The Latest Ai In The Construction Industry Statistics Explained
By 2023, the global AI in construction market is expected to reach up to $4.51 billion.
The statistic indicates that the global market for artificial intelligence (AI) in the construction industry is projected to grow significantly, reaching a value of $4.51 billion by the year 2023. This growth is driven by the increasing adoption of AI technologies within the construction sector to enhance processes, improve efficiency, and reduce costs. AI applications in construction, such as predictive analytics, project management tools, and autonomous equipment, are expected to play a critical role in transforming the industry and driving innovation. The forecasted market value reflects the growing recognition of AI’s potential to revolutionize the construction sector and meet the industry’s evolving needs for advanced technological solutions.
In 2026, the market value for AI in the construction industry is projected to rise to around $ 2,326.1 million.
The statistic states that by the year 2026, the market value for Artificial Intelligence (AI) within the construction industry is estimated to increase significantly to approximately $2,326.1 million. This projection reflects a growing trend towards the adoption of AI technologies within the construction sector to enhance efficiency, productivity, and accuracy in various processes such as project management, design, site monitoring, and predictive maintenance. The rising market value indicates a promising future for AI integration in construction, offering opportunities for companies to streamline operations, improve decision-making, and deliver higher quality projects within the industry.
North America leads the AI in construction market, accounting for more than 35% of the global market share.
The statistic indicates that North America is the largest regional market for artificial intelligence (AI) in the construction industry, holding a substantial share of over 35% of the global market. This demonstrates the strong presence and adoption of AI technologies within the construction sector in North America compared to other regions worldwide. The prominence of AI in North America could be attributed to factors such as technological advancements, research and development efforts, high infrastructure investments, and a growing need for efficient and innovative solutions in the construction field. This statistic highlights the significant role that North America plays in driving the growth and development of AI applications within the construction industry on a global scale.
The AI construction tech segment is expected to reach $126.4B by 2025, growing at a CAGR of 56.8%.
This statistic indicates that the artificial intelligence (AI) construction technology sector is projected to grow rapidly, reaching a market value of $126.4 billion by the year 2025. The Compound Annual Growth Rate (CAGR) of 56.8% reflects the strong and consistent growth expected in this industry over the forecast period. This substantial growth suggests an increasing adoption of AI technology in the construction sector, driven by advancements in automation, data analytics, and machine learning applications. The statistic highlights significant opportunities for innovation and efficiency improvements within the construction industry through the integration of AI technologies.
Until 2026, the AI in construction market is expected to grow approximately at a 22.7% CAGR.
This statistic indicates that the artificial intelligence (AI) in the construction market is projected to experience significant growth over the period until 2026, with a Compound Annual Growth Rate (CAGR) of approximately 22.7%. This implies that the market is expected to expand at a steady pace, averaging an annual growth rate of 22.7% over the specified timeframe. Such substantial growth signals increasing adoption of AI technologies within the construction industry, with companies leveraging AI for various applications such as project management, design optimization, and safety enhancements. The rising demand for automation, efficiency improvements, and data-driven decision-making in the construction sector is likely to drive this rapid growth of AI technologies in the industry.
Autonomous vehicles in the construction industry will represent over 40% of total construction industry spending on AI.
This statistic suggests that a significant proportion of spending on artificial intelligence (AI) within the construction industry will be directed towards autonomous vehicles. Specifically, over 40% of the total investment in AI technologies in the construction sector is projected to be allocated towards autonomous vehicles. This indicates a growing trend towards implementing advanced technologies, such as self-driving vehicles, to optimize processes, increase efficiency, and improve safety within the construction industry. The adoption of autonomous vehicles in construction can potentially revolutionize how tasks are carried out, leading to increased productivity and cost savings for companies operating within this sector.
Despite AI technologies, 72% of construction industry operatives still believe human workforce would not be redundant.
The statistic indicates that despite the advancements in artificial intelligence (AI) technologies, a significant majority (72%) of construction industry operatives do not believe that the human workforce would become redundant. This suggests that there is a prevailing sentiment within the construction industry that human workers play a crucial role that cannot be fully replaced by AI technologies. This belief may be attributed to the complex nature of construction tasks that may require human skills such as creativity, problem-solving, adaptability, and physical dexterity, which are not easily replicable by AI systems. It also reflects a recognition of the value that human workers bring in terms of experience, judgment, and interpersonal skills that are essential in construction projects.
In the UK, approximately 16% of construction firms are using AI and machine learning to carry out their operations.
The statistic indicates that in the United Kingdom, around 16% of construction firms have adopted artificial intelligence (AI) and machine learning technologies as part of their operations. This suggests that a notable proportion of construction companies in the UK are leveraging advanced technologies to enhance efficiency, productivity, and decision-making processes within their businesses. By incorporating AI and machine learning tools, these firms may be able to automate tasks, analyze data more effectively, optimize project management, and potentially improve overall performance. The statistic reflects a growing trend within the construction industry towards embracing technological innovations to stay competitive and drive innovation in their operations.
By 2030, AI could lead to performance improvements that could save the construction industry between $1 trillion and $1.7 trillion annually.
The statistic suggests that by the year 2030, the integration of artificial intelligence (AI) technologies into the construction industry has the potential to significantly enhance performance and efficiency, resulting in cost savings amounting to an estimated range of $1 trillion to $1.7 trillion on an annual basis. This indicates that AI could revolutionize various aspects of the construction sector, such as project management, risk assessment, design optimization, and productivity enhancements, leading to substantial financial benefits for the industry as a whole. As AI continues to evolve and become more widely adopted within construction practices, it is increasingly evident that these innovations have the capacity to drive substantial financial growth and improvements in operational effectiveness within the industry.
The AI-driven project scheduling application segment of the construction industry is expected to grow at the highest CAGR during the forecast period.
This statistic highlights the projected growth rate of the AI-driven project scheduling application segment within the construction industry, indicating that this specific technology niche is anticipated to experience the highest Compound Annual Growth Rate (CAGR) compared to other areas within the industry. This suggests an increasing demand and adoption of AI-driven solutions for project scheduling purposes in construction projects, likely driven by the potential benefits of improved efficiency, accuracy, and cost-effectiveness that AI technology can offer. The forecasted high CAGR for this segment indicates a strong market potential and a significant shift towards incorporating advanced technological solutions in project management processes within the construction sector.
By 2026, the Artificial Intelligence (AI) in the construction market is expected to showcase an annual growth rate (CAGR) of over 28%.
This statistic indicates that the Artificial Intelligence (AI) sector within the construction industry is anticipated to experience significant expansion over the next several years. Specifically, the statistic projects that the Compound Annual Growth Rate (CAGR), a measure of the average annual growth rate, for AI in construction will exceed 28% by the year 2026. This suggests a rapid acceleration in the adoption and implementation of AI technologies within construction processes, potentially leading to increased efficiency, productivity, and innovation within the industry. Such substantial growth forecasts signal a strong market demand for AI solutions in construction and indicate a promising outlook for the future integration of artificial intelligence in construction practices.
Approximately 7% of construction companies are utilizing AI for equipment servicing in order to better predict downtime.
The statistic that approximately 7% of construction companies are utilizing AI for equipment servicing to better predict downtime indicates a modest but growing trend within the industry towards leveraging artificial intelligence technology for maintenance optimization. By using AI, these companies aim to forecast potential equipment failures and schedule preventative servicing, ultimately reducing machine downtime and improving operational efficiency. This statistic highlights a shift towards data-driven decision-making in the construction sector, where predictive maintenance strategies driven by AI algorithms are being adopted to minimize disruptions and enhance productivity.
Around 22% of construction companies are using AI for building information modeling.
The statistic suggests that approximately 22% of construction companies have adopted artificial intelligence (AI) technology for the purpose of building information modeling (BIM). BIM is a digital representation of a construction project that includes detailed information about various aspects such as design, materials, and logistics. The use of AI in BIM can help streamline the construction process, improve efficiency, reduce errors, and enhance collaboration among different stakeholders involved in a construction project. The fact that around a fifth of construction companies are utilizing AI for BIM indicates a growing trend towards adopting advanced technologies in the construction industry to improve project outcomes and increase productivity.
Artificial Intelligence in construction productivity increased by 6.3% due to machine learning use.
The statistic “Artificial Intelligence in construction productivity increased by 6.3% due to machine learning use” indicates that the adoption of machine learning technology within the construction industry led to a significant improvement in productivity, specifically by 6.3%. This suggests that incorporating artificial intelligence tools, such as machine learning algorithms, has enabled construction companies to optimize their operations, streamline processes, and enhance overall efficiency. By leveraging advanced data analytics and automation capabilities provided by machine learning, construction firms have been able to make more informed decisions, reduce errors, and ultimately boost productivity levels. This statistic underscores the transformative impact of artificial intelligence on the construction sector and highlights the tangible benefits of embracing innovative technologies for driving performance improvements.
References
0. – https://www.www.abiresearch.com
1. – https://www.www.worldpropertyjournal.com
2. – https://www.www.gminsights.com
3. – https://www.em360tech.com
4. – https://www.www.statista.com
5. – https://www.builtin.com
6. – https://www.www.mckinsey.com
7. – https://www.www.globenewswire.com
8. – https://www.whatech.com
9. – https://www.www.pbctoday.co.uk
10. – https://www.www.e2open.com
11. – https://www.www.raconteur.net
12. – https://www.www.marketsandmarkets.com
