“The number of knowledge workers worldwide is increasing, and will exceed 1.1 billion by 2023”, according to Gartner

In an increasingly complex digital workplace, it is essential for employees to operate in context, harness tribal knowledge and increase their effectiveness via the proactive delivery of insight. By 2023, more than one third of knowledge workers worldwide will use insight engines – double the number using them in 2018.

AI has transformed the digital workplace, enabling employees to extract accurate and deep understanding from varied content sources and gain insights from ever-increasing amounts of data. However, Insight Engines have expanded the traditional delivery of search into additional applications such as digital commerce.

Gartner recently published an important piece of research – the October 2019 Gartner Critical Capabilities for Insight Engines. Gartner Critical Capabilities research complements the Gartner Magic Quadrant by providing deeper insight into the vendors’ product or service offerings by identifying which ones best fit various use cases. As companion research, Magic Quadrants and Critical Capabilities offer a market and product/service view that provides powerful insight to organizations making major technology decisions.

The Gartner Critical Capabilities report evaluated 15 Insight Engine vendors across 11 capabilities and scored  them in four separate use cases. After conducting this analysis, Gartner scored Lucidworks Fusion the highest scoring product in three of four use cases. These use cases include:

External (website) Search: This use case covers “site search within and across the enterprise’s public-facing and multichannel digital presence.”*

Insight Applications: This use case refers to “delivery of insight to digital workers within the context of custom-made or third-party applications.”*

Data Extraction for Analytics: By 2020, 50% of analytical queries either will be generated via search, natural language processing or voice, or will be automatically generated2. “This use case involves deriving data from indexed content for the purposes of analysis and reporting, either within the insight engine or via syndication to other applications.”*

Internal Search: This use case covers “enterprise-wide search within the digital workplace.”*

Thirty-four of the Fortune 100 rely on Fusion, Lucidworks flagship product, to improve insight discovery to enable the digital workplace, or to provide their ecommerce customers with a better online experience. Lucidworks customers include: Verizon, Lenovo, Red Hat, Reddit, Uber and the US Census.

A complimentary copy of Gartner Critical Capabilities  for Insight Engines research report is available here. We hope it provides valuable context into the landscape of this important and growing market.

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*Gartner Critical Capabilities for Insight Engines, Stephen Emmott, Saniye Alaybeyi, Anthony Mullen, 20 November 2019

Gartner Magic Quadrant for Insight Engines, Stephen Emmott, Saniye Alaybeyi, Anthony Mullen, 17 September 2019

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Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.


Forecast Analysis: Insight Engines, Worldwide  24 September 2019, Craig RothHai SwinehartStephen Emmott

2 Magic Quadrant for Insight Engines, 17 September 2019