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市場調查報告書
商品編碼
1731632

人工智慧與環境永續性：未來預測（2025-2030）

AI in Environmental Sustainability Market - Forecasts from 2025 to 2030
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 143 Pages | 商品交期: 最快1-2個工作天內

價格
簡介目錄

預計 2025 年環境永續性人工智慧市場價值將達到 249.51 億美元，預計到 2030 年將以 14.58% 的複合年成長率成長，達到 492.72 億美元。

由於擴大採用人工智慧技術來推動企業營運的永續性，環境永續性人工智慧市場正在經歷強勁成長。機器學習、NLP、電腦視覺和機器人自動化等技術進步正在改變環境永續性市場。此外，人們意識的提高以及政府法規的加強推動了各行業的需求，從而推動了市場的發展。

市場趨勢

  • 人工智慧促進環境永續性發展：在兩大關鍵促進因素的推動下，面向環境永續性的人工智慧市場正在強勁擴張。隨著環境永續性成為全球驅動力，人工智慧的日益融合成為市場成長的主要動力。這一重點源於整個產業為應對氣候變遷而實施的永續實踐的努力，包括最佳化自然資源的利用、遏制污染和能源浪費、保護永續農業。隨著人工智慧的近期發展和廣泛應用，其在這些努力中的作用變得越來越重要。根據IBM的《2024年永續發展準備》報告，61%的受訪者認為，在永續性的IT投資將為其組織釋放成長和機會，這證實了該領域對人工智慧的蓬勃發展的需求。
  • 北美：北美預計將佔據環境永續性人工智慧市場的大部分佔有率。該地區的成長受到人工智慧市場的不斷擴大和日益普及以及環境永續性舉措的推動，這些因素正在推動市場發展勢頭。
  • 亞太地區：由於中國、日本、韓國和印度等國家擴大採用人工智慧，預計亞太地區在預測期內將出現市場成長。此外，對環境永續性的持續努力正在刺激各種技術的採用，進一步推動該地區的市場發展。

報告中介紹的主要企業包括 IBM 公司、AMP Robotics、微軟公司、Cognizant 和 Climate AI。

本報告的主要優點

  • 深刻分析：獲得涵蓋主要地區和新興地區的深入市場洞察，重點關注客戶群、政府政策和社會經濟因素、消費者偏好、垂直行業和其他子區隔。
  • 競爭格局：了解全球主要企業所採用的策略策略，並了解正確策略帶來的潛在市場滲透。
  • 市場促進因素和未來趨勢：探索動態因素和關鍵市場趨勢以及它們將如何影響市場的未來發展。
  • 可行的建議：利用洞察力進行策略決策，在動態環境中開闢新的業務流和收益。
  • 適用範圍廣：對於新興企業、研究機構、顧問公司、中小企業和大型企業來說，它都是實用且具有成本效益的。

它有什麼用途？

產業與市場洞察、商業機會評估、產品需求預測、打入市場策略、地理擴張、資本支出決策、法律規範與影響、新產品開發、競爭影響

分析範圍

  • 歷史資料（2022-2024）和預測資料（2025-2030）
  • 成長機會、挑戰、供應鏈前景、法規結構、顧客行為、趨勢分析
  • 競爭對手定位、策略和市場佔有率分析
  • 按部門和地區（國家）分類的收益成長和預測分析
  • 公司概況（策略、產品、財務資訊、主要趨勢等）

目錄

第1章 引言

  • 市場概覽
  • 市場定義
  • 分析範圍
  • 市場區隔
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表
  • 相關利益者的主要利益

第2章分析方法

  • 分析設計
  • 分析過程

第3章執行摘要

  • 主要發現
  • CXO觀點

第4章 市場動態

  • 市場促進因素
  • 市場限制
  • 波特五力分析
  • 產業價值鏈分析
  • 分析師觀點

5. 人工智慧環境永續性市場（按技術）

  • 介紹
  • 機器學習
  • 深度學習
  • 電腦視覺
  • 機器人與自動化
  • 其他

6. 人工智慧在環境永續性市場的應用

  • 介紹
  • 緩解氣候變化
  • 能源管理
  • 廢棄物管理
  • 永續農業
  • 其他

7. 人工智慧在環境永續性市場的最終用戶

  • 介紹
  • 能源與公用事業
  • 廢棄物管理
  • 運輸
  • 農業
  • 其他

8. 按地區分類的環境永續性人工智慧市場

  • 介紹
  • 北美洲
    • 依技術
    • 按用途
    • 按最終用戶
    • 按國家
      • 美國
      • 加拿大
      • 墨西哥
  • 南美洲
    • 依技術
    • 按用途
    • 按最終用戶
    • 按國家
      • 巴西
      • 阿根廷
      • 其他
  • 歐洲
    • 依技術
    • 按用途
    • 按最終用戶
    • 按國家
      • 英國
      • 德國
      • 法國
      • 西班牙
      • 其他
  • 中東和非洲
    • 依技術
    • 按用途
    • 按最終用戶
    • 按國家
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 其他
  • 亞太地區
    • 依技術
    • 按用途
    • 按最終用戶
    • 按國家
      • 中國
      • 日本
      • 韓國
      • 澳洲
      • 印度
      • 印尼
      • 泰國
      • 其他

第9章競爭格局及分析

  • 主要企業和策略分析
  • 市場佔有率分析
  • 企業合併、協議、商業合作
  • 競爭儀錶板

第10章 公司簡介

  • IBM Corporation
  • Microsoft Corporation
  • AMP Robotics
  • Google
  • Schneider Electric
  • Siemens AG
  • Climate AI
  • Climate Trace
  • John Deere
簡介目錄
Product Code: KSI061617338

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 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.

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 drive 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.

Some of the major players covered in this report include IBM Corporation, AMP Robotics, Microsoft Corporation, Cognizant, Climate AI, among others.

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

TABLE OF CONTENTS

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