全球商用無人機市場預測 (2015年∼2020年) :各市場區隔 (硬體設備、軟體、服務) 、各產業領域 (能源、農業、不動產、礦業、物流媒體、娛樂) 、各地區
Worldwide Commercial Drones Market Forecast Report (2015 - 2020): by Segments (Hardware; Software; Services); by Verticals (Energy, Agriculture, Real Estate, Mining, Logistics Media & Entertainment,); by Regions (NA, Europe, APAC, CALA, MEA)
|出版商||Arcluster Pte. Ltd.||商品編碼||352692|
|出版日期||內容資訊||英文 20 Pages
|全球商用無人機市場預測 (2015年∼2020年) :各市場區隔 (硬體設備、軟體、服務) 、各產業領域 (能源、農業、不動產、礦業、物流媒體、娛樂) 、各地區 Worldwide Commercial Drones Market Forecast Report (2015 - 2020): by Segments (Hardware; Software; Services); by Verticals (Energy, Agriculture, Real Estate, Mining, Logistics Media & Entertainment,); by Regions (NA, Europe, APAC, CALA, MEA)|
|出版日期: 2016年02月22日||內容資訊: 英文 20 Pages||
The 2016 Arcluster Market Forecast Report on Commercial Drones covers the market dynamics, assumptions, forces, segments, sizes and forecasts of commercial drones for the period 2015 - 2020. This report is a presentation brief targeted primarily at providing the market trends and forecasts with demand side insights and key vendor profiles. Market data, which forms the backbone of the study, has been gathered through a rigorous period of information from both secondary and primary sources through interviews with industry participants, manufacturers, enterprises, small and medium businesses, channel players and regulators.
Data gathered from these interviews and surveys was analyzed, and engineered to understand spending, demand and supply patterns and to estimate market sizes and forecasts. The resultant data was cross-checked through market-data associations and then validated through multiple consistency check points.
The market for commercial drones is segmented into three categories -Segments, Verticals and Regions. Each of these categories are further segmented by types.
By Segments - the market size and forecasts for commercial drones are provided by Hardware, Software and Services.
By Verticals - the market size and forecasts are provided for 7 verticals - Energy and Utilities, Agriculture, Real Estate, Mining and Construction, News, Media & Entertainment, Logistics and Supply Chain & Others.
By Regions - the market size and forecasts are provided for 5 regions - North America, Europe, Middle-East & Africa, Central/Latin America and Asia-Pacific.
The 2016 forecast report on Commercial Drones is part of an ongoing series of market reports that focus on micro emerging trends, market sizes and forecasts of drones and UAVs across multiple regions and countries.
Arcluster's forecast report on commercial drones is a useful marketing, strategy and business planning aid to companies and corporations that cater to the UAV and drones market. Readers can benefit from the wealth of quantitative market data on various segments and perspectives across the ecosystem. These data points can be valuable enablers for decision makers to quickly understand the current and evolving market opportunities, helping them to make marketing decisions and solutions.
Commercial Drones are small unmanned aerial vehicles (sUAVs) that are utilized across multiple verticals such as Agriculture, Energy and Utilities, Real Estate, Mining and Construction, News, Media and Entertainment, Logistics and supply chain among others. They are a subset of the larger unmanned aerial vehicles (UAV) market. Other drone markets such as consumer drones and military drones are also subsets of the overall UAV market. Commercial drones, for the purpose of the study, is sub-categorized by drone hardware (drone components), software (covering monitoring, measurement and tracking solutions, apps etc.) and services (professional, consulting, drones as a service etc.)
One of the most challenging aspects of sizing the commercial drones market was to objectively encompass the regulatory scenario across several countries. The data engineering itself comes with the backing of multi-tiered scenario based analysis. Three levels of adoption were considered and the most balanced and neutral perspective has been employed as the base for the data model. This enables the research to be a straight-up non-biased evaluation. The standard top-down and bottom-up methodologies were followed to build more robustness to the market estimates. With STP analysis being the base for the top down approach, the addressable and available market estimates were identified from top-level data points. The bottom up approach was used to qualitatively assess large volumes of customer groups (enterprises) that represent the target market segment, across different geographies. These customer groups act like the sample of the overall market and were employed to identify buying behavior and initial customers.
A custom data layer was designed and embedded along towards verifying and authenticating buyer decisions and preferences from a number perspective as well. The market engineered data was further applied with multiple check points to validate consistencies, manage error samples and reduce variances.
Arun Nirmal is a principal consultant and research director at Arcluster. His primary role is to execute research studies, while managing and delivering research engagements to companies worldwide. He routinely discusses early technology and market trends across micro emerging opportunities with key industry experts and decision makers. Arun has a rich experience of managing high value research and consulting engagements at top firms and also has a diverse understanding of product planning, competitive intelligence and marketing management.