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건설 산업에서의 빅데이터 분석 애플리케이션 : 예측(-2022년)

Application of Big Data Analytics in Construction Industry, Forecast to 2022

리서치사 Frost & Sullivan
발행일 2018년 08월 상품 코드 702304
페이지 정보 영문 80 Pages
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건설 산업에서의 빅데이터 분석 애플리케이션 : 예측(-2022년) Application of Big Data Analytics in Construction Industry, Forecast to 2022
발행일 : 2018년 08월 페이지 정보 : 영문 80 Pages

건설 산업에서의 빅데이터 분석(Big Data Analytics)에 대해 조사했으며, 빅데이터 에코시스템, 빅데이터 전환 방법, 생산성 관리에서의 빅데이터 분석, 주요 기업, 드론 응용, 5G와 영향, 위험성, 성장 기회 등의 정보를 정리하여 전해드립니다.

제1장 주요 요약

제2장 조사 범위, 목적, 배경, 조사 방법

제3장 왜 건설 산업용 빅데이터인가?

  • 건설 산업에서의 빅데이터 요구
  • 사업 수익성과 지속가능성
  • 시장과 고객
  • 지속가능성과 회복력
  • 사회와 노동력 요구

제4장 건설 산업에서의 빅데이터 에코시스템 개요

제5장 건설 산업에서의 빅데이터 전환 방법

  • 건설에서의 빅데이터 분석 모듈
  • 건설 산업에서의 빅데이터 전환 방법
  • 센서 개요
  • 건설기계용 빅데이터 애플리케이션에서의 센서 타입 개요
  • 건설 산업에서의 센서형 기술 애플리케이션의 중요성, 기타

제6장 건설 산업 빅데이터 분석 개요 : 생산성 관리

  • 생산성 문제

제7장 건설 기술과 시장 진출기업(스타트업)

제8장 건설 산업에서의 드론 응용

  • 건설 산업에서의 드론 응용
  • 건설 산업에서의 드론 응용 개요
  • 공중 모니터링
  • 재고/자산 모니터링
  • 안전성 및 보안
  • 3D 지도 제작
  • 고객 대응 개선
  • 유망한 건설용 드론 벤더와 오퍼레이션

제9장 건설 산업에서의 5G와 영향

  • 미국 및 유럽에서의 5G 전개 로드맵
  • 영향
  • 건설 산업에서의 5G

제10장 건설 산업의 빅데이터 책략

제11장 성장 기회 분석

  • 성장 기회 개요
  • 성공 및 성장을 위한 전략적 필수사항

제12장 결론

제13장 부록

제14장 FROST & SULLIVAN에 대해

LSH 18.09.28

With Big Data Coming Into Picture Construction Industry is Expected to Witnesses Transformational Growth

Big Data solutions are emerging across the construction industry, driven by increased connectivity and Internet usage, the rapid proliferation of connected vehicles, and the continued investment in Big Data analytics innovations. However, the threat of data privacy and security continues to challenge potential adoption as businesses are still struggling to pinpoint how best to monetize these solutions. Some of the key challenges include a lack of reliable data sources, concerns about data security and individual privacy, and a lack of specific Big Data-related skills.

With the progress in technology, construction and engineering companies are generating and also capturing more data than ever before. Data collection techniques have also evolved very rapidly. Presently, smartphones, drones, wearables, jobsite sensors, telematics, and GPS systems on heavy equipment and other mobile solutions are the preferred gadgets for data collection. All of this extra data being captured and recorded can become overwhelming as companies try and find ways to structure and analyze this data in order to make actionable decisions to improve their bottom line.

With the advancements in artificial intelligence and machine learning technology in the construction industry, companies will be able to use a combination of internal and external data sets to predict future outcomes on projects. Data analytics will help firms determine the most profitable projects to pursue and how to manage them efficiently. This in turn will enhance the productivity by shortening construction times, lowering costs, and reducing risks.

5G connectivity has taken a huge step in the construction industry. Machine-to-machine communication will be among the key focus areas. Many market leaders have already started to explore the 5G opportunity in the construction industry. Volvo Construction Equipment will be the first in the world to trial 5G mobile technology collaborating with mobile operator Telia Company. This report further gives a brief overview of 5G technology and its implication for the construction industry.

Research Highlights:

The research study discusses the following topics:

  • Overview of Big Data Ecosystem in the Construction Industry
  • How Big Data Can Transform the Construction Industry
  • Overview of Big Data Analytics in Construction Industry Productivity Management
  • Construction Tech and Market Players (Start-ups)
  • Drone Application in the Construction Industry
  • 5G in Construction Industry and its Implications
  • Pitfalls of Big Data in the Construction Industry

Key Features:

The objective for the study is to present the current scenario and future insights into the Big Data market in the construction industry for global geographies. The study gives an overview of the Big Data Analytics market, exposing its restraints also a section with the start-ups disrupting the construction industry with Big Data.

Table of Contents

1. KEY FINDINGS

  • Key Findings
  • Key Findings (continued)

2. RESEARCH SCOPE, OBJECTIVES, BACKGROUND, AND METHODOLOGY

  • Research Scope
  • Key Questions this Study will Answer
  • Key Topics Covered in this Study
  • Research Methodology

3. WHY BIG DATA FOR CONSTRUCTION INDUSTRY?

  • Need for Big Data in Construction Industry
  • Business Profitability and Sustainability
  • Markets and Customers
  • Sustainability and Resilience
  • Need for Society and Workforce

4. OVERVIEW OF THE BIG DATA ECOSYSTEM IN THE CONSTRUCTION INDUSTRY

  • Big Data Ecosystem in Construction Industry-Overview

5. HOW BIG DATA CAN TRANSFORM THE CONSTRUCTION INDUSTRY

  • Modules of Big Data Analytics in Construction
  • How Big Data Can Transform the Construction Industry-Big Data Can Help Track And Manage Projects
  • How Big Data Can Transform the Construction Industry-Big Data for Better Budgeting and Planning and the Use of Sensor Technology
  • Overview of Sensors-Based Technology in Big Data Application for Construction Equipment
  • Overview of Sensor Types in Big Data Application for Construction Equipment
  • Application Significance of Sensor-Based Technology in Construction Industry
  • Application Significance of Sensor-Based Technology in Construction Industry (continued)
  • How Big Data Can Transform the Construction Industry by Improved Decision-Making
  • How Big Data Can Transform the Construction Industry
  • Machine Monitoring and Tracking Mechanism
  • How Big Data Can Transform the Construction Industry

6. OVERVIEW OF BIG DATA ANALYTICS IN CONSTRUCTION INDUSTRY-PRODUCTIVITY MANAGEMENT

  • Construction Industry-Productivity Challenges
  • Construction Industry-Productivity Challenges (continued)
  • Construction Industry-Productivity Challenges (continued)
  • Construction Industry-Productivity Challenges (continued)
  • Construction Industry-Productivity Challenges (continued)

7. CONSTRUCTION TECH AND MARKET PLAYERS (START-UPS)

  • Construction Tech and Market Players-Start-ups
  • Construction Tech and Market Players-Start-ups (continued)
  • Construction Tech and Market Players-Start-ups (continued)
  • Construction Tech and Market Players-Start-ups (continued)
  • Construction Tech and Market Players-Start-ups (continued)

8. DRONE APPLICATION IN THE CONSTRUCTION INDUSTRY

  • Drone Application in the Construction Industry
  • Overview of Drones Application in Construction Industry
  • Aerial Monitoring
  • Stockpile/Asset Monitoring
  • Safety and Security
  • 3D Mapping
  • Improving Client Relationships
  • Prominent Construction Drone Vendors and their Operations

9. 5G IN CONSTRUCTION INDUSTRY AND IMPLICATIONS

  • 5G Rollout in US and Europe-Roadmap
  • Implications
  • 5G in Construction Industry

10. PITFALLS OF BIG DATA IN THE CONSTRUCTION INDUSTRY

  • Pitfalls of Big Data in the Construction Industry
  • Pitfalls of Big Data in the Construction Industry (continued)

11. GROWTH OPPORTUNITY ANALYSIS

  • Growth Opportunity Overview
  • Growth Opportunity Overview (continued)
  • Strategic Imperatives for Success and Growth

12. CONCLUSION

  • The Last Word
  • Legal Disclaimer

13. APPENDIX

  • List of Acronyms
  • List of Exhibits
  • List of Exhibits (continued)

14. THE FROST & SULLIVAN STORY

  • The Frost & Sullivan Story
  • Value Proposition-Future of Your Company & Career
  • Global Perspective
  • Industry Convergence
  • 360° Research Perspective
  • Implementation Excellence
  • Our Blue Ocean Strategy
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