Big Data Analytics in Construction Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2024 to 2032

September 2024 | 250 pages | ID: B04E2C1A584CEN
Global Market Insights

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The Global Big Data Analytics In Construction Market was worth USD 8.4 billion in 2023 and will witness an 11% CAGR from 2024 to 2032, driven by the increasing demand for operational efficiency and cost reduction in the construction industry. As projects become more complex, stakeholders seek innovative solutions to optimize resources, improve decision-making, and enhance project management. Big data analytics enables real-time monitoring of construction processes, predictive maintenance, and risk assessment, facilitating better resource allocation. By harnessing data-driven insights, construction companies can streamline operations, reduce costs, and ultimately deliver projects on time and within budget, fueling market growth.
The big data analytics in construction industry is fragmented based on component, deployment model, technology, application, end-user, and region. The solution segment achieved a 70% share in 2023 due to its critical role in enhancing project outcomes. This segment encompasses various tools and software that enable construction firms to collect, analyze, and interpret vast amounts of data efficiently. By leveraging these solutions, companies can gain insights into project performance, resource utilization, and risk management.
The increasing reliance on data-driven decision-making in the construction industry further solidifies the solution segment’s dominance, driving significant growth in the market. The project management segment will secure USD 5.4 billion by 2032, driven by its crucial impact on project efficiency and success. By utilizing big data analytics, project managers can gain insights into timelines, budgets, and resource allocation, leading to informed decision-making. Enhanced visibility into project performance helps identify potential risks and bottlenecks early, enabling proactive management.
As construction projects become increasingly complex, the demand for data-driven project management solutions will drive growth in this segment substantially. North America big data analytics in construction market captured a 30% share in 2023, owing to rapid technological advancements and a strong emphasis on innovation. The region is home to many leading construction firms and technology providers increasingly adopting data analytics solutions to enhance project efficiency and decision-making. Additionally, supportive government initiatives and investments in infrastructure projects further propel market growth.As the demand for data-driven insights rises, North America's robust ecosystem positions it as a primary contributor to the overall market expansion.
Report Content

CHAPTER 1 METHODOLOGY & SCOPE

1.1 Research design
  1.1.1 Research approach
  1.1.2 Data collection methods
1.2 Base estimates & calculations
  1.2.1 Base year calculation
  1.2.2 Key trends for market estimation
1.3 Forecast model
1.4 Primary research and validation
  1.4.1 Primary sources
  1.4.2 Data mining sources
1.5 Market scope & definition

CHAPTER 2 EXECUTIVE SUMMARY

2.1 Industry 360° synopsis, 2021 - 2032

CHAPTER 3 INDUSTRY INSIGHTS

3.1 Industry ecosystem analysis
3.2 Supplier landscape
  3.2.1 Solution Providers
  3.2.2 Services provider
  3.2.3 Technology providers
  3.2.4 End-user
3.3 Profit margin analysis
3.4 Technology & innovation landscape
3.5 Cost structure analysis
3.6 Use-case studies
3.7 Patent analysis
3.8 Key news and initiatives
3.9 Regulatory landscape
3.10 Impact forces
  3.10.1 Growth drivers
    3.10.1.1 Growing investment in infrastructure development
    3.10.1.2 Increasing demand for efficiency and productivity in construction industry
    3.10.1.3 Rising adoption of digital technologies
    3.10.1.4 Growing need for data-driven decision making in construction sector
  3.10.2 Industry pitfalls & challenges
    3.10.2.1 Lack of skilled professionals
    3.10.2.2 High implementation costs
3.11 Growth potential analysis
3.12 Porter’s analysis
3.13 PESTEL analysis

CHAPTER 4 COMPETITIVE LANDSCAPE, 2023

4.1 Introduction
4.2 Company market share analysis
4.3 Competitive positioning matrix
4.4 Strategic outlook matrix

CHAPTER 5 MARKET ESTIMATES & FORECAST, BY COMPONENT, 2021-2032 ($BN)

5.1 Key trends
5.2 Solution
  5.2.1 BIM integration analytics
  5.2.2 Project management analytics
  5.2.3 Risk and safety analytics
  5.2.4 Predictive maintenance solutions
  5.2.5 Cost and financial analytics
  5.2.6 Others
5.3 Services
  5.3.1 Professional
  5.3.2 Managed

CHAPTER 6 MARKET ESTIMATES & FORECAST, BY DEPLOYMENT MODEL, 2021-2032 ($BN)

6.1 Key trends
6.2 On-premises
6.3 Cloud

CHAPTER 7 MARKET ESTIMATES & FORECAST, BY TECHNOLOGY, 2021-2032 ($BN)

7.1 Key trends
7.2 Predictive analytics
7.3 Machine learning and AI
7.4 Data visualization
7.5 IoT integration
7.6 Others

CHAPTER 8 MARKET ESTIMATES & FORECAST, BY APPLICATION, 2021-2032 ($BN)

8.1 Key trends
8.2 Project management
8.3 Design and planning
8.4 Construction management
8.5 Operations and maintenance
8.6 Others

CHAPTER 9 MARKET ESTIMATES & FORECAST, BY END-USER, 2021-2032 ($BN)

9.1 Key trends
9.2 General contractors
9.3 Subcontractors
9.4 Project owners
9.5 Architects and engineers
9.6 Government agencies

CHAPTER 10 MARKET ESTIMATES & FORECAST, BY REGION, 2021-2032 ($BN)

10.1 Key trends
10.2 North America
  10.2.1 U.S.
  10.2.2 Canada
10.3 Europe
  10.3.1 UK
  10.3.2 Germany
  10.3.3 France
  10.3.4 Italy
  10.3.5 Spain
  10.3.6 Russia
  10.3.7 Netherlands
  10.3.8 Rest of Europe
10.4 Asia Pacific
  10.4.1 China
  10.4.2 India
  10.4.3 Japan
  10.4.4 South Korea
  10.4.5 ANZ
  10.4.6 Southeast Asia
  10.4.7 Rest of Asia Pacific
10.5 Latin America
  10.5.1 Brazil
  10.5.2 Mexico
  10.5.3 Argentina
  10.5.4 Rest of LATAM
10.6 MEA
  10.6.1 UAE
  10.6.2 Saudi Arabia
  10.6.3 South Africa
  10.6.4 Rest of MEA

CHAPTER 11 COMPANY PROFILES

11.1 Autodesk
11.2 Bentley Systems
11.3 Bluebeam, Inc.
11.4 Buildertrend
11.5 CoConstruct
11.6 Contractor Foreman
11.7 Hexagon ABAsite
11.8 IBM Corporation
11.9 Jonas Construction Software
11.10 Microsoft Corporation
11.11 Oracle Corporation
11.12 PlanSwift
11.13 Procore Technologies, Inc.
11.14 RIB Software SE
11.15 Sage
11.16 SAP SE
11.17 SAS Institute Inc
11.18 Tableau Software
11.19 Triax Technologies
11.20 Trimble


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