AI In Energy Global Market Opportunities And Strategies To 2033
Including: 1) By Offering: Support Services; Hardware; AI-As-A-Service; Software2) By Application: Demand Response Management; Fleet And Asset Management; Renewable Energy Management; Precision Drilling; Safety And Security; Infrastructure Management3) By End-User: Energy Transmission; Energy Generation; Energy Distribution; Utilities 4) By Deployment: On-Premise; Cloud Covering: Microsoft Corporation; Amazon.com, Inc.; Oracle Corporation; Schneider Electric SE; Alphabet Inc.
AI In Energy Global Market Opportunities And Strategies To 2033 from The Business Research Company provides the strategists; marketers and senior management with the critical information they need to assess the global AI in energy market as it emerges from the COVID-19 shut down.
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Description:
Where is the largest and fastest-growing market for AI in energy? How does the market relate to the overall economy; demography and other similar markets? What forces will shape the market going forward? The AI in energy market global report from The Business Research Company answers all these questions and many more.
The report covers market characteristics; size and growth; segmentation; regional and country breakdowns; competitive landscape; market shares; trends and strategies for this market. It traces the market’s history and forecasts market growth by geography. It places the market within the context of the wider AI in energy market; and compares it with other markets.
The report covers the following chapters
Introduction and Market Characteristics- Brief introduction to the segmentations covered in the market, definitions and explanations about the segment by offering, by technology, by deployment mode, by offering and by end-user.
Key Trends- Highlights the major trends shaping the global market. This section also highlights likely future developments in the market.
Macro-Economic Scenario- The report provides an analysis of the impact of the COVID-19 pandemic, impact of the Russia-Ukraine war and impact of rising inflation on global and regional markets, providing strategic insights for businesses in the AI in energy market.
Global Market Size And Growth- Global historic (2018-2023) and forecast (2023-2028, 2033F) market values and drivers and restraints that support and control the growth of the market in the historic and forecast periods.
Regional And Country Analysis - Historic (2018-2023) and forecast (2023-2028, 2033F) market values and growth and market share comparison by region and country.
Market Segmentation- Contains the market values (2018-2023) (2023-2028, 2033F) and analysis for each segment by offering, by technology, by deployment mode, by offering and by end-user in the market. Historic (2018-2023) and forecast (2023-2028) and (2028-2033) market values and growth and market share comparison by region market.
Regional Market Size and Growth- Regional market size (2023), historic (2018-2023) and forecast (2023-2028, 2033F) market values and growth and market share comparison of countries within the region. This report includes information on all the regions Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa and major countries within each region.
Competitive Landscape- Details on the competitive landscape of the market, estimated market shares and company profiles of the leading players.
Competitive Benchmarking - Briefs on the financials comparison between major players in the market.
Competitive Dashboard - Briefs on competitive dashboard of major players.
Key Mergers And Acquisitions - Information on recent mergers and acquisitions in the market covered in the report. This section gives key financial details of mergers and acquisitions, which have shaped the market in recent years.
Market Opportunities and Strategies Describes market opportunities and strategies based on findings of the research, with information on growth opportunities across countries, segments and strategies to be followed in those markets.
Conclusions And Recommendations-This section includes recommendations for AI in energy providers in terms of product/service offerings geographic expansion, marketing strategies and target groups next five years.
Appendix- This section includes details on the NAICS codes covered, abbreviations and currencies codes used in this report.
Markets Covered:
1) By Offering: Support Services; Hardware; AI-As-A-Service; Software
2) By Application: Demand Response Management; Fleet And Asset Management; Renewable Energy Management; Precision Drilling; Safety And Security; Infrastructure Management; Other Applications
3) By End-User: Energy Transmission; Energy Generation; Energy Distribution; Utilities; Other End Users
4) By Deployment: On-Premise; Cloud
Companies Mentioned: Microsoft Corporation; Amazon.com, Inc.; Oracle Corporation; Schneider Electric SE; Alphabet Inc.
Countries: China; Australia; India; Indonesia; Japan; South Korea; USA; Canada; Brazil; France; Germany; Italy; Spain; UK; Russia
Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa.
Time-series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets; GDP proportions; expenditure per capita; AI in energy indicators comparison.
Data segmentations: country and regional historic and forecast data; market share of competitors; market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
1 Executive Summary
1.1 AI In Energy – Market Attractiveness And Macro economic Landscape
2 Table Of Contents
3 List Of Tables
4 List Of Figures
5 Report Structure
6 Market Characteristics
6.1 General Market Definition
6.2 Summary
6.3 AI In Energy Market Definition And Segmentation
6.4 Market Segmentation By Offering
6.4.1 Support Services
6.4.2 Hardware
6.4.3 AI-As-A-Service
6.4.4 Software
6.5 Market Segmentation By Deployment Mode
6.5.1 On-Premises
6.5.2 Cloud
6.6 Market Segmentation By Application
6.6.1 Demand Response Management
6.6.2 Fleet And Asset Management
6.6.3 Renewable Energy Management
6.6.4 Precision Drilling
6.6.5 Safety And Security
6.6.6 Infrastructure Management
6.6.7 Other Applications
6.7 Market Segmentation By End User
6.7.1 Energy Transmission
6.7.2 Energy Generation
6.7.3 Energy Distribution
6.7.4 Utilities
6.7.5 Other End Users
7 Major Market Trends
7.1 Innovation In AI Energy Management Systems To Address Specific Market Needs
7.2 Introduction Of Generative AI Assistants Using GPT-3.5 Technology
7.3 Development Of AI-Powered Home Assessment Tools
7.4 Innovative AI-Based Software Solutions To Monitor And Optimize Energy
7.5 Strategic Partnerships Approaches To Bolster Energy Solutions
8 AI In Energy Market - Macro Economic Scenario
8.1 COVID-19 Impact On The AI In Energy Market
8.2 Impact Of The War In Ukraine On The AI In Energy Market
8.3 Impact Of High Inflation On The AI In Energy Market
9 Global Market Size and Growth
9.1 Market Size
9.2 Historic Market Growth, 2018 – 2023, Value ($ Million)