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Press release content from Business Wire. The AP news staff was not involved in its creation.

Global AI in Energy Market Expected to Generate a Value of $7.78 Billion by 2024 - ResearchAndMarkets.com

January 16, 2020 GMT

DUBLIN--(BUSINESS WIRE)--Jan 16, 2020--

The “Global Artificial Intelligence in Energy Market: Focus on Product Type, Industry, Applications, Funding - Analysis and Forecast, 2019-2024” report has been added to ResearchAndMarkets.com’s offering.

Key Questions Answered in this Report:

Global Artificial Intelligence (AI) in Energy Market Forecast, 2019-2024

The Global Artificial Intelligence (AI) in Energy Industry Analysis projects the market to grow at a significant CAGR of 22.49% during the forecast period from 2019 to 2024.

The increasing demand for energy efficiency across the globe has propelled the need for artificial intelligence in energy. Moreover, there is an increased concern for decentralized power generators in the electricity distribution supply chain to reduce the electricity demand. The growth of the market is likely to be encouraged by the rise of battery storage system, leading to congestion and complexity within the grid.

Scope of the Global Artificial Intelligence (AI) in Energy Market

The global artificial intelligence in energy market research provides a detailed perspective regarding the product offerings, applications, value, and estimation, among others. The purpose of this market analysis is to examine the artificial intelligence in energy in terms of factors driving the market, trends, technological developments, and funding scenario, among others.

Market Segmentation

The global artificial intelligence in energy market comprises oil & gas and power industries. The oil & gas industry has been further segmented into upstream, midstream, and downstream. Similarly, for power industry, generation, transmission, and distribution are the three sectors across the supply chain. Upstream segment in the oil & gas industry and distribution segment in the power industry accounted for the largest share in the market as a result of the increasing necessity for efficient oil & gas exploration and growing demand for continuous supply of electricity. However, during the forecast period, the generation segment in the power industry is expected to display the highest growth, owing to the increasing focus toward decentralized power generation.

The emerging trends of the AI in energy market vary across different regions. In 2018, North America was at the forefront of the market, with huge market concentration in the U.S. During the forecast period, the Asia-Pacific region is expected to flourish as one of the most lucrative markets for AI in energy. Rising demand for decentralized power generation drive the growth of global AI in energy market.

Key Topics Covered:

Executive Summary

1 Market Dynamics

1.1 Market Drivers

1.2 Market Restraints

1.3 Market Opportunities

2 Competitive Landscape

2.1 Key Market Developments and Strategies

2.2 Competitive Benchmarking of IT Solution Providers in AI in Energy Market

3 Industry Analysis

3.1 Artificial Intelligence in Energy: Market Ecosystem

3.2 Artificial Intelligence in Energy: Technology Ecosystem

3.3 Investment and Funding Landscape

3.4 Key Consortiums and Associations

4 Global Artificial Intelligence (AI) in Energy Market (by Industry Stream)

4.1 Market Overview

4.2 Oil & Gas Industry

4.3 Power Industry

5 Global Artificial Intelligence (AI) in Energy Market (by Product Offering)

5.1 Market Overview

5.2 Software

5.3 Hardware

5.4 AI-as-a-Service

5.5 Support Services

6 Global Artificial Intelligence (AI) in Energy Market (by Application)

6.1 Market Overview

6.2 Oil & Gas Applications

6.3 Power Applications

7 Global Artificial Intelligence (AI) in Energy Market (by Region)

7.1 North America

7.2 Europe

7.3 Asia-Pacific

7.4 Rest-of-the-World (RoW)

8 Company Profiles

8.1 Overview

8.2 Accenture PLC

8.3 Amazon Web Services, Inc.

8.4 AutoGrid Systems, Inc

8.5 Cisco Systems Inc.

8.6 C3 IoT, Inc.

8.7 General Electric

8.8 HCL Technologies Ltd.

8.9 Huawei Technologies Co., Ltd.

8.10 International Business Machines Corporation (IBM)

8.11 Intel Corporation

8.12 Kellton Tech Solutions Ltd.

8.13 Microsoft Corporation

8.14 Oracle Corporation

8.15 Rockwell Automation Inc.

8.16 SAP SE

8.17 Wipro Limited

8.18 ABB Ltd.

8.19 Actility S.A.

8.20 Enel X North America, Inc.

8.21 Equinor ASA

8.22 Ingersoll Rand Plc

8.23 Royal Dutch Shell PLC

8.24 Siemens AG

8.25 Schneider Electric

8.26 Schlumberger Limited

8.27 Tokyo Electric Power Company

9 Report Scope and Methodology

9.1 Report Scope

9.2 Market Research Methodology

9.2.1 Assumptions

9.2.2 Limitations

9.2.3 Primary Data Sources

9.2.4 Secondary Data Sources

9.2.5 Data Triangulation

9.2.6 Market Estimation and Forecast

For more information about this report visit https://www.researchandmarkets.com/r/6yyypd

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