AI for Environmental Sustainability Market Size, Share, Opportunities, And Trends By Technology (Machine Learning, Deep Learning, Computer Vision, Robotic Process Automation, Others), By Application (Climate Change Mitigation, Energy Management, Waste Management, Sustainable Agriculture, Others), By End-User (Energy & Utilities, Waste Management, Transportation, Agriculture, Others), And By Geography – Forecasts From 2025 To 2030

AI in Environmental Sustainability Market Size:

The AI in Environmental Sustainability market is estimated at US$24.951 billion in 2025 and is expected to grow at a CAGR of 14.58% to attain US$49.272 billion by 2030.

AI in Environmental Sustainability Market Trends:

AI in the Environmental Sustainability Market is experiencing robust growth due to the increasing adoption of artificial intelligence technologies to drive sustainability in their operations. Technological advancements in machine learning, NLP, computer vision, robotics automation and others are changing the market of environmental sustainability. Also, there is increasing demand from various industries, due to increasing awareness as well as governmental regulations, driving the market.

AI in Environmental Sustainability Market Growth Factors:

• The AI in Environmental Sustainability Market is witnessing significant growth driven by two major factors

Increasing adoption of AI is driving the AI Environmental Sustainability Market: Environmental Sustainability is a growing market due to increased focus across regions for developing sustainable practices across various industrial verticals for responsible and judicial use of natural resources, reducing pollution, and energy waste, conserving biodiversity, practicing sustainable agriculture and others for mitigating climate change. In recent years with greater adoption and advancement in artificial intelligence, there is an increasing role that AI is performing in environmental sustainability.

The data by the IBM global report “The State of Sustainability Readiness 2024”, shows that 61% believe that investment in IT for sustainability will drive growth and opportunity in their organisation. This highlights the growing demand for AI in environmental sustainability.

Growing technological advancement in Artificial Intelligence: There is a significant advancement in artificial intelligence technologies such as machine learning, predictive analytics, computer vision, natural language processing and others. This continued growth is leading to significant changes in the market of environmental sustainability. For example, predictive analytics allows enhanced data processing and thus, offers valuable insights on climate mitigation, waste management and others.

AI in Environmental Sustainability Market Segmentation Analysis:

AI in Environmental Sustainability Market Segmentation Analysis by Technology

• Machine Learning: Machine Learning analyses the vast amount of data that helps in identifying different kinds of patterns and is helpful in making predictions based on the data analysed. It is helpful in climate mitigation, waste management, agriculture and many more. During the forecast period, the growing use of AI will be driven by machine learning, and thus, it is expected to experience significant growth during the forecast period.

AI in Environmental Sustainability Market Geographical Outlook:

The AI in Environmental Sustainability Market report analyses growth factors across the following five regions

• North America: The North American market is estimated to hold a significant market share in the AI in Environmental Sustainability Market. The growing market of AI and increasing adoption of AI will lead to this region’s growth. Also, the growing focus on environmental sustainability will be driving the market.
• Europe: The European market will also grow significantly due to the increasing adoption of AI and the increasing focus on sustainability across various industries.
• Asia-Pacific: The Asia Pacific region will witness growth in the market during the forecast period due to the increasing adoption of AI by countries like China, Japan, South Korea, India and others. Also, the focus on environmental sustainability is growing, leading to various technological adoption.

AI in Environmental Sustainability Market– Competitive Landscape:

• IBM Corporation
• AMP Robotics
• Microsoft Corporation
• Cognizant
• Climate AI

These companies are at the forefront of offering AI solutions in the Environmental Sustainability market.

AI in Environmental Sustainability Market Latest Developments:

• In December 2024: Orbitals Materials and Amazon web services announced the partnership to use AI in developing new data centre decarbonization and efficiency technologies. Orbital will use its AI platform to design, synthesize and test new technology and advanced materials for integrating data centres with carbon removal and cooling technology.

AI in Environmental Sustainability Market Scope:

Report Metric	Details
AI in Environmental Sustainability Market Size in 2025	US$24.951 billion
AI in Environmental Sustainability Market Size in 2030	US$49.272 billion
Growth Rate	CAGR of 14.58%
Study Period	2020 to 2030
Historical Data	2020 to 2023
Base Year	2024
Forecast Period	2025 – 2030
Forecast Unit (Value)	USD Billion
Segmentation	Technology Applications End-User Geography
Geographical Segmentation	North America, South America, Europe, Middle East and Africa, Asia Pacific
List of Major Companies in the AI in Environmental Sustainability Market	IBM Corporation Microsoft Corporation Re Sustainability AMP Robotics Google
Customization Scope	Free report customization with purchase

 

The AI in Environmental Sustainability Market is analysed into the following segments:

• By Technology
  • Machine Learning
  • Deep Learning
  • Computer Vision
  • Robotic Process Automation
  • Others
• By Application
  • Climate Change Mitigation
  • Energy Management
  • Waste Management
  • Sustainable Agriculture
  • Others
• By End-User
  • Energy & Utilities
  • Waste Management
  • Transportation
  • Agriculture
  • Others
• By Geography
  • North America
    • USA
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Others
  • Europe
    • United Kingdom
    • Germany
    • France
    • Spain
    • Others
  • Middle East and Africa
    • Saudi Arabia
    • UAE
    • Others
  • Asia Pacific
    • China
    • Japan
    • South Korea
    • Australia
    • India
    • Indonesia
    • Thailand
    • Others

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1. INTRODUCTION

1.1. Market Overview

1.2. Market Definition

1.3. Scope of the Study

1.4. Market Segmentation

1.5. Currency

1.6. Assumptions

1.7. Base and Forecast Years Timeline

1.8. Key Benefits to the Stakeholder

2. RESEARCH METHODOLOGY  

2.1. Research Design

2.2. Research Processes

3. EXECUTIVE SUMMARY

3.1. Key Findings

3.2. CXO Perspective

4. MARKET DYNAMICS

4.1. Market Drivers

4.2. Market Restraints

4.3. Porter’s Five Forces Analysis

4.3.1. Bargaining Power of Suppliers

4.3.2. Bargaining Power of Buyers

4.3.3. Threat of New Entrants

4.3.4. Threat of Substitutes

4.3.5. Competitive Rivalry in the Industry

4.4. Industry Value Chain Analysis

4.5. Analyst View 

5. AI IN ENVIRONMENTAL SUSTAINABILITY MARKET BY TECHNOLOGY

5.1. Introduction

5.2. Machine Learning

5.3. Deep Learning

5.4. Computer Vision

5.5. Robotic Process Automation

5.6. Others

6. AI IN ENVIRONMENTAL SUSTAINABILITY MARKET BY APPLICATION

6.1. Introduction

6.2. Climate Change Mitigation

6.3. Energy Management

6.4. Waste Management

6.5. Sustainable Agriculture

6.6. Others 

7. AI IN ENVIRONMENTAL SUSTAINABILITY MARKET BY END-USER

7.1. Introduction

7.2. Energy & Utilities

7.3. Waste Management

7.4. Transportation

7.5. Agriculture

7.6. Others

8. AI IN ENVIRONMENTAL SUSTAINABILITY MARKET BY GEOGRAPHY

8.1. Introduction

8.2. North America

8.2.1. By Technology

8.2.2. By Application

8.2.3. By End-User

8.2.4. By Country

8.2.4.1. USA

8.2.4.2. Canada

8.2.4.3. Mexico

8.3. South America

8.3.1. By Technology

8.3.2. By Application

8.3.3. By End-User

8.3.4. By Country

8.3.4.1. Brazil

8.3.4.2. Argentina

8.3.4.3. Others

8.4. Europe

8.4.1. By Technology

8.4.2. By Application

8.4.3. By End-User

8.4.4. By Country

8.4.4.1. United Kingdom

8.4.4.2. Germany

8.4.4.3. France

8.4.4.4. Spain

8.4.4.5. Others

8.5. Middle East and Africa

8.5.1. By Technology

8.5.2. By Application

8.5.3. By End-User

8.5.4. By Country

8.5.4.1. Saudi Arabia

8.5.4.2. UAE

8.5.4.3. Others

8.6. Asia Pacific

8.6.1. By Technology

8.6.2. By Application

8.6.3. By End-User

8.6.4. By Country

8.6.4.1. China

8.6.4.2. Japan

8.6.4.3. South Korea

8.6.4.4. Australia

8.6.4.5. India

8.6.4.6. Indonesia

8.6.4.7. Thailand

8.6.4.8. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

9.1. Major Players and Strategy Analysis

9.2. Market Share Analysis

9.3. Mergers, Acquisitions, Agreements, and Collaborations

9.4. Competitive Dashboard

10. COMPANY PROFILES

10.1. IBM Corporation

10.2. Microsoft Corporation

10.3. Re Sustainability 

10.4. AMP Robotics 

10.5. Google 

10.6. Schneider Electric 

10.7. Siemens AG 

10.8. Climate AI 

10.9. Climate Trace

10.10. John Deere 

IBM Corporation

Microsoft Corporation

Re Sustainability 

AMP Robotics 

Google 

Schneider Electric 

Siemens AG 

Climate AI 

Climate Trace

John Deere