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市場調査レポート

グラフデータベースの世界市場 - 2024年までの予測:リソースディスクリプションフレームワーク (RDF)、プロパティグラフ

Graph Database Market by Type (RDF and Property Graph), Application (Recommendation Engines, Fraud Detection, Risk and Compliance Management), Component (Tools and Services), Deployment Mode, Industry Vertical, and Region - Global Forecast to 2024

発行 MarketsandMarkets 商品コード 649248
出版日 ページ情報 英文 164 Pages
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グラフデータベースの世界市場 - 2024年までの予測:リソースディスクリプションフレームワーク (RDF)、プロパティグラフ Graph Database Market by Type (RDF and Property Graph), Application (Recommendation Engines, Fraud Detection, Risk and Compliance Management), Component (Tools and Services), Deployment Mode, Industry Vertical, and Region - Global Forecast to 2024
出版日: 2019年09月16日 ページ情報: 英文 164 Pages
概要

世界のグラフデータベース市場は、2019年の10億米ドルから、2024年までに29億米ドルまで拡大すると見られています。市場は、2019年~2024年のCAGR (複合年間成長率) で、22.2%の成長が予測されています。

当レポートでは、世界のグラフデータベース市場について調査分析し、市場概要、産業動向、セグメント別の市場分析、競合情勢、主要企業などについて、体系的な情報を提供しています。

649248_4.2 GRAPH DATABASE MARKET TOP 3 APPLICATIONS_FIGURE 12

第1章 イントロダクション

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 重要考察

  • グラフデータベース市場の魅力的な市場機会
  • グラフデータベース市場:3大アプリケーション

第5章 市場概要と産業動向

  • イントロダクション
  • 市場力学
    • 促進要因
    • 抑制要因
    • 機会
    • 課題
  • 産業動向
  • 規制の影響

第6章 グラフデータベースの世界市場:種類別

  • イントロダクション
  • リソースディスクリプションフレームワーク (RDF)
  • プロパティグラフ

第7章 グラフデータベースの世界市場:コンポーネント別

  • イントロダクション
  • ツール
  • サービス

第8章 グラフデータベースの世界市場:アプリケーション別

  • イントロダクション
  • カスタマーアナリティクス
  • リスク・コンプライアンス管理
  • リコメンデーションエンジン
  • 不正検出
  • サプライチェーン管理
  • その他

第9章 グラフデータベースの世界市場:展開モード別

  • イントロダクション
  • クラウド
  • オンプレミス

第10章 グラフデータベースの世界市場:組織規模別

  • イントロダクション
  • 中小企業
  • 大企業

第11章 グラフデータベースの世界市場:産業分野別

  • イントロダクション
  • BFSI
  • 通信・IT
  • 小売・Eコマース
  • 医療・ライフサイエンス
  • 製造
  • 政府・公共部門
  • 輸送・ロジスティクス
  • その他

第12章 グラフデータベースの世界市場:地域別

  • イントロダクション
  • 北米
  • 欧州
  • アジア太平洋地域
  • 中東・アフリカ
  • ラテンアメリカ

第13章 競合情勢

  • 競合リーダーシップマッピング
  • 製品ポートフォリオの強み
  • 事業戦略の優秀性

第14章 企業プロファイル

  • IBM
  • ORACLE
  • MICROSOFT
  • AWS
  • NEO4J
  • ORIENTDB
  • TIBCO
  • TERADATA
  • FRANZ
  • OPENLINK SOFTWARE
  • MARKLOGIC
  • TIGERGRAPH
  • CRAY
  • DATASTAX
  • ONTOTEXT
  • STARDOG
  • ARANGODB
  • BITNINE
  • OBJECTIVITY
  • CAMBRIDGE SEMANTICS
  • FLUREE
  • BLAZEGRAPH
  • MEMGRAPH

第15章 付録

図表

LIST OF TABLES

  • TABLE 1: FACTOR ANALYSIS
  • TABLE 2: EVALUATION CRITERIA
  • TABLE 3: GLOBAL GRAPH DATABASE MARKET SIZE AND GROWTH RATE, 2017-2024 (USD MILLION, Y-O-Y %)
  • TABLE 4: GRAPH DATABASE MARKET SIZE, BY TYPE, 2017-2024 (USD MILLION)
  • TABLE 5: GRAPH DATABASE MARKET SIZE, BY COMPONENT, 2017-2024 (USD MILLION)
  • TABLE 6: SERVICES: GRAPH DATABASE MARKET SIZE, BY SERVICE TYPE, 2017-2024 (USD MILLION)
  • TABLE 7: PROFESSIONAL SERVICES MARKET SIZE, BY TYPE, 2017-2024 (USD MILLION)
  • TABLE 8: GRAPH DATABASE MARKET SIZE, BY APPLICATION, 2017-2024 (USD MILLION)
  • TABLE 9: GRAPH DATABASE MARKET SIZE, BY DEPLOYMENT MODE, 2017-2024 (USD MILLION)
  • TABLE 10: GRAPH DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2017-2024 (USD MILLION)
  • TABLE 11: GRAPH DATABASE MARKET SIZE, BY INDUSTRY VERTICAL, 2017-2024 (USD MILLION)
  • TABLE 12: GRAPH DATABASE MARKET SIZE, BY REGION, 2017-2024 (USD MILLION)
  • TABLE 13: NORTH AMERICA: GRAPH DATABASE MARKET SIZE, BY COMPONENT, 2017-2024 (USD MILLION)
  • TABLE 14: NORTH AMERICA: GRAPH DATABASE MARKET SIZE, BY SERVICE, 2017-2024 (USD MILLION)
  • TABLE 15: NORTH AMERICA: GRAPH DATABASE MARKET SIZE, BY PROFESSIONAL SERVICE, 2017-2024 (USD MILLION)
  • TABLE 16: NORTH AMERICA: GRAPH DATABASE MARKET SIZE, BY APPLICATION, 2017-2024 (USD MILLION)
  • TABLE 17: NORTH AMERICA: GRAPH DATABASE MARKET SIZE, BY TYPE, 2017-2024 (USD MILLION)
  • TABLE 18: NORTH AMERICA: GRAPH DATABASE MARKET SIZE, BY DEPLOYMENT MODE, 2017-2024 (USD MILLION)
  • TABLE 19: NORTH AMERICA: GRAPH DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2017-2024 (USD MILLION)
  • TABLE 20: NORTH AMERICA: GRAPH DATABASE MARKET SIZE, BY INDUSTRY VERTICAL, 2017-2024 (USD MILLION)
  • TABLE 21: NORTH AMERICA: GRAPH DATABASE MARKET SIZE, BY COUNTRY, 2017-2024 (USD MILLION)
  • TABLE 22: EUROPE: GRAPH DATABASE MARKET SIZE, BY COMPONENT, 2017-2024 (USD MILLION)
  • TABLE 23: EUROPE: GRAPH DATABASE MARKET SIZE, BY SERVICE, 2017-2024 (USD MILLION)
  • TABLE 24: EUROPE: GRAPH DATABASE MARKET SIZE, BY PROFESSIONAL SERVICE, 2017-2024 (USD MILLION)
  • TABLE 25: EUROPE: GRAPH DATABASE MARKET SIZE, BY APPLICATION, 2017-2024 (USD MILLION)
  • TABLE 26: EUROPE: GRAPH DATABASE MARKET SIZE, BY TYPE, 2017-2024 (USD MILLION)
  • TABLE 27: EUROPE: GRAPH DATABASE MARKET SIZE, BY DEPLOYMENT MODE, 2017-2024 (USD MILLION)
  • TABLE 28: EUROPE: GRAPH DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2017-2024 (USD MILLION)
  • TABLE 29: EUROPE: GRAPH DATABASE MARKET SIZE, BY INDUSTRY VERTICAL, 2017-2024 (USD MILLION)
  • TABLE 30: EUROPE: GRAPH DATABASE MARKET SIZE, BY COUNTRY, 2017-2024 (USD MILLION)
  • TABLE 31: ASIA PACIFIC: GRAPH DATABASE MARKET SIZE, BY COMPONENT, 2017-2024 (USD MILLION)
  • TABLE 32: ASIA PACIFIC: GRAPH DATABASE MARKET SIZE, BY SERVICE, 2017-2024 (USD MILLION)
  • TABLE 33: ASIA PACIFIC: GRAPH DATABASE MARKET SIZE, BY PROFESSIONAL SERVICE, 2017-2024 (USD MILLION)
  • TABLE 34: ASIA PACIFIC: GRAPH DATABASE MARKET SIZE, BY APPLICATION, 2017-2024 (USD MILLION)
  • TABLE 35: ASIA PACIFIC: GRAPH DATABASE MARKET SIZE, BY TYPE, 2017-2024 (USD MILLION)
  • TABLE 36: ASIA PACIFIC: GRAPH DATABASE MARKET SIZE, BY DEPLOYMENT MODE, 2017-2024 (USD MILLION)
  • TABLE 37: ASIA PACIFIC: GRAPH DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2017-2024 (USD MILLION)
  • TABLE 38: ASIA PACIFIC: GRAPH DATABASE MARKET SIZE, BY INDUSTRY VERTICAL, 2017-2024 (USD MILLION)
  • TABLE 39: ASIA PACIFIC: GRAPH DATABASE MARKET SIZE, BY COUNTRY, 2017-2024 (USD MILLION)
  • TABLE 40: MIDDLE EAST AND AFRICA: GRAPH DATABASE MARKET SIZE, BY COMPONENT, 2017-2024 (USD MILLION)
  • TABLE 41: MIDDLE EAST AND AFRICA: GRAPH DATABASE MARKET SIZE, BY SERVICE, 2017-2024 (USD MILLION)
  • TABLE 42: MIDDLE EAST AND AFRICA: GRAPH DATABASE MARKET SIZE, BY PROFESSIONAL SERVICE, 2017-2024 (USD MILLION)
  • TABLE 43: MIDDLE EAST AND AFRICA: GRAPH DATABASE MARKET SIZE, BY APPLICATION, 2017-2024 (USD MILLION)
  • TABLE 44: MIDDLE EAST AND AFRICA: GRAPH DATABASE MARKET SIZE, BY TYPE, 2017-2024 (USD MILLION)
  • TABLE 45: MIDDLE EAST AND AFRICA: GRAPH DATABASE MARKET SIZE, BY DEPLOYMENT MODE, 2017-2024 (USD MILLION)
  • TABLE 46: MIDDLE EAST AND AFRICA: GRAPH DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2017-2024 (USD MILLION)
  • TABLE 47: MIDDLE EAST AND AFRICA: GRAPH DATABASE MARKET SIZE, BY INDUSTRY VERTICAL, 2017-2024 (USD MILLION)
  • TABLE 48: MIDDLE EAST AND AFRICA: GRAPH DATABASE MARKET SIZE, BY COUNTRY, 2017-2024 (USD MILLION)
  • TABLE 49: LATIN AMERICA: GRAPH DATABASE MARKET SIZE, BY COMPONENT, 2017-2024 (USD MILLION)
  • TABLE 50: LATIN AMERICA: GRAPH DATABASE MARKET SIZE, BY SERVICE, 2017-2024 (USD MILLION)
  • TABLE 51: LATIN AMERICA: GRAPH DATABASE MARKET SIZE, BY PROFESSIONAL SERVICE, 2017-2024 (USD MILLION)
  • TABLE 52: LATIN AMERICA: GRAPH DATABASE MARKET SIZE, BY APPLICATION, 2017-2024 (USD MILLION)
  • TABLE 53: LATIN AMERICA: GRAPH DATABASE MARKET SIZE, BY TYPE, 2017-2024 (USD MILLION)
  • TABLE 54: LATIN AMERICA: GRAPH DATABASE MARKET SIZE, BY DEPLOYMENT MODE, 2017-2024 (USD MILLION)
  • TABLE 55: LATIN AMERICA: GRAPH DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2017-2024 (USD MILLION)
  • TABLE 56: LATIN AMERICA: GRAPH DATABASE MARKET SIZE, BY INDUSTRY VERTICAL, 2017-2024 (USD MILLION)
  • TABLE 57: LATIN AMERICA: GRAPH DATABASE MARKET SIZE, BY COUNTRY, 2017-2024 (USD MILLION)

LIST OF FIGURES

  • FIGURE 1: GRAPH DATABASE MARKET: RESEARCH DESIGN
  • FIGURE 2: BREAKUP OF PRIMARY INTERVIEWS: BY COMPANY, DESIGNATION, AND REGION
  • FIGURE 3: GRAPH DATABASE MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
  • FIGURE 4: GRAPH DATABASE MARKET SNAPSHOT, BY COMPONENT
  • FIGURE 5: GRAPH DATABASE MARKET SNAPSHOT, BY TYPE
  • FIGURE 6: GRAPH DATABASE MARKET SNAPSHOT, BY SERVICE
  • FIGURE 7: GRAPH DATABASE MARKET SNAPSHOT, BY PROFESSIONAL SERVICE
  • FIGURE 8: GRAPH DATABASE MARKET SNAPSHOT, BY DEPLOYMENT MODE
  • FIGURE 9: GRAPH DATABASE MARKET SNAPSHOT, BY ORGANIZATION SIZE
  • FIGURE 10: GRAPH DATABASE MARKET SNAPSHOT, BY APPLICATION
  • FIGURE 11: GROWING DEMAND FOR SYSTEMS THAT CAN PROCESS LOW-LATENCY QUERIES TO DRIVE THE OVERALL GROWTH OF THE GRAPH DATABASE MARKET DURING THE FORECAST PERIOD
  • FIGURE 12: SUPPLY CHAIN MANAGEMENT APPLICATION TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 13: GRAPH DATABASE MARKET SNAPSHOT, BY INDUSTRY VERTICAL
  • FIGURE 14: GRAPH DATABASE MARKET SNAPSHOT, BY REGION
  • FIGURE 15: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: GRAPH DATABASE MARKET
  • FIGURE 16: PROPERTY GRAPH SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
  • FIGURE 17: SERVICES SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
  • FIGURE 18: MANAGED SERVICES SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
  • FIGURE 19: SUPPORT AND MAINTENANCE SERVICES SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 20: SUPPLY CHAIN MANAGEMENT SEGMENT TO WITNESS THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 21: CLOUD SEGMENT TO WITNESS A HIGHER CAGR DURING THE FORECAST PERIOD
  • FIGURE 22: SMALL AND MEDIUM-SIZED ENTERPRISES SEGMENT TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
  • FIGURE 23: HEALTHCARE AND LIFE SCIENCES INDUSTRY VERTICAL TO WITNESS THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 24: NORTH AMERICA TO ACCOUNT FOR THE LARGEST MARKET SIZE DURING THE FORECAST PERIOD
  • FIGURE 25: QATAR TO ACCOUNT FOR THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 26: ASIA PACIFIC TO ACCOUNT FOR THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 27: NORTH AMERICA: MARKET SNAPSHOT
  • FIGURE 28: APAC TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 29: SUPPLY CHAIN MANAGEMENT SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD IN EUROPE
  • FIGURE 30: ASIA PACIFIC: MARKET SNAPSHOT
  • FIGURE 31: SUPPLY CHAIN MANAGEMENT SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD IN ASIA PACIFIC
  • FIGURE 32: SUPPLY CHAIN MANAGEMENT SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD IN THE MIDDLE EAST AND AFRICA
  • FIGURE 33: SUPPLY CHAIN MANAGEMENT SEGMENT TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD IN LATIN AMERICA
  • FIGURE 34: GRAPH DATABASE MARKET (GLOBAL) COMPETITIVE LEADERSHIP MAPPING, 2019
  • FIGURE 35: IBM: COMPANY SNAPSHOT
  • FIGURE 36: IBM: SWOT ANALYSIS
  • FIGURE 37: ORACLE: COMPANY SNAPSHOT
  • FIGURE 38: ORACLE: SWOT ANALYSIS:
  • FIGURE 39: MICROSOFT: COMPANY SNAPSHOT
  • FIGURE 40: MICROSOFT: SWOT ANALYSIS
  • FIGURE 41: AWS: COMPANY SNAPSHOT
  • FIGURE 42: AWS: SWOT ANALYSIS
  • FIGURE 43: NEO4J: SWOT ANALYSIS
  • FIGURE 44: ORIENTDB: SWOT ANALYSIS
  • FIGURE 45: TERADATA: COMPANY SNAPSHOT
  • FIGURE 46: CRAY: COMPANY SNAPSHOT
目次
Product Code: TC 6341

The global graph database market size to grow at a CAGR of 22.2% during the forecast period

MarketsandMarkets forecasts the global graph database market size to grow from USD 1.0 billion in 2019 to USD 2.9 billion by 2024, at a Compound Annual Growth Rate (CAGR) of 22.2% during 2019-2024. The major growth factors of the graph database market include excellent real-time big data mining with visualizations of results, growing demand for systems' capability of processing low latency queries, and the adoption of Artificial Intelligence (AI)-based graph database tools and services.

Services segment to grow at a higher CAGR during the forecast period

The graph database market database market by component has been segmented into tools and services. Professional and managed services enable organizations to maintain healthy consumer relationships. Additionally, these services assist enterprises to maximize their resource usage, effectively executing the activities enhancing business operations. The need for services, such as support and maintenance, would grow, as the adoption of graph database tools increases.

Banking, Financial Services and Insurance industry vertical expected to hold the largest market size throughout the forecast period

Graph database has a wide variety of applications in the Banking, Financial Services and Insurance (BFSI) industry vertical, such as fraud detection, cash flow analysis, and transaction analysis. Banks and other financial institutions are prone to frauds, such as fraudsters demanding loans, credit cards, and unsecured bank credits with no intention of paying them back. In such cases, graph database tools and services help the bank detect and reduce the occurrence of such frauds. Moreover, with the increasing number of financial industry regulatory requirements, such as PCI DSS and SOX, organizations require advanced security technologies to meet these regulations. The best way to reduce the operational complexities and enhance the business growth of an organization is to upgrade its systems and technology architecture.

North America to hold the largest market size during the forecast period

North America is expected to account for the largest market size, owing to the early adoption of graph database tools as well as prominent initiatives taken by industry players in the form of partnerships with different technology players to offer rapid analytics and data processing solutions. The major presence of graph database vendors as well as the widespread awareness about these solutions would continue to help the region sustain its largest market sizeduring the forecast period.

In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the graph database market.

  • By Company: Tier I: 15%, Tier II: 25%, and Tier III: 60%
  • By Designation: C-Level Executives: 25%, Director-Level: 45%, and Others: 30%
  • By Region: North America: 40%, Europe: 20%, APAC: 30%, RoW: 10%

The report includes the study of the key players offering graph database tools and services. It profiles major vendors in the global graph database market. The major vendors include IBM (US), Microsoft (US), Oracle (US), AWS (US), Neo4j (US), OrientDB (UK), TIBCO (US), Franz (US), OpenLink Software (US), MarkLogic (US), TigerGraph (US), DataStax (US), Ontotext (Bulgaria), Stardog (US), Cray (US), ArangoDB (US), Bitnine (US), Objectivity (US), Memgraph (UK), Cambridge Semantics (US), Fluree (US), and Blazegraph (US). It also includes an in-depth competitive analysis of the key players in the graph database market, along with their company profiles, business overviews, product offerings, recent developments, and market strategies.

Research coverage

The report segments the global graph database market by component (tools and services), application, type, deployment mode, organization size, industry vertical, and region. The graph database market by industry vertical is divided into BFSI, retail, and eCommerce, telecom and Information Technology (IT), healthcare and life sciences, government and public sector, manufacturing, energy and utilities, others ( media and entertainment, education and research, travel and hospitality, and real estate) categories. The component segment comprises solution and services. The services segment is divided into managed services and professional services (support and maintenance services, consulting services, and deployment and integration services). The graph database market by deployment mode is segmented into cloud and on-premises. On the basis of organization size, the graph database market is divided into large enterprises and Small and Medium-sized Enterprises (SMEs). The graph database market by application is segmented into customer analytics, risk and compliance management, recommendation engines, fraud detection, supply chain management and others (operation management and asset management). The report also covers the graph database market with respect to 5 major regions, namely, North America, Europe, Asia Pacific (APAC), Latin America, and the Middle East and Africa (MEA).

The report would help the market leaders and new entrants in the global Graph Database market in the following ways:

1. The report segments the market into various subsegments; hence, it covers the market comprehensively. It provides the closest approximations of the revenue numbers for the overall market and its subsegments. The market numbers are further split across industry verticals and regions.

2. It helps in understanding the overall growth of the market. It also provides information about key market drivers, restraints, challenges, and opportunities.

3. It helps stakeholders in understanding their competitors better and gaining more insights to strengthen their position in the market. The study also presents the positioning of the key players based on their product offerings and business strategies.

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 OBJECTIVES OF THE STUDY
  • 1.2 MARKET DEFINITION
  • 1.3 MARKET SCOPE
    • 1.3.1 MARKET SEGMENTATION
  • 1.4 YEARS CONSIDERED FOR THE STUDY
  • 1.5 CURRENCY CONSIDERED
  • 1.6 STAKEHOLDERS

2 RESEARCH METHODOLOGY

  • 2.1 RESEARCH DATA
    • 2.1.1 SECONDARY DATA
    • 2.1.2 PRIMARY DATA
      • 2.1.2.1 Breakup of primary profiles
      • 2.1.2.2 Key industry insights
  • 2.2 MARKET BREAKUP AND DATA TRIANGULATION
  • 2.3 MARKET SIZE ESTIMATION
    • 2.3.1 TOP-DOWN APPROACH
    • 2.3.2 BOTTOM-UP APPROACH
  • 2.4 MARKET FORECAST
  • 2.5 COMPETITIVE LEADERSHIP MAPPING RESEARCH METHODOLOGY
    • 2.5.1 VENDOR INCLUSION CRITERIA
  • 2.6 ASSUMPTIONS FOR THE STUDY
  • 2.7 LIMITATIONS OF THE STUDY

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

  • 4.1 ATTRACTIVE MARKET OPPORTUNITIES IN THE GRAPH DATABASE MARKET
  • 4.2 GRAPH DATABASE MARKET: TOP 3 APPLICATIONS

5 MARKET OVERVIEW AND INDUSTRY TRENDS

  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    • 5.2.1 DRIVERS
      • 5.2.1.1 Excellent real-time big data mining with visualization of results to drive the market
      • 5.2.1.2 Growing demand for systems that can process low-latency queries
      • 5.2.1.3 Adoption of AI-based graph database tools and services to drive the market
    • 5.2.2 RESTRAINTS
      • 5.2.2.1 Lack of standardization and programming ease
    • 5.2.3 OPPORTUNITIES
      • 5.2.3.1 Need to identify complex patterns at maximum scale gaining traction
      • 5.2.3.2 Rapid use of virtualization for big data analytics
    • 5.2.4 CHALLENGES
      • 5.2.4.1 Lack of technical expertise
  • 5.3 INDUSTRY TRENDS
    • 5.3.1 USE CASES
    • 5.3.2 USE CASE: SCENARIO 1
    • 5.3.3 USE CASE: SCENARIO 2
    • 5.3.4 USE CASE: SCENARIO 3
    • 5.3.5 USE CASE: SCENARIO 4
    • 5.3.6 USE CASE: SCENARIO 5
  • 5.4 REGULATORY IMPLICATIONS
    • 5.4.1 GENERAL DATA PROTECTION REGULATION
    • 5.4.2 HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT OF 1996
    • 5.4.3 BASEL COMMITTEE ON BANKING SUPERVISION 239 COMPLIANCE
    • 5.4.4 SARBANES-OXLEY ACT OF 2002

6 GRAPH DATABASE MARKET, BY TYPE

  • 6.1 INTRODUCTION
  • 6.2 RESOURCE DESCRIPTION FRAMEWORK
    • 6.2.1 DEMAND FOR INTELLIGENT DATA MANAGEMENT SOLUTIONS TO DRIVE THE GROWTH OF RDF IN THE MARKET
  • 6.3 PROPERTY GRAPH
    • 6.3.1 INCREASING DEMAND TO FIND RELATIONSHIPS AMONG NUMEROUS ENTITIES TO BOOST THE PROPERTY GRAPH SEGMENT GROWTH

7 GRAPH DATABASE MARKET, BY COMPONENT

  • 7.1 INTRODUCTION
  • 7.2 TOOLS
    • 7.2.1 DEMAND TO HARNESS PRECISE AND IN-DEPTH DATA CONNECTIONS TO DRIVE THE ADOPTION OF GRAPH DATABASE TOOLS
  • 7.3 SERVICES
    • 7.3.1 MANAGED SERVICES
      • 7.3.1.1 Increasing need for monitoring and maintaining tool operations and reducing overhead costs to drive the growth of managed services in the market
    • 7.3.2 PROFESSIONAL SERVICES
      • 7.3.2.1 Consulting services
        • 7.3.2.1.1 Technicalities involved in implementing graph database tools and services to boost the growth of consulting services
      • 7.3.2.2 Deployment and integration services
        • 7.3.2.2.1 Growing need to overcome system-related issues effectively to drive deployment and integration services
      • 7.3.2.3 Support and maintenance services
        • 7.3.2.3.1 Growing deployment of graph database software to drive the demand for support and maintenance services

8 GRAPH DATABASE MARKET, BY APPLICATION

  • 8.1 INTRODUCTION
  • 8.2 CUSTOMER ANALYTICS
    • 8.2.1 GROWING DEMAND TO UNDERSTAND CUSTOMER BUYING BEHAVIOR FOR KEY BUSINESS DECISIONS TO DRIVE THE GRAPH DATABASE MARKET
  • 8.3 RISK AND COMPLIANCE MANAGEMENT
    • 8.3.1 DEMAND TO SECURE CUSTOMERS' DATA AND MEET STRINGENT REGULATORY COMPLIANCE TO PAVE THE WAY FOR THE ADOPTION OF GRAPH DATABASE
  • 8.4 RECOMMENDATION ENGINES
    • 8.4.1 INCREASING NEED TO PROVIDE EFFICIENT, ACCURATE, AND PERSONALIZED SERVICES TO RETAIN THE CUSTOMERS AND ENHANCE THEIR SHOPPING EXPERIENCE
  • 8.5 FRAUD DETECTION
    • 8.5.1 GROWING FOCUS ON MITIGATING RISKS AND REDUCING LOSS TO DRIVE THE ADOPTION OF GRAPH DATABASE TOOLS AND SERVICES
  • 8.6 SUPPLY CHAIN MANAGEMENT
    • 8.6.1 DEMAND TO TRACK INVENTORY LEVELS AND SHIPMENTS TO FUEL THE GROWTH OF GRAPH DATABASE TOOLS AND SERVICES IN SUPPLY CHAIN MANAGEMENT
  • 8.7 OTHERS

9 GRAPH DATABASE MARKET, BY DEPLOYMENT MODE

  • 9.1 INTRODUCTION
  • 9.2 CLOUD
    • 9.2.1 COST-EFFECTIVENESS AND SCALABILITY OF CLOUD DEPLOYMENT TO BOOST ITS GROWTH
  • 9.3 ON-PREMISES
    • 9.3.1 DATA-SENSITIVE ORGANIZATIONS PREFERRING THE ON-PREMISES DEPLOYMENT MODE FOR GRAPH DATABASE TOOLS

10 GRAPH DATABASE MARKET, BY ORGANIZATION SIZE

  • 10.1 INTRODUCTION
  • 10.2 SMALL AND MEDIUM-SIZED ENTERPRISES
    • 10.2.1 AVAILABILITY OF VIABLE CLOUD-BASED, COST-EFFECTIVE SOLUTIONS TO DRIVE THE ADOPTION OF GRAPH DATABASE IN SMALL AND MEDIUM-SIZED ENTERPRISES
  • 10.3 LARGE ENTERPRISES
    • 10.3.1 GROWING DEMAND TO ANALYZE VOLUMINOUS BUSINESS DATA TO DRIVE THE ADOPTION OF GRAPH DATABASE IN LARGE ENTERPRISES

11 GRAPH DATABASE MARKET, BY INDUSTRY VERTICAL

  • 11.1 INTRODUCTION
  • 11.2 BANKING, FINANCIAL SERVICES, AND INSURANCE
    • 11.2.1 GROWING FOCUS ON FINANCIAL STANDARDS AND COMPLIANCE WITH REGULATIONS TO DRIVE THE GRAPH DATABASE MARKET IN THE BFSI INDUSTRY VERTICAL
  • 11.3 TELECOM AND IT
    • 11.3.1 INCREASING DEMAND TO PROVIDE IMPROVED SERVICES FOR A GROWING CUSTOMER BASE TO BOOST THE ADOPTION OF THE GRAPH DATABASE MARKET IN THE TELECOM AND IT INDUSTRY VERTICAL
  • 11.4 RETAIL AND ECOMMERCE
    • 11.4.1 GROWING DEMAND TO IDENTIFY CUSTOMER BEHAVIOR IN REAL TIME TO FUEL THE GROWTH OF THE GRAPH DATABASE MARKET IN THE RETAIL AND ECOMMERCE INDUSTRY VERTICAL
  • 11.5 HEALTHCARE AND LIFE SCIENCES
    • 11.5.1 GROWING DEMAND TO ACHIEVE BETTER PATIENT EXPERIENCE AND PERSONALIZED TREATMENT IN REAL TIME TO FUEL THE GROWTH OF THE GRAPH DATABASE MARKET IN THE HEALTHCARE AND LIFE SCIENCES INDUSTRY VERTICAL
  • 11.6 MANUFACTURING
    • 11.6.1 GROWING NEED TO EXTEND THE LIFESPAN OF FACTORY EQUIPMENT AND REDUCE THE RISK OF PRODUCTION DELAYS TO FUEL THE GROWTH OF THE GRAPH DATABASE APPLICATION IN THE MANUFACTURING INDUSTRY VERTICAL
  • 11.7 GOVERNMENT AND PUBLIC SECTOR
    • 11.7.1 GROWING DEMAND FOR ENHANCED DATA SECURITY AND ADVANCED INTELLIGENCE TO DRIVE THE GRAPH DATABASE MARKET IN GOVERNMENT AND PUBLIC SECTOR
  • 11.8 TRANSPORTATION AND LOGISTICS
    • 11.8.1 INCREASING NEED TO GAIN COMPLETE AND REAL-TIME VISIBILITY INTO OPERATIONS TO MINIMIZE RISKS DRIVING THE GRAPH DATABASE MARKET IN THE TRANSPORTATION AND LOGISTICS INDUSTRY VERTICAL
  • 11.9 OTHERS

12 GRAPH DATABASE MARKET, BY REGION

  • 12.1 INTRODUCTION
  • 12.2 NORTH AMERICA
    • 12.2.1 UNITED STATES
      • 12.2.1.1 Government's focus on innovation and research to fuel the adoption of graph database software in the US
    • 12.2.2 CANADA
      • 12.2.2.1 Increase in investments and research activities to drive graph database software and services adoption in Canada
  • 12.3 EUROPE
    • 12.3.1 UNITED KINGDOM
      • 12.3.1.1 Government focus on innovation and research to fuel the adoption of graph database software in the UK
    • 12.3.2 GERMANY
      • 12.3.2.1 Growing investments by tech-giants to provide opportunities for the development of graph database software
    • 12.3.3 FRANCE
      • 12.3.3.1 Focus on R&D and heavy inflow of capital from global players and investors to drive the graph database market growth in France
    • 12.3.4 REST OF EUROPE
  • 12.4 ASIA PACIFIC
    • 12.4.1 CHINA
      • 12.4.1.1 Increasing focus on integrating AI and deep learning technologies to drive the adoption of graph database software in China
    • 12.4.2 JAPAN
      • 12.4.2.1 Existing market and already adopted technology to boost the graph database market in Japan
    • 12.4.3 AUSTRALIA AND NEW ZEALAND
      • 12.4.3.1 Growth in infrastructure developments and adoption of connected devices to act as a driving factor for the graph database market in ANZ
    • 12.4.4 REST OF APAC
  • 12.5 MIDDLE EAST AND AFRICA
    • 12.5.1 UNITED ARAB EMIRATES
      • 12.5.1.1 Advanced analytics, coupled with AI adoption, to drive the graph database market in the UAE
    • 12.5.2 QATAR
      • 12.5.2.1 Increasing R&D to instigate the need for graph database technology in Qatar
    • 12.5.3 KINGDOM OF SAUDI ARABIA
      • 12.5.3.1 Government initiatives and investments to drive the adoption of the graph database market in KSA
    • 12.5.4 SOUTH AFRICA
      • 12.5.4.1 Transformation in the overall infrastructure industry to boost the adoption of graph database tools in South Africa
    • 12.5.5 REST OF MIDDLE EAST AND AFRICA
  • 12.6 LATIN AMERICA
    • 12.6.1 BRAZIL
      • 12.6.1.1 Investments by multinational companies to drive the market growth in Brazil
    • 12.6.2 MEXICO
      • 12.6.2.1 Government initiatives and increasing demand for graph database software and services to trigger the market growth in Mexico
    • 12.6.3 REST OF LATIN AMERICA

13 COMPETITIVE LANDSCAPE

  • 13.1 COMPETITIVE LEADERSHIP MAPPING
    • 13.1.1 VISIONARY LEADERS
    • 13.1.2 INNOVATORS
    • 13.1.3 DYNAMIC DIFFERENTIATORS
    • 13.1.4 EMERGING COMPANIES
  • 13.2 STRENGTH OF PRODUCT PORTFOLIO
  • 13.3 BUSINESS STRATEGY EXCELLENCE

14 COMPANY PROFILES

  • 14.1 IBM

(Business Overview, Solutions, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*

  • 14.2 ORACLE
  • 14.3 MICROSOFT
  • 14.4 AWS
  • 14.5 NEO4J
  • 14.6 ORIENTDB
  • 14.7 TIBCO
  • 14.8 TERADATA
  • 14.9 FRANZ
  • 14.10 OPENLINK SOFTWARE
  • 14.11 MARKLOGIC
  • 14.12 TIGERGRAPH
  • 14.13 CRAY
  • 14.14 DATASTAX
  • 14.15 ONTOTEXT
  • 14.16 STARDOG
  • 14.17 ARANGODB
  • 14.18 BITNINE
  • 14.19 OBJECTIVITY
  • 14.20 CAMBRIDGE SEMANTICS
  • 14.21 FLUREE
  • 14.22 BLAZEGRAPH
  • 14.23 MEMGRAPH

Details on Business Overview, Solutions, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View might not be captured in case of unlisted companies.

15 APPENDIX

  • 15.1 DISCUSSION GUIDE
  • 15.2 KNOWLEDGE STORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 15.3 AVAILABLE CUSTOMIZATIONS
  • 15.4 RELATED REPORTS
  • 15.1 AUTHOR DETAILS
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