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Report
Artificial Intelligence in Renewable Energy Market By Deployment Type (On premises, Cloud), By Component Type (Solution, Service), By End-Use Industry (Energy Generation, Energy Transmission, Energy Distribution, Utilities): Global Opportunity Analysis and Industry Forecast, 2023-2032
Market Report I 2023-10-01 I 242 Pages I Allied Market Research
The global artificial intelligence in renewable energy market size was valued at $0.6 billion in 2022, and is projected to reach $4.6 billion by 2032, growing at a CAGR of 23.2% from 2023 to 2032.
Artificial intelligence in renewable energy involves the application of AI techniques, such as computer mastering and facts analytics, to improve the generation, storage, distribution, and consumption of renewable electricity sources. It encompasses a wide range of technologies, including predictive modeling, optimization algorithms, and independent manage systems, to maximize the utilization of renewable resources like solar, wind, and hydropower.
AI-driven predictive modeling can accurately forecast solar irradiance and climate patterns, enabling better energy technology forecasts. AI helps optimize the positioning of photo voltaic panels and trackers to seize most sunlight at some stage in the day, for that reason improving the average efficiency of solar strength systems.
Wind farms gain notably from AI applications. Machine studying algorithms analyze sizeable amounts of records to predict wind patterns and turbine performance. This approves for higher turbine protection scheduling and greater unique energy generation. AI helps in the management of electricity distribution grids. Machine mastering algorithms analyze real-time facts to predict power demand and pick out practicable faults or disturbances in the grid. Artificial brain permits grid operators to respond proactively, making sure a stable and reliable furnish of renewable power to consumers.
AI has been employed to protect birds and bats. Advanced pc vision structures can realize the presence of birds close to mills and briefly shut them down to forestall collisions. This modern method addresses ecological issues related with wind farms. AI is instrumental in enhancing the resilience of strength grids. Artificial intelligence structures can additionally predict and mitigate doable cyberattacks, making sure the integrity and security of renewable power infrastructure.
Artificial intelligence is being used to improve desalination approaches powered by means of renewable energy. AI algorithms optimize the operation of desalination plants, decreasing electricity consumption and charges whilst increasing freshwater production. AI is employed in the plan and optimization of floating photo voltaic farms on our bodies of water. These farms are rising as a sustainable solution for land-constrained regions, and AI helps decide the most efficient layout and protection strategies.
The artificial intelligence in renewable energy market growthis segmented into deployment type, component type, end-use industry, and region. On the basis of deployment type, the market is bifurcated into on-premises and cloud. On the basis of component type, the market is divided into solution, and service. On the basis of end-use industry, the market is classified into energy generation, energy transmission, energy distribution, and utilities. On the basis of region, the market is studied across North America, Europe, Asia-Pacific, and LAMEA.
By deployment type, on-premises is the fastest-growing segment in the artificial intelligence in renewable energy industry in 2022. AI systems can analyze real-time records from on-premises renewable energy sources like solar panels and wind turbines. They can optimize energy production by means of adjusting the perspective of photo voltaic panels, the orientation of wind turbines, and battery storage usage to maximize power technology and consumption. AI models can furnish correct strength production forecasts primarily based on climate conditions, historical data, and different factors. This helps on-premises customers design their power consumption and storage greater effectively.
Based on component type, service is the fastest-growing segment in the AI in renewable energy market in 2022. AI-based grid administration systems can stability the intermittent nature of renewable strength sources. These structures use real-time statistics to control energy distribution efficiently, ensuring a secure supply. AI can optimize electricity storage systems, such as batteries. It can determine when to store excess energy and when to release it, making the most of renewable energy production.
Based on end-use industry, energy distribution is the fastest-growing segment in the AI in renewable energy market in 2022. AI can help manage energy storage systems, such as batteries. Machine gaining knowledge of algorithms can optimize the charging and discharging of batteries primarily based on grid demand and renewable strength availability, maximizing the use of clean power and reducing reliance on fossil fuels. AI can play a crucial role in improving the resilience of strength grids in opposition to disruptions, including those brought about by using extreme climate events. Predictive maintenance algorithms can discover attainable issues in the grid infrastructure earlier than they lead to outages.
Region-wise Asia-Pacific is the fastest-growing and dominated in the market in 2022. In the Asia-Pacific region, hydropower performs a good sized role as a renewable energy source, mainly in countries like China and Japan. The implementation of AI-powered analytics has tested to be worthwhile in optimizing the management of water float within hydropower plants. This technology ensures a constant provide of electricity while simultaneously minimizing the poor have an effect on on aquatic ecosystems. Furthermore, AI-driven building management structures are gaining recognition throughout Asia-Pacific nations. These systems leverage real-time records and occupancy patterns to effectively manipulate lighting, heating, and cooling in each industrial and residential buildings. This not solely reduces electricity consumption however also results in price financial savings on electricity payments for consumers.
The major players operating in the global artificial intelligence in renewable energy market share diversified into Alpiq, AppOrchid Inc., ATOS SE, Enel Green Power, Enphase Energy, Flex Ltd., General Electric, Origami Energy Ltd., Siemens AG, and Vestas.
Key Market Insights
-Cloud was the largest revenue generator in 2022, comprising over half of the market share in 2022.
-The solutions segment is dominated by component type, contributing to almost two-thirds of the market share and showing a 32.0% Compound Annual Growth Rate (CAGR) in 2022.
-In terms of end-use industries, utilities held the top position, with a 22.8% CAGR in the market.
-The Asia-Pacific region led in revenue contribution, representing two-thirds of the global market share in 2022.
Key Benefits For Stakeholders
-This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the artificial intelligence in renewable energy market analysis from 2022 to 2032 to identify the prevailing artificial intelligence in renewable energy market opportunities.
-The market research is offered along with information related to key drivers, restraints, and opportunities.
-Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
-In-depth analysis of the artificial intelligence in renewable energy market scope assists to determine the prevailing market opportunities.
-Major countries in each region are mapped according to their revenue contribution to the global market.
-Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
-The report includes the analysis of the regional as well as global artificial intelligence in renewable energy market trends, key players, market segments, application areas, and market growth strategies.
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Possible Customization with this report (with additional cost and timeline, please talk to the sales executive to know more)
- End user preferences and pain points
- Industry life cycle assessment, by region
- Investment Opportunities
- Product Benchmarking / Product specification and applications
- Product Life Cycles
- Upcoming/New Entrant by Regions
- Technology Trend Analysis
- Consumer Preference and Product Specifications
- Market share analysis of players by products/segments
- New Product Development/ Product Matrix of Key Players
- Patient/epidemiology data at country, region, global level
- Regulatory Guidelines
- Additional company profiles with specific to client's interest
- Additional country or region analysis- market size and forecast
- Criss-cross segment analysis- market size and forecast
- Expanded list for Company Profiles
- Historic market data
- Import Export Analysis/Data
- List of customers/consumers/raw material suppliers- value chain analysis
- Product Consumption Analysis
- SWOT Analysis
- Volume Market Size and Forecast
Key Market Segments
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
? Mexico
- Europe
? Germany
? France
? UK
? Spain
? Italy
? Rest of Europe
- Asia-Pacific
? China
? Japan
? India
? South Korea
? Australia
? Rest of Asia-Pacific
- LAMEA
? Brazil
? South Africa
? Saudi Arabia
? Rest of LAMEA
- Key Market Players
? Enphase Energy
? Flex Ltd.
? Vestas
? Origami
? App Orchid
? Enel Spa
? Atos SE
? Siemens AG
? General Electric
? Alpiq Holding Ltd.
CHAPTER 1: INTRODUCTION
1.1. Report description
1.2. Key market segments
1.3. Key benefits to the stakeholders
1.4. Research methodology
1.4.1. Primary research
1.4.2. Secondary research
1.4.3. Analyst tools and models
CHAPTER 2: EXECUTIVE SUMMARY
2.1. CXO Perspective
CHAPTER 3: MARKET OVERVIEW
3.1. Market definition and scope
3.2. Key findings
3.2.1. Top impacting factors
3.2.2. Top investment pockets
3.3. Porter's five forces analysis
3.3.1. Moderate bargaining power of suppliers
3.3.2. High threat of new entrants
3.3.3. High threat of substitutes
3.3.4. High intensity of rivalry
3.3.5. High bargaining power of buyers
3.4. Market dynamics
3.4.1. Drivers
3.4.1.1. Increase in adoption of renewable energy technologies
3.4.1.2. AI-Powered advancements in renewable energy efficiency
3.4.2. Restraints
3.4.2.1. High cost of artificial intelligence-driven technologies
3.4.3. Opportunities
3.4.3.1. AI-Driven optimization for enhanced energy storage systems
3.4.3.2. Smart grid energy distribution and storage
3.5. Value Chain Analysis
3.6. Key Regulation Analysis
3.7. Patent Landscape
3.8. Regulatory Guidelines
CHAPTER 4: ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE
4.1. Overview
4.1.1. Market size and forecast
4.2. On premises
4.2.1. Key market trends, growth factors and opportunities
4.2.2. Market size and forecast, by region
4.2.3. Market share analysis by country
4.3. Cloud
4.3.1. Key market trends, growth factors and opportunities
4.3.2. Market size and forecast, by region
4.3.3. Market share analysis by country
CHAPTER 5: ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE
5.1. Overview
5.1.1. Market size and forecast
5.2. Solution
5.2.1. Key market trends, growth factors and opportunities
5.2.2. Market size and forecast, by region
5.2.3. Market share analysis by country
5.3. Service
5.3.1. Key market trends, growth factors and opportunities
5.3.2. Market size and forecast, by region
5.3.3. Market share analysis by country
CHAPTER 6: ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY
6.1. Overview
6.1.1. Market size and forecast
6.2. Energy Generation
6.2.1. Key market trends, growth factors and opportunities
6.2.2. Market size and forecast, by region
6.2.3. Market share analysis by country
6.3. Energy Transmission
6.3.1. Key market trends, growth factors and opportunities
6.3.2. Market size and forecast, by region
6.3.3. Market share analysis by country
6.4. Energy Distribution
6.4.1. Key market trends, growth factors and opportunities
6.4.2. Market size and forecast, by region
6.4.3. Market share analysis by country
6.5. Utilities
6.5.1. Key market trends, growth factors and opportunities
6.5.2. Market size and forecast, by region
6.5.3. Market share analysis by country
CHAPTER 7: ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY REGION
7.1. Overview
7.1.1. Market size and forecast By Region
7.2. North America
7.2.1. Key market trends, growth factors and opportunities
7.2.2. Market size and forecast, by Deployment Type
7.2.3. Market size and forecast, by Component Type
7.2.4. Market size and forecast, by End-Use Industry
7.2.5. Market size and forecast, by country
7.2.5.1. U.S.
7.2.5.1.1. Market size and forecast, by Deployment Type
7.2.5.1.2. Market size and forecast, by Component Type
7.2.5.1.3. Market size and forecast, by End-Use Industry
7.2.5.2. Canada
7.2.5.2.1. Market size and forecast, by Deployment Type
7.2.5.2.2. Market size and forecast, by Component Type
7.2.5.2.3. Market size and forecast, by End-Use Industry
7.2.5.3. Mexico
7.2.5.3.1. Market size and forecast, by Deployment Type
7.2.5.3.2. Market size and forecast, by Component Type
7.2.5.3.3. Market size and forecast, by End-Use Industry
7.3. Europe
7.3.1. Key market trends, growth factors and opportunities
7.3.2. Market size and forecast, by Deployment Type
7.3.3. Market size and forecast, by Component Type
7.3.4. Market size and forecast, by End-Use Industry
7.3.5. Market size and forecast, by country
7.3.5.1. Germany
7.3.5.1.1. Market size and forecast, by Deployment Type
7.3.5.1.2. Market size and forecast, by Component Type
7.3.5.1.3. Market size and forecast, by End-Use Industry
7.3.5.2. France
7.3.5.2.1. Market size and forecast, by Deployment Type
7.3.5.2.2. Market size and forecast, by Component Type
7.3.5.2.3. Market size and forecast, by End-Use Industry
7.3.5.3. UK
7.3.5.3.1. Market size and forecast, by Deployment Type
7.3.5.3.2. Market size and forecast, by Component Type
7.3.5.3.3. Market size and forecast, by End-Use Industry
7.3.5.4. Spain
7.3.5.4.1. Market size and forecast, by Deployment Type
7.3.5.4.2. Market size and forecast, by Component Type
7.3.5.4.3. Market size and forecast, by End-Use Industry
7.3.5.5. Italy
7.3.5.5.1. Market size and forecast, by Deployment Type
7.3.5.5.2. Market size and forecast, by Component Type
7.3.5.5.3. Market size and forecast, by End-Use Industry
7.3.5.6. Rest of Europe
7.3.5.6.1. Market size and forecast, by Deployment Type
7.3.5.6.2. Market size and forecast, by Component Type
7.3.5.6.3. Market size and forecast, by End-Use Industry
7.4. Asia-Pacific
7.4.1. Key market trends, growth factors and opportunities
7.4.2. Market size and forecast, by Deployment Type
7.4.3. Market size and forecast, by Component Type
7.4.4. Market size and forecast, by End-Use Industry
7.4.5. Market size and forecast, by country
7.4.5.1. China
7.4.5.1.1. Market size and forecast, by Deployment Type
7.4.5.1.2. Market size and forecast, by Component Type
7.4.5.1.3. Market size and forecast, by End-Use Industry
7.4.5.2. Japan
7.4.5.2.1. Market size and forecast, by Deployment Type
7.4.5.2.2. Market size and forecast, by Component Type
7.4.5.2.3. Market size and forecast, by End-Use Industry
7.4.5.3. India
7.4.5.3.1. Market size and forecast, by Deployment Type
7.4.5.3.2. Market size and forecast, by Component Type
7.4.5.3.3. Market size and forecast, by End-Use Industry
7.4.5.4. South Korea
7.4.5.4.1. Market size and forecast, by Deployment Type
7.4.5.4.2. Market size and forecast, by Component Type
7.4.5.4.3. Market size and forecast, by End-Use Industry
7.4.5.5. Australia
7.4.5.5.1. Market size and forecast, by Deployment Type
7.4.5.5.2. Market size and forecast, by Component Type
7.4.5.5.3. Market size and forecast, by End-Use Industry
7.4.5.6. Rest of Asia-Pacific
7.4.5.6.1. Market size and forecast, by Deployment Type
7.4.5.6.2. Market size and forecast, by Component Type
7.4.5.6.3. Market size and forecast, by End-Use Industry
7.5. LAMEA
7.5.1. Key market trends, growth factors and opportunities
7.5.2. Market size and forecast, by Deployment Type
7.5.3. Market size and forecast, by Component Type
7.5.4. Market size and forecast, by End-Use Industry
7.5.5. Market size and forecast, by country
7.5.5.1. Brazil
7.5.5.1.1. Market size and forecast, by Deployment Type
7.5.5.1.2. Market size and forecast, by Component Type
7.5.5.1.3. Market size and forecast, by End-Use Industry
7.5.5.2. South Africa
7.5.5.2.1. Market size and forecast, by Deployment Type
7.5.5.2.2. Market size and forecast, by Component Type
7.5.5.2.3. Market size and forecast, by End-Use Industry
7.5.5.3. Saudi Arabia
7.5.5.3.1. Market size and forecast, by Deployment Type
7.5.5.3.2. Market size and forecast, by Component Type
7.5.5.3.3. Market size and forecast, by End-Use Industry
7.5.5.4. Rest of LAMEA
7.5.5.4.1. Market size and forecast, by Deployment Type
7.5.5.4.2. Market size and forecast, by Component Type
7.5.5.4.3. Market size and forecast, by End-Use Industry
CHAPTER 8: COMPETITIVE LANDSCAPE
8.1. Introduction
8.2. Top winning strategies
8.3. Product mapping of top 10 player
8.4. Competitive dashboard
8.5. Competitive heatmap
8.6. Top player positioning, 2022
CHAPTER 9: COMPANY PROFILES
9.1. Alpiq Holding Ltd.
9.1.1. Company overview
9.1.2. Key executives
9.1.3. Company snapshot
9.1.4. Operating business segments
9.1.5. Product portfolio
9.2. App Orchid
9.2.1. Company overview
9.2.2. Key executives
9.2.3. Company snapshot
9.2.4. Operating business segments
9.2.5. Product portfolio
9.3. Atos SE
9.3.1. Company overview
9.3.2. Key executives
9.3.3. Company snapshot
9.3.4. Operating business segments
9.3.5. Product portfolio
9.3.6. Business performance
9.4. Enel Spa
9.4.1. Company overview
9.4.2. Key executives
9.4.3. Company snapshot
9.4.4. Operating business segments
9.4.5. Product portfolio
9.5. Enphase Energy
9.5.1. Company overview
9.5.2. Key executives
9.5.3. Company snapshot
9.5.4. Operating business segments
9.5.5. Product portfolio
9.5.6. Business performance
9.6. Flex Ltd.
9.6.1. Company overview
9.6.2. Key executives
9.6.3. Company snapshot
9.6.4. Operating business segments
9.6.5. Product portfolio
9.6.6. Business performance
9.7. General Electric
9.7.1. Company overview
9.7.2. Key executives
9.7.3. Company snapshot
9.7.4. Operating business segments
9.7.5. Product portfolio
9.7.6. Business performance
9.7.7. Key strategic moves and developments
9.8. Origami
9.8.1. Company overview
9.8.2. Key executives
9.8.3. Company snapshot
9.8.4. Operating business segments
9.8.5. Product portfolio
9.9. Siemens AG
9.9.1. Company overview
9.9.2. Key executives
9.9.3. Company snapshot
9.9.4. Operating business segments
9.9.5. Product portfolio
9.9.6. Business performance
9.9.7. Key strategic moves and developments
9.10. Vestas
9.10.1. Company overview
9.10.2. Key executives
9.10.3. Company snapshot
9.10.4. Operating business segments
9.10.5. Product portfolio
9.10.6. Business performance
LIST OF TABLES
TABLE 01. GLOBAL ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
TABLE 02. ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET FOR ON PREMISES, BY REGION, 2022-2032 ($MILLION)
TABLE 03. ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET FOR CLOUD, BY REGION, 2022-2032 ($MILLION)
TABLE 04. GLOBAL ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
TABLE 05. ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET FOR SOLUTION, BY REGION, 2022-2032 ($MILLION)
TABLE 06. ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET FOR SERVICE, BY REGION, 2022-2032 ($MILLION)
TABLE 07. GLOBAL ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
TABLE 08. ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET FOR ENERGY GENERATION, BY REGION, 2022-2032 ($MILLION)
TABLE 09. ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET FOR ENERGY TRANSMISSION, BY REGION, 2022-2032 ($MILLION)
TABLE 10. ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET FOR ENERGY DISTRIBUTION, BY REGION, 2022-2032 ($MILLION)
TABLE 11. ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET FOR UTILITIES, BY REGION, 2022-2032 ($MILLION)
TABLE 12. ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY REGION, 2022-2032 ($MILLION)
TABLE 13. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
TABLE 14. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
TABLE 15. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
TABLE 16. NORTH AMERICA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COUNTRY, 2022-2032 ($MILLION)
TABLE 17. U.S. ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
TABLE 18. U.S. ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
TABLE 19. U.S. ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
TABLE 20. CANADA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
TABLE 21. CANADA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
TABLE 22. CANADA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
TABLE 23. MEXICO ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
TABLE 24. MEXICO ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
TABLE 25. MEXICO ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
TABLE 26. EUROPE ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
TABLE 27. EUROPE ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
TABLE 28. EUROPE ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
TABLE 29. EUROPE ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COUNTRY, 2022-2032 ($MILLION)
TABLE 30. GERMANY ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
TABLE 31. GERMANY ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
TABLE 32. GERMANY ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
TABLE 33. FRANCE ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
TABLE 34. FRANCE ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
TABLE 35. FRANCE ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
TABLE 36. UK ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
TABLE 37. UK ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
TABLE 38. UK ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
TABLE 39. SPAIN ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
TABLE 40. SPAIN ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
TABLE 41. SPAIN ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
TABLE 42. ITALY ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
TABLE 43. ITALY ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
TABLE 44. ITALY ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
TABLE 45. REST OF EUROPE ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
TABLE 46. REST OF EUROPE ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
TABLE 47. REST OF EUROPE ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
TABLE 48. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
TABLE 49. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
TABLE 50. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
TABLE 51. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COUNTRY, 2022-2032 ($MILLION)
TABLE 52. CHINA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
TABLE 53. CHINA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
TABLE 54. CHINA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
TABLE 55. JAPAN ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
TABLE 56. JAPAN ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
TABLE 57. JAPAN ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
TABLE 58. INDIA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
TABLE 59. INDIA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
TABLE 60. INDIA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
TABLE 61. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
TABLE 62. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
TABLE 63. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
TABLE 64. AUSTRALIA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
TABLE 65. AUSTRALIA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
TABLE 66. AUSTRALIA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
TABLE 67. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
TABLE 68. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
TABLE 69. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
TABLE 70. LAMEA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
TABLE 71. LAMEA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
TABLE 72. LAMEA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
TABLE 73. LAMEA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COUNTRY, 2022-2032 ($MILLION)
TABLE 74. BRAZIL ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
TABLE 75. BRAZIL ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
TABLE 76. BRAZIL ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
TABLE 77. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
TABLE 78. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
TABLE 79. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
TABLE 80. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
TABLE 81. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
TABLE 82. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
TABLE 83. REST OF LAMEA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022-2032 ($MILLION)
TABLE 84. REST OF LAMEA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022-2032 ($MILLION)
TABLE 85. REST OF LAMEA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022-2032 ($MILLION)
TABLE 86. ALPIQ HOLDING LTD.: KEY EXECUTIVES
TABLE 87. ALPIQ HOLDING LTD.: COMPANY SNAPSHOT
TABLE 88. ALPIQ HOLDING LTD.: PRODUCT SEGMENTS
TABLE 89. ALPIQ HOLDING LTD.: SERVICE SEGMENTS
TABLE 90. ALPIQ HOLDING LTD.: PRODUCT PORTFOLIO
TABLE 91. APP ORCHID: KEY EXECUTIVES
TABLE 92. APP ORCHID: COMPANY SNAPSHOT
TABLE 93. APP ORCHID: SERVICE SEGMENTS
TABLE 94. APP ORCHID: PRODUCT PORTFOLIO
TABLE 95. ATOS SE: KEY EXECUTIVES
TABLE 96. ATOS SE: COMPANY SNAPSHOT
TABLE 97. ATOS SE: SERVICE SEGMENTS
TABLE 98. ATOS SE: PRODUCT PORTFOLIO
TABLE 99. ENEL SPA: KEY EXECUTIVES
TABLE 100. ENEL SPA: COMPANY SNAPSHOT
TABLE 101. ENEL SPA: SERVICE SEGMENTS
TABLE 102. ENEL SPA: PRODUCT PORTFOLIO
TABLE 103. ENPHASE ENERGY: KEY EXECUTIVES
TABLE 104. ENPHASE ENERGY: COMPANY SNAPSHOT
TABLE 105. ENPHASE ENERGY: SERVICE SEGMENTS
TABLE 106. ENPHASE ENERGY: PRODUCT PORTFOLIO
TABLE 107. FLEX LTD.: KEY EXECUTIVES
TABLE 108. FLEX LTD.: COMPANY SNAPSHOT
TABLE 109. FLEX LTD.: PRODUCT SEGMENTS
TABLE 110. FLEX LTD.: PRODUCT PORTFOLIO
TABLE 111. GENERAL ELECTRIC: KEY EXECUTIVES
TABLE 112. GENERAL ELECTRIC: COMPANY SNAPSHOT
TABLE 113. GENERAL ELECTRIC: PRODUCT SEGMENTS
TABLE 114. GENERAL ELECTRIC: PRODUCT PORTFOLIO
TABLE 115. GENERAL ELECTRIC: KEY STRATERGIES
TABLE 116. ORIGAMI: KEY EXECUTIVES
TABLE 117. ORIGAMI: COMPANY SNAPSHOT
TABLE 118. ORIGAMI: SERVICE SEGMENTS
TABLE 119. ORIGAMI: PRODUCT PORTFOLIO
TABLE 120. SIEMENS AG: KEY EXECUTIVES
TABLE 121. SIEMENS AG: COMPANY SNAPSHOT
TABLE 122. SIEMENS AG: PRODUCT SEGMENTS
TABLE 123. SIEMENS AG: PRODUCT PORTFOLIO
TABLE 124. SIEMENS AG: KEY STRATERGIES
TABLE 125. VESTAS: KEY EXECUTIVES
TABLE 126. VESTAS: COMPANY SNAPSHOT
TABLE 127. VESTAS: PRODUCT SEGMENTS
TABLE 128. VESTAS: SERVICE SEGMENTS
TABLE 129. VESTAS: PRODUCT PORTFOLIO
LIST OF FIGURES
FIGURE 01. ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, 2022-2032
FIGURE 02. SEGMENTATION OF ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET,2022-2032
FIGURE 03. TOP IMPACTING FACTORS IN ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET (2022 TO 2032)
FIGURE 04. TOP INVESTMENT POCKETS IN ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET (2023-2032)
FIGURE 05. MODERATE BARGAINING POWER OF SUPPLIERS
FIGURE 06. HIGH THREAT OF NEW ENTRANTS
FIGURE 07. HIGH THREAT OF SUBSTITUTES
FIGURE 08. HIGH INTENSITY OF RIVALRY
FIGURE 09. HIGH BARGAINING POWER OF BUYERS
FIGURE 10. GLOBAL ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET:DRIVERS, RESTRAINTS AND OPPORTUNITIES
FIGURE 11. IMPACT OF KEY REGULATION: ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET
FIGURE 12. PATENT ANALYSIS BY COMPANY
FIGURE 13. PATENT ANALYSIS BY COUNTRY
FIGURE 14. REGULATORY GUIDELINES: ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET
FIGURE 15. ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY DEPLOYMENT TYPE, 2022 AND 2032(%)
FIGURE 16. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET FOR ON PREMISES, BY COUNTRY 2022 AND 2032(%)
FIGURE 17. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET FOR CLOUD, BY COUNTRY 2022 AND 2032(%)
FIGURE 18. ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY COMPONENT TYPE, 2022 AND 2032(%)
FIGURE 19. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET FOR SOLUTION, BY COUNTRY 2022 AND 2032(%)
FIGURE 20. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET FOR SERVICE, BY COUNTRY 2022 AND 2032(%)
FIGURE 21. ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END-USE INDUSTRY, 2022 AND 2032(%)
FIGURE 22. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET FOR ENERGY GENERATION, BY COUNTRY 2022 AND 2032(%)
FIGURE 23. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET FOR ENERGY TRANSMISSION, BY COUNTRY 2022 AND 2032(%)
FIGURE 24. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET FOR ENERGY DISTRIBUTION, BY COUNTRY 2022 AND 2032(%)
FIGURE 25. COMPARATIVE SHARE ANALYSIS OF ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET FOR UTILITIES, BY COUNTRY 2022 AND 2032(%)
FIGURE 26. ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET BY REGION, 2022 AND 2032(%)
FIGURE 27. U.S. ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, 2022-2032 ($MILLION)
FIGURE 28. CANADA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, 2022-2032 ($MILLION)
FIGURE 29. MEXICO ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, 2022-2032 ($MILLION)
FIGURE 30. GERMANY ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, 2022-2032 ($MILLION)
FIGURE 31. FRANCE ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, 2022-2032 ($MILLION)
FIGURE 32. UK ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, 2022-2032 ($MILLION)
FIGURE 33. SPAIN ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, 2022-2032 ($MILLION)
FIGURE 34. ITALY ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, 2022-2032 ($MILLION)
FIGURE 35. REST OF EUROPE ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, 2022-2032 ($MILLION)
FIGURE 36. CHINA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, 2022-2032 ($MILLION)
FIGURE 37. JAPAN ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, 2022-2032 ($MILLION)
FIGURE 38. INDIA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, 2022-2032 ($MILLION)
FIGURE 39. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, 2022-2032 ($MILLION)
FIGURE 40. AUSTRALIA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, 2022-2032 ($MILLION)
FIGURE 41. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, 2022-2032 ($MILLION)
FIGURE 42. BRAZIL ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, 2022-2032 ($MILLION)
FIGURE 43. SOUTH AFRICA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, 2022-2032 ($MILLION)
FIGURE 44. SAUDI ARABIA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, 2022-2032 ($MILLION)
FIGURE 45. REST OF LAMEA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, 2022-2032 ($MILLION)
FIGURE 46. TOP WINNING STRATEGIES, BY YEAR (2022-2022)
FIGURE 47. TOP WINNING STRATEGIES, BY DEVELOPMENT (2022-2022)
FIGURE 48. TOP WINNING STRATEGIES, BY COMPANY (2022-2022)
FIGURE 49. PRODUCT MAPPING OF TOP 10 PLAYERS
FIGURE 50. COMPETITIVE DASHBOARD
FIGURE 51. COMPETITIVE HEATMAP: ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET
FIGURE 52. TOP PLAYER POSITIONING, 2022
FIGURE 53. ATOS SE: NET REVENUE, 2019-2021 ($MILLION)
FIGURE 54. ATOS SE: REVENUE SHARE BY SEGMENT, 2021 (%)
FIGURE 55. ATOS SE: REVENUE SHARE BY REGION, 2021 (%)
FIGURE 56. ENPHASE ENERGY: RESEARCH & DEVELOPMENT EXPENDITURE, 2020-2022 ($MILLION)
FIGURE 57. ENPHASE ENERGY: NET REVENUE, 2020-2022 ($MILLION)
FIGURE 58. ENPHASE ENERGY: REVENUE SHARE BY REGION, 2022 (%)
FIGURE 59. FLEX LTD.: NET REVENUE, 2021-2023 ($BILLION)
FIGURE 60. FLEX LTD.: REVENUE SHARE BY REGION, 2022 (%)
FIGURE 61. GENERAL ELECTRIC: NET REVENUE, 2019-2021 ($MILLION)
FIGURE 62. GENERAL ELECTRIC: RESEARCH & DEVELOPMENT EXPENDITURE, 2019-2021 ($MILLION)
FIGURE 63. GENERAL ELECTRIC: REVENUE SHARE BY SEGMENT, 2021 (%)
FIGURE 64. GENERAL ELECTRIC: REVENUE SHARE BY REGION, 2021 (%)
FIGURE 65. SIEMENS AG: NET REVENUE, 2020-2022 ($MILLION)
FIGURE 66. SIEMENS AG: RESEARCH & DEVELOPMENT EXPENDITURE, 2020-2022 ($MILLION)
FIGURE 67. SIEMENS AG: REVENUE SHARE BY SEGMENT, 2022 (%)
FIGURE 68. SIEMENS AG: REVENUE SHARE BY REGION, 2022 (%)
FIGURE 69. VESTAS: NET REVENUE, 2019-2021 ($MILLION)
FIGURE 70. VESTAS: REVENUE SHARE BY SEGMENT, 2021 (%)
FIGURE 71. VESTAS: REVENUE SHARE BY REGION, 2021 (%)
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