The global artificial intelligence (AI) in renewable energy market size was valued at US$ 8.24 billion in 2021 and it is expected to surpass around US$ 75.82 billion by 2030 with a noteworthy CAGR of 27.9% from 2021 to 2030.

Growth Factors

One of the key factors driving the growth of global artificial intelligence (AI) in renewable energy market is growing demand for electricity in emerging and established regions. The growing need for smarter energy grids is also driving the growth and development of artificial intelligence (AI) in renewable energy in the global market. Another factor that is contributing towards the growing demand of artificial intelligence (AI) in renewable energy sector is digitalization of the energy sector.

Artificial intelligence has helped to identify the bottlenecks of the energy sector. This factor is opening new opportunities for the growth of global artificial intelligence (AI) in renewable energy market. Artificial intelligence uses vast amount of data and information for analyzing and streamlining of processes in renewable energy sector. All of these aforementioned factors are driving the growth of global artificial intelligence (AI) in renewable energy market during the forecast period.

The expansion of global artificial intelligence (AI) in renewable energy market is being propelled by growing demand for renewable energy. The growing adoption of artificial intelligence based smart home solutions is predicted to promote artificial intelligence adoption in the renewable energy sector throughout the forecast period. Artificial intelligence solutions in the renewable energy industry are also being driven by the growing demand to cut electricity prices and energy wastage.

Report Scope of the Artificial Intelligence (AI) in Renewable Energy Market

 

Furthermore, the rising government initiatives in developed and developing nations for the expansion of renewable energy sector are also boosting the growth of global artificial intelligence (AI) in renewable energy market. Moreover, government is also collaborating with major market players for the development of artificial intelligence (AI) in renewable energy market. The artificial intelligence (AI) in renewable energy market is also getting high investments by government as well as market players.

The growing importance for clean and green energy is boosting the growth of artificial intelligence (AI) in renewable energy market over the forecast period. In addition, rising carbon emissions and greenhouse gases emissions are also boosting the growth of renewable energy sector. The renewable energy helps in the reduction of toxic gases in the environment. Thus, the growing concerns regarding environment and surroundings are also driving the growth of renewable energy sector. This is directly impacting the growth of global artificial intelligence (AI) in renewable energy market.

The COVID-19 pandemic had drastic and significant impacts on the growth of renewable energy sector. This directly impacted the growth of global artificial intelligence (AI) in renewable energy market. The manufacturing units of energy were halted or shut down during the coronavirus outbreak. This had substantial impact on the growth and development of global artificial intelligence (AI) in renewable energy market during 2020.

The developed and developing regions such as Europe, North America, and Asia-Pacific are highly adopting artificial intelligence in renewable energy sector. All these regions are contributing towards the growth of global artificial intelligence (AI) in renewable energy market during the forecast period. In addition, the existence of major market players in this market is also boosting the growth of global artificial intelligence (AI) in renewable energy market. The number of strategies is being adopted by market players operating in artificial intelligence (AI) in renewable energy market to enhance their market position.

Application Insights

The demand forecasting segment led the market in 2021 with highest revenue share. The artificial intelligence is very efficient in nature as compared to other technologies. Due to this reason, the artificial intelligence is highly adopted for the improvement of this segment. The artificial intelligence as well as big data helps to manage and forecast the demand for renewable energy. Thus, this factor is directly impacting the growth of artificial intelligence (AI) in renewable energy market over the forecast period.

The infrastructure segment is expected to witness fastest growth in the forecast period. The growth of artificial intelligence (AI) in renewable energy market is being boosted by growing government fundings for infrastructural projects. In addition, government is taking constant efforts for the development of infrastructure. This factor is propelling the growth of the segment.

End Use Insights

The energy generation segment held largest revenue share in 2021. The main task in the utilities of renewable energy is energy generation. The demand for energy generation is being driven by the surge in demand for electricity in developing and developed regions. Thus, this factor is driving the growth of global artificial intelligence (AI) in renewable energy market during the forecast period.

The energy distribution segment is fastest growing segment of the AI in renewable energy market in 2021. The energy distribution is one of prominent task all around the globe. The government is taking efforts for the growth of this segment. This is directly driving the growth of global artificial intelligence (AI) in renewable energy market.

Region Insights

Asia-Pacific dominated the market with largest share in 2021. The countries of Asia-Pacific region such as India do not have enough electricity. The surge in demand for electricity is driving the growth of artificial intelligence (AI) in renewable energy market in Asia-Pacific region. In addition, the presence of major market players operating in artificial intelligence (AI) in renewable energy market are also contributing towards the growth of artificial intelligence (AI) in renewable energy market in Asia-Pacific region.

North America is expected to develop at the fastest rate during the forecast period. The growth of artificial intelligence (AI) in renewable energy market in North America region is being driven by growing utilization and adoption of artificial intelligence technologies and solutions across energy sector. Another factor boosting the growth of artificial intelligence (AI) in renewable energy market in the region is transformation or digitalization of energy sector. In addition, artificial intelligence is being adopted for smart home solutions. This factor is paving way for the expansion of artificial intelligence (AI) in renewable energy market in the North America.

Key Developments

The global artificial intelligence (AI) in renewable energy market is moderately competitive in nature, with a significant number of small and medium sized companies accounting for the majority of sales. Companies have well equipped production facilities and engage in a variety of research and development initiatives and activities to develop and build new and more efficient technologies in the renewable energy industry.

Some of the prominent players in the global artificial intelligence (AI) in renewable energy market include:

• Alpiq
• SmartCloud Inc.
• General Electric
• Siemens AG
• Hazama Ando Corporation
• ATOS SE
• AppOrchid Inc.
• Zen Robotics Ltd.
• Origami Energy Ltd.
• Flex Ltd.

Segments Covered in the Report

(Note*: We offer report based on sub segments as well. Kindly, let us know if you are interested)

By Application

• Robotics
• Renewables Management
• Demand Forecasting
• Safety and Security
• Infrastructure

By End Use

• Energy Generation
• Energy Transmission
• Energy Distribution
• Utilities

By Deployment Type

• On-premise
• Cloud

By Geography

• North America
• U.S.
• Canada
• Europe
• U.K.
• Germany
• France
• Asia-Pacific
• China
• India
• Japan
• South Korea
• Malaysia
• Philippines
• Latin America
• Brazil
• Rest of Latin America
• Middle East & Africa (MEA)
• GCC
• North Africa
• South Africa
• Rest of the Middle East & Africa

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Deployment Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Artificial Intelligence (AI) in Renewable Energy Market 

5.1. COVID-19 Landscape: Artificial Intelligence (AI) in Renewable Energy Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

Chapter 6. Market Dynamics Analysis and Trends

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Artificial Intelligence (AI) in Renewable Energy Market, By End Use

8.1. Artificial Intelligence (AI) in Renewable Energy Market, by End Use Type, 2022-2030

8.1.1. Energy Generation

8.1.1.1. Market Revenue and Forecast (2017-2030)

8.1.2. Energy Transmission

8.1.2.1. Market Revenue and Forecast (2017-2030)

8.1.3. Energy Distribution

8.1.3.1. Market Revenue and Forecast (2017-2030)

8.1.4. Utilities

8.1.4.1. Market Revenue and Forecast (2017-2030)

Chapter 9. Global Artificial Intelligence (AI) in Renewable Energy Market, By Application

9.1. Artificial Intelligence (AI) in Renewable Energy Market, by Application, 2022-2030

9.1.1. Robotics

9.1.1.1. Market Revenue and Forecast (2017-2030)

9.1.2. Renewable Management

9.1.2.1. Market Revenue and Forecast (2017-2030)

9.1.3. Infrastructure

9.1.3.1. Market Revenue and Forecast (2017-2030)

9.1.4. Safety and Security

9.1.4.1. Market Revenue and Forecast (2017-2030)

9.1.5. Demand Forecasting

9.1.5.1. Market Revenue and Forecast (2017-2030)

Chapter 10. Global Artificial Intelligence (AI) in Renewable Energy Market, By Deployment 

10.1. Artificial Intelligence (AI) in Renewable Energy Market, by Deployment, 2022-2030

10.1.1. On-premise

10.1.1.1. Market Revenue and Forecast (2017-2030)

10.1.2. Cloud

10.1.2.1. Market Revenue and Forecast (2017-2030)

Chapter 11. Global Artificial Intelligence (AI) in Renewable Energy Market, Regional Estimates and Trend Forecast

11.1. North America

11.1.1. Market Revenue and Forecast, by End Use (2017-2030)

11.1.2. Market Revenue and Forecast, by Application (2017-2030)

11.1.3. Market Revenue and Forecast, by Deployment (2017-2030)

11.1.4. U.S.

11.1.4.1. Market Revenue and Forecast, by End Use (2017-2030)

11.1.4.2. Market Revenue and Forecast, by Application (2017-2030)

11.1.4.3. Market Revenue and Forecast, by Deployment (2017-2030)

11.1.5. Rest of North America

11.1.5.1. Market Revenue and Forecast, by End Use (2017-2030)

11.1.5.2. Market Revenue and Forecast, by Application (2017-2030)

11.1.5.3. Market Revenue and Forecast, by Deployment (2017-2030)

11.2. Europe

11.2.1. Market Revenue and Forecast, by End Use (2017-2030)

11.2.2. Market Revenue and Forecast, by Application (2017-2030)

11.2.3. Market Revenue and Forecast, by Deployment (2017-2030)

11.2.4. UK

11.2.4.1. Market Revenue and Forecast, by End Use (2017-2030)

11.2.4.2. Market Revenue and Forecast, by Application (2017-2030)

11.2.4.3. Market Revenue and Forecast, by Deployment (2017-2030)

11.2.5. Germany

11.2.5.1. Market Revenue and Forecast, by End Use (2017-2030)

11.2.5.2. Market Revenue and Forecast, by Application (2017-2030)

11.2.5.3. Market Revenue and Forecast, by Deployment (2017-2030)

11.2.6. France

11.2.6.1. Market Revenue and Forecast, by End Use (2017-2030)

11.2.6.2. Market Revenue and Forecast, by Application (2017-2030)

11.2.6.3. Market Revenue and Forecast, by Deployment (2017-2030)

11.2.7. Rest of Europe

11.2.7.1. Market Revenue and Forecast, by End Use (2017-2030)

11.2.7.2. Market Revenue and Forecast, by Application (2017-2030)

11.2.7.3. Market Revenue and Forecast, by Deployment (2017-2030)

11.3. APAC

11.3.1. Market Revenue and Forecast, by End Use (2017-2030)

11.3.2. Market Revenue and Forecast, by Application (2017-2030)

11.3.3. Market Revenue and Forecast, by Deployment (2017-2030)

11.3.4. India

11.3.4.1. Market Revenue and Forecast, by End Use (2017-2030)

11.3.4.2. Market Revenue and Forecast, by Application (2017-2030)

11.3.4.3. Market Revenue and Forecast, by Deployment (2017-2030)

11.3.5. China

11.3.5.1. Market Revenue and Forecast, by End Use (2017-2030)

11.3.5.2. Market Revenue and Forecast, by Application (2017-2030)

11.3.5.3. Market Revenue and Forecast, by Deployment (2017-2030)

11.3.6. Japan

11.3.6.1. Market Revenue and Forecast, by End Use (2017-2030)

11.3.6.2. Market Revenue and Forecast, by Application (2017-2030)

11.3.6.3. Market Revenue and Forecast, by Deployment (2017-2030)

11.3.7. Rest of APAC

11.3.7.1. Market Revenue and Forecast, by End Use (2017-2030)

11.3.7.2. Market Revenue and Forecast, by Application (2017-2030)

11.3.7.3. Market Revenue and Forecast, by Deployment (2017-2030)

11.4. MEA

11.4.1. Market Revenue and Forecast, by End Use (2017-2030)

11.4.2. Market Revenue and Forecast, by Application (2017-2030)

11.4.3. Market Revenue and Forecast, by Deployment (2017-2030)

11.4.4. GCC

11.4.4.1. Market Revenue and Forecast, by End Use (2017-2030)

11.4.4.2. Market Revenue and Forecast, by Application (2017-2030)

11.4.4.3. Market Revenue and Forecast, by Deployment (2017-2030)

11.4.5. North Africa

11.4.5.1. Market Revenue and Forecast, by End Use (2017-2030)

11.4.5.2. Market Revenue and Forecast, by Application (2017-2030)

11.4.5.3. Market Revenue and Forecast, by Deployment (2017-2030)

11.4.6. South Africa

11.4.6.1. Market Revenue and Forecast, by End Use (2017-2030)

11.4.6.2. Market Revenue and Forecast, by Application (2017-2030)

11.4.6.3. Market Revenue and Forecast, by Deployment (2017-2030)

11.4.7. Rest of MEA

11.4.7.1. Market Revenue and Forecast, by End Use (2017-2030)

11.4.7.2. Market Revenue and Forecast, by Application (2017-2030)

11.4.7.3. Market Revenue and Forecast, by Deployment (2017-2030)

11.5. Latin America

11.5.1. Market Revenue and Forecast, by End Use (2017-2030)

11.5.2. Market Revenue and Forecast, by Application (2017-2030)

11.5.3. Market Revenue and Forecast, by Deployment (2017-2030)

11.5.4. Brazil

11.5.4.1. Market Revenue and Forecast, by End Use (2017-2030)

11.5.4.2. Market Revenue and Forecast, by Application (2017-2030)

11.5.4.3. Market Revenue and Forecast, by Deployment (2017-2030)

11.5.5. Rest of LATAM

11.5.5.1. Market Revenue and Forecast, by End Use (2017-2030)

11.5.5.2. Market Revenue and Forecast, by Application (2017-2030)

11.5.5.3. Market Revenue and Forecast, by Deployment (2017-2030)

Chapter 12. Company Profiles

12.1. Alpiq

12.1.1. Company Overview

12.1.2. Product Offerings

12.1.3. Financial Performance

12.1.4. Recent Initiatives

12.2. SmartCloud Inc.

12.2.1. Company Overview

12.2.2. Product Offerings

12.2.3. Financial Performance

12.2.4. Recent Initiatives

12.3. General Electric

12.3.1. Company Overview

12.3.2. Product Offerings

12.3.3. Financial Performance

12.3.4. Recent Initiatives

12.4. Siemens AG

12.4.1. Company Overview

12.4.2. Product Offerings

12.4.3. Financial Performance

12.4.4. Recent Initiatives

12.5. Hazama Ando Corporation

12.5.1. Company Overview

12.5.2. Product Offerings

12.5.3. Financial Performance

12.5.4. Recent Initiatives

12.6. ATOS SE

12.6.1. Company Overview

12.6.2. Product Offerings

12.6.3. Financial Performance

12.6.4. Recent Initiatives

12.7. AppOrchid Inc.

12.7.1. Company Overview

12.7.2. Product Offerings

12.7.3. Financial Performance

12.7.4. Recent Initiatives

12.8. Zen Robotics Ltd.

12.8.1. Company Overview

12.8.2. Product Offerings

12.8.3. Financial Performance

12.8.4. Recent Initiatives

12.9. Origami Energy Ltd.

12.9.1. Company Overview

12.9.2. Product Offerings

12.9.3. Financial Performance

12.9.4. Recent Initiatives

12.10. Flex Ltd.

12.10.1. Company Overview

12.10.2. Product Offerings

12.10.3. Financial Performance

12.10.4. Recent Initiatives

Chapter 13. Research Methodology

13.1. Primary Research

13.2. Secondary Research

13.3. Assumptions

Chapter 14. Appendix

14.1. About Us

14.2. Glossary of Terms