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The applied AI in energy and utilities market is forecasted to grow by USD 1.46 billion during 2024-2029, accelerating at a CAGR of 27.3% during the forecast period. The report on the applied AI in energy and utilities market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.Speak directly to the analyst to clarify any post sales queries you may have.
The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by critical imperative for grid modernization and resilience, global mandate for decarbonization and renewable energy integration, and unrelenting pursuit of operational efficiency and cost reduction.
The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.
The applied AI in energy and utilities market is segmented as below:
By Deployment
- Cloud-based
- On-premises
By Application
- Renewables management
- Demand forecasting
- Grid management
- Energy management and optimization
- Others
By Technology
- Machine learning
- Predictive analytics
- Deep learning
- Computer vision
- Others
By Geographical Landscape
- North America
- APAC
- Europe
- Middle East and Africa
- South America
The report on the applied AI in energy and utilities market covers the following areas:
- Applied AI In Energy And Utilities Market sizing
- Applied AI In Energy And Utilities Market forecast
- Applied AI In Energy And Utilities Market industry analysis
The report presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.
Table of Contents
1 Executive Summary
2 Market Analysis
3 Market Landscape
4 Market Sizing
5 Historic Market Size
6 Five Forces Analysis
7 Market Segmentation by Deployment
8 Market Segmentation by Application
9 Market Segmentation by Technology
10 Customer Landscape
11 Geographic Landscape
12 Drivers, Challenges, and Opportunity/Restraints
13 Competitive Landscape
14 Competitive Analysis
15 Appendix
List of Exhibits
Executive Summary
The following companies are recognized as the key players in the global applied ai in energy and utilities market: ABB Ltd., Amazon Web Services Inc., Arundo Analytics Inc., BIDGELY INC., C3.ai Inc., General Electric Co., Google LLC, Honeywell International Inc., International Business Machines Corp., Landis Gyr AG, Microsoft Corp., NVIDIA Corp., Oracle Corp., Palantir Technologies Inc., SAP SE, Schneider Electric SE, Siemens AG, SparkCognition Inc., Stem Inc., and Verdigris Technologies Inc..Commenting on the report, an analyst from the research team said: "The latest trend gaining momentum in the market is generative ai as a catalyst for predictive maintenance and advanced operational simulation."
According to the report, one of the major drivers for this market is the critical imperative for grid modernization and resilience.
The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market and vendor landscape in addition to a SWOT analysis of the key vendors.
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- ABB Ltd.
- Amazon Web Services Inc.
- Arundo Analytics Inc.
- BIDGELY INC.
- C3.ai Inc.
- General Electric Co.
- Google LLC
- Honeywell International Inc.
- International Business Machines Corp.
- Landis Gyr AG
- Microsoft Corp.
- NVIDIA Corp.
- Oracle Corp.
- Palantir Technologies Inc.
- SAP SE
- Schneider Electric SE
- Siemens AG
- SparkCognition Inc.
- Stem Inc.
- Verdigris Technologies Inc.
