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 AI in Climate Change Mitigation Market

AI in Climate Change Mitigation Market Size, Share & Trends Analysis Report By Component (Hardware, Software, Services), By Deployment Mode (Cloud-Based, On-Premises), By End-Use Industry (Energy & Utilities, Transportation, Agriculture, Construction, Government and Public Sectors), By Application (Carbon Footprint Management, Energy Optimization, Climate Risk Assessment, Sustainable Agriculture), By Region, And By Segment Forecasts, 2025-2034

Report ID : 3124 | Published : 2025-06-30 | Pages: 180 | Format: PDF/EXCEL/Power BI Dashbord

 Global AI in Climate Change Mitigation Market size is valued at USD 16.7 Bn in 2024 and is predicted to reach USD 80.6 Bn by the year 2034 at a 17.3% CAGR during the forecast period for 2025-2034.

The primary emphasis of the worldwide AI in climate change mitigation market is the application of AI to fight climate change and mitigate its consequences through data analysis. Artificial intelligence enables the use of renewable energy sources, analysis and control of energy consumption, and measurements of carbon footprint. This industry plays a significant role in addressing environmental issues by promoting global climate change initiatives and facilitating environmentally friendly manufacturing operations.

AI in Climate Change Mitigation Market

The steady growth of the AI in climate change mitigation market is being driven by the development of AI technology and the rising need for practical solutions to climate change. Moreover, the market is expected to rise due to the increased global push for carbon neutrality, particularly in regions with stringent environmental legislation, such as North America and Europe. Additionally, as businesses worldwide embrace AI-based solutions for climate change, the global market for AI in climate change mitigation is expected to develop significantly in the near future. More people are aware of environmental issues and international trade, including the Paris Agreement, which is pressuring governments and businesses globally to explore ways to utilize AI to reduce carbon dioxide emissions and increase energy efficiency. Future market growth is predicted to be the outcome of this shift.

However, the high upfront costs associated with implementing AI solutions, data privacy concerns, and the energy needed to power big data AI systems are a few of the AI in climate change mitigation market's problems. Stakeholders are adopting more sustainable technologies, though, as a result of growing awareness of the long-term economic and environmental effects of AI adoption. On the other hand, it is anticipated that the AI in climate change mitigation market will be dominated by robust collaboration among governments, business enterprises, and environmental non-governmental organizations.

Competative Landscape:

List of Prominent Players in the AI in Climate Change Mitigation Market are:

  • Amazon Web Service
  • Google
  • IBM Corporation
  • Siemens
  • DeepMind
  • C3.Ai
  • Predikto
  • Elemental Excelerator
  • Microsoft
  • Tesla
  • Carbon Clean Solutions
  • Enel
  • Schneider Electric
  • Xpansiv
  • Autogrid

Market Segmentation:

The AI in Climate Change Mitigation market is segmented based on component, deployment mode, application, and end-user. Based on component, the market is segmented into Services, Hardware, and Software. By deployment mode, the market is segmented into Cloud-Based and On-Premises. By application, the market is segmented into Energy Optimization, Carbon Footprint Management, Climate Risk Assessment, and Sustainable Agriculture. By end-user, the market is segmented into Construction, Energy & Utilities, Agriculture, Transportation, Government and Public Sectors.

Based On The Application, The Energy Optimization Segment Is Accounted As A Major Contributor To The AI In Climate Change Mitigation Market

The Energy Optimization category is expected to hold a major global market share in 2021 as nations and businesses put more emphasis on energy system optimization in order to lower greenhouse gas emissions and improve energy efficiency. In addition to managing demand-response mechanisms, integrating renewable energy sources, and enhancing the overall resilience and sustainability of energy infrastructure, artificial intelligence (AI) technologies are crucial for optimizing energy generation, distribution, and consumption. The market for AI in climate change mitigation is expected to grow due to increasing investments in smart grid technologies, energy-efficient solutions, and renewable energy projects, which will in turn drive demand for AI-driven energy optimization tools and services.

Government And Public Sectors Segment To Witness Growth At A Rapid Rate

The AI in climate change mitigation market was led by the government and public sectors segment due to the important role that public institutions and government agencies play in advancing policy initiatives, providing financing for research projects, and implementing mitigation and adaptation plans for climate change. Additionally, as governments worldwide recognize the urgency of combating climate change, they are investing in AI technologies to enhance disaster preparedness, urban planning, environmental monitoring, and sustainable development initiatives. This area of the in AI in climate change mitigation market has grown as a result of the public sector's embrace of AI solutions, which has been fueled by the robust backing and financing provided by government agencies.

In The Region, The North American AI In Climate Change Mitigation Market Holds A Significant Revenue Share

The North American AI in Climate Change Mitigation market is expected to register the highest market share in revenue in the near future, owing to its investment in AI research and development and cutting-edge machinery. The emergence of new climate modelling methodologies is accelerated by the existence of large and mid-sized technological companies as well as the massive investment in AI in climate change mitigation technologies. In addition, the Asia Pacific is projected to grow rapidly in the global AI in Climate Change Mitigation market due to stringent climate regulations, the EU Green Deal, and the development of artificial intelligence in agriculture and the energy sector. Two excellent examples of countries utilizing AI to integrate renewable energy and monitor carbon levels are Germany and the United Kingdom. Additionally, the focus on renewable energy and smart city initiatives in Germany strengthens the argument for this viewpoint.

AI in Climate Change Mitigation Market Report Scope:

Report Attribute

Specifications

Market Size Value In 2024

USD 16.7 Bn

Revenue Forecast In 2034

USD 80.6 Bn

Growth Rate CAGR

CAGR of 17.3% from 2025 to 2034

Quantitative Units

Representation of revenue in US$ Mn and CAGR from 2025 to 2034

Historic Year

2021 to 2024

Forecast Year

2025-2034

Report Coverage

The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends

Segments Covered

By Component, Deployment Mode, Application, And End-User

Regional Scope

North America; Europe; Asia Pacific; Latin America; Middle East & Africa

Country Scope

U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; The UK; France; Italy; Spain; China; Japan; India; South Korea; Southeast Asia; South Korea; South East Asia

Competitive Landscape

Amazon Web Service, Google, IBM Corporation, Siemens, DeepMind, C3.Ai, Predikto, Elemental Excelerator, Microsoft, Tesla, Carbon Clean Solutions, Enel, Schneider Electric, Xpansiv, and Autogrid.

Customization Scope

Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape.

Pricing and Available Payment Methods

Explore pricing alternatives that are customized to your particular study requirements.

Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global AI in Climate Change Mitigation Market Snapshot

Chapter 4. Global AI in Climate Change Mitigation Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Porter's Five Forces Analysis
4.7. Incremental Opportunity Analysis (US$ MN), 2025-2034
4.8. Global AI in Climate Change Mitigation Market Penetration & Growth Prospect Mapping (US$ Mn), 2024-2034
4.9. Competitive Landscape & Market Share Analysis, By Key Player (2024)
4.10. Use/impact of AI on AI IN CLIMATE CHANGE MITIGATION MARKET Industry Trends

Chapter 5. AI in Climate Change Mitigation Market Segmentation 1: By Component, Estimates & Trend Analysis
5.1. Market Share by Component, 2024 & 2034
5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following Component:

5.2.1. Hardware
5.2.2. Software
5.2.3. Services

Chapter 6. AI in Climate Change Mitigation Market Segmentation 2: By Deployment Mode, Estimates & Trend Analysis
6.1. Market Share by Deployment Mode, 2024 & 2034
6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following Deployment Mode:

6.2.1. Cloud-Based
6.2.2. On-Premises

Chapter 7. AI in Climate Change Mitigation Market Segmentation 3: By Application, Estimates & Trend Analysis
7.1. Market Share by Application, 2024 & 2034
7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following Application:

7.2.1. Carbon Footprint Management
7.2.2. Energy Optimization
7.2.3. Climate Risk Assessment
7.2.4. Sustainable Agriculture

Chapter 8. AI in Climate Change Mitigation Market Segmentation 4: By End-User Industry, Estimates & Trend Analysis
8.1. Market Share by End-User Industry, 2024 & 2034
8.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following End-User Industry:

8.2.1. Energy and Utilities
8.2.2. Transportation
8.2.3. Agriculture
8.2.4. Construction

Chapter 9. AI in Climate Change Mitigation Market Segmentation 5: Regional Estimates & Trend Analysis
9.1. Global AI in Climate Change Mitigation Market, Regional Snapshot 2024 & 2034
9.2. North America

9.2.1. North America AI in Climate Change Mitigation Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034

9.2.1.1. US
9.2.1.2. Canada

9.2.2. North America AI in Climate Change Mitigation Market Revenue (US$ Million) Estimates and Forecasts by Component, 2021-2034
9.2.3. North America AI in Climate Change Mitigation Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2021-2034
9.2.4. North America AI in Climate Change Mitigation Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
9.2.5. North America AI in Climate Change Mitigation Market Revenue (US$ Million) Estimates and Forecasts by End-User Industry, 2021-2034

9.3. Europe

9.3.1. Europe AI in Climate Change Mitigation Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034

9.3.1.1. Germany
9.3.1.2. U.K.
9.3.1.3. France
9.3.1.4. Italy
9.3.1.5. Spain
9.3.1.6. Rest of Europe

9.3.2. Europe AI in Climate Change Mitigation Market Revenue (US$ Million) Estimates and Forecasts by Component, 2021-2034
9.3.3. Europe AI in Climate Change Mitigation Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2021-2034
9.3.4. Europe AI in Climate Change Mitigation Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
9.3.5. Europe AI in Climate Change Mitigation Market Revenue (US$ Million) Estimates and Forecasts by End-User Industry, 2021-2034

9.4. Asia Pacific

9.4.1. Asia Pacific AI in Climate Change Mitigation Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034

9.4.1.1. India
9.4.1.2. China
9.4.1.3. Japan
9.4.1.4. Australia
9.4.1.5. South Korea
9.4.1.6. Hong Kong
9.4.1.7. Southeast Asia
9.4.1.8. Rest of Asia Pacific

9.4.2. Asia Pacific AI in Climate Change Mitigation Market Revenue (US$ Million) Estimates and Forecasts by Component, 2021-2034
9.4.3. Asia Pacific AI in Climate Change Mitigation Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2021-2034
9.4.4. Asia Pacific AI in Climate Change Mitigation Market Revenue (US$ Million) Estimates and Forecasts By Application, 2021-2034
9.4.5. Asia Pacific AI in Climate Change Mitigation Market Revenue (US$ Million) Estimates and Forecasts by End-User Industry, 2021-2034

9.5. Latin America

9.5.1. Latin America AI in Climate Change Mitigation Market Revenue (US$ Million) Estimates and Forecasts by Country, 2021-2034

9.5.1.1. Brazil
9.5.1.2. Mexico
9.5.1.3. Rest of Latin America

9.5.2. Latin America AI in Climate Change Mitigation Market Revenue (US$ Million) Estimates and Forecasts by Component, 2021-2034
9.5.3. Latin America AI in Climate Change Mitigation Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2021-2034
9.5.4. Latin America AI in Climate Change Mitigation Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
9.5.5. Latin America AI in Climate Change Mitigation Market Revenue (US$ Million) Estimates and Forecasts by End-User Industry, 2021-2034

9.6. Middle East & Africa

9.6.1. Middle East & Africa AI in Climate Change Mitigation Market Revenue (US$ Million) Estimates and Forecasts by country, 2021-2034

9.6.1.1. GCC Countries
9.6.1.2. Israel
9.6.1.3. South Africa
9.6.1.4. Rest of Middle East and Africa

9.6.2. Middle East & Africa AI in Climate Change Mitigation Market Revenue (US$ Million) Estimates and Forecasts by Component, 2021-2034
9.6.3. Middle East & Africa AI in Climate Change Mitigation Market Revenue (US$ Million) Estimates and Forecasts by Deployment Mode, 2021-2034
9.6.4. Middle East & Africa AI in Climate Change Mitigation Market Revenue (US$ Million) Estimates and Forecasts by Application, 2021-2034
9.6.5. Middle East & Africa AI in Climate Change Mitigation Market Revenue (US$ Million) Estimates and Forecasts by End-User Industry, 2021-2034

Chapter 10. Competitive Landscape
10.1. Major Mergers and Acquisitions/Strategic Alliances
10.2. Company Profiles

10.2.1. Google

10.2.1.1. Business Overview
10.2.1.2. Key Product/Service
10.2.1.3. Financial Performance
10.2.1.4. Geographical Presence
10.2.1.5. Recent Developments with Business Strategy

10.2.2. IBM Corporation
10.2.3. Microsoft
10.2.4. Tesla
10.2.5. Siemens
10.2.6. Carbon Clean Solutions
10.2.7. DeepMind
10.2.8. C3 Ai
10.2.9. Xpansiv
10.2.10. Predikto
10.2.11. Elemental Excelerator
10.2.12. Enel
10.2.13. Schneider Electric
10.2.14. Amazon Web Service
10.2.15. Autogrid

Segmentation of AI in Climate Change Mitigation Market-

AI in Climate Change Mitigation Market By Component-

  • Services
  • Hardware
  • Software

AI in Climate Change Mitigation Market

AI in Climate Change Mitigation Market By Deployment Mode-

  • Cloud-Based
  • On-Premises

AI in Climate Change Mitigation Market By Application-

  • Energy Optimization
  • Carbon Footprint Management
  • Climate Risk Assessment
  • Sustainable Agriculture

AI in Climate Change Mitigation Market By End-User-

  • Construction
  • Energy & Utilities
  • Agriculture
  • Transportation
  • Government and Public Sectors

AI in Climate Change Mitigation Market By Region-

North America-

  • The US
  • Canada

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • South East Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Mexico
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of the Middle East and Africa

InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.

Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.

Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.

Secondary research

The secondary research sources that are typically mentioned to include, but are not limited to:

  • Company websites, financial reports, annual reports, investor presentations, broker reports, and SEC filings.
  • External and internal proprietary databases, regulatory databases, and relevant patent analysis
  • Statistical databases, National government documents, and market reports
  • Press releases, news articles, and webcasts specific to the companies operating in the market

The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista

Primary Research:

Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies

The contributors who typically take part in such a course include, but are not limited to: 

  • Industry participants: CEOs, CBO, CMO, VPs, marketing/ type managers, corporate strategy managers, and national sales managers, technical personnel, purchasing managers, resellers, and distributors.
  • Outside experts: Valuation experts, Investment bankers, research analysts specializing in specific markets
  • Key opinion leaders (KOLs) specializing in unique areas corresponding to various industry verticals
  • End-users: Vary mainly depending upon the market

Data Modeling and Analysis:

In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.

The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.

To know more about the research methodology used for this study, kindly contact us/click here.

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Frequently Asked Questions

How big is the AI in Climate Change Mitigation Market Size?

AI in Climate Change Mitigation Market is expected to grow at a 17.3% CAGR during the forecast period for 2025-2034.

Amazon Web Service, Google, IBM Corporation, Siemens, DeepMind, C3.Ai, Predikto, Elemental Excelerator, Microsoft, Tesla, Carbon Clean Solutions, Enel

Component, Deployment Mode, Application, and End-User are the key segments of the AI in Climate Change Mitigation Market.

North America region is leading the AI in Climate Change Mitigation Market.

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