세계의 데이터 수익화 시장 규모, 점유율, 동향 분석 보고서 : 조직 규모별, 방법별, 업계별, 구성요소별, 지역별 전망 및 예측(2024-2031년)
Global Data Monetization Market Size, Share & Trends Analysis Report By Organization Size (Large Enterprises, and SMEs), By Method, By Vertical, By Component, By Regional Outlook and Forecast, 2024 - 2031
상품코드:1709850
리서치사:KBV Research
발행일:2025년 04월
페이지 정보:영문 372 Pages
라이선스 & 가격 (부가세 별도)
한글목차
세계 데이터 수익화 시장 규모는 예측 기간 동안 24.4%의 CAGR로 증가하여 2031년까지 171억 2,000만 달러에 달할 것으로 예상됩니다.
KBV Cardinal matrix - 데이터 수익화 시장 경쟁 분석
KBV Cardinal matrix의 분석에 따르면, Google LLC와 Microsoft Corporation은 데이터 수익화 시장의 선구자이며, 2024년 7월, Microsoft Corporation은 소매 미디어의 파편화에 대응하기 위해 광고 회사인 크리테오와의 제휴를 발표했습니다. 이번 제휴를 통해 마이크로소프트의 수요와 크리테오의 세계 리테일 네트워크가 통합되어 광고주의 구매 경험을 향상시킬 수 있게 됩니다. Oracle Corporation, Cisco Systems, Inc. 및 Siemens AG와 같은 기업들은 데이터 수익화 시장의 주요 혁신 기업으로서, 이번 통합을 통해 새로운 수익 창출 기회를 창출하고 AI 기반 혁신을 통해 광고 성과를 향상시킬 수 있을 것으로 기대하고 있습니다.
시장 성장요인
조직은 의사결정 프로세스 강화, 업무 최적화 및 경쟁 우위 확보를 위해 데이터 활용을 강화하고 있습니다. 기업들은 마케팅, 고객 참여, 공급망 관리 및 리스크 평가에서 정보에 입각한 의사결정을 내릴 수 있도록 기존의 직관적 전략에서 데이터 기반 접근 방식으로 전환하고 있습니다. 방대한 양의 정형 및 비정형 데이터를 분석함으로써 기업은 실용적인 인사이트를 얻고 다양한 부문의 생산성과 효율성을 향상시킬 수 있습니다. 이처럼 데이터 기반 의사결정에 대한 기업의 수요 증가가 시장 성장을 견인하고 있습니다.
또한, 클라우드 컴퓨팅은 기업의 데이터 저장, 관리 및 처리 방식에 혁명을 일으켜 수익 창출에 큰 영향을 미치고 있습니다. 전통적인 온프레미스 인프라는 확장성, 비용 효율성, 향상된 보안을 제공하는 클라우드 기반 데이터 플랫폼으로 대체되고 있습니다. 클라우드 솔루션은 조직이 여러 소스로부터 데이터를 원활하게 수집하고 분석하여 가치를 창출하고 파트너 및 고객과 인사이트를 쉽게 공유할 수 있게 해줍니다. 따라서 클라우드 기반 데이터 수익화 솔루션의 도입 증가는 시장 성장을 견인하는 요인으로 작용하고 있습니다.
시장 억제요인
그러나 데이터 수익화 도입이 확대됨에 따라 기업은 다양한 사이버 보안 위협에 취약해지고 있으며, 그 중에서도 데이터 유출은 가장 심각한 위험 중 하나입니다. 기업이 방대한 양의 소비자 데이터와 비즈니스 데이터를 수집, 저장, 판매함에 따라 사이버 범죄자들에게 좋은 표적이 되고 있습니다. 위협 행위자들은 데이터 스토리지 시스템, 클라우드 플랫폼, API의 취약점을 악용하여 기밀 정보에 무단으로 접근하고, 금전적 손실, 평판 손상, 법적 책임을 초래하고 있습니다. 이처럼 데이터 유출과 사이버 보안 위협의 높은 위험은 안전한 수익 창출에 대한 도전이 되고 있습니다.
조직 규모 전망
조직 규모에 따라 시장은 대기업과 중소기업으로 분류됩니다. 중소기업 부문은 2023년 전체 시장에서 33%의 매출 점유율을 기록했습니다. 중소기업은 경쟁 우위를 확보하고 비즈니스 성장을 촉진하기 위해 데이터 수익화의 가치를 점점 더 많이 인식하고 있습니다. 클라우드 기반 솔루션과 합리적인 가격의 AI 기반 분석의 등장으로 중소기업은 고객 데이터, 판매 인사이트, 운영 데이터를 활용하여 마케팅 전략을 강화하고, 공급망을 최적화하며, 서비스 제공을 개선할 수 있게 되었습니다.
방법론의 전망
분석 방법론에 따라 데이터 서비스형(DaaS), 인사이트 서비스형(IaaS), 분석 지원 플랫폼 서비스형(PaaS), 임베디드 애널리틱스(Embedded Analytics)로 분류됩니다. 임베디드 애널리틱스 분야는 2023년 시장 수익의 32%를 차지했습니다. 임베디드 애널리틱스를 통해 기업은 고급 데이터 분석을 애플리케이션, 소프트웨어, 비즈니스 프로세스에 직접 통합하여 실시간 인사이트와 데이터 기반 의사결정을 내릴 수 있습니다. 이 방법은 헬스케어, 제조, 소매 업계에서 점점 더 많이 채택되고 있으며, 원활한 데이터 통합을 통해 사용자 경험을 개선하고 업무 효율성을 향상시키고자 하는 조직이 증가하고 있습니다.
산업별 전망
시장은 산업별로 BFSI, BFSI, E-Commerce 및 소매, 통신 및 IT, 제조, 헬스케어, 에너지 및 유틸리티, 기타로 분류됩니다. 통신 및 IT 부문은 2023년 시장 매출의 18%를 차지했습니다. 통신 및 IT 기업들은 고객과의 상호작용, 네트워크 사용량, 디지털 거래에서 방대한 양의 데이터를 생성합니다. 이들 조직은 타겟팅 광고, 네트워크 최적화, 예측 분석을 통해 데이터로 수익을 창출하고 고객 참여와 운영 효율을 향상시키고자 합니다.
구성요소 전망
이 시장은 구성요소별로 컨설팅, 구현 및 통합, 서비스, 지원 및 유지보수, R&D, 도구로 분류됩니다. 서비스 부문은 2023년 시장 매출 점유율의 18%를 차지했습니다. 이러한 성장은 전문 컨설팅, 맞춤형 솔루션, 교육 프로그램을 필요로 하는 이러한 수익화 전략의 채택이 증가함에 따라 성장세를 견인하고 있습니다. 기업들은 데이터 거버넌스 강화, 분석 기능 최적화, 효과적인 수익화 전략 수립을 위해 전문적인 서비스를 찾는 경향이 증가하고 있습니다.
지역 전망
지역별로는 북미, 유럽, 아시아태평양, LAMEA(라틴아메리카, 중동 및 아프리카)로 시장을 분석했습니다. 아시아태평양은 2023년 시장 매출 점유율의 26%를 차지했습니다. 이 지역의 성장은 디지털 전환의 진전, 인터넷 보급률의 증가, E-Commerce 및 핀테크 산업의 급속한 성장에 기인합니다. 중국, 인도, 일본 등의 국가에서는 데이터 기반 비즈니스 모델이 급증하고 있으며, 기업들은 타겟 마케팅, 고객 참여, 업무 효율화를 위해 데이터 분석을 적극적으로 활용하고 있습니다.
시장 경쟁과 특성
데이터 수익화 시장은 혁신적인 솔루션을 제공하는 스타트업과 틈새시장을 공략하는 기업들에 의해 주도되고 있으며, 치열한 경쟁이 계속되고 있습니다. 이들 기업은 AI 기반 분석, 산업별 수익화 전략, 데이터 보안에 중점을 두고 있습니다. 기업들이 비용 효율적이고 확장성이 높은 모델을 추구하고 금융, 헬스케어, 소매 등 다양한 분야의 데이터에서 가치를 창출하기 위해 파트너십과 기술 혁신을 추진하면서 경쟁은 더욱 치열해지고 있습니다.
목차
제1장 시장 범위와 조사 방법
시장 정의
목적
시장 범위
세분화
조사 방법
제2장 시장 요람
주요 하이라이트
제3장 시장 개요
소개
개요
시장 구성과 시나리오
시장에 영향을 미치는 주요 요인
시장 성장 촉진요인
시장 성장 억제요인
시장 기회
시장 과제
제4장 경쟁 분석 - 세계
KBV Cardinal Matrix
최근 업계 전체의 전략적 전개
파트너십, 협업 및 계약
제품 발매와 제품 확대
인수와 합병
시장 점유율 분석, 2023년
주요 성공 전략
주요 전략
주요 전략적 활동
Porter Five Forces 분석
제5장 세계의 데이터 수익화 시장 : 조직 규모별
세계의 대기업 시장 : 지역별
세계의 중소기업 시장 : 지역별
제6장 세계의 데이터 수익화 시장 : 방법별
세계의 분석 지원 Platform as a Service 시장 : 지역별
세계의 임베디드 분석 시장 : 지역별
세계의 Insight as a Service 시장 : 지역별
세계의 Data as a Service 시장 : 지역별
제7장 세계의 데이터 수익화 시장 : 업계별
세계의 BFSI 시장 : 지역별
세계의 통신·IT 시장 : 지역별
세계의 제조 시장 : 지역별
세계의 E-Commerce와 소매 시장 : 지역별
세계의 에너지·유틸리티 시장 : 지역별
세계의 헬스케어 시장 : 지역별
세계 기타 업계 시장 : 지역별
제8장 세계의 데이터 수익화 시장 : 구성요소별
세계의 툴 시장 : 지역별
세계의 구현 및 통합 시장 : 지역별
세계의 서비스 시장 : 지역별
세계의 컨설팅 시장 : 지역별
세계의 지원 및 유지보수 시장 : 지역별
세계의 연구개발 시장 : 지역별
제9장 세계의 데이터 수익화 시장 : 지역별
북미
북미의 데이터 수익화 시장 : 국가별
미국
캐나다
멕시코
기타 북미
유럽
유럽의 데이터 수익화 시장 : 국가별
독일
영국
프랑스
러시아
스페인
이탈리아
기타 유럽
아시아태평양
아시아태평양의 데이터 수익화 시장 : 국가별
중국
일본
인도
한국
싱가포르
말레이시아
기타 아시아태평양
라틴아메리카, 중동 및 아프리카
라틴아메리카, 중동 및 아프리카의 데이터 수익화 시장 : 국가별
브라질
아르헨티나
아랍에미리트
사우디아라비아
남아프리카공화국
나이지리아
기타 라틴아메리카, 중동 및 아프리카
제10장 기업 개요
Accenture PLC
Cisco Systems, Inc
Salesforce, Inc
IBM Corporation
Infosys Limited
SAP SE
Oracle Corporation
Google LLC(Alphabet Inc)
Microsoft Corporation
Siemens AG
제11장 데이터 수익화 시장 성공 필수 조건
ksm
영문 목차
영문목차
The Global Data Monetization Market size is expected to reach $17.12 billion by 2031, rising at a market growth of 24.4% CAGR during the forecast period.
The North America segment recorded 39% revenue share in the market in 2023. This dominance was driven by the rapid adoption of advanced analytics, AI, and big data technologies across various industries, including banking, retail, healthcare, and telecommunications. North American enterprises increasingly leverage these monetization strategies to enhance customer insights, optimize operations, and generate new revenue streams.
The major strategies followed by the market participants are Partnerships as the key developmental strategy to keep pace with the changing demands of end users. For instance, In February, 2025, Cisco Systems, Inc. teamed up with NVIDIA, a computer manufacturer corporation to accelerate AI adoption in enterprises. By integrating Cisco Silicon One with NVIDIA Spectrum-X, they aim to create a unified architecture for AI-ready data centers. This collaboration will simplify deployment, improve performance, and provide enterprises with flexibility in AI infrastructure investments. Moreover, In March, 2025, Salesforce, Inc. announced the partnership with 6sense, a Revenue Intelligence Platform by integrating its AI-powered account-based orchestration platform with Salesforce Pardot, enhancing marketing automation. This integration enables users to prioritize high-potential accounts, uncover buying signals, and engage buyers through personalized campaigns, aligning sales and marketing efforts for improved pipeline growth.
KBV Cardinal Matrix - Data Monetization Market Competition Analysis
Based on the Analysis presented in the KBV Cardinal matrix; Google LLC and Microsoft Corporation are the forerunners in the Data Monetization Market. In July, 2024, Microsoft Corporation announced the partnership with Criteo, an advertisement company to address fragmentation in retail media. This partnership will integrate Microsoft's demand with Criteo's global retailer network, enhancing the buying experience for advertisers. The integration offer new revenue opportunities and tap into AI-driven innovations for better ad performance. Companies such as Oracle Corporation, Cisco Systems, Inc., and Siemens AG are some of the key innovators in Data Monetization Market.
Market Growth Factors
Organizations increasingly leverage data to enhance decision-making processes, optimize operations, and gain a competitive edge. Enterprises are moving away from traditional intuition-based strategies to data-driven approaches, enabling them to make informed choices in marketing, customer engagement, supply chain management, and risk assessment. The ability to analyze vast amounts of structured and unstructured data provides businesses with actionable insights, improving productivity and efficiency across various departments. Thus, enterprises' growing demand for data-driven decision-making drives the market's growth.
Additionally, Cloud computing has revolutionized how enterprises store, manage, and process data, significantly impacting monetization. Traditional on-premise infrastructure is being replaced by cloud-based data platforms that offer scalability, cost-effectiveness, and enhanced security. Cloud solutions enable organizations to seamlessly collect and analyze data across multiple sources, making extracting value and sharing insights with partners and customers easier. Therefore, the increasing adoption of cloud-based data monetization solutions propels the market's growth.
Market Restraining Factors
However, The increasing adoption of data monetization has made enterprises vulnerable to various cybersecurity threats, with data breaches among the most significant risks. As companies collect, store, and sell vast amounts of consumer and business data, they become prime targets for cybercriminals. Threat actors exploit vulnerabilities in data storage systems, cloud platforms, and APIs to gain unauthorized access to sensitive information, leading to financial losses, reputational damage, and legal consequences. Thus, the high risk of data breaches and cybersecurity threats creates challenges for secure monetization.
Organization Size Outlook
On the basis of organization size, the market is classified into large enterprises and SMEs. The SMEs segment recorded 33% revenue share in the market in 2023. Small and medium-sized enterprises (SMEs) increasingly recognize the value of data monetization in gaining a competitive edge and driving business growth. With the rise of cloud-based solutions and affordable AI-powered analytics, SMEs can leverage customer data, sales insights, and operational data to enhance marketing strategies, optimize supply chains, and improve service offerings.
Method Outlook
Based on method, the market is characterized into data as a service, insight as a service, analytics-enabled platform as a service, and embedded analytics. The embedded analytics segment procured 32% revenue share in the market in 2023. Embedded analytics allows businesses to integrate advanced data analytics directly into their applications, software, and business processes, enabling real-time insights and data-driven decision-making. This method is increasingly being adopted across healthcare, manufacturing, and retail industries, where organizations seek to enhance user experiences and improve operational efficiency through seamless data integration.
Vertical Outlook
By vertical, the market is divided into BFSI, e-commerce & retail, telecommunications & IT, manufacturing, healthcare, energy & utilities, and others. The telecommunications & IT segment garnered 18% revenue share in the market in 2023. Telecom and IT companies generate massive volumes of data from customer interactions, network usage, and digital transactions. These organizations increasingly monetize data through targeted advertising, network optimization, and predictive analytics to enhance customer engagement and operational efficiency.
Component Outlook
Based on component, the market is segmented into consulting, implementation & integration, services, supporting & maintenance, research & development, and tools. The services segment held 18% revenue share in the market in 2023. This growth is driven by the rising adoption of these monetization strategies that require expert consultation, customized solutions, and training programs. Businesses increasingly seek specialized services to enhance data governance, optimize analytics capabilities, and develop effective monetization strategies.
Regional Outlook
Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The Asia Pacific segment witnessed 26% revenue share in the market in 2023. The region's growth is attributed to the rising digital transformation, increasing internet penetration, and the rapid expansion of e-commerce and fintech industries. Countries like China, India, and Japan are experiencing a surge in data-driven business models, with enterprises actively leveraging data analytics for targeted marketing, customer engagement, and operational efficiency.
Market Competition and Attributes
The Data Monetization Market remains highly competitive, driven by startups and niche firms offering innovative solutions. These companies focus on AI-driven analytics, industry-specific monetization strategies, and data security. Competition intensifies as businesses seek cost-effective, scalable models, fostering partnerships and technological advancements to unlock value from data across sectors like finance, healthcare, and retail.
Recent Strategies Deployed in the Market
Mar-2025: IBM Corporation teamed up with NVIDIA, a computer manufacturer corporation to enhance AI capabilities across hybrid cloud environments. The collaboration introduces content-aware storage, integrates NVIDIA's AI data platform, and expands IBM's watsonx offerings. These innovations support generative AI workloads, agentic AI applications, and compute-intensive tasks, aiming to accelerate AI adoption and business transformation.
Feb-2025: Cisco Systems, Inc. unveiled new AI infrastructure and data center solutions to help service providers manage increased data traffic and monetize AI services. The innovations include Cisco Silicon One systems, coherent pluggable optics, and network automation tools. These solutions enable flexible, sustainable networks with enhanced security and scalability, supporting AI-driven growth.
Jan-2025: Cisco Systems, Inc. unveiled AI Defense, an end-to-end solution designed to secure AI applications in enterprises. It protects against misuse, data leakage, and evolving threats that traditional security tools cannot handle. The solution provides visibility, model validation, and runtime security, ensuring enterprises can confidently develop, deploy, and use AI applications securely.
Jan-2025: Microsoft Corporation unveiled two new products for retailers: Curate for Commerce and Sponsored Promotions by Brands (SPB). Curate for Commerce allows retailers to monetize first-party data by displaying targeted ads from non-endemic partners, expanding their market reach. SPB offers a cost-per-sale advertising model across Microsoft's network, currently in closed beta.
Nov-2024: Accenture PLC teamed up with Microsoft, an IT company and Avanade, Management Consulting Form to accelerate AI transformation with a new Copilot business practice. They aim to help organizations integrate generative AI and Copilot technologies, enhancing business functions, improving efficiency, and boosting growth. The collaboration includes custom solutions, client training, and security capabilities to drive successful outcomes.
List of Key Companies Profiled
Accenture PLC
Cisco Systems, Inc.
Salesforce, Inc.
IBM Corporation
Infosys Limited
SAP SE
Oracle Corporation
Google LLC (Alphabet Inc.)
Microsoft Corporation
Siemens AG
Global Data Monetization Market Report Segmentation
By Organization Size
Large Enterprises
SMEs
By Method
Analytics-enabled Platform as a Service
Embedded Analytics
Insight as a Service
Data as a Service
By Vertical
BFSI
Telecommunications & IT
Manufacturing
E-commerce & Retail
Energy & Utilities
Healthcare
Other Vertical
By Component
Tools
Implementation & Integration
Services
Consulting
Supporting & Maintenance
Research & Development
By Geography
North America
US
Canada
Mexico
Rest of North America
Europe
Germany
UK
France
Russia
Spain
Italy
Rest of Europe
Asia Pacific
China
Japan
India
South Korea
Singapore
Malaysia
Rest of Asia Pacific
LAMEA
Brazil
Argentina
UAE
Saudi Arabia
South Africa
Nigeria
Rest of LAMEA
Table of Contents
Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Global Data Monetization Market, by Organization Size
1.4.2 Global Data Monetization Market, by Method
1.4.3 Global Data Monetization Market, by Vertical
1.4.4 Global Data Monetization Market, by Component
1.4.5 Global Data Monetization Market, by Geography
1.5 Methodology for the research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scenario
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
3.2.3 Market Opportunities
3.2.4 Market Challenges
Chapter 4. Competition Analysis - Global
4.1 KBV Cardinal Matrix
4.2 Recent Industry Wide Strategic Developments
4.2.1 Partnerships, Collaborations and Agreements
4.2.2 Product Launches and Product Expansions
4.2.3 Acquisition and Mergers
4.3 Market Share Analysis, 2023
4.4 Top Winning Strategies
4.4.1 Key Leading Strategies: Percentage Distribution (2020-2024)
4.4.2 Key Strategic Move: (Partnerships, Collaborations & Agreements: 2023, Mar - 2025, Mar) Leading Players
4.5 Porter Five Forces Analysis
Chapter 5. Global Data Monetization Market by Organization Size
5.1 Global Large Enterprises Market by Region
5.2 Global SMEs Market by Region
Chapter 6. Global Data Monetization Market by Method
6.1 Global Analytics-enabled Platform as a Service Market by Region
6.2 Global Embedded Analytics Market by Region
6.3 Global Insight as a Service Market by Region
6.4 Global Data as a Service Market by Region
Chapter 7. Global Data Monetization Market by Vertical
7.1 Global BFSI Market by Region
7.2 Global Telecommunications & IT Market by Region
7.3 Global Manufacturing Market by Region
7.4 Global E-commerce & Retail Market by Region
7.5 Global Energy & Utilities Market by Region
7.6 Global Healthcare Market by Region
7.7 Global Other Vertical Market by Region
Chapter 8. Global Data Monetization Market by Component
8.1 Global Tools Market by Region
8.2 Global Implementation & Integration Market by Region
8.3 Global Services Market by Region
8.4 Global Consulting Market by Region
8.5 Global Supporting & Maintenance Market by Region
8.6 Global Research & Development Market by Region
Chapter 9. Global Data Monetization Market by Region
9.1 North America Data Monetization Market
9.1.1 North America Data Monetization Market by Organization Size
9.1.1.1 North America Large Enterprises Market by Region
9.1.1.2 North America SMEs Market by Region
9.1.2 North America Data Monetization Market by Method
9.1.2.1 North America Analytics-enabled Platform as a Service Market by Country
9.1.2.2 North America Embedded Analytics Market by Country
9.1.2.3 North America Insight as a Service Market by Country
9.1.2.4 North America Data as a Service Market by Country
9.1.3 North America Data Monetization Market by Vertical
9.1.3.1 North America BFSI Market by Country
9.1.3.2 North America Telecommunications & IT Market by Country
9.1.3.3 North America Manufacturing Market by Country
9.1.3.4 North America E-commerce & Retail Market by Country
9.1.3.5 North America Energy & Utilities Market by Country
9.1.3.6 North America Healthcare Market by Country
9.1.3.7 North America Other Vertical Market by Country
9.1.4 North America Data Monetization Market by Component
9.1.4.1 North America Tools Market by Country
9.1.4.2 North America Implementation & Integration Market by Country
9.1.4.3 North America Services Market by Country
9.1.4.4 North America Consulting Market by Country
9.1.4.5 North America Supporting & Maintenance Market by Country
9.1.4.6 North America Research & Development Market by Country
9.1.5 North America Data Monetization Market by Country
9.1.5.1 US Data Monetization Market
9.1.5.1.1 US Data Monetization Market by Organization Size
9.1.5.1.2 US Data Monetization Market by Method
9.1.5.1.3 US Data Monetization Market by Vertical
9.1.5.1.4 US Data Monetization Market by Component
9.1.5.2 Canada Data Monetization Market
9.1.5.2.1 Canada Data Monetization Market by Organization Size
9.1.5.2.2 Canada Data Monetization Market by Method
9.1.5.2.3 Canada Data Monetization Market by Vertical
9.1.5.2.4 Canada Data Monetization Market by Component
9.1.5.3 Mexico Data Monetization Market
9.1.5.3.1 Mexico Data Monetization Market by Organization Size
9.1.5.3.2 Mexico Data Monetization Market by Method
9.1.5.3.3 Mexico Data Monetization Market by Vertical
9.1.5.3.4 Mexico Data Monetization Market by Component
9.1.5.4 Rest of North America Data Monetization Market
9.1.5.4.1 Rest of North America Data Monetization Market by Organization Size
9.1.5.4.2 Rest of North America Data Monetization Market by Method
9.1.5.4.3 Rest of North America Data Monetization Market by Vertical
9.1.5.4.4 Rest of North America Data Monetization Market by Component
9.2 Europe Data Monetization Market
9.2.1 Europe Data Monetization Market by Organization Size
9.2.1.1 Europe Large Enterprises Market by Country
9.2.1.2 Europe SMEs Market by Country
9.2.2 Europe Data Monetization Market by Method
9.2.2.1 Europe Analytics-enabled Platform as a Service Market by Country
9.2.2.2 Europe Embedded Analytics Market by Country
9.2.2.3 Europe Insight as a Service Market by Country
9.2.2.4 Europe Data as a Service Market by Country
9.2.3 Europe Data Monetization Market by Vertical
9.2.3.1 Europe BFSI Market by Country
9.2.3.2 Europe Telecommunications & IT Market by Country
9.2.3.3 Europe Manufacturing Market by Country
9.2.3.4 Europe E-commerce & Retail Market by Country
9.2.3.5 Europe Energy & Utilities Market by Country
9.2.3.6 Europe Healthcare Market by Country
9.2.3.7 Europe Other Vertical Market by Country
9.2.4 Europe Data Monetization Market by Component
9.2.4.1 Europe Tools Market by Country
9.2.4.2 Europe Implementation & Integration Market by Country
9.2.4.3 Europe Services Market by Country
9.2.4.4 Europe Consulting Market by Country
9.2.4.5 Europe Supporting & Maintenance Market by Country
9.2.4.6 Europe Research & Development Market by Country
9.2.5 Europe Data Monetization Market by Country
9.2.5.1 Germany Data Monetization Market
9.2.5.1.1 Germany Data Monetization Market by Organization Size
9.2.5.1.2 Germany Data Monetization Market by Method
9.2.5.1.3 Germany Data Monetization Market by Vertical
9.2.5.1.4 Germany Data Monetization Market by Component
9.2.5.2 UK Data Monetization Market
9.2.5.2.1 UK Data Monetization Market by Organization Size
9.2.5.2.2 UK Data Monetization Market by Method
9.2.5.2.3 UK Data Monetization Market by Vertical
9.2.5.2.4 UK Data Monetization Market by Component
9.2.5.3 France Data Monetization Market
9.2.5.3.1 France Data Monetization Market by Organization Size
9.2.5.3.2 France Data Monetization Market by Method
9.2.5.3.3 France Data Monetization Market by Vertical
9.2.5.3.4 France Data Monetization Market by Component
9.2.5.4 Russia Data Monetization Market
9.2.5.4.1 Russia Data Monetization Market by Organization Size
9.2.5.4.2 Russia Data Monetization Market by Method
9.2.5.4.3 Russia Data Monetization Market by Vertical
9.2.5.4.4 Russia Data Monetization Market by Component
9.2.5.5 Spain Data Monetization Market
9.2.5.5.1 Spain Data Monetization Market by Organization Size
9.2.5.5.2 Spain Data Monetization Market by Method
9.2.5.5.3 Spain Data Monetization Market by Vertical
9.2.5.5.4 Spain Data Monetization Market by Component
9.2.5.6 Italy Data Monetization Market
9.2.5.6.1 Italy Data Monetization Market by Organization Size
9.2.5.6.2 Italy Data Monetization Market by Method
9.2.5.6.3 Italy Data Monetization Market by Vertical
9.2.5.6.4 Italy Data Monetization Market by Component
9.2.5.7 Rest of Europe Data Monetization Market
9.2.5.7.1 Rest of Europe Data Monetization Market by Organization Size
9.2.5.7.2 Rest of Europe Data Monetization Market by Method
9.2.5.7.3 Rest of Europe Data Monetization Market by Vertical
9.2.5.7.4 Rest of Europe Data Monetization Market by Component
9.3 Asia Pacific Data Monetization Market
9.3.1 Asia Pacific Data Monetization Market by Organization Size
9.3.1.1 Asia Pacific Large Enterprises Market by Country
9.3.1.2 Asia Pacific SMEs Market by Country
9.3.2 Asia Pacific Data Monetization Market by Method
9.3.2.1 Asia Pacific Analytics-enabled Platform as a Service Market by Country
9.3.2.2 Asia Pacific Embedded Analytics Market by Country
9.3.2.3 Asia Pacific Insight as a Service Market by Country
9.3.2.4 Asia Pacific Data as a Service Market by Country
9.3.3 Asia Pacific Data Monetization Market by Vertical
9.3.3.1 Asia Pacific BFSI Market by Country
9.3.3.2 Asia Pacific Telecommunications & IT Market by Country
9.3.3.3 Asia Pacific Manufacturing Market by Country
9.3.3.4 Asia Pacific E-commerce & Retail Market by Country
9.3.3.5 Asia Pacific Energy & Utilities Market by Country
9.3.3.6 Asia Pacific Healthcare Market by Country
9.3.3.7 Asia Pacific Other Vertical Market by Country
9.3.4 Asia Pacific Data Monetization Market by Component
9.3.4.1 Asia Pacific Tools Market by Country
9.3.4.2 Asia Pacific Implementation & Integration Market by Country
9.3.4.3 Asia Pacific Services Market by Country
9.3.4.4 Asia Pacific Consulting Market by Country
9.3.4.5 Asia Pacific Supporting & Maintenance Market by Country
9.3.4.6 Asia Pacific Research & Development Market by Country
9.3.5 Asia Pacific Data Monetization Market by Country
9.3.5.1 China Data Monetization Market
9.3.5.1.1 China Data Monetization Market by Organization Size
9.3.5.1.2 China Data Monetization Market by Method
9.3.5.1.3 China Data Monetization Market by Vertical
9.3.5.1.4 China Data Monetization Market by Component
9.3.5.2 Japan Data Monetization Market
9.3.5.2.1 Japan Data Monetization Market by Organization Size
9.3.5.2.2 Japan Data Monetization Market by Method
9.3.5.2.3 Japan Data Monetization Market by Vertical
9.3.5.2.4 Japan Data Monetization Market by Component
9.3.5.3 India Data Monetization Market
9.3.5.3.1 India Data Monetization Market by Organization Size
9.3.5.3.2 India Data Monetization Market by Method
9.3.5.3.3 India Data Monetization Market by Vertical
9.3.5.3.4 India Data Monetization Market by Component
9.3.5.4 South Korea Data Monetization Market
9.3.5.4.1 South Korea Data Monetization Market by Organization Size
9.3.5.4.2 South Korea Data Monetization Market by Method
9.3.5.4.3 South Korea Data Monetization Market by Vertical
9.3.5.4.4 South Korea Data Monetization Market by Component
9.3.5.5 Singapore Data Monetization Market
9.3.5.5.1 Singapore Data Monetization Market by Organization Size
9.3.5.5.2 Singapore Data Monetization Market by Method
9.3.5.5.3 Singapore Data Monetization Market by Vertical
9.3.5.5.4 Singapore Data Monetization Market by Component
9.3.5.6 Malaysia Data Monetization Market
9.3.5.6.1 Malaysia Data Monetization Market by Organization Size
9.3.5.6.2 Malaysia Data Monetization Market by Method
9.3.5.6.3 Malaysia Data Monetization Market by Vertical
9.3.5.6.4 Malaysia Data Monetization Market by Component
9.3.5.7 Rest of Asia Pacific Data Monetization Market
9.3.5.7.1 Rest of Asia Pacific Data Monetization Market by Organization Size
9.3.5.7.2 Rest of Asia Pacific Data Monetization Market by Method
9.3.5.7.3 Rest of Asia Pacific Data Monetization Market by Vertical
9.3.5.7.4 Rest of Asia Pacific Data Monetization Market by Component
9.4 LAMEA Data Monetization Market
9.4.1 LAMEA Data Monetization Market by Organization Size
9.4.1.1 LAMEA Large Enterprises Market by Country
9.4.1.2 LAMEA SMEs Market by Country
9.4.2 LAMEA Data Monetization Market by Method
9.4.2.1 LAMEA Analytics-enabled Platform as a Service Market by Country
9.4.2.2 LAMEA Embedded Analytics Market by Country
9.4.2.3 LAMEA Insight as a Service Market by Country
9.4.2.4 LAMEA Data as a Service Market by Country
9.4.3 LAMEA Data Monetization Market by Vertical
9.4.3.1 LAMEA BFSI Market by Country
9.4.3.2 LAMEA Telecommunications & IT Market by Country
9.4.3.3 LAMEA Manufacturing Market by Country
9.4.3.4 LAMEA E-commerce & Retail Market by Country
9.4.3.5 LAMEA Energy & Utilities Market by Country
9.4.3.6 LAMEA Healthcare Market by Country
9.4.3.7 LAMEA Other Vertical Market by Country
9.4.4 LAMEA Data Monetization Market by Component
9.4.4.1 LAMEA Tools Market by Country
9.4.4.2 LAMEA Implementation & Integration Market by Country
9.4.4.3 LAMEA Services Market by Country
9.4.4.4 LAMEA Consulting Market by Country
9.4.4.5 LAMEA Supporting & Maintenance Market by Country
9.4.4.6 LAMEA Research & Development Market by Country
9.4.5 LAMEA Data Monetization Market by Country
9.4.5.1 Brazil Data Monetization Market
9.4.5.1.1 Brazil Data Monetization Market by Organization Size
9.4.5.1.2 Brazil Data Monetization Market by Method
9.4.5.1.3 Brazil Data Monetization Market by Vertical
9.4.5.1.4 Brazil Data Monetization Market by Component
9.4.5.2 Argentina Data Monetization Market
9.4.5.2.1 Argentina Data Monetization Market by Organization Size
9.4.5.2.2 Argentina Data Monetization Market by Method
9.4.5.2.3 Argentina Data Monetization Market by Vertical
9.4.5.2.4 Argentina Data Monetization Market by Component
9.4.5.3 UAE Data Monetization Market
9.4.5.3.1 UAE Data Monetization Market by Organization Size
9.4.5.3.2 UAE Data Monetization Market by Method
9.4.5.3.3 UAE Data Monetization Market by Vertical
9.4.5.3.4 UAE Data Monetization Market by Component
9.4.5.4 Saudi Arabia Data Monetization Market
9.4.5.4.1 Saudi Arabia Data Monetization Market by Organization Size
9.4.5.4.2 Saudi Arabia Data Monetization Market by Method
9.4.5.4.3 Saudi Arabia Data Monetization Market by Vertical
9.4.5.4.4 Saudi Arabia Data Monetization Market by Component
9.4.5.5 South Africa Data Monetization Market
9.4.5.5.1 South Africa Data Monetization Market by Organization Size
9.4.5.5.2 South Africa Data Monetization Market by Method
9.4.5.5.3 South Africa Data Monetization Market by Vertical
9.4.5.5.4 South Africa Data Monetization Market by Component
9.4.5.6 Nigeria Data Monetization Market
9.4.5.6.1 Nigeria Data Monetization Market by Organization Size
9.4.5.6.2 Nigeria Data Monetization Market by Method
9.4.5.6.3 Nigeria Data Monetization Market by Vertical
9.4.5.6.4 Nigeria Data Monetization Market by Component
9.4.5.7 Rest of LAMEA Data Monetization Market
9.4.5.7.1 Rest of LAMEA Data Monetization Market by Organization Size
9.4.5.7.2 Rest of LAMEA Data Monetization Market by Method
9.4.5.7.3 Rest of LAMEA Data Monetization Market by Vertical
9.4.5.7.4 Rest of LAMEA Data Monetization Market by Component
Chapter 10. Company Profiles
10.1 Accenture PLC
10.1.1 Company Overview
10.1.2 Financial Analysis
10.1.3 Segmental Analysis
10.1.4 Recent strategies and developments:
10.1.4.1 Partnerships, Collaborations, and Agreements:
10.1.5 SWOT Analysis
10.2 Cisco Systems, Inc.
10.2.1 Company Overview
10.2.2 Financial Analysis
10.2.3 Regional Analysis
10.2.4 Research & Development Expense
10.2.5 Recent strategies and developments:
10.2.5.1 Partnerships, Collaborations, and Agreements:
10.2.5.2 Product Launches and Product Expansions:
10.2.5.3 Acquisition and Mergers:
10.2.6 SWOT Analysis
10.3 Salesforce, Inc.
10.3.1 Company Overview
10.3.2 Financial Analysis
10.3.3 Regional Analysis
10.3.4 Research & Development Expenses
10.3.5 Recent strategies and developments:
10.3.5.1 Partnerships, Collaborations, and Agreements:
10.3.5.2 Product Launches and Product Expansions:
10.3.6 SWOT Analysis
10.4 IBM Corporation
10.4.1 Company Overview
10.4.2 Financial Analysis
10.4.3 Regional & Segmental Analysis
10.4.4 Research & Development Expenses
10.4.5 Recent strategies and developments:
10.4.5.1 Partnerships, Collaborations, and Agreements:
10.4.6 SWOT Analysis
10.5 Infosys Limited
10.5.1 Company Overview
10.5.2 Financial Analysis
10.5.3 Segmental and Regional Analysis
10.5.4 Research & Development Expense
10.5.5 SWOT Analysis
10.6 SAP SE
10.6.1 Company Overview
10.6.2 Financial Analysis
10.6.3 Regional Analysis
10.6.4 Research & Development Expense
10.6.5 SWOT Analysis
10.7 Oracle Corporation
10.7.1 Company Overview
10.7.2 Financial Analysis
10.7.3 Segmental and Regional Analysis
10.7.4 Research & Development Expense
10.7.5 Recent strategies and developments:
10.7.5.1 Acquisition and Mergers:
10.7.6 SWOT Analysis
10.8 Google LLC (Alphabet Inc.)
10.8.1 Company Overview
10.8.2 Financial Analysis
10.8.3 Segmental and Regional Analysis
10.8.4 Research & Development Expenses
10.8.5 SWOT Analysis
10.9 Microsoft Corporation
10.9.1 Company Overview
10.9.2 Financial Analysis
10.9.3 Segmental and Regional Analysis
10.9.4 Research & Development Expenses
10.9.5 Recent strategies and developments:
10.9.5.1 Partnerships, Collaborations, and Agreements:
10.9.5.2 Product Launches and Product Expansions:
10.9.6 SWOT Analysis
10.10. Siemens AG
10.10.1 Company Overview
10.10.2 Financial Analysis
10.10.3 Segmental and Regional Analysis
10.10.4 Research & Development Expense
10.10.5 SWOT Analysis
Chapter 11. Winning Imperatives of Data Monetization Market