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India Artificial Intelligence in Renewable Energy Market Size, Trends & Analysis - Forecasts to 2029 By Application (Robotics, Renewables Management, Demand Forecasting, Safety and Security, Infrastructure, and Others) and By End User (Energy Transmission, Energy Generation, Energy Distribution, and Utilities), Competitive Landscape, Company Market Share Analysis, and End User Analysis
The India artificial intelligence (AI) in renewable energy market is projected to grow at a CAGR of 28.8% from 2024 to 2029.
Government initiatives to promote renewable energy adoption have considerably accelerated India's AI in renewable energy market growth. Through rules and incentives, the Indian government significantly encourages investment in the sector. AI applications complement these goals and receive critical support. This government support is essential in promoting market growth and establishing a favorable climate for technological breakthroughs in the renewable energy industry.
Artificial intelligence and machine learning have transformed the renewable energy business. These developments enable more advanced applications, allowing AI systems to maximize energy output, detect equipment breakdowns, and improve overall system performance. The integration of AI provides unparalleled capabilities, enabling more efficient control and exploitation of renewable energy resources. This technological advancement adds considerably to the sector's growth by increasing output, reliability, and efficiency in renewable energy systems.
AI improves operational efficiency and maximizes energy output via data analysis, resulting in a more intelligent and adaptive approach to renewable resource management. This incorporation of AI-driven data analytics helps the sector progress by encouraging the more responsive and effective use of renewable energy.
The rapid advancement of AI technology necessitates a staff with specialized expertise. The scarcity of personnel knowledgeable about AI and renewable energy may limit the widespread use of both technologies.
The demand forecasting segment is expected to hold the largest share of the market. This expected growth is due to AI’s vital role in optimizing resource allocation and improving operational efficiency in the renewable energy industry. AI's predictive analytics and machine learning skills allow for accurate forecasting of energy demand, resulting in better planning and decision-making.
The infrastructure segment is expected to be the fastest-growing segment in the market from 2024-2029. The growth is attributed to the increasing investments in modernizing energy infrastructure. The increased demand for improved solutions in energy distribution, grid management, and smart infrastructure mainly contributes to the fastest growth of the infrastructure segment in the Indian artificial intelligence in renewable energy market.
The energy distribution segment is anticipated to be the fastest-growing segment in the market from 2024 to 2029. The segment's growth is attributed to the increasing integration of AI technologies. As energy grids become smarter, artificial intelligence (AI) is increasingly important in optimizing energy distribution, enhancing grid dependability, and minimizing losses. The use of advanced analytics and machine learning in energy distribution systems is likely to contribute to the segment's expansion, addressing the growing demand for efficient and sustainable energy distribution solutions.
The energy generation segment is expected to hold the largest share of the market. This is primarily due to the important role of AI in optimizing renewable energy production. AI applications improve operational efficiency, predictive maintenance, and grid management, resulting in higher energy output.
BOLT, GPS Renewables, Prescinto, Numocity, Chara, Alt Mobility, ePlane, Cellestial E-mobility, Sheru, and Skilancer Solar, among others, are some of the key players operating in the India artificial intelligence in renewable energy market.
Please note: This is not an exhaustive list of companies profiled in the report.
In March 2022, Prescinto Technologies partnered with Integrum Energy, a leading CAPEX solution provider in India, to implement real-time monitoring and analytics for their wind and solar farms. Prescinto's AI-powered platform facilitates digital transformation for Integrum Energy's 100 MW assets across India, offering actionable intelligence on their renewable energy portfolio.
In December 2023, GPS Renewables, an engineering company, secured orders worth Rs 2,000 crore (USD 267 Million) for multiple compressed biogas (CBG) projects. The projects, undertaken in collaboration with Indian Oil Corporation (IOCL) through GPSR Arya, aim to transform waste management by processing agricultural residue, energy crops, and municipal solid waste. The CBG plants are designed to handle 4,000 tonnes of agri-residue and energy crops daily, along with 300 tonnes of municipal solid waste, curbing landfill accumulation.
1 STRATEGIC INSIGHTS ON NEW REVENUE POCKETS
1.1 Strategic Opportunity & Attractiveness Analysis
1.1.1 Hot Revenue Pockets
1.1.2 Market Attractiveness Score
1.1.3 Revenue Impacting Opportunity
1.1.4 High Growing Region/Country
1.1.5 Competitor Analysis
1.1.6 Consumer Analysis
1.2 Global Market Estimates' View
1.3 Strategic Insights across Business Applications
1.3.1 For Chief Executive Officers
1.3.2 For Chief Marketing Officers
1.3.3 For Chief Strategy Officers
1.4 Evaluate the Potential of your Existing Business Lines vs. New Lines to Enter Into
2 TECHNOLOGICAL TRENDS
2.1 Technological Adoption Rate
2.2 Current Trend Impact Analysis
2.3 Future Trend Impact Analysis
3 INDIA MARKET OUTLOOK
3.1 Market Pyramid Analysis
3.1.1 Introduction
3.1.2 Adjacent Market Opportunities
3.1.3 Ancillary Market Opportunities
3.2 Demand Side Analysis
3.2.1 Market Drivers: Impact Analysis
3.2.2 Market Restraints: Impact Analysis
3.2.3 Market Opportunities: Impact Analysis
3.2.4 Market Challenges: Impact Analysis
3.3 Supply Side Analysis
3.3.1 Porter’s Five Forces Analysis
3.3.1.1 Threat of New Entrants
3.3.1.2 Threat of New Substitutes
3.3.1.3 Bargaining Power of Suppliers
3.3.1.4 Bargaining Power of Buyers
3.3.1.5 Intensity of Competitive Rivalry
3.3.2 SWOT Analysis; By Factor (Political & Legal, Economic, and Technological)
3.3.2.1 Political Landscape
3.3.2.2 Economic Landscape
3.3.2.3 Social Landscape
3.3.2.4 Application Landscape
3.3.3 Value Chain Analysis
3.3.4 Trend Analysis
3.3.5 Gap Analysis
3.3.6 Cost Analysis
4 INDIA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY APPLICATION
4.1 Introduction
4.2 Artificial Intelligence in Renewable Energy Market: Application Scope Key Takeaways
4.3 Revenue Growth Analysis, 2023 & 2029
4.4 Robotics
4.4.1 Robotics Market Estimates and Forecast, 2021-2029 (USD Million)
4.5 Renewables Management
4.5.1 Renewables Management Market Estimates and Forecast, 2021-2029 (USD Million)
4.6 Demand Forecasting
4.6.1 Demand Forecasting Market Estimates and Forecast, 2021-2029 (USD Million)
4.7 Safety and Security
4.7.1 Safety and Security Market Estimates and Forecast, 2021-2029 (USD Million)
4.8 Infrastructure
4.8.1 Infrastructure Market Estimates and Forecast, 2021-2029 (USD Million)
4.9 Others
4.9.1 Others Market Estimates and Forecast, 2021-2029 (USD Million)
5 INDIA ARTIFICIAL INTELLIGENCE IN RENEWABLE ENERGY MARKET, BY END USER
5.1 Introduction
5.2 Artificial Intelligence in Renewable Energy Market: End User Scope Key Takeaways
5.3 Revenue Growth Analysis, 2023 & 2029
5.4 Energy Transmission
5.4.1 Energy Transmission Market Estimates and Forecast, 2021-2029 (USD Million)
5.5 Energy Generation
5.5.1 Energy Generation Market Estimates and Forecast, 2021-2029 (USD Million)
5.6 Energy Distribution
5.6.1 Energy Distribution Market Estimates and Forecast, 2021-2029 (USD Million)
5.7 Utilities
5.7.1 Utilties Market Estimates and Forecast, 2021-2029 (USD Million)
6 COMPETITIVE LANDCAPE
6.1 Company Market Share Analysis
6.2 Four Quadrant Positioning Matrix
6.2.1 Market Leaders
6.2.2 Market Visionaries
6.2.3 Market Challengers
6.2.4 Niche Market Players
6.3 Vendor Landscape
6.3.1 India
6.4 Company Profiles
6.4.1 BOLT
6.4.1.1 Business Description & Financial Analysis
6.4.1.2 SWOT Analysis
6.4.1.3 Products & Services Offered
6.4.1.4 Strategic Alliances between Business Partners
6.4.2 GPS Renewables
6.4.2.1 Business Description & Financial Analysis
6.4.2.2 SWOT Analysis
6.4.2.3 Products & Services Offered
6.4.2.4 Strategic Alliances between Business Partners
6.4.3 Prescinto
6.4.3.1 Business Description & Financial Analysis
6.4.3.2 SWOT Analysis
6.4.3.3 Products & Services Offered
6.4.3.4 Strategic Alliances between Business Partners
6.4.4 Numocity
6.4.4.1 Business Description & Financial Analysis
6.4.4.2 SWOT Analysis
6.4.4.3 Products & Services Offered
6.4.4.4 Strategic Alliances between Business Partners
6.4.5 Chara
6.4.5.1 Business Description & Financial Analysis
6.4.5.2 SWOT Analysis
6.4.5.3 Products & Services Offered
6.4.5.4 Strategic Alliances between Business Partners
6.4.6 Alt Mobility
6.4.6.1 Business Description & Financial Analysis
6.4.6.2 SWOT Analysis
6.4.6.3 Products & Services Offered
6.4.6.4 Strategic Alliances between Business Partners
6.4.7 EPlane
6.4.7.1 Business Description & Financial Analysis
6.4.7.2 SWOT Analysis
6.4.7.3 Products & Services Offered
6.4.8.4 Strategic Alliances between Business Partners
6.4.8 Cellestial E-Mobility
6.4.8.1 Business Description & Financial Analysis
6.4.8.2 SWOT Analysis
6.4.8.3 Products & Services Offered
6.4.8.4 Strategic Alliances between Business Partners
6.4.9 Sheru
6.4.9.1 Business Description & Financial Analysis
6.4.9.2 SWOT Analysis
6.4.9.3 Products & Services Offered
6.4.9.4 Strategic Alliances between Business Partners
6.4.10 Skilancer Solar
6.4.10.1 Business Description & Financial Analysis
6.4.10.2 SWOT Analysis
6.4.10.3 Products & Services Offered
6.4.10.4 Strategic Alliances between Business Partners
6.4.11 Other Companies
6.4.11.1 Business Description & Financial Analysis
6.4.11.2 SWOT Analysis
6.4.11.3 Products & Services Offered
6.4.11.4 Strategic Alliances between Business Partners
7 RESEARCH METHODOLOGY
7.1 Market Introduction
7.1.1 Market Definition
7.1.2 Market Scope & Segmentation
7.2 Information Procurement
7.2.1 Secondary Research
7.2.1.1 Purchased Databases
7.2.1.2 GMEs Internal Data Repository
7.2.1.3 Secondary Resources & Third Party Perspectives
7.2.1.4 Company Information Sources
7.2.2 Primary Research
7.2.2.1 Various Types of Respondents for Primary Interviews
7.2.2.2 Number of Interviews Conducted throughout the Research Process
7.2.2.3 Primary Stakeholders
7.2.2.4 Discussion Guide for Primary Participants
7.2.3 Expert Panels
7.2.3.1 Expert Panels Across 30+ Industry
7.2.4 Paid Local Experts
7.2.4.1 Paid Local Experts Across 30+ Industry Across each Region
7.3 Market Estimation
7.3.1 Top-Down Approach
7.3.1.1 Macro-Economic Indicators Considered
7.3.1.2 Micro-Economic Indicators Considered
7.3.2 Bottom Up Approach
7.3.2.1 Company Share Analysis Approach
7.3.2.2 Estimation of Potential Product Sales
7.4 Data Triangulation
7.4.1 Data Collection
7.4.2 Time Series, Cross Sectional & Panel Data Analysis
7.4.3 Cluster Analysis
7.5 Analysis and Output
7.5.1 Inhouse AI Based Real Time Analytics Tool
7.5.2 Output From Desk & Primary Research
7.6 Research Assumptions & Limitations
7.7.1 Research Assumptions
7.7.2 Research Limitations
LIST OF TABLES
1 India Artificial Intelligence in Renewable Energy Market, By Application, 2021-2029 (USD Million)
2 Robotics Market, 2021-2029 (USD Million)
3 Renewables Management Market, 2021-2029 (USD Million)
4 Demand Forecasting Market, 2021-2029 (USD Million)
5 Infrastructure Market, 2021-2029 (USD Million)
6 SAFETY & SECURITY Market, 2021-2029 (USD Million)
7 OTHERS Market, 2021-2029 (USD Million)
8 India Artificial Intelligence in Renewable Energy Market, By End User, 2021-2029 (USD Million)
9 Energy Transmission Market, 2021-2029 (USD Million)
10 Energy Generation Market, 2021-2029 (USD Million)
11 Energy DISTRIBUTION Market, 2021-2029 (USD Million)
12 UTILITIES Market, 2021-2029 (USD Million)
13 BOLT: Products & Services Offering
14 GPS Renewables: Products & Services Offering
15 Prescinto: Products & Services Offering
16 Numocity: Products & Services Offering
17 Chara: Products & Services Offering
18 Alt Mobility: Products & Services Offering
19 EPlane : Products & Services Offering
20 Cellestial E-Mobility: Products & Services Offering
21 Sheru, Inc: Products & Services Offering
22 Skilancer Solar : Products & Services Offering
23 Other Companies: Products & Services Offering
LIST OF FIGURES
1 India Artificial Intelligence in Renewable Energy Market Overview
2 India Artificial Intelligence in Renewable Energy Market Value From 2021-2029 (USD Million)
3 India Artificial Intelligence in Renewable Energy Market Share, By Application (2023)
4 India Artificial Intelligence in Renewable Energy Market Share, By End User (2023)
5 Technological Trends In India Artificial Intelligence in Renewable Energy Market
6 Four Quadrant Competitor Positioning Matrix
7 Impact Of Macro & Micro Indicators On The Market
8 Impact Of Key Drivers On The India Artificial Intelligence in Renewable Energy Market
9 Impact Of Challenges On The India Artificial Intelligence in Renewable Energy Market
10 Porter’s Five Forces Analysis
11 India Artificial Intelligence in Renewable Energy Market: By Application Scope Key Takeaways
12 India Artificial Intelligence in Renewable Energy Market, By Application Segment: Revenue Growth Analysis
13 Robotics Market, 2021-2029 (USD Million)
14 Renewables Management Market, 2021-2029 (USD Million)
15 Demand Forecasting Market, 2021-2029 (USD Million)
16 Safety and Security Market, 2021-2029 (USD Million)
17 Infrastructure Market, 2021-2029 (USD Million)
18 Others Market, 2021-2029 (USD Million)
19 India Artificial Intelligence in Renewable Energy Market: By End User Scope Key Takeaways
20 India Artificial Intelligence in Renewable Energy Market, By End User Segment: Revenue Growth Analysis
21 Energy Transmission Market, 2021-2029 (USD Million)
22 Energy Generation Market, 2021-2029 (USD Million)
23 Energy Distribution Market, 2021-2029 (USD Million)
24 Utilties Market, 2021-2029 (USD Million)
25 Four Quadrant Positioning Matrix
26 Company Market Share Analysis
27 BOLT: Company Snapshot
28 BOLT: SWOT Analysis
29 BOLT: Geographic Presence
30 GPS Renewables: Company Snapshot
31 GPS Renewables: SWOT Analysis
32 GPS Renewables: Geographic Presence
33 Prescinto: Company Snapshot
34 Prescinto: SWOT Analysis
35 Prescinto: Geographic Presence
36 Numocity: Company Snapshot
37 Numocity: Swot Analysis
38 Numocity: Geographic Presence
39 Chara: Company Snapshot
40 Chara: SWOT Analysis
41 Chara: Geographic Presence
42 Alt Mobility: Company Snapshot
43 Alt Mobility: SWOT Analysis
44 Alt Mobility: Geographic Presence
45 EPlane : Company Snapshot
46 EPlane : SWOT Analysis
47 EPlane : Geographic Presence
48 Cellestial E-Mobility: Company Snapshot
49 Cellestial E-Mobility: SWOT Analysis
50 Cellestial E-Mobility: Geographic Presence
51 Sheru, Inc.: Company Snapshot
52 Sheru, Inc.: SWOT Analysis
53 Sheru, Inc.: Geographic Presence
54 Skilancer Solar : Company Snapshot
55 Skilancer Solar : SWOT Analysis
56 Skilancer Solar : Geographic Presence
57 Other Companies: Company Snapshot
58 Other Companies: SWOT Analysis
59 Other Companies: Geographic Presence
The Global India Artificial Intelligence in Renewable Energy Market has been studied from the year 2019 till 2029. However, the CAGR provided in the report is from the year 2024 to 2029. The research methodology involved three stages: Desk research, Primary research, and Analysis & Output from the entire research process.
The desk research involved a robust background study which meant referring to paid and unpaid databases to understand the market dynamics; mapping contracts from press releases; identifying the key players in the market, studying their product portfolio, competition level, annual reports/SEC filings & investor presentations; and learning the demand and supply-side analysis for the India Artificial Intelligence in Renewable Energy Market.
The primary research activity included telephonic conversations with more than 50 tier 1 industry consultants, distributors, and end-use product manufacturers.
Finally, based on the above thorough research process, an in-depth analysis was carried out considering the following aspects: market attractiveness, current & future market trends, market share analysis, SWOT analysis of the company and customer analytics.
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