Semantic Knowledge Graphing Market Poised for 12.7 % Growth, Set to Hit $24.99 Billion by 2029

What combination of drivers is leading to accelerated growth in the semantic knowledge graphing market?
The rising demand for organized data is anticipated to fuel the progression of the semantic knowledge graphing market in the future. Organized data is data that is systematically arranged and presented, making it readily recognizable and searchable by computer systems. The semantic knowledge graphing enhances the usability and worth of such organized data by providing a meaningful structure for categorizing and linking information. For example, as per a survey by Komprise, a US-based data management firm, 87% of IT chiefs labeled the handling of unstructured data expansion as a crucial objective in 2022, a rise from 70% in 2021. As such, the increased demand for organized data is propelling the expansion of the semantic knowledge graphing market.

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What is the projected compound annual growth rate (CAGR) of the semantic knowledge graphing market from 2025 to 2034, and what factors influence it?
The market size for semantic knowledge graphing has been expanding swiftly over the last few years. The market value is projected to escalate from $1.49 billion in 2024 to $1.71 billion in 2025, boasting a compound annual growth rate (CAGR) of 15.3%. The significant rise in historical times can be attributed to the escalating demand for interconnectivity, a growing requirement for systematized data, a surge in internet user numbers, increased requirement for semantic knowledge graphing in the healthcare industry, in addition to its growing demand in the e-commerce and manufacturing sectors.

The market for semantic knowledge graphing is anticipated to experience a surge in the coming years, predicted to reach $2.77 billion in 2029 with a CAGR of 12.7%. This expansion during the forecasted period can be linked to the escalating use of machine learning and natural language processing, the growing necessity for data analytics and integration, the surge in data volume on the internet, the increasing adoption of knowledge graphs for efficient knowledge base search, progress in addressing data access and availability issues, shifts in consumer expectations, and the rising demand for 5g technology in developing economies. The forecast period will also see significant trends including advancements in technology, innovative solutions, markers of innovation and excellence, business collaboration and partnerships, and integration with different technologies.

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How are the latest trends influencing the growth of the semantic knowledge graphing market?
Key players in the semantic knowledge graphing market, such as Amazon Neptune, are creating pioneering products that can systematically link and organize both structured and non-structured data. Amazon Neptune is a unique graph database service, designed to store and process expansive interconnected datasets. For example, in October 2022, the American cloud computing firm, Amazon Web Services (AWS), unveiled Amazon Neptune, a purpose-built graph database engine specifically designed for storing billions of relationships and for querying the graph. This service uses semantic technologies to facilitate efficient data analysis and querying, simplifying the process of creating and operating applications that deal with highly interconnected data.

What are the major segments of the semantic knowledge graphing market and their role in driving growth?
The semantic knowledge graphing market covered in this report is segmented -

1) By Knowledge Graph Type: Context-Rich Knowledge Graphs, External-Sensing Knowledge Graphs, Natural Language Processing (NLP) Knowledge Graphs
2) By Data Source: Structured, Unstructured, Semi-Structured
3) By Task Type: Link Prediction, Entity Resolution, Link-Based Clustering
4) By Application: Semantic Search, Question And Answer (Qna) Machines, Information Retrieval, Electronic Reading, Other Applications
5) By End-User: Banking, Financial Services And Insurance (BFSI), Healthcare, Manufacturing

Subsegments:
1) By Context-Rich Knowledge Graphs, Domain-Specific Knowledge Graphs, Enterprise Knowledge Graphs
2) By External-Sensing Knowledge Graphs: IoT-Integrated Knowledge Graphs, Sensor Data-Driven Knowledge Graphs
3) By Natural Language Processing (NLP) Knowledge Graphs: Textual Knowledge Extraction Graphs, Semantic Relationship Graphs

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North America was the largest region in the semantic knowledge graphing market in 2024. The regions covered in the semantic knowledge graphing market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

Who are the key firms paving the way for growth in the semantic knowledge graphing market?
Major companies operating in the semantic knowledge graphing market report are Amazon.com Inc., Google LLC, Microsoft Corporation, Facebook Inc., The International Business Machines Corporation, Oracle Corporation, Mitsubishi Electric Corporation, SAP SE, Thales Group, Baidu Inc., LinkedIn Corporation, Wipro Limited, Yandex N.V., OpenLink Software, Neo4j, MarkLogic, Bitnine, Datavid, Ontotext, Stardog Union, TopQuadrant, GraphAware, Cambridge Semantics, Memgraph, Franz Inc.

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What Is Covered In The Semantic Knowledge Graphing Global Market Report?

•Market Size Forecast: Examine the semantic knowledge graphing market size across key regions, countries, product categories, and applications.
•Segmentation Insights: Identify and classify subsegments within the semantic knowledge graphing market for a structured understanding.
•Key Players Overview: Analyze major players in the semantic knowledge graphing market, including their market value, share, and competitive positioning.
•Growth Trends Exploration: Assess individual growth patterns and future opportunities in the semantic knowledge graphing market.
•Segment Contributions: Evaluate how different segments drive overall growth in the semantic knowledge graphing market.
•Growth Factors: Highlight key drivers and opportunities influencing the expansion of the semantic knowledge graphing market.
•Industry Challenges: Identify potential risks and obstacles affecting the semantic knowledge graphing market.
•Competitive Landscape: Review strategic developments in the semantic knowledge graphing market, including expansions, agreements, and new product launches.

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