出版：MarketsandMarkets（マーケッツアンドマーケッツ） 出版年月：2023年10月
Knowledge Graph Market – Global Forecast to 2028
ナレッジグラフ市場 : オファリング (ソリューション、サービス)、データソース (構造化、非構造化、半構造化)、業界別 (BFSI、IT & ITeS、電気通信、ヘルスケア)、モデルタイプ、アプリケーション、タイプ、地域別 – 2028年までの世界予測
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
| ページ数 | 233 |
| 図表数 | 313 |
| 種別 | 英文調査報告書 |
| 価格 |
Report Overview
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 38
1.1 STUDY OBJECTIVES 38
1.2 MARKET DEFINITION 38
1.2.1 INCLUSIONS AND EXCLUSIONS 38
1.3 MARKET SCOPE 39
1.3.1 MARKET SEGMENTATION 39
1.3.2 REGIONS COVERED 40
1.3.3 YEARS CONSIDERED 40
1.4 CURRENCY CONSIDERED 41
TABLE 1 USD EXCHANGE RATES, 2020–2022 41
1.5 STAKEHOLDERS 41
1.6 RECESSION IMPACT 41
2 RESEARCH METHODOLOGY 42
2.1 RESEARCH DATA 42
FIGURE 1 KNOWLEDGE GRAPH MARKET: RESEARCH DESIGN 42
2.1.1 SECONDARY DATA 43
2.1.2 PRIMARY DATA 43
2.1.2.1 Breakdown of primaries 44
TABLE 2 PRIMARY INTERVIEWS 44
2.1.2.2 Key industry insights 45
2.2 DATA TRIANGULATION 45
FIGURE 2 DATA TRIANGULATION 45
2.3 MARKET SIZE ESTIMATION 46
FIGURE 3 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 1 (SUPPLY-SIDE): REVENUE OF OFFERINGS IN KNOWLEDGE GRAPH MARKET 46
FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY – APPROACH 2 (DEMAND-SIDE): KNOWLEDGE GRAPH MARKET 47
2.3.1 BOTTOM-UP APPROACH 47
FIGURE 5 BOTTOM-UP APPROACH 48
FIGURE 6 MARKET SIZE ESTIMATION USING BOTTOM-UP APPROACH 48
2.3.2 TOP-DOWN APPROACH 48
FIGURE 7 TOP-DOWN APPROACH 49
2.4 MARKET FORECAST 49
TABLE 3 FACTOR ANALYSIS 49
2.5 RESEARCH ASSUMPTIONS 50
2.6 LIMITATIONS 50
2.7 IMPACT OF RECESSION ON KNOWLEDGE GRAPH MARKET 51
3 EXECUTIVE SUMMARY 52
FIGURE 8 KNOWLEDGE GRAPH MARKET, 2021–2028 (USD MILLION) 52
FIGURE 9 KNOWLEDGE GRAPH MARKET: REGIONAL SHARE, 2023 53
FIGURE 10 ASIA PACIFIC EXPECTED TO BE BEST MARKET FOR INVESTMENTS DURING FORECAST PERIOD 54
4 PREMIUM INSIGHTS 55
4.1 BRIEF OVERVIEW OF KNOWLEDGE GRAPH MARKET 55
FIGURE 11 USE OF NATURAL LANGUAGE PROCESSING IN KNOWLEDGE GRAPHS TO ACT AS OPPORTUNITY IN MARKET 55
4.2 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY OFFERING AND TOP THREE VERTICALS 55
FIGURE 12 SOLUTIONS AND BFSI TO ACCOUNT FOR SIGNIFICANT SHARES OF MARKET IN NORTH AMERICA 55
4.3 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY OFFERING AND TOP THREE COUNTRIES 56
FIGURE 13 SOLUTIONS AND CHINA TO ACCOUNT FOR SIGNIFICANT SHARES OF ASIA PACIFIC MARKET 56
4.4 KNOWLEDGE GRAPH MARKET, BY TYPE 56
FIGURE 14 CONTENT-RICH KNOWLEDGE GRAPHS TO HOLD LARGER MARKET SHARE IN 2023 56
4.5 KNOWLEDGE GRAPH MARKET, BY APPLICATION 57
FIGURE 15 SEMANTIC SEARCH SEGMENT TO HOLD LARGER MARKET SHARE IN 2023 57
4.6 KNOWLEDGE GRAPH MARKET, BY DATA SOURCE 57
FIGURE 16 UNSTRUCTURED DATA SEGMENT TO HOLD LARGER MARKET SHARE IN 2023 57
4.7 KNOWLEDGE GRAPH MARKET, BY MODEL TYPE 57
FIGURE 17 SEMANTIC GRAPH SEGMENT TO HOLD LARGER MARKET SHARE IN 2023 57
5 MARKET OVERVIEW AND INDUSTRY TRENDS 58
5.1 MARKET OVERVIEW 58
5.2 MARKET DYNAMICS 58
FIGURE 18 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: KNOWLEDGE GRAPH MARKET 58
5.2.1 DRIVERS 59
5.2.1.1 Rapid growth in data volume and complexity 59
5.2.1.2 Advanced AI & ML algorithms and vast amount of generated data 59
5.2.1.3 Semantic web and linked data initiatives 59
5.2.2 RESTRAINTS 60
5.2.2.1 Significant costs for development and maintenance 60
5.2.3 OPPORTUNITIES 60
5.2.3.1 Integration of NLP techniques into knowledge graph market to help data enrichment and enhance user experiences 60
5.2.3.2 Increasing adoption in healthcare and life sciences 60
5.2.4 CHALLENGES 60
5.2.4.1 Data quality and integration 60
5.2.4.2 Scalability 61
5.3 INDUSTRY TRENDS 61
5.4 REGULATORY IMPLICATIONS 61
5.4.1 GENERAL DATA PROTECTION REGULATION 61
5.4.2 INTERNATIONAL ORGANIZATION FOR STANDARDIZATION 27001 62
5.4.3 EU DATA GOVERNANCE ACT 62
5.4.4 HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT OF 1996 62
5.4.5 BASEL COMMITTEE ON BANKING SUPERVISION 239 COMPLIANCE 62
5.4.6 SARBANES-OXLEY ACT OF 2002 63
5.5 BEST PRACTICES IN KNOWLEDGE GRAPH MARKET 63
5.5.1 VALUE CHAIN ANALYSIS 64
FIGURE 19 KNOWLEDGE GRAPH MARKET: VALUE CHAIN ANALYSIS 64
5.5.2 BRIEF HISTORY OF KNOWLEDGE GRAPH MARKET 65
FIGURE 20 BRIEF HISTORY OF KNOWLEDGE GRAPH 65
5.5.2.1 2000–2010 65
5.5.2.2 2010–2020 65
5.5.2.3 2020–Present 66
5.5.3 ECOSYSTEM 66
FIGURE 21 KNOWLEDGE GRAPH ECOSYSTEM 66
TABLE 4 KNOWLEDGE GRAPH MARKET: ECOSYSTEM 67
5.5.4 PATENT ANALYSIS 68
5.5.4.1 Methodology 68
5.5.4.2 Document type 68
TABLE 5 PATENTS FILED, 2020–2023 68
5.5.4.3 Innovation and patent applications 69
FIGURE 22 TOTAL NUMBER OF PATENTS GRANTED, 2020–2023 69
5.5.4.4 Top applicants 69
FIGURE 23 TOP TEN PATENT APPLICANTS, 2020–2023 69
5.5.5 USE CASES 70
TABLE 6 KERBEROS PREVENTED MONEY LAUNDERING AND DEVELOPED COMPLIANCE MANAGEMENT APPLICATION FOR RISK MANAGEMENT WITH NEO4J 70
TABLE 7 YAHOO7 REPRESENTED CONTENT WITHIN KNOWLEDGE GRAPH WITH ASSISTANCE OF BLAZEGRAPH 70
TABLE 8 NEO4J ENABLED AND VISUALIZED CONNECTIONS BETWEEN ELEMENTS OF PANAMA PAPERS LEAKS 71
TABLE 9 GRAPH TECHNOLOGY HELPED US ARMY BY TRACKING AND ANALYZING EQUIPMENT MAINTENANCE AFTER EMPLOYING NEO4J 71
TABLE 10 THE DATABASE GROUP HELPED SPRINGERMATERIALS ACCELERATE RESEARCH WITH SEMANTIC SEARCH 72
5.5.6 PRICING ANALYSIS 73
5.5.6.1 Average selling price of key players 73
TABLE 11 PRICING ANALYSIS 73
5.5.6.2 Average selling price trends 73
5.6 IMPACT OF KNOWLEDGE GRAPH ON ADJACENT TECHNOLOGIES 74
5.6.1 TECHNOLOGY ANALYSIS 74
5.6.1.1 Adjacent technologies 75
5.6.1.1.1 NLP 75
5.6.1.1.2 Big data & analytics 75
5.6.1.1.3 Graph neural networks 75
5.6.1.2 Related technologies 75
5.6.1.2.1 Cloud computing 75
5.6.1.2.2 AI and ML 76
5.6.1.2.3 IoT 76
5.6.1.2.4 Blockchain 76
5.6.2 PORTER’S FIVE FORCES ANALYSIS 76
TABLE 12 KNOWLEDGE GRAPH MARKET: PORTER’S FIVE FORCES MODEL 77
5.6.2.1 Threat of new entrants 77
5.6.2.2 Threat of substitutes 77
5.6.2.3 Bargaining power of buyers 77
5.6.2.4 Bargaining power of suppliers 78
5.6.2.5 Intensity of competitive rivalry 78
5.6.3 DISRUPTIONS IMPACTING BUYERS/CUSTOMERS IN KNOWLEDGE GRAPH MARKET 78
FIGURE 24 TRENDS/DISRUPTIONS IMPACTING BUYERS/CUSTOMERS IN KNOWLEDGE GRAPH MARKET 78
5.6.4 KEY CONFERENCES & EVENTS IN 2023–2024 79
TABLE 13 KNOWLEDGE GRAPH MARKET: DETAILED LIST OF CONFERENCES & EVENTS 79
5.6.5 KEY STAKEHOLDERS & BUYING CRITERIA 79
5.6.5.1 Key stakeholders in buying process 79
FIGURE 25 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END-USE INDUSTRIES 79
TABLE 14 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END-USE INDUSTRIES (%) 80
5.6.5.2 Buying criteria 80
FIGURE 26 KEY BUYING CRITERIA FOR TOP THREE END-USE INDUSTRIES 80
TABLE 15 KEY BUYING CRITERIA FOR TOP THREE END-USE INDUSTRIES 80
5.6.6 STEPS TO BUILD KNOWLEDGE GRAPH 81
5.6.6.1 Identify domain 81
5.6.6.2 Define entities 81
5.6.6.3 Define relationships 81
5.6.6.4 Determine attributes 81
5.6.6.5 Model graph 81
5.6.6.6 Map data 81
5.6.6.7 Validate model 81
5.6.6.8 Refine model 82
5.6.7 FUTURE DIRECTION OF KNOWLEDGE GRAPH MARKET 82
6 KNOWLEDGE GRAPH MARKET, BY OFFERING 83
6.1 INTRODUCTION 84
6.1.1 OFFERING: KNOWLEDGE GRAPH MARKET DRIVERS 84
FIGURE 27 SERVICES SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD 84
TABLE 16 KNOWLEDGE GRAPH MARKET, BY OFFERING, 2018–2022 (USD MILLION) 84
TABLE 17 KNOWLEDGE GRAPH MARKET, BY OFFERING, 2023–2028 (USD MILLION) 85
6.2 SOLUTIONS 85
6.2.1 SPIKE IN DEMAND FOR SOPHISTICATED DATA MANAGEMENT AND ANALYSIS TO DRIVE MARKET 85
TABLE 18 SOLUTIONS: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 85
TABLE 19 SOLUTIONS: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 86
6.3 SERVICES 86
6.3.1 GROWING NEED TO IMPROVE EFFICIENCY TO BOOST MARKET 86
TABLE 20 SERVICES: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 86
TABLE 21 SERVICES: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 87
6.3.2 MANAGED SERVICES 87
6.3.3 PROFESSIONAL SERVICES 87
7 KNOWLEDGE GRAPH MARKET, BY MODEL TYPE 88
7.1 INTRODUCTION 89
7.1.1 MODEL TYPE: KNOWLEDGE GRAPH MARKET DRIVERS 89
FIGURE 28 CONCEPTUAL GRAPHS TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 89
TABLE 22 KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2018–2022 (USD MILLION) 90
TABLE 23 KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2023–2028 (USD MILLION) 90
7.2 RDF GRAPHS 90
7.2.1 NEED TO ADOPT INTELLIGENT DATA MANAGEMENT SOLUTIONS TO DRIVE MARKET 90
TABLE 24 RDF GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 91
TABLE 25 RDF GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 91
7.3 CONCEPTUAL GRAPHS 91
7.3.1 LOGICAL INFERENCE, KNOWLEDGE DISCOVERY, AND STRUCTURED REPRESENTATION OF DATA TO PROPEL MARKET GROWTH 91
TABLE 26 CONCEPTUAL GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 92
TABLE 27 CONCEPTUAL GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 92
7.4 SEMANTIC GRAPHS 92
7.4.1 SEAMLESS INTEGRATION OF DISPARATE DATA SOURCES TO FUEL MARKET GROWTH 92
TABLE 28 SEMANTIC GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 93
TABLE 29 SEMANTIC GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 93
8 KNOWLEDGE GRAPH MARKET, BY DATA SOURCE 94
8.1 INTRODUCTION 95
8.1.1 DATA SOURCE: KNOWLEDGE GRAPH MARKET DRIVERS 95
FIGURE 29 STRUCTURED DATA PROJECTED TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 95
TABLE 30 KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2018–2022 (USD MILLION) 96
TABLE 31 KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2023–2028 (USD MILLION) 96
8.2 STRUCTURED DATA 96
8.2.1 GROWING NEED FOR DATA ACCURACY AND CONSISTENCY TO ACCELERATE MARKET GROWTH 96
TABLE 32 STRUCTURED DATA: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 97
TABLE 33 STRUCTURED DATA: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 97
8.3 UNSTRUCTURED DATA 97
8.3.1 INCREASING FOCUS ON UNSTRUCTURED DATA SOURCES TO BOOST RESEARCH IN DATA ENRICHMENT AND CONTEXTUAL UNDERSTANDING 97
TABLE 34 UNSTRUCTURED DATA: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 98
TABLE 35 UNSTRUCTURED DATA: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 98
8.4 SEMI-STRUCTURED DATA 98
8.4.1 SEMI-STRUCTURED DATA SOURCES TO ASSIST ENTERPRISES IN PERCEPTIVE DEPICTION OF INTRICATE INFORMATION 98
TABLE 36 SEMI-STRUCTURED DATA: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 99
TABLE 37 SEMI-STRUCTURED DATA: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 99
9 KNOWLEDGE GRAPH MARKET, BY APPLICATION 100
9.1 INTRODUCTION 101
9.1.1 APPLICATION: KNOWLEDGE GRAPH MARKET DRIVERS 101
FIGURE 30 SEMANTIC SEARCH EXPECTED TO ACCOUNT FOR LARGEST MARKET IN 2028 101
TABLE 38 KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2018–2022 (USD MILLION) 102
TABLE 39 KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 102
9.2 SEMANTIC SEARCH 102
9.2.1 NEED FOR ENHANCED SEARCH FUNCTIONALITIES TO DRIVE THE MARKET 102
TABLE 40 SEMANTIC SEARCH: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 103
TABLE 41 SEMANTIC SEARCH: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 103
9.3 QUESTION ANSWERING 103
9.3.1 INTEGRATION OF KNOWLEDGE FROM SEVERAL DISCIPLINES AND OFFERING PERSONALIZED RECOMMENDATIONS TO DRIVE MARKET 103
TABLE 42 QUESTION ANSWERING: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 104
TABLE 43 QUESTION ANSWERING: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 104
9.4 RECOMMENDATION SYSTEMS 104
9.4.1 WIDESPREAD KNOWLEDGE OF INTRICATE IDEAS THROUGH CROSS-DOMAIN INFORMATION INTEGRATION TO BOOST MARKET 104
TABLE 44 RECOMMENDATION SYSTEMS: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 105
TABLE 45 RECOMMENDATION SYSTEMS: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 105
9.5 ENTERPRISE KNOWLEDGE MANAGEMENT 105
9.5.1 STREAMLINING OF TEAMWORK AND KNOWLEDGE EXCHANGE TO ACCELERATE MARKET GROWTH 105
TABLE 46 ENTERPRISE KNOWLEDGE MANAGEMENT: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 106
TABLE 47 ENTERPRISE KNOWLEDGE MANAGEMENT: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 106
9.6 OTHER APPLICATIONS 106
TABLE 48 OTHER APPLICATIONS: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 107
TABLE 49 OTHER APPLICATIONS: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 107
10 KNOWLEDGE GRAPH MARKET, BY TYPE 108
10.1 INTRODUCTION 109
10.1.1 TYPE: KNOWLEDGE GRAPH MARKET DRIVERS 109
FIGURE 31 NLP GRAPHS EXPECTED TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 110
TABLE 50 KNOWLEDGE GRAPH MARKET, BY TYPE, 2018–2022 (USD MILLION) 110
TABLE 51 KNOWLEDGE GRAPH MARKET, BY TYPE, 2023–2028 (USD MILLION) 110
10.2 CONTEXT-RICH KNOWLEDGE GRAPHS 111
10.2.1 CONTEXT-RICH KNOWLEDGE GRAPHS TO HELP ORGANIZATIONS ACHIEVE OPERATIONAL EXCELLENCE AND COMPETITIVE ADVANTAGE 111
TABLE 52 CONTEXT-RICH KNOWLEDGE GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 111
TABLE 53 CONTEXT-RICH KNOWLEDGE GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 111
10.3 EXTERNAL-SENSING KNOWLEDGE GRAPHS 112
10.3.1 REAL-TIME UPDATES FROM EXTERNAL-SENSING KNOWLEDGE GRAPHS TO FOSTER FLEXIBILITY AND AGILITY 112
TABLE 54 EXTERNAL-SENSING KNOWLEDGE GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 112
TABLE 55 EXTERNAL-SENSING KNOWLEDGE GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 112
10.4 NLP KNOWLEDGE GRAPHS 113
10.4.1 KNOWLEDGE DISCOVERY AND DATA INTEGRATION TO FUEL MARKET GROWTH 113
TABLE 56 NLP KNOWLEDGE GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 113
TABLE 57 NLP KNOWLEDGE GRAPHS: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 113
11 KNOWLEDGE GRAPH MARKET, BY VERTICAL 114
11.1 INTRODUCTION 115
11.1.1 VERTICAL: KNOWLEDGE GRAPH MARKET DRIVERS 115
FIGURE 32 IT & ITES TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 116
TABLE 58 KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2018–2022 (USD MILLION) 116
TABLE 59 KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 117
11.2 BFSI 117
11.2.1 INCREASING NEED TO MANAGE COMPLEX DATA TO SUPPORT MARKET GROWTH 117
TABLE 60 BFSI: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 117
TABLE 61 BFSI: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 118
11.2.2 CASE STUDY 118
11.2.2.1 Prominent financial institution was able to combat money laundering with TigerGraph 118
11.3 RETAIL & ECOMMERCE 118
11.3.1 OPTIMIZED INVENTORY MANAGEMENT FACILITATED BY KNOWLEDGE GRAPHS TO DRIVE MARKET 118
TABLE 62 RETAIL & ECOMMERCE: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 119
TABLE 63 RETAIL & ECOMMERCE: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 119
11.3.2 CASE STUDY 119
11.3.2.1 Retailer improved store operations and increased customer satisfaction using TigerGraph 119
11.4 MANUFACTURING & AUTOMOTIVE 120
11.4.1 EASY PREDICTIVE MAINTENANCE AND DECREASE IN DOWNTIME TO SUPPORT MARKET GROWTH 120
TABLE 64 MANUFACTURING & AUTOMOTIVE: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 120
TABLE 65 MANUFACTURING & AUTOMOTIVE: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 120
11.4.2 CASE STUDY 121
11.4.2.1 Leading building automation systems (BAS) manufacturers used Brick schema to represent BAS components and their complex interactions 121
11.5 IT & ITES 121
11.5.1 DEVELOPMENT OF INNOVATIVE TECHNOLOGIES TO DRIVE MARKET 121
TABLE 66 IT & ITES: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 121
TABLE 67 IT & ITES: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 122
11.5.2 CASE STUDY 122
11.5.2.1 Technology giant improved customer experiences with TigerGraph 122
11.6 TELECOM 122
11.6.1 OPTIMIZED INTRICATE NETWORK INFRASTRUCTURE AND CUSTOMIZED SERVICE OFFERINGS TO FUEL MARKET GROWTH 122
TABLE 68 TELECOM: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 122
TABLE 69 TELECOM: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 123
11.6.2 CASE STUDY 123
11.6.2.1 Orange used Thing’in to build digital twin platform 123
11.7 MEDIA & ENTERTAINMENT 123
11.7.1 IMPROVED CONTENT MANAGEMENT PROCEDURES AND BETTER DATA-DRIVEN DECISIONS TO BOOST MARKET 123
TABLE 70 MEDIA & ENTERTAINMENT: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 124
TABLE 71 MEDIA & ENTERTAINMENT: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 124
11.7.2 CASE STUDY 124
11.7.2.1 Perfect Memory and Ontotext developed custom data program platform based on knowledge graph solution to streamline data management 124
11.8 HEALTHCARE 125
11.8.1 NEED TO REVOLUTIONIZE HEALTHCARE PRACTICES TO PROPEL ADOPTION OF KNOWLEDGE GRAPHS 125
TABLE 72 HEALTHCARE: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 125
TABLE 73 HEALTHCARE: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 125
11.8.2 CASE STUDY 126
11.8.2.1 Amgen improved quality of healthcare by identifying influencers and referral networks using TigerGraph 126
11.9 GOVERNMENT 126
11.9.1 SPEEDY DATA INTEGRATION AND INTEROPERABILITY TO BOOST MARKET 126
TABLE 74 GOVERNMENT: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 126
TABLE 75 GOVERNMENT: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 126
11.9.2 CASE STUDY 127
11.9.2.1 State Grid Corporation of China created speedy energy management system with assistance of TigerGraph 127
11.10 OTHER VERTICALS 127
TABLE 76 OTHER VERTICALS: KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 127
TABLE 77 OTHER VERTICALS: KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 127
12 KNOWLEDGE GRAPH MARKET, BY REGION 128
12.1 INTRODUCTION 129
FIGURE 33 KNOWLEDGE GRAPH MARKET: REGIONAL SNAPSHOT, 2023 129
FIGURE 34 ASIA PACIFIC TO ACCOUNT FOR HIGHEST CAGR DURING FORECAST PERIOD 130
TABLE 78 KNOWLEDGE GRAPH MARKET, BY REGION, 2018–2022 (USD MILLION) 130
TABLE 79 KNOWLEDGE GRAPH MARKET, BY REGION, 2023–2028 (USD MILLION) 130
12.2 NORTH AMERICA 131
FIGURE 35 NORTH AMERICA: MARKET SNAPSHOT 132
12.2.1 NORTH AMERICA: KNOWLEDGE GRAPH MARKET DRIVERS 132
12.2.2 NORTH AMERICA: RECESSION IMPACT 133
TABLE 80 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2018–2022 (USD MILLION) 133
TABLE 81 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2023–2028 (USD MILLION) 133
TABLE 82 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY TYPE, 2018–2022 (USD MILLION) 133
TABLE 83 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY TYPE, 2023–2028 (USD MILLION) 134
TABLE 84 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2018–2022 (USD MILLION) 134
TABLE 85 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2023–2028 (USD MILLION) 134
TABLE 86 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2018–2022 (USD MILLION) 134
TABLE 87 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2023–2028 (USD MILLION) 135
TABLE 88 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2018–2022 (USD MILLION) 135
TABLE 89 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 135
TABLE 90 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2018–2022 (USD MILLION) 136
TABLE 91 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 136
TABLE 92 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2018–2022 (USD MILLION) 137
TABLE 93 NORTH AMERICA: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 137
12.2.3 US 137
12.2.3.1 Spike in demand for advanced solutions and data-driven adoption initiatives to drive market 137
TABLE 94 US: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2018–2022 (USD MILLION) 138
TABLE 95 US: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2023–2028 (USD MILLION) 138
TABLE 96 US: KNOWLEDGE GRAPH MARKET, BY TYPE, 2018–2022 (USD MILLION) 138
TABLE 97 US: KNOWLEDGE GRAPH MARKET, BY TYPE, 2023–2028 (USD MILLION) 138
TABLE 98 US: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2018–2022 (USD MILLION) 139
TABLE 99 US: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2023–2028 (USD MILLION) 139
TABLE 100 US: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2018–2022 (USD MILLION) 139
TABLE 101 US: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2023–2028 (USD MILLION) 139
TABLE 102 US: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2018–2022 (USD MILLION) 140
TABLE 103 US: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 140
TABLE 104 US: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2018–2022 (USD MILLION) 140
TABLE 105 US: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 141
12.2.4 CANADA 141
12.2.4.1 Need for real-time decision-making to drive market 141
12.3 EUROPE 141
12.3.1 EUROPE: KNOWLEDGE GRAPH MARKET DRIVERS 142
12.3.2 EUROPE: RECESSION IMPACT 142
TABLE 106 EUROPE: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2018–2022 (USD MILLION) 143
TABLE 107 EUROPE: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2023–2028 (USD MILLION) 143
TABLE 108 EUROPE: KNOWLEDGE GRAPH MARKET, BY TYPE, 2018–2022 (USD MILLION) 143
TABLE 109 EUROPE: KNOWLEDGE GRAPH MARKET, BY TYPE, 2023–2028 (USD MILLION) 143
TABLE 110 EUROPE: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2018–2022 (USD MILLION) 144
TABLE 111 EUROPE: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2023–2028 (USD MILLION) 144
TABLE 112 EUROPE: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2018–2022 (USD MILLION) 144
TABLE 113 EUROPE: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2023–2028 (USD MILLION) 144
TABLE 114 EUROPE: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2018–2022 (USD MILLION) 145
TABLE 115 EUROPE: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 145
TABLE 116 EUROPE: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2018–2022 (USD MILLION) 145
TABLE 117 EUROPE: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 146
TABLE 118 EUROPE: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2018–2022 (USD MILLION) 146
TABLE 119 EUROPE: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 146
12.3.3 UK 147
12.3.3.1 Government initiatives supporting integration of knowledge graphs to boost market 147
TABLE 120 UK: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2018–2022 (USD MILLION) 147
TABLE 121 UK: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2023–2028 (USD MILLION) 147
TABLE 122 UK: KNOWLEDGE GRAPH MARKET, BY TYPE, 2018–2022 (USD MILLION) 147
TABLE 123 UK: KNOWLEDGE GRAPH MARKET, BY TYPE, 2023–2028 (USD MILLION) 148
TABLE 124 UK: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2018–2022 (USD MILLION) 148
TABLE 125 UK: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2023–2028 (USD MILLION) 148
TABLE 126 UK: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2018–2022 (USD MILLION) 148
TABLE 127 UK: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2023–2028 (USD MILLION) 149
TABLE 128 UK: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2018–2022 (USD MILLION) 149
TABLE 129 UK: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 149
TABLE 130 UK: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2018–2022 (USD MILLION) 150
TABLE 131 UK: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 150
12.3.4 GERMANY 150
12.3.4.1 Increasing digitalization and technological advancements to propel market 150
12.3.5 FRANCE 151
12.3.5.1 Rising demand for data management and integration to drive market 151
12.3.6 ITALY 151
12.3.6.1 Proliferation of social networks and supply chain networks to boost market 151
TABLE 132 ITALY: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2018–2022 (USD MILLION) 151
TABLE 133 ITALY: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2023–2028 (USD MILLION) 152
TABLE 134 ITALY: KNOWLEDGE GRAPH MARKET, BY TYPE, 2018–2022 (USD MILLION) 152
TABLE 135 ITALY: KNOWLEDGE GRAPH MARKET, BY TYPE, 2023–2028 (USD MILLION) 152
TABLE 136 ITALY: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2018–2022 (USD MILLION) 152
TABLE 137 ITALY: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2023–2028 (USD MILLION) 153
TABLE 138 ITALY: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2018–2022 (USD MILLION) 153
TABLE 139 ITALY: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2023–2028 (USD MILLION) 153
TABLE 140 ITALY: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2018–2022 (USD MILLION) 153
TABLE 141 ITALY: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 154
TABLE 142 ITALY: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2018–2022 (USD MILLION) 154
TABLE 143 ITALY: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 154
12.3.7 SPAIN 155
12.3.7.1 Implementation of knowledge graphs by logistics companies to optimize supply chain operations to accelerate market 155
12.3.8 REST OF EUROPE 155
12.4 ASIA PACIFIC 155
FIGURE 36 ASIA PACIFIC: MARKET SNAPSHOT 156
12.4.1 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET DRIVERS 156
12.4.2 ASIA PACIFIC: RECESSION IMPACT 157
TABLE 144 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2018–2022 (USD MILLION) 157
TABLE 145 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2023–2028 (USD MILLION) 157
TABLE 146 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY TYPE, 2018–2022 (USD MILLION) 157
TABLE 147 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY TYPE, 2023–2028 (USD MILLION) 158
TABLE 148 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2018–2022 (USD MILLION) 158
TABLE 149 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2023–2028 (USD MILLION) 158
TABLE 150 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2018–2022 (USD MILLION) 158
TABLE 151 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2023–2028 (USD MILLION) 159
TABLE 152 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2018–2022 (USD MILLION) 159
TABLE 153 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 159
TABLE 154 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2018–2022 (USD MILLION) 160
TABLE 155 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 160
TABLE 156 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2018–2022 (USD MILLION) 160
TABLE 157 ASIA PACIFIC: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 161
12.4.3 CHINA 161
12.4.3.1 Increasing R&D investments and government support to boost market 161
TABLE 158 CHINA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2018–2022 (USD MILLION) 161
TABLE 159 CHINA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2023–2028 (USD MILLION) 161
TABLE 160 CHINA: KNOWLEDGE GRAPH MARKET, BY TYPE, 2018–2022 (USD MILLION) 162
TABLE 161 CHINA: KNOWLEDGE GRAPH MARKET, BY TYPE, 2023–2028 (USD MILLION) 162
TABLE 162 CHINA: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2018–2022 (USD MILLION) 162
TABLE 163 CHINA: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2023–2028 (USD MILLION) 162
TABLE 164 CHINA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2018–2022 (USD MILLION) 163
TABLE 165 CHINA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2023–2028 (USD MILLION) 163
TABLE 166 CHINA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2018–2022 (USD MILLION) 163
TABLE 167 CHINA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 163
TABLE 168 CHINA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2018–2022 (USD MILLION) 164
TABLE 169 CHINA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 164
12.4.4 JAPAN 165
12.4.4.1 Robust technological sector and persistent focus on innovation to boost market 165
12.4.5 INDIA 165
12.4.5.1 Increasing adoption of digital services to drive market 165
12.4.6 AUSTRALIA & NEW ZEALAND 165
12.4.6.1 Growing infrastructure developments to boost market 165
12.4.7 REST OF ASIA PACIFIC 165
12.5 MIDDLE EAST & AFRICA 166
12.5.1 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET DRIVERS 166
12.5.2 MIDDLE EAST & AFRICA: RECESSION IMPACT 166
TABLE 170 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2018–2022 (USD MILLION) 167
TABLE 171 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2023–2028 (USD MILLION) 167
TABLE 172 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY TYPE, 2018–2022 (USD MILLION) 167
TABLE 173 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY TYPE, 2023–2028 (USD MILLION) 167
TABLE 174 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2018–2022 (USD MILLION) 168
TABLE 175 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2023–2028 (USD MILLION) 168
TABLE 176 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2018–2022 (USD MILLION) 168
TABLE 177 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2023–2028 (USD MILLION) 168
TABLE 178 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2018–2022 (USD MILLION) 169
TABLE 179 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 169
TABLE 180 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2018–2022 (USD MILLION) 169
TABLE 181 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 170
TABLE 182 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2018–2022 (USD MILLION) 170
TABLE 183 MIDDLE EAST & AFRICA: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 170
12.5.3 GCC 171
12.5.3.1 Growing awareness of benefits of knowledge graphs to drive market 171
12.5.4 SOUTH AFRICA 171
12.5.4.1 Pivotal role of knowledge graphs in driving innovation and informed decision-making to fuel market growth 171
12.5.5 REST OF MIDDLE EAST & AFRICA 171
12.6 LATIN AMERICA 172
12.6.1 LATIN AMERICA: KNOWLEDGE GRAPH MARKET DRIVERS 172
12.6.2 LATIN AMERICA: RECESSION IMPACT 172
TABLE 184 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2018–2022 (USD MILLION) 172
TABLE 185 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY OFFERING, 2023–2028 (USD MILLION) 173
TABLE 186 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY TYPE, 2018–2022 (USD MILLION) 173
TABLE 187 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY TYPE, 2023–2028 (USD MILLION) 173
TABLE 188 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2018–2022 (USD MILLION) 173
TABLE 189 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY DATA SOURCE, 2023–2028 (USD MILLION) 174
TABLE 190 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2018–2022 (USD MILLION) 174
TABLE 191 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY MODEL TYPE, 2023–2028 (USD MILLION) 174
TABLE 192 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2018–2022 (USD MILLION) 175
TABLE 193 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 175
TABLE 194 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2018–2022 (USD MILLION) 175
TABLE 195 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 176
TABLE 196 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2018–2022 (USD MILLION) 176
TABLE 197 LATIN AMERICA: KNOWLEDGE GRAPH MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 176
12.6.3 BRAZIL 177
12.6.3.1 Spike in demand for quick and real-time data access to propel market 177
12.6.4 MEXICO 177
12.6.4.1 Rising need for efficient data management and growing adoption of AI & ML technologies to drive market 177
12.6.5 REST OF LATIN AMERICA 177
13 COMPETITIVE LANDSCAPE 178
13.1 OVERVIEW 178
13.2 STRATEGIES ADOPTED BY KEY PLAYERS 178
TABLE 198 OVERVIEW OF STRATEGIES ADOPTED BY KEY PLAYERS IN KNOWLEDGE GRAPH MARKET 178
13.3 COMPETITIVE SCENARIO 179
13.4 MARKET SHARE ANALYSIS 179
TABLE 199 KNOWLEDGE GRAPH MARKET: DEGREE OF COMPETITION 179
13.5 HISTORICAL REVENUE ANALYSIS 180
FIGURE 37 HISTORICAL THREE-YEAR REVENUE ANALYSIS OF LEADING PLAYERS, 2020–2022 (USD MILLION) 180
13.6 RANKING OF KEY PLAYERS IN KNOWLEDGE GRAPH MARKET, 2023 181
FIGURE 38 MARKET RANKING OF KEY PLAYERS, 2023 181
13.7 COMPANY EVALUATION MATRIX METHODOLOGY 181
FIGURE 39 COMPANY EVALUATION MATRIX: CRITERIA WEIGHTAGE 181
13.7.1 STARS 182
13.7.2 EMERGING LEADERS 182
13.7.3 PERVASIVE PLAYERS 182
13.7.4 PARTICIPANTS 182
FIGURE 40 KNOWLEDGE GRAPH MARKET: COMPANY EVALUATION MATRIX, 2023 183
13.8 STARTUP/SME EVALUATION MATRIX METHODOLOGY AND DEFINITIONS 184
FIGURE 41 STARTUP/SME EVALUATION MATRIX: CRITERIA WEIGHTAGE 184
13.8.1 PROGRESSIVE COMPANIES 184
13.8.2 RESPONSIVE COMPANIES 184
13.8.3 DYNAMIC COMPANIES 184
13.8.4 STARTING BLOCKS 184
FIGURE 42 KNOWLEDGE GRAPH MARKET: STARTUP/SME EVALUATION MATRIX 185
13.9 COMPANY FOOTPRINT 185
TABLE 200 KNOWLEDGE GRAPH MARKET: COMPANY FOOTPRINT ANALYSIS 185
13.10 COMPETITIVE BENCHMARKING 186
TABLE 201 DETAILED LIST OF STARTUPS/SMES 186
TABLE 202 COMPETITIVE BENCHMARKING OF STARTUPS/SMES 187
TABLE 203 COMPETITIVE BENCHMARKING OF KEY PLAYERS 188
13.11 COMPETITIVE SCENARIO 188
13.11.1 PRODUCT LAUNCHES 188
TABLE 204 KNOWLEDGE GRAPH MARKET: PRODUCT LAUNCHES, 2019–2023 189
13.11.2 DEALS 190
TABLE 205 KNOWLEDGE GRAPH MARKET: DEALS, 2019–2023 190
13.12 KNOWLEDGE GRAPH PRODUCT BENCHMARKING 192
TABLE 206 COMPARATIVE ANALYSIS OF PROMINENT KNOWLEDGE GRAPH SOLUTIONS 192
13.13 VALUATION AND FINANCIAL METRICS OF KEY KNOWLEDGE GRAPH VENDORS 192
FIGURE 43 VALUATION AND FINANCIAL METRICS OF KNOWLEDGE GRAPH VENDORS 192
14 COMPANY PROFILES 193
(Business overview, Products/Solutions/Services offered, Recent Developments, MNM view)*
14.1 KEY PLAYERS 193
14.1.1 IBM 193
TABLE 207 IBM: BUSINESS OVERVIEW 193
FIGURE 44 IBM: COMPANY SNAPSHOT 194
TABLE 208 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED 194
TABLE 209 IBM: PRODUCT LAUNCHES/ENHANCEMENTS 195
TABLE 210 IBM: DEALS 195
14.1.2 MICROSOFT 197
TABLE 211 MICROSOFT: BUSINESS OVERVIEW 197
FIGURE 45 MICROSOFT: COMPANY SNAPSHOT 198
TABLE 212 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED 198
14.1.3 AWS 200
TABLE 213 AWS: COMPANY OVERVIEW 200
FIGURE 46 AWS: COMPANY SNAPSHOT 200
TABLE 214 AWS: PRODUCTS/SOLUTIONS/SERVICES OFFERED 201
TABLE 215 AWS: PRODUCT LAUNCHES/ENHANCEMENTS 201
TABLE 216 AWS: DEALS 201
14.1.4 NEO4J 203
TABLE 217 NEO4J: COMPANY OVERVIEW 203
TABLE 218 NEO4J: PRODUCTS/SOLUTIONS/SERVICES OFFERED 203
TABLE 219 NEO4J: PRODUCT LAUNCHES/ENHANCEMENTS 204
TABLE 220 NEO4J: DEALS 204
14.1.5 TIGERGRAPH 205
TABLE 221 TIGERGRAPH: COMPANY OVERVIEW 205
TABLE 222 TIGERGRAPH: PRODUCTS/SOLUTIONS/SERVICES OFFERED 205
TABLE 223 TIGERGRAPH: DEALS 206
14.1.6 SAP 207
TABLE 224 SAP: BUSINESS OVERVIEW 207
FIGURE 47 SAP: COMPANY SNAPSHOT 208
TABLE 225 SAP: PRODUCTS/SOLUTIONS/SERVICES OFFERED 208
TABLE 226 SAP: DEALS 209
14.1.7 ORACLE 210
TABLE 227 ORACLE: COMPANY OVERVIEW 210
FIGURE 48 ORACLE: COMPANY SNAPSHOT 211
TABLE 228 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED 211
TABLE 229 ORACLE: PRODUCT LAUNCHES/ENHANCEMENTS 212
14.1.8 STARDOG 213
TABLE 230 STARDOG: COMPANY OVERVIEW 213
TABLE 231 STARDOG: PRODUCTS/SOLUTIONS/SERVICES OFFERED 213
TABLE 232 STARDOG: PRODUCT LAUNCHES/ENHANCEMENTS 214
TABLE 233 STARDOG: DEALS 214
14.1.9 FRANZ INC. 215
TABLE 234 FRANZ INC.: COMPANY OVERVIEW 215
TABLE 235 FRANZ INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED 215
TABLE 236 FRANZ INC.: PRODUCT LAUNCHES/ENHANCEMENTS 216
TABLE 237 FRANZ INC.: DEALS 216
14.1.10 ONTOTEXT 217
TABLE 238 ONTOTEXT: COMPANY OVERVIEW 217
TABLE 239 ONTOTEXT: PRODUCTS/SOLUTIONS/SERVICES OFFERED 217
TABLE 240 ONTOTEXT: PRODUCT LAUNCHES/ENHANCEMENTS 218
TABLE 241 ONTOTEXT: DEALS 218
14.1.11 SEMANTIC WEB COMPANY 219
14.1.12 OPENLINK SOFTWARE 219
14.1.13 MARKLOGIC 220
14.2 OTHER PLAYERS/STARTUPS 221
14.2.1 DATAVID 221
14.2.2 GRAPHBASE 221
14.2.3 CAMBRIDGE SEMANTICS 222
14.2.4 CONVERSIGHT 223
14.2.5 ECCENA 223
14.2.6 ARANGODB 224
14.2.7 FLUREE 224
14.2.8 DIFFBOT 225
14.2.9 BITNINE 225
14.2.10 MEMGRAPH 226
14.2.11 GRAPHAWARE 226
14.2.12 ONLIM 227
*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 228
15.1 INTRODUCTION TO ADJACENT MARKETS 228
TABLE 242 ADJACENT MARKETS AND FORECASTS 228
15.2 LIMITATIONS 228
15.3 GRAPH DATABASE MARKET 228
TABLE 243 GRAPH DATABASE MARKET, BY OFFERING, 2018–2022 (USD MILLION) 228
TABLE 244 GRAPH DATABASE MARKET, BY OFFERING, 2023–2028 (USD MILLION) 229
TABLE 245 GRAPH DATABASE MARKET, BY MODEL TYPE, 2018–2022 (USD MILLION) 229
TABLE 246 GRAPH DATABASE MARKET, BY MODEL TYPE, 2023–2028 (USD MILLION) 229
TABLE 247 GRAPH DATABASE MARKET, BY ANALYSIS TYPE, 2018–2022 (USD MILLION) 229
TABLE 248 GRAPH DATABASE MARKET, BY ANALYSIS TYPE, 2023–2028 (USD MILLION) 230
TABLE 249 GRAPH DATABASE MARKET, BY VERTICAL, 2018–2022 (USD MILLION) 230
TABLE 250 GRAPH DATABASE MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 231
TABLE 251 GRAPH DATABASE MARKET, BY REGION, 2018–2022 (USD MILLION) 231
TABLE 252 GRAPH DATABASE MARKET, BY REGION, 2023–2028 (USD MILLION) 231
15.4 NATURAL LANGUAGE PROCESSING (NLP) MARKET 232
TABLE 253 NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2017–2022 (USD MILLION) 232
TABLE 254 NATURAL LANGUAGE PROCESSING MARKET, BY OFFERING, 2023–2028 (USD MILLION) 232
TABLE 255 NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2017–2022 (USD MILLION) 232
TABLE 256 NATURAL LANGUAGE PROCESSING MARKET, BY TYPE, 2023–2028 (USD MILLION) 232
TABLE 257 FRAUD DETECTION AND PREVENTION MARKET, BY OFFERING, 2023–2028 (USD MILLION) 233
TABLE 258 NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2017–2022 (USD MILLION) 233
TABLE 259 NATURAL LANGUAGE PROCESSING MARKET, BY APPLICATION, 2023–2028 (USD MILLION) 233
TABLE 260 NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY, 2017–2022 (USD MILLION) 234
TABLE 261 NATURAL LANGUAGE PROCESSING MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION) 234
TABLE 262 NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2017–2022 (USD MILLION) 234
TABLE 263 NATURAL LANGUAGE PROCESSING MARKET, BY VERTICAL, 2023–2028 (USD MILLION) 235
TABLE 264 NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2017–2022 (USD MILLION) 235
TABLE 265 NATURAL LANGUAGE PROCESSING MARKET, BY REGION, 2023–2028 (USD MILLION) 235
16 APPENDIX 236
16.1 DISCUSSION GUIDE 236
16.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 239
16.3 CUSTOMIZATION OPTIONS 241
16.4 RELATED REPORTS 241
16.5 AUTHOR DETAILS 242