Data Monetization Platform Market Outlook (2022 to 2032)

The global data monetization platform market was assessed at US$ 2005 Million in 2021, with a historical CAGR of 20%. The market is estimated to increase from US$ 2410 Million in 2022 to US$ 17,317 Million by 2032, representing a CAGR of 21.8% over the forecast period as the goal of the data monetization platform is to maximize revenue from accessible data sources.

Access control is challenging to achieve because the data produced by data monetization platforms are stored in varied forms across several locations. Cloud, software-as-a-service (SaaS), and internet of things (IoT) developments are producing massive amounts of data. As a result, managing and integrating data from several sources is critical for real-time data availability. Data monetization platform is a blanket term that refers to the extra revenue that an organization makes from the data it has about its clients.

Factors influencing the market growth are as follows:

  • Increasing data quantities as well as improved data collection capabilities.
  • The adoption of these solutions by different stakeholders in the banking, financial services, and insurance industries, as well as telecom providers, is increasing.
  • One of the most important developments driving consumption is the rapid rise of big data and big data analytics.
  • Increase in business data volume, technical improvements in big data & analytics solutions, and the relevance of producing new sources of revenue from data quantities
  • Data monetization platforms offer two important benefits: improved decision-making and a myriad of methods to commercialize relevant data to discover new revenue streams.
  • Clients have benefited greatly from this data monetization strategy, which also allows application developers to construct and enhance relevant analytics solutions and combine them with certain other applications.
  • The digitalization revolution has opened the door for data monetization platforms in the healthcare industry, which is assisting in the enhancement of clinical services as well as the realization of financial advantages.
  • Several businesses are interested in data monetization platform because it optimizes data utilization, builds customer loyalty, lowers operational expenses, improves compliance, stimulates earnings, develops alliances, and improves customer satisfaction and comprehension.

Despite the large expansion that is expected for the data monetization platform market, a few issues may limit market progress throughout the projected period. The following factors are now impeding the market:

  • The structure of regulatory standards varies, as do privacy and security issues.
  • Lack of organizational competencies along with cultural limitations.
  • Linkage of data products with the present system and cross-industry data transfer may result in inferior quality data.
  • Inadequate duties and responsibilities of the team members, cumbersome organizational practices, and a lack of managerial attention and assistance.

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Businesses are Transitioning from Conventional to Unconventional Procedures which Act as both Data Monetization Platform Market Trends and Opportunities

Increased implementation amongst telecommunications service providers, as well as heightened recognition of the potential advantages of data monetization, will open up new opportunities over the forecast period. It is costly to keep and archive a large volume of data on physical storage devices or hardware. In this case, cloud-based solutions provide enormous computational and storage capabilities. This has generated an opportunity for the monetization of cloud-based data. Furthermore, cloud technology encourages businesses to exchange real-time data.

Organizations are focused on delivering particular services to enhance the customer experience, and achieving operational effectiveness at a cheaper cost and in less duration is expected to drive the requirement for analytics solutions in the data monetization platform industry. Furthermore, the data monetization platform trend is being pushed by changing customers' requirements, increasing margin pressure and competition, and the transition to real-time payment infrastructures, which is expected to open up new market possibilities.

Furthermore, the number of data and real-world evidence in the healthcare industry has grown dramatically. Using this data will allow us to envision and build new techniques and tactics for clinical development, accelerate innovation, and enhance clinical results. Using a strong big data analytics and monetization platform will allow healthcare organizations to capitalize on data.

Attributes Details
Data Monetization Platform Market Value (2022) US$ 2410 Million
Data Monetization Platform Market Expected Value (2032) US$ 17,317 Million
Data Monetization Platform Market Projected CAGR (2022 to 2032) 21.8%
Data Monetization Platform Market Historical CAGR (2017 to 2021) 20%

Glimpses of the Historical Market Scenario and Current Growth Indicators

As sectors like telecom, healthcare, and finance undergo a seismic shift, the data monetization platform industry is seeing a gold rush. The global market for data monetization platforms increased from US$ 975 Million to US$ 2005 Million between 2017 and 2021 with a CAGR of 20%.

The rising volume of business data, technical improvements in big data and analytics solutions, and the necessity of creating new sources of revenue from data volumes have raised the demand for data monetization platforms. As firms are paying attention to uncovering the value in their otherwise unused data, a strategy for data monetization platforms becomes extremely relevant.

  • Short Term (2022 to 2025): The increasing use of these solutions by different companies in the financial services, healthcare industries, mobile carriers, and telecommunication sectors is also expected to contribute to the growth of the worldwide data monetization market.
  • Medium Term (2025 to 2028): One of the most significant aspects that are likely to boost demand for the data monetization platform during this timeframe is the rapid developments in big data as well as big data analytics.
  • Long Term (2028 to 2032): As cloud computing technology stimulates businesses to share real-time data, it is predicted to open the door for subscription-based data exchange platforms, leading to market expansion over this period.

During the forecast period, the global data monetization platform market is anticipated to grow from US$ 2410 Million in 2022 to US$ 17317 Million by 2032 with a CAGR of 21.8%.

Sudip Saha
Sudip Saha

Principal Consultant

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Category-wise Insights

Why did the Very Large Enterprises segment Generate the Majority of Market Revenue?

Based on enterprise size, the data monetization market is categorized into small offices, small enterprises, medium-sized enterprises, large enterprises, and very large enterprises.

The very large enterprises segment dominated the market in 2021 accounting for 26% of the global market. This segment is estimated to grow at a CAGR of 8.9% over the forecast period. This is caused by the increasing existence of very large businesses with global domination. These very large enterprises have clients all across the world and along the value chain. They have sufficient technological knowledge, business plans, and cash. In the industry, there is an increasing necessity for new technologies such as cloud computing and artificial intelligence (AI). To ensure company continuity, very large enterprises can easily invest in such modern technology and adopt data monetization platforms since they have a large capital.

However, the small office segment is anticipated to grow the fastest recording a CAGR of 22.7% over the forecast period. This segment possessed a 14% share of the global market in 2021. Increasing adoption of data monetization platforms by small offices to keep up with the competition is likely to drive segment growth over the forecast period. Moreover, small offices are projected to encounter resource constraints, leading to economic complications and an increasing need to optimize costs. Hence, the increasing influence of cloud-based data monetization platforms is likely to make a significant contribution in assuring lower operating costs and greater productivity, consequently favorably boosting segment growth.

How Does the Public Sector Segment Offer a Substantial Potential in the Market?

Depending on the industry, the data monetization market is classified into services, distribution services, public sector, finance, manufacturing and resources, and others.

The finance segment dominated the market in 2021 and detained 28.3% of the global market share. This segment is projected to expand at a CAGR of 14.1% over the forecast period. This is due to the increasing presence of data-rich enterprises in the banking industry. This has resulted in a huge need for data monetization in the banking sector. Additionally, data monetization systems in financial institutions increase client engagements and operating income by more than 50%. Such factors are expected to drive market expansion throughout the forecast period. Additionally, the trend of monetizing payments data is being driven by shifting customer requirements, the transition to real-time payment infrastructure, and rising measurable terms and profitability.

However, the public sector segment is estimated to grow fastest over the forecast period exhibiting a CAGR of 18.1%. This segment held a 14.2% share of the global market in 2021. The development of digitization has cleared the path for data monetization platforms in this industry. The public sector has a global reach and several sources of revenue. As a result, they produce enormous amounts of data. Furthermore, the volume of data and real-world evidence has increased dramatically across the public sector. Using this data will assist in envisioning and building new ideas and tactics for development, accelerate innovation, and enhance outcomes.

Country-wise Insight

Rising Adoption of Data Monetizing Platforms in the United State Errands Regional Growth in North America

North America dominated the market in 2021 holding a 32.9% share of the global market due to the increased penetration and use of data monetization services, software, and platforms, as well as the existence of a significant number of data providers in the region. The North American data monetization platform market is projected to grow at a CAGR of 15.1%

The United States is the largest income source in North America, with the greatest number of data monetization companies situated there. The United States data monetization platform market accounted for a 23.4% share in 2021 and is estimated to grow at a CAGR of 13.8% over the forecast period.

The rapid growth of the United States data monetization platform market can be ascribed to increased penetration and acceptance of data monetization platforms in the country. Businesses across the United States are spending in and rapidly implementing sophisticated technologies such as cloud computing, big data, and analytics. This provided the United States with the advantage of being the first to market. Furthermore, the increased desire among firms to automate decision-making processes, reduced infrastructural costs, and technological advancements have all had a substantial impact on the country's prosperity.

Germany is Sprouting into Analytics-driven Businesses Creating High Demand in Europe

Europe had the second-highest market share, accounting for 20.7% of the global market in 2021. During the projected period, the data monetization platforms market is expected to develop at a CAGR of 16.4%. The European data monetization platforms are largely driven by factors including growing cloud computing penetration, massive expenditures in data centers by significant regional firms, and increased use of AI for data processing.

Germany is the fastest-growing country in Europe when it comes to the adoption of data monetization platforms and recorded holding a 12.5% market share in 2021. During the forecast period, the market is expected to grow at a CAGR of 17.8%. The German data monetization platform market is largely driven by the necessity to transform into analytics-driven companies, which enhances the demand for data monetization platforms and services to boost organizational decision-making skills. As a result, increased acceptance of data-driven decision-making would enhance demand and necessity for data monetization, assisting the expansion of the market in Germany.

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Why is Asia Pacific Data Monetization Platform Market Growing at the Fastest Rate than other Major Regions?

Asia Pacific is predicted to grow significantly because of the growing adoption of digital solutions such as IoT, mobility, AI, cloud, and over-the-top services, as well as increased investments in technological improvements in the region. South Asia and East Asia held 14.3% and 18.6% of the global market respectively in 2021. South Asia and East Asia are likely to expand the quickest throughout the forecast period, with CAGRs of 22.5% and 20.4%, respectively. The two most significant countries in this region that contribute to this enormous income generation are China and Japan.

China:

Country China
Market Share (2021) 7.5%
CAGR (2022 to 2032) 19.2%
Growth Factors The Chinese data monetization platform market is growing the fastest in the Asia Pacific region. China generates the most income in the regional market. This is due to the existence of a high number of MSMEs and big enterprises, as well as the ongoing digitalization of business operations and the increase in the volume of data created each day. The expanding corporate competitiveness is also putting pressure on businesses to capitalize on the value of data, which is increasing the usage of data monetization solutions.

Japan:

Country Japan
Market Share (2021) 6.5%
CAGR (2022 to 2032) 21.9%
Growth Factors Japanese data monetization platform market holds a significant share of the global market. The commercialization of AI, big data, and IoT technologies, as well as the necessity for additional improvements to effectively use the latest technology, are projected to increase the country's adoption of data monetization platforms and services. Furthermore, advances in networking technology, the quick rise of e-commerce, increased manufacturing and the automotive industry, and increased administrative regulations have all aided market expansion.

Data Monetization Platform Market Initiatives: Recent Investments from Well-Known Brands in Start-ups

A data monetization platform is utilized in a variety of sectors to offer suppliers prospects for development. There is some rivalry in the sector. New entrants are focusing on developing unique techniques to improve the client experience. Diverse technologies are becoming more available as a result of strategic movements by market participants and new advances in data monetization platforms.

Top Start-ups to Keep an Eye on:

Start-up Company& Nami ML
Country& United States
Description Nami ML offers a subscription-based service for monetizing applications. The startup's software development kit (SDK) links into applications, permitting marketers to easily create and implement paywalls. The Naomi Control Center enables application developers to alter all elements of subscriptions and other in-app purchases. It also records income and consumer data in real-time to promote user conversion to paying subscribers.
Start-up Company Keylight
Country Germany
Description Keylight creates subscription commerce solutions for both B2B and B2C organizations. The startup's automated subscription platform designs and deploys flexible subscription solutions. It then allows organizations in many sectors to easily handle and sell memberships. It can be tailored to a brand's visual identity and interacts with subscription, sales, and resale channels.

Competitive Landscape

Competition heats up in the Data Monetization Market: Accenture Plc., IBM Corporation, and Infosys Limited, Inc. are Monopolizing the Market

Accenture is a multinational professional services firm that specializes in digital, cloud, and security. It provides strategy and consulting, technology, and operations services, all driven by the world's biggest network of advanced technology and intelligent operations centers, combining unrivaled knowledge and specialized capabilities across more than 40 sectors. Every day, its professionals deliver on the promise of technology and human inventiveness, serving clients. It believes in the potential of transformation to add value and achieve shared success for its clients, employees, shareholders, partners, and communities.

IBM combines technology and knowledge, offering customers infrastructure, software, and consulting services as they seek the digital transformation of the world's mission-critical industries. It brings together all of the essential technologies and services, regardless of source, to assist clients in solving the most critical business challenges.

Infosys Limited is a global Indian information technology corporation that specializes in business consulting, information technology, and outsourcing. Banking software products and services under the brand name Infosys Finacle are redefining the way banks function by offering comprehensive and integrated assistance. Infosys offers IT services to ensure data privacy and security. It also focuses on cloud computing.

Recent Developments

  • In November 2022, Google introduced new dimensions and metrics, allowing clients to examine bounce rate, extra UTM parameter values, and conversion rate across various surfaces such as explorations, segments, audiences, reports, and the Google Analytics Data API.
  • In August 2022, Cisco Systems Inc. teamed with Microsoft for Big and Fast Data Analytics, enabling its customers to increase business performance and establish new sources of revenue in analytics and customer base management.
  • In January 2022, Optiva, Inc. and Google Cloud formed a multi-year strategic alliance. The collaboration sought to help telecom operators and service providers to embrace digital transformation.
  • In September 2019, IBM Corporation revealed plans to invest in the monetization of automobile data. This is likely to open up new prospects while maintaining its position in cloud computing.

Some of the other key companies proliferating in the market are

  • Microsoft Corporation
  • Google
  • Oracle Corporation
  • Salesforce
  • SAS
  • TIBCO
  • Qlik
  • Looker
  • ThoughtSpot
  • Adstra
  • Cisco Systems, Inc.
  • Gemalto NV
  • Comviva
  • Monetize
  • Reltio
  • SAP SE

Key Segments in the Data Monetization Platform Market

By Component:

  • Platform
  • Services

By Deployment Mode:

  • On-premise
  • Cloud

By Enterprise Size:

  • Small Offices
  • Small Enterprises
  • Medium-sized Enterprises
  • Large Enterprises
  • Very Large Enterprises

By Industry:

  • Services
  • Distribution Services
  • Public Sector
  • Finance
  • Manufacturing and Resources
  • Others

By Region:

  • North America
  • Latin America
  • Europe
  • East Asia
  • South Asia
  • Middle East and Africa

Frequently Asked Questions

What is the size of the global Data Monetization Platform market in 2022?

The data monetization platform market accounted for a market value of US$ 2410 million in 2022.

What is the expected growth rate of the global Data Monetization Platform market?

The data monetization platform market is estimated to record a CAGR of 21.8% during the forecast period.

What is the Projected size of the global Data Monetization Platform market in 2032?

The data monetization platform market size is predicted to be valued at US$ 17,317 million by 2032.

What are the key regions in the global Data Monetization Platform market?

The key regions in the global data monetization platform market are the USA, Germany, India, China, and Japan.

Which is the Leading Region in the global Data Monetization Platform Market?

North America dominates the global data monetization platform Market.

Table of Content
1. Executive Summary | Data Monetization Platform Market
    1.1. Global Market Outlook
    1.2. Demand-side Trends
    1.3. Supply-side Trends
    1.4. Technology Roadmap Analysis
    1.5. Analysis and Recommendations
2. Market Overview
    2.1. Market Coverage / Taxonomy
    2.2. Market Definition / Scope / Limitations
3. Market Background
    3.1. Market Dynamics
        3.1.1. Drivers
        3.1.2. Restraints
        3.1.3. Opportunity
        3.1.4. Trends
    3.2. Scenario Forecast
        3.2.1. Demand in Optimistic Scenario
        3.2.2. Demand in Likely Scenario
        3.2.3. Demand in Conservative Scenario
    3.3. Opportunity Map Analysis
    3.4. Product Life Cycle Analysis
    3.5. Investment Feasibility Matrix
    3.6. PESTLE and Porter’s Analysis
    3.7. Regulatory Landscape
        3.7.1. By Key Regions
        3.7.2. By Key Countries
    3.8. Regional Parent Market Outlook
4. Global Market Analysis 2017 to 2021 and Forecast, 2022 to 2032
    4.1. Historical Market Size Value (US$ Million) Analysis, 2017 to 2021
    4.2. Current and Future Market Size Value (US$ Million) Projections, 2022 to 2032
        4.2.1. Y-o-Y Growth Trend Analysis
        4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Industry Vertical
    5.1. Introduction / Key Findings
    5.2. Historical Market Size Value (US$ Million) Analysis By Industry Vertical, 2017 to 2021
    5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Industry Vertical, 2022 to 2032
        5.3.1. Utility Industry
        5.3.2. Payments Industry
        5.3.3. Healthcare Industry
        5.3.4. Mobility Industry
        5.3.5. Retail Industry
    5.4. Y-o-Y Growth Trend Analysis By Industry Vertical, 2017 to 2021
    5.5. Absolute $ Opportunity Analysis By Industry Vertical, 2022 to 2032
6. Global Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Region
    6.1. Introduction
    6.2. Historical Market Size Value (US$ Million) Analysis By Region, 2017 to 2021
    6.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2022 to 2032
        6.3.1. North America
        6.3.2. Latin America
        6.3.3. Europe
        6.3.4. Asia Pacific
        6.3.5. Middle East and Africa
    6.4. Market Attractiveness Analysis By Region
7. North America Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country
    7.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2017 to 2021
    7.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2022 to 2032
        7.2.1. By Country
            7.2.1.1. USA
            7.2.1.2. Canada
        7.2.2. By Industry Vertical
    7.3. Market Attractiveness Analysis
        7.3.1. By Country
        7.3.2. By Industry Vertical
    7.4. Key Takeaways
8. Latin America Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country
    8.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2017 to 2021
    8.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2022 to 2032
        8.2.1. By Country
            8.2.1.1. Brazil
            8.2.1.2. Mexico
            8.2.1.3. Rest of Latin America
        8.2.2. By Industry Vertical
    8.3. Market Attractiveness Analysis
        8.3.1. By Country
        8.3.2. By Industry Vertical
    8.4. Key Takeaways
9. Europe Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country
    9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2017 to 2021
    9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2022 to 2032
        9.2.1. By Country
            9.2.1.1. Germany
            9.2.1.2. United Kingdom
            9.2.1.3. France
            9.2.1.4. Spain
            9.2.1.5. Italy
            9.2.1.6. Russia
            9.2.1.7. Rest of Europe
        9.2.2. By Industry Vertical
    9.3. Market Attractiveness Analysis
        9.3.1. By Country
        9.3.2. By Industry Vertical
    9.4. Key Takeaways
10. Asia Pacific Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country
    10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2017 to 2021
    10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2022 to 2032
        10.2.1. By Country
            10.2.1.1. China
            10.2.1.2. Japan
            10.2.1.3. India
            10.2.1.4. South Korea
            10.2.1.5. Australia
            10.2.1.6. Rest of Asia Pacific
        10.2.2. By Industry Vertical
    10.3. Market Attractiveness Analysis
        10.3.1. By Country
        10.3.2. By Industry Vertical
    10.4. Key Takeaways
11. Middle East and Africa Market Analysis 2017 to 2021 and Forecast 2022 to 2032, By Country
    11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2017 to 2021
    11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2022 to 2032
        11.2.1. By Country
            11.2.1.1. South Africa
            11.2.1.2. Saudi Arabia
            11.2.1.3. United Arab Emirates(UAE)
            11.2.1.4. Israel
            11.2.1.5. Rest of Middle East and Africa(MEA)
        11.2.2. By Industry Vertical
    11.3. Market Attractiveness Analysis
        11.3.1. By Country
        11.3.2. By Industry Vertical
    11.4. Key Takeaways
12. Key Countries Market Analysis
    12.1. USA
        12.1.1. Pricing Analysis
        12.1.2. Market Share Analysis, 2021
            12.1.2.1. By Industry Vertical
    12.2. Canada
        12.2.1. Pricing Analysis
        12.2.2. Market Share Analysis, 2021
            12.2.2.1. By Industry Vertical
    12.3. Brazil
        12.3.1. Pricing Analysis
        12.3.2. Market Share Analysis, 2021
            12.3.2.1. By Industry Vertical
    12.4. Mexico
        12.4.1. Pricing Analysis
        12.4.2. Market Share Analysis, 2021
            12.4.2.1. By Industry Vertical
    12.5. Germany
        12.5.1. Pricing Analysis
        12.5.2. Market Share Analysis, 2021
            12.5.2.1. By Industry Vertical
    12.6. United Kingdom
        12.6.1. Pricing Analysis
        12.6.2. Market Share Analysis, 2021
            12.6.2.1. By Industry Vertical
    12.7. France
        12.7.1. Pricing Analysis
        12.7.2. Market Share Analysis, 2021
            12.7.2.1. By Industry Vertical
    12.8. Spain
        12.8.1. Pricing Analysis
        12.8.2. Market Share Analysis, 2021
            12.8.2.1. By Industry Vertical
    12.9. Italy
        12.9.1. Pricing Analysis
        12.9.2. Market Share Analysis, 2021
            12.9.2.1. By Industry Vertical
    12.10. Russia
        12.10.1. Pricing Analysis
        12.10.2. Market Share Analysis, 2021
            12.10.2.1. By Industry Vertical
    12.11. China
        12.11.1. Pricing Analysis
        12.11.2. Market Share Analysis, 2021
            12.11.2.1. By Industry Vertical
    12.12. Japan
        12.12.1. Pricing Analysis
        12.12.2. Market Share Analysis, 2021
            12.12.2.1. By Industry Vertical
    12.13. India
        12.13.1. Pricing Analysis
        12.13.2. Market Share Analysis, 2021
            12.13.2.1. By Industry Vertical
    12.14. South Korea
        12.14.1. Pricing Analysis
        12.14.2. Market Share Analysis, 2021
            12.14.2.1. By Industry Vertical
    12.15. Australia
        12.15.1. Pricing Analysis
        12.15.2. Market Share Analysis, 2021
            12.15.2.1. By Industry Vertical
    12.16. South Africa
        12.16.1. Pricing Analysis
        12.16.2. Market Share Analysis, 2021
            12.16.2.1. By Industry Vertical
    12.17. Saudi Arabia
        12.17.1. Pricing Analysis
        12.17.2. Market Share Analysis, 2021
            12.17.2.1. By Industry Vertical
    12.18. United Arab Emirates(UAE)
        12.18.1. Pricing Analysis
        12.18.2. Market Share Analysis, 2021
            12.18.2.1. By Industry Vertical
    12.19. Israel
        12.19.1. Pricing Analysis
        12.19.2. Market Share Analysis, 2021
            12.19.2.1. By Industry Vertical
13. Market Structure Analysis
    13.1. Competition Dashboard
    13.2. Competition Benchmarking
    13.3. Market Share Analysis of Top Players
        13.3.1. By Regional
        13.3.2. By Industry Vertical
14. Competition Analysis
    14.1. Competition Deep Dive
        14.1.1. Microsoft Corporation
            14.1.1.1. Overview
            14.1.1.2. Product Portfolio
            14.1.1.3. Profitability by Market Segments
            14.1.1.4. Sales Footprint
            14.1.1.5. Strategy Overview
                14.1.1.5.1. Marketing Strategy
        14.1.2. Oracle
            14.1.2.1. Overview
            14.1.2.2. Product Portfolio
            14.1.2.3. Profitability by Market Segments
            14.1.2.4. Sales Footprint
            14.1.2.5. Strategy Overview
                14.1.2.5.1. Marketing Strategy
        14.1.3. Salesforce
            14.1.3.1. Overview
            14.1.3.2. Product Portfolio
            14.1.3.3. Profitability by Market Segments
            14.1.3.4. Sales Footprint
            14.1.3.5. Strategy Overview
                14.1.3.5.1. Marketing Strategy
        14.1.4. SAS
            14.1.4.1. Overview
            14.1.4.2. Product Portfolio
            14.1.4.3. Profitability by Market Segments
            14.1.4.4. Sales Footprint
            14.1.4.5. Strategy Overview
                14.1.4.5.1. Marketing Strategy
        14.1.5. TIBCO
            14.1.5.1. Overview
            14.1.5.2. Product Portfolio
            14.1.5.3. Profitability by Market Segments
            14.1.5.4. Sales Footprint
            14.1.5.5. Strategy Overview
                14.1.5.5.1. Marketing Strategy
        14.1.6. IBM
            14.1.6.1. Overview
            14.1.6.2. Product Portfolio
            14.1.6.3. Profitability by Market Segments
            14.1.6.4. Sales Footprint
            14.1.6.5. Strategy Overview
                14.1.6.5.1. Marketing Strategy
        14.1.7. Qlik
            14.1.7.1. Overview
            14.1.7.2. Product Portfolio
            14.1.7.3. Profitability by Market Segments
            14.1.7.4. Sales Footprint
            14.1.7.5. Strategy Overview
                14.1.7.5.1. Marketing Strategy
        14.1.8. SAP
            14.1.8.1. Overview
            14.1.8.2. Product Portfolio
            14.1.8.3. Profitability by Market Segments
            14.1.8.4. Sales Footprint
            14.1.8.5. Strategy Overview
                14.1.8.5.1. Marketing Strategy
        14.1.9. Looker
            14.1.9.1. Overview
            14.1.9.2. Product Portfolio
            14.1.9.3. Profitability by Market Segments
            14.1.9.4. Sales Footprint
            14.1.9.5. Strategy Overview
                14.1.9.5.1. Marketing Strategy
        14.1.10. Accenture
            14.1.10.1. Overview
            14.1.10.2. Product Portfolio
            14.1.10.3. Profitability by Market Segments
            14.1.10.4. Sales Footprint
            14.1.10.5. Strategy Overview
                14.1.10.5.1. Marketing Strategy
15. Assumptions & Acronyms Used
16. Research Methodology
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