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建设产业上巨量资料分析的应用:至2022年的预测

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

出版商 Frost & Sullivan 商品编码 702304
出版日期 内容资讯 英文 80 Pages
商品交期: 最快1-2个工作天内
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建设产业上巨量资料分析的应用:至2022年的预测 Application of Big Data Analytics in Construction Industry, Forecast to 2022
出版日期: 2018年08月30日内容资讯: 英文 80 Pages
简介

本报告提供建设产业上巨量资料分析的相关调查,巨量资料生态系统,巨量资料的转换方法,生产率管理上巨量资料分析,主要企业,无人机的应用,5G与其影响,危险性,及成长机会等相关分析。

第1章 摘要整理

第2章 调查范围、目的、背景、调查手法

第3章 为何是建设产业的巨量资料?

  • 建设产业上巨量资料的需求
  • 事业盈利、永续性
  • 市场、客户
  • 永续性、复苏力
  • 社会、人力资源的需求

第4章 建设产业上巨量资料生态系统概要

第5章 建设产业上巨量资料的转换方法

  • 建设的巨量资料分析的模组
  • 建设产业上巨量资料的转换方法
  • 感测器概要
  • 施工机械用巨量资料应用的感测器类型概要
  • 建设产业上感测器型技术的应用的重要性、其他

第6章 建设产业上巨量资料分析概要:生产率管理

  • 生产率的课题

第7章 建设技术、市场参与企业 (新兴企业)

第8章 建设产业上无人机应用

  • 建设产业上无人机应用
  • 建设产业上无人机应用概要
  • 空中监测
  • 库存/资产监测
  • 安全性、安全
  • 3D绘图
  • 客户支援的改善
  • 有前途的建设用无人机的供应商与其营运

第9章 建设产业上的5G及影响

  • 美国、欧洲的5G部署发展蓝图
  • 影响
  • 建设产业上5G

第10章 建设产业上巨量资料的陷阱

第11章 成长机会分析

  • 成长机会概要
  • 成功、成长的策略性必要事项

第12章 结论

第13章 附录

第14章 FROST & SULLIVAN

目录
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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