Oxylabs Automotive Industry Data Wordwide
Thomson Data | B2B Contact Data Worldwide by Industry - reach executives in your target industry
BA Industry Predictions - Industry Attractiveness for Technology, Media & Telecom (TMT) - Europe, North
Bright Data | Travel Data - Global Coverage - Travel Industry Data from Hotel Websites & Flight Aggregators
StageZero's Industrial Work Safety Data: Helmet and Person w/ 3k images (images only) GDPR compliant
US Education Industry Professionals | B2B Contact Data by Every Market Media
Alqami Defense Industry Manufacturing Data Global | market forecasts & intelligence
GiantLeap Interactive: Healthcare Industry Leads Data (90+ Countries Covered)
Brain Thematic Baskets - Industry-specific Stock Data / Global Coverage / Algorithm-based Data Selection
Span Global Services: Industry B2B Email Data - Global Email Lists, Geo-Targeted, Ethically-sourced,
The Ultimate Guide to Industry Data 2021
What is Industry Data?
An industry is defined as a classification of economic activity. There are many parts of an economy and participants in these groups - these are ‘industries’. Participators in the same economic classification in a broader sense of term can be described as an industry. Industry data provides intelligence on any given industry, what makes it tick, its major participants and all other information concerning it.
How is Industry Data collected?
The type of industry data being collected usually determines the source or method of collection. Considering there are usually hundreds of industries in any given economy, the methods may vary, but there are some common sources and means of collection of industry data. Industry data can be collected from reports on research conducted in markets. Industry data can also be found in articles and journals. Another source of collection are industry classification systems, as well as industry forecasts, government reports, statistics, industry associations, brands, competitors and global organiztion reports. All of these sources contain data determined by research and observations of specific industries.
What are the attributes of Industry Data?
Since industry data is intelligence on a given industry, then an industry datset should typically contain information on the characteristsics of that industry. These include features or characteristics such as sectors in the industry, which detail the extent of creation in the industry. Industry data can also tell a user about the amount of resources required for participation in the industry, labor, financials, barriers to entry in the industry, level and type of competition in the industry, structure of the industry, including competition and monopolies. Attributes of a typical industry dataset also include details on competitive advantages, the life cycle of the industry from nascent to decline, and the negative by-products the industry’s activities may produce, such as pollution. Furthermore, details on a typical business model for that industry, as well as what type of labor it requires, are important industry data attributes.
What is Industry Data used for?
In a nutshell, if you are seeking information on an industry, its components, and how it performs, then industry data is what you need. Industry data is also useful in the use case of machine learning. Machine learning is the process of increasing the strength and accuracy at which an algorithm operates. This determines its response to data inputs, and so industry data is essential for improving the capacity or capabilities at which the algorithm can analyse data and make informed and accurate decisions. It is used in feasibility reports and expansion strategies.
How can a user assess the quality of Industry Data?
There are a lot of features, components and characteristics that make up an industry datatset. It’s important that an industry dataset is of high quality. For industry data to pass data quality assessment, it neess to be consistent and up to date. It must be timely, and it should also contain the necessary attributes of the particular industry it is providing information about. To further assess the quality of industry data, you need to verify that the data provider is reliable. You can do this by checking previous buyer reviews to get an idea of what exactly other clients thought about the data provider and its services.
Who are the best Industry Data providers?
Finding the right Industry Data provider for you really depends on your unique use case and data requirements, including budget and geographical coverage. Popular Industry Data providers that you might want to buy Industry Data from are Automaton AI, DDS Digital Data Services, ShAIp, Knuckle Head, and Subpico.
Where can I buy Industry Data?
Data providers and vendors listed on Datarade sell Industry Data products and samples. Popular Industry Data products and datasets available on our platform are Oxylabs Automotive Industry Data Wordwide by Oxylabs, Thomson Data | B2B Contact Data Worldwide by Industry - reach executives in your target industry by Thomson Data, and BA Industry Predictions - Industry Attractiveness for Technology, Media & Telecom (TMT) - Europe, North America, Asia, Oceania by Boston Analytics.
How can I get Industry Data?
You can get Industry Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Industry Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Industry Data APIs, feeds and streams to download the most up-to-date intelligence.
What are similar data types to Industry Data?
Industry Data is similar to Environmental Data, B2B Data, Energy Data, Real Estate Data, and Geospatial Data. These data categories are commonly used for Machine Learning (ML) and Industry Data analytics.