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  3. IBM watsonx
Logo of IBM watsonx

IBM watsonx

byIBM
in
3.3
2025
Market Presence: Data Science and Machine Learning Platforms (Transitioning to AI Platforms For Data Science and Machine Learning), AI in CSP Customer and Business Operations

Overview

Product Information on IBM watsonx

Updated 13th October 2025

What is IBM watsonx?

IBM watsonx is a software platform designed to facilitate the development, training, and deployment of artificial intelligence models and applications. The software provides tools for foundation model management, generative AI workflows, and data governance, allowing organizations to build custom AI solutions tailored to specific business needs. It supports data preparation, model lifecycle management, and observability, aiming to address challenges related to scalable AI implementation and compliance. By integrating capabilities for accessing structured and unstructured data, IBM watsonx seeks to streamline workflows in environments that require automation, decision support, and advanced analytics, assisting organizations in managing the complexities associated with operationalizing artificial intelligence.

IBM watsonx Pricing

IBM watsonx software follows a consumption-based pricing model where charges are based on usage, typically measured in units such as model inference, training time, or compute resources. The software may also offer tiered plans or subscriptions, with pricing varying according to selected features, scale, and support requirements. Custom enterprise agreements are available for larger deployments.

Overall experience with IBM watsonx

LEAD
1B - 3B USD, Software
FAVORABLE

“A bit slow but accurate at least!”

4.0
Aug 31, 2023
Watson loads a bit slower than I would have liked to see. It grows its capabilities.
IT Associate
50M - 250M USD, IT Services
CRITICAL

“Impact of Simple Solutions on High-end Problems with Product”

3.0
Jul 19, 2024
It's an average service that requires a lot of work whenever a complex problems comes around

Badges

Gartner Peer Insights recognizes vendors who meet or exceed both the market average Overall Experience and the market average User Interest and Adoption score through a Customers’ Choice distinction.
2025
For Market:
AI in CSP Customer and Business Operations

About Company

Company Description

Updated 15th January 2024

IBM is a well-established entity focused on technology and development. The primary mission revolves around fostering technological growth and enhancing infrastructure, achieved through focused developments and consulting services. By encouraging inventiveness and innovation, it is geared towards facilitating the transition of theoretical ideas into practical realities, thus improving global functionalities. IBM brings about transformation by creating advanced solutions that reshape and redefine the world.

Company Details

Updated 15th January 2024
Company type
Public
Year Founded
1911
Head office location
Armonk, New York, United States
Number of employees
10001+
Annual Revenue
30B+ USD
Website
http://www.ibm.com

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Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

Reviewer Insights for: IBM watsonx
Performance of IBM watsonx Across Market Features

IBM watsonx Likes & Dislikes

Like

- Data warehouse - Easy to use - Code assistant

Like

Can solve simple problems with simple solution

Dislike

- Slowness in loading large data - A bit confusing with verbiage - Need trainings on many capabilities

Dislike

The UX is lacking

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Peer Discussions

What Your Peers Are Saying About IBM watsonx

HR Manager
What do you think about IBM Watsonx Orchestrate used for Talent Management processes? Is it better than implementing an all - in - one Suite? What are the alternatives?
HR Manager
Unfortunately, I have never used it.  I have used SAP SuccessFactors for Talent Management and bonus and it worked well.
See Full Discussion
14 Mar 2025867 Views1 Comment
Engineering Manager
Which Data Lakehouse platform or product would be better for the Data hub Architecture implementation? Looking forward to the comparative analysis of the key vendors, especially the MS Fabric (OneLake), IBM (WatsonX stack), SAP (if they have this capability)?  Any thoughts or recommendations, based on your Org experience would be appreciated.
Chief Data Officer
I think you must consider Databricks Lakehouse, MS Fabric and Snowflake Lakehouse Architectures.  With the recent advancements in storage and compute technologies, Lakehouse is a destination to be. The recommendations highly depends on the use cases problem you are trying to solve at your organization.  Which problem has a higher priority to be solved! 
See Full Discussion
23 Jan 20251.7k Views2 Comments

IBM watsonx Reviews and Ratings

Showing data for 2 ratings and reviews for Generative AI Engineering market. View all 207 ratings and reviews across markets for a complete picture.

3.3

(2 Ratings)

Rating Distribution

5 Star
0%
4 Star
50%
3 Star
50%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?

Customer Experience

Evaluation & Contracting

3.0

Integration & Deployment

3.0

Service & Support

3.5

Product Capabilities

3.5

Filter Reviews
Sort By:
Most helpful
Last 12 Months
Star Rating
Reviewer Type
Reviewer's Company Size
Reviewer's Industry
Reviewer's Region
Reviewer's Job Function
  • IT Associate
    50M-1B USD
    IT Services
    Review Source

    Impact of Simple Solutions on High-end Problems with Product

    3.0
    Jul 19, 2024
    It's an average service that requires a lot of work whenever a complex problems comes around
  • LEAD
    1B-10B USD
    Software
    Review Source

    A bit slow but accurate at least!

    4.0
    Aug 31, 2023
    Watson loads a bit slower than I would have liked to see. It grows its capabilities.
Showing Result 1-2 of 2

Recommended Gartner Research

  • Market Guide for Generative AI Engineering

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