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市場調査レポート

エネルギー分野におけるビッグデータ分析の世界市場:成長、動向、および予測(2020年~2025年)

Big Data Analytics in Energy Sector Market - Growth, Trends, and Forecast (2020 - 2025)

発行 Mordor Intelligence LLP 商品コード 866670
出版日 ページ情報 英文 120 Pages
納期: 2-3営業日
価格
本日の銀行送金レート: 1USD=111.33円で換算しております。
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エネルギー分野におけるビッグデータ分析の世界市場:成長、動向、および予測(2020年~2025年) Big Data Analytics in Energy Sector Market - Growth, Trends, and Forecast (2020 - 2025)
出版日: 2020年01月01日 ページ情報: 英文 120 Pages
概要

世界のエネルギー分野におけるビッグデータ分析市場は、2020年から2025年の間に10.22%のCAGRで成長すると予測されています。

当レポートは世界のエネルギー分野におけるビッグデータ分析市場について調査しており、市場機会や動向、成長および阻害要因、用途・地域別の市場分析、競合情勢、主要企業のプロファイル等の情報を提供しています。

目次

第1章 イントロダクション

  • 調査成果
  • 調査の前提条件
  • 調査範囲

第2章 調査方法

第3章 エグゼクティブサマリー

第4章 市場力学

  • 市場概況
  • 成長要因
    • データの膨大な流入
    • 原油価格の変動
  • 阻害要因
    • 熟練労働者の不足
  • 産業の魅力:ポーターのファイブフォース分析
    • サプライヤーの交渉力
    • バイヤー/消費者の交渉力
    • 新規参入の脅威
    • 代替製品の脅威
    • 業界内の競争

第5章 市場セグメンテーション

  • 用途別
    • グリッド操作
    • スマートメータリング
    • 資産・労働力管理
  • 地域別
    • 北米
    • 欧州
    • アジア太平洋地域
    • ラテンアメリカ
    • 中東・アフリカ

第6章 競合情勢

  • 企業プロファイル
    • IBM Corporation
    • Microsoft Corporation
    • SAP SE
    • Dell Inc.
    • Accenture
    • Infosys Limited
    • Intel Corporation
    • Siemens AG

第7章 投資分析

第8章 市場機会および今後の動向

目次
Product Code: 51502

Market Overview

The big data analytics market in energy sector is expected to grow at a CAGR of 10.22%, during the forecast period 2020-2025. Big data analytics in the energy sector plays a crucial role in reducing energy consumption and improving energy efficiency. This factor, along with other associated benefits is expected to propel the demand for analytics in the industry.

  • The scarcity of fossil fuel is giving rise to alternate sources of energy such as solar, wave, and wind turbines, wherein consumption is increasing at a high pace. Thus, it has become imperative to use advanced tools that use big data-based analytical tools to understand the behavior or adaption of these sources of energy.
  • The volatility in oil prices leads to high expenditure in energy-related projects, which creates demand for big data analytics. Additionally, the need for quality information is increasing, owing to the aforementioned factor, which is likely to boost the market growth. The energy sector demands high maintenance for machinery and equipment monitoring, owing to which big data analytics plays an important role.
  • However, the lack of skilled employee with specific domain expertise will hinder the growth of the market.

Scope of the Report

Big Data Analytics helps energy utility sector by optimizing power generation and planning. Power generation planning and economic load dispatch are the two most important decision-making processes in power generation. Economic load dispatch in simple terms is matching power supply with the demand for energy from the grid over a short period of time at the lowest possible cost subject to transmission and distribution constraints. Matching energy supply and demand on the network has always been a tight balancing act, and data analytics has a significant role to play by taking advantage of collected energy data and advanced big data analytics techniques.

Key Market Trends

Smart Metering to Fuel Market Growth

  • The smart metering in big data analytics involves components such as grid operations, field services, resource planning, customer experience, and regulatory compliances. It helps to predict demand and forecast based on the data collected, that will boost the market growth.
  • Furthermore, big data analytics in smart metering helps in forecasting energy consumption, which plays a vital role in the management of demand and supply which also mitigates the waste of energy.
  • For instance, Siemens introduced incorporation of big data analytics with smart meters to achieve deeper insights from the smart grid which in turn offers data to mitigate extra energy consumption and increases profit margins.
  • Developing countries such as India, Brazil, etc. are hugely investing in the energy sector, that will boost the smart metering with advanced big data techniques in recent years.

Asia-Pacific to be the Fastest Growing Market

  • Increasing adoption of IoT and smart technologies and various government initiatives such as smart cities across APAC countries, including China and India vouch for APAC to be the fastest-growing region in the big data analytics in energy sector market.
  • For instance, India has deployed 200,000 smart meters in 11 cities in 208 and will install 1500,000 more in 2019. It will use technology such as RF Mesh, GPRS, PLC and 6 LoWPAN. EESL aims to replace 25 crore conventional meters with smart meters in India through Smart Meters National Programme (SMNP) as this would help in reducing AT&C losses.
  • In the APAC region, China will be the leading country in big data analytics in the energy utility sector due to its large population and increasing rate of adaptation of smart metering, smart grid systems across the country.

Competitive Landscape

The big data analytics in energy sector market is consolidated. Major players have maximum market share. Also due to lack of skilled workforce with analytical skill and expertise and rising privacy concerns & data breaches, new players are finding difficult to enter in the market. Moreover, high initial capital investment is also restricting new players to enter the market. Some of the key players include IBM Corporation, SAP SE, Microsoft Corporation, Dell Inc., Accenture, Siemens AG, among others.

  • May 2019 - Siemens and Chronicle, an Alphabet company, pertnered to protect the energy industry's critical infrastructure from increasingly sophisticated and malicious industrial cyber threats at Spotlight on Innovation, Siemens flagship U.S. technology and innovation conference. Through a unified approach that will leverage Chronicle's Backstory platform and Siemens' strength in industrial cybersecurity, the combined offering gives energy customers unparalleled visibility across the information technology (IT) and operational technology (OT) to provide operational insights and confidentially act on threats.

Reasons to Purchase this report:

  • The market estimate (ME) sheet in Excel format
  • Report customization as per the client's requirements
  • 3 months of analyst support

Table of Contents

1 INTRODUCTION

  • 1.1 Study Deliverables
  • 1.2 Study Assumptions
  • 1.3 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET DYNAMICS

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Enormous Influx of Data
    • 4.2.2 Volatility in the Oil Prices
  • 4.3 Market Restraints
    • 4.3.1 Lack of Skilled Labor
  • 4.4 Industry Attractiveness - Porter's Five Force Analysis
    • 4.4.1 Bargaining Power of Suppliers
    • 4.4.2 Bargaining Power of Buyers/Consumers
    • 4.4.3 Threat of New Entrants
    • 4.4.4 Threat of Substitute Products
    • 4.4.5 Intensity of Competitive Rivalry

5 MARKET SEGMENTATION

  • 5.1 By Application
    • 5.1.1 Grid Operations
    • 5.1.2 Smart Metering
    • 5.1.3 Asset & Workforce Management
  • 5.2 Geography
    • 5.2.1 North America
    • 5.2.2 Europe
    • 5.2.3 Asia-Pacific
    • 5.2.4 Latin America
    • 5.2.5 Middle East & Africa

6 COMPETITIVE LANDSCAPE

  • 6.1 Company Profiles
    • 6.1.1 IBM Corporation
    • 6.1.2 Microsoft Corporation
    • 6.1.3 SAP SE
    • 6.1.4 Dell Inc.
    • 6.1.5 Accenture
    • 6.1.6 Infosys Limited
    • 6.1.7 Intel Corporation
    • 6.1.8 Siemens AG

7 INVESTMENT ANALYSIS

8 MARKET OPPORTUNITIES AND FUTURE TRENDS

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