Global Knowledge Graphs As a Service Market Growth (Status and Outlook) 2023-2029

Global Knowledge Graphs As a Service Market Growth (Status and Outlook) 2023-2029

The global Knowledge Graphs As a Service market size is projected to grow from US$ million in 2022 to US$ million in 2029; it is expected to grow at a CAGR of % from 2023 to 2029.

United States market for Knowledge Graphs As a Service is estimated to increase from US$ million in 2022 to US$ million by 2029, at a CAGR of % from 2023 through 2029.

China market for Knowledge Graphs As a Service is estimated to increase from US$ million in 2022 to US$ million by 2029, at a CAGR of % from 2023 through 2029.

Europe market for Knowledge Graphs As a Service is estimated to increase from US$ million in 2022 to US$ million by 2029, at a CAGR of % from 2023 through 2029.

Global key Knowledge Graphs As a Service players cover IBM, Amazon Neptune, Stardog, Google Cloud, Neo4j, Memgraph, Baidu, Inc., Facebook Inc and Microsoft Corporation, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2022.

Knowledge Graphs as a Service (KGaaS) refers to a cloud-based service that provides a platform for creating, managing, and querying knowledge graphs. A knowledge graph is a structured representation of knowledge that captures relationships between entities, concepts, and attributes. KGaaS offers a convenient and scalable solution for organizations to leverage the power of knowledge graphs without the need to set up and maintain their infrastructure.

LPI (LP Information)' newest research report, the “Knowledge Graphs As a Service Industry Forecast” looks at past sales and reviews total world Knowledge Graphs As a Service sales in 2022, providing a comprehensive analysis by region and market sector of projected Knowledge Graphs As a Service sales for 2023 through 2029. With Knowledge Graphs As a Service sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Knowledge Graphs As a Service industry.

This Insight Report provides a comprehensive analysis of the global Knowledge Graphs As a Service landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on Knowledge Graphs As a Service portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Knowledge Graphs As a Service market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Knowledge Graphs As a Service and breaks down the forecast by type, by application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Knowledge Graphs As a Service.

This report presents a comprehensive overview, market shares, and growth opportunities of Knowledge Graphs As a Service market by product type, application, key players and key regions and countries.

Market Segmentation:

Segmentation by type
Link Prediction
Entity Resolution
Link-based Clustering

Segmentation by application
BFSI
Healthcare
Retail and E-commerce
Government
Others

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
IBM
Amazon Neptune
Stardog
Google Cloud
Neo4j
Memgraph
Baidu, Inc.
Facebook Inc
Microsoft Corporation
Mitsubishi Electric Corporation
NELL
Semantic Web Company
YAGO
Yandex

Please note: The report will take approximately 2 business days to prepare and deliver.