---
title: SAS Visual Forecasting Reviews
meta_title: 'SAS Visual Forecasting Reviews 2026: Details, Pricing, & Features | G2'
meta_description: Filter 13 reviews by the users' company size, role or industry to
  find out how SAS Visual Forecasting works for a business like yours.
aggregate_rating:
  rating_value: 4.5
  review_count: 13
  scale: '5'
date_modified: '2026-07-17'
parent_category:
  name: Analytics Tools & Software
  url: https://www.g2.com/categories/analytics-tools-software
---

# SAS Visual Forecasting Reviews
**Vendor:** SAS Institute Inc.  
**Category:** [Time Series Intelligence Software](https://www.g2.com/categories/time-series-intelligence)  
**Average Rating:** 4.5/5.0  
**Total Reviews:** 13
## About SAS Visual Forecasting
SAS Visual Forecasting allows users to generate large numbers of trustworthy forecasts, quickly and automatically, using time series, machine learning and deep learning techniques. It comes with a no/low-code user interface, as well as a programmatic interface where users can code in SAS and open-source languages such as Python and R. Key features include: automatic data preparation, hierarchical forecasting, automatic segmentation of time series, incorporation of external drivers and events in a simple manner, hybrid forecasting techniques, interactive modeling capabilities, a framework to scale open-source algorithms in the cloud, a user friendly way for flexible overrides, and easy deployment of forecasting pipelines.



## SAS Visual Forecasting Pros & Cons
**What users like:**

- Users appreciate the **ease of use** of SAS Visual Forecasting, enhancing their efficiency with quick and intuitive workflows. (4 reviews)
- Users appreciate the **seamless integrations** in SAS Visual Forecasting, enhancing efficiency and ease of use significantly. (3 reviews)
- Users love the **ease of use and efficient data generation** in SAS Visual Forecasting, enhancing their modeling process. (2 reviews)
- Users appreciate the **time utilization efficiency** of SAS Visual Forecasting, enhancing productivity through effective large-scale forecasting. (2 reviews)
- Users praise the **accurate AI-generated analytics** of SAS Visual Forecasting, enhancing their decision-making process effortlessly. (1 reviews)
- Users commend the **top-notch customer support** of SAS Visual Forecasting, enhancing their overall experience with the platform. (1 reviews)
- Data Management (1 reviews)
- Users commend the **intuitive data visualization** capabilities of SAS Visual Forecasting, enhancing efficiency and decision-making. (1 reviews)
- Design Creativity (1 reviews)
- Drag (1 reviews)

**What users dislike:**

- Users find SAS Visual Forecasting to be **too complex** , requiring considerable support for effective implementation. (1 reviews)
- Users find the **setup overly complex** and require significant support for implementation of SAS Visual Forecasting. (1 reviews)
- Users find SAS Visual Forecasting **expensive** and challenging due to its steep learning curve for newcomers. (1 reviews)
- Users find the **licensing costs prohibitively high** , limiting accessibility for small businesses and startups. (1 reviews)
- Users find the **learning curve steep** , particularly for those unfamiliar with the SAS ecosystem, impacting usability. (1 reviews)
- Limited Accessibility (1 reviews)
- Limited Customization (1 reviews)
- Limited Features (1 reviews)
- Limited Functionality (1 reviews)


## SAS Visual Forecasting Discussions
  - [What is SAS Visual Forecasting used for?](https://www.g2.com/discussions/what-is-sas-visual-forecasting-used-for) - 1 comment, 1 upvote

- [View SAS Visual Forecasting pricing details and edition comparison](https://www.g2.com/products/sas-visual-forecasting/reviews?page=2&section=pricing&secure%5Bexpires_at%5D=2026-07-17+23%3A33%3A28+-0500&secure%5Bsession_id%5D=53e1f230-a493-487d-8236-4e160b78bb11&secure%5Btoken%5D=56a74c72b54e02742bbe75635b233271526e5d7c2d148ad5da5535735d08867c&format=llm_user)

## SAS Visual Forecasting Features
**Statistical Tool**
- Scripting
- Data Mining
- Algorithms

**Data Analysis**
- Analysis
- Data Interaction

**Decision Making**
- Modeling
- Data Visualizations
- Report Generation
- Data Unification

**Generative AI**
- AI Text Generation
- AI Text Summarization

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