Google Trends is a wonderful platform that can help you understand trending searches on the Google. It gives insight into what keyword searches are currently popular or were trending during a certain period of time on Google search.
In this post we have provide a comparison between the following voice assistant system.
Siri
It is Apple's voice-controlled personal assistant and she, or he, has been around for several years now. The assistant first appeared on the iPhone 4S and it was described by Apple as the best thing on the iPhone during the launch presentation.
Alexa
Amazon Alexa, known simply as Alexa, is a virtual assistant developed by Amazon, first used in the Amazon Echo and the Amazon Echo Dot smart speakers developed by Amazon Lab126. It is capable of voice interaction, music playback, making to-do lists, setting alarms, streaming podcasts, playing audiobooks, and providing weather, traffic, sports, and other real-time information, such as news.
Now let's take a look at the Google Trends for above keywords using below criteria:
Comparison: WorldWide
Duration: Past 5 years
Search Type: Text Search
Interest over time
Numbers represent search interest relative to the highest point on the chart for the given region and time. A value of 100 is the peak popularity for the term. A value of 50 means that the term is half as popular. A score of 0 means there was not enough data for this term.
Let's compare the breakdown by region
Interest by region
See in which location your term was most popular during the specified time frame. Values are calculated on a scale from 0 to 100, where 100 is the location with the most popularity as a fraction of total searches in that location, a value of 50 indicates a location which is half as popular. A value of 0 indicates a location where there was not enough data for this term.
Note: A higher value means a higher proportion of all queries, not a higher absolute query count. So a tiny country where 80% of the queries are for "bananas" will get twice the score of a giant country where only 40% of the queries are for "bananas".
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