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市场调查报告书
商品编码
1731632

人工智慧与环境永续性：未来预测（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个工作天内

价格
简介目录

预计 2025 年环境永续性人工智慧市场价值将达到 249.51 亿美元，预计到 2030 年将以 14.58% 的复合年增长率成长，达到 492.72 亿美元。

由于越来越多地采用人工智慧技术来推动企业营运的永续性，环境永续性人工智慧市场正在经历强劲成长。机器学习、NLP、电脑视觉和机器人自动化等技术进步正在改变环境永续性市场。此外，人们意识的提高以及政府法规的加强推动了各行业的需求，从而推动了市场的发展。

市场趋势

  • 人工智慧促进环境永续性发展：在两大关键驱动因素的推动下，面向环境永续性的人工智慧市场正在强劲扩张。随着环境永续性成为全球驱动力，人工智慧的日益融合成为市场成长的主要动力。这一重点源于整个产业为应对气候变迁而实施的永续实践的努力，包括优化自然资源的利用、遏制污染和能源浪费、保护永续农业。随着人工智慧的近期发展和广泛应用，其在这些努力中的作用变得越来越重要。根据IBM的《2024年永续发展准备》报告，61%的受访者认为，在永续性的IT投资将为其组织释放成长和机会，这证实了该领域对人工智慧的蓬勃发展的需求。
  • 北美：北美预计将占据环境永续性人工智慧市场的大部分份额。该地区的成长受到人工智慧市场的不断扩大和日益普及以及环境永续性倡议的推动，这些因素正在推动市场发展势头。
  • 亚太地区：由于中国、日本、韩国和印度等国家越来越多地采用人工智慧，预计亚太地区在预测期内将出现市场成长。此外，对环境永续性的持续努力正在刺激各种技术的采用，进一步推动该地区的市场发展。

报告中介绍的主要企业包括 IBM 公司、AMP Robotics、微软公司、Cognizant 和 Climate AI。

本报告的主要优点

  • 深刻分析：获得涵盖主要地区和新兴地区的深入市场洞察，重点关注客户群、政府政策和社会经济因素、消费者偏好、垂直行业和其他子区隔。
  • 竞争格局：了解全球主要企业所采用的策略策略，并了解正确策略带来的潜在市场渗透。
  • 市场驱动因素和未来趋势：探索动态因素和关键市场趋势以及它们将如何影响市场的未来发展。
  • 可行的建议：利用洞察力进行策略决策，在动态环境中开闢新的业务流和收益。
  • 适用范围广：对于新兴企业、研究机构、顾问公司、中小企业和大型企业来说，它都是实用且具有成本效益的。

它有什么用途？

产业与市场洞察、商业机会评估、产品需求预测、打入市场策略、地理扩张、资本支出决策、法律规范与影响、新产品开发、竞争影响

分析范围

  • 历史资料（2022-2024）和预测资料（2025-2030）
  • 成长机会、挑战、供应链前景、法规结构、顾客行为、趋势分析
  • 竞争对手定位、策略和市场占有率分析
  • 按部门和地区（国家）分類的收益成长和预测分析
  • 公司概况（策略、产品、财务资讯、主要趋势等）

目录

第一章 引言

  • 市场概览
  • 市场定义
  • 分析范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关利益者的主要利益

第二章分析方法

  • 分析设计
  • 分析过程

第三章执行摘要

  • 主要发现
  • CXO观点

第四章 市场动态

  • 市场驱动因素
  • 市场限制
  • 波特五力分析
  • 产业价值链分析
  • 分析师观点

5. 人工智慧环境永续性市场（按技术）

  • 介绍
  • 机器学习
  • 深度学习
  • 电脑视觉
  • 机器人与自动化
  • 其他的

6. 人工智慧在环境永续性市场的应用

  • 介绍
  • 缓解气候变化
  • 能源管理
  • 废弃物管理
  • 永续农业
  • 其他的

7. 人工智慧在环境永续性市场的最终用户

  • 介绍
  • 能源与公用事业
  • 废弃物管理
  • 运输
  • 农业
  • 其他的

8. 按地区分類的环境永续性人工智慧市场

  • 介绍
  • 北美洲
    • 依技术
    • 按用途
    • 按最终用户
    • 按国家
      • 美国
      • 加拿大
      • 墨西哥
  • 南美洲
    • 依技术
    • 按用途
    • 按最终用户
    • 按国家
      • 巴西
      • 阿根廷
      • 其他的
  • 欧洲
    • 依技术
    • 按用途
    • 按最终用户
    • 按国家
      • 英国
      • 德国
      • 法国
      • 西班牙
      • 其他的
  • 中东和非洲
    • 依技术
    • 按用途
    • 按最终用户
    • 按国家
      • 沙乌地阿拉伯
      • 阿拉伯聯合大公国
      • 其他的
  • 亚太地区
    • 依技术
    • 按用途
    • 按最终用户
    • 按国家
      • 中国
      • 日本
      • 韩国
      • 澳洲
      • 印度
      • 印尼
      • 泰国
      • 其他的

第九章竞争格局及分析

  • 主要企业和策略分析
  • 市场占有率分析
  • 企业合併、协议、商业合作
  • 竞争仪錶板

第十章 公司简介

  • IBM Corporation
  • Microsoft Corporation
  • AMP Robotics
  • Google
  • Schneider Electric
  • Siemens AG
  • Climate AI
  • Climate Trace
  • John Deere
简介目录
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