Europe AI In Energy Market Size, Share & Trends Analysis Report By Type (Solutions and Services), By Application, By Country and Growth Forecast, 2024 - 2031

Europe AI In Energy Market Size, Share & Trends Analysis Report By Type (Solutions and Services), By Application, By Country and Growth Forecast, 2024 - 2031


The Europe AI In Energy Market would witness market growth of 29.0% CAGR during the forecast period (2024-2031).

The Germany market dominated the Europe AI In Energy Market by Country in 2023, and would continue to be a dominant market till 2031; thereby, achieving a market value of $4,093.7 million by 2031. The UK market is exhibiting a CAGR of 27.9% during (2024 - 2031). Additionally, The France market would experience a CAGR of 30.2% during (2024 - 2031).

Equipment reliability is paramount in the energy sector. AI-driven predictive maintenance solutions use machine learning algorithms to analyze equipment performance data and predict potential failures before they occur. By identifying issues early, energy companies can minimize unplanned downtime, reduce maintenance costs, and extend the lifespan of critical assets.

Additionally, this proactive approach is particularly beneficial in renewable energy systems, where maintenance can be challenging and costly. The adoption of AI in the energy sector has accelerated in recent years, driven by the increasing availability of data, advancements in computing power, and a growing emphasis on sustainability.

The growth of the AI in energy market in Europe is closely linked to rising electricity production and shifting consumption patterns across various sectors. In 2021, gross electricity production in the EU increased by 4.4% compared to 2020, reaching 2,907 TWh, according to Eurostat. This surge, largely driven by renewable energy sources surpassing traditional fuels like natural gas, coal, and nuclear, creates a greater need for AI-driven technologies. AI is being utilized to optimize the integration of renewables, manage grid stability, and ensure efficient distribution as renewable sources like wind and solar bring variability to energy supply across Europe.

Based on Type, the market is segmented into Solutions and Services. Based on Application, the market is segmented into Renewable Energy Management, Demand Forecasting, Robotics, Safety Security & Infrastructure, and Other Application. Based on countries, the market is segmented into Germany, UK, France, Russia, Spain, Italy, and Rest of Europe.

List of Key Companies Profiled
  • Siemens AG
  • ABB Group
  • Schneider Electric SE
  • GE Vernova Group
  • Hitachi, Ltd
  • Honeywell International Inc.
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • Google LLC
  • Microsoft Corporation
  • AutoGrid Systems, Inc.
Europe AI In Energy Market Report Segmentation

By Type
  • Solutions
  • Services
By Application
  • Renewable Energy Management
  • Demand Forecasting
  • Robotics
  • Safety Security & Infrastructure
  • Other Application
By Country
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe


Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Europe AI In Energy Market, by Type
1.4.2 Europe AI In Energy Market, by Application
1.4.3 Europe AI In Energy Market, by Country
1.5 Methodology for the research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scenario
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
3.2.3 Market Opportunities
3.2.4 Market Challenges
Chapter 4. Competition Analysis - Global
4.1 KBV Cardinal Matrix
4.2 Recent Industry Wide Strategic Developments
4.2.1 Partnerships, Collaborations and Agreements
4.2.2 Product Launches and Product Expansions
4.2.3 Acquisition and Mergers
4.3 Market Share Analysis, 2023
4.4 Top Winning Strategies
4.4.1 Key Leading Strategies: Percentage Distribution (2020-2024)
4.4.2 Key Strategic Move: (Partnerships, Collaborations and Agreements: 2023, Jul – 2024, Oct) Leading Players
4.5 Porter Five Forces Analysis
Chapter 5. Europe AI In Energy Market by Type
5.1 Europe Solutions Market by Country
5.2 Europe Services Market by Country
Chapter 6. Europe AI In Energy Market by Application
6.1 Europe Renewable Energy Management Market by Country
6.2 Europe Demand Forecasting Market by Country
6.3 Europe Robotics Market by Country
6.4 Europe Safety Security & Infrastructure Market by Country
6.5 Europe Other Application Market by Country
Chapter 7. Europe AI In Energy Market by Country
7.1 Germany AI In Energy Market
7.1.1 Germany AI In Energy Market by Type
7.1.2 Germany AI In Energy Market by Application
7.2 UK AI In Energy Market
7.2.1 UK AI In Energy Market by Type
7.2.2 UK AI In Energy Market by Application
7.3 France AI In Energy Market
7.3.1 France AI In Energy Market by Type
7.3.2 France AI In Energy Market by Application
7.4 Russia AI In Energy Market
7.4.1 Russia AI In Energy Market by Type
7.4.2 Russia AI In Energy Market by Application
7.5 Spain AI In Energy Market
7.5.1 Spain AI In Energy Market by Type
7.5.2 Spain AI In Energy Market by Application
7.6 Italy AI In Energy Market
7.6.1 Italy AI In Energy Market by Type
7.6.2 Italy AI In Energy Market by Application
7.7 Rest of Europe AI In Energy Market
7.7.1 Rest of Europe AI In Energy Market by Type
7.7.2 Rest of Europe AI In Energy Market by Application
Chapter 8. Company Profiles
8.1 Siemens AG
8.1.1 Company Overview
8.1.2 Financial Analysis
8.1.3 Segmental and Regional Analysis
8.1.4 Research & Development Expense
8.1.5 Recent strategies and developments:
8.1.5.1 Partnerships, Collaborations, and Agreements:
8.1.5.2 Product Launches and Product Expansions:
8.1.5.3 Acquisition and Mergers:
8.1.6 SWOT Analysis
8.2 ABB Group
8.2.1 Company Overview
8.2.2 Financial Analysis
8.2.3 Segmental and Regional Analysis
8.2.4 Research & Development Expense
8.2.5 Recent strategies and developments:
8.2.5.1 Partnerships, Collaborations, and Agreements:
8.2.6 SWOT Analysis
8.3 Schneider Electric SE
8.3.1 Company Overview
8.3.2 Financial Analysis
8.3.3 Segmental and Regional Analysis
8.3.4 Research & Development Expense
8.3.5 Recent strategies and developments:
8.3.5.1 Partnerships, Collaborations, and Agreements:
8.3.5.2 Product Launches and Product Expansions:
8.3.6 SWOT Analysis
8.4 GE Vernova Group
8.4.1 Company Overview
8.4.2 Recent strategies and developments:
8.4.2.1 Acquisition and Mergers:
8.4.3 SWOT Analysis
8.5 Hitachi, Ltd.
8.5.1 Company Overview
8.5.2 Financial Analysis
8.5.3 Segmental and Regional Analysis
8.5.4 Research & Development Expenses
8.5.5 Recent strategies and developments:
8.5.5.1 Partnerships, Collaborations, and Agreements:
8.5.5.2 Product Launches and Product Expansions:
8.5.6 SWOT Analysis
8.6 Honeywell International, Inc.
8.6.1 Company Overview
8.6.2 Financial Analysis
8.6.3 Segmental and Regional Analysis
8.6.4 Research & Development Expenses
8.6.5 Recent strategies and developments:
8.6.5.1 Partnerships, Collaborations, and Agreements:
8.6.5.2 Product Launches and Product Expansions:
8.6.6 SWOT Analysis
8.7 Amazon Web Services, Inc. (Amazon.com, Inc.)
8.7.1 Company Overview
8.7.2 Financial Analysis
8.7.3 Segmental Analysis
8.7.4 Recent strategies and developments:
8.7.4.1 Partnerships, Collaborations, and Agreements:
8.7.5 SWOT Analysis
8.8 Google LLC
8.8.1 Company Overview
8.8.2 Financial Analysis
8.8.3 Segmental and Regional Analysis
8.8.4 Research & Development Expense
8.8.5 Recent strategies and developments:
8.8.5.1 Partnerships, Collaborations, and Agreements:
8.8.6 SWOT Analysis
8.9 Microsoft Corporation
8.9.1 Company Overview
8.9.2 Financial Analysis
8.9.3 Segmental and Regional Analysis
8.9.4 Research & Development Expenses
8.9.5 Recent strategies and developments:
8.9.5.1 Partnerships, Collaborations, and Agreements:
8.9.5.2 Acquisition and Mergers:
8.9.6 SWOT Analysis
8.10. AutoGrid Systems, Inc.
8.10.1 Company Overview

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