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全球知識圖譜市場：按產品、按資料來源、按行業、按模型類型、按應用、按類型、按地區 - 預測到 2028 年
市場調查報告書
商品編碼
1374765

全球知識圖譜市場：按產品、按資料來源、按行業、按模型類型、按應用、按類型、按地區 - 預測到 2028 年

Knowledge Graph Market by Offering (Solutions, Services), By Data Source (Structured, Unstructured, Semi-structured), Industry (BFSI, IT & ITeS, Telecom, Healthcare), Model Type, Application, Type and Region - Global Forecast to 2028
出版日期: | 出版商: MarketsandMarkets | 英文 233 Pages | 訂單完成後即時交付

價格
簡介目錄
調查範圍
調查年份 2018-2028
基準年 2022年
預測期 2023-2028
考慮單位 金額（百萬美元/十億美元）
部分 按產品、按模型類型、按資料來源、按應用程式、按類型、按行業、按地區
目標區域 北美、歐洲、亞太地區、中東/非洲、拉丁美洲

全球知識圖譜市場規模預計將從 2023 年的 9 億美元成長到 2028 年的 24 億美元，預測期內年複合成長率為 21.8%。

組織越來越關注知識發現和管理，以改善決策流程並獲得可行的見解。知識圖有助於組織複雜的資訊並從結構化和非結構化資料中提取有價值的知識，有助於做出更資訊的決策。

IT/ITeS 領域的知識圖譜市場正在擴大，預計在未來年度將發生重大變化，證明了市場在資料管理和知識表示方面的重要作用。知識圖對於整合不同的資料並促進電子商務、醫​​療保健和金融等不同行業的資訊決策至關重要。這些圖表進一步增強了搜尋引擎和建議系統，為使用者提供更準確和客製化的結果。與人工智慧系統和語義技術的整合可以更好地理解複雜的關係和情況。

知識圖譜市場對非結構化資料來源的日益關注導致了資料豐富、上下文理解和語義分析方面的重大研究進展。透過應用先進的自然語言處理演算法，企業可以從各種非結構化資料來源（包括文字內容、社群媒體來源和客戶評論）中獲得重要的見解。知識圖譜憑藉其豐富的資料，可以提供對不同領域更深入、更整合的理解，從而獲得更準確的見解和量身定做的提案。

由於其動態的技術環境和不斷增加的資料複雜性，亞太地區成為知識圖譜快速普及的溫床。隨著對資料主導決策的重視以及對個人化客戶體驗的日益成長的需求，企業正在轉向知識圖譜作為管理和分析不同來源的複雜資料集的解決方案。政府支持技術進步的配合措施進一步推動了知識圖譜市場的成長，促進創新和經濟發展。隨著該地區繼續投資最尖端科技，知識圖譜在簡化資料管理和促進富有洞察力的決策方面的潛力仍然是各行業企業和組織的重點關注點。

這份報告檢視了全球知識圖譜市場，包括按產品、模型類型、資料來源、產業、模型類型、應用程式、類型、地區和參與市場的公司概況分類的趨勢，我對此進行了總結。

目錄

第1章 簡介

第2章 調查方法

第3章 執行摘要

第4章 重要考察

第5章 市場概況及產業趨勢

  • 市場概況
  • 市場動態
  • 產業趨勢
  • 法規影響
  • 知識圖譜市場最佳實踐
  • 知識圖譜對相鄰技術的影響

第6章 知識圖市場，依產品分類

  • 介紹
  • 解決方案
  • 服務

第7章 知識圖市場，依模型類型

  • 介紹
  • RDF圖
  • 概念圖
  • 語意圖

第8章 知識圖譜市場（依資料來源）

  • 介紹
  • 結構化資料
  • 非結構化資料
  • 半結構化資料

第9章 知識圖市場，依應用分類

  • 介紹
  • 語意搜尋
  • 問答環節
  • 推薦系​​統
  • 企業知識管理
  • 其他

第10章 知識圖市場，依類型

  • 介紹
  • 上下文豐富的知識圖譜
  • 外部感測圖譜
  • NLP知識圖譜

第11章知識圖譜市場（按行業）

  • 介紹
  • BFSI
  • 零售/電子商務
  • 製造/汽車
  • IT,ITES
  • 通訊
  • 媒體娛樂
  • 衛生保健
  • 政府
  • 其他

第12章知識圖譜市場，依地區

  • 介紹
  • 北美洲
  • 歐洲
  • 亞太地區
  • 中東/非洲
  • 拉丁美洲

第13章競爭形勢

  • 概述
  • 主要參與企業所採取的策略
  • 競爭場景
  • 市場佔有率分析
  • 過去的收益分析
  • 2023年知識圖譜市場主要企業排名
  • 企業評估矩陣調查方法
  • 新創企業/中小企業評估調查方法的方法論和定義
  • 企業足跡
  • 競爭基準化分析
  • 競爭場景
  • 產品基準評效
  • 主要知識圖譜供應商的評級和財務指標

第14章公司簡介

  • 主要參與企業
    • IBM
    • MICROSOFT
    • AWS
    • NEO4J
    • TIGERGRAPH
    • SAP
    • ORACLE
    • STARDOG
    • FRANZ INC.
    • ONTOTEXT
    • SEMANTIC WEB COMPANY
    • OPENLINK SOFTWARE
    • MARKLOGIC
  • 其他公司/新創公司
    • DATAVID
    • GRAPHBASE
    • CAMBRIDGE SEMANTICS
    • CONVERSIGHT
    • ECCENA
    • ARANGODB
    • FLUREE
    • DIFFBOT
    • BITNINE
    • MEMGRAPH
    • GRAPHAWARE
    • ONLIM

第15章相鄰/相關市場

第16章附錄

簡介目錄
Product Code: TC 8832

Report Description

Scope of the Report
Years Considered for the Study2018-2028
Base Year2022
Forecast Period2023-2028
Units ConsideredValue (USD Million/ Billion)
SegmentsBy offering, model type, data source, application, type, vertical and region.
Regions coveredNorth America, Europe, Asia Pacific, Middle East & Africa, Latin America

MarketsandMarkets forecasts that the knowledge graph market size is projected to grow from USD 0.9 billion in 2023 to USD 2.4 billion by 2028, at a CAGR of 21.8% during the forecast period. Organizations increasingly focus on knowledge discovery and management to improve decision-making processes and gain actionable insights. Knowledge graphs help organize complex information and extract valuable knowledge from structured and unstructured data, contributing to more informed decision-making.

"By vertical, the IT & ITeS segment is expected to grow with the highest CAGR during the forecast period."

The market for knowledge graphs in the IT & ITeS sector has expanded and is expected to change significantly in the coming years, demonstrating the market's critical role in data management and knowledge representation. Knowledge graphs are essential for integrating diverse data and facilitating well-informed decision-making in various industries, including e-commerce, healthcare, finance, and others. These graphs have further strengthened search engines and recommendation systems, giving users more accurate and customized results. Thanks to integration with AI systems and semantic technologies, they can now comprehend complicated relationships and situations much better.

"By data source, the unstructured data segment is expected to hold the largest market size during the forecast period."

Research in data enrichment, contextual understanding, and semantic analysis has advanced significantly as a result of the knowledge graph market's increasing focus on unstructured data sources. Through the application of advanced natural language processing algorithms, enterprises can obtain significant insights from a variety of unstructured data sources, such as textual content, social media feeds, and customer reviews. Because of the abundance of rich data, the knowledge graph can provide a more thorough and integrated understanding of different disciplines, leading to more precise insights and customized suggestions.

"Asia Pacific is expected to grow with the highest CAGR during the forecast period."

The Asia Pacific region has become a hotbed for the rapid adoption of knowledge graphs, owing to its dynamic technological landscape and the increasing complexity of data. With a strong emphasis on data-driven decision-making and a burgeoning need for personalized customer experiences, businesses have turned to knowledge graphs as a solution to manage and analyze intricate datasets from diverse sources. Government initiatives supporting technological advancements have further fueled the growth of the knowledge graph market, facilitating innovation and economic development. As the region continues to invest in cutting-edge technologies, the potential for knowledge graphs to streamline data management and drive insightful decision-making remains a key focal point for businesses and organizations across various sectors.

Breakdown of primaries

The study contains insights from various industry experts, from solution vendors to Tier 1 companies. The break-up of the primaries is as follows:

  • By Company: Tier 1-20%, Tier 2-25%, and Tier 3-55%
  • By Designation: C-Level Executives-40%, Director Level-33%, and Others-27%
  • By Region: North America-32%, Europe-38%, APAC-18%, RoW-12%

The major players in the Knowledge graph market IBM (US), Microsoft (US), AWS (US), Neo4j (US), TigerGraph (US), SAP (Germany), Oracle (US), Stardog (US), Franz Inc (US), Ontotext (Bulgaria), Semantic Web Company (Austria), OpenLink Software (US), MarkLogic (US), Datavid (UK), GraphBase (Australia), Cambridge Semantics (US), CoverSight (US), Eccena Gmbh (Germany), ArangoDB (US), Fluree (US), DiffBot (US), Bitnine (US), Memgraph (England), GraphAware (UK), Onlim (Austria). These players have adopted various growth strategies, such as partnerships, agreements and collaborations, new product launches, product enhancements, and acquisitions to expand their footprint in the knowledge graph market.

Research Coverage

The report segments the global Knowledge graph market by offering into two categories: solutions and services. By model type, the knowledge graph market is divided into four categories: RDF graph, conceptual graph, and semantic graph. By data source, the knowledge graph market is divided into three major categories: structured data, unstructured data, and semi-structured data. By application, the knowledge graph market has been classified into semantic search, question answering, recommendation systems, enterprise knowledge management, and other applications. By type, the knowledge graph market is divided into three categories: context-rich knowledge graphs, external-sensing knowledge graphs, and NLP knowledge graphs. By vertical, the knowledge graph market has been classified into BFSI, retail & e-commerce, manufacturing & automotive, IT and ITES, telecom, media and entertainment, healthcare, government, and other verticals (education, research, and real estate). By region, the market has been segmented into North America, Europe, Asia Pacific, Middle East & Africa, and Latin America.

Key benefits of the report

The report would help the market leaders/new entrants with information on the closest approximations of the revenue numbers for the overall knowledge graph market and the subsegments. This report would help stakeholders understand the competitive landscape and gain insights to position their businesses better and plan suitable go-to-market strategies. The report would help stakeholders understand the market's pulse and provide them with information on the key market drivers, restraints, challenges, and opportunities.

The report provides insights on the following pointers:

Analysis of key drivers (Rapid growth in data volume and complexity, AI and ML to drive market growth, Semantic web and linked data initiatives to boost the market), restraints (Cost of development and maintenance), opportunities (NLP to boost knowledge graph market, increasing adoption in healthcare and life sciences), and challenges (Data quality and integration, Scalability) influencing the growth of the knowledge graph market.

  • Product Development/Innovation: Detailed insights on upcoming technologies, research and development activities, and new product and service launches in the knowledge graph market.
  • Market Development: Comprehensive information about lucrative markets - the report analyses the knowledge graph market across varied regions.
  • Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the knowledge graph market.

Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players IBM (US), Microsoft (US), AWS (US), Neo4j (US), TigerGraph (US), SAP (Germany), Oracle (US), Stardog (US), Franz Inc (US), Ontotext (Bulgaria), Semantic Web Company (Austria), OpenLink Software (US), MarkLogic (US), Datavid (UK), GraphBase (Australia), Cambridge Semantics (US), CoverSight (US), Eccena Gmbh (Germany), ArangoDB (US), Fluree (US), DiffBot (US), Bitnine (US), Memgraph (England), GraphAware (UK), Onlim (Austria).

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 STUDY OBJECTIVES
  • 1.2 MARKET DEFINITION
    • 1.2.1 INCLUSIONS AND EXCLUSIONS
  • 1.3 MARKET SCOPE
    • 1.3.1 MARKET SEGMENTATION
    • 1.3.2 REGIONS COVERED
    • 1.3.3 YEARS CONSIDERED
  • 1.4 CURRENCY CONSIDERED
    • TABLE 1 USD EXCHANGE RATES, 2020-2022
  • 1.5 STAKEHOLDERS
  • 1.6 RECESSION IMPACT

2 RESEARCH METHODOLOGY

  • 2.1 RESEARCH DATA
    • FIGURE 1 KNOWLEDGE GRAPH MARKET: RESEARCH DESIGN
    • 2.1.1 SECONDARY DATA
    • 2.1.2 PRIMARY DATA
      • 2.1.2.1 Breakdown of primaries
    • TABLE 2 PRIMARY INTERVIEWS
      • 2.1.2.2 Key industry insights
  • 2.2 DATA TRIANGULATION
    • FIGURE 2 DATA TRIANGULATION
  • 2.3 MARKET SIZE ESTIMATION
    • FIGURE 3 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1 (SUPPLY-SIDE): REVENUE OF OFFERINGS IN KNOWLEDGE GRAPH MARKET
    • FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 2 (DEMAND-SIDE): KNOWLEDGE GRAPH MARKET
    • 2.3.1 BOTTOM-UP APPROACH
    • FIGURE 5 BOTTOM-UP APPROACH
    • FIGURE 6 MARKET SIZE ESTIMATION USING BOTTOM-UP APPROACH
    • 2.3.2 TOP-DOWN APPROACH
    • FIGURE 7 TOP-DOWN APPROACH
  • 2.4 MARKET FORECAST
    • TABLE 3 FACTOR ANALYSIS
  • 2.5 RESEARCH ASSUMPTIONS
  • 2.6 LIMITATIONS
  • 2.7 IMPACT OF RECESSION ON KNOWLEDGE GRAPH MARKET

3 EXECUTIVE SUMMARY

    • FIGURE 8 KNOWLEDGE GRAPH MARKET, 2021-2028 (USD MILLION)
    • FIGURE 9 KNOWLEDGE GRAPH MARKET: REGIONAL SHARE, 2023
    • FIGURE 10 ASIA PACIFIC EXPECTED TO BE BEST MARKET FOR INVESTMENTS DURING FORECAST PERIOD

4 PREMIUM INSIGHTS

  • 4.1 BRIEF OVERVIEW OF KNOWLEDGE GRAPH MARKET
    • FIGURE 11 USE OF NATURAL LANGUAGE PROCESSING IN KNOWLEDGE GRAPHS TO ACT AS OPPORTUNITY IN MARKET
  • 4.2 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY OFFERING AND TOP THREE VERTICALS
    • FIGURE 12 SOLUTIONS AND BFSI TO ACCOUNT FOR SIGNIFICANT SHARES OF MARKET IN NORTH AMERICA
  • 4.3 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY OFFERING AND TOP THREE COUNTRIES
    • FIGURE 13 SOLUTIONS AND CHINA TO ACCOUNT FOR SIGNIFICANT SHARES OF ASIA PACIFIC MARKET
  • 4.4 KNOWLEDGE GRAPH MARKET, BY TYPE
    • FIGURE 14 CONTENT-RICH KNOWLEDGE GRAPHS TO HOLD LARGER MARKET SHARE IN 2023
  • 4.5 KNOWLEDGE GRAPH MARKET, BY APPLICATION
    • FIGURE 15 SEMANTIC SEARCH SEGMENT TO HOLD LARGER MARKET SHARE IN 2023
  • 4.6 KNOWLEDGE GRAPH MARKET, BY DATA SOURCE
    • FIGURE 16 UNSTRUCTURED DATA SEGMENT TO HOLD LARGER MARKET SHARE IN 2023
  • 4.7 KNOWLEDGE GRAPH MARKET, BY MODEL TYPE
    • FIGURE 17 SEMANTIC GRAPH SEGMENT TO HOLD LARGER MARKET SHARE IN 2023

5 MARKET OVERVIEW AND INDUSTRY TRENDS

  • 5.1 MARKET OVERVIEW
  • 5.2 MARKET DYNAMICS
    • FIGURE 18 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: KNOWLEDGE GRAPH MARKET
    • 5.2.1 DRIVERS
      • 5.2.1.1 Rapid growth in data volume and complexity
      • 5.2.1.2 Advanced AI & ML algorithms and vast amount of generated data
      • 5.2.1.3 Semantic web and linked data initiatives
    • 5.2.2 RESTRAINTS
      • 5.2.2.1 Significant costs for development and maintenance
    • 5.2.3 OPPORTUNITIES
      • 5.2.3.1 Integration of NLP techniques into knowledge graph market to help data enrichment and enhance user experiences
      • 5.2.3.2 Increasing adoption in healthcare and life sciences
    • 5.2.4 CHALLENGES
      • 5.2.4.1 Data quality and integration
      • 5.2.4.2 Scalability
  • 5.3 INDUSTRY TRENDS
  • 5.4 REGULATORY IMPLICATIONS
    • 5.4.1 GENERAL DATA PROTECTION REGULATION
    • 5.4.2 INTERNATIONAL ORGANIZATION FOR STANDARDIZATION 27001
    • 5.4.3 EU DATA GOVERNANCE ACT
    • 5.4.4 HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT OF 1996
    • 5.4.5 BASEL COMMITTEE ON BANKING SUPERVISION 239 COMPLIANCE
    • 5.4.6 SARBANES-OXLEY ACT OF 2002
  • 5.5 BEST PRACTICES IN KNOWLEDGE GRAPH MARKET
    • 5.5.1 VALUE CHAIN ANALYSIS
    • FIGURE 19 KNOWLEDGE GRAPH MARKET: VALUE CHAIN ANALYSIS
    • 5.5.2 BRIEF HISTORY OF KNOWLEDGE GRAPH MARKET
    • FIGURE 20 BRIEF HISTORY OF KNOWLEDGE GRAPH
      • 5.5.2.1 2000-2010
      • 5.5.2.2 2010-2020
      • 5.5.2.3 2020-Present
    • 5.5.3 ECOSYSTEM
    • FIGURE 21 KNOWLEDGE GRAPH ECOSYSTEM
    • TABLE 4 KNOWLEDGE GRAPH MARKET: ECOSYSTEM
    • 5.5.4 PATENT ANALYSIS
      • 5.5.4.1 Methodology
      • 5.5.4.2 Document type
    • TABLE 5 PATENTS FILED, 2020-2023
      • 5.5.4.3 Innovation and patent applications
    • FIGURE 22 TOTAL NUMBER OF PATENTS GRANTED, 2020-2023
      • 5.5.4.4 Top applicants
    • FIGURE 23 TOP TEN PATENT APPLICANTS, 2020-2023
    • 5.5.5 USE CASES
    • TABLE 6 KERBEROS PREVENTED MONEY LAUNDERING AND DEVELOPED COMPLIANCE MANAGEMENT APPLICATION FOR RISK MANAGEMENT WITH NEO4J
    • TABLE 7 YAHOO7 REPRESENTED CONTENT WITHIN KNOWLEDGE GRAPH WITH ASSISTANCE OF BLAZEGRAPH
    • TABLE 8 NEO4J ENABLED AND VISUALIZED CONNECTIONS BETWEEN ELEMENTS OF PANAMA PAPERS LEAKS
    • TABLE 9 GRAPH TECHNOLOGY HELPED US ARMY BY TRACKING AND ANALYZING EQUIPMENT MAINTENANCE AFTER EMPLOYING NEO4J
    • TABLE 10 THE DATABASE GROUP HELPED SPRINGERMATERIALS ACCELERATE RESEARCH WITH SEMANTIC SEARCH
    • 5.5.6 PRICING ANALYSIS
      • 5.5.6.1 Average selling price of key players
    • TABLE 11 PRICING ANALYSIS
      • 5.5.6.2 Average selling price trends
  • 5.6 IMPACT OF KNOWLEDGE GRAPH ON ADJACENT TECHNOLOGIES
    • 5.6.1 TECHNOLOGY ANALYSIS
      • 5.6.1.1 Adjacent technologies
        • 5.6.1.1.1 NLP
        • 5.6.1.1.2 Big data & analytics
        • 5.6.1.1.3 Graph neural networks
      • 5.6.1.2 Related technologies
        • 5.6.1.2.1 Cloud computing
        • 5.6.1.2.2 AI and ML
        • 5.6.1.2.3 IoT
        • 5.6.1.2.4 Blockchain
    • 5.6.2 PORTER'S FIVE FORCES ANALYSIS
    • TABLE 12 KNOWLEDGE GRAPH MARKET: PORTER'S FIVE FORCES MODEL
      • 5.6.2.1 Threat of new entrants
      • 5.6.2.2 Threat of substitutes
      • 5.6.2.3 Bargaining power of buyers
      • 5.6.2.4 Bargaining power of suppliers
      • 5.6.2.5 Intensity of competitive rivalry
    • 5.6.3 DISRUPTIONS IMPACTING BUYERS/CUSTOMERS IN KNOWLEDGE GRAPH MARKET
    • FIGURE 24 TRENDS/DISRUPTIONS IMPACTING BUYERS/CUSTOMERS IN KNOWLEDGE GRAPH MARKET
    • 5.6.4 KEY CONFERENCES & EVENTS IN 2023-2024
    • TABLE 13 KNOWLEDGE GRAPH MARKET: DETAILED LIST OF CONFERENCES & EVENTS
    • 5.6.5 KEY STAKEHOLDERS & BUYING CRITERIA
      • 5.6.5.1 Key stakeholders in buying process
    • FIGURE 25 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END-USE INDUSTRIES
    • TABLE 14 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END-USE INDUSTRIES (%)
      • 5.6.5.2 Buying criteria
    • FIGURE 26 KEY BUYING CRITERIA FOR TOP THREE END-USE INDUSTRIES
    • TABLE 15 KEY BUYING CRITERIA FOR TOP THREE END-USE INDUSTRIES
    • 5.6.6 STEPS TO BUILD KNOWLEDGE GRAPH
      • 5.6.6.1 Identify domain
      • 5.6.6.2 Define entities
      • 5.6.6.3 Define relationships
      • 5.6.6.4 Determine attributes
      • 5.6.6.5 Model graph
      • 5.6.6.6 Map data
      • 5.6.6.7 Validate model
      • 5.6.6.8 Refine model
    • 5.6.7 FUTURE DIRECTION OF KNOWLEDGE GRAPH MARKET

6 KNOWLEDGE GRAPH MARKET, BY OFFERING

  • 6.1 INTRODUCTION
    • 6.1.1 OFFERING: KNOWLEDGE GRAPH MARKET DRIVERS
    • FIGURE 27 SERVICES SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
    • TABLE 16 KNOWLEDGE GRAPH MARKET, BY OFFERING, 2018-2022 (USD MILLION)
    • TABLE 17 KNOWLEDGE GRAPH MARKET, BY OFFERING, 2023-2028 (USD MILLION)
  • 6.2 SOLUTIONS
    • 6.2.1 SPIKE IN DEMAND FOR SOPHISTICATED DATA MANAGEMENT AND ANALYSIS TO DRIVE MARKET
    • TABLE 18 SOLUTIONS: KNOWLEDGE GRAPH MARKET, BY REGION, 2018-2022 (USD MILLION)
    • TABLE 19 SOLUTIONS: KNOWLEDGE GRAPH MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 6.3 SERVICES
    • 6.3.1 GROWING NEED TO IMPROVE EFFICIENCY TO BOOST MARKET
    • TABLE 20 SERVICES: KNOWLEDGE GRAPH MARKET, BY REGION, 2018-2022 (USD MILLION)
    • TABLE 21 SERVICES: KNOWLEDGE GRAPH MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 6.3.2 MANAGED SERVICES
    • 6.3.3 PROFESSIONAL SERVICES

7 KNOWLEDGE GRAPH MARKET, BY MODEL TYPE

  • 7.1 INTRODUCTION
    • 7.1.1 MODEL TYPE: KNOWLEDGE GRAPH MARKET DRIVERS
    • FIGURE 28 CONCEPTUAL GRAPHS TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
    • TABLE 22 KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2018-2022 (USD MILLION)
    • TABLE 23 KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2023-2028 (USD MILLION)
  • 7.2 RDF GRAPHS
    • 7.2.1 NEED TO ADOPT INTELLIGENT DATA MANAGEMENT SOLUTIONS TO DRIVE MARKET
    • TABLE 24 RDF GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2018-2022 (USD MILLION)
    • TABLE 25 RDF GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 7.3 CONCEPTUAL GRAPHS
    • 7.3.1 LOGICAL INFERENCE, KNOWLEDGE DISCOVERY, AND STRUCTURED REPRESENTATION OF DATA TO PROPEL MARKET GROWTH
    • TABLE 26 CONCEPTUAL GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2018-2022 (USD MILLION)
    • TABLE 27 CONCEPTUAL GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 7.4 SEMANTIC GRAPHS
    • 7.4.1 SEAMLESS INTEGRATION OF DISPARATE DATA SOURCES TO FUEL MARKET GROWTH
    • TABLE 28 SEMANTIC GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2018-2022 (USD MILLION)
    • TABLE 29 SEMANTIC GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2023-2028 (USD MILLION)

8 KNOWLEDGE GRAPH MARKET, BY DATA SOURCE

  • 8.1 INTRODUCTION
    • 8.1.1 DATA SOURCE: KNOWLEDGE GRAPH MARKET DRIVERS
    • FIGURE 29 STRUCTURED DATA PROJECTED TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
    • TABLE 30 KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2018-2022 (USD MILLION)
    • TABLE 31 KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2023-2028 (USD MILLION)
  • 8.2 STRUCTURED DATA
    • 8.2.1 GROWING NEED FOR DATA ACCURACY AND CONSISTENCY TO ACCELERATE MARKET GROWTH
    • TABLE 32 STRUCTURED DATA: KNOWLEDGE GRAPH MARKET, BY REGION, 2018-2022 (USD MILLION)
    • TABLE 33 STRUCTURED DATA: KNOWLEDGE GRAPH MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 8.3 UNSTRUCTURED DATA
    • 8.3.1 INCREASING FOCUS ON UNSTRUCTURED DATA SOURCES TO BOOST RESEARCH IN DATA ENRICHMENT AND CONTEXTUAL UNDERSTANDING
    • TABLE 34 UNSTRUCTURED DATA: KNOWLEDGE GRAPH MARKET, BY REGION, 2018-2022 (USD MILLION)
    • TABLE 35 UNSTRUCTURED DATA: KNOWLEDGE GRAPH MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 8.4 SEMI-STRUCTURED DATA
    • 8.4.1 SEMI-STRUCTURED DATA SOURCES TO ASSIST ENTERPRISES IN PERCEPTIVE DEPICTION OF INTRICATE INFORMATION
    • TABLE 36 SEMI-STRUCTURED DATA: KNOWLEDGE GRAPH MARKET, BY REGION, 2018-2022 (USD MILLION)
    • TABLE 37 SEMI-STRUCTURED DATA: KNOWLEDGE GRAPH MARKET, BY REGION, 2023-2028 (USD MILLION)

9 KNOWLEDGE GRAPH MARKET, BY APPLICATION

  • 9.1 INTRODUCTION
    • 9.1.1 APPLICATION: KNOWLEDGE GRAPH MARKET DRIVERS
    • FIGURE 30 SEMANTIC SEARCH EXPECTED TO ACCOUNT FOR LARGEST MARKET IN 2028
    • TABLE 38 KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2018-2022 (USD MILLION)
    • TABLE 39 KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
  • 9.2 SEMANTIC SEARCH
    • 9.2.1 NEED FOR ENHANCED SEARCH FUNCTIONALITIES TO DRIVE THE MARKET
    • TABLE 40 SEMANTIC SEARCH: KNOWLEDGE GRAPH MARKET, BY REGION, 2018-2022 (USD MILLION)
    • TABLE 41 SEMANTIC SEARCH: KNOWLEDGE GRAPH MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 9.3 QUESTION ANSWERING
    • 9.3.1 INTEGRATION OF KNOWLEDGE FROM SEVERAL DISCIPLINES AND OFFERING PERSONALIZED RECOMMENDATIONS TO DRIVE MARKET
    • TABLE 42 QUESTION ANSWERING: KNOWLEDGE GRAPH MARKET, BY REGION, 2018-2022 (USD MILLION)
    • TABLE 43 QUESTION ANSWERING: KNOWLEDGE GRAPH MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 9.4 RECOMMENDATION SYSTEMS
    • 9.4.1 WIDESPREAD KNOWLEDGE OF INTRICATE IDEAS THROUGH CROSS-DOMAIN INFORMATION INTEGRATION TO BOOST MARKET
    • TABLE 44 RECOMMENDATION SYSTEMS: KNOWLEDGE GRAPH MARKET, BY REGION, 2018-2022 (USD MILLION)
    • TABLE 45 RECOMMENDATION SYSTEMS: KNOWLEDGE GRAPH MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 9.5 ENTERPRISE KNOWLEDGE MANAGEMENT
    • 9.5.1 STREAMLINING OF TEAMWORK AND KNOWLEDGE EXCHANGE TO ACCELERATE MARKET GROWTH
    • TABLE 46 ENTERPRISE KNOWLEDGE MANAGEMENT: KNOWLEDGE GRAPH MARKET, BY REGION, 2018-2022 (USD MILLION)
    • TABLE 47 ENTERPRISE KNOWLEDGE MANAGEMENT: KNOWLEDGE GRAPH MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 9.6 OTHER APPLICATIONS
    • TABLE 48 OTHER APPLICATIONS: KNOWLEDGE GRAPH MARKET, BY REGION, 2018-2022 (USD MILLION)
    • TABLE 49 OTHER APPLICATIONS: KNOWLEDGE GRAPH MARKET, BY REGION, 2023-2028 (USD MILLION)

10 KNOWLEDGE GRAPH MARKET, BY TYPE

  • 10.1 INTRODUCTION
    • 10.1.1 TYPE: KNOWLEDGE GRAPH MARKET DRIVERS
    • FIGURE 31 NLP GRAPHS EXPECTED TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
    • TABLE 50 KNOWLEDGE GRAPH MARKET, BY TYPE, 2018-2022 (USD MILLION)
    • TABLE 51 KNOWLEDGE GRAPH MARKET, BY TYPE, 2023-2028 (USD MILLION)
  • 10.2 CONTEXT-RICH KNOWLEDGE GRAPHS
    • 10.2.1 CONTEXT-RICH KNOWLEDGE GRAPHS TO HELP ORGANIZATIONS ACHIEVE OPERATIONAL EXCELLENCE AND COMPETITIVE ADVANTAGE
    • TABLE 52 CONTEXT-RICH KNOWLEDGE GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2018-2022 (USD MILLION)
    • TABLE 53 CONTEXT-RICH KNOWLEDGE GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 10.3 EXTERNAL-SENSING KNOWLEDGE GRAPHS
    • 10.3.1 REAL-TIME UPDATES FROM EXTERNAL-SENSING KNOWLEDGE GRAPHS TO FOSTER FLEXIBILITY AND AGILITY
    • TABLE 54 EXTERNAL-SENSING KNOWLEDGE GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2018-2022 (USD MILLION)
    • TABLE 55 EXTERNAL-SENSING KNOWLEDGE GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 10.4 NLP KNOWLEDGE GRAPHS
    • 10.4.1 KNOWLEDGE DISCOVERY AND DATA INTEGRATION TO FUEL MARKET GROWTH
    • TABLE 56 NLP KNOWLEDGE GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2018-2022 (USD MILLION)
    • TABLE 57 NLP KNOWLEDGE GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2023-2028 (USD MILLION)

11 KNOWLEDGE GRAPH MARKET, BY VERTICAL

  • 11.1 INTRODUCTION
    • 11.1.1 VERTICAL: KNOWLEDGE GRAPH MARKET DRIVERS
    • FIGURE 32 IT & ITES TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
    • TABLE 58 KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2018-2022 (USD MILLION)
    • TABLE 59 KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
  • 11.2 BFSI
    • 11.2.1 INCREASING NEED TO MANAGE COMPLEX DATA TO SUPPORT MARKET GROWTH
    • TABLE 60 BFSI: KNOWLEDGE GRAPH MARKET, BY REGION, 2018-2022 (USD MILLION)
    • TABLE 61 BFSI: KNOWLEDGE GRAPH MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 11.2.2 CASE STUDY
      • 11.2.2.1 Prominent financial institution was able to combat money laundering with TigerGraph
  • 11.3 RETAIL & ECOMMERCE
    • 11.3.1 OPTIMIZED INVENTORY MANAGEMENT FACILITATED BY KNOWLEDGE GRAPHS TO DRIVE MARKET
    • TABLE 62 RETAIL & ECOMMERCE: KNOWLEDGE GRAPH MARKET, BY REGION, 2018-2022 (USD MILLION)
    • TABLE 63 RETAIL & ECOMMERCE: KNOWLEDGE GRAPH MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 11.3.2 CASE STUDY
      • 11.3.2.1 Retailer improved store operations and increased customer satisfaction using TigerGraph
  • 11.4 MANUFACTURING & AUTOMOTIVE
    • 11.4.1 EASY PREDICTIVE MAINTENANCE AND DECREASE IN DOWNTIME TO SUPPORT MARKET GROWTH
    • TABLE 64 MANUFACTURING & AUTOMOTIVE: KNOWLEDGE GRAPH MARKET, BY REGION, 2018-2022 (USD MILLION)
    • TABLE 65 MANUFACTURING & AUTOMOTIVE: KNOWLEDGE GRAPH MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 11.4.2 CASE STUDY
      • 11.4.2.1 Leading building automation systems (BAS) manufacturers used Brick schema to represent BAS components and their complex interactions
  • 11.5 IT & ITES
    • 11.5.1 DEVELOPMENT OF INNOVATIVE TECHNOLOGIES TO DRIVE MARKET
    • TABLE 66 IT & ITES: KNOWLEDGE GRAPH MARKET, BY REGION, 2018-2022 (USD MILLION)
    • TABLE 67 IT & ITES: KNOWLEDGE GRAPH MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 11.5.2 CASE STUDY
      • 11.5.2.1 Technology giant improved customer experiences with TigerGraph
  • 11.6 TELECOM
    • 11.6.1 OPTIMIZED INTRICATE NETWORK INFRASTRUCTURE AND CUSTOMIZED SERVICE OFFERINGS TO FUEL MARKET GROWTH
    • TABLE 68 TELECOM: KNOWLEDGE GRAPH MARKET, BY REGION, 2018-2022 (USD MILLION)
    • TABLE 69 TELECOM: KNOWLEDGE GRAPH MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 11.6.2 CASE STUDY
      • 11.6.2.1 Orange used Thing'in to build digital twin platform
  • 11.7 MEDIA & ENTERTAINMENT
    • 11.7.1 IMPROVED CONTENT MANAGEMENT PROCEDURES AND BETTER DATA-DRIVEN DECISIONS TO BOOST MARKET
    • TABLE 70 MEDIA & ENTERTAINMENT: KNOWLEDGE GRAPH MARKET, BY REGION, 2018-2022 (USD MILLION)
    • TABLE 71 MEDIA & ENTERTAINMENT: KNOWLEDGE GRAPH MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 11.7.2 CASE STUDY
      • 11.7.2.1 Perfect Memory and Ontotext developed custom data program platform based on knowledge graph solution to streamline data management
  • 11.8 HEALTHCARE
    • 11.8.1 NEED TO REVOLUTIONIZE HEALTHCARE PRACTICES TO PROPEL ADOPTION OF KNOWLEDGE GRAPHS
    • TABLE 72 HEALTHCARE: KNOWLEDGE GRAPH MARKET, BY REGION, 2018-2022 (USD MILLION)
    • TABLE 73 HEALTHCARE: KNOWLEDGE GRAPH MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 11.8.2 CASE STUDY
      • 11.8.2.1 Amgen improved quality of healthcare by identifying influencers and referral networks using TigerGraph
  • 11.9 GOVERNMENT
    • 11.9.1 SPEEDY DATA INTEGRATION AND INTEROPERABILITY TO BOOST MARKET
    • TABLE 74 GOVERNMENT: KNOWLEDGE GRAPH MARKET, BY REGION, 2018-2022 (USD MILLION)
    • TABLE 75 GOVERNMENT: KNOWLEDGE GRAPH MARKET, BY REGION, 2023-2028 (USD MILLION)
    • 11.9.2 CASE STUDY
      • 11.9.2.1 State Grid Corporation of China created speedy energy management system with assistance of TigerGraph
  • 11.10 OTHER VERTICALS
    • TABLE 76 OTHER VERTICALS: KNOWLEDGE GRAPH MARKET, BY REGION, 2018-2022 (USD MILLION)
    • TABLE 77 OTHER VERTICALS: KNOWLEDGE GRAPH MARKET, BY REGION, 2023-2028 (USD MILLION)

12 KNOWLEDGE GRAPH MARKET, BY REGION

  • 12.1 INTRODUCTION
    • FIGURE 33 KNOWLEDGE GRAPH MARKET: REGIONAL SNAPSHOT, 2023
    • FIGURE 34 ASIA PACIFIC TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD
    • TABLE 78 KNOWLEDGE GRAPH MARKET, BY REGION, 2018-2022 (USD MILLION)
    • TABLE 79 KNOWLEDGE GRAPH MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 12.2 NORTH AMERICA
    • FIGURE 35 NORTH AMERICA: MARKET SNAPSHOT
    • 12.2.1 NORTH AMERICA: KNOWLEDGE GRAPH MARKET DRIVERS
    • 12.2.2 NORTH AMERICA: RECESSION IMPACT
    • TABLE 80 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2018-2022 (USD MILLION)
    • TABLE 81 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 82 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY TYPE, 2018-2022 (USD MILLION)
    • TABLE 83 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY TYPE, 2023-2028 (USD MILLION)
    • TABLE 84 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2018-2022 (USD MILLION)
    • TABLE 85 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2023-2028 (USD MILLION)
    • TABLE 86 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2018-2022 (USD MILLION)
    • TABLE 87 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2023-2028 (USD MILLION)
    • TABLE 88 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2018-2022 (USD MILLION)
    • TABLE 89 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
    • TABLE 90 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2018-2022 (USD MILLION)
    • TABLE 91 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 92 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2018-2022 (USD MILLION)
    • TABLE 93 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
    • 12.2.3 US
      • 12.2.3.1 Spike in demand for advanced solutions and data-driven adoption initiatives to drive market
    • TABLE 94 US: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2018-2022 (USD MILLION)
    • TABLE 95 US: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 96 US: KNOWLEDGE GRAPH MARKET, BY TYPE, 2018-2022 (USD MILLION)
    • TABLE 97 US: KNOWLEDGE GRAPH MARKET, BY TYPE, 2023-2028 (USD MILLION)
    • TABLE 98 US: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2018-2022 (USD MILLION)
    • TABLE 99 US: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2023-2028 (USD MILLION)
    • TABLE 100 US: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2018-2022 (USD MILLION)
    • TABLE 101 US: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2023-2028 (USD MILLION)
    • TABLE 102 US: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2018-2022 (USD MILLION)
    • TABLE 103 US: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
    • TABLE 104 US: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2018-2022 (USD MILLION)
    • TABLE 105 US: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
    • 12.2.4 CANADA
      • 12.2.4.1 Need for real-time decision-making to drive market
  • 12.3 EUROPE
    • 12.3.1 EUROPE: KNOWLEDGE GRAPH MARKET DRIVERS
    • 12.3.2 EUROPE: RECESSION IMPACT
    • TABLE 106 EUROPE: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2018-2022 (USD MILLION)
    • TABLE 107 EUROPE: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 108 EUROPE: KNOWLEDGE GRAPH MARKET, BY TYPE, 2018-2022 (USD MILLION)
    • TABLE 109 EUROPE: KNOWLEDGE GRAPH MARKET, BY TYPE, 2023-2028 (USD MILLION)
    • TABLE 110 EUROPE: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2018-2022 (USD MILLION)
    • TABLE 111 EUROPE: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2023-2028 (USD MILLION)
    • TABLE 112 EUROPE: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2018-2022 (USD MILLION)
    • TABLE 113 EUROPE: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2023-2028 (USD MILLION)
    • TABLE 114 EUROPE: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2018-2022 (USD MILLION)
    • TABLE 115 EUROPE: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
    • TABLE 116 EUROPE: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2018-2022 (USD MILLION)
    • TABLE 117 EUROPE: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 118 EUROPE: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2018-2022 (USD MILLION)
    • TABLE 119 EUROPE: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
    • 12.3.3 UK
      • 12.3.3.1 Government initiatives supporting integration of knowledge graphs to boost market
    • TABLE 120 UK: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2018-2022 (USD MILLION)
    • TABLE 121 UK: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 122 UK: KNOWLEDGE GRAPH MARKET, BY TYPE, 2018-2022 (USD MILLION)
    • TABLE 123 UK: KNOWLEDGE GRAPH MARKET, BY TYPE, 2023-2028 (USD MILLION)
    • TABLE 124 UK: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2018-2022 (USD MILLION)
    • TABLE 125 UK: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2023-2028 (USD MILLION)
    • TABLE 126 UK: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2018-2022 (USD MILLION)
    • TABLE 127 UK: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2023-2028 (USD MILLION)
    • TABLE 128 UK: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2018-2022 (USD MILLION)
    • TABLE 129 UK: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
    • TABLE 130 UK: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2018-2022 (USD MILLION)
    • TABLE 131 UK: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
    • 12.3.4 GERMANY
      • 12.3.4.1 Increasing digitalization and technological advancements to propel market
    • 12.3.5 FRANCE
      • 12.3.5.1 Rising demand for data management and integration to drive market
    • 12.3.6 ITALY
      • 12.3.6.1 Proliferation of social networks and supply chain networks to boost market
    • TABLE 132 ITALY: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2018-2022 (USD MILLION)
    • TABLE 133 ITALY: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 134 ITALY: KNOWLEDGE GRAPH MARKET, BY TYPE, 2018-2022 (USD MILLION)
    • TABLE 135 ITALY: KNOWLEDGE GRAPH MARKET, BY TYPE, 2023-2028 (USD MILLION)
    • TABLE 136 ITALY: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2018-2022 (USD MILLION)
    • TABLE 137 ITALY: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2023-2028 (USD MILLION)
    • TABLE 138 ITALY: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2018-2022 (USD MILLION)
    • TABLE 139 ITALY: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2023-2028 (USD MILLION)
    • TABLE 140 ITALY: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2018-2022 (USD MILLION)
    • TABLE 141 ITALY: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
    • TABLE 142 ITALY: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2018-2022 (USD MILLION)
    • TABLE 143 ITALY: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
    • 12.3.7 SPAIN
      • 12.3.7.1 Implementation of knowledge graphs by logistics companies to optimize supply chain operations to accelerate market
    • 12.3.8 REST OF EUROPE
  • 12.4 ASIA PACIFIC
    • FIGURE 36 ASIA PACIFIC: MARKET SNAPSHOT
    • 12.4.1 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET DRIVERS
    • 12.4.2 ASIA PACIFIC: RECESSION IMPACT
    • TABLE 144 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2018-2022 (USD MILLION)
    • TABLE 145 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 146 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY TYPE, 2018-2022 (USD MILLION)
    • TABLE 147 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY TYPE, 2023-2028 (USD MILLION)
    • TABLE 148 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2018-2022 (USD MILLION)
    • TABLE 149 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2023-2028 (USD MILLION)
    • TABLE 150 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2018-2022 (USD MILLION)
    • TABLE 151 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2023-2028 (USD MILLION)
    • TABLE 152 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2018-2022 (USD MILLION)
    • TABLE 153 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
    • TABLE 154 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2018-2022 (USD MILLION)
    • TABLE 155 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 156 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2018-2022 (USD MILLION)
    • TABLE 157 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
    • 12.4.3 CHINA
      • 12.4.3.1 Increasing R&D investments and government support to boost market
    • TABLE 158 CHINA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2018-2022 (USD MILLION)
    • TABLE 159 CHINA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 160 CHINA: KNOWLEDGE GRAPH MARKET, BY TYPE, 2018-2022 (USD MILLION)
    • TABLE 161 CHINA: KNOWLEDGE GRAPH MARKET, BY TYPE, 2023-2028 (USD MILLION)
    • TABLE 162 CHINA: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2018-2022 (USD MILLION)
    • TABLE 163 CHINA: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2023-2028 (USD MILLION)
    • TABLE 164 CHINA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2018-2022 (USD MILLION)
    • TABLE 165 CHINA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2023-2028 (USD MILLION)
    • TABLE 166 CHINA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2018-2022 (USD MILLION)
    • TABLE 167 CHINA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
    • TABLE 168 CHINA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2018-2022 (USD MILLION)
    • TABLE 169 CHINA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
    • 12.4.4 JAPAN
      • 12.4.4.1 Robust technological sector and persistent focus on innovation to boost market
    • 12.4.5 INDIA
      • 12.4.5.1 Increasing adoption of digital services to drive market
    • 12.4.6 AUSTRALIA & NEW ZEALAND
      • 12.4.6.1 Growing infrastructure developments to boost market
    • 12.4.7 REST OF ASIA PACIFIC
  • 12.5 MIDDLE EAST & AFRICA
    • 12.5.1 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET DRIVERS
    • 12.5.2 MIDDLE EAST & AFRICA: RECESSION IMPACT
    • TABLE 170 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2018-2022 (USD MILLION)
    • TABLE 171 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 172 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY TYPE, 2018-2022 (USD MILLION)
    • TABLE 173 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY TYPE, 2023-2028 (USD MILLION)
    • TABLE 174 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2018-2022 (USD MILLION)
    • TABLE 175 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2023-2028 (USD MILLION)
    • TABLE 176 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2018-2022 (USD MILLION)
    • TABLE 177 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2023-2028 (USD MILLION)
    • TABLE 178 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2018-2022 (USD MILLION)
    • TABLE 179 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
    • TABLE 180 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2018-2022 (USD MILLION)
    • TABLE 181 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 182 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2018-2022 (USD MILLION)
    • TABLE 183 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
    • 12.5.3 GCC
      • 12.5.3.1 Growing awareness of benefits of knowledge graphs to drive market
    • 12.5.4 SOUTH AFRICA
      • 12.5.4.1 Pivotal role of knowledge graphs in driving innovation and informed decision-making to fuel market growth
    • 12.5.5 REST OF MIDDLE EAST & AFRICA
  • 12.6 LATIN AMERICA
    • 12.6.1 LATIN AMERICA: KNOWLEDGE GRAPH MARKET DRIVERS
    • 12.6.2 LATIN AMERICA: RECESSION IMPACT
    • TABLE 184 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2018-2022 (USD MILLION)
    • TABLE 185 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 186 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY TYPE, 2018-2022 (USD MILLION)
    • TABLE 187 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY TYPE, 2023-2028 (USD MILLION)
    • TABLE 188 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2018-2022 (USD MILLION)
    • TABLE 189 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2023-2028 (USD MILLION)
    • TABLE 190 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2018-2022 (USD MILLION)
    • TABLE 191 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2023-2028 (USD MILLION)
    • TABLE 192 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2018-2022 (USD MILLION)
    • TABLE 193 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
    • TABLE 194 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2018-2022 (USD MILLION)
    • TABLE 195 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 196 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2018-2022 (USD MILLION)
    • TABLE 197 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
    • 12.6.3 BRAZIL
      • 12.6.3.1 Spike in demand for quick and real-time data access to propel market
    • 12.6.4 MEXICO
      • 12.6.4.1 Rising need for efficient data management and growing adoption of AI & ML technologies to drive market
    • 12.6.5 REST OF LATIN AMERICA

13 COMPETITIVE LANDSCAPE

  • 13.1 OVERVIEW
  • 13.2 STRATEGIES ADOPTED BY KEY PLAYERS
    • TABLE 198 OVERVIEW OF STRATEGIES ADOPTED BY KEY PLAYERS IN KNOWLEDGE GRAPH MARKET
  • 13.3 COMPETITIVE SCENARIO
  • 13.4 MARKET SHARE ANALYSIS
    • TABLE 199 KNOWLEDGE GRAPH MARKET: DEGREE OF COMPETITION
  • 13.5 HISTORICAL REVENUE ANALYSIS
    • FIGURE 37 HISTORICAL THREE-YEAR REVENUE ANALYSIS OF LEADING PLAYERS, 2020-2022 (USD MILLION)
  • 13.6 RANKING OF KEY PLAYERS IN KNOWLEDGE GRAPH MARKET, 2023
    • FIGURE 38 MARKET RANKING OF KEY PLAYERS, 2023
  • 13.7 COMPANY EVALUATION MATRIX METHODOLOGY
    • FIGURE 39 COMPANY EVALUATION MATRIX: CRITERIA WEIGHTAGE
    • 13.7.1 STARS
    • 13.7.2 EMERGING LEADERS
    • 13.7.3 PERVASIVE PLAYERS
    • 13.7.4 PARTICIPANTS
    • FIGURE 40 KNOWLEDGE GRAPH MARKET: COMPANY EVALUATION MATRIX, 2023
  • 13.8 STARTUP/SME EVALUATION MATRIX METHODOLOGY AND DEFINITIONS
    • FIGURE 41 STARTUP/SME EVALUATION MATRIX: CRITERIA WEIGHTAGE
    • 13.8.1 PROGRESSIVE COMPANIES
    • 13.8.2 RESPONSIVE COMPANIES
    • 13.8.3 DYNAMIC COMPANIES
    • 13.8.4 STARTING BLOCKS
    • FIGURE 42 KNOWLEDGE GRAPH MARKET: STARTUP/SME EVALUATION MATRIX
  • 13.9 COMPANY FOOTPRINT
    • TABLE 200 KNOWLEDGE GRAPH MARKET: COMPANY FOOTPRINT ANALYSIS
  • 13.10 COMPETITIVE BENCHMARKING
    • TABLE 201 DETAILED LIST OF STARTUPS/SMES
    • TABLE 202 COMPETITIVE BENCHMARKING OF STARTUPS/SMES
    • TABLE 203 COMPETITIVE BENCHMARKING OF KEY PLAYERS
  • 13.11 COMPETITIVE SCENARIO
    • 13.11.1 PRODUCT LAUNCHES
    • TABLE 204 KNOWLEDGE GRAPH MARKET: PRODUCT LAUNCHES, 2019-2023
    • 13.11.2 DEALS
    • TABLE 205 KNOWLEDGE GRAPH MARKET: DEALS, 2019-2023
  • 13.12 KNOWLEDGE GRAPH PRODUCT BENCHMARKING
    • TABLE 206 COMPARATIVE ANALYSIS OF PROMINENT KNOWLEDGE GRAPH SOLUTIONS
  • 13.13 VALUATION AND FINANCIAL METRICS OF KEY KNOWLEDGE GRAPH VENDORS
    • FIGURE 43 VALUATION AND FINANCIAL METRICS OF KNOWLEDGE GRAPH VENDORS

14 COMPANY PROFILES

(Business overview, Products/Solutions/Services offered, Recent Developments, MNM view)**

  • 14.1 KEY PLAYERS
    • 14.1.1 IBM
    • TABLE 207 IBM: BUSINESS OVERVIEW
    • FIGURE 44 IBM: COMPANY SNAPSHOT
    • TABLE 208 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 209 IBM: PRODUCT LAUNCHES/ENHANCEMENTS
    • TABLE 210 IBM: DEALS
    • 14.1.2 MICROSOFT
    • TABLE 211 MICROSOFT: BUSINESS OVERVIEW
    • FIGURE 45 MICROSOFT: COMPANY SNAPSHOT
    • TABLE 212 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • 14.1.3 AWS
    • TABLE 213 AWS: COMPANY OVERVIEW
    • FIGURE 46 AWS: COMPANY SNAPSHOT
    • TABLE 214 AWS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 215 AWS: PRODUCT LAUNCHES/ENHANCEMENTS
    • TABLE 216 AWS: DEALS
    • 14.1.4 NEO4J
    • TABLE 217 NEO4J: COMPANY OVERVIEW
    • TABLE 218 NEO4J: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 219 NEO4J: PRODUCT LAUNCHES/ENHANCEMENTS
    • TABLE 220 NEO4J: DEALS
    • 14.1.5 TIGERGRAPH
    • TABLE 221 TIGERGRAPH: COMPANY OVERVIEW
    • TABLE 222 TIGERGRAPH: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 223 TIGERGRAPH: DEALS
    • 14.1.6 SAP
    • TABLE 224 SAP: BUSINESS OVERVIEW
    • FIGURE 47 SAP: COMPANY SNAPSHOT
    • TABLE 225 SAP: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 226 SAP: DEALS
    • 14.1.7 ORACLE
    • TABLE 227 ORACLE: COMPANY OVERVIEW
    • FIGURE 48 ORACLE: COMPANY SNAPSHOT
    • TABLE 228 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 229 ORACLE: PRODUCT LAUNCHES/ENHANCEMENTS
    • 14.1.8 STARDOG
    • TABLE 230 STARDOG: COMPANY OVERVIEW
    • TABLE 231 STARDOG: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 232 STARDOG: PRODUCT LAUNCHES/ENHANCEMENTS
    • TABLE 233 STARDOG: DEALS
    • 14.1.9 FRANZ INC.
    • TABLE 234 FRANZ INC.: COMPANY OVERVIEW
    • TABLE 235 FRANZ INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 236 FRANZ INC.: PRODUCT LAUNCHES/ENHANCEMENTS
    • TABLE 237 FRANZ INC.: DEALS
    • 14.1.10 ONTOTEXT
    • TABLE 238 ONTOTEXT: COMPANY OVERVIEW
    • TABLE 239 ONTOTEXT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 240 ONTOTEXT: PRODUCT LAUNCHES/ENHANCEMENTS
    • TABLE 241 ONTOTEXT: DEALS
    • 14.1.11 SEMANTIC WEB COMPANY
    • 14.1.12 OPENLINK SOFTWARE
    • 14.1.13 MARKLOGIC
  • 14.2 OTHER PLAYERS/STARTUPS
    • 14.2.1 DATAVID
    • 14.2.2 GRAPHBASE
    • 14.2.3 CAMBRIDGE SEMANTICS
    • 14.2.4 CONVERSIGHT
    • 14.2.5 ECCENA
    • 14.2.6 ARANGODB
    • 14.2.7 FLUREE
    • 14.2.8 DIFFBOT
    • 14.2.9 BITNINE
    • 14.2.10 MEMGRAPH
    • 14.2.11 GRAPHAWARE
    • 14.2.12 ONLIM
  • *Details on Business overview, Products/Solutions/Services offered, Recent Developments, MNM view might not be captured in case of unlisted companies.

15 ADJACENT/RELATED MARKETS

  • 15.1 INTRODUCTION TO ADJACENT MARKETS
    • TABLE 242 ADJACENT MARKETS AND FORECASTS
  • 15.2 LIMITATIONS
  • 15.3 GRAPH DATABASE MARKET
    • TABLE 243 GRAPH DATABASE MARKET, BY OFFERING, 2018-2022 (USD MILLION)
    • TABLE 244 GRAPH DATABASE MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 245 GRAPH DATABASE MARKET, BY MODEL TYPE, 2018-2022 (USD MILLION)
    • TABLE 246 GRAPH DATABASE MARKET, BY MODEL TYPE, 2023-2028 (USD MILLION)
    • TABLE 247 GRAPH DATABASE MARKET, BY ANALYSIS TYPE, 2018-2022 (USD MILLION)
    • TABLE 248 GRAPH DATABASE MARKET, BY ANALYSIS TYPE, 2023-2028 (USD MILLION)
    • TABLE 249 GRAPH DATABASE MARKET, BY VERTICAL, 2018-2022 (USD MILLION)
    • TABLE 250 GRAPH DATABASE MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 251 GRAPH DATABASE MARKET, BY REGION, 2018-2022 (USD MILLION)
    • TABLE 252 GRAPH DATABASE MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 15.4 NATURAL LANGUAGE PROCESSING (NLP) MARKET
    • TABLE 253 NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2017-2022 (USD MILLION)
    • TABLE 254 NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 255 NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2017-2022 (USD MILLION)
    • TABLE 256 NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2023-2028 (USD MILLION)
    • TABLE 257 FRAUD DETECTION AND PREVENTION MARKET, BY OFFERING, 2023-2028 (USD MILLION)
    • TABLE 258 NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2017-2022 (USD MILLION)
    • TABLE 259 NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2023-2028 (USD MILLION)
    • TABLE 260 NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY, 2017-2022 (USD MILLION)
    • TABLE 261 NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
    • TABLE 262 NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2017-2022 (USD MILLION)
    • TABLE 263 NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2023-2028 (USD MILLION)
    • TABLE 264 NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2017-2022 (USD MILLION)
    • TABLE 265 NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2023-2028 (USD MILLION)

16 APPENDIX

  • 16.1 DISCUSSION GUIDE
  • 16.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 16.3 CUSTOMIZATION OPTIONS
  • 16.4 RELATED REPORTS
  • 16.5 AUTHOR DETAILS