AI (Artificial Intelligence) in Environmental Protection Market

AI (Artificial Intelligence) in Environmental Protection Market - Global Industry Share, Growth, Competitive Analysis and Forecast, 2019-2025

Published: Jul 2019 | Report Code: | Category : Artificial Intelligence | Delivery Format: /

Growing environmental concerns such as carbon emission, air pollution, and global warming have surged the need for shifting from conventional sources of energy to renewable sources of energy. Human growing demand for resources is leading to land-use changes, depletion of biodiversity and pollution. Weather patterns, temperatures, and water availability have been disrupting by climate change, leading to impacts on human and natural ecosystems. An enormous amount of information is available than ever before about the environment which can be easily harnessed and used in an efficient way to protect the environment through AI. Cognitive technology enabled by AI is uniquely adopted across the globe for protecting the environment.

WHO estimates that exposure to ambient air pollution causes around 4.2 million mortalities across the globe each year. Moreover, household exposure to smoke from dirty cookstoves and fuels causes around 3.8 million mortalities every year. The organization further estimates that 91% of the global population lives in places where air quality exceeds WHO guideline limits. Air pollution has been a major concern for the communities across the globe and the effect of it can be reduced significantly by adopting clean household fuels and technologies. Furthermore, prioritizing rapid urban transit, walking, and cycling networks, energy-efficient buildings and urban design, improved waste management, and electricity production from renewable power resources will aid in reducing air pollution. Moreover, the use of AI enabled technology are uniquely used to monitor and reduce energy and water consumption, thereby driving the market growth.

AI (Artificial Intelligence) in Environmental Protection Market Report

The report analyzes the market on the basis of deployment type, application, and region. On the basis of region, the market is segmented into North America, Europe, Asia-Pacific, and Rest of the World. North America is expected to hold the dominating position over the forecast period due to the presence of key AI technology providers and extensive adoption of AI technologies across the region. Europe and Asia-Pacific are expected to grow at a significant growth rate over the forecast period 2019–2025. Furthermore, the global artificial intelligence in environmental protection market consists of several market players which are providing AI technology in the environmental protection sector to cater to a wide range of customers across the globe. Some of the key market players include Google LLC, Stem Inc., Hazama Ando Corp., IBM Corp., Verdigris Technologies, Inc., Siemens AG, Honeywell International Inc., Raycatch Ltd., HST Solar, and so on. These players adopt various strategies in order to remain competitive in the global market. Some of the strategies followed by market players are mergers and acquisitions, product offering expansion, geographical expansion, and partnerships and collaborations.

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:

  • Global AI in Environmental Protection Market Research and Analysis by Deployment Type
  • Global AI in Environmental Protection Market Research and Analysis by Application

The Report Covers:

  • Comprehensive research methodology of the global AI in environmental protection.
  • 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.
  • Detailed and extensive market segments with regional distribution of forecast revenues.
  • Extensive profiles and recent developments of market players.

1. Report Summary

1.1. Research Methods and Tools

1.2. Market Breakdown

1.2.1. By Segments

1.2.2. By Geography

1.2.3. By Stakeholders

2. Market Overview and Insights

2.1. Scope of the Report

2.2. Analyst Insight & Current Market Trends

2.2.1. Key Findings

2.2.2. Recommendations

2.2.3. Conclusion

2.3. Rules & Regulations

3. Competitive Landscape

3.1. Company Share Analysis

3.2. Key Strategy Analysis

3.3. Key Company Analysis

3.3.1. Google LLC

3.3.1.1. Overview

3.3.1.2. Financial Analysis

3.3.1.3. Swot Analysis

3.3.1.4. Recent Developments

3.3.2. Hazama Ando Corp.

3.3.2.1. Overview

3.3.2.2. Financial Analysis

3.3.2.3. Swot Analysis

3.3.2.4. Recent Developments

3.3.3. IBM Corp.

3.3.3.1. Overview

3.3.3.2. Financial Analysis

3.3.3.3. Swot Analysis

3.3.3.4. Recent Developments

3.3.4. Honeywell International Inc.

3.3.4.1. Overview

3.3.4.2. Financial Analysis

3.3.4.3. Swot Analysis

3.3.4.4. Recent Developments

3.3.5. Siemens AG

3.3.5.1. Overview

3.3.5.2. Financial Analysis

3.3.5.3. Swot Analysis

3.3.5.4. Recent Developments

4. Market Determinants

4.1. Motivators

4.2. Restraints

4.3. Opportunities

5. Market Segmentation

5.1. Global AI in Environmental Protection Market by Deployment Type

5.1.1. Cloud

5.1.2. On-Premises

5.2. Global AI in Environmental Protection Market by Application

5.2.1. Energy Management

5.2.2. Water Management

5.2.3. Carbon Footprints Management

5.2.4. Waste Management

5.2.5. Others (Weather Prediction)

6. Regional Analysis

6.1. North America

6.1.1. United States

6.1.2. Canada

6.2. Europe

6.2.1. UK

6.2.2. Germany

6.2.3. Italy

6.2.4. Spain

6.2.5. France

6.2.6. Rest of Europe

6.3. Asia-Pacific

6.3.1. China

6.3.2. India

6.3.3. Japan

6.3.4. Rest of Asia-Pacific

6.4. Rest of the World

7. Company Profiles

7.1. ABB Group

7.2. DEXMA

7.3. Energsoft, Inc.

7.4. General Electric Co.

7.5. Google LLC

7.6. Hazama Ando Corp.

7.7. Honeywell International Inc.

7.8. HST Solar

7.9. IBM Corp.

7.10. Itron Inc.

7.11. NEXTracker, Inc.

7.12. Nnergix Environmental Protection SL

7.13. Origami Energy Ltd.

7.14. PowerScout, Inc.

7.15. Raycatch Ltd.

7.16. Schneider Electric SE

7.17. Siemens AG

7.18. Stem, Inc.

7.19. Upside Energy Ltd.

7.20. Verdigris Technologies, Inc.

7.21. Xcel Energy Inc.