AI in 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 was 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 Highlights:

• AI optimizes resource use and reduces pollution for sustainable practices.
• Machine learning enhances biodiversity preservation and sustainable agriculture.
• North America leads with strong AI adoption for environmental sustainability.
• Asia-Pacific grows rapidly due to AI and sustainability focus.

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 Trends:

• AI-Powered Growth in Environmental Sustainability: The AI in Environmental Sustainability Market is experiencing robust expansion, propelled by two key drivers. The rising integration of AI is a major force behind this market's growth, as environmental sustainability gains traction globally. This focus stems from efforts across industries to implement sustainable practices-such as optimizing natural resource use, curbing pollution and energy waste, preserving biodiversity, and promoting sustainable agriculture to combat climate change. Recent advancements and wider adoption of artificial intelligence have amplified its role in these efforts. According to IBM's "The State of Sustainability Readiness 2024" report, 61% of respondents believe IT investments for sustainability will unlock growth and opportunities for their organizations, underscoring the surging demand for AI in this space.
• North America: North America is projected to command a substantial share of the AI in Environmental Sustainability Market. The region's growth is fueled by the expanding AI market and its increasing adoption, paired with a heightened emphasis on environmental sustainability, which collectively drives market momentum.
• Asia-Pacific: The Asia-Pacific region is expected to see market growth during the forecast period, driven by the growing use of AI in countries such as China, Japan, South Korea, and India. Additionally, an increasing commitment to environmental sustainability is spurring the adoption of various technologies, further boosting the market in this region.

List of Top AI in Environmental Sustainability Companies:

• IBM Corporation
• Microsoft Corporation
• AMP Robotics 
• Google 
• Schneider Electric

Key Benefits of this Report:

• Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, and other sub-segments.
• Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
• Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape future market developments.
• Actionable Recommendations: Utilize the insights to exercise strategic decisions to uncover new business streams and revenues in a dynamic environment.
• Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

• Historical data from 2022 to 2024 & forecast data from 2025 to 2030
• Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, and Trend Analysis
• Competitive Positioning, Strategies, and Market Share Analysis
• Revenue Growth and Forecast Assessment of segments and regions, including countries
• Company Profiling (Strategies, Products, Financial Information, and Key Developments, among others)

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

By Technology

• Machine Learning
• Deep Learning
• Computer Vision
• Robotic and 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

---

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 and 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. AMP Robotics 

10.4. Google 

10.5. Schneider Electric 

10.6. Siemens AG 

10.7. Climate AI 

10.8. Climate Trace

10.9. John Deere 

IBM Corporation

Microsoft Corporation

AMP Robotics 

Google 

Schneider Electric 

Siemens AG 

Climate AI 

Climate Trace

John Deere