Artificial Intelligence in Energy market for the forecast period, 2021 - 2028 is involved in screening the business environment and the companies operating in the Artificial Intelligence in Energy industry

Vancouver, BC -- (SBWire) -- 05/07/2021 --The detailed market intelligence report on the Artificial Intelligence in energy market applies the best of both primary and secondary research to weighs upon the competitive landscape and the prominent market players expected to dominate the Artificial Intelligence in energy market for the forecast period, 2021 - 2028. The study not only scans through the company profile of the major vendors but also analyses their winning strategies to give business owners, stakeholders and field marketing personnel a competitive edge over others operating in the same space

The global Artificial Intelligence in energy market is expected to reach a market size of USD 20.83 Billion at a steady CAGR of 23.6% in 2028, according to latest analysis by Emergen Research. This steady revenue growth can be attributed to increasing need to obtain operational efficiency to meet energy requirements. Digitalization of the energy sector is contributing to increasing demand for Artificial Intelligence in energy systems.

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Key Highlights of Report

The renewable energy management segment accounted for a significantly high revenue share in the Artificial Intelligence in energy market in 2020. Increasing need for low carbon emissions is expected to drive rising utilization of AI for renewable energy management during the forecast period.

North America accounted for largest revenue share contribution to the global Artificial Intelligence in energy market in 2020. Increasing adoption of Artificial Intelligence-based smart meters and smart home solutions is contributing to growing demand for AI in the energy sector in countries in the region.

Key players in the market include Accenture PLC, Amazon Web Services, Inc., AutoGrid Systems, Inc, Cisco Systems Inc., C3 IoT, Inc., General Electric, HCL Technologies Ltd., Huawei Technologies Co., Ltd., IBM Corporation, and Intel Corporation.

The report is a comprehensive research study of the global Artificial Intelligence in Energy market inclusive of the latest trends, growth factors, developments, opportunities, and competitive landscape.

The research study includes an in-depth analysis of the market using advanced research methodologies such as SWOT analysis and Porter's Five Forces analysis. The report is formulated with data gathered from primary and secondary research examined and validated by industry experts. The report provides an overview of the market leaders, segmentation by type, application, and region, and technological advancements.

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Emergen Research has segmented the global Artificial Intelligence in energy market on the basis of product offering, industry stream, application, and region:

Product offering Outlook (Revenue, USD Billion; 2021–2028)
Support Services
Hardware
AI-as-a-Service
Software

Industry stream Outlook (Revenue, USD Billion; 2021–2028)
Power Industry (Generation, Transmission, Distribution)
Oil & Gas Industry (Upstream, Midstream, Downstream)

Application Outlook (Revenue, USD Billion; 2021–2028)
Demand Response Management
Fleet & asset Management
Renewable Energy Management
Precision Drilling
Demand forecasting
Infrastructure Management
Others

Detailed Regional Analysis covers:

North America (U.S., Canada)
Europe (U.K., Italy, Germany, France, Rest of EU)
Asia-Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)
Latin America (Chile, Brazil, Argentina, Rest of Latin America)
Middle East & Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)

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The report demonstrates the progress and advancement achieved by the global Artificial Intelligence in Energy market, including the historical analysis and progress through forecast years. The report provides valuable insights to the stakeholders, investors, product managers, marketing executives, and other industry professionals. The report provides an accurate estimation by applying SWOT analysis and Porter's Five Forces analysis.

Key Benefits of Buying the Global Artificial Intelligence in Energy Report:

Comprehensive analysis of the changing competitive landscape
Assists in decision making processes for the businesses along with detailed strategic planning methodologies
The report offers an 8-year forecast and assessment of the Global Artificial Intelligence in Energy Market
Helps in understanding the key product segments and their estimated growth rate
In-depth analysis of market drivers, restraints, trends, and opportunities
Comprehensive regional analysis of the Global Artificial Intelligence in Energy Market
Extensive profiling of the key stakeholders of the business sphere
Detailed analysis of the factors influencing the growth of the Global Artificial Intelligence in Energy Market

Table of Content

Chapter 1. Methodology & Sources

    1.1. Market Definition

    1.2. Research Scope 

    1.3. Methodology

    1.4. Research Sources

          1.4.1. Primary

          1.4.2. Secondary

          1.4.3. Paid Sources

    1.5. Market Estimation Technique

Chapter 2. Executive Summary

    2.1. Summary Snapshot, 2020-2028

Chapter 3. Key Insights

Chapter 4. Artificial Intelligence in Energy Market Segmentation & Impact Analysis

    4.1. Artificial Intelligence in Energy Market Material Segmentation Analysis

    4.2. Industrial Outlook

          4.2.1. Market indicators analysis

          4.2.2. Market drivers analysis

                    4.2.2.1. Demand for increased operational efficiency

                    4.2.2.2. Rising concern for energy efficiency

                    4.2.2.3. Rising concerns for battery storage systems

                    4.2.2.4. Increase in demand for decentralized power generation

          4.2.3. Market restraints analysis

                    4.2.3.1. High cost of deployment

                    4.2.3.2. Security and privacy risk 

    4.3. Technological Insights

    4.4. Regulatory Framework

    4.5. Porter's Five Forces Analysis

    4.6. Competitive Metric Space Analysis

    4.7. Price trend Analysis

    4.8. Covid-19 Impact Analysis

Chapter 5. Artificial Intelligence in Energy Market By Product offering Insights & Trends, Revenue (USD Billion)

    5.1. Product offering Dynamics & Market Share, 2020 & 2028

          5.1.1. Support Services

          5.1.2. Hardware

          5.1.3. AI-as-a-Service

          5.1.4. Software

Chapter 6. Artificial Intelligence in Energy Market By Industry Stream Insights & Trends Revenue (USD Billion)

    6.1. Industry Stream Dynamics & Market Share, 2020 & 2028

          6.1.1. Power Industry (Generation, Transmission, Distribution)

          6.1.2. Oil & Gas Industry (Upstream, Midstream, Downstream)    

Chapter 7. Artificial Intelligence in Energy Market By Application Insights & Trends, Revenue (USD Billion)

    7.1. Application Dynamics & Market Share, 2020 & 2028

          7.1.1. Demand Response Management

          7.1.2. Fleet & asset Management

          7.1.3. Renewable Energy Management

          7.1.4. Precision Drilling

          7.1.5. Demand forecasting

          7.1.6. Infrastructure Management

          7.1.7. Others

CONTINUED…!

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