Global Information
회사소개 | 문의 | 비교리스트

에너지 분야용 빅데이터 분석 시장 : 성장, 동향, 예측(2020-2025년)

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

리서치사 Mordor Intelligence LLP
발행일 2020년 01월 상품 코드 866670
페이지 정보 영문
가격
US $ 4,250 ₩ 5,084,000 PDF by E-mail (Single User License)
US $ 4,750 ₩ 5,682,000 PDF by E-mail (Team License: Up to 7 Users)
US $ 6,000 ₩ 7,178,000 PDF by E-mail (Site License)
US $ 7,500 ₩ 8,973,000 PDF by E-mail (Corporate License)


에너지 분야용 빅데이터 분석 시장 : 성장, 동향, 예측(2020-2025년) Big Data Analytics in Energy Sector Market - Growth, Trends, and Forecast (2020 - 2025)
발행일 : 2020년 01월 페이지 정보 : 영문

세계의 에너지 분야용 빅데이터 분석(Big Data Analytics in Energy Sector) 시장에 대해 조사했으며, 시장 기회 및 동향, 성장 촉진요인 및 저해요인, 용도·지역별 시장 분석, 경쟁 상황, 주요 기업 개요 등의 정보를 제공합니다.

목차

제1장 서론

  • 조사 결과
  • 조사 가정
  • 조사 범위

제2장 조사 방법

제3장 개요

제4장 시장 역학

  • 시장 개요
  • 성장 촉진요인
    • 데이터의 방대한 유입
    • 원유 가격의 변동
  • 성장 저해요인
    • 숙련 노동자의 부족
  • 산업의 매력 : Porter's Five Forces 분석
    • 공급업체의 협상력
    • 구매자/소비자의 협상력
    • 신규 참여업체의 위협
    • 대체품의 위협
    • 업계 내의 경쟁

제5장 시장 세분화

  • 용도별
    • 그리드 조작
    • 스마트 미터링
    • 자산 및 인력 관리
  • 지역별
    • 북미
    • 유럽
    • 아시아태평양
    • 라틴아메리카
    • 중동 및 아프리카

제6장 경쟁 상황

  • 기업 개요
    • IBM Corporation
    • Microsoft Corporation
    • SAP SE
    • Dell Inc.
    • Accenture
    • Infosys Limited
    • Intel Corporation
    • Siemens AG

제7장 투자 분석

제8장 시장 기회 및 향후 동향

KSM 20.01.09

이 페이지에 게재되어 있는 내용은 최신판과 약간 차이가 있을 수 있으므로 영문목차를 함께 참조하여 주시기 바랍니다. 기타 자세한 사항은 문의 바랍니다.

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

Back to Top
전화 문의
F A Q