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

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

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

RELEASE DATE
30-Aug-2018
REGION
Asia Pacific
Research Code: PA0E-01-00-00-00
SKU: AU01707-AP-MR_22264

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Description

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.


RESEARCH: INFOGRAPHIC

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Table of Contents

Key Findings

Research Scope

Key Topics Covered in this Study

Research Methodology

Need for Big Data in Construction Industry

Business Profitability and Sustainability

Markets and Customers

Sustainability and Resilience

Need for Society and Workforce

Big Data Ecosystem in Construction Industry—Overview

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

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

Construction Tech and Market Players—Start-ups

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

5G Rollout in US and Europe—Roadmap

Implications

5G in Construction Industry

Pitfalls of Big Data in the Construction Industry

Growth Opportunity Overview

Strategic Imperatives for Success and Growth

The Last Word

Legal Disclaimer

List of Acronyms

List of Exhibits

List of Figures
  • 1. Application of Big Data Analytics in Construction Industry: Pitfalls of Big Data , Global, 2017–2022
List of Charts
  • 1. Application of Big Data Analytics in Construction Industry: Need for Big Data in Construction Industry, Global, 2017–2022
  • 2. Application of Big Data Analytics in Construction Industry: Big Data Ecosystem, Global, 2017–2022
  • 3. Application of Big Data Analytics in Construction Industry: Modules of Big Data Analytics in Construction, Global, 2017–2022
  • 4. Application of Big Data Analytics in Construction Industry: Track And Manage Projects, Global, 2017–2022
  • 5. Application of Big Data Analytics in Construction Industry: Budgeting and Planning & Sensor Technology, Global, 2017–2022
  • 6. Application of Big Data Analytics in Construction Industry: Sensor types, Global, 2017–2022
  • 7. Application of Big Data Analytics in Construction Industry: Application Significance of Sensor-Based Technology, Global, 2017–2022
  • 8. Application of Big Data Analytics in Construction Industry: Improved Decision-Making, Global, 2017–2022
  • 9. Application of Big Data Analytics in Construction Industry: Monitoring and Tracking Machines, Global, 2017–2022
  • 10. Application of Big Data Analytics in Construction Industry: Machine Monitoring and Tracking Mechanism, Global, 2017–2022
  • 11. Application of Big Data Analytics in Construction Industry: Safety & Risk Assessment and Stakeholder Database, Global, 2017–2022
  • 12. Application of Big Data Analytics in Construction Industry: Construction Industry Productivity Challenges, Global, 2017–2022
  • 13. Application of Big Data Analytics in Construction Industry: Productivity Monitoring System, Global, 2017–2022
  • 14. Application of Big Data Analytics in Construction Industry: Fuel Management, Global, 2017–2022
  • 15. Application of Big Data Analytics in Construction Industry: Unauthorized Trips/Work, Global, 2017–2022
  • 16. Application of Big Data Analytics in Construction Industry: Unregulated Work Hours, Global, 2017–2022
  • 17. Application of Big Data Analytics in Construction Industry: Market Players—Start-ups, Global, 2017–2022
  • 18. Application of Big Data Analytics in Construction Industry: Drone Application, Global, 2017–2022
  • 19. Application of Big Data Analytics in Construction Industry: Drone Application, Global, 2017–2022
  • 20. Application of Big Data Analytics in Construction Industry: Aerial Monitoring, Global, 2017–2022
  • 21. Application of Big Data Analytics in Construction Industry: Stockpile/Asset Monitoring, Global, 2017–2022
  • 22. Application of Big Data Analytics in Construction Industry: Safety and Security, Global, 2017–2022
  • 23. Application of Big Data Analytics in Construction Industry: 3D Mapping, Global, 2017–2022
  • 24. Application of Big Data Analytics in Construction Industry: Improving Client Relationships, Global, 2017–2022
  • 25. Application of Big Data Analytics in Construction Industry: Drone Vendors and their Operations, Global, 2017–2022
  • 26. Application of Big Data Analytics in Construction Industry: 5G in Construction Industry, Global, 2017–2022
Related Research
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. Thi
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Table of Contents | Key Findings~ || Key Findings~ | Research Scope, Objectives, Background, and Methodology~ || Research Scope~ || Key Topics Covered in this Study~ || Research Methodology~ | 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~ | Overview of the Big Data Ecosystem in the Construction Industry~ || Big Data Ecosystem in Construction Industry—Overview~ | 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~ || 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~ | Overview of Big Data Analytics in Construction Industry—Productivity Management~ || Construction Industry—Productivity Challenges~ | Construction Tech and Market Players (Start-ups)~ || Construction Tech and Market Players—Start-ups~ | 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~ | 5G in Construction Industry and Implications~ || 5G Rollout in US and Europe—Roadmap~ || Implications~ || 5G in Construction Industry~ | Pitfalls of Big Data in the Construction Industry~ || Pitfalls of Big Data in the Construction Industry~ | Growth Opportunity Analysis~ || Growth Opportunity Overview~ || Strategic Imperatives for Success and Growth~ | Conclusion~ || The Last Word~ || Legal Disclaimer~ | Appendix~ || List of Acronyms~ || List of Exhibits~ | The Frost & Sullivan Story~
List of Charts and Figures 1. Application of Big Data Analytics in Construction Industry: Pitfalls of Big Data , Global, 2017–2022~| 1. Application of Big Data Analytics in Construction Industry: Need for Big Data in Construction Industry, Global, 2017–2022~ 2. Application of Big Data Analytics in Construction Industry: Big Data Ecosystem, Global, 2017–2022~ 3. Application of Big Data Analytics in Construction Industry: Modules of Big Data Analytics in Construction, Global, 2017–2022~ 4. Application of Big Data Analytics in Construction Industry: Track And Manage Projects, Global, 2017–2022~ 5. Application of Big Data Analytics in Construction Industry: Budgeting and Planning & Sensor Technology, Global, 2017–2022~ 6. Application of Big Data Analytics in Construction Industry: Sensor types, Global, 2017–2022~ 7. Application of Big Data Analytics in Construction Industry: Application Significance of Sensor-Based Technology, Global, 2017–2022~ 8. Application of Big Data Analytics in Construction Industry: Improved Decision-Making, Global, 2017–2022~ 9. Application of Big Data Analytics in Construction Industry: Monitoring and Tracking Machines, Global, 2017–2022~ 10. Application of Big Data Analytics in Construction Industry: Machine Monitoring and Tracking Mechanism, Global, 2017–2022~ 11. Application of Big Data Analytics in Construction Industry: Safety & Risk Assessment and Stakeholder Database, Global, 2017–2022~ 12. Application of Big Data Analytics in Construction Industry: Construction Industry Productivity Challenges, Global, 2017–2022~ 13. Application of Big Data Analytics in Construction Industry: Productivity Monitoring System, Global, 2017–2022~ 14. Application of Big Data Analytics in Construction Industry: Fuel Management, Global, 2017–2022~ 15. Application of Big Data Analytics in Construction Industry: Unauthorized Trips/Work, Global, 2017–2022~ 16. Application of Big Data Analytics in Construction Industry: Unregulated Work Hours, Global, 2017–2022~ 17. Application of Big Data Analytics in Construction Industry: Market Players—Start-ups, Global, 2017–2022~ 18. Application of Big Data Analytics in Construction Industry: Drone Application, Global, 2017–2022~ 19. Application of Big Data Analytics in Construction Industry: Drone Application, Global, 2017–2022~ 20. Application of Big Data Analytics in Construction Industry: Aerial Monitoring, Global, 2017–2022~ 21. Application of Big Data Analytics in Construction Industry: Stockpile/Asset Monitoring, Global, 2017–2022~ 22. Application of Big Data Analytics in Construction Industry: Safety and Security, Global, 2017–2022~ 23. Application of Big Data Analytics in Construction Industry: 3D Mapping, Global, 2017–2022~ 24. Application of Big Data Analytics in Construction Industry: Improving Client Relationships, Global, 2017–2022~ 25. Application of Big Data Analytics in Construction Industry: Drone Vendors and their Operations, Global, 2017–2022~ 26. Application of Big Data Analytics in Construction Industry: 5G in Construction Industry, Global, 2017–2022~
Author Saurabh Bhalerao
Industries Automotive
WIP Number PA0E-01-00-00-00
Is Prebook No
GPS Codes 9673-A6,9800-A6,9883-A6,9889-A6,9963-A6,9AF6-A6,9B01-A6,9B07-C1