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市场调查报告书
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1456927

资料收益市场 - 2024 年至 2029 年预测

Data Monetization Market - Forecasts from 2024 to 2029
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 152 Pages | 商品交期: 最快1-2个工作天内

价格
简介目录

2022年资料收益市场规模为1,999.82亿美元，预估2029年将达3,073.03亿美元，预测期间内复合年增长率为6.33%。

资料收益是公司之间共用资料的过程。业务数位化的快速采用、企业资料量的增加、对资料收益潜在好处的认识不断提高以及市场上运营的主要企业的巨额投资预计将推动市场的成长。例如，Uber、Lyft 和 Ola 等叫车公司使用位置分析来收集与从接送地点提取的客户资料相关的资讯。 Uber 和 Ola 等公司在获得您的许可后，会将这些资料出售给其他组织和公司。其他公司也可以使用这些资料来提供各种优惠券、促销和折扣，鼓励消费者在其产品上花钱。

云端处理在世界各地的普及正在推动市场发展。

支持整体市场成长的关键原因之一是全球越来越多地采用云端技术。各国政府正做出巨大努力，扩大物联网、云端运算和人工智慧等尖端技术的采用。例如，新加坡政府推出了政府商业云端服务，将商业云端处理平台的创新和能力带入非敏感政府系统。各个已开发国家的电讯营运商也正在采用云端技术来实现业务成长并向最终用户提供云端服务，我们相信这将进一步推动预测期内对资料收益解决方案和服务的需求。此外，组织越来越多地转向采用数位转型预计将推动云端处理服务的采用，从而推动整体市场的成长。

此外，根据网路电信联盟公布的资料，2022年网路用户将达51亿，2023年将增加至54亿。网路世界的普及预计将产生大量资料并增加对资料收益服务的需求。此外，所有医疗保健主管将用于结果预测的人工智慧投资从 2021 年的 30% 增加到 2023 年的 39%。此外，根据飞利浦未来健康指数报告，到 2023 年，39% 的医疗保健主管打算投资人工智慧 (AI) 来预测结果，高于 2021 年的 30%。

此外，边缘运算、人工智慧和物联网等先进技术的日益使用也进一步推动了资料收益服务的采用。例如，加拿大在2021年联邦预算中大力投资人工智慧，宣布将投资1.85亿美元支持人工智慧研究的商业化。该投资是为了支持泛加拿大人工智慧策略，预计 10 年内将达到 4.438 亿美元，并对整体市场成长产生积极影响（资料来源：ITA）。

预计北美地区市场将会成长。

在新兴经济体正在发展的美国，数位化迅速提高，竞争日益加剧，对资料收益服务的需求不断增加，加上物联网、巨量资料、人工智慧的快速采用。市场正在迅速适应和发展，以满足不断变化的智慧商业服务需求。一些市场参与企业正在扩大规模，以满足新的需求并提供更好的服务和解决方案。资料收益平台 UBDI 与 AXIA 于 2021 年 7 月的合作就是一个例子。透过这种合作关係，AXIA 成功地实现了货币民主化，让用户能够更好地控制自己的资料，并以新颖且创造性的方式将其货币化。展望未来，两家公司都计划利用彼此的基础设施来建立对用户至关重要的新工具。

在当今的数位时代，第一方资料的规模是许多品牌目前正在努力解决的关键问题之一。日益严重的隐私问题和即将出台的有关消费者识别资讯的法规正在加剧这种情况。提供符合当前隐私规则的强大身分验证解决方案工具，资料对于各种规模的企业进行决策、分析市场趋势、减少损失、增加利润已经变得至关重要。利用这种成长，该地区的许多新兴企业也迅速进入市场，进一步加剧了市场竞争。在美国，主要新兴企业包括 Instrematic、Frame AI、OctoML 和 PostEra。同时，由于资料和多个相关行业的成长，资料科学家或分析分析师的角色已成为最受欢迎的职业。例如，根据美国劳工统计局的数据，截至 2021 年 5 月，该国约有 105,980 名资料科学家，反映了市场对资料重要性的需求。

主要市场开拓：

  • 领先的 IT 公司 Tata Consultancy Services (TCS) 于 2023 年 6 月在 Google Cloud 上推出了 TCS Dexam资料市场平台。该公司表示，该平台将透过确保遵守资料同意、隐私和收益法规，实现企业资料的民主化和货币化，同时为企业及其生态系统合作伙伴提供持续的资料交换。
  • John Snow Labs 是一家开发 Spark NLP 库的医疗 AI 和 NLPStart-Ups，于 2022 年 10 月推出了其自动去识别系统的增强功能。 John Snow Labs 协助世界各地的医疗保健组织自动将大型资料集去识别化，以推动产品创新并降低成本。资料收益所需的自订去识别识别由该公司的自动去识别解决方案提供。
  • 2022 年 6 月，我们宣布 Google Cloud 与 Palantir 建立合作关係。业务的成功取决于有效处理资料的能力，随着世界变得更加复杂，将分析转化为改进的决策和结果。为了解决这种复杂性，Palantir 和 Google Cloud 将利用后者的分析、人工智慧和机器学习功能来推动业务决策，并为前者的商业客户提供端到端资料解决方案。这使得第一线业务用户、IT 和技术专家之间能够更快地实现价值，使每个人都能更有效地利用资料，同时帮助客户主导资料驱动型转型。
  • BDEX 和 InfoSum 2021 年 2 月，领先的 ID 基础设施供应商 InfoSum 与 BDEX 建立合作伙伴关係。由于新的合作伙伴关係，InfoSum 客户现在可以存取 BDEX 广泛的身份图和其他资料资产，从而使他们能够产生目标受众并产生对第一方资料的新见解，同时保护消费者隐私。

主要参与企业

  • 埃森哲是一位着名的参与企业，提供一系列旨在帮助企业从资料资产中获取价值的服务。埃森哲利用先进的分析、人工智慧和机器学习功能来帮助您优化资料策略，以产生收入并提高业务效率。埃森哲是一家以创新而闻名的全球性公司，为各行业提供专业的解决方案。
  • Adastra 专门为希望最大限度地发挥资料潜力并收益的企业提供资料管理和分析解决方案。 Adastra 专注于资料管治、整合和质量，使公司能够将原始资料转化为可操作的见解，从而推动收益成长和竞争优势。透过结合尖端技术和行业专业知识，Adastra 帮助客户释放其资料资产的价值，同时确保遵守监管标准和隐私法规。 Adastra 是资料收益领域值得信赖的合作伙伴，帮助企业驾驭复杂的资料生态系统并利用数位市场的新机会。
  • Infosys 是一家全球领先的咨询和技术服务公司，为世界各地的企业提供全面的资料收益解决方案。凭藉云端运算、分析和数位转型的专业知识，印孚瑟斯帮助企业释放资料资产的价值，推动收益成长和创新。透过利用先进的分析、机器学习和人工智慧功能，Infosys 帮助客户从资料中获得可行的见解，做出明智的决策，并利用新兴市场趋势。 Infosys 专注于提供可衡量的业务成果，帮助企业有效地将资料资产收益，并在当今资料驱动的经济中竞争。

目录

第一章 简介

  • 市场概况
  • 市场定义
  • 调查范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关人员的主要利益

第二章调查方法

  • 研究设计
  • 调查过程

第三章执行摘要

  • 主要发现
  • 分析师观点

第四章市场动态

  • 市场驱动因素
  • 市场限制因素
  • 波特五力分析
  • 产业价值链分析
  • 分析师观点

第五章资料收益市场：依产品类型

  • 介绍
  • 解决方案
  • 服务

第六章资料收益市场：依部署模型

  • 介绍
  • 本地
  • 云

第七章资料收益市场：依公司规模

  • 介绍
  • 小的
  • 期间~
  • 大的

第八章资料收益市场：按最终用户产业

  • 介绍
  • 零售
  • 製造业
  • 车
  • 英国
  • 媒体和娱乐
  • 其他的

第九章资料收益市场：按地区

  • 介绍
  • 北美洲
  • 南美洲
  • 欧洲
  • 中东/非洲
  • 亚太地区

第十章竞争环境及分析

  • 主要企业及策略分析
  • 市场占有率分析
  • 合併、收购、协议和合作
  • 竞争对手仪表板

第十一章 公司简介

  • Accenture
  • First Quantum（Adastra）
  • Dawex Systems
  • Elevondata
  • EMU Analytics
  • Gemalto NV（Thales Group）
  • Infosys
  • MonetizeMore
  • IBM
  • Google
  • SAP
  • SAS AB
简介目录
Product Code: KSI061612184

The data monetization market was valued at US$199.982 billion in 2022 and is projected to expand at a CAGR of 6.33% over the forecast period to reach US$307.303 billion by 2029.

Data monetization is the process in which the data is shared between companies. The rapid adoption of digitization of businesses, rise in enterprise data volume, growing awareness towards the potential benefits of data monetization, and huge investments by key players operating in the market are anticipated to drive the market growth. For instance, ride-hailing companies such as Uber, Lyft, and Ola use location-based analytics to gather information related to their customer's data that is extracted from pick-up and drop locations. Companies such as Uber and Ola sell this data to other organizations or businesses with the user's permission. This data can be further used by other companies to provide different vouchers, promotions, or discounts that encourage consumers to spend money on their products.

The rising adoption of cloud computing worldwide propels the market.

One of the prime reasons supporting the growth of the overall market growth is the increasing adoption of cloud technology worldwide. The governments of various countries are making huge efforts to increase the adoption of advanced technologies such as IoT, cloud computing, and AI. For instance, the Singapore government has launched the Government Commercial Cloud Service that will introduce the innovations and capabilities of commercial cloud computing platforms to less sensitive government systems. Telecom providers in various developed nations are also adopting cloud technology for the growth of their businesses and to provide cloud services to end-users which will further augment the demand for data monetization solutions and services during the forecast period. Additionally, the increasing shift of organizations towards the adoption of digital transformation is expected to drive the adoption of cloud computing services, which in turn is anticipated to drive the overall market growth.

Furthermore, according to the data published by Internet Telecom Union, the number of Internet users in 2022 was 5.1 billion which has increased to 5.4 billion in 2023. Growing penetration of the internet globally is anticipated to generate huge data which will increase the demand for data monetization services. Additionally, all healthcare executives increased their projected investments in AI for outcome prediction, from 30% in 2021 to 39% in 2023. Moreover, in 2023, 39% of healthcare executives intend to invest in artificial intelligence (AI) to predict outcomes, up from 30% in 2021, according to the Philips Future Health Index report.

Moreover, the growing use of advanced technologies, such as edge computing, AI, and the Internet of Things, is further augmenting the adoption of data monetization services. For instance, Canada is making a significant investment in Artificial Intelligence in its federal budget for 2021 the country has announced that it will invest $185 million to support the commercialization of AI research. The investments are made to support the Pan-Canadian Artificial Intelligence Strategy to $443.8 million over 10 years which is anticipated to have a positive impact on the overall market growth (Source: ITA).

The market is projected to grow in the North American region.

The well-developed economies, rapidly growing digitalization and competitively advancing technologies in the United States of America, coupled with the swift adoption of IoT, big data, and AI, are propelling the demand for data monetization services. The market is rapidly adapting and evolving to meet the changing demands of smart business services. Amid such a scenario, multiple market players are scaling up to meet the emerging demands and offer better services and solutions. The collaboration between the data monetization platform UBDI and AXIA in July 2021 is another example. The partnership has helped advance AXIA's efforts to democratize money, giving the users more control over their data and monetizing it in fresh and creative ways. Together, the duo intends to be able to take advantage of one another's infrastructure to build vital new tools for users.

In the present digital era, the size of their first-party data is one of the main issues that many brands are currently dealing with. The growing privacy concerns and impending restrictions on consumer identifiers have made this situation much worse. To provide a potent identity resolution tool that complies with the current privacy rules, Data has become indispensable value for businesses of all sizes to make decisions, analyze market trends, reduce losses, and increase profits. Exploiting this growth, many start-ups in the region are also rapidly emerging in the market, making it even more competitive. Instrematic, Frame AI, OctoML, and PostEra are a few major start-ups in the United States. At the same time, the roles of a Data Scientist and research analyst has become the most sought-after profession due to the increase in data and in multiple connected industries. For instance, according to the US Bureau of Labor Statistics, there are about 105,980 data scientists in the country as of May 2021, reflecting the need for the importance of data in the market.

Key Market Developments:

  • Leading IT firm Tata Consultancy Services (TCS) introduced the TCS Dexam data marketplace platform on Google Cloud in June 2023. The platform, according to the company, ensures compliance with data consent, privacy, and security regulations while enabling enterprises to democratize and monetize data by offering a continuous data exchange for enterprises and their ecosystem partners.
  • John Snow Labs, the Healthcare AI and NLP startup that created the Spark NLP library, revealed enhancements to its automated de-identification system in October 2022. John Snow Labs helps healthcare organizations all over the world to automatically de-identify large datasets, empowering product innovation and cost savings. Custom de-identification needed for data monetization is provided by the company's automatic de-identification solution.
  • Partnership announced between Google Cloud and Palantir in June 2022. Business success depends on the ability to efficiently handle data while converting analysis into improved decisions and results as the world becomes more complicated. To deal with such complexities, Palantir and Google Cloud announced their partnership to offer the former's commercial customers an end-to-end data solution, enhancing operational decision-making with the latter's analytics, artificial intelligence, and machine learning capabilities. This will enable data-driven transformation for its clients while providing a quick time-to-value link between front-line business users, IT, and technical experts, enabling them all to use their data more effectively
  • BDEX and InfoSum have teamed up in February 2021, leading identity infrastructure supplier InfoSum and BDEX entered into a partnership. As a result of the new partnership, InfoSum clients were able to access BDEX's extensive identity graph and other data assets, allowing them to generate targeted audiences and gain fresh insights into their first-party data while protecting the privacy of those consumers.

Key Players:

  • Accenture is a prominent player, offering a range of services aimed at helping businesses extract value from their data assets. Leveraging advanced analytics, artificial intelligence, and machine learning capabilities, Accenture assists clients in optimizing their data strategies to drive revenue generation and improve operational efficiency. With a strong global presence and a reputation for innovation, Accenture delivers tailored solutions to various industries, empowering organizations to unlock insights, enhance decision-making processes, and capitalize on emerging opportunities in the rapidly evolving data economy.
  • Adastra specializes in data management and analytics solutions, catering to businesses seeking to harness the full potential of their data for monetization purposes. With a focus on data governance, integration, and quality, Adastra enables organizations to transform raw data into actionable insights, driving revenue growth and competitive advantage. Through a combination of cutting-edge technologies and industry expertise, Adastra empowers clients to unlock the value of their data assets while ensuring compliance with regulatory standards and privacy regulations. As a trusted partner in the data monetization space, Adastra helps businesses navigate complex data ecosystems and capitalize on emerging opportunities in the digital marketplace.
  • Infosys is a leading global consulting and technology services firm that offers comprehensive data monetization solutions to enterprises worldwide. Leveraging its expertise in cloud computing, analytics, and digital transformation, Infosys assists organizations in unlocking the value of their data assets to drive revenue growth and innovation. By harnessing advanced analytics, machine learning, and artificial intelligence capabilities, Infosys helps clients derive actionable insights from their data, enabling them to make informed decisions and capitalize on emerging market trends. With a focus on delivering measurable business outcomes, Infosys empowers businesses to monetize their data assets effectively, gaining a competitive edge in today's data-driven economy.

Segmentation:

By Offering Type:

  • Solution
  • Services

By Deployment Model:

  • On-Premise
  • Cloud

By Enterprise Size:

  • Small
  • Medium
  • Large

By End-User Industry:

  • Retail
  • Manufacturing
  • Automotive
  • BFSI
  • Media and Entertainment
  • Others

By Geography

  • North America
  • United States
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • United Kingdom
  • Germany
  • France
  • Italy
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Israel
  • Others
  • Asia Pacific
  • Japan
  • China
  • India
  • South Korea
  • Indonesia
  • Thailand
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base, and Forecast Years Timeline
  • 1.8. Key benefits for the stakeholders

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Process

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings
  • 3.2. Analyst View

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis
  • 4.5. Analyst View

5. DATA MONETIZATION MARKET BY OFFERING TYPE

  • 5.1. Introduction
  • 5.2. Solution
    • 5.2.1. Market Trends and Opportunities
    • 5.2.2. Growth Prospects
    • 5.2.3. Geographic Lucrativeness
  • 5.3. Services
    • 5.3.1. Market Trends and Opportunities
    • 5.3.2. Growth Prospects
    • 5.3.3. Geographic Lucrativeness

6. DATA MONETIZATION MARKET BY DEPLOYMENT MODEL

  • 6.1. Introduction
  • 6.2. On-Premise
    • 6.2.1. Market Trends and Opportunities
    • 6.2.2. Growth Prospects
    • 6.2.3. Geographic Lucrativeness
  • 6.3. Cloud
    • 6.3.1. Market Trends and Opportunities
    • 6.3.2. Growth Prospects
    • 6.3.3. Geographic Lucrativeness

7. DATA MONETIZATION MARKET BY ENTERPRISE SIZE

  • 7.1. Introduction
  • 7.2. Small
    • 7.2.1. Market Trends and Opportunities
    • 7.2.2. Growth Prospects
    • 7.2.3. Geographic Lucrativeness
  • 7.3. Medium
    • 7.3.1. Market Trends and Opportunities
    • 7.3.2. Growth Prospects
    • 7.3.3. Geographic Lucrativeness
  • 7.4. Large
    • 7.4.1. Market Trends and Opportunities
    • 7.4.2. Growth Prospects
    • 7.4.3. Geographic Lucrativeness

8. DATA MONETIZATION MARKET BY END-USER INDUSTRY

  • 8.1. Introduction
  • 8.2. Retail
    • 8.2.1. Market Trends and Opportunities
    • 8.2.2. Growth Prospects
    • 8.2.3. Geographic Lucrativeness
  • 8.3. Manufacturing
    • 8.3.1. Market Trends and Opportunities
    • 8.3.2. Growth Prospects
    • 8.3.3. Geographic Lucrativeness
  • 8.4. Automotive
    • 8.4.1. Market Trends and Opportunities
    • 8.4.2. Growth Prospects
    • 8.4.3. Geographic Lucrativeness
  • 8.5. BFSI
    • 8.5.1. Market Trends and Opportunities
    • 8.5.2. Growth Prospects
    • 8.5.3. Geographic Lucrativeness
  • 8.6. Media and Entertainment
    • 8.6.1. Market Trends and Opportunities
    • 8.6.2. Growth Prospects
    • 8.6.3. Geographic Lucrativeness
  • 8.7. Others
    • 8.7.1. Market Trends and Opportunities
    • 8.7.2. Growth Prospects
    • 8.7.3. Geographic Lucrativeness

9. DATA MONETIZATION MARKET BY GEOGRAPHY

  • 9.1. Introduction
  • 9.2. North America
    • 9.2.1. By Offering Type
    • 9.2.2. By Enterprise Size
    • 9.2.3. By Development Mode
    • 9.2.4. By End-User Industry
    • 9.2.5. By Country
      • 9.2.5.1. United States
        • 9.2.5.1.1. Market Trends and Opportunities
        • 9.2.5.1.2. Growth Prospects
      • 9.2.5.2. Canada
        • 9.2.5.2.1. Market Trends and Opportunities
        • 9.2.5.2.2. Growth Prospects
      • 9.2.5.3. Mexico
        • 9.2.5.3.1. Market Trends and Opportunities
        • 9.2.5.3.2. Growth Prospects
  • 9.3. South America
    • 9.3.1. By Offering Type
    • 9.3.2. By Enterprise Size
    • 9.3.3. By Development Mode
    • 9.3.4. By End-User Industry
    • 9.3.5. By Country
      • 9.3.5.1. Brazil
        • 9.3.5.1.1. Market Trends and Opportunities
        • 9.3.5.1.2. Growth Prospects
      • 9.3.5.2. Argentina
        • 9.3.5.2.1. Market Trends and Opportunities
        • 9.3.5.2.2. Growth Prospects
      • 9.3.5.3. Others
        • 9.3.5.3.1. Market Trends and Opportunities
        • 9.3.5.3.2. Growth Prospects
  • 9.4. Europe
    • 9.4.1. By Offering Type
    • 9.4.2. By Enterprise Size
    • 9.4.3. By Development Mode
    • 9.4.4. By End-User Industry
    • 9.4.5. By Country
      • 9.4.5.1. United Kingdom
        • 9.4.5.1.1. Market Trends and Opportunities
        • 9.4.5.1.2. Growth Prospects
      • 9.4.5.2. Germany
        • 9.4.5.2.1. Market Trends and Opportunities
        • 9.4.5.2.2. Growth Prospects
      • 9.4.5.3. France
        • 9.4.5.3.1. Market Trends and Opportunities
        • 9.4.5.3.2. Growth Prospects
      • 9.4.5.4. Italy
        • 9.4.5.4.1. Market Trends and Opportunities
        • 9.4.5.4.2. Growth Prospects
      • 9.4.5.5. Spain
        • 9.4.5.5.1. Market Trends and Opportunities
        • 9.4.5.5.2. Growth Prospects
      • 9.4.5.6. Others
        • 9.4.5.6.1. Market Trends and Opportunities
        • 9.4.5.6.2. Growth Prospects
  • 9.5. Middle East and Africa
    • 9.5.1. By Offering Type
    • 9.5.2. By Enterprise Size
    • 9.5.3. By Development Mode
    • 9.5.4. By End-User Industry
    • 9.5.5. By Country
      • 9.5.5.1. Saudi Arabia
        • 9.5.5.1.1. Market Trends and Opportunities
        • 9.5.5.1.2. Growth Prospects
      • 9.5.5.2. UAE
        • 9.5.5.2.1. Market Trends and Opportunities
        • 9.5.5.2.2. Growth Prospects
      • 9.5.5.3. Israel
        • 9.5.5.3.1. Market Trends and Opportunities
        • 9.5.5.3.2. Growth Prospects
      • 9.5.5.4. Others
        • 9.5.5.4.1. Market Trends and Opportunities
        • 9.5.5.4.2. Growth Prospects
  • 9.6. Asia Pacific
    • 9.6.1. By Offering Type
    • 9.6.2. By Enterprise Size
    • 9.6.3. By Development Mode
    • 9.6.4. By End-User Industry
    • 9.6.5. By Country
      • 9.6.5.1. Japan
        • 9.6.5.1.1. Market Trends and Opportunities
        • 9.6.5.1.2. Growth Prospects
      • 9.6.5.2. China
        • 9.6.5.2.1. Market Trends and Opportunities
        • 9.6.5.2.2. Growth Prospects
      • 9.6.5.3. India
        • 9.6.5.3.1. Market Trends and Opportunities
        • 9.6.5.3.2. Growth Prospects
      • 9.6.5.4. South Korea
        • 9.6.5.4.1. Market Trends and Opportunities
        • 9.6.5.4.2. Growth Prospects
      • 9.6.5.5. Indonesia
        • 9.6.5.5.1. Market Trends and Opportunities
        • 9.6.5.5.2. Growth Prospects
      • 9.6.5.6. Thailand
        • 9.6.5.6.1. Market Trends and Opportunities
        • 9.6.5.6.2. Growth Prospects
      • 9.6.5.7. Others
        • 9.6.5.7.1. Market Trends and Opportunities
        • 9.6.5.7.2. Growth Prospects

10. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 10.1. Major Players and Strategy Analysis
  • 10.2. Market Share Analysis
  • 10.3. Mergers, Acquisition, Agreements, and Collaborations
  • 10.4. Competitive Dashboard

11. COMPANY PROFILES

  • 11.1. Accenture
  • 11.2. First Quantum (Adastra)
  • 11.3. Dawex Systems
  • 11.4. Elevondata
  • 11.5. EMU Analytics
  • 11.6. Gemalto NV (Thales Group)
  • 11.7. Infosys
  • 11.8. MonetizeMore
  • 11.9. IBM
  • 11.10. Google
  • 11.11. SAP
  • 11.12. SAS AB