GITNUX MARKETDATA REPORT 2024

Ai In The Concrete Industry Statistics

Utilizing AI in the concrete industry can lead to improved efficiency, accuracy, and sustainability in concrete production processes.

Highlights: Ai In The Concrete Industry Statistics

  • By 2027, the AI in the construction market is anticipated to reach $4.51 billion.
  • At least 50% of businesses using AI in construction have reported improved productivity.
  • A 2018 PWC survey found that 81% of CEOs in engineering and construction have plans to implement AI.
  • AI in the commercial building segment is expected to have the highest CAGR of 36.3% by 2026.
  • In 2019, predictive maintenance applications of AI in the concrete industry totaled $580.8 million.
  • By 2024, development of AI projects in the concrete industry will likely save the global construction industry about 1.2% annually.
  • By the end of 2020, 40% of infrastructure firms have digitized their means of operations fully, through AI applications.
  • AI-powered tools have increased the efficiency of concrete mixing by up to 60%.
  • The adoption of AI in the concrete industry could lead to a 20% reduction in total life-cycle costs of infrastructure projects.
  • By 2030, AI in concrete composition could reduce carbon emissions by 3.3%.
  • AI applications in the concrete industry can reduce water used by up to 20%.
  • About 65% of construction professionals are not using AI technology, despite recognizing its potential benefits.
  • Approximately 35% of construction professionals agree that data and analytics, including AI, are essential for future growth.
  • Through AI, efficiency in the concrete industry has the potential to boost profits by approximately 71% by the mid-2030s.
  • By 2025, the market for drones (used in AI applications) in the concrete industry is predicted to be over $20 billion.

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The Latest Ai In The Concrete Industry Statistics Explained

By 2027, the AI in the construction market is anticipated to reach $4.51 billion.

The statistic indicates that by the year 2027, the artificial intelligence (AI) in the construction market is projected to grow significantly and reach a market value of $4.51 billion. This suggests a rising adoption and integration of AI technology within the construction industry, enabling more efficient operations, improved project planning, and enhanced decision-making processes. The anticipated growth reflects the industry’s recognition of the potential benefits that AI can bring to construction projects, such as reducing costs, enhancing productivity, and ensuring quality outcomes. This statistic serves as a signal for stakeholders in the construction sector to further explore and invest in AI technologies to stay competitive and drive innovation in the market.

At least 50% of businesses using AI in construction have reported improved productivity.

The statistic suggests that a significant proportion of businesses employing artificial intelligence (AI) in the construction industry have seen a positive impact on their productivity levels. Specifically, the statement implies that over half of these businesses have experienced an improvement in their productivity as a result of leveraging AI technology in their operations. This finding underscores the potential benefits that AI can bring to the construction sector, such as streamlining project management, enhancing precision in tasks, and automating processes. By embracing AI tools and solutions, construction companies may be able to achieve higher efficiency, cost savings, and overall performance improvements, thereby staying competitive in an increasingly digitalized marketplace.

A 2018 PWC survey found that 81% of CEOs in engineering and construction have plans to implement AI.

The statistic indicates that according to a 2018 survey conducted by PWC, 81% of CEOs in the engineering and construction industry have intentions to incorporate artificial intelligence (AI) into their business operations. This suggests a strong inclination among industry leaders towards adopting AI technologies, which have the potential to improve operational efficiency, enhance decision-making processes, and drive innovation within the sector. The high percentage of CEOs expressing plans to implement AI signifies a significant shift towards embracing technological advancements in order to stay competitive and adapt to the evolving landscape of engineering and construction practices.

AI in the commercial building segment is expected to have the highest CAGR of 36.3% by 2026.

This statistic suggests that the use of artificial intelligence (AI) within the commercial building sector is projected to experience significant growth, with a compound annual growth rate (CAGR) of 36.3% by the year 2026. This indicates a substantial increase in the adoption and integration of AI technologies in various aspects of commercial building operations and management, such as energy management, security systems, maintenance, and occupant experience. The high CAGR reflects the perceived benefits and potential cost savings associated with implementing AI solutions in the commercial building segment, driving momentum towards more advanced and automated systems in the industry within the next few years.

In 2019, predictive maintenance applications of AI in the concrete industry totaled $580.8 million.

The statistic “In 2019, predictive maintenance applications of AI in the concrete industry totaled $580.8 million” indicates that in that year, the aggregate market value of utilizing artificial intelligence (AI) for predictive maintenance purposes within the concrete industry amounted to $580.8 million. This suggests a substantial investment made by companies in leveraging AI technology to predict and prevent equipment breakdowns and optimize maintenance processes within the concrete sector. The figure reflects a growing trend towards the adoption of advanced technology solutions to improve operational efficiency, reduce downtime, and enhance overall asset management practices in the concrete industry.

By 2024, development of AI projects in the concrete industry will likely save the global construction industry about 1.2% annually.

This statistic suggests that by the year 2024, the implementation and utilization of artificial intelligence (AI) technologies within the concrete industry are projected to result in cost savings for the global construction industry. Specifically, it is estimated that these AI projects could lead to annual savings of approximately 1.2% for the construction sector worldwide. This indicates that AI applications such as automation, predictive maintenance, and data analytics within the concrete industry are expected to streamline operations, optimize processes, and ultimately contribute to improved efficiency and cost-effectiveness throughout the construction value chain. By harnessing the power of AI, companies in the construction industry could potentially realize significant financial benefits and enhance their overall competitiveness in the market.

By the end of 2020, 40% of infrastructure firms have digitized their means of operations fully, through AI applications.

The statistic indicates that as of the end of 2020, 40% of infrastructure firms have fully embraced digitization by incorporating artificial intelligence (AI) applications into their operations. This means that a significant portion of infrastructure companies have leveraged AI technologies to streamline and enhance their processes, potentially leading to increased efficiency, cost savings, and innovative solutions within the industry. This trend suggests a growing recognition among infrastructure firms of the benefits of digital transformation in staying competitive and adapting to evolving market demands.

AI-powered tools have increased the efficiency of concrete mixing by up to 60%.

The statistic that AI-powered tools have increased the efficiency of concrete mixing by up to 60% indicates that utilizing artificial intelligence technology in the concrete mixing process has led to significant improvements in productivity and effectiveness. By leveraging AI algorithms and automated systems, concrete mixing tasks can be optimized with greater accuracy and speed, resulting in a substantial reduction in the time and resources required for mix design and production. This advancement allows construction projects to be completed more efficiently, with potential cost savings and improved overall quality of the concrete structures.

The adoption of AI in the concrete industry could lead to a 20% reduction in total life-cycle costs of infrastructure projects.

The statistic that the adoption of artificial intelligence (AI) in the concrete industry could result in a 20% reduction in total life-cycle costs of infrastructure projects suggests that utilizing AI technology has the potential to drive significant cost savings in the construction sector. By harnessing the power of AI, construction companies can optimize various processes such as project planning, design, and maintenance, leading to improved efficiency and lower overall expenses over the entire lifespan of infrastructure projects. This statistic highlights the transformative impact that AI can have on the concrete industry, paving the way for more sustainable and cost-effective construction practices in the future.

By 2030, AI in concrete composition could reduce carbon emissions by 3.3%.

The statistic ‘By 2030, AI in concrete composition could reduce carbon emissions by 3.3%’ suggests that the integration of artificial intelligence (AI) technology in the development of concrete materials has the potential to significantly decrease carbon emissions within the construction industry. This reduction in carbon emissions is attributed to the efficiency and precision offered by AI in optimizing the composition of concrete, thereby reducing the reliance on carbon-intensive materials and processes. By leveraging AI algorithms and data analytics, concrete production can be fine-tuned to minimize environmental impact, ultimately contributing to global efforts to combat climate change. The projected 3.3% reduction in carbon emissions highlights the promising role that AI can play in promoting sustainability and environmental conservation within the construction sector by the year 2030.

AI applications in the concrete industry can reduce water used by up to 20%.

This statistic suggests that incorporating artificial intelligence (AI) technology in the concrete industry can lead to a significant reduction in water consumption, potentially up to 20%. AI applications in this context likely involve optimizing the concrete mixing process, monitoring water usage in real-time, and implementing more efficient practices to minimize wastage. By using AI algorithms and data analysis, concrete producers can fine-tune their operations to achieve greater resource efficiency, which not only benefits the environment by conserving water but also translates into cost savings and increased sustainability for the industry as a whole.

About 65% of construction professionals are not using AI technology, despite recognizing its potential benefits.

The statistic indicates that approximately 65% of construction professionals are not utilizing artificial intelligence (AI) technology in their operations, even though they acknowledge the potential advantages it could offer. This suggests there is a significant gap between recognition of AI’s benefits and its actual adoption within the construction industry. The reluctance to adopt AI may stem from factors such as lack of awareness, concerns about implementation costs, or apprehensions about integrating new technologies into existing processes. Addressing these barriers and promoting the value of AI in enhancing efficiency, productivity, and decision-making within construction could potentially lead to increased adoption rates among professionals in the industry.

Approximately 35% of construction professionals agree that data and analytics, including AI, are essential for future growth.

The statistic suggests that around 35% of construction professionals recognize the importance of utilizing data and analytics, including artificial intelligence (AI), for the future growth of their industry. This indicates a significant portion of professionals in the construction sector believe that leveraging data-driven insights and advanced analytical tools will be crucial for driving innovation, efficiency, and competitiveness in the future. By embracing data and analytics, construction professionals are likely to make more informed decisions, improve project outcomes, optimize resource allocation, and enhance overall performance in a rapidly evolving industry landscape.

Through AI, efficiency in the concrete industry has the potential to boost profits by approximately 71% by the mid-2030s.

The statistic suggests that the implementation of artificial intelligence (AI) technologies in the concrete industry has the potential to significantly enhance efficiency and subsequently increase profits by around 71% by the mid-2030s. AI can revolutionize various aspects of the concrete industry by optimizing production processes, enhancing quality control, and streamlining operations. Through advanced data analytics, machine learning algorithms, and automation systems, AI can help reduce costs, minimize errors, and improve overall productivity. As a result, companies in the concrete industry could see a substantial boost in their profitability due to the efficiency gains facilitated by AI technologies over the next decade and a half.

By 2025, the market for drones (used in AI applications) in the concrete industry is predicted to be over $20 billion.

The statistic suggests that the market for drones in AI applications within the concrete industry is expected to experience significant growth by the year 2025, with a projected value exceeding $20 billion. This prediction indicates a robust demand for drone technology within the concrete sector, driven by advancements in artificial intelligence and automation. Drones offer the concrete industry various benefits such as enhanced efficiency, cost savings, improved safety, and increased productivity. The forecasted market size reflects the industry’s recognition of these advantages and a willingness to invest in drone technology to capitalize on its potential.

References

0. – https://www.www.enr.com

1. – https://www.www.goldmansachs.com

2. – https://www.www.alliedmarketresearch.com

3. – https://www.www.ibm.com

4. – https://www.www.mckinsey.com

5. – https://www.www.marketdataforecast.com

6. – https://www.www.constructionexec.com

7. – https://www.www.procore.com

8. – https://www.www.sciencedaily.com

9. – https://www.www.pwc.com

How we write our statistic reports:

We have not conducted any studies ourselves. Our article provides a summary of all the statistics and studies available at the time of writing. We are solely presenting a summary, not expressing our own opinion. We have collected all statistics within our internal database. In some cases, we use Artificial Intelligence for formulating the statistics. The articles are updated regularly.

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