Press release
Artificial Intelligence in Energy Market 2027| ABB, Alphabet, General Electric, IBM, Siemens, Schneider Electric, BuildingIQ, Enlighted, Grid4C, Watty
Recent research and the current scenario as well as future market potential of "Global Artificial Intelligence in Energy Market - 2019-2026".
The Artificial Intelligence in Energy Market is expected to grow at a CAGR during the forecasting period (2020-2027).
Get Free Sample Report of Artificial Intelligence in Energy Market & COVID-19 Impact Analysis @ https://decisionmarketreports.com/request-sample/1328263
Artificial Intelligence is being used in the energy sector for stabilizing power grids by creating an 'autonomous grid' which is programmed with past fluctuations and weak points on the grid. Such an autonomous grid would be able to respond to power fluctuations on its own seamlessly.
Global Artificial Intelligence in Energy Market - Market Dynamics
The Global Artificial Intelligence in Energy Market is predominantly driven by the increasing demand of data integration and visual analytics by energy companies for getting relevant and useful business insights from their huge repository of data. Another factor driving the growth of AI in the energy sector is the growing need to decrease uncertainty mainly in the renewable energy sector, which is touted to be the future of energy supply management.
Industries have resorted to automation of repetitive and risky tasks to cut costs and decrease human errors in the production process. However, this has led end-users to search for solutions to address the limitations of industrial automation and robotics technologies. These limitations arise due to factors such as cost, computational capacity, storage, size, power supply, motion mode, and working environment. Therefore, the need to enhance existing systems using AI has also resulted in the increase in the demand for cloud-based Artificial Intelligence solutions.
Energy companies require Artificial Intelligence platforms to link multiple enterprise systems with the internet and other cloud-based applications to facilitate real-time information exchange, given that globalization has led to customers, suppliers, and companies being scattered across the world. There has been an increased demand for bringing in AI in the energy sector primarily as it need low and substantial seed investment, and the low level of a risk of failure.
Artificial Intelligence allows real-time synthesizing of data to facilitate stat analysis which leads to an efficient decision-making system. The increased levels of complexity have also made deployment of data processing interface difficult, leading to an increase in demand for data integration solutions. The exponential rate of increase in the volume of data that needs to be processed played a major role in increasing the demand for Artificial Intelligence in data processing as meaningful insights are the need for energy companies.
Lack of availability of skilled staff ready to cope with the change in software/hardware services is hindering the penetrability of AI in the energy sector until the clients have employees who can deal with the disruption in the status quo caused due to incorporating AI.
Global Artificial Intelligence in Energy Market - Segment Analysis
By solution, the Global Artificial Intelligence in Energy Market solution is segmented into software, hardware, and services. Services sector is further sub-segmented to support & maintenance, and consulting services. Software solutions for artificial intelligence processing interfaces is the leading sector in the Energy AI market and is mainly used by power companies to predict and manage fluctuations based on past data. Demand is expected to surge in this segment as there is a substantial need from power supply companies to predict fluctuations such as surges and dips in power requirements of consumers so as to give them a viable estimate to producers beforehand.
By application, the Global Artificial Intelligence in Energy Market is segmented into Load Research & Forecasting, Optimization, and Transmission & Distribution. Load research & forecasting sector is anticipated to have strong growth in the coming years, due to increasing need for analysing energy demand and load requirements. Forecasting also refers to clients using AI to predict when their systems might fail, so that they can opt for necessary precautionary measures.
Global Artificial Intelligence in Energy Market- Geographical Analysis
A major portion of the Global Artificial Intelligence in Energy Market Share is predicted to be concentrated in North America, despite the fact that the Global Artificial Intelligence Market as a whole is forecasted to be centred in the APAC region. One of the major reason is the increased spending by big tech companies on developing Artificial Intelligence for applications in distinct fields. For example, Enlighted (a company based in USA), which works in this sector has already received over USD 80 Million in funding from investors.
Global Artificial Intelligence in Energy Market- Competitive Analysis
The Global Artificial Intelligence in Energy Market is a concentrated market, with the key players holding most of the market share, and the others having a minute market share globally.
Key players in the industry are focusing on security issues that arise in AI. For instance, IBM, has dedicated resources to develop a secure, autonomous grid to defend it from malicious cyber-attacks, a problem with serious consequences in today's world.
Alphabet, has made huge strides in this field, by developing a revolutionary technology which has the ability to predict power supply output 36 hours before the actual generation, ensuring that its clients can give a confident estimate of power supply to consumers. This reduces the inherent uncertainty in the wind power industry.
General Electric has started catering to AI market consisting of energy companies that requires market insights to analyse predictive patterns to augment energy savings through Big Data analytics.
Building IQ on the other hand, is focusing on large building complexes to provide predictive solutions for energy optimization using Artificial Intelligence. It takes into account factors such as thermodynamic information of a building, weather forecast in the region and so on.
Market Players-
ABB
Alphabet
General Electric
IBM
Siemens
Schneider Electric
BuildingIQ
Enlighted
Grid4C
Watty
Key Takeaways
Given that the market as a whole is still in its nascent stages, companies providing AI solutions to clients in the energy industry have a huge opportunity to capitalise on this boom in demand.
The energy sector as a whole is undergoing a rapid transformation in making each component in the supply chain smart.
Over the next several years, AI is expected to boost efficiencies across the renewable energy sector by automating operations in the solar and wind industries.
The AI in energy sector is also bound to benefit from the fact that there is a shift of preferences of consumers from machines which decrease production time to machines which learn while doing the same.
North America has emerged as the leading region with the highest market share. This might be due to the presence of major tech companies, which form the Silicon Valley in the US.
Companies which invest in AI ventures are bound to witness an upsurge in revenue generated.
If You Want Additional Information Or Specific Requirement About Impact of COVID-19 on Artificial Intelligence in Energy Market @ https://decisionmarketreports.com/request-customization/1328263
Why Purchase the Report?
Visualize the composition of the Global Artificial Intelligence in Energy Market across each segment, highlighting the key commercial assets and players.
Identify commercial opportunities in Global Artificial Intelligence in Energy Market by analysing trends and co-development deals.
Excel data sheet with thousands of data points of the Global Artificial Intelligence in Energy Market market - level 4/5 segmentation.
PDF report with the most relevant analysis cogently put together after exhaustive qualitative interviews and in-depth market study.
Product mapping in excel for the key products of all major market players
Target Audience:
Equipment Suppliers/ Buyers
Service Providers/ Buyers
Industry Investors/Investment Bankers
Education & Research Institutes
Research Professionals
Emerging Companies
Manufacturers
Contact Us :
Gasper James
304, S Jones Blvd,
Las Vegas,
NV 89107, USA
US Toll Free +1-866-605-1052
Email: sales@decisionmarketreports.com
Web: https://decisionmarketreports.com
Market Info 24/7
About Us :
Decision Market Reports is a one-stop solution, covers market research studies of all the industries, companies and regions. DMR aims at providing quality research, and insights about every market to helps our clients in taking right decisions. Our repository consists of most trending industry reports, niche areas, and leading company profiles. A comprehensive collection of reports is updated daily to offer hassle-free access to our latest updated report databases.
The Artificial Intelligence in Energy Market is expected to grow at a CAGR during the forecasting period (2020-2027).
Get Free Sample Report of Artificial Intelligence in Energy Market & COVID-19 Impact Analysis @ https://decisionmarketreports.com/request-sample/1328263
Artificial Intelligence is being used in the energy sector for stabilizing power grids by creating an 'autonomous grid' which is programmed with past fluctuations and weak points on the grid. Such an autonomous grid would be able to respond to power fluctuations on its own seamlessly.
Global Artificial Intelligence in Energy Market - Market Dynamics
The Global Artificial Intelligence in Energy Market is predominantly driven by the increasing demand of data integration and visual analytics by energy companies for getting relevant and useful business insights from their huge repository of data. Another factor driving the growth of AI in the energy sector is the growing need to decrease uncertainty mainly in the renewable energy sector, which is touted to be the future of energy supply management.
Industries have resorted to automation of repetitive and risky tasks to cut costs and decrease human errors in the production process. However, this has led end-users to search for solutions to address the limitations of industrial automation and robotics technologies. These limitations arise due to factors such as cost, computational capacity, storage, size, power supply, motion mode, and working environment. Therefore, the need to enhance existing systems using AI has also resulted in the increase in the demand for cloud-based Artificial Intelligence solutions.
Energy companies require Artificial Intelligence platforms to link multiple enterprise systems with the internet and other cloud-based applications to facilitate real-time information exchange, given that globalization has led to customers, suppliers, and companies being scattered across the world. There has been an increased demand for bringing in AI in the energy sector primarily as it need low and substantial seed investment, and the low level of a risk of failure.
Artificial Intelligence allows real-time synthesizing of data to facilitate stat analysis which leads to an efficient decision-making system. The increased levels of complexity have also made deployment of data processing interface difficult, leading to an increase in demand for data integration solutions. The exponential rate of increase in the volume of data that needs to be processed played a major role in increasing the demand for Artificial Intelligence in data processing as meaningful insights are the need for energy companies.
Lack of availability of skilled staff ready to cope with the change in software/hardware services is hindering the penetrability of AI in the energy sector until the clients have employees who can deal with the disruption in the status quo caused due to incorporating AI.
Global Artificial Intelligence in Energy Market - Segment Analysis
By solution, the Global Artificial Intelligence in Energy Market solution is segmented into software, hardware, and services. Services sector is further sub-segmented to support & maintenance, and consulting services. Software solutions for artificial intelligence processing interfaces is the leading sector in the Energy AI market and is mainly used by power companies to predict and manage fluctuations based on past data. Demand is expected to surge in this segment as there is a substantial need from power supply companies to predict fluctuations such as surges and dips in power requirements of consumers so as to give them a viable estimate to producers beforehand.
By application, the Global Artificial Intelligence in Energy Market is segmented into Load Research & Forecasting, Optimization, and Transmission & Distribution. Load research & forecasting sector is anticipated to have strong growth in the coming years, due to increasing need for analysing energy demand and load requirements. Forecasting also refers to clients using AI to predict when their systems might fail, so that they can opt for necessary precautionary measures.
Global Artificial Intelligence in Energy Market- Geographical Analysis
A major portion of the Global Artificial Intelligence in Energy Market Share is predicted to be concentrated in North America, despite the fact that the Global Artificial Intelligence Market as a whole is forecasted to be centred in the APAC region. One of the major reason is the increased spending by big tech companies on developing Artificial Intelligence for applications in distinct fields. For example, Enlighted (a company based in USA), which works in this sector has already received over USD 80 Million in funding from investors.
Global Artificial Intelligence in Energy Market- Competitive Analysis
The Global Artificial Intelligence in Energy Market is a concentrated market, with the key players holding most of the market share, and the others having a minute market share globally.
Key players in the industry are focusing on security issues that arise in AI. For instance, IBM, has dedicated resources to develop a secure, autonomous grid to defend it from malicious cyber-attacks, a problem with serious consequences in today's world.
Alphabet, has made huge strides in this field, by developing a revolutionary technology which has the ability to predict power supply output 36 hours before the actual generation, ensuring that its clients can give a confident estimate of power supply to consumers. This reduces the inherent uncertainty in the wind power industry.
General Electric has started catering to AI market consisting of energy companies that requires market insights to analyse predictive patterns to augment energy savings through Big Data analytics.
Building IQ on the other hand, is focusing on large building complexes to provide predictive solutions for energy optimization using Artificial Intelligence. It takes into account factors such as thermodynamic information of a building, weather forecast in the region and so on.
Market Players-
ABB
Alphabet
General Electric
IBM
Siemens
Schneider Electric
BuildingIQ
Enlighted
Grid4C
Watty
Key Takeaways
Given that the market as a whole is still in its nascent stages, companies providing AI solutions to clients in the energy industry have a huge opportunity to capitalise on this boom in demand.
The energy sector as a whole is undergoing a rapid transformation in making each component in the supply chain smart.
Over the next several years, AI is expected to boost efficiencies across the renewable energy sector by automating operations in the solar and wind industries.
The AI in energy sector is also bound to benefit from the fact that there is a shift of preferences of consumers from machines which decrease production time to machines which learn while doing the same.
North America has emerged as the leading region with the highest market share. This might be due to the presence of major tech companies, which form the Silicon Valley in the US.
Companies which invest in AI ventures are bound to witness an upsurge in revenue generated.
If You Want Additional Information Or Specific Requirement About Impact of COVID-19 on Artificial Intelligence in Energy Market @ https://decisionmarketreports.com/request-customization/1328263
Why Purchase the Report?
Visualize the composition of the Global Artificial Intelligence in Energy Market across each segment, highlighting the key commercial assets and players.
Identify commercial opportunities in Global Artificial Intelligence in Energy Market by analysing trends and co-development deals.
Excel data sheet with thousands of data points of the Global Artificial Intelligence in Energy Market market - level 4/5 segmentation.
PDF report with the most relevant analysis cogently put together after exhaustive qualitative interviews and in-depth market study.
Product mapping in excel for the key products of all major market players
Target Audience:
Equipment Suppliers/ Buyers
Service Providers/ Buyers
Industry Investors/Investment Bankers
Education & Research Institutes
Research Professionals
Emerging Companies
Manufacturers
Contact Us :
Gasper James
304, S Jones Blvd,
Las Vegas,
NV 89107, USA
US Toll Free +1-866-605-1052
Email: sales@decisionmarketreports.com
Web: https://decisionmarketreports.com
Market Info 24/7
About Us :
Decision Market Reports is a one-stop solution, covers market research studies of all the industries, companies and regions. DMR aims at providing quality research, and insights about every market to helps our clients in taking right decisions. Our repository consists of most trending industry reports, niche areas, and leading company profiles. A comprehensive collection of reports is updated daily to offer hassle-free access to our latest updated report databases.
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