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市場調查報告書

NoSQL的全球市場 - 規模,佔有率,全球趨勢,企業簡介,需求,考察,分析,調查,報告,市場機會,分類,市場預測:2013∼2020年

Global NoSQL Market (Type, Application, Verticals and Geography) Size, Global Trends, Company Profiles, Demand, Insights, Analysis, Research, Report, Opportunities, Segmentation and Forecast, 2013 - 2020

出版商 Allied Market Research 商品編碼 329505
出版日期 內容資訊 英文 100 Pages
商品交期: 最快1-2個工作天內
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NoSQL的全球市場 - 規模,佔有率,全球趨勢,企業簡介,需求,考察,分析,調查,報告,市場機會,分類,市場預測:2013∼2020年 Global NoSQL Market (Type, Application, Verticals and Geography) Size, Global Trends, Company Profiles, Demand, Insights, Analysis, Research, Report, Opportunities, Segmentation and Forecast, 2013 - 2020
出版日期: 2015年04月15日 內容資訊: 英文 100 Pages
簡介

NoSQL(Not Only SQL不只是SQL)是為了大容量非構造化資料的儲存及分析、點閱存取用而開發的資料庫機制。NoSQL是可儲存無法儲存在關聯資料庫的Schemaless資料之機制。使用NoSQL資料庫的優點有擴張性高、設計簡單、可更正確控制及可用性更高等,此外,其可輕鬆管理巨量資料的能力也是引進NoSQL資料庫的重大理由之一。NoSQL優於關聯性資料庫的認知度低是阻礙技術引進的主要要因。此外,支援NoSQL解決方案的設備不足,也限制了企業的引進。但今後數年由於NoSQL的知名度將提升,NoSQL資料庫可大幅擴大特別是SNS或零售、電子交易等商務資料庫,預測未來將急速引進。

本報告提供NoSQL的全球市場概要和趨勢,提供您結構,抑制因素與市場機會分析,到2020年前的定量分析,價值鏈分析等資訊。

第1章 簡介

  • 本報告概要
  • 主要市場分類
  • 主要的優點
  • 調查手法
    • 二次調查
    • 一次調查
    • 分析工具和模式

第2章 摘要整理

  • CXO的見解
  • 今後的市場:到2025年前的期待
    • 基本方案
    • 樂觀的方案
    • 危機的方案

第3章 市場概要

  • 市場定義和調查範圍
  • 主要調查結果
    • 主要的影響因素
    • 主要的投資策略
    • 主要的勝策略
  • 波特的五力分析
    • 新加入廠商者的威脅
    • 提供者談判力
    • 買主談判力
    • 替代品的威脅
    • 市場競爭
  • 價值鏈分析
  • 案例研究
  • 市場動態
    • 促進要素
    • 抑制因素
    • 市場機會

第4章 NoSQL的全球市場(資料庫類別)

  • Key-Value商店
    • 主要市場趨勢
    • 競爭方案
    • 主要的成長因素與市場機會
    • 市場規模與預測
  • 文獻型商店
    • 主要市場趨勢
    • 競爭方案
    • 主要的成長因素與市場機會
    • 市場規模與預測
  • 管柱型商店
    • 主要市場趨勢
    • 競爭方案
    • 主要的成長因素與市場機會
    • 市場規模與預測
  • 圖表型
    • 主要市場趨勢
    • 競爭方案
    • 主要的成長因素與市場機會
    • 市場規模與預測

第5章 NoSQL的全球市場(各應用領域)

  • 資料儲存
    • 市場規模與預測
  • 電子商務
    • 市場規模與預測
  • 行動應用程式
    • 市場規模與預測
  • 資料分析(或集積)
    • 市場規模與預測
  • 網站應用程式
    • 市場規模與預測
  • 社群網路
    • 市場規模與預測

第6章 NoSQL的全球市場(各產業)

  • 零售
    • 市場規模與預測
  • 線上遊戲
    • 市場規模與預測
  • IT
    • 社群網路的管理
    • 網站應用程式的管理
    • 市場規模與預測
  • 其他
    • 政府
    • 銀行·金融服務·保險
    • 醫療
    • 教育
    • 市場規模與預測

第7章 NoSQL的全球市場(各地區)

  • 北美
    • 主要市場趨勢
    • 競爭方案
    • 主要的成長因素與市場機會
    • 市場規模與預測
  • 歐洲
    • 主要市場趨勢
    • 競爭方案
    • 主要的成長因素與市場機會
    • 市場規模與預測
  • 亞太地區
    • 主要市場趨勢
    • 競爭方案
    • 主要的成長因素與市場機會
    • 市場規模與預測
  • 南美·中東·非洲
    • 主要市場趨勢
    • 競爭方案
    • 主要的成長因素與市場機會
    • 市場規模與預測

第8章 企業簡介

  • MongoDB Inc.
    • 概要
    • 產業實際成果
    • 策略與發展
    • SWOT分析
  • Couchbase
    • 概要
    • 產業實際成果
    • 策略與發展
    • SWOT分析
  • Amazon Web Services
    • 概要
    • 產業實際成果
    • 策略與發展
    • SWOT分析
  • Aerospike
    • 概要
    • 產業實際成果
    • 策略與發展
    • SWOT分析
  • Neo Technology Inc.
    • 概要
    • 產業實際成果
    • 策略與發展
    • SWOT分析
  • Objectivity Inc.
    • 概要
    • 產業實際成果
    • 策略與發展
    • SWOT分析
  • Basho Technologies
    • 概要
    • 產業實際成果
    • 策略與發展
    • SWOT分析
  • Apache- Cassandra
    • 概要
    • 產業實際成果
    • 策略與發展
    • SWOT分析
  • Hypertable Inc.
    • 概要
    • 產業實際成果
    • 策略與發展
    • SWOT分析
  • MarkLogic
    • 概要
    • 產業實際成果
    • 策略與發展
    • SWOT分析
目錄
Product Code: IC 15640

NoSQL (Not Only SQL) is a database mechanism developed for storage, analysis and access of large volume of unstructured data. NoSQL allows schema-less data storage which is not possible with relational database storage. The benefits of using NoSQL database include high scalability, simpler designs and higher availability with more precise control. The ability to comfortably manage big data is another significant reason for the adoption of NoSQL databases. The lack of awareness regarding NoSQL benefits over relational database approaches is a major restraint for the wider adoption of NoSQL technology. Lack of infrastructure to support NoSQL solutions also limits its adoption among enterprises. However, in the next few years, the awareness would increase and NoSQL databases would witness rapid adoption in order to support explosively increased business data, especially, in social networks, retail, e-commerce, etc.

The market is segmented into types of NoSQL databases, into categories such as document store, key-value stores, graph based databases and column storage. According to applications, the market is classified into data storage, e-Commerce, web applications, social networking, mobile applications and data analytics. The NoSQL databases are found useful in industrial verticals such as retail, gaming, IT and others. Geographically, the market is segmented across North America, Europe, Asia-Pacific and Latin America, Middle East & Africa (LAMEA).

In order to gain competitive insights of the market, leading players are analyzed in the report along with their key business strategies. The report covers an analysis of key vendors such as MongoDB, Cassandra, Couchbase, Neo4j, MarkLogic, Amazon Web Services, Basho Technologies, Aerospike, InfiniteGraph and Hypertable Inc.

KEY BENEFITS

Competitive advantages of NoSQL features described in the report highlight the market potential in a comprehensive manner

Value chain analysis provides key inputs on the role of all key intermediaries in the market which would better help in devising appropriate strategies

Porter's five force analysis highlights the potency of suppliers & buyers along with a competitive scenario of the market, which would facilitate efficient business planning

Estimations are made in accordance to the current market scenario and projected future trends for the analysis period of 2014-2020, with base figures of 2013

MARKET SEGMENTATION

  • The global NoSQL market is segmented on the basis of types, applications, verticals and geographies.

MARKET BY TYPE

  • Key-value store
  • Document databases
  • Column based stores
  • Graph database

MARKET BY APPLICATION

  • Data storage
  • Metadata store
  • Cache memory
  • Distributed data depository
  • E-Commerce
  • Mobile Apps
  • Web applications
  • Data analytics
  • Social networking

MARKET BY VERTICALS

  • Retail
  • Online gaming
  • IT
  • Social network development
  • Web applications management
  • Others
  • Government
  • BFSI
  • Healthcare
  • Education

MARKET BY GEOGRAPHY

  • North America (NA)
  • Europe (EU)
  • Asia-Pacific (APAC)
  • Latin America, Middle-East and Africa (LAMEA)

KEY PLAYERS

  • MongoDB
  • Couchbase
  • Amazon Web Services
  • Aerospike
  • Neo4j
  • InfiniteGraph
  • Basho Technologies
  • Hypertable Inc.
  • Apache Cassandra
  • MarkLogic

Table of Contents

CHAPTER 1 - INTRODUCTION

  • 1.1. Report Description
  • 1.2. Key market segments
  • 1.3. Key benefits
  • 1.4. Research methodology
    • 1.4.1. Secondary research
    • 1.4.2. Primary research
    • 1.4.3. Analyst tools and models

CHAPTER 2 - EXECUTIVE SUMMARY

  • 2.1. CXO perspectives
  • 2.2. Market beyond: What to expect by 2025
    • 2.2.1. Base case scenario
    • 2.2.2. Optimistic case scenario
    • 2.2.3. Critical case scenario

CHAPTER 3 - MARKET OVERVIEW

  • 3.1. Market definition and scope
  • 3.2. Key findings
    • 3.2.1. Top impacting factors
    • 3.2.2. Top investment pockets
    • 3.2.3. Top winning strategies
  • 3.3. Porter's five forces analysis
    • 3.3.1. Threat of new entrants
    • 3.3.2. Bargaining power of suppliers
    • 3.3.3. Bargaining power of buyers
    • 3.3.4. Threat of substitutes
    • 3.3.5. Industry rivalry
  • 3.4. Value chain analysis
  • 3.5. Case studies
  • 3.6. Market dynamics
    • 3.6.1. Drivers
      • 3.6.1.1. Rise in unstructured data
      • 3.6.1.2. Attractive business models
      • 3.6.1.3. Demand for data analytics
      • 3.6.1.4. Growing App development business
    • 3.6.2. Restraints
      • 3.6.2.1. Difficulties while testing of NoSQL applications
      • 3.6.2.2. Problems while adoption in structured data applications
    • 3.6.3. Opportunities
      • 3.6.3.1. Growing Big Data market
      • 3.6.3.2. Partnership in the field of Big Data and NoSQL market

CHAPTER 4 - GLOBAL NOSQL MARKET BY DATABASE TYPE

  • 4.1. Key value store
    • 4.1.1. Key market trends
    • 4.1.2. Competitive scenario
    • 4.1.3. Key growth factors & opportunities
    • 4.1.4. Market size and forecast
  • 4.2. Document based store
    • 4.2.1. Key market trends
    • 4.2.2. Competitive scenario
    • 4.2.3. Key growth factors & opportunities
    • 4.2.4. Market size and forecast
  • 4.3. Column based store
    • 4.3.1. Key market trends
    • 4.3.2. Competitive scenario
    • 4.3.3. Key growth factors & opportunities
    • 4.3.4. Market size and forecast
  • 4.4. Graph based
    • 4.4.1. Key market trends
    • 4.4.2. Competitive scenario
    • 4.4.3. Key growth factors & opportunities
    • 4.4.4. Market size and forecast

CHAPTER 5 - GLOBAL NOSQL MARKET BY APPLICATIONS

  • 5.1. Data storage
    • 5.1.1.1. Distributed data depository
    • 5.1.1.2. Cache memory
    • 5.1.1.3. Metadata store
    • 5.1.2. Market size and forecast
  • 5.2. E-commerce
    • 5.2.1. Market size and forecast
  • 5.3. Mobile Apps
    • 5.3.1. Market size and forecast
  • 5.4. Data analytics (or aggregation)
    • 5.4.1. Market size and forecast
  • 5.5. Web applications
    • 5.5.1.1. Session store
    • 5.5.1.2. Ad targeting
    • 5.5.1.3. User profile management
    • 5.5.2. Market size and forecast
  • 5.6. Social networking
    • 5.6.1.1. Social games
    • 5.6.2. Market size and forecast

CHAPTER 6 - GLOBAL NOSQL MARKET BY VERTICALS

  • 6.1. Retail
    • 6.1.1. Market size and forecast
  • 6.2. Online Gaming
    • 6.2.1. Market size and forecast
  • 6.3. IT
    • 6.3.1. Social network management
    • 6.3.2. Web applications management
    • 6.3.3. Market size and forecast
  • 6.4. Others
    • 6.4.1. Government
    • 6.4.2. BFSI
    • 6.4.3. Healthcare
    • 6.4.4. Education
    • 6.4.5. Market size and forecast

CHAPTER 7 - GLOBAL NOSQL MARKET

  • 7.1. North America
    • 7.1.1. Key market trends
    • 7.1.2. Competitive scenario
    • 7.1.3. Key growth factors and opportunities
    • 7.1.4. Market size and forecast
  • 7.2. Europe
    • 7.2.1. Key market trends
    • 7.2.2. Competitive scenario
    • 7.2.3. Key growth factors and opportunities
    • 7.2.4. Market size and forecast
  • 7.3. Asia-Pacific
    • 7.3.1. Key market trends
    • 7.3.2. Competitive scenario
    • 7.3.3. Key growth factors and opportunities
    • 7.3.4. Market size and forecast
  • 7.4. Latin America, Middle East and Africa (LAMEA)
    • 7.4.1. Key market trends
    • 7.4.2. Competitive scenario
    • 7.4.3. Key growth factors and opportunities
    • 7.4.4. Market size and forecast

CHAPTER 8 - COMPANY PROFILES

  • 8.1. MongoDB Inc.
    • 8.1.1. Company overview
    • 8.1.2. Company snapshot
    • 8.1.3. Key strategies and developments
    • 8.1.4. SWOT analysis of MongoDB
  • 8.2. Couchbase
    • 8.2.1. Company overview
    • 8.2.2. Company snapshot
    • 8.2.3. Key strategies and developments
    • 8.2.4. SWOT analysis of Couchbase
  • 8.3. Amazon Web Services
    • 8.3.1. Company overview:
    • 8.3.2. Company snapshot
    • 8.3.3. Business performance
    • 8.3.4. Key strategies and developments
    • 8.3.5. SWOT analysis of Amazon Web Services
  • 8.4. Aerospike
    • 8.4.1. Company overview
    • 8.4.2. Company snapshot
    • 8.4.3. Key strategies and developments
    • 8.4.4. SWOT analysis of Aerospike
  • 8.5. Neo Technology Inc.
    • 8.5.1. Company overview
    • 8.5.2. Company snapshot
    • 8.5.3. Key strategies and developments
    • 8.5.4. SWOT analysis of Neo Technologies
  • 8.6. Objectivity Inc.
    • 8.6.1. Company overview
    • 8.6.2. Company snapshot
    • 8.6.3. Key strategies and developments
    • 8.6.4. SWOT analysis of InfiniteGraph
  • 8.7. Basho Technologies
    • 8.7.1. Company overview
    • 8.7.2. Company snapshot
    • 8.7.3. Key strategies and developments
    • 8.7.4. SWOT analysis of Basho Technologies
  • 8.8. Apache- Cassandra
    • 8.8.1. Company overview
    • 8.8.2. Company snapshot
    • 8.8.3. Key strategies and developments
    • 8.8.4. SWOT analysis of Apache Cassandra
  • 8.9. Hypertable Inc.
    • 8.9.1. Company overview
    • 8.9.2. Company snapshot
    • 8.9.3. Key strategies and developments
    • 8.9.4. SWOT analysis of Hypertable
  • 8.10. MarkLogic
    • 8.10.1. Company overview
    • 8.10.2. Company snapshot
    • 8.10.3. Key strategies and developments
    • 8.10.4. SWOT analysis of MarkLogic

List of Tables

  • TABLE 1: NOSQL MARKET BY GEOGRAPHY, 2013-2020 ($MILLION)
  • TABLE 2: NOSQL MARKET BY GEOGRAPHY, 2013-2020 ($ MILLION)
  • TABLE 3: NOSQL BASE CASE SCENARIO MARKET BY GEOGRAPHY, 2020-2025 ($ MILLION)
  • TABLE 4: NOSQL OPTIMISTIC CASE SCENARIO MARKET BY GEOGRAPHY, 2020-2025 ($ MILLION)
  • TABLE 5: NOSQL CRITICAL CASE SCENARIO MARKET BY GEOGRAPHY, 2020-2025 ($ MILLION)
  • TABLE 6: GLOBAL NOSQL MARKET BY TYPE, 2013-2020 ($ MILLION)
  • TABLE 7: GLOBAL KEY VALUE STORE NOSQL MARKET BY GEOGRAPHY, 2013-2020 ($MILLION)
  • TABLE 8: GLOBAL DOCUMENT STORE NOSQL MARKET BY GEOGRAPHY, 2013-2020 ($MILLION)
  • TABLE 9: GLOBAL COLUMN BASED NOSQL MARKET BY GEOGRAPHY, 2013-2020 ($MILLION)
  • TABLE 10: GLOBAL GRAPH BASED NOSQL MARKET BY GEOGRAPHY, 2013-2020 ($MILLION)
  • TABLE 11: GLOBAL NOSQL MARKET BY APPLICATIONS BY GEOGRAPHY, 2013-2020 ($ MILLION)
  • TABLE 12: GLOBAL DATA STORAGE NOSQL MARKET BY GEOGRAPHY, 2013-2020 ($ MILLION)
  • TABLE 13: GLOBAL E-COMMERCE NOSQL MARKET BY GEOGRAPHY, 2013-2020 ($ MILLION)
  • TABLE 14: GLOBAL MOBILE NOSQL APPLICATIONS MARKET BY GEOGRAPHY, 2013-2020 ($ MILLION)
  • TABLE 15: GLOBAL DATA ANALYTICS NOSQL MARKET BY GEOGRAPHY, 2013-2020 ($ MILLION)
  • TABLE 16: GLOBAL NOSQL WEB APPLICATIONS MARKET BY GEOGRAPHY 2013-2020 ($ MILLION)
  • TABLE 17: GLOBAL SOCIAL NETWORKING NOSQL APPLICATIONS MARKET BY GEOGRAPHY, 2013-2020 ($ MILLION)
  • TABLE 18: GLOBAL NOSQL MARKET BY VERTICALS, 2013-2020 ($ MILLION)
  • TABLE 19: GLOBAL NOSQL RETAIL USE MARKET BY GEOGRAPHY, 2013-2020 ($ MILLION)
  • TABLE 20: GLOBAL NOSQL ONLINE GAME DEVELOPMENT USE MARKET BY GEOGRAPHY, 2013-2020 ($ MILLION)
  • TABLE 21: GLOBAL NOSQL IT USE MARKET BY VERTICALS, 2013-2020 ($ MILLION)
  • TABLE 22: GLOBAL NOSQL IT USE MARKET BY GEOGRAPHY, 2013-2020 ($ MILLION)
  • TABLE 23: GLOBAL NOSQL OTHER VERTICAL USES MARKET BY GEOGRAPHY, 2013-2020 ($ MILLION)
  • TABLE 24: NORTH AMERICAN NOSQL MARKET BY APPLICATIONS, 2013-2020 ($ MILLION)
  • TABLE 25: EUROPEAN NOSQL MARKET BY APPLICATIONS, 2013-2020 ($ MILLION)
  • TABLE 26: ASIA-PACIFIC NOSQL MARKET BY APPLICATIONS, 2013-2020 ($ MILLION)
  • TABLE 27: LAMEA NOSQL MARKET BY APPLICATIONS, 2013-2020 ($ MILLION)
  • TABLE 28: MONGODB SNAPSHOT
  • TABLE 29: COUCHBASE SNAPSHOT
  • TABLE 30: AMAZON WEB SERVICES SNAPSHOT
  • TABLE 31: AEROSPIKE SNAPSHOT
  • TABLE 32: NEO TECHNOLOGIES SNAPSHOT
  • TABLE 33: INFINITEGRAPH SNAPSHOT
  • TABLE 34: BASHO TECHNOLOGIES SNAPSHOT
  • TABLE 35: APACHE SNAPSHOT
  • TABLE 36: HYPERTABLE SNAPSHOT
  • TABLE 37: MARKLOGIC SNAPSHOT

List of Figures

  • FIG. 1: TOP IMPACTING FACTORS, BASE CASE (2020-2025)
  • FIG. 2: TOP IMPACTING FACTORS, OPTIMISTIC CASE (2020-2025)
  • FIG. 3: TOP IMPACTING FACTORS, CRITICAL CASE (2020-2025)
  • FIG. 4: TOP IMPACTING FACTORS
  • FIG. 5: TOP INVESTMENT POCKETS OF NOSQL MARKET
  • FIG. 6: TOP WINNING STRATEGIES IN NOSQL MARKET
  • FIG. 7: TOP WINNING STRATEGIES IN NOSQL MARKET BY LEADING PLAYERS
  • FIG. 8: PORTER'S MODEL OF NOSQL MARKET
  • FIG. 9: VALUE CHAIN MODEL OF NOSQL MARKET
  • FIG. 10: RISING DATA VOLUMES
  • FIG. 11: EXAMPLE OF KEY-VALUE PAIR
  • FIG. 12: EXAMPLE OF DOCUMENT DATABASE
  • FIG. 13: EXAMPLE OF COLUMN STORE DATABASE
  • FIG. 14: EXAMPLE OF GRAPH DATABASE
  • FIG. 15: SWOT ANALYSIS OF MONGODB
  • FIG. 16: SWOT ANALYSIS OF COUCHBASE
  • FIG. 17: REVENUE BY PRODUCTS AND SERVICES
  • FIG. 18: REVENUE BY GEOGRAPHY ($ MILLION)
  • FIG. 19: SWOT ANALYSIS OF AMAZON WEB SERVICES
  • FIG. 20: SWOT ANALYSIS OF AEROSPIKE
  • FIG. 21: SWOT ANALYSIS OF NEO TECHNOLOGIES
  • FIG. 22: SWOT ANALYSIS OF INFINITEGRAPH
  • FIG. 23: SWOT ANALYSIS OF BASHO TECHNOLOGIES
  • FIG. 24: SWOT ANALYSIS OF APACHE
  • FIG. 25: SWOT ANALYSIS OF HYPERTABLE
  • FIG. 26: SWOT ANALYSIS OF MARKLOGIC
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