글로벌 그래프 데이터베이스 시장 – 2030년까지의 산업 동향 및 예측

그래프 데이터베이스 시장 분석 및 규모

그래프 데이터베이스 도구의 조기 채택과 많은 기술 회사와의 산업 제휴가 증가하여 데이터 처리 및 빠른 분석 솔루션을 제공합니다. 기술 발전의 초기 단계는 핀테크 솔루션을 확립하고 정보 기술의 향상은 모두 이 시장의 성장에 크게 기여하고 있습니다. 또한 사물 인터넷(IoT) 및 인공 지능 (AI) 장치의 도입으로 인해 시장 성장을 지원할 것으로 예측됩니다. 그 결과, 향후 몇 년 동안 머신 러닝(ML)과 같은 최첨단 기술에 대한 투자가 증가함에 따라 차트 데이터베이스 솔루션에 대한 수요가 상당히 증가할 것으로 예상됩니다.

Data Bridge Market Research는 그래프 데이터베이스 시장이 2030년까지 73억 8,479만 달러에 도달할 것으로 예상하고, 2022년에는 19억 3,820만 달러에 도달할 것으로 분석했으며, 예측 기간 동안 CAGR은 18.20%입니다. Data Bridge Market Research 팀이 큐레이팅한 시장 보고서에는 시장 가치, 성장률, 시장 세그먼트, 지리적 범위, 시장 참여자, 시장 시나리오와 같은 시장 통찰력 외에도 심층적인 전문가 분석, 수입/수출 분석, 가격 분석, 생산 소비 분석, 페슬 분석이 포함되어 있습니다.

그래프 데이터베이스 시장 범위 및 세분화

시장 정의

그래프 데이터베이스는 노드, 에지 및 속성을 사용하여 데이터를 저장하고 표현하는 의미적 쿼리에 그래프 구조를 사용하는 데이터베이스 유형을 말합니다. 각 에지는 연결 또는 관계를 나타내고 각 노드는 두 노드 사이의 엔티티를 나타냅니다. 그래프 데이터베이스는 관계형 온라인 트랜잭션 처리(OLTP) 데이터베이스를 변환하는 기술입니다.

그래프 데이터베이스 시장

운전자

• 저지연 쿼리를 처리할 수 있는 솔루션에 대한 수요 증가

그래프 데이터베이스 도구와 서비스는 전 세계적으로 광범위하게 사용되고 있으며, 수많은 레거시 데이터베이스 공급업체가 그래프 데이터베이스 스키마를 주요 관계형 데이터베이스 인프라에 동화시키려고 노력하고 있습니다. 반면, 이론적으로는 이 전략이 비용을 절감하는 것처럼 보일 수 있지만 실제로는 데이터베이스 옆에서 실행되는 쿼리의 성능을 저하시키고 느리게 할 수 있습니다. 그래프 데이터베이스는 디지털 비즈니스 활동 측면에서 기존의 오프라인 거래를 디지털 비즈니스 강국으로 바꾸고 있습니다. 따라서 저지연 쿼리를 처리할 수 있는 솔루션에 대한 수요가 증가하면서 시장 성장률이 촉진될 것으로 예상됩니다.

• 그래프 데이터베이스 기술 사용 증가

제조업체는 그래프 데이터베이스 기술을 광범위하게 사용하는데, 특히 비즈니스 데이터 관리를 위해 다양한 산업과 부문에 응용됩니다. 그래프 데이터베이스 기술은 복잡하고 방대한 데이터를 평가하는 동안 발생하는 문제를 해결하는 데 있어 다른 데이터베이스 시스템에 비해 수많은 장점이 있습니다. 이러한 시스템은 자연스럽게 발생하는 방대한 데이터나 정보 세트를 관리하고 확장할 수 있는 용량을 갖추고 있습니다.

기회

• 저지연 쿼리 처리 솔루션에 대한 수요 증가

Businesses encounter problems when storing massive volumes of connected data in a database which is not suitable for any precise purpose. Now businesses deploy a real-time recommendation system that can handle low-latency queries rather than cumbersome batch process on top of a common relational database. It considerably outperforms conventional relational databases by enabling users to specially query prior purchases made by customers during an online visit to match session and historical data. There is less latency by using a graph database. Moreover, millions of connected records can be browsed with a reliable response time irrespective of database size meanwhile the links and nodes "point" to one another. To attain low latency, queries are divided into sub-queries that run instantaneously. Thus, growing demand for low-latency query processing solutions will create immense opportunities for market growth.

Restraints

• Complex programming and standardization

While graph databases are technically NoSQL databases that must run on a single server in practice because these databases cannot be distributed in a low-cost cluster. This is what causes a network's performance to rapidly decline. Another major disadvantage is that the developers must write their inquiries in Java as there is no SQL to save data from graph databases, which necessitates hiring expensive programmers. All these are some of the major factors restraining the market's growth.

This graph database market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the graph database market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.

Covid-19 Impact Analysis on Global Graph Database Market

The outbreak of COVID–19 pandemic has transformed the dynamics of business operations globally and had a significantly negative influence on businesses owing to lockdowns imposed by governments to control the spread of coronavirus. However, the outbreak of COVID–19 provided numerous opportunities for companies to expand and digitalize operations across borders because implementation and adoption of technologies such as predictive analysis, Internet of Things (IoT), big data, Artificial Intelligence (AI), and blockchain technology augmented during the initial lockdowns. However, with the introduction of vaccinations, companies operating in such industries are anticipated to attract considerable investments because graph database solutions have gained more popularity across numerous business operations over the forecast period.

Recent Development

• In 2021, Neo4j launched its new graph database, version 4.3 with incremental upgrades that highlight prior discoveries. As a result of enhanced relationship property indexes and smart IO scheduling, the most current version comprises relationship chain locking for faster write graph data science, transaction speed, and parallelized backup.
• In 2021, DataStax, Inc. announced the acquisition of Kafkaesque Technologies Inc., a cloud messaging service completely driven and managed by Apache Pulsar, to speed the delivery of open-source, cloud-native and scale-out streaming of business events for advanced data applications. This acquisition allows companies to provide modern data applications with unlimited scaling, cloud hosting and rapid development speed.

Global Graph Database Market Scope

The graph database market is segmented on the basis of type, application, database, deployment model, analysis type, size, component and end user. The growth amongst these segments will help you analyze meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.

Type

• Resource Description Framework (RDF)
• Labeled Property Graph (LPG)

 Application

• Fraud Detection
• Prevention
• Recommendation Engine
• Database (Relational (SQL)
• Non-relational (NoSQL)

Deployment Model

• On-premise
• Cloud

Analysis Type

• Path Analysis
• Connectivity Analysis
• Community Analysis and Centrality Analysis

Size

• Large Enterprises
• Small and Medium Enterprises

Component

• Software
• Services
• Professional Services
• Managed Services

 End User

• Banking, Financial Services and Insurance
• Telecom and IT
• Healthcare and Lifesciences
• Transportation and Logistics
• Retail and Ecommerce
• Energy and Utilities
• Government and Public
• Manufacturing
• Others

Graph Database Market Regional Analysis/Insights

The graph database market is analyzed and market size insights and trends are provided by country, type, application, database, deployment model, analysis type, size, component and end user as referenced above.

The countries covered in the graph database market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, Israel, Egypt, South Africa, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.

North America dominates the graph database market in terms of revenue and market share owing to the presence of well-established fintech solution and early growth of the technology. Furthermore, advancements in information technology will further boost the market growth in this region. 

Asia-Pacific will continue to project the highest compound annual growth rate during the forecast period of 2023-2030 because opportunities for the smaller graph database sellers to launch graph database solutions for many sectors have considerably increased in this region.

The country section of the report also provides individual market impacting factors and changes in market regulation that impact the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of Global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.   

Competitive Landscape and Graph Database Market Share Analysis

The graph database market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, Global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies' focus related to graph database market.

Some of the major players operating in the graph database market are:

• Teradata (U.S.)
• Hewlett Packard Enterprise Development LP (U.S.)
• IBM Corporation (U.S.)
• Microsoft (U.S.)
• Siemens AG (Germany)
• ANSYS, Inc (U.S.)
• SAP SE (Germany)
• Oracle (U.S.)
• Robert Bosch GmbH (Germany)
• Swim.ai, Inc. (U.S.)
• Atos S.E. (France)
• ABB (Switzerland)
• KELLTON TECH (India)
• AVEVA Group plc (U.K.)
• DXC Technology Company (U.S.)
• Altair Engineering, Inc (U.S.)
• Hexaware Technologies Limited (India)
• Tata Consultancy Services Limited (India)
• Infosys Limited (India)
• NTT DATA, Inc. (Japan)
• TIBCO Software Inc. (U.S.)

SKU-50178