With Big Data Coming Into Picture Construction Industry is Expected to Witnesses Transformational Growth
30-Aug-2018
Asia Pacific
Market Research
PA0E-01-00-00-00
AU01707-AP-MR_22264
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.
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 Industry—Productivity Challenges
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
- 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
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| Deliverable Type | Market Research |
|---|---|
| No Index | No |
| Podcast | No |
| 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 |
Application of Big Data Analytics in Construction Industry, Forecast to 2022
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