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Knowledge Graph Market worth $3.19 billion by 2030, growing at a CAGR of 17.07% - Exclusive Report by 360iResearch
Knowledge Graph Market | 360iResearch
The Global Knowledge Graph Market to grow from USD 1.05 billion in 2023 to USD 3.19 billion by 2030, at a CAGR of 17.07%.
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A knowledge graph is a structured model of knowledge that incorporates entities, relationships, and attributes to create a semantic network. It is a way to organize and connect information in a manner easily computable and understandable by machines. Knowledge graphs play a crucial role in representing and organizing knowledge in a way that allows for efficient data retrieval, reasoning, and analysis. Factors influencing the market's growth entail increased demand for advanced analytics tools and soaring data generation. The rise is further driven by the growing need for businesses to offer improved customer satisfaction, seamless communication, and knowledge sharing. However, a lack of understanding about the benefits of knowledge graphs, the necessity for technically skilled professionals, and privacy concerns further hamper the market adoption. The emergence of powerful data management, integration, and analytics strategies offers great potential opportunities.
The Americas have a significant landscape in the knowledge graph market owing to the region evinces substantial advancements in technology and strong consumer purchasing power. Firms have been engaging in research and development initiatives, confirmed by a surge in new patents in emerging technologies. In the EMEA region, Europe is the hub for major developments in the knowledge graph market. Several European Union directives encourage the use of knowledge graph technology for compliance with data privacy. Meanwhile, the Middle East and Africa, while still nascent in the knowledge graph market, show promising growth potential owing to the digital transformation initiatives and burgeoning tech startup culture, particularly in countries. The APAC region is rapidly emerging as a formidable player in the knowledge graph market, fueled by expansive technological advancements and swift digitalization across major economies. Countries are capitalizing on technology to strengthen data management in e-commerce, healthcare, and telecommunications industries. Moreover, robust support from governments to foster innovation and drive digital transformation bolstered this region's knowledge graph market growth.
Market Segmentation & Coverage:
This research report categorizes the Knowledge Graph Market in order to forecast the revenues and analyze trends in each of following sub-markets:
Based on Offering, market is studied across Services and Solutions. The Services is further studied across Managed Services and Professional Services. The Services is projected to witness significant market share during forecast period.
Based on Type, market is studied across Context-rich Knowledge Graphs, External-sensing Knowledge Graphs, and NLP Knowledge Graphs. The NLP Knowledge Graphs is projected to witness significant market share during forecast period.
Based on Model Type, market is studied across Conceptual Graph, RDF Graph, and Semantic Graph. The Semantic Graph is projected to witness significant market share during forecast period.
Based on Data Source, market is studied across Semi-structured Data, Structured Data, and Unstructured Data. The Structured Data is projected to witness significant market share during forecast period.
Based on Application, market is studied across Enterprise Knowledge Management, Question Answering, Recommendation Systems, and Semantic Search. The Semantic Search is projected to witness significant market share during forecast period.
Based on Vertical, market is studied across BFSI, Healthcare, IT & ITES, Media & Entertainment, Retail & E-commerce, Transportation & Logistics, and Travel & Hospitality. The IT & ITES is projected to witness significant market share during forecast period.
Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom. The Americas commanded largest market share of 36.42% in 2023, followed by Europe, Middle East & Africa.
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FPNV Positioning Matrix:
The FPNV Positioning Matrix is essential for assessing the Knowledge Graph Market. It provides a comprehensive evaluation of vendors by examining key metrics within Business Strategy and Product Satisfaction, allowing users to make informed decisions based on their specific needs. This advanced analysis then organizes these vendors into four distinct quadrants, which represent varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital(V).
Market Share Analysis:
The Market Share Analysis offers an insightful look at the current state of vendors in the Knowledge Graph Market. By comparing vendor contributions to overall revenue, customer base, and other key metrics, we can give companies a greater understanding of their performance and what they are up against when competing for market share. The analysis also sheds light on just how competitive any given sector is about accumulation, fragmentation dominance, and amalgamation traits over the base year period studied.
Key Company Profiles:
The report delves into recent significant developments in the Knowledge Graph Market, highlighting leading vendors and their innovative profiles. These include AllegroGraph by Franz Inc., Amazon Web Services, Inc., ArangoDB, Cambridge Semantics, Inc., Datavid Limited, Diffbot Technologies Corp., Fluree, Franz Inc., Google LLC by Alphabet Inc., International Business Machines Corporation, Microsoft Corporation, Mitsubishi Electric Corporation, Neo4j, Inc., Ontotext, Oracle Corporation, SciBite Limited, Semantic Web Company, Stardog Union, TIBCO by Cloud Software Group, Inc., TigerGraph, Inc., XenonStack Pvt. Ltd., and Yext, Inc..
Key Topics Covered:
1. Preface
2. Research Methodology
3. Executive Summary
4. Market Overview
5. Market Insights
6. Knowledge Graph Market, by Offering
7. Knowledge Graph Market, by Type
8. Knowledge Graph Market, by Model Type
9. Knowledge Graph Market, by Data Source
10. Knowledge Graph Market, by Application
11. Knowledge Graph Market, by Vertical
12. Americas Knowledge Graph Market
13. Asia-Pacific Knowledge Graph Market
14. Europe, Middle East & Africa Knowledge Graph Market
15. Competitive Landscape
16. Competitive Portfolio
The report provides insights on the following pointers:
1. Market Penetration: Provides comprehensive information on the market offered by the key players
2. Market Development: Provides in-depth information about lucrative emerging markets and analyzes penetration across mature segments of the markets
3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments
4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players
5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and breakthrough product developments
The report answers questions such as:
1. What is the market size and forecast of the Knowledge Graph Market?
2. Which are the products/segments/applications/areas to invest in over the forecast period in the Knowledge Graph Market?
3. What is the competitive strategic window for opportunities in the Knowledge Graph Market?
4. What are the technology trends and regulatory frameworks in the Knowledge Graph Market?
5. What is the market share of the leading vendors in the Knowledge Graph Market?
6. What modes and strategic moves are considered suitable for entering the Knowledge Graph Market?
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