The Latest Ai In The Drone Industry Statistics Explained
PwC estimates that the applicable market value of drone-powered solutions in all industries is over $127 billion.
The statistic provided indicates that accounting and consulting firm PricewaterhouseCoopers (PwC) has estimated the total market value of drone-powered solutions across various industries to be in excess of $127 billion. This figure suggests that there is a significant and growing demand for utilizing drones in a wide range of applications such as agriculture, construction, delivery services, surveillance, and infrastructure maintenance. The estimate highlights the potential economic impact and opportunities associated with the use of drone technology, indicating a substantial market size for companies operating in the drone industry and supporting sectors. The statistic implies that businesses and industries are increasingly recognizing the value and benefits of integrating drone-powered solutions into their operations.
By 2021, global AI in the drone market was expected to reach USD 1.21 billion.
The statistic states that the global artificial intelligence (AI) technology market within the drone industry was projected to reach a value of USD 1.21 billion by the year 2021. This indicates a notable growth in the integration of AI technologies within drones, reflecting an increasing trend towards utilizing advanced automation and intelligence in unmanned aerial vehicles. The significant market size also suggests a growing demand for AI-driven drone solutions across various industries such as agriculture, surveillance, delivery, and infrastructure inspection. This market projection reflects the increasing adoption of AI in enhancing the capabilities and efficiency of drones for a wide range of applications.
AI integrated drones are projected to reach a market value of 15 billion USD globally by 2022.
The statistic indicates that the market for drones integrated with artificial intelligence (AI) technology is expected to achieve a total value of 15 billion USD worldwide by the year 2022. This projection highlights the increasing demand for drones equipped with advanced technologies such as AI, which offer enhanced capabilities and functionalities for various applications. The integration of AI into drones allows for improved autonomous navigation, data processing, and decision-making abilities, making them more efficient and versatile in diverse industries such as agriculture, transportation, surveillance, and disaster management. The estimated market value signifies the significant growth and potential opportunities in the AI-integrated drone industry in the near future.
60% of drone users are applying or considering AI within their operations.
The statistic that 60% of drone users are applying or considering artificial intelligence (AI) within their operations indicates a strong trend towards the integration of advanced technology in this industry. This figure suggests that a majority of drone users are recognizing the potential benefits that AI can offer in enhancing the efficiency, automation, and analytical capabilities of their operations. By applying AI technology, drone users can potentially improve tasks such as data analysis, decision-making processes, and autonomous operation of drones. This statistic underscores the growing intersection between drones and AI technologies, highlighting the increasing importance of technological innovation in the field of drone operations.
North America held the largest AI in drone market share of 57.02% in 2019.
The statistic ‘North America held the largest AI in drone market share of 57.02% in 2019’ indicates that within the global market for artificial intelligence (AI) in drones, North America accounted for the highest proportion of market share in that particular year. This means that more than half of the total market for AI in drones was captured by companies or organizations based in North America, highlighting the region’s dominance and leadership in this industry segment. Factors such as technological advancements, innovation, investment, and strategic partnerships likely contributed to North America’s strong market presence in AI drone technology during 2019.
The AI in Drone market revenue was xx Million USD in 2019, and will reach xx Million USD in 2025, with a CAGR of x.x% during 2020-2025.
This statistic provides information on the revenue generated by the Artificial Intelligence (AI) in Drone market, stating that the revenue was xx Million USD in 2019 and is projected to reach xx Million USD by 2025. The Compound Annual Growth Rate (CAGR) of x.x% for the period 2020-2025 indicates the average annual growth rate of the market revenue during this timeframe. This growth rate enables stakeholders to understand the pace at which the market is expected to expand over the specified period, providing valuable insights for decision-making and investment purposes within the AI in Drone industry.
The software segment occupied around 92% of the market share in 2018, growing at a CAGR of over 35% from 2019 to 2025.
The statistic indicates that the software segment dominated the market in 2018, holding a significant 92% share. Furthermore, it highlights the impressive growth trajectory of the software segment, with a compound annual growth rate (CAGR) of over 35% projected from 2019 to 2025. This growth rate suggests a rapid expansion of the software market, indicating a strong demand for software products and services during the forecast period. The statistic underscores the importance of software in the market and the potential for continued growth and innovation within the industry.
Military and Defense AI drone application is growing at a CAGR of nearly 38%.
This statistic indicates that the use of artificial intelligence (AI) in military and defense drones is experiencing rapid and sustained growth, with a Compound Annual Growth Rate (CAGR) of approximately 38%. This suggests that the incorporation of AI technology in drones used for military and defense purposes is increasingly becoming common practice and is expected to continue expanding at a significant pace in the foreseeable future. This growth rate illustrates the potential for AI to enhance the capabilities of drones in areas such as surveillance, reconnaissance, targeting, and autonomous decision-making, leading to more efficient and advanced military operations.
The energy sector, including utilities and oil & gas, is expected to account for 25.9% of drone-powered solutions.
This statistic indicates that the energy sector, which comprises utilities and oil & gas industries, is projected to make up approximately 25.9% of all applications utilizing drone technology. This suggests that significant investments and advancements are being made in incorporating drones into operations within the energy industry. Utilizing drones in this sector can offer various benefits, such as enhancing safety protocols, improving efficiency in monitoring and maintaining infrastructure, conducting inspections in challenging or remote locations, and aiding in the collection of data for analysis and decision-making purposes. The substantial representation of the energy sector in the adoption of drone-powered solutions underscores the importance of technology integration in driving progress and innovation within the industry.
The share of drones equipped with AI is to increase from 45% in the year 2018 to 75% by 2025.
This statistic predicts the growth in the adoption of artificial intelligence (AI) technology in drones, with the percentage of drones equipped with AI expected to rise from 45% in 2018 to 75% by 2025. The increasing use of AI in drones signifies a significant shift towards more advanced and autonomous capabilities for drone operations. By leveraging AI, drones can enhance their intelligence and decision-making abilities, enabling them to perform complex tasks more efficiently and autonomously. This forecast suggests a rising trend in integrating AI technology into drones, which is poised to revolutionize various industries such as agriculture, construction, surveillance, and package delivery by providing enhanced capabilities and new opportunities for innovation and efficiency.
North America is expected to dominate the AI in a drone market during the forecast period 2021-2028.
This statistic indicates that North America is anticipated to hold a leading position in the AI in a drone market from 2021 to 2028, surpassing other regions in terms of market share and growth. This domination can be attributed to various factors such as technological advancements, a strong aerospace industry, supportive government policies, and significant investments in research and development of drone technology. The region’s robust infrastructure and skilled workforce may also contribute to its dominance in the AI in a drone market. As a result, North America is expected to be a key player in driving innovation and adoption of AI-powered drones over the forecast period.
The global market for drones in agriculture is expected to reach $5.7 billion by 2025.
This statistic indicates the anticipated size of the global market for drones specifically in the agricultural sector by the year 2025. The estimate suggests that the market value for drones used in agriculture is projected to reach $5.7 billion by that time, reflecting a significant growth potential for this technology in the farming industry. Drones have been increasingly utilized in agriculture for various purposes such as crop monitoring, spraying pesticides, and mapping fields, offering farmers valuable data and insights to improve productivity and efficiency. This statistic highlights the growing adoption and investment in drone technology within the agricultural sector, signaling a shift towards more technologically advanced and data-driven farming practices in the coming years.
The market value of drone-powered solutions in the insurance business is $6.8 billion.
The statistic stating that the market value of drone-powered solutions in the insurance business is $6.8 billion indicates the estimated total worth of drone technology utilization specifically within the insurance industry. This figure quantifies the economic value attributed to the adoption and integration of drone-powered solutions for various insurance-related activities such as risk assessment, property inspections, and claims processing. The $6.8 billion market value highlights the significant investment and growth potential in this sector, demonstrating the increasing importance and impact of drone technologies in revolutionizing efficiency, accuracy, and cost-effectiveness within the insurance industry.
Transport and logistics sector’s use of drones could potentially be $13 billion.
This statistic suggests that the transport and logistics sector has the potential to generate $13 billion in revenue by utilizing drones for various operations. Drones have been increasingly adopted by companies in this sector to enhance efficiency, reduce costs, and improve services. By leveraging drone technology for tasks such as package delivery, inventory management, and monitoring transportation routes, companies can streamline their operations and gain a competitive edge in the market. The projected $13 billion in revenue highlights the significant economic opportunity presented by drones in transforming the transport and logistics industry.
AI in drones in construction and real estate industry could generate approximately $11.2 billion.
The statistic mentioning that AI in drones in the construction and real estate industry could generate approximately $11.2 billion indicates the potential economic impact of integrating artificial intelligence technology with drone technology in these sectors. By leveraging AI algorithms, drones can be equipped to perform a variety of tasks such as site surveys, inspections, and data analysis more efficiently and accurately, leading to cost savings and operational improvements. The estimated revenue figure of $11.2 billion highlights the significant market opportunity for companies investing in AI-enhanced drone solutions within the construction and real estate industries, emphasizing the scalability and value that this technology combination can bring to various business operations.
References
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