AI in Environmental Protection

Global AI in Environmental Protection Market Size, Share & Trends Analysis Report by Deployment Type (Cloud and On-Premises), by Application (Energy Management, Water Management, and Carbon Footprints Management, Waste Management, and Others) and Forecasts, 2019 – 2025Global AI in environmental protection market is expected to grow impressively over the forecast period 2019–2025. Increasing pollution across the globe have surged the need for monitoring and reducing pollution through advanced technology such as AI. The major reasons for increasing pollution are extensive use of fossil fuels to generate energy in various verticals and various types of wastes generated across the globe. Fossil fuels are rock-like, gas or liquid resources that generate energy when burnt. As per WHO, air pollution causes an estimated 7 million mortalities across the globe each year, and 9 out of 10 people breath air containing air pollutants. Indoor and outdoor pollution creates severe challenges for a healthy life and as a result, people are exposed to various allergies, malfunction and heart diseases. People breathing polluted air may develop diseases such as stroke, heart diseases, lung cancer, chronic obstructive pulmonary diseases, and respiratory infection including pneumonia.
Furthermore, thousands of tons of waste are generated across the globe, out of which only a mere amount is recycled, leaving thousands of tons of waste unrecycled and untreated, which cannot be efficiently handled by the current waste management systems. Use of advanced technology such as AI by automating the processes of garbage sorting and disposing of is likely to bring in better disposal methods to recycle sustainably. Thereby, leading to the growth of the market over the forecast period. There is a large information pool regarding the environment protection, harnessing which, can be proved very useful. AI analyzes these large amounts of data by using techniques such as machine learning, deep learning, natural language processing, adaptive learning, and computer vision. Harnessing these technologies, enterprises can develop innumerable smart applications that can take accurate critical decision autonomously, without human intervention.
The global AI in environmental protection market is segmented on the basis of deployment type, application, and region. On the basis of deployment type, the market is divided into on-premises and cloud. Whereas, on the basis of application, the report analyzes energy management, water management, waste management, carbon footprint management, and others application. Geographically, the market is segmented into North America, Europe, Asia-Pacific, and Rest of the World. North America held the dominating position in 2018 and is expected to continue to do so over the forecast period. North America is expected to be followed by Europe and Asia-Pacific in terms of revenue generation in 2018. Furthermore, the global AI in environmental protection market consists of several market players that adopt various strategies such as mergers and acquisitions, product offering expansion, geographical expansion, and partnerships and collaborations. Some of the key market players include Google LLC, Stem Inc., Hazama Ando Corp., IBM Corp., Verdigris Technologies, Inc., Raycatch Ltd., HST Solar, Honeywell International Inc., Siemens AG and so on.
Research Methodology
The market study of the global AI in environmental protection market is incorporated by extensive primary and secondary research conducted by a research team at OMR. Secondary research has been conducted to refine the available data to break down the market in various segments, derive total market size, market forecast, and growth rate. Different approaches have been worked on to derive the market value and market growth rate. Our team collects facts and data related to the market from different geography to provide a better regional outlook. In the report, the country-level analysis is provided by analyzing various regional players, regional tax laws and policies, consumer behavior and macroeconomic factors. Numbers extracted from Secondary research have been authenticated by conducting proper primary research. It includes tracking down key people from the industry and interviewing them to validate the data. This enables our analyst to derive the closest possible figures without any major deviations in the actual number. Our analysts try to contact as many executives, managers, key opinion leaders, and industry experts. Primary research brings the authenticity of our reports.
Secondary Sources Include:
• Financial reports of companies involved in the market
• Whitepapers, research-papers and news blogs
• Company websites and their product catalog
The report is intended for market research firms, investment companies, third-party service providers, AI system providers, system integrators, cloud service providers for overall market analysis and competitive analysis. The report will serve as a source for 360-degree analysis of the market thoroughly delivering insights into the market for better business decisions.
Market Segmentation:
1. Global AI in Environmental Protection Market Research and Analysis by Deployment Type
2. Global AI in Environmental Protection Market Research and Analysis by Application
The Report Covers:
• Comprehensive research methodology of the global AI in environmental protection market.
• This report also includes a detailed and extensive market overview with key analyst insights.
• An exhaustive analysis of macro and micro factors influencing the market guided by key recommendations.
• Analysis of regional regulations and other government policies impacting the global AI in environmental protection market.
• Insights about market determinants which are stimulating the global AI in environmental protection market.
• Detailed and extensive market segments with regional distribution of forecast revenues.
• Extensive profiles and recent developments of market players.