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세계의 그래프 데이터베이스 시장 예측(-2023년) : 자원 기술 프레임워크(RDF), 프로퍼티 그래프

Graph Database Market by Type (RDF and Property Graph), Application (Risk Management & Fraud Detection, Customer Analytics, Recommendation Engines), Component (Tools and Services), Deployment Type, Industry Vertical, and Region - Global Forecast to 2023

리서치사 MarketsandMarkets
발행일 2018년 06월 상품 코드 649248
페이지 정보 영문 166 Pages
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세계의 그래프 데이터베이스 시장 예측(-2023년) : 자원 기술 프레임워크(RDF), 프로퍼티 그래프 Graph Database Market by Type (RDF and Property Graph), Application (Risk Management & Fraud Detection, Customer Analytics, Recommendation Engines), Component (Tools and Services), Deployment Type, Industry Vertical, and Region - Global Forecast to 2023
발행일: 2018년 06월 페이지 정보 : 영문 166 Pages

한글목차

세계의 그래프 데이터베이스 시장은 2018년의 8억 2180만 달러에서 2023년까지 24억 910만 달러로 확대될 전망입니다. 시장은 2018-2023년간 CAGR(연평균 성장률)로 24.0%의 성장이 예측됩니다.

세계의 그래프 데이터베이스 시장에 대해 조사분석했으며, 시장 개요, 산업 동향, 부문별 시장 분석, 경쟁 구도, 주요 기업 등에 관한 정보를 정리하여 전해드립니다.

제1장 서론

제2장 조사 방법

제3장 개요

제4장 프리미엄 인사이트

  • 그래프 데이터베이스의 매력적인 기회
  • 그래프 데이터베이스 시장 - 시장 점유율 : 지역별
  • 그래프 데이터베이스 시장 : 산업 분야·지역별
  • 투자에 최적인 시장 : 지역별

제5장 시장 개요

  • 서론
  • 시장 역학
    • 촉진요인
    • 억제요인
    • 기회
    • 과제
  • 사용 사례

제6장 세계의 그래프 데이터베이스 시장 : 종류별

  • 서론
  • 자원 기술 프레임워크(RDF)
  • 프로퍼티 그래프

제7장 세계의 그래프 데이터베이스 시장 : 애플리케이션별

  • 서론
  • 고객 애널리틱스
  • 리스크 관리·부정 탐지
  • 추천 엔진
  • 기타

제8장 세계의 그래프 데이터베이스 시장 : 컴포넌트별

  • 서론
  • 서비스

제9장 세계의 그래프 데이터베이스 시장 : 도입 유형별

  • 서론
  • 클라우드
  • 온프레미스

제10장 세계의 그래프 데이터베이스 시장 : 조직 규모별

  • 서론
  • 대기업
  • 중소기업

제11장 세계의 그래프 데이터베이스 시장 : 산업 분야별

  • 서론
  • BFSI
  • 통신·IT
  • 의료·생명과학
  • 운송·물류
  • 소매·ECOMMERCE
  • 에너지·유틸리티
  • 정부·공공
  • 제조
  • 기타

제12장 세계의 그래프 데이터베이스 시장 : 지역별

  • 서론
  • 북미
  • 유럽
  • 아시아태평양
  • 라틴아메리카
  • 중동·아프리카

제13장 경쟁 구도

  • 개요
  • 시장 주요 기업
  • 경쟁 시나리오

제14장 기업 개요

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

제15장 부록

KSA 18.06.14

영문목차

"Increasing need for better response time and accuracy to discover new data correlations is the key growth driver for the graph database market"

The graph database market size is expected to grow from USD 821.8 million in 2018 to USD 2,409.1 million by 2023, at a Compound Annual Growth Rate (CAGR) of 24.0% during the forecast period. Some of the key drivers for the graph database market include enterprises' increasing demand to have better response time and accuracy to discover new data corelations, and the advent of AI-enhanced graph database software and services.

However, lack of technical expertise and high setup costs associated with graph dataabases are restraining the growth of graph database market.

Risk Management and Fraud Detection is estimated to hold the largest market size in 2018 in the graph database market.

Fraud detection applications, through their real-time, near-real-time, and batch analysis of users' activities, assist companies in safeguarding their customers and enterprise information, assets, accounts, and transactions. To address frauds and the related risks, enterprises use Transaction Monitoring Systems (TMS) that are based on relational databases. However, due to TMS' linear and discrete analysis approach, they usually help in spotting trends and incidents post their occurrence on a limited basis. This is where graph database tools and services really add value and enhance the entire risk and fraud management process. Moreover, these tools and services add an additional security layer to its architecture. Graph database tools assist in identifying individual data points and the links between them. Furthermore, these tools enable the rapid extraction of new insights from large and complex databases to help reveal unknown interactions and relationships, quickening the entire process of execution.

Asia Pacific (APAC) is expected to grow at the highest rate during the forecast period in the graph database market by region

APAC is expected to grow at the highest CAGR and estimated to have an immense potential for the growth of the graph database market in the coming years. Many Asian countries, including Singapore and China, are leveraging information-intensive technologies to gain a competitive edge over other players. They are digitizing rapidly and promoting the emerging technologies, such as mobility, IoT, cloud, BI, and analytics. This trend provides significant opportunities to grow for vendors of graph database tools and services in this region. The rapid digitization has resulted in the production of large volumes of unstructured data. The region has shown an unexplored potential for the adoption of data security solutions, which can be attributed to the evolving regulations that are encouraging many multinational operators to enter the graph database market for business expansion.

In the process of determining and verifying the market size for several segments and subsegments gathered through secondary research, extensive primary interviews were conducted with the key people. The break-up of the profile of the primary participants is as follows:

  • By Company: Tier 1 - 15 %, Tier 2 -32%, and Tier 3 -53%
  • By Designation: C level - 38%, Director level - 30%, and Others - 32%
  • By Region: North America - 20%, Europe - 38%, APAC - 32%, and RoW - 10%

The graph database market comprises following major vendors:

  • 1. IBM (US)
  • 2. Microsoft (US)
  • 3. Oracle (US)
  • 4. AWS (US)
  • 5. Neo4j (US)
  • 6. OrientDB (UK)
  • 7. TIBCO Software (US)
  • 8. Franz (US)
  • 9. Teradata Corporation (US)
  • 10. MongoDB (US)
  • 11. OpenLink Software (US)
  • 12. MarkLogic (US)
  • 13. TigerGraph (US)
  • 14. DataStax (US)
  • 15. Ontotext (Bulgaria)
  • 16. Stardog (US)
  • 17. Cray (US)
  • 18. ArangoDB (Germany)
  • 19. Sparcity Technologies (Spain)
  • 20. Memgraph (UK)
  • 21. Bitnine (Korea)
  • 22. Objectivity (US)
  • 23. Cambridge Semantics (US)
  • 24. Fluree (US)
  • 25. Blazegraph (US)

Research Coverage:

The report segments the graph database market by application (customer analytics, risk management and fraud detection, recommendation engines, and others), type (RDF and property graph), components (tools and services), deployment models (on-premises and on-demand), organization sizes (large enterprises and SMEs), verticals (BFSI, telecom and IT, retail and eCommerce, healthcare and life sciences, manufacturing, government and public, transportation and logistics, energy and utilities, and others), and regions (North America, Europe, APAC, MEA, and Latin America).

Reasons to Buy the Report:

  • To get a comprehensive overview of the global graph database market
  • To gain wide-range of information about the top players in this market, their product portfolios, and the key strategies adopted
  • To gain insights into the major countries/regions, in which the market is growing across verticals

TABLE OF CONTENTS

1. INTRODUCTION

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

2. RESEARCH METHODOLOGY

  • 2.1. RESEARCH DATA
    • 2.1.1. SECONDARY DATA
    • 2.1.2. PRIMARY DATA
      • 2.1.2.1. Breakdown of primaries
      • 2.1.2.2. Key industry insights
  • 2.2. MARKET SIZE ESTIMATION
  • 2.3. RESEARCH ASSUMPTIONS
  • 2.4. LIMITATIONS

3. EXECUTIVE SUMMARY

4. PREMIUM INSIGHTS

  • 4.1. ATTRACTIVE OPPORTUNITIES IN THE GRAPH DATABASE MARKET
  • 4.2. GRAPH DATABASE MARKET: MARKET SHARE, BY REGION
  • 4.3. GRAPH DATABASE MARKET, BY INDUSTRY VERTICAL AND REGION
  • 4.4. BEST MARKET TO INVEST IN, BY REGION, 2018

5. MARKET OVERVIEW

  • 5.1. MARKET OVERVIEW
    • 5.1.1. INTRODUCTION
  • 5.2. MARKET DYNAMICS
    • 5.2.1. DRIVERS
      • 5.2.1.1. Increasing need for better response time and accuracy to discover new data correlations
      • 5.2.1.2. Multi-dimensional data management with real-time query support
      • 5.2.1.3. AI-enhanced graph database tools and services
    • 5.2.2. RESTRAINTS
      • 5.2.2.1. Lack of technical expertise
      • 5.2.2.2. High setup costs
    • 5.2.3. OPPORTUNITIES
      • 5.2.3.1. Rapid use of virtualization for big data analytics
    • 5.2.4. CHALLENGES
      • 5.2.4.1. Functionality constraints
      • 5.2.4.2. Data integration impacts on insight timeliness
  • 5.3. GRAPH DATABASE: USE CASES
    • 5.3.1. USE CASE #1: REAL-TIME GRAPH QUERIES IN MEDIA AND ADVERTISING INDUSTRY
    • 5.3.2. USE CASE #2: REVOLUTIONIZING BUSINESS CARDS
    • 5.3.3. USE CASE #3: ALLOWING SCALE KNOWLEDGE-BASED ANALYTICS, CLASSIFICATION, PATTERN RECOGNITION, PREDICTIVE MODELING, AND SIMULATIONS
    • 5.3.4. USE CASE #4: INVESTIGATING THE BIGGEST DATA LEAK IN HISTORY
    • 5.3.5. REGULATIONS
      • 5.3.5.1. General data protection regulation
      • 5.3.5.2. Health insurance portability and accountability act of 1996
      • 5.3.5.3. Basel committee on banking supervision 239 compliance
      • 5.3.5.4. Sarbanes-Oxley act of 2002

6. GRAPH DATABASE MARKET, BY TYPE

  • 6.1. INTRODUCTION
  • 6.2. RESOURCE DESCRIPTION FRAMEWORK
  • 6.3. PROPERTY GRAPH

7. GRAPH DATABASE MARKET, BY APPLICATION

  • 7.1. INTRODUCTION
  • 7.2. CUSTOMER ANALYTICS
  • 7.3. RISK MANAGEMENT AND FRAUD DETECTION
  • 7.4. RECOMMENDATION ENGINES
  • 7.5. OTHERS

8. GRAPH DATABASE MARKET, BY COMPONENT

  • 8.1. INTRODUCTION
  • 8.2. TOOLS
  • 8.3. SERVICES
    • 8.3.1. MANAGED SERVICES
    • 8.3.2. PROFESSIONAL SERVICES
      • 8.3.2.1. Consulting services
      • 8.3.2.2. Support and maintenance services
      • 8.3.2.3. Deployment and integration services

9. GRAPH DATABASE MARKET, BY DEPLOYMENT TYPE

  • 9.1. INTRODUCTION
  • 9.2. CLOUD
  • 9.3. ON-PREMISES

10. GRAPH DATABASE MARKET, BY ORGANIZATION SIZE

  • 10.1. INTRODUCTION
  • 10.2. LARGE ENTERPRISES
  • 10.3. SMALL AND MEDIUM-SIZED ENTERPRISES

11. GRAPH DATABASE MARKET, BY INDUSTRY VERTICAL

  • 11.1. INTRODUCTION
  • 11.2. BANKING, FINANCIAL SERVICES, AND INSURANCE
  • 11.3. TELECOM AND IT
  • 11.4. HEALTHCARE AND LIFESCIENCES
  • 11.5. TRANSPORTATION AND LOGISTICS
  • 11.6. RETAIL AND ECOMMERCE
  • 11.7. ENERGY AND UTILITIES
  • 11.8. GOVERNMENT AND PUBLIC
  • 11.9. MANUFACTURING
  • 11.10. OTHERS

12. GRAPH DATABASE MARKET, BY REGION

  • 12.1. INTRODUCTION
  • 12.2. NORTH AMERICA
    • 12.2.1. NORTH AMERICA BY TYPE
    • 12.2.2. NORTH AMERICA BY APPLICATION
    • 12.2.3. NORTH AMERICA BY COMPONENT
    • 12.2.4. NORTH AMERICA BY SERVICE
    • 12.2.5. NORTH AMERICA BY DEPLOYMENT TYPE
    • 12.2.6. NORTH AMERICA BY ORGANIZATION SIZE
    • 12.2.7. NORTH AMERICA BY INDUSTRY VERTICAL
    • 12.2.8. NORTH AMERICA BY COUNTRY
      • 12.2.8.1. United States
      • 12.2.8.2. Canada
  • 12.3. EUROPE
    • 12.3.1. EUROPE BY TYPE
    • 12.3.2. EUROPE BY APPLICATION
    • 12.3.3. EUROPE BY COMPONENT
    • 12.3.4. EUROPE BY SERVICE
    • 12.3.5. EUROPE BY DEPLOYMENT TYPE
    • 12.3.6. EUROPE BY ORGANIZATION SIZE
    • 12.3.7. EUROPE BY INDUSTRY VERTICAL
    • 12.3.8. EUROPE BY COUNTRY
      • 12.3.8.1. United Kingdom
      • 12.3.8.2. Germany
      • 12.3.8.3. France
      • 12.3.8.4. Rest of Europe
  • 12.4. ASIA PACIFIC
    • 12.4.1. ASIA PACIFIC BY TYPE
    • 12.4.2. ASIA PACIFIC BY APPLICATION
    • 12.4.3. ASIA PACIFIC BY COMPONENT
    • 12.4.4. ASIA PACIFIC BY SERVICE
    • 12.4.5. ASIA PACIFIC BY DEPLOYMENT TYPE
    • 12.4.6. ASIA PACIFIC BY ORGANIZATION SIZE
    • 12.4.7. ASIA PACIFIC BY INDUSTRY VERTICAL
    • 12.4.8. ASIA PACIFIC BY COUNTRY
      • 12.4.8.1. China
      • 12.4.8.2. Japan
      • 12.4.8.3. Australia and New Zealand
      • 12.4.8.4. Rest of Asia Pacific
  • 12.5. LATIN AMERICA
    • 12.5.1. LATIN AMERICA BY TYPE
    • 12.5.2. LATIN AMERICA BY APPLICATION
    • 12.5.3. LATIN AMERICA BY COMPONENT
    • 12.5.4. LATIN AMERICA BY SERVICE
    • 12.5.5. LATIN AMERICA BY DEPLOYMENT TYPE
    • 12.5.6. LATIN AMERICA BY ORGANIZATION SIZE
    • 12.5.7. LATIN AMERICA BY INDUSTRY VERTICAL
    • 12.5.8. LATIN AMERICA BY COUNTRY
      • 12.5.8.1. Mexico
      • 12.5.8.2. Brazil
      • 12.5.8.3. Rest of Latin America
  • 12.6. MIDDLE EAST AND AFRICA
    • 12.6.1. MIDDLE EAST AND AFRICA BY TYPE
    • 12.6.2. MIDDLE EAST AND AFRICA BY APPLICATION
    • 12.6.3. MIDDLE EAST AND AFRICA BY COMPONENT
    • 12.6.4. MIDDLE EAST AND AFRICA BY SERVICE
    • 12.6.5. MIDDLE EAST AND AFRICA BY DEPLOYMENT TYPE
    • 12.6.6. MIDDLE EAST AND AFRICA BY ORGANIZATION SIZE
    • 12.6.7. MIDDLE EAST AND AFRICA BY INDUSTRY VERTICAL
    • 12.6.8. MIDDLE EAST AND AFRICA BY COUNTRY
      • 12.6.8.1. United Arab Emirates
      • 12.6.8.2. Kingdom of Saudi Arabia
      • 12.6.8.3. Qatar
      • 12.6.8.4. South Africa
      • 12.6.8.5. Rest of Middle East and Africa

13. COMPETITIVE LANDSCAPE

  • 13.1. OVERVIEW
  • 13.2. KEY PLAYERS IN THE GRAPH DATABASE MARKET
  • 13.3. COMPETITIVE SCENARIO
    • 13.3.1. NEW PRODUCT LAUNCHES AND PRODUCT UPGRADATIONS
    • 13.3.2. PARTNERSHIPS, COLLABORATIONS, AND AGREEMENTS
    • 13.3.3. ACQUISITIONS

14. COMPANY PROFILES (Business overview, Solutions offered, Recent developments, SWOT analysis & MnM View)*

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

*Details on Business overview, Solutions offered, 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. INTRODUCING RT: REAL TIME MARKET INTELLIGENCE
  • 15.4. AVAILABLE CUSTOMIZATIONS
  • 15.5. RELATED REPORTS
  • 15.6. AUTHOR DETAILS

LIST OF TABLES

  • TABLE 1: UNITED STATES DOLLAR EXCHANGE RATE, 2014-2017
  • TABLE 2: GRAPH DATABASE MARKET SIZE AND GROWTH RATE, 2016-2023 (USD MILLION, Y-O-Y %)
  • TABLE 3: GRAPH DATABASE MARKET SIZE, BY TYPE, 2016-2023 (USD MILLION)
  • TABLE 4: RESOURCE DESCRIPTION FRAMEWORK: GRAPH DATABASE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 5: PROPERTY GRAPH: GRAPH DATABASE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 6: GRAPH DATABASE MARKET SIZE, BY APPLICATION, 2016-2023 (USD MILLION)
  • TABLE 7: CUSTOMER ANALYTICS: GRAPH DATABASE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 8: RISK MANAGEMENT AND FRAUD DETECTION: GRAPH DATABASE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 9: RECOMMENDATION ENGINES: GRAPH DATABASE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 10: OTHERS: GRAPH DATABASE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 11: GRAPH DATABASE MARKET SIZE, BY COMPONENT, 2016-2023 (USD MILLION)
  • TABLE 12: TOOLS: GRAPH DATABASE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 13: SERVICES: GRAPH DATABASE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 14: SERVICES: GRAPH DATABASE MARKET SIZE, BY TYPE, 2016-2023 (USD MILLION)
  • TABLE 15: MANAGED SERVICES: GRAPH DATABASE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 16: PROFESSIONAL SERVICES: GRAPH DATABASE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 17: PROFESSIONAL SERVICES: GRAPH DATABASE MARKET SIZE, BY TYPE, 2016-2023 (USD MILLION)
  • TABLE 18: CONSULTING SERVICES MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 19: SUPPORT AND MAINTENANCE SERVICES MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 20: DEPLOYMENT AND INTEGRATION SERVICES MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 21: GRAPH DATABASE MARKET SIZE, BY DEPLOYMENT TYPE, 2016-2023 (USD MILLION)
  • TABLE 22: CLOUD: GRAPH DATABASE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 23: ON-PREMISES: GRAPH DATABASE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 24: GRAPH DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2016-2023 (USD MILLION)
  • TABLE 25: LARGE ENTERPRISES: GRAPH DATABASE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 26: SMALL AND MEDIUM-SIZED ENTERPRISES: GRAPH DATABASE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 27: GRAPH DATABASE MARKET SIZE, BY INDUSTRY VERTICAL, 2016-2023 (USD MILLION)
  • TABLE 28: BANKING, FINANCIAL SERVICES, AND INSURANCE: GRAPH DATABASE MARKET SIZE, BY REGION, 2018-2023 (USD MILLION)
  • TABLE 29: TELECOM AND IT: GRAPH DATABASE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 30: HEALTHCARE AND LIFE SCIENCES: GRAPH DATABASE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 31: TRANSPORTATION AND LOGISTICS: GRAPH DATABASE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 32: RETAIL AND ECOMMERCE: GRAPH DATABASE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 33: ENERGY AND UTILITIES: GRAPH DATABASE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 34: GOVERNMENT AND PUBLIC: GRAPH DATABASE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 35: MANUFACTURING: GRAPH DATABASE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 36: OTHERS: GRAPH DATABASE MARKET SIZE, BY REGION, 2016-2023 (USD MILLION)
  • TABLE 37: NORTH AMERICA: GRAPH DATABASE MARKET SIZE, BY TYPE, 2016-2023 (USD MILLION)
  • TABLE 38: NORTH AMERICA: GRAPH DATABASE MARKET SIZE, BY APPLICATION, 2016-2023 (USD MILLION)
  • TABLE 39: NORTH AMERICA: GRAPH DATABASE MARKET SIZE, BY COMPONENT, 2016-2023 (USD MILLION)
  • TABLE 40: NORTH AMERICA: GRAPH DATABASE MARKET SIZE, BY SERVICE, 2016-2023 (USD MILLION)
  • TABLE 41: NORTH AMERICA: GRAPH DATABASE MARKET SIZE, BY DEPLOYMENT TYPE, 2016-2023 (USD MILLION)
  • TABLE 42: NORTH AMERICA: GRAPH DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2016-2023 (USD MILLION)
  • TABLE 43: NORTH AMERICA: GRAPH DATABASE MARKET SIZE, BY INDUSTRY VERTICAL, 2016-2023 (USD MILLION)
  • TABLE 44: NORTH AMERICA: GRAPH DATABASE MARKET SIZE, BY COUNTRY, 2016-2023 (USD MILLION)
  • TABLE 45: EUROPE: GRAPH DATABASE MARKET SIZE, BY TYPE, 2016-2023 (USD MILLION)
  • TABLE 46: EUROPE: GRAPH DATABASE MARKET SIZE, BY APPLICATION, 2016-2023 (USD MILLION)
  • TABLE 47: EUROPE: GRAPH DATABASE MARKET SIZE, BY COMPONENT, 2016-2023 (USD MILLION)
  • TABLE 48: EUROPE: GRAPH DATABASE MARKET SIZE, BY SERVICE, 2016-2023 (USD MILLION)
  • TABLE 49: EUROPE: GRAPH DATABASE MARKET SIZE, BY DEPLOYMENT TYPE, 2016-2023 (USD MILLION)
  • TABLE 50: EUROPE: GRAPH DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2016-2023 (USD MILLION)
  • TABLE 51: EUROPE: GRAPH DATABASE MARKET SIZE, BY INDUSTRY VERTICAL, 2016-2023 (USD MILLION)
  • TABLE 52: EUROPE: GRAPH DATABASE MARKET SIZE, BY COUNTRY, 2016-2023 (USD MILLION)
  • TABLE 53: ASIA PACIFIC: GRAPH DATABASE MARKET SIZE, BY TYPE, 2016-2023 (USD MILLION)
  • TABLE 54: ASIA PACIFIC: GRAPH DATABASE MARKET SIZE, BY APPLICATION, 2016-2023 (USD MILLION)
  • TABLE 55: ASIA PACIFIC: GRAPH DATABASE MARKET SIZE, BY COMPONENT, 2016-2023 (USD MILLION)
  • TABLE 56: ASIA PACIFIC: GRAPH DATABASE MARKET SIZE, BY SERVICE, 2016-2023 (USD MILLION)
  • TABLE 57: ASIA PACIFIC: GRAPH DATABASE MARKET SIZE, BY DEPLOYMENT TYPE, 2016-2023 (USD MILLION)
  • TABLE 58: ASIA PACIFIC: GRAPH DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2016-2023 (USD MILLION)
  • TABLE 59: ASIA PACIFIC: GRAPH DATABASE MARKET SIZE, BY INDUSTRY VERTICAL, 2016-2023 (USD MILLION)
  • TABLE 60: ASIA PACIFIC: GRAPH DATABASE MARKET SIZE, BY COUNTRY, 2016-2023 (USD MILLION)
  • TABLE 61: LATIN AMERICA: GRAPH DATABASE MARKET SIZE, BY TYPE, 2016-2023 (USD MILLION)
  • TABLE 62: LATIN AMERICA: GRAPH DATABASE MARKET SIZE, BY APPLICATION, 2016-2023 (USD MILLION)
  • TABLE 63: LATIN AMERICA: GRAPH DATABASE MARKET SIZE, BY COMPONENT, 2016-2023 (USD MILLION)
  • TABLE 64: LATIN AMERICA: GRAPH DATABASE MARKET SIZE, BY SERVICE, 2016-2023 (USD MILLION)
  • TABLE 65: LATIN AMERICA: GRAPH DATABASE MARKET SIZE, BY DEPLOYMENT TYPE, 2016-2023 (USD MILLION)
  • TABLE 66: LATIN AMERICA: GRAPH DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2016-2023 (USD MILLION)
  • TABLE 67: LATIN AMERICA: GRAPH DATABASE MARKET SIZE, BY INDUSTRY VERTICAL, 2016-2023 (USD MILLION)
  • TABLE 68: LATIN AMERICA: GRAPH DATABASE MARKET SIZE, BY COUNTRY, 2016-2023 (USD MILLION)
  • TABLE 69: MIDDLE EAST AND AFRICA: GRAPH DATABASE MARKET SIZE, BY TYPE, 2016-2023 (USD MILLION)
  • TABLE 70: MIDDLE EAST AND AFRICA: GRAPH DATABASE MARKET SIZE, BY APPLICATION, 2016-2023 (USD MILLION)
  • TABLE 71: MIDDLE EAST AND AFRICA: GRAPH DATABASE MARKET SIZE, BY COMPONENT, 2016-2023 (USD MILLION)
  • TABLE 72: MIDDLE EAST AND AFRICA: GRAPH DATABASE MARKET SIZE, BY SERVICE, 2016-2023 (USD MILLION)
  • TABLE 73: MIDDLE EAST AND AFRICA: GRAPH DATABASE MARKET SIZE, BY DEPLOYMENT TYPE, 2016-2023 (USD MILLION)
  • TABLE 74: MIDDLE EAST AND AFRICA: GRAPH DATABASE MARKET SIZE, BY ORGANIZATION SIZE, 2016-2023 (USD MILLION)
  • TABLE 75: MIDDLE EAST AND AFRICA: GRAPH DATABASE MARKET SIZE, BY INDUSTRY VERTICAL, 2016-2023 (USD MILLION)
  • TABLE 76: MIDDLE EAST AND AFRICA: GRAPH DATABASE MARKET SIZE, BY COUNTRY, 2016-2023 (USD MILLION)
  • TABLE 77: NEW PRODUCT LAUNCHES AND PRODUCT UPGRADATIONS, 2016-2018
  • TABLE 78: PARTNERSHIPS, COLLABORATIONS, AND AGREEMENTS, 2015-2018
  • TABLE 79: ACQUISITIONS, 2015-2017

LIST OF FIGURES

  • FIGURE 1: GRAPH DATABASE MARKET: MARKET SEGMENTATION
  • FIGURE 2: REGIONAL SCOPE
  • FIGURE 3: GRAPH DATABASE MARKET: RESEARCH DESIGN
  • FIGURE 4: BREAKDOWN OF PRIMARY INTERVIEWS: BY COMPANY, DESIGNATION, AND REGION
  • FIGURE 5: DATA TRIANGULATION
  • FIGURE 6: MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
  • FIGURE 7: MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
  • FIGURE 8: GRAPH DATABASE MARKET: ASSUMPTIONS
  • FIGURE 9: GLOBAL GRAPH DATABASE MARKET IS EXPECTED TO WITNESS SIGNIFICANT GROWTH DURING THE FORECAST PERIOD
  • FIGURE 10: GRAPH DATABASE MARKET SNAPSHOT, BY COMPONENT (2018 VS. 2023)
  • FIGURE 11: GRAPH DATABASE MARKET SNAPSHOT, BY SERVICE (2018 VS. 2023)
  • FIGURE 12: GRAPH DATABASE MARKET SNAPSHOT, BY TYPE (2018 VS. 2023)
  • FIGURE 13: GRAPH DATABASE MARKET SNAPSHOT, BY APPLICATION (2018 VS. 2023)
  • FIGURE 14: GRAPH DATABASE MARKET SNAPSHOT, BY DEPLOYMENT TYPE (2018 VS. 2023)
  • FIGURE 15: GRAPH DATABASE MARKET SNAPSHOT, BY ORGANIZATION SIZE (2018 VS. 2023)
  • FIGURE 16: GRAPH DATABASE MARKET SNAPSHOT, BY INDUSTRY VERTICAL (2018 VS 2023)
  • FIGURE 17: THE INCREASING NEED FOR BETTER RESPONSE TIME AND ACCURACY TO DISCOVER NEW DATA CORRELATIONS IS EXPECTED TO DRIVE THE GROWTH OF THE GRAPH DATABASE MARKET
  • FIGURE 18: NORTH AMERICA IS ESTIMATED TO HAVE THE LARGEST MARKET SHARE IN 2018
  • FIGURE 19: BANKING, FINANCIAL SERVICES, AND INSURANCE INDUSTRY VERTICAL AND NORTH AMERICAN REGION ARE ESTIMATED TO HAVE THE LARGEST MARKET SHARES IN 2017
  • FIGURE 20: BEST MARKET TO INVEST IN, BY REGION, 2018
  • FIGURE 21: GRAPH DATABASE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
  • FIGURE 22: PROPERTY SEGMENT IS EXPECTED TO GROW AT A HIGHER DURING THE FORECAST PERIOD
  • FIGURE 23: RECOMMENDATION ENGINES APPLICATION IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 24: SERVICES SEGMENT IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
  • FIGURE 25: MANAGED SERVICES SEGMENT IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
  • FIGURE 26: SUPPORT AND MAINTENANCE SERVICES SEGMENT IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD
  • FIGURE 27: CLOUD DEPLOYMENT TYPE IS EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
  • FIGURE 28: SMALL AND MEDIUM-SIZED ENTERPRISES ARE EXPECTED TO GROW AT A HIGHER CAGR DURING THE FORECAST PERIOD
  • FIGURE 29: BANKING, FINANCIAL SERVICES, AND INSURANCE INDUSTRY VERTICAL IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 72  
  • FIGURE 30: NORTH AMERICA: MARKET SNAPSHOT
  • FIGURE 31: ASIA PACIFIC: MARKET SNAPSHOT
  • FIGURE 32: KEY DEVELOPMENTS BY THE LEADING PLAYERS IN THE GRAPH DATABASE MARKET, 2017-2018
  • FIGURE 33: IBM: COMPANY SNAPSHOT
  • FIGURE 34: MICROSOFT: COMPANY SNAPSHOT
  • FIGURE 35: ORACLE: COMPANY SNAPSHOT
  • FIGURE 36: AWS: COMPANY SNAPSHOT
  • FIGURE 37: TERADATA CORPORATION: COMPANY SNAPSHOT
  • FIGURE 38: MONGODB: COMPANY SNAPSHOT
  • FIGURE 39: CRAY: COMPANY SNAPSHOT
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