세계 데이터 관리 플랫폼 시장 규모는 조사 기간에 복합 연간 성장률(CAGR)로 14.1%의 성장이 예측되고 있습니다.
지역 고찰
전체 시장에서는 북미가 가장 큰 점유율을 차지할 것으로 예상됩니다.
북미가 2022년 세계 수익 점유율의 34.3%를 차지하였습니다. Adobe, Oracle Bluekai 등 기업의 존재가 이 지역 시장 성장 촉진요인이 될 것으로 예측됩니다. 북미에서는 온라인 고객 증가와 인터넷 보급으로 시장 확대가 예상됩니다.
또한 유럽이 2022년 시장 전체의 24.8% 점유율을 차지하였습니다. 모바일 데이터 계약 증가와 인터넷 이용률의 상당한 상승으로 유럽 시장 성장이 예상됩니다.
이 보고서는 세계 데이터 관리 플랫폼 시장에 대해 조사 분석하고 시장 역학, 지역 및 부문 분석, 기업 프로파일 등을 제공합니다.
목차
제1장 주요 요약
- 시장의 매력 분석
- 세계 데이터 관리 플랫폼 시장 : 데이터 유형별
- 세계 데이터 관리 플랫폼 시장 : 데이터 소스별
- 세계 데이터 관리 플랫폼 시장 : 최종 사용자별
- 세계 데이터 관리 플랫폼 시장 : 지역별
제2장 시장의 소개
제3장 조사 방법
제4장 시장 역학
- 소개
- 성장 촉진요인
- 마케팅 담당자 및 광고업체를 위한 개별화된 정보의 필요성
- 고객 유지, ROI
- 성장 촉진요인의 영향 분석
- 억제요인
- DMP에 많은 다른 기술의 참여, 숙련된 인재의 필요성
- 억제요인의 영향 분석
- 기회
- COVID-19의 영향 분석
- 반도체 제조업체에 대한 영향
- 센서 제조업체에 대한 영향
- 디바이스 제조업체에 대한 영향
- 공급망 지연에 대한 COVID-19의 영향
제5장 시장 요인 분석
- 밸류체인 분석 및 공급체인 분석
- Porter's Five Forces 분석 모델
제6장 세계 데이터 관리 플랫폼 시장 : 데이터 유형별
- 소개
- 퍼스트 파티
- 세컨드 파티
- 서드 파티
- 해석 데이터
제7장 세계 데이터 관리 플랫폼 시장 : 데이터 소스별
- 소개
- 웹 애널리틱스 도구
- 모바일 웹
- 모바일 앱
- CRM 데이터
- POS 데이터
- 소셜 네트워크
제8장 세계 데이터 관리 플랫폼 시장 : 최종 사용자별
제9장 세계 데이터 관리 플랫폼 시장 규모 추계와 예측 : 지역별
- 소개
- 북미
- 시장의 추계와 예측: 국가별(2018년-2027년)
- 시장의 추계와 예측 : 데이터 유형별(2018년-2027년)
- 시장의 추계와 예측 : 데이터 소스별(2018년-2027년)
- 시장의 추계와 예측 : 최종사용자별(2018년-2027년)
- 시장의 추계와 예측 : 최종사용자별(2018년-2027년)
- 미국
- 캐나다
- 멕시코
- 유럽
- 시장의 추계와 예측 : 국가별(2018년-2027년)
- 시장의 추계와 예측 : 데이터 유형별(2018년-2027년)
- 시장의 추계와 예측 : 데이터 소스별(2018년-2027년)
- 시장의 추계와 예측 : 최종사용자별(2018년-2027년)
- 영국
- 독일
- 프랑스
- 기타 유럽
- 아시아태평양
- 시장의 추계와 예측: 국가별(2018년-2027년)
- 시장의 추계와 예측 : 데이터 유형별(2018년-2027년)
- 시장의 추계와 예측 : 데이터 소스별(2018년-2027년)
- 시장의 추계와 예측 : 최종사용자별(2018년-2027년)
- 중국
- 일본
- 인도
- 기타 아시아태평양
- 중동 및 아프리카
- 남미
제10장 경쟁 구도
- 소개
- 주요 발전과 성장 전략
- 경쟁의 벤치마크
- 벤더 점유율 분석(2022년)
제11장 기업 프로파일
- ORACLE CORPORATION
- ADOBE SYSTEMS
- KBM GROUP LLC
- ROCKET FUEL INC
- KRUX DIGITAL INC
- LOTAME SOLUTIONS INC
- TURN INC
- NEUSTAR INC
- SAS INSTITUTE
- SAP SE
BJH
Market Overview
Data Management Platform Market is anticipated to register a CAGR of 14.1% during the review period. The huge ascent deprived for the point-by-point data about the designated client so that considering his exercises, decisions and preferences, explicit items and administrations can be conveyed to them.
Data management platforms gather huge measure of data of clients involving various administrations and items in their everyday lives. This data is being put away by clients, for example, marketers, promotional firms and distributers with the goal that they can make a profile of clients which contains their preferences, exercises and their decisions for items and administrations. Such profiles are customized for every single client and afterward decisively utilizing these profiles various commercials connected with administrations and items are pushes to the clients utilizing web advertisements, online entertainment platforms, for example, Instagram and Facebook and different web crawlers like chrome. Consequently, promotional firms and marketers are utilizing propensities, preferences and selections of clients by distinguishing, putting away and dissecting the data put away in data management platforms and creating business for them.
Market Segment Insights
First party, second party, and third-party data types comprise the three main market segments for data management platforms.
The segment is split into web analytics tools, mobile apps, mobile web, CRM data, POS data, and social networks, according to Data Sources.
According to the Data Management Platforms market research segmentation, the market is divided into publishers, ad agencies, and marketers based on the end users.
Regional Insights
North America is expected to have the largest share of the overall Data Management Platforms market.
Organization in the North American region are the first ones to use Data Management Platforms for providing services and solutions to the ad agencies and marketers across the globe. For instance, in 2022, north America is expected to have 34.3% of the global revenue share of the market. The presence of players like Adobe, Oracle Bluekai and others are expected to be the driving factors for the data management platform market in the region. Because of rise in the number of online customers and internet penetration in the north American region, the market in the region is expected to grow.
Also, Europe is expected to have 24.8% of the total share of market in 2022. Because of growing mobile data subscription and massive rise in internet usage, the market is expected to grow in the European region. According to International Telecommunication Union, Europe has the highest usage of internet which amounts to 82% of the total population in the region using internet as in 2019. From year 2013, it has witnessed 57% rise in mobile data subscription.
Major Players
Key Companies in the Data Management Platforms Market include Oracle Corporation, Adobe Systems Inc, KBM group LLC, Rocket fuel INC, Crux digital INC, Lotame solutions inc, Turn INC, Neustar INC, SAS institute, SAP SE, and Cloudera INC.
TABLE OF CONTENTS
TABLE OF CONTENTS
1. EXECUTIVE SUMMARY
- 1.1. MARKET ATTRACTIVENESS ANALYSIS
- 1.1.1. GLOBAL DATA MANAGEMENT PLATFORM MARKET, BY DATA TYPE
- 1.1.2. GLOBAL DATA MANAGEMENT PLATFORM MARKET, BY DATA SOURCE
- 1.1.3. GLOBAL DATA MANAGEMENT PLATFORM MARKET, BY END USER
- 1.1.4. GLOBAL DATA MANAGEMENT PLATFORM MARKET, BY REGION
2. MARKET INTRODUCTION
- 2.1. DEFINITION
- 2.2. SCOPE OF THE STUDY
- 2.3. MARKET STRUCTURE
- 2.4. KEY BUYING CRITERIA
- 2.5. MACRO FACTOR INDICATOR ANALYSIS
3. RESEARCH METHODOLOGY
- 3.1. RESEARCH PROCESS
- 3.2. PRIMARY RESEARCH
- 3.3. SECONDARY RESEARCH
- 3.4. MARKET SIZE ESTIMATION
- 3.5. FORECAST MODEL
- 3.6. LIST OF ASSUMPTIONS
4. MARKET DYNAMICS
- 4.1. INTRODUCTION
- 4.2. DRIVERS
- 4.2.1. NEED OF PERSONALIZED INFORMATION FOR MARKETERS AND AD AGENCIES
- 4.2.2. CUSTOMER RETENTION AND ROI
- 4.2.3. . DRIVER IMPACT ANALYSIS
- 4.3. RESTRAINTS
- 4.3.1. INVOLVEMENT OF MANY OTHER TECHNOLOGIES IN DMP AND NEED OF SKILLED PERSONNEL
- 4.3.2. RESTRAINT IMPACT ANALYSIS
- 4.4. OPPORTUNITIES
- 4.4.1. INCREASED INTERNET USAGE AND SURGE IN ONLINE CUSTOMERS
- 4.5. COVID-19 IMPACT ANALYSIS
- 4.5.1. IMPACT ON SEMICONDUCTOR MANUFACTURERS
- 4.5.2. IMPACT ON SENSOR MANUFACTURERS
- 4.5.3. IMPACT ON DEVICE MANUFACTURERS
- 4.5.4. COVID-19 IMPACT ON SUPPLY CHAIN DELAYS
5. COVID-19 IMPACT ON SUPPLY CHAIN DELAYS MARKET FACTOR ANALYSIS
- 5.1. VALUE CHAIN ANALYSIS/SUPPLY CHAIN ANALYSIS
- 5.2. PORTER'S FIVE FORCES MODEL
- 5.3. BARGAINING POWER OF SUPPLIERS
- 5.4. BARGAINING POWER OF BUYERS
- 5.5. THREAT OF NEW ENTRANTS
- 5.6. THREAT OF SUBSTITUTES
- 5.7. INTENSITY OF RIVALRY
6. GLOBAL DATA MANAGEMENT PLATFORM MARKET, BY DATA TYPE
- 6.1. INTRODUCTION
- 6.2. FIRST PARTY
- 6.3. SECOND PARTY
- 6.4. THIRD PARTY
- 6.5. INTERPRETATION DATA
7. GLOBAL DATA MANAGEMENT PLATFORM MARKET, BY DATA SOURCE
- 7.1. INTRODUCTION
- 7.2. WEB ANALYTICS TOOL
- 7.3. MOBILE WEB
- 7.4. MOBILE APPS
- 7.5. CRM DATA
- 7.6. POS DATA
- 7.7. SOCIAL NETWORK
8. GLOBAL DATA MANAGEMENT PLATFORM MARKET, BY END USERS
- 8.1. INTRODUCTION
- 8.2. AD AGENCIES
- 8.3. MARKETERS
- 8.4. PUBLISHERS
9. GLOBAL DATA MANAGEMENT PLATFORM MARKET SIZE ESTIMATION & FORECAST, BY REGION
- 9.1. INTRODUCTION
- 9.2. NORTH AMERICA
- 9.2.1. MARKET ESTIMATES & FORECAST, BY COUNTRY, 2018-2027
- 9.2.2. MARKET ESTIMATES & FORECAST, BY DATA TYPE, 2018-2027
- 9.2.3. MARKET ESTIMATES & FORECAST, BY DATA SOURCE, 2018-2027
- 9.2.4. MARKET ESTIMATES & FORECAST, BY END USERS, 2018-2027
- 9.2.5. MARKET ESTIMATES & FORECAST, BY END USER, 2018-2027
- 9.2.6. US
- 9.2.6.1. MARKET ESTIMATES & FORECAST, BY DATA TYPE, 2018-2027
- 9.2.6.2. MARKET ESTIMATES & FORECAST, BY DATA SOURCE, 2018-2027
- 9.2.6.3. MARKET ESTIMATES & FORECAST, BY END USERS, 2018-2027
- 9.2.7. CANADA
- 9.2.7.1. MARKET ESTIMATES & FORECAST, BY DATA TYPE, 2018-2027
- 9.2.7.2. MARKET ESTIMATES & FORECAST, BY DATA SOURCE, 2018-2027
- 9.2.7.3. MARKET ESTIMATES & FORECAST, BY END USERS, 2018-2027
- 9.2.7.4. MARKET ESTIMATES & FORECAST, BY END USER, 2018-2027
- 9.2.8. MEXICO
- 9.2.8.1. MARKET ESTIMATES & FORECAST, BY DATATYPE, 2018-2027
- 9.2.8.2. MARKET ESTIMATES & FORECAST, BY DATA SOURCE, 2018-2027
- 9.2.8.3. MARKET ESTIMATES & FORECAST, BY END USERS, 2018-2027
- 9.2.8.4. MARKET ESTIMATES & FORECAST, BY END USER, 2018-2027
- 9.3. EUROPE
- 9.3.1. MARKET ESTIMATES & FORECAST, BY COUNTRY, 2018-2027
- 9.3.2. MARKET ESTIMATES & FORECAST, BY DATA TYPE, 2018-2027
- 9.3.3. MARKET ESTIMATES & FORECAST, BY DATA SOURCE, 2018-2027
- 9.3.4. MARKET ESTIMATES & FORECAST, BY END USERS, 2018-2027
- 9.3.5. UK
- 9.3.5.1. MARKET ESTIMATES & FORECAST, BY DATA TYPE, 2018-2027
- 9.3.5.2. MARKET ESTIMATES & FORECAST, BY DATA SOURCE, 2018-2027
- 9.3.5.3. MARKET ESTIMATES & FORECAST, BY END USERS, 2018-2027
- 9.3.6. GERMANY
- 9.3.6.1. MARKET ESTIMATES & FORECAST, BY DATA TYPE, 2018-2027
- 9.3.6.2. MARKET ESTIMATES & FORECAST, BY DATA SOURCE, 2018-2027
- 9.3.6.3. MARKET ESTIMATES & FORECAST, BY END USERS, 2018-2027
- 9.3.7. FRANCE
- 9.3.7.1. MARKET ESTIMATES & FORECAST, BY DATA TYPE, 2018-2027
- 9.3.7.2. MARKET ESTIMATES & FORECAST, BY DATA SOURCE, 2018-2027
- 9.3.7.3. MARKET ESTIMATES & FORECAST, BY END USERS, 2018-2027
- 9.3.8. REST OF EUROPE
- 9.3.8.1. MARKET ESTIMATES & FORECAST, BY DATA TYPE, 2018-2027
- 9.3.8.2. MARKET ESTIMATES & FORECAST, BY DATA SOURCE, 2018-2027
- 9.3.8.3. MARKET ESTIMATES & FORECAST, BY END USERS, 2018-2027
- 9.4. ASIA-PACIFIC
- 9.4.1. MARKET ESTIMATES & FORECAST, BY COUNTRY, 2018-2027
- 9.4.2. MARKET ESTIMATES & FORECAST, BY DATA TYPE, 2018-2027
- 9.4.3. MARKET ESTIMATES & FORECAST, BY DATA SOURCE, 2018-2027
- 9.4.4. MARKET ESTIMATES & FORECAST, BY END USERS, 2018-2027
- 9.4.5. CHINA
- 9.4.5.1. MARKET ESTIMATES & FORECAST, BY DATA TYPE, 2018-2027
- 9.4.5.2. MARKET ESTIMATES & FORECAST, BY DATA SOURCE, 2018-2027
- 9.4.5.3. MARKET ESTIMATES & FORECAST, BY END USERS, 2018-2027
- 9.4.6. JAPAN
- 9.4.6.1. MARKET ESTIMATES & FORECAST, BY DATA TYPE, 2018-2027
- 9.4.6.2. MARKET ESTIMATES & FORECAST, BY DATA SOURCE, 2018-2027
- 9.4.6.3. MARKET ESTIMATES & FORECAST, BY END USERS, 2018-2027
- 9.4.7. INDIA
- 9.4.7.1. MARKET ESTIMATES & FORECAST, BY DATA TYPE, 2018-2027
- 9.4.7.2. MARKET ESTIMATES & FORECAST, BY DATA SOURCE, 2018-2027
- 9.4.7.3. MARKET ESTIMATES & FORECAST, BY END USERS, 2018-2027
- 9.4.8. REST OF ASIA-PACIFIC
- 9.4.8.1. MARKET ESTIMATES & FORECAST, BY DATA TYPE, 2018-2027
- 9.4.8.2. MARKET ESTIMATES & FORECAST, BY DATA SOURCE, 2018-2027
- 9.4.8.3. MARKET ESTIMATES & FORECAST, BY END USERS, 2018-2027
- 9.5. MIDDLE EAST & AFRICA
- 9.5.1. MARKET ESTIMATES & FORECAST, BY DATA TYPE, 2018-2027
- 9.5.2. MARKET ESTIMATES & FORECAST, BY DATA SOURCE, 2018-2027
- 9.5.3. MARKET ESTIMATES & FORECAST, BY END USERS, 2018-2027
- 9.5.4. MARKET ESTIMATES & FORECAST, BY END USER, 2018-2027
- 9.6. SOUTH AMERICA
- 9.6.1. MARKET ESTIMATES & FORECAST, BY DATA TYPE, 2018-2027
- 9.6.2. MARKET ESTIMATES & FORECAST, BY DATA SOURCE, 2018-2027
- 9.6.3. MARKET ESTIMATES & FORECAST, BY END USERS, 2018-2027
- 9.6.4. MARKET ESTIMATES & FORECAST, BY END USER, 2018-2027
10. COMPETITIVE LANDSCAPE
- 10.1. INTRODUCTION
- 10.2. KEY DEVELOPMENTS & GROWTH STRATEGIES
- 10.3. COMPETITOR BENCHMARKING
- 10.4. VENDOR SHARE ANALYSIS, 2022(% SHARE)
11. COMPANY PROFILES
- 11.1. ORACLE CORPORATION
- 11.2. ADOBE SYSTEMS
- 11.3. KBM GROUP LLC
- 11.4. ROCKET FUEL INC
- 11.5. KRUX DIGITAL INC
- 11.6. LOTAME SOLUTIONS INC
- 11.7. TURN INC
- 11.8. NEUSTAR INC
- 11.9. SAS INSTITUTE
- 11.10. SAP SE
- 11.11. COMPANY OVERVIEW
- 11.11.1. FINANCIAL OVERVIEW
- 11.11.2. SOLUTION/DATA OFFERED
- 11.11.3. KEY DEVELOPMENTS
- 11.11.4. SWOT ANALYSIS
- 11.11.5. KEY STRATEGIES
