Artificial Intelligence (AI) in Renewable Energy Market Size Report, 2024-2033
The global artificial intelligence (AI) in renewable energy market size was exhibited at USD 10.20 billion in 2023 and is projected to hit around USD 117.72 billion by 2033, growing at a CAGR of 27.71% during the forecast period of 2024–2033.
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Key Takeaways:
Artificial Intelligence (AI) in Renewable Energy Market in Asia Pacific 2024–2033
The Asia Pacific artificial intelligence (AI) in renewable energy market sizereached USD 3.80 billion in 2023 and is projected to grow around USD 44.34 billion by 2033 with a CAGR of 27.90% from 2024 to 2033.
Asia-Pacific dominated the market with largest share in 2023. 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.
Growth Factors
Artificial Intelligence (AI) in Renewable Energy Market Report Scope
| Report Coverage | Details |
| Market Size in 2024 | USD 10.20 Billion |
| Market Size by 2033 | USD 117.72 Billion |
| Growth Rate From 2024 to 2033 | CAGR of 27.71% |
| Base Year | 2023 |
| Forecast Period | 2024-2033 |
| Segments Covered | Application, End Use, Deployment Type, Geography |
| Market Analysis (Terms Used) | Value (US$ Million/Billion) or (Volume/Units) |
| Regional Scope | North America; Europe; Asia Pacific; Central and South America; the Middle East and Africa |
| Key Companies Profiled | Alpiq, SmartCloud Inc., General Electric, Siemens AG, Hazama Ando Corporation, ATOS SE, AppOrchid Inc., Zen Robotics Ltd., Origami Energy Ltd., Flex Ltd. |
Segments Insights:
Application Insights
The demand forecasting segment led the market in 2023 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 2023. 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 2023. 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.
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 artificial intelligence (AI) in renewable energy market include:
Segments Covered in the Report
This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2033. For this study, Nova one advisor, Inc. has segmented the global artificial intelligence (AI) in renewable energy market.
By Application
By End Use
By Deployment Type
By Region
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, 2024-2033
8.1.1. Energy Generation
8.1.1.1. Market Revenue and Forecast (2021-2033)
8.1.2. Energy Transmission
8.1.2.1. Market Revenue and Forecast (2021-2033)
8.1.3. Energy Distribution
8.1.3.1. Market Revenue and Forecast (2021-2033)
8.1.4. Utilities
8.1.4.1. Market Revenue and Forecast (2021-2033)
Chapter 9. Global Artificial Intelligence (AI) in Renewable Energy Market, By Application
9.1. Artificial Intelligence (AI) in Renewable Energy Market, by Application, 2024-2033
9.1.1. Robotics
9.1.1.1. Market Revenue and Forecast (2021-2033)
9.1.2. Renewable Management
9.1.2.1. Market Revenue and Forecast (2021-2033)
9.1.3. Infrastructure
9.1.3.1. Market Revenue and Forecast (2021-2033)
9.1.4. Safety and Security
9.1.4.1. Market Revenue and Forecast (2021-2033)
9.1.5. Demand Forecasting
9.1.5.1. Market Revenue and Forecast (2021-2033)
Chapter 10. Global Artificial Intelligence (AI) in Renewable Energy Market, By Deployment
10.1. Artificial Intelligence (AI) in Renewable Energy Market, by Deployment, 2024-2033
10.1.1. On-premise
10.1.1.1. Market Revenue and Forecast (2021-2033)
10.1.2. Cloud
10.1.2.1. Market Revenue and Forecast (2021-2033)
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 (2021-2033)
11.1.2. Market Revenue and Forecast, by Application (2021-2033)
11.1.3. Market Revenue and Forecast, by Deployment (2021-2033)
11.1.4. U.S.
11.1.4.1. Market Revenue and Forecast, by End Use (2021-2033)
11.1.4.2. Market Revenue and Forecast, by Application (2021-2033)
11.1.4.3. Market Revenue and Forecast, by Deployment (2021-2033)
11.1.5. Rest of North America
11.1.5.1. Market Revenue and Forecast, by End Use (2021-2033)
11.1.5.2. Market Revenue and Forecast, by Application (2021-2033)
11.1.5.3. Market Revenue and Forecast, by Deployment (2021-2033)
11.2. Europe
11.2.1. Market Revenue and Forecast, by End Use (2021-2033)
11.2.2. Market Revenue and Forecast, by Application (2021-2033)
11.2.3. Market Revenue and Forecast, by Deployment (2021-2033)
11.2.4. UK
11.2.4.1. Market Revenue and Forecast, by End Use (2021-2033)
11.2.4.2. Market Revenue and Forecast, by Application (2021-2033)
11.2.4.3. Market Revenue and Forecast, by Deployment (2021-2033)
11.2.5. Germany
11.2.5.1. Market Revenue and Forecast, by End Use (2021-2033)
11.2.5.2. Market Revenue and Forecast, by Application (2021-2033)
11.2.5.3. Market Revenue and Forecast, by Deployment (2021-2033)
11.2.6. France
11.2.6.1. Market Revenue and Forecast, by End Use (2021-2033)
11.2.6.2. Market Revenue and Forecast, by Application (2021-2033)
11.2.6.3. Market Revenue and Forecast, by Deployment (2021-2033)
11.2.7. Rest of Europe
11.2.7.1. Market Revenue and Forecast, by End Use (2021-2033)
11.2.7.2. Market Revenue and Forecast, by Application (2021-2033)
11.2.7.3. Market Revenue and Forecast, by Deployment (2021-2033)
11.3. APAC
11.3.1. Market Revenue and Forecast, by End Use (2021-2033)
11.3.2. Market Revenue and Forecast, by Application (2021-2033)
11.3.3. Market Revenue and Forecast, by Deployment (2021-2033)
11.3.4. India
11.3.4.1. Market Revenue and Forecast, by End Use (2021-2033)
11.3.4.2. Market Revenue and Forecast, by Application (2021-2033)
11.3.4.3. Market Revenue and Forecast, by Deployment (2021-2033)
11.3.5. China
11.3.5.1. Market Revenue and Forecast, by End Use (2021-2033)
11.3.5.2. Market Revenue and Forecast, by Application (2021-2033)
11.3.5.3. Market Revenue and Forecast, by Deployment (2021-2033)
11.3.6. Japan
11.3.6.1. Market Revenue and Forecast, by End Use (2021-2033)
11.3.6.2. Market Revenue and Forecast, by Application (2021-2033)
11.3.6.3. Market Revenue and Forecast, by Deployment (2021-2033)
11.3.7. Rest of APAC
11.3.7.1. Market Revenue and Forecast, by End Use (2021-2033)
11.3.7.2. Market Revenue and Forecast, by Application (2021-2033)
11.3.7.3. Market Revenue and Forecast, by Deployment (2021-2033)
11.4. MEA
11.4.1. Market Revenue and Forecast, by End Use (2021-2033)
11.4.2. Market Revenue and Forecast, by Application (2021-2033)
11.4.3. Market Revenue and Forecast, by Deployment (2021-2033)
11.4.4. GCC
11.4.4.1. Market Revenue and Forecast, by End Use (2021-2033)
11.4.4.2. Market Revenue and Forecast, by Application (2021-2033)
11.4.4.3. Market Revenue and Forecast, by Deployment (2021-2033)
11.4.5. North Africa
11.4.5.1. Market Revenue and Forecast, by End Use (2021-2033)
11.4.5.2. Market Revenue and Forecast, by Application (2021-2033)
11.4.5.3. Market Revenue and Forecast, by Deployment (2021-2033)
11.4.6. South Africa
11.4.6.1. Market Revenue and Forecast, by End Use (2021-2033)
11.4.6.2. Market Revenue and Forecast, by Application (2021-2033)
11.4.6.3. Market Revenue and Forecast, by Deployment (2021-2033)
11.4.7. Rest of MEA
11.4.7.1. Market Revenue and Forecast, by End Use (2021-2033)
11.4.7.2. Market Revenue and Forecast, by Application (2021-2033)
11.4.7.3. Market Revenue and Forecast, by Deployment (2021-2033)
11.5. Latin America
11.5.1. Market Revenue and Forecast, by End Use (2021-2033)
11.5.2. Market Revenue and Forecast, by Application (2021-2033)
11.5.3. Market Revenue and Forecast, by Deployment (2021-2033)
11.5.4. Brazil
11.5.4.1. Market Revenue and Forecast, by End Use (2021-2033)
11.5.4.2. Market Revenue and Forecast, by Application (2021-2033)
11.5.4.3. Market Revenue and Forecast, by Deployment (2021-2033)
11.5.5. Rest of LATAM
11.5.5.1. Market Revenue and Forecast, by End Use (2021-2033)
11.5.5.2. Market Revenue and Forecast, by Application (2021-2033)
11.5.5.3. Market Revenue and Forecast, by Deployment (2021-2033)
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
Cross-segment Market Size and Analysis for
Mentioned Segments
Additional Company Profiles (Upto 5 With No Cost)
Additional Countries (Apart From Mentioned Countries)
Country/Region-specific Report
Go To Market Strategy
Region Specific Market DynamicsRegion Level Market Share Import Export AnalysisProduction AnalysisOthers