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Global Drone Analytics Software Market to reach USD XX billion by the end of 2030.

Global Drone Analytics Software Market Size study & Forecast, by Type (On-Premises, On-Demand), by Solution (End-to-End Solutions, Point Solutions), by Application (Thermal Detection, Geolocation Tagging, Aerial Monitoring, Ground Exploration, Volumetric Calculations, 3D Modelling, Others) and Regional Analysis, 2023-2030

Product Code: ICTEITS-19753488
Publish Date: 30-10-2023
Page: 200

Global Drone Analytics Software Market is valued at approximately USD XX billion in 2022 and is anticipated to grow with a healthy growth rate of more than XX% over the forecast period 2023-2030. Drone analytics software refers to specialized applications and platforms designed to process, analyze, and interpret data captured by drones. These software solutions are essential for extracting valuable insights and actionable information from the vast amounts of data collected during drone flights. Drone analytics software typically encompasses a range of features that aid in data visualization, data processing, and data-driven decision-making. The key factors driving the market growth are the rising adoption of drones, the growing need for real-time data analysis, the rising demand for actionable insights, and the growing demand for precision agriculture and environmental monitoring that anticipated to support the market growth during the forecast period 2023-2030.

Moreover, the adoption of drones has been on the rise across various industries, and this trend is expected to continue to support the growth of the Drone Analytics Software Market. According to Statista, in 2020, the global Drone market was valued at USD 22 billion; in 2022 the market reached USD 33 billion, and it is anticipated to reach USD 43 billion by 2025. As a result, the growing drone market is anticipated to support the market growth. Additionally, the rising adoption of airborne communication nodes in military missions is anticipated to create a lucrative opportunity for the market during the forecast period 2023-2030. However, the growing concerns over cyber security and the lack of skilled personnel to operate drone stifles market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Drone Analytics Software Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 owing to the rising adoption of drones in various industries, the rising need for data-driven decision-making, rising military expenditure, and the growing demand for remote sensing and mapping. Whereas, the Asia Pacific is expected to grow with the highest CAGR during the forecast period, owing to factors such as the rising adoption of drones, advancements in drone technology, rising need for data-driven decisions, increasing awareness about the benefits of drone analytics, and growing demand for precision agriculture and environmental monitoring.

Major market player included in this report are:
i3D Robotics Ltd (U.S.)
Dreamhammer Inc. (U.S.)
DroneDeploy Inc. (U.S.)
Pix4D (Switzerland)
Precisionhawk Inc. (U.S.)
Sensefly Ltd. (Switzerland)
DJI (China)
Drone Volt (France)
Airware, Inc (U.S.)

Recent Developments in the Market:
Ø In May 2022, AgEagle introduced advance features, and capabilities for Measure Ground Control, which anticipated to assist corporate clients as well as experienced drone service providers across several sectors in making better use of autonomous drone operations.

Global Drone Analytics Software Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Type, Solution, Application, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Type:
By Solution:
End-to-End Solutions
Point Solutions
By Application:
Thermal Detection
Geolocation Tagging
Aerial Monitoring
Ground Exploration
Volumetric Calculations
3D Modelling
By Region:

North America


Asia Pacific
South Korea

Latin America

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
1.2.1. Drone Analytics Software Market, by Region, 2020-2030 (USD Billion)
1.2.2. Drone Analytics Software Market, by Type, 2020-2030 (USD Billion)
1.2.3. Drone Analytics Software Market, by Solution, 2020-2030 (USD Billion)
1.2.4. Drone Analytics Software Market, by Application, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Drone Analytics Software Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Drone Analytics Software Market Dynamics
3.1. Drone Analytics Software Market Impact Analysis (2020-2030)
3.1.1. Market Drivers Rising adoption of drones Growing need for real-time data analysis Rising demand for precision agriculture and environmental monitoring
3.1.2. Market Challenges Growing concerns over cyber security Lack of skilled personnel to operate a drone
3.1.3. Market Opportunities Rising adoption of airborne communication nodes in military missions
Chapter 4. Global Drone Analytics Software Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Drone Analytics Software Market, by Type
5.1. Market Snapshot
5.2. Global Drone Analytics Software Market by Type, Performance – Potential Analysis
5.3. Global Drone Analytics Software Market Estimates & Forecasts by Type 2020-2030 (USD Billion)
5.4. Drone Analytics Software Market, Sub Segment Analysis
5.4.1. On-Premises
5.4.2. On-Demand
Chapter 6. Global Drone Analytics Software Market, by Solution
6.1. Market Snapshot
6.2. Global Drone Analytics Software Market by Solution, Performance – Potential Analysis
6.3. Global Drone Analytics Software Market Estimates & Forecasts by Solution 2020-2030 (USD Billion)
6.4. Drone Analytics Software Market, Sub Segment Analysis
6.4.1. End-to-End Solutions
6.4.2. Point Solutions
Chapter 7. Global Drone Analytics Software Market, by Application
7.1. Market Snapshot
7.2. Global Drone Analytics Software Market by Application, Performance – Potential Analysis
7.3. Global Drone Analytics Software Market Estimates & Forecasts by Application 2020-2030 (USD Billion)
7.4. Drone Analytics Software Market, Sub Segment Analysis
7.4.1. Thermal Detection
7.4.2. Geolocation Tagging
7.4.3. Aerial Monitoring
7.4.4. Ground Exploration
7.4.5. Volumetric Calculations
7.4.6. 3D Modelling
7.4.7. Others
Chapter 8. Global Drone Analytics Software Market, Regional Analysis
8.1. Top Leading Countries
8.2. Top Emerging Countries
8.3. Drone Analytics Software Market, Regional Market Snapshot
8.4. North America Drone Analytics Software Market
8.4.1. U.S. Drone Analytics Software Market Type breakdown estimates & forecasts, 2020-2030 Solution breakdown estimates & forecasts, 2020-2030 Application breakdown estimates & forecasts, 2020-2030
8.4.2. Canada Drone Analytics Software Market
8.5. Europe Drone Analytics Software Market Snapshot
8.5.1. U.K. Drone Analytics Software Market
8.5.2. Germany Drone Analytics Software Market
8.5.3. France Drone Analytics Software Market
8.5.4. Spain Drone Analytics Software Market
8.5.5. Italy Drone Analytics Software Market
8.5.6. Rest of Europe Drone Analytics Software Market
8.6. Asia-Pacific Drone Analytics Software Market Snapshot
8.6.1. China Drone Analytics Software Market
8.6.2. India Drone Analytics Software Market
8.6.3. Japan Drone Analytics Software Market
8.6.4. Australia Drone Analytics Software Market
8.6.5. South Korea Drone Analytics Software Market
8.6.6. Rest of Asia Pacific Drone Analytics Software Market
8.7. Latin America Drone Analytics Software Market Snapshot
8.7.1. Brazil Drone Analytics Software Market
8.7.2. Mexico Drone Analytics Software Market
8.8. Middle East & Africa Drone Analytics Software Market
8.8.1. Saudi Arabia Drone Analytics Software Market
8.8.2. South Africa Drone Analytics Software Market
8.8.3. Rest of Middle East & Africa Drone Analytics Software Market

Chapter 9. Competitive Intelligence
9.1. Key Company SWOT Analysis
9.1.1. Company 1
9.1.2. Company 2
9.1.3. Company 3
9.2. Top Market Strategies
9.3. Company Profiles
9.3.1. i3D Robotics Ltd (U.S.) Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
9.3.2. Dreamhammer Inc. (U.S.)
9.3.3. DroneDeploy Inc. (U.S.)
9.3.4. ESRI (U.S.)
9.3.5. Pix4D (Switzerland)
9.3.6. Precisionhawk Inc. (U.S.)
9.3.7. Sensefly Ltd. (Switzerland)
9.3.8. DJI (China)
9.3.9. Drone Volt (France)
9.3.10. Airware, Inc (U.S.)
Chapter 10. Research Process
10.1. Research Process
10.1.1. Data Mining
10.1.2. Analysis
10.1.3. Market Estimation
10.1.4. Validation
10.1.5. Publishing
10.2. Research Attributes
10.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
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Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
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Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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