Global Artificial Intelligence in Renewable Energy Market Size Study, by Deployment Type, by End-Use Industry, by Component Type, and Regional Forecasts 2022-2032

Description

Global Artificial Intelligence in Renewable Energy Market is valued at approximately USD 630 million in 2023 and is anticipated to grow with a healthy growth rate of more than 24.6% over the forecast period 2024-2032. The artificial intelligence (AI) in renewable energy industry encompasses the development of computer systems capable of performing tasks that typically require human intelligence, such as learning, reasoning, problem-solving, and decision-making. AI has significantly advanced across various sectors, including renewable energy, where its applications have the potential to revolutionize the generation, distribution, and consumption of clean energy.

Artificial intelligence plays a critical role in the field of solar energy by enhancing the efficiency of photovoltaic panels through tracking the sun's movement and adjusting the panels' angles accordingly. AI-driven algorithms analyze weather data and predict cloud cover, facilitating better grid integration and energy forecasting. Additionally, AI is utilized for predictive maintenance of solar installations, reducing downtime and maintenance costs. Moreover, advancements in AI and the growing focus on renewable energy sources present significant opportunities for market expansion. AI is essential in optimizing renewable energy production by analyzing historical and real-time data, improving power output by predicting and optimizing solar and wind power generation. However, the high cost associated with AI-driven technologies is going to impede the overall demand for the market during the forecast period 2024-2032.

The key regions considered for the Global Artificial Intelligence in Renewable Energy Market study include Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America dominated the market in 2023 due to the early adoption of AI technologies and substantial investments in renewable energy projects. Meanwhile, the Asia Pacific region is expected to grow at the fastest rate during the forecast period, driven by the increasing focus on renewable energy and the rapid adoption of AI technologies within the region.

Major market players included in this report are:

Vestas
App Orchid
Alpiq Holding Ltd.
Origami
Siemens AG
Flex Ltd.
Enphase Energy
Enel Spa
Atos SE
General Electric

The detailed segments and sub-segment of the market are explained below:

By Deployment Type:

On Premises
Cloud

By End-Use Industry:

Energy Generation
Energy Transmission
Energy Distribution
Utilities

By Component Type:

Solution
Service

By Region:

North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE
Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
Middle East & Africa
Saudi Arabia
South Africa
RoMEA

Years considered for the study are as follows:

Historical year - 2022
Base year - 2023
Forecast period - 2024 to 2032

Key Takeaways:

Market Estimates & Forecast for 10 years from 2022 to 2032.
Annualized revenues and regional level analysis for each market segment.
Detailed analysis of geographical landscape with Country level analysis of major regions.
Competitive landscape with information on major players in the market.
Analysis of key business strategies and recommendations on future market approach.
Analysis of competitive structure of the market.
Demand side and supply side analysis of the market

Chapter 1. Global Artificial Intelligence in Renewable Energy Market Executive Summary

1.1. Global Artificial Intelligence in Renewable Energy Market Size & Forecast (2022-2032)
1.2. Regional Summary
1.3. Segmental Summary
- 1.3.1. By Deployment Type
- 1.3.2. By End-Use Industry
- 1.3.3. By Component Type
1.4. Key Trends
1.5. Recession Impact
1.6. Analyst Recommendation & Conclusion

Chapter 2. Global Artificial Intelligence in Renewable Energy Market Definition and Research Assumptions

2.1. Research Objective
2.2. Market Definition
2.3. Research Assumptions
- 2.3.1. Inclusion & Exclusion
- 2.3.2. Limitations
- 2.3.3. Supply Side Analysis
  - 2.3.3.1. Availability
  - 2.3.3.2. Infrastructure
  - 2.3.3.3. Regulatory Environment
  - 2.3.3.4. Market Competition
  - 2.3.3.5. Economic Viability (Consumer's Perspective)
- 2.3.4. Demand Side Analysis
  - 2.3.4.1. Regulatory frameworks
  - 2.3.4.2. Technological Advancements
  - 2.3.4.3. Environmental Considerations
  - 2.3.4.4. Consumer Awareness & Acceptance
2.4. Estimation Methodology
2.5. Years Considered for the Study
2.6. Currency Conversion Rates

Chapter 3. Global Artificial Intelligence in Renewable Energy Market Dynamics

3.1. Market Drivers
- 3.1.1. Increasing Adoption of Renewable Energy Technologies
- 3.1.2. Optimization of Renewable Energy Production
- 3.1.3. Predictive Maintenance
3.2. Market Challenges
- 3.2.1. High Cost of AI-driven Technologies
3.3. Market Opportunities
- 3.3.1. Advancements in AI Technology
- 3.3.2. Focus on Renewable Energy Sources

Chapter 4. Global Artificial Intelligence in Renewable Energy Market Industry Analysis

4.1. Porter's 5 Force Model
- 4.1.1. Bargaining Power of Suppliers
- 4.1.2. Bargaining Power of Buyers
- 4.1.3. Threat of New Entrants
- 4.1.4. Threat of Substitutes
- 4.1.5. Competitive Rivalry
- 4.1.6. Futuristic Approach to Porter's 5 Force Model
- 4.1.7. Porter's 5 Force Impact Analysis
4.2. PESTEL Analysis
- 4.2.1. Political
- 4.2.2. Economical
- 4.2.3. Social
- 4.2.4. Technological
- 4.2.5. Environmental
- 4.2.6. Legal
4.3. Top investment opportunity
4.4. Top winning strategies
4.5. Disruptive Trends
4.6. Industry Expert Perspective
4.7. Analyst Recommendation & Conclusion

Chapter 5. Global Artificial Intelligence in Renewable Energy Market Size & Forecasts by Deployment Type 2022-2032

5.1. Segment Dashboard
5.2. Global Artificial Intelligence in Renewable Energy Market: Deployment Type Revenue Trend Analysis, 2022 & 2032 (USD Million)
- 5.2.1. On Premises
- 5.2.2. Cloud

Chapter 6. Global Artificial Intelligence in Renewable Energy Market Size & Forecasts by End-Use Industry 2022-2032

6.1. Segment Dashboard
6.2. Global Artificial Intelligence in Renewable Energy Market: End-Use Industry Revenue Trend Analysis, 2022 & 2032 (USD Million)
- 6.2.1. Energy Generation
- 6.2.2. Energy Transmission
- 6.2.3. Energy Distribution
- 6.2.4. Utilities

Chapter 7. Global Artificial Intelligence in Renewable Energy Market Size & Forecasts by Component Type 2022-2032

7.1. Segment Dashboard
7.2. Global Artificial Intelligence in Renewable Energy Market: Component Type Revenue Trend Analysis, 2022 & 2032 (USD Million)
- 7.2.1. Solution
- 7.2.2. Service

Chapter 8. Global Artificial Intelligence in Renewable Energy Market Size & Forecasts by Region 2022-2032

8.1. North America Artificial Intelligence in Renewable Energy Market
- 8.1.1. U.S. Artificial Intelligence in Renewable Energy Market
  - 8.1.1.1. Deployment Type breakdown size & forecasts, 2022-2032
  - 8.1.1.2. End-Use Industry breakdown size & forecasts, 2022-2032
  - 8.1.1.3. Component Type breakdown size & forecasts, 2022-2032
- 8.1.2. Canada Artificial Intelligence in Renewable Energy Market
8.2. Europe Artificial Intelligence in Renewable Energy Market
- 8.2.1. U.K. Artificial Intelligence in Renewable Energy Market
- 8.2.2. Germany Artificial Intelligence in Renewable Energy Market
- 8.2.3. France Artificial Intelligence in Renewable Energy Market
- 8.2.4. Spain Artificial Intelligence in Renewable Energy Market
- 8.2.5. Italy Artificial Intelligence in Renewable Energy Market
- 8.2.6. Rest of Europe Artificial Intelligence in Renewable Energy Market
8.3. Asia-Pacific Artificial Intelligence in Renewable Energy Market
- 8.3.1. China Artificial Intelligence in Renewable Energy Market
- 8.3.2. India Artificial Intelligence in Renewable Energy Market
- 8.3.3. Japan Artificial Intelligence in Renewable Energy Market
- 8.3.4. Australia Artificial Intelligence in Renewable Energy Market
- 8.3.5. South Korea Artificial Intelligence in Renewable Energy Market
- 8.3.6. Rest of Asia Pacific Artificial Intelligence in Renewable Energy Market
8.4. Latin America Artificial Intelligence in Renewable Energy Market
- 8.4.1. Brazil Artificial Intelligence in Renewable Energy Market
- 8.4.2. Mexico Artificial Intelligence in Renewable Energy Market
- 8.4.3. Rest of Latin America Artificial Intelligence in Renewable Energy Market
8.5. Middle East & Africa Artificial Intelligence in Renewable Energy Market
- 8.5.1. Saudi Arabia Artificial Intelligence in Renewable Energy Market
- 8.5.2. South Africa Artificial Intelligence in Renewable Energy Market
- 8.5.3. Rest of Middle East & Africa Artificial Intelligence in Renewable Energy Market

Chapter 9. Competitive Intelligence

9.1. Key Company SWOT Analysis
9.2. Top Market Strategies
9.3. Company Profiles
- 9.3.1. Vestas
  - 9.3.1.1. Key Information
  - 9.3.1.2. Overview
  - 9.3.1.3. Financial (Subject to Data Availability)
  - 9.3.1.4. Product Summary
  - 9.3.1.5. Market Strategies
- 9.3.2. Siemens AG
- 9.3.3. General Electric
- 9.3.4. App Orchid
- 9.3.5. Alpiq Holding Ltd.
- 9.3.6. Origami
- 9.3.7. Flex Ltd.
- 9.3.8. Enphase Energy
- 9.3.9. Enel Spa
- 9.3.10. Atos SE

Chapter 10. Research Process

10.1. Research Process
- 10.1.1. Data Mining
- 10.1.2. Analysis
- 10.1.3. Market Estimation
- 10.1.4. Validation
- 10.1.5. Publishing
10.2. Research Attributes