AI in Environmental Sustainability Market Exclusive Trends Analysis with Forecast to 2034

InsightAce Analytic Pvt. Ltd. announces the release of a market assessment report on the "Global AI in Environmental Sustainability Market- (By Type (Machine Learning, Natural Language Processing (NLP), Computer Vision, Deep Learning, Expert Systems and Robotics and Automation); By Application, By End-User Industry, By Region, Trends, Industry Competition Analysis, Revenue and Forecast To 2034."

According to the latest research by InsightAce Analytic, the Global AI in Environmental Sustainability Market Size was valued at USD 17.2 Bn in 2024 and is predicted to reach USD 100.3 Bn by 2034 at a 19.4% CAGR during the forecast period for 2025-2034.

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The use of artificial intelligence (AI) technology to further and assist environmental sustainability initiatives is known as "AI in environmental sustainability." Using AI to perform activities like resource optimization, waste reduction, environmental monitoring, and climate change mitigation are some examples of how this might be done. AI can assist in creating more effective and efficient plans for sustainability and environmental preservation by evaluating massive datasets, finding trends, and forecasting future events. Society can achieve substantial progress in reaching long-term environmental sustainability goals by incorporating AI into a variety of areas.

List of Prominent Players in the AI in Environmental Sustainability Market:

• Microsoft Corporation
• IBM Corporation
• Google LLC
• Amazon Web Services (AWS)
• Intel Corporation
• NVIDIA Corporation
• Siemens AG
• General Electric (GE)
• Schneider Electric SE
• Accenture plc
• Oracle Corporation
• Enablon (Wolters Kluwer)
• SAP SE
• C3.ai Inc.
• SAS Institute Inc.
• ABB Ltd.
• Wipro Limited

Market Dynamics:

Drivers:

Advancements in artificial intelligence (AI) technologies—such as machine learning, data analytics, and sensor networks—have enabled large-scale collection, analysis, and interpretation of environmental data. These innovations allow for more precise monitoring, forecasting, and management of environmental resources and challenges.

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Challenges:

A significant shortage of skilled professionals capable of developing, implementing, and managing AI systems remains a key challenge, potentially limiting the widespread adoption and effectiveness of AI technologies in environmental sustainability. Moreover, integrating AI tools into existing infrastructures often involves high costs and technical complexity. 

Regional Trends:

North America is anticipated to hold a dominant share in the AI in Environmental Sustainability Market, driven by the presence of leading technology companies, continuous innovation, and rapid adoption of advanced AI solutions. The region’s strong research ecosystem and focus on sustainability initiatives further contribute to market growth. Europe also represents a significant market, supported by robust economic development and proactive environmental policies. Government-led initiatives and funding programs such as Horizon Europe and the European Green Deal are promoting AI-driven sustainability projects. Moreover, an increasing number of European enterprises are integrating AI technologies into their sustainability strategies to reduce carbon emissions, fulfill corporate social responsibility (CSR) commitments, and comply with environmental regulations.

Recent Developments:

·       In July 2024, Product Footprinting, a new AI-powered technology designed to help businesses calculate carbon emissions for products and lessen environmental effects, was introduced by the sustainability platform CO2 AI. Leveraging artificial intelligence, Paris-based CO2 AI offers solutions designed to assist large and complex companies in measuring impact and identifying levers to decrease impact at scale. The company cites a study by CO2 AI and BCG that shows only 38% of businesses obtain sufficient product-level data from suppliers, and claims that the new solution addresses the requirement for more precise and quick product carbon footprinting.

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Segmentation of AI in Environmental Sustainability Market

AI in Environmental Sustainability Market- By Type

·       Machine Learning

·       Natural Language Processing (NLP)

·       Computer Vision

·       Deep Learning,

·       Expert Systems

·       Robotics and Automation

AI in Environmental Sustainability Market- By Application

·       Climate Change Mitigation

·       Renewable Energy Optimization

·       Environmental Monitoring and Assessment

·       Waste Management and Recycling

·       Emission Reduction and Control

·       Conservation and Biodiversity

·       Smart Agriculture and Precision Farming

·       Water Management and Conservation

·       Sustainable Urban Planning

·       Green Building and Energy Efficiency

AI in Environmental Sustainability Market- By End-Use Industry

·       Energy and Utilities

·       Agriculture

·       Transportation and Logistics

·       Manufacturing

·       Healthcare and Lifesciences

·       Government and Public Sector

·       Retail and Consumer Goods

·       Education and Research

·       Others

AI in Environmental Sustainability Market- By Region

North America-

·       The US

·       Canada

·       Mexico

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

·       Argentina

·       Rest of Latin America

 Middle East & Africa-

·       GCC Countries

·       South Africa

·       Rest of Middle East and Africa

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