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Artificial Intelligence (AI) in Renewable Energy Market Size, Growth, Demands Outlook and Forecasts to 2030

Precedence Research - January 31, 2023

According to the research report, the global artificial intelligence (AI) in renewable energy market size is expected to touch USD 75.82 Billion by 2030, from USD 10.54 Billion in 2022, growing with a significant CAGR of 27.9% from 2022 to 2030. 


AI in Renewable Energy Market Size 2021 to 2030

The artificial intelligence (AI) in renewable energy report offers a comprehensive study of the current state expected at the major drivers, market strategies, and key vendors’ growth. The report presents energetic visions to conclude and study the market size, market hopes, and competitive surroundings. The research also focuses on the important achievements of the market, research & development, and regional growth of the leading competitors operating in the market. The current trends of the global artificial intelligence (AI) in renewable energy in conjunction with the geographical landscape of this vertical have also been included in this report.

The report offers intricate dynamics about different aspects of the global artificial intelligence (AI) in renewable energy market, which aids companies operating in the market in making strategic development decisions. The study also elaborates on significant changes that are highly anticipated to configure growth of the global artificial intelligence (AI) in renewable energy during the forecast period. It also includes a key indicator assessment that highlights growth prospects of this market and estimates statistics related to growth of the market in terms of value (US$ Mn) and volume (tons).

Sample Link @ https://www.precedenceresearch.com/sample/1655

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

Report CoverageDetails
Market Size by 2030USD 75.82 Billion
Growth Rate from 2022 to 2030

CAGR of 27.9%

Largest MarketAsia Pacific
Fastest Growing MakretNorth America
Base Year2021
Forecast Period2022 to 2030
Segments CoveredApplication, End Use, Deployment Type, Geography

This study covers a detailed segmentation of the global artificial intelligence (AI) in renewable energy market, along with key information and a competition outlook. The report mentions company profiles of players that are currently dominating the global artificial intelligence (AI) in renewable energy market, wherein various developments, expansions, and winning strategies practiced and implemented by leading players have been presented in detail.

Key Players

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

Market Segmentation

 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

Research Methodology

The research methodology adopted by analysts for compiling the global artificial intelligence (AI) in renewable energy report is based on detailed primary as well as secondary research. With the help of in-depth insights of the market-affiliated information that is obtained and legitimated by market-admissible resources, analysts have offered riveting observations and authentic forecasts for the global market.

During the primary research phase, analysts interviewed market stakeholders, investors, brand managers, vice presidents, and sales and marketing managers. Based on data obtained through interviews of genuine resources, analysts have emphasized the changing scenario of the global market.

For secondary research, analysts scrutinized numerous annual report publications, white papers, market association publications, and company websites to obtain the necessary understanding of the global artificial intelligence (AI) in renewable energy market.

TABLE OF CONTENT

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

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