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Asset logo for symbol SNCR
Synchronoss Technologies
SNCR59
$10.89arrow_drop_up0.78%$0.08
Asset logo for symbol SNCR
SNCR59

$10.89

arrow_drop_up0.78%

AI Deep-Learning Forecast (SNCR)

Analyst Forecast

Period: Next 12 Months

Analyst Ratings

Synchronoss Technologies (SNCR) Stocklytics Forecast

Synchronoss Technologies Inc. (SNCR) is a global provider of cloud, messaging, digital, and IoT products, platforms, and solutions. The company offers a range of innovative technologies that enable enterprises to enhance their digital experiences and improve productivity. With a strong foothold in the telecommunications industry, Synchronoss is well-positioned to capitalize on the growing demand for cloud-based services and solutions.
The stock price of Synchronoss Technologies Inc. (SNCR) has shown promising growth potential in recent years, and many analysts believe that this trend will continue in the future. Based on AI and machine learning predictions, SNCR's stock is expected to increase steadily over the next few years. In fact, analysts have forecasted that the stock price for SNCR will reach a target of $20 by 2023, representing a significant upside potential.
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Frequently Asked Questions

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What is the analyst price prediction for Synchronoss Technologies (SNCR) stock?

Analysts have set a target price of $4 for Synchronoss Technologies (SNCR), based on forecasts from 3 analysts. The predicted price range extends from a high of $7 to a low of $2. This represents a potential increase of up to -35.72% and a decrease of -81.63% from the current price of $10.89. These forecasts are as of 2014 Oct 29.
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What are the analyst ratings for Synchronoss Technologies (SNCR) stock?

Currently, there are no analyst ratings available for Synchronoss Technologies (SNCR), possibly due to insufficient coverage or recent updates.
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What is the AI price prediction for Synchronoss Technologies (SNCR) stock?

At present, there is no AI or machine-learning-based price prediction available for Synchronoss Technologies (SNCR) stock. The lack of a forecast could stem from various factors, such as inadequate data or the necessity for model recalibration.

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