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Asset logo for symbol SITM
SiTime
SITM46
$185.43arrow_drop_up0.74%$1.37
Asset logo for symbol SITM
SITM46

$185.43

arrow_drop_up0.74%

AI Deep-Learning Forecast (SITM)

Analyst Forecast

Period: Next 12 Months

Analyst Ratings

SiTime (SITM) Stocklytics Forecast

SiTime Corp (SITM) is a leading provider of MEMS-based timing solutions that enable the deployment of 5G, IoT, and automotive applications. The company's innovative technology and strong market position make it an attractive investment opportunity for long-term growth. With its unique and highly accurate timing solutions, SiTime is well-positioned to benefit from the increasing demand for precise timing in a wide range of industries.
In terms of stock price prediction, analysts expect SiTime Corp's stock to continue its upward trajectory in the coming years. According to market experts, the stock price could reach $100 by 2023. This forecast is based on the company's strong financial performance, expanding customer base, and growing market share. SiTime's focus on innovation and its ability to deliver cutting-edge timing solutions give it a competitive edge in the market, which is reflected in these optimistic projections.
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Frequently Asked Questions

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What is the analyst price prediction for SiTime (SITM) stock?

Analysts have set a target price of $179.14 for SiTime (SITM), based on forecasts from 28 analysts. The predicted price range extends from a high of $330 to a low of $96. This represents a potential increase of up to 77.96% and a decrease of -48.23% from the current price of $185.43. These forecasts are as of 2021 Sep 14.
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What are the analyst ratings for SiTime (SITM) stock?

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

At present, there is no AI or machine-learning-based price prediction available for SiTime (SITM) 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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