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レポート概要
| 360iResearch社の当調査レポートでは、世界のデータマネタイゼーション市場規模が2021年に2,613.12百万ドル、2022年に3,260.67百万ドルとなり、その後2027年までにCAGR 24.95％で成長して9,948.19百万ドルに達すると予測しています。当書は、データマネタイゼーションの世界市場を対象とした調査・分析結果をまとめたものであり、序論、調査方法、エグゼクティブサマリー、市場概要、市場インサイト、コンポーネント別分析（サービス、ツール）、データタイプ別分析（顧客データ、財務データ、製品データ、サプライヤーデータ）、ビジネス機能別分析（財務、運営、販売＆マーケティング、サプライチェーン管理）、産業別分析（金融、消費財＆小売、エネルギー＆ユーティリティ、医療、IT）、地域別分析（南北アメリカ、アメリカ、カナダ、ブラジル、アジア太平洋、日本、中国、インド、韓国、台湾、ヨーロッパ/中東/アフリカ、イギリス、ドイツ、フランス、ロシア、その他）、競争状況、企業情報などの内容を掲載しています。また、当書には、1010Data、Accenture PLC、Adastra、Comviva、Domo, Inc.、Elevondata、Emu Analytics Ltd、Enea Openwave、Infor、Information Builders、Infosys Limited、International Business Machines Corporation、Looker Data Sciences, Inc.、Microsoft Corporationなどの企業情報が含まれています。 ・序論 ・調査方法 ・エグゼクティブサマリー ・市場概要 ・市場インサイト ・世界のデータマネタイゼーション市場規模：コンポーネント別 - サービスの市場規模 - ツールの市場規模 ・世界のデータマネタイゼーション市場規模：データタイプ別 - 顧客データの市場規模 - 財務データの市場規模 - 製品データの市場規模 - サプライヤーデータの市場規模 ・世界のデータマネタイゼーション市場規模：ビジネス機能別 - 財務における市場規模 - 運営における市場規模 - 販売＆マーケティングにおける市場規模 - サプライチェーン管理における市場規模 ・世界のデータマネタイゼーション市場規模：産業別 - 金融における市場規模 - 消費財＆小売における市場規模 - エネルギー＆ユーティリティにおける市場規模 - 医療における市場規模 - ITにおける市場規模 ・世界のデータマネタイゼーション市場規模：地域別 - 南北アメリカのデータマネタイゼーション市場規模 アメリカのデータマネタイゼーション市場規模 カナダのデータマネタイゼーション市場規模 ブラジルのデータマネタイゼーション市場規模 ... - アジア太平洋のデータマネタイゼーション市場規模 日本のデータマネタイゼーション市場規模 中国のデータマネタイゼーション市場規模 インドのデータマネタイゼーション市場規模 韓国のデータマネタイゼーション市場規模 台湾のデータマネタイゼーション市場規模 ... - ヨーロッパ/中東/アフリカのデータマネタイゼーション市場規模 イギリスのデータマネタイゼーション市場規模 ドイツのデータマネタイゼーション市場規模 フランスのデータマネタイゼーション市場規模 ロシアのデータマネタイゼーション市場規模 ... - その他地域のデータマネタイゼーション市場規模 ・競争状況 ・企業情報 |
The Global Data Monetization Market size was estimated at USD 2,613.12 million in 2021 and expected to reach USD 3,260.67 million in 2022, and is projected to grow at a CAGR 24.95% to reach USD 9,948.19 million by 2027.
Market Statistics:
The report provides market sizing and forecast across 7 major currencies – USD, EUR, JPY, GBP, AUD, CAD, and CHF. It helps organization leaders make better decisions when currency exchange data is readily available. In this report, the years 2018 and 2020 are considered as historical years, 2021 as the base year, 2022 as the estimated year, and years from 2023 to 2027 are considered as the forecast period.
Market Segmentation & Coverage:
This research report categorizes the Data Monetization to forecast the revenues and analyze the trends in each of the following sub-markets:
Based on Component, the market was studied across Services and Tools. The Services is further studied across Consulting, Implementation and Integration, and Support and Maintenance.
Based on Data Type, the market was studied across Customer Data, Financial Data, Product Data, and Supplier Data.
Based on Organization Size, the market was studied across Large Enterprises and Small and Medium-Sized Enterprises.
Based on Business Function, the market was studied across Finance, Operations, Sales and Marketing, and Supply Chain Management.
Based on Deployment Type, the market was studied across Cloud and On-Premises.
Based on Industry Vertical, the market was studied across Banking, Financial Services, and Insurance, Consumer Goods and Retail, Energy and Utilities, Healthcare, Information Technology, Manufacturing, Media and Entertainment, Telecommunication, and Transportation and Logistics.
Based on Region, the market was studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.
Cumulative Impact of COVID-19:
COVID-19 is an incomparable global public health emergency that has affected almost every industry, and the long-term effects are projected to impact the industry growth during the forecast period. Our ongoing research amplifies our research framework to ensure the inclusion of underlying COVID-19 issues and potential paths forward. The report delivers insights on COVID-19 considering the changes in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments. The updated study provides insights, analysis, estimations, and forecasts, considering the COVID-19 impact on the market.
Cumulative Impact of 2022 Russia Ukraine Conflict:
We continuously monitor and update reports on political and economic uncertainty due to the Russian invasion of Ukraine. Negative impacts are significantly foreseen globally, especially across Eastern Europe, European Union, Eastern & Central Asia, and the United States. This contention has severely affected lives and livelihoods and represents far-reaching disruptions in trade dynamics. The potential effects of ongoing war and uncertainty in Eastern Europe are expected to have an adverse impact on the world economy, with especially long-term harsh effects on Russia.This report uncovers the impact of demand & supply, pricing variants, strategic uptake of vendors, and recommendations for Data Monetization market considering the current update on the conflict and its global response.
Competitive Strategic Window:
The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies to help the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. It describes the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth during a forecast period.
FPNV Positioning Matrix:
The FPNV Positioning Matrix evaluates and categorizes the vendors in the Data Monetization Market based on Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.
Market Share Analysis:
The Market Share Analysis offers the analysis of vendors considering their contribution to the overall market. It provides the idea of its revenue generation into the overall market compared to other vendors in the space. It provides insights into how vendors are performing in terms of revenue generation and customer base compared to others. Knowing market share offers an idea of the size and competitiveness of the vendors for the base year. It reveals the market characteristics in terms of accumulation, fragmentation, dominance, and amalgamation traits.
Competitive Scenario:
The Competitive Scenario provides an outlook analysis of the various business growth strategies adopted by the vendors. The news covered in this section deliver valuable thoughts at the different stage while keeping up-to-date with the business and engage stakeholders in the economic debate. The competitive scenario represents press releases or news of the companies categorized into Merger & Acquisition, Agreement, Collaboration, & Partnership, New Product Launch & Enhancement, Investment & Funding, and Award, Recognition, & Expansion. All the news collected help vendor to understand the gaps in the marketplace and competitor’s strength and weakness thereby, providing insights to enhance product and service.
Company Usability Profiles:
The report profoundly explores the recent significant developments by the leading vendors and innovation profiles in the Global Data Monetization Market, including 1010Data, Accenture PLC, Adastra, Comviva, Domo, Inc., Elevondata, Emu Analytics Ltd, Enea Openwave, Infor, Information Builders, Infosys Limited, International Business Machines Corporation, Looker Data Sciences, Inc., Microsoft Corporation, Narrative I/O, Inc., Ness Digital Engineering, NETSCOUT Systems, Inc., Optiva, Inc., Oracle, Paxata, Inc., Reltio, Salesforce, Inc., SAP, SAS, Sisense Inc., ThoughtSpot, Inc., TIBCO Software Inc., and Virtusa Corporation.
The report provides insights on the following pointers:
1. Market Penetration: Provides comprehensive information on the market offered by the key players
2. Market Development: Provides in-depth information about lucrative emerging markets and analyze penetration across mature segments of the markets
3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments
4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players
5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and breakthrough product developments
The report answers questions such as:
1. What is the market size and forecast of the Global Data Monetization Market?
2. What are the inhibiting factors and impact of COVID-19 shaping the Global Data Monetization Market during the forecast period?
3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Data Monetization Market?
4. What is the competitive strategic window for opportunities in the Global Data Monetization Market?
5. What are the technology trends and regulatory frameworks in the Global Data Monetization Market?
6. What is the market share of the leading vendors in the Global Data Monetization Market?
7. What modes and strategic moves are considered suitable for entering the Global Data Monetization Market?
1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Limitations
1.7. Assumptions
1.8. Stakeholders
2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update
3. Executive Summary
4. Market Overview
5. Market Insights
5.1. Market Dynamics
5.1.1. Drivers
5.1.1.1. Increase in data volume and lower cost of data storage
5.1.1.2. Increasing focus on data-driven decision-making
5.1.1.3. Rising growth in advanced analytics and visualization
5.1.2. Restraints
5.1.2.1. Security and privacy concerns related to data monetization solutions
5.1.2.2. Diverse regulatory structure
5.1.3. Opportunities
5.1.3.1. Increasing integration of AI in data processing
5.1.3.2. Rising business and their data volume
5.1.4. Challenges
5.1.4.1. Increase complexity in data structure
5.2. Cumulative Impact of COVID-19
6. Data Monetization Market, by Component
6.1. Introduction
6.2. Services
6.3.1. Consulting
6.3.2. Implementation and Integration
6.3.3. Support and Maintenance
6.3. Tools
7. Data Monetization Market, by Data Type
7.1. Introduction
7.2. Customer Data
7.3. Financial Data
7.4. Product Data
7.5. Supplier Data
8. Data Monetization Market, by Organization Size
8.1. Introduction
8.2. Large Enterprises
8.3. Small and Medium-Sized Enterprises
9. Data Monetization Market, by Business Function
9.1. Introduction
9.2. Finance
9.3. Operations
9.4. Sales and Marketing
9.5. Supply Chain Management
10. Data Monetization Market, by Deployment Type
10.1. Introduction
10.2. Cloud
10.3. On-Premises
11. Data Monetization Market, by Industry Vertical
11.1. Introduction
11.2. Banking, Financial Services, and Insurance
11.3. Consumer Goods and Retail
11.4. Energy and Utilities
11.5. Healthcare
11.6. Information Technology
11.7. Manufacturing
11.8. Media and Entertainment
11.9. Telecommunication
11.10. Transportation and Logistics
12. Americas Data Monetization Market
12.1. Introduction
12.2. Argentina
12.3. Brazil
12.4. Canada
12.5. Mexico
12.6. United States
13. Asia-Pacific Data Monetization Market
13.1. Introduction
13.2. Australia
13.3. China
13.4. India
13.5. Indonesia
13.6. Japan
13.7. Malaysia
13.8. Philippines
13.9. Singapore
13.10. South Korea
13.11. Taiwan
13.12. Thailand
13.13. Vietnam
14. Europe, Middle East & Africa Data Monetization Market
14.1. Introduction
14.2. Denmark
14.3. Egypt
14.4. Finland
14.5. France
14.6. Germany
14.7. Israel
14.8. Italy
14.9. Netherlands
14.10. Nigeria
14.11. Norway
14.12. Poland
14.13. Qatar
14.14. Russia
14.15. Saudi Arabia
14.16. South Africa
14.17. Spain
14.18. Sweden
14.19. Switzerland
14.20. Turkey
14.21. United Arab Emirates
14.22. United Kingdom
15. Competitive Landscape
15.1. FPNV Positioning Matrix
15.1.1. Quadrants
15.1.2. Business Strategy
15.1.3. Product Satisfaction
15.2. Market Ranking Analysis, By Key Player
15.3. Market Share Analysis, By Key Player
15.4. Competitive Scenario
15.4.1. Merger & Acquisition
15.4.2. Agreement, Collaboration, & Partnership
15.4.3. New Product Launch & Enhancement
15.4.4. Investment & Funding
15.4.5. Award, Recognition, & Expansion
16. Company Usability Profiles
16.1. 1010Data
16.1.1. Business Overview
16.1.2. Key Executives
16.1.3. Product & Services
16.2. Accenture PLC
16.2.1. Business Overview
16.2.2. Key Executives
16.2.3. Product & Services
16.3. Adastra
16.3.1. Business Overview
16.3.2. Key Executives
16.3.3. Product & Services
16.4. Comviva
16.4.1. Business Overview
16.4.2. Key Executives
16.4.3. Product & Services
16.5. Domo, Inc.
16.5.1. Business Overview
16.5.2. Key Executives
16.5.3. Product & Services
16.6. Elevondata
16.6.1. Business Overview
16.6.2. Key Executives
16.6.3. Product & Services
16.7. Emu Analytics Ltd
16.7.1. Business Overview
16.7.2. Key Executives
16.7.3. Product & Services
16.8. Enea Openwave
16.8.1. Business Overview
16.8.2. Key Executives
16.8.3. Product & Services
16.9. Infor
16.9.1. Business Overview
16.9.2. Key Executives
16.9.3. Product & Services
16.10. Information Builders
16.10.1. Business Overview
16.10.2. Key Executives
16.10.3. Product & Services
16.11. Infosys Limited
16.11.1. Business Overview
16.11.2. Key Executives
16.11.3. Product & Services
16.12. International Business Machines Corporation
16.12.1. Business Overview
16.12.2. Key Executives
16.12.3. Product & Services
16.13. Looker Data Sciences, Inc.
16.13.1. Business Overview
16.13.2. Key Executives
16.13.3. Product & Services
16.14. Microsoft Corporation
16.14.1. Business Overview
16.14.2. Key Executives
16.14.3. Product & Services
16.15. Narrative I/O, Inc.
16.15.1. Business Overview
16.15.2. Key Executives
16.15.3. Product & Services
16.16. Ness Digital Engineering
16.16.1. Business Overview
16.16.2. Key Executives
16.16.3. Product & Services
16.17. NETSCOUT Systems, Inc.
16.17.1. Business Overview
16.17.2. Key Executives
16.17.3. Product & Services
16.18. Optiva, Inc.
16.18.1. Business Overview
16.18.2. Key Executives
16.18.3. Product & Services
16.19. Oracle
16.19.1. Business Overview
16.19.2. Key Executives
16.19.3. Product & Services
16.20. Paxata, Inc.
16.20.1. Business Overview
16.20.2. Key Executives
16.20.3. Product & Services
16.21. Reltio
16.21.1. Business Overview
16.21.2. Key Executives
16.21.3. Product & Services
16.22. Salesforce, Inc.
16.22.1. Business Overview
16.22.2. Key Executives
16.22.3. Product & Services
16.23. SAP
16.23.1. Business Overview
16.23.2. Key Executives
16.23.3. Product & Services
16.24. SAS
16.24.1. Business Overview
16.24.2. Key Executives
16.24.3. Product & Services
16.25. Sisense Inc.
16.25.1. Business Overview
16.25.2. Key Executives
16.25.3. Product & Services
16.26. ThoughtSpot, Inc.
16.26.1. Business Overview
16.26.2. Key Executives
16.26.3. Product & Services
16.27. TIBCO Software Inc.
16.27.1. Business Overview
16.27.2. Key Executives
16.27.3. Product & Services
16.28. Virtusa Corporation
16.28.1. Business Overview
16.28.2. Key Executives
16.28.3. Product & Services
17. Appendix
17.1. Discussion Guide
17.2. License & Pricing