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建設産業におけるビッグデータ分析のアプリケーション:2022年までの予測

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

発行 Frost & Sullivan 商品コード 702304
出版日 ページ情報 英文 80 Pages
納期: 即日から翌営業日
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本日の銀行送金レート: 1USD=113.36円で換算しております。
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建設産業におけるビッグデータ分析のアプリケーション:2022年までの予測 Application of Big Data Analytics in Construction Industry, Forecast to 2022
出版日: 2018年08月30日 ページ情報: 英文 80 Pages
概要

当レポートでは、建設産業におけるビッグデータ分析について調査し、ビッグデータエコシステム、ビッグデータの転換方法、生産性管理におけるビッグデータ分析、主な企業、ドローンへの応用、5Gとその影響、危険性、および成長機会などについて分析しています。

第1章 エグゼクティブサマリー

第2章 調査範囲・目的・背景・調査手法

第3章 なぜ建設産業むけビッグデータなのか?

  • 建設産業におけるビッグデータのニーズ
  • 事業収益性・持続可能性
  • 市場・顧客
  • 持続可能性・回復力
  • 社会・労働力のニーズ

第4章 建設産業におけるビッグデータエコシステムの概要

第5章 建設産業におけるビッグデータの転換方法

  • 建設におけるビッグデータ分析のモジュール
  • 建設産業におけるビッグデータの転換方法
  • センサーの概要
  • 建設機械向けビッグデータアプリケーションにおけるセンサータイプの概要
  • 建設産業におけるセンサー型技術のアプリケーションの重要性、ほか

第6章 建設産業におけるビッグデータ分析の概要:生産性管理

  • 生産性の課題

第7章 建設技術・市場参入企業 (新興企業)

第8章 建設産業におけるドローンアプリケーション

  • 建設産業におけるドローンアプリケーション
  • 建設産業におけるドローンアプリケーションの概要
  • 空中モニタリング
  • 在庫/資産モニタリング
  • 安全性・セキュリティ
  • 3Dマッピング
  • 顧客対応の改善
  • 有望な建設用ドローンのベンダーとそのオペレーション

第9章 建設産業における5Gおよび影響

  • 米国・欧州における5G展開のロードマップ
  • 影響
  • 建設産業における5G

第10章 建設産業におけるビッグデータの落とし穴

第11章 成長機会の分析

  • 成長機会の概要
  • 成功・成長の戦略的インペラティブ

第12章 結論

第13章 付録

第14章 FROST & SULLIVAN について

目次
Product Code: PA0E-18

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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