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Power Predictions - Emerging Technologies and Industry Innovations to Drive Transformation in the Power Sector by 2024
DUBLIN, March 6, 2024 /PRNewswire/ -- The "Power Predictions 2024 - Thematic Research" report has been added to ResearchAndMarkets.com's offering.
This report identifies the top 20 themes that will impact the power sector in 2024. For each theme, the report offers a series of predictions and identifies winners and losers.
The top themes for 2024 are classified into four groups.
- The major technology themes impacting the power sector in 2024 will be artificial intelligence (AI), big data, blockchain, cloud, cybersecurity, digitalization, the Internet of Things (IoT), the metaverse, and robotics.
- The major industry themes impacting the power sector in 2024 will be electric vehicles, energy storage, energy transition, hydrogen, nuclear, renewable energy, smart grid, carbon emissions, and distributed generation.
- The major macroeconomic theme impacting the power sector in 2024 will be geopolitics.
- The major environmental, social, and governance (ESG) theme impacting the power sector in 2024 will be ESG-environmental.
Report Scope
- The report covers the top 20 themes that would impact the power industry in 2024.
- It provides predictions with respect to technology theme, macroeconomic theme, industry theme, and ESG theme in the power sector.
- The report covers the top themes that includes artificial intelligence, big data, blockchain, cloud, cybersecurity, digitalization, the internet of things, the metaverse, robotics, electric vehicles, energy storage, energy transition, hydrogen, nuclear, renewable energy, smart grid, carbon emissions, distributed generation, geopolitics, and ESG-environmental.
- It provides an overview of deal trends, publishe patents and job trends for each theme.
- The report identifies winners and losers with respect to themes of power predictions 2024.
- It discusses about the impact and significance of each theme on power sector in the coming years.
The report provides:
- An overview of the top 20 themes that will impact the power sector in 2024.
- Predictions about technology themes such as artificial intelligence, big data, blockchain, cloud, cybersecurity, digitalization, the internet of things, the metaverse, and robotics.
- Power predictions on macroeconomic theme - geopolitics.
- Predictions on industry themes such as electric vehicles, energy storage, energy transition, hydrogen, nuclear, renewable energy, smart grid, carbon emissions and distributed generation on power utilities.
- Predictions on ESG theme - environmental.
- Insight to thematic research ecosystem-an integrated global research platform for an easy-to-use framework to track all themes and its impact on the power sector.
- An outlook on how each theme will make a significant impact on power utilities in terms of application and investment.
Key Topics Covered:
- Executive Summary
- 2023 Theme Map
- Artificial Intelligence
- Big Data
- Blockchain
- Cloud
- Cybersecurity
- Digitalization
- Internet of Things
- Metaverse
- Robotics
- Electric Vehicles
- Energy Storage
- Energy Transition
- Hydrogen
- Nuclear
- Renewable Energy
- Smart Grid
- Carbon Emissions
- Distributed Generation
- Geopolitics
- ESG-Environmental
Company Coverage:
- AES
- American Electric Power
- Alliant Energy
- Avangrid
- Austin Energy
- CLP Holdings
- CenterPoint Energy
- China General Nuclear Power Corporation
- China Huaneng Group
- Consolidated Edison
- Dominion Energy
- Duke Energy
- Electricite de France (EDF)
- Enel
- E.ON
- EnBW
- ENGIE
- Energias de Portugal
- Eversource Energy
- Eskom
- Exelon Corp
- Fortis
- Gazprom
- Hydro-Quebec
- Iberdrola
- JERA
- Korea Electric Power Corporation
- NextEra Energy
- NTPC
- NNEGC Energoatom
- Nuclear Power Corporation of India
- Ontartio Power Generation
- Orsted
- PSE&G
- RWE
- Rosatom
- SSE
- Sempra Energy
- Southern Company
- Tenaga Nasional
- TVA
- Vattenfall
- Xcel Energy
For more information about this report visit https://www.researchandmarkets.com/r/50fop6
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SOURCE Research and Markets
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