive Rivalry
  • 4.3 Impact of COVID-19 Aftereffects and Other Macroeconomic Factors on the Market

5. MARKET DYNAMICS

  • 5.1 Market Drivers
    • 5.1.1 Advances in AI, Machine Learning, and Big Data Technologies
    • 5.1.2 Rising Need for Disaster Management
  • 5.2 Market Restraints
    • 5.2.1 High Cost of Advanced Climate Analytics Tools

6. MARKET SEGMENTATION

  • 6.1 By Type
    • 6.1.1 Climate Model Evaluation
    • 6.1.2 Climate Data Processing and Visualization
    • 6.1.3 Climate Data Formats
    • 6.1.4 Statistical Methods
  • 6.2 By End-user Industry
    • 6.2.1 Government and Public Sector
    • 6.2.2 Energy and Utilities
    • 6.2.3 Agriculture
    • 6.2.4 Insurance and Risk Management
    • 6.2.5 Infrastructure and Transportation
    • 6.2.6 Healthcare
  • 6.3 By Geography***
    • 6.3.1 North America
    • 6.3.2 Europe
    • 6.3.3 Asia
    • 6.3.4 Australia and New Zealand
    • 6.3.5 Middle East and Africa
    • 6.3.6 Latin America

7. COMPETITIVE LANDSCAPE

  • 7.1 Company Profiles
    • 7.1.1 IBM Corporation
    • 7.1.2 Schneider Electric SE
    • 7.1.3 Verisk Analytics Inc.
    • 7.1.4 MSCI Inc.
    • 7.1.5 SAP SE
    • 7.1.6 Siemens AG
    • 7.1.7 Accenture plc
    • 7.1.8 Teradata Corporation
    • 7.1.9 EarthScan
    • 7.1.10 Planet Labs Inc.
  • *List Not Exhaustive

8. INVESTMENT ANALYSIS

9. FUTURE OUTLOOK OF THE MARKET

**Subject to Availability
***In the final report, Asia, Australia, and New Zealand will be studied together as 'Asia Pacific'.
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Climate Data Analytics Industry Segmentation

Climate data analytics involves the advanced analysis of extensive climate-related data, employing techniques like statistical analysis, machine learning, and artificial intelligence. The data encompasses a range of information, including temperature, precipitation, air quality, wind patterns, sea levels, and greenhouse gas emissions.

The study tracks the revenue accrued through the sale of climate data analytics by various players across the globe. It also tracks the key market parameters, underlying growth influencers, and major vendors operating in the industry, which supports the market estimations and growth rates over the forecast period. The study further analyses the overall impact of COVID-19 aftereffects and other macroeconomic factors on the market. The report’s scope encompasses market sizing and forecasts for the various market segments.

The climate data analytics market is segmented by type (climate model evaluation, climate data processing and visualization, climate data formats, and statistical methods), end-user industry (government and public sector, energy and utilities, agriculture, insurance and risk management, infrastructure and transportation, and healthcare), and geography (North America, Europe, Asia Pacific, Middle East and Africa, and Latin America). The market sizes and forecasts regarding value (USD) for all the above segments are provided.

By Type Climate Model Evaluation
Climate Data Processing and Visualization
Climate Data Formats
Statistical Methods
By End-user Industry Government and Public Sector
Energy and Utilities
Agriculture
Insurance and Risk Management
Infrastructure and Transportation
Healthcare
By Geography*** North America
Europe
Asia
Australia and New Zealand
Middle East and Africa
Latin America
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Climate Data Analytics Market Research FAQs

How big is the Climate Data Analytics Market?

The Climate Data Analytics Market size is expected to reach USD 1.61 billion in 2025 and grow at a CAGR of 28.60% to reach USD 5.65 billion by 2030.

What is the current Climate Data Analytics Market size?

In 2025, the Climate Data Analytics Market size is expected to reach USD 1.61 billion.

Who are the key players in Climate Data Analytics Market?

IBM Corporation, Schneider Electric SE, SAP SE, Accenture plc and Siemens AG are the major companies operating in the Climate Data Analytics Market.

Which is the fastest growing region in Climate Data Analytics Market?

Asia Pacific is estimated to grow at the highest CAGR over the forecast period (2025-2030).

Which region has the biggest share in Climate Data Analytics Market?

In 2025, the North America accounts for the largest market share in Climate Data Analytics Market.

What years does this Climate Data Analytics Market cover, and what was the market size in 2024?

In 2024, the Climate Data Analytics Market size was estimated at USD 1.15 billion. The report covers the Climate Data Analytics Market historical market size for years: 2019, 2020, 2021, 2022, 2023 and 2024. The report also forecasts the Climate Data Analytics Market size for years: 2025, 2026, 2027, 2028, 2029 and 2030.

Climate Data Analytics Industry Report

Statistics for the 2025 Climate Data Analytics market share, size and revenue growth rate, created by Mordor Intelligence™ Industry Reports. Climate Data Analytics analysis includes a market forecast outlook for 2025 to 2030 and historical overview. Get a sample of this industry analysis as a free report PDF download.

Climate Data Analytics Market Size & Share Analysis - Growth Trends & Forecasts (2025 - 2030)