The Asia Pacific Graph Technology Market would witness market growth of 22.9% CAGR during the forecast period (2023-2030).
Graph technology has also found its place in academic and research domains. Researchers in biology, computer science, and social sciences employ graph databases to analyze complex relationships and extract meaningful insights from extensive datasets. Graph technology facilitates breakthroughs in various research disciplines, from exploring protein-protein interactions to studying social network dynamics.
Moreover, graph technology applications are as diverse as the industries that employ them. At the core of its utility is the ability to harness and make sense of interconnected data, enabling organizations to derive valuable insights, enhance decision-making, and improve operations. Graph databases excel at analyzing networks and relationships within data. In social networks, they help uncover influencers, detect communities, and predict user behavior. In supply chain management, they optimize the flow of goods by modeling the network of suppliers, manufacturers, and distributors.
As per the data provided by the India Brand Equity Foundation (IBEF), India’s IT and business services sector is expected to achieve a value of US$ 19.93 billion by 2025. IT expenditure in India is projected to rise to $110.3 billion in 2023, up from an estimated $81.89 billion in 2021. Likewise, in accordance with data provided by the IBEF in May 2023, India is the world’s second-largest telecommunications industry. The subscriber base, wireless subscriptions, and wired broadband subscriptions have grown consistently. Tele-density stood at 84.51%, as of March 2023, and total broadband subscriptions grew to 846.57 million until March 2023. Therefore, the rise in the IT and telecom sector in the Asia Pacific countries will help in the expansion of the market in the region.
The China market dominated the Asia Pacific Graph Technology Market by Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $1,195.8 million by 2030. The Japan market is registering a CAGR of 22.1% during (2023 - 2030). Additionally, The India market would showcase a CAGR of 23.6% during (2023 - 2030).
Based on Component, the market is segmented into Software and Services. Based on Database Type, the market is segmented into Relational (SQL) and Non-relational (No SQL). Based on Deployment, the market is segmented into On-premise and Cloud. Based on Graph Type, the market is segmented into Property Graph, Resource Description Framework (RDF) and Hypergraph. Based on Analysis Model, the market is segmented into Path Analysis, Connectivity Analysis, and Community & Centrality Analysis. Based on Industry, the market is segmented into IT & Telecom, Supply Chain & Logistics, Retail & E-commerce, BFSI, Healthcare & Life Science, Government & Public Sector, and Others. Based on Application, the market is segmented into Data Management & Analysis, Fraud Detection, Customer Analysis, Compliance & Risk, Identity & Access Management, and Others. Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Oracle Corporation, IBM Corporation, Neo4j, Inc., Stardog Union, Amazon Web Services, Inc. (Amazon.com, Inc.), Microsoft Corporation, ArangoDB Inc., TigerGraph, Inc., Progress Software Corporation and DataStax, Inc.
Scope of the Study
Market Segments covered in the Report:
By Component

  • Software
  • Services


By Database Type

  • Relational (SQL)
  • Non-relational (No SQL)


By Deployment

  • On-premise
  • Cloud


By Graph Type

  • Property Graph
  • Resource Description Framework (RDF)
  • Hypergraph


By Analysis Model

  • Path Analysis
  • Connectivity Analysis
  • Community & Centrality Analysis


By Industry

  • IT & Telecom
  • Supply Chain & Logistics
  • Retail & E-commerce
  • BFSI
  • Healthcare & Life Science
  • Government & Public Sector
  • Others


By Application

  • Data Management & Analysis
  • Fraud Detection
  • Customer Analysis
  • Compliance & Risk
  • Identity & Access Management
  • Others


By Country

  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific


Companies Profiled

  • Oracle Corporation
  • IBM Corporation
  • Neo4j, Inc.
  • Stardog Union
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • Microsoft Corporation
  • ArangoDB Inc.
  • TigerGraph, Inc.
  • Progress Software Corporation
  • DataStax, Inc.


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