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市場調査レポート
商品コード
1541070
データ収益化市場レポート:方法、組織規模、最終用途、地域別、2024~2032年Data Monetization Market Report by Method, Organization Size, End Use, and Region 2024-2032 |
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カスタマイズ可能
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データ収益化市場レポート:方法、組織規模、最終用途、地域別、2024~2032年 |
出版日: 2024年08月10日
発行: IMARC
ページ情報: 英文 137 Pages
納期: 2~3営業日
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世界のデータ収益化市場規模は2023年に35億米ドルに達しました。今後、IMARC Groupは、2024~2032年にかけての成長率(CAGR)は16.6%を示し、2032年には144億米ドルに達すると予測しています。同市場は、組織における相当量のデータ、消費者とのやり取り、デジタルタッチポイントの生成、データ主導の意思決定に対するニーズの高まり、データ処理、ストレージ、分析技術の急速な進歩などを背景に、着実な成長を遂げています。
市場の成長と規模:市場は、様々な業界におけるデータ主導の意思決定の重要性の高まりに牽引され、力強い成長を遂げています。生成されるデータ量の増加や、企業がデータ資産から価値を引き出す必要性も、市場の展望を良好なものにしています。
技術の進歩:人工知能(AI)や機械学習(ML)などの急速な技術革新は、より効率的なデータ収益化戦略の実現に極めて重要な役割を果たしています。これらの技術は、データから実用的な洞察を引き出し、その価値を高めるのに役立ちます。
産業への応用:データ収益化は、金融、医療、小売、通信など、さまざまな業界で応用されています。これにより、企業はデータのポテンシャルを引き出し、より良い意思決定と収益創出につなげることができます。
地域別動向:北米は高度な技術インフラを背景に市場をリードしています。しかし、アジア太平洋は、高度な分析の導入により、急成長市場として浮上しています。
競合情勢:市場の主要参入企業は、包括的なソリューションを提供し、競争情勢で優位に立つために技術革新を進めています。先進的な分析、AI、機械学習(ML)技術に投資し、データからのより強力な洞察を提供することで、企業がより適切な意思決定を行えるようにしています。
課題と機会:同市場は、データセキュリティの懸念、データ品質の問題、熟練したデータ専門家の必要性などの課題に直面する一方で、未開拓のデータソースの活用や新興市場への進出といった機会にも遭遇しています。
将来の展望:データ収益化市場の将来は有望です。医療、金融、小売など特定の業界向けにカスタマイズ型データ収益化ソリューションの需要が高まっています。このような特化型ソリューションは、業界特有の課題や機会に対処することになると考えられます。
データ量の増大
組織は、業務、消費者とのやり取り、デジタルタッチポイントを通じて膨大な量のデータを生成しています。このデータには構造化情報と非構造化情報が含まれ、戦略的な意思決定や収益創出に活用できる貴重な洞察を提供しています。企業がより多くのデータを蓄積するにつれて、そこから価値を引き出す方法を見つける意欲が高まっています。データの収益化は、このデータを社内で活用するだけでなく、データを他の組織と共有したり販売したりすることで、さらなる収益源を生み出す手段を記載しています。モノのインターネット(IoT)デバイスの普及、ソーシャルメディアとのやりとり、eコマース取引、デジタルサービスは、データの爆発的増加に大きく寄与しています。技術がより日常生活に溶け込むようになるにつれて、この傾向はさらに続くと予想され、データ収益化ソリューションや戦略の需要がさらに高まっています。
データ主導の意思決定の必要性
データ主導の意思決定に対するニーズの高まりが、市場の成長を後押ししています。競合情勢において、企業はデータが戦略的な選択を導き、プロセスを最適化し、全体的なパフォーマンスを向上させる資産であることを認識しています。データ主導の意思決定により、企業は事実に基づいた洞察に基づいて戦略や行動をとることができるようになります。このアプローチは、意思決定プロセスの精度と有効性を高め、製品開拓、マーケティング・キャンペーン、資源配分などのセグメントでより良い結果をもたらします。企業が競合を獲得し、ペースの速い市場で機敏性を維持することを目指す中、データ主導の考察に対する需要は高まっています。データの収益化により、企業はデータ資産を活用して実用的な洞察力を獲得し、動向を特定し、情報に基づいた意思決定をリアルタイムで行うことができます。
技術の進歩
データ処理、ストレージ、分析技術の急速な進歩は、組織がデータ資産から価値を引き出す新たな可能性を開いています。人工知能(AI)と機械学習(ML)の登場は、データ分析に革命をもたらしています。これらの技術により、企業は隠れた洞察の発見、将来の動向予測、意思決定プロセスの自動化を実現し、データの収益化の可能性を高めています。ビッグデータプラットフォームとクラウドコンピューティングは、企業が膨大な量のデータをコスト効率よく保存・管理することをより現実的なものにしています。この拡大性により、企業はより大規模なデータの蓄積と活用が可能になり、データ収益化戦略の必要性が高まっています。
データ価値に対する意識の高まり
データの価値に対する人々の意識の高まりは、市場の展望を良好なものにしています。さまざまな業界の組織が、データは単なる業務の製品別ではなく、収益と洞察を生み出す可能性を秘めた資産であるとの認識を強めています。このような認識は、企業がデータを直接販売したり、製品やサービスの強化に活用したりして収益化している成功事例から生じています。さらに、データ収益化に焦点を当てた教育的取り組み、業界レポート、カンファレンスも、認知の拡大に貢献しています。
The global data monetization market size reached US$ 3.5 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 14.4 Billion by 2032, exhibiting a growth rate (CAGR) of 16.6% during 2024-2032. The market is experiencing steady growth driven by the generation of considerable amounts of data, consumer interactions, and digital touchpoints in organizations, increasing need for data-driven decision-making, and rapid progress in data processing, storage, and analytics technologies.
Market Growth and Size: The market is witnessing robust growth, driven by the increasing importance of data-driven decision-making across various industries. The growing volume of data generated and the need for businesses to derive value from their data assets are also offering a favorable market outlook.
Technological Advancements: Rapid technological innovations, such as artificial intelligence (AI) and machine learning (ML), are playing a pivotal role in enabling more efficient data monetization strategies. These technologies help in extracting actionable insights from data, enhancing its value.
Industry Applications: Data monetization finds applications across diverse industries, including finance, healthcare, retail, and telecommunications. It allows businesses to unlock the potential of their data for better decision-making and revenue generation.
Geographical Trends: North America leads the market, driven by its advanced technological infrastructure. However, Asia Pacific is emerging as a fast-growing market, driven by the adoption of advanced analytics.
Competitive Landscape: Key players in the market are innovating to offer comprehensive solutions and stay ahead in the competitive landscape. They are investing in advanced analytics, AI, and machine learning (ML) technologies to provide more powerful insights from data, enabling businesses to make better decisions.
Challenges and Opportunities: While the market faces challenges, such as data security concerns, data quality issues, and the need for skilled data professionals, it also encounters opportunities in leveraging untapped data sources and expanding into emerging markets.
Future Outlook: The future of the data monetization market looks promising, with the increasing demand for tailored data monetization solutions for specific industries, such as healthcare, finance, and retail. These specialized solutions will address industry-specific challenges and opportunities.
Growing volume of data
Organizations are generating vast amounts of data through their operations, consumer interactions, and digital touchpoints. This data encompasses structured and unstructured information, offering valuable insights that can be harnessed for strategic decision-making and revenue generation. As businesses are accumulating more data, they are increasingly motivated to find ways to derive value from it. Data monetization provides a means to not only leverage this data for internal purposes but also to create additional revenue streams by sharing or selling data to other organizations. The proliferation of Internet of Things (IoT) devices, social media interactions, e-commerce transactions, and digital services is contributing significantly to the data explosion. This trend is expected to continue as technology becomes more integrated into daily life, further catalyzing the demand for data monetization solutions and strategies.
Need for data-driven decision-making
The increasing need for data-driven decision-making is bolstering the growth of the market. In the competitive business landscape, organizations recognize that data is an asset that can guide strategic choices, optimize processes, and improve overall performance. Data-driven decision-making empowers businesses to base their strategies and actions on factual insights. This approach enhances the accuracy and effectiveness of decision-making processes, leading to better outcomes in areas, such as product development, marketing campaigns, and resource allocation. As businesses are seeking to gain a competitive edge and remain agile in fast-paced markets, the demand for data-driven insights is growing. Data monetization enables organizations to leverage their data assets to gain actionable insights, identify trends, and make informed decisions in real-time.
Technological advancements
Rapid progress in data processing, storage, and analytics technologies is opening new possibilities for organizations to extract value from their data assets. The advent of artificial intelligence (AI) and machine learning (ML) is revolutionizing data analysis. These technologies enable businesses to uncover hidden insights, predict future trends, and automate decision-making processes, which enhance the monetization potential of data. Big data platforms and cloud computing are making it more feasible for organizations to store and manage vast amounts of data cost-effectively. This scalability allows businesses to accumulate and leverage data on a larger scale, driving the need for data monetization strategies.
Increasing awareness of data value
The growing awareness among the masses about the value of data is offering a favorable market outlook. Organizations across various industries are increasingly recognizing that data is not just a byproduct of their operations but an asset with the potential to generate revenue and insights. This awareness stems from success stories where companies are monetizing their data, either through direct sales or by using it to enhance their products and services. Additionally, educational efforts, industry reports, and conferences focused on data monetization are contributing to spreading awareness.
IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the global, regional, and country levels for 2024-2032. Our report has categorized the market based on method, organization size, and end use.
Data as a Service
Insight as a Service
Analytics-enabled Platform as a Service
Embedded Analytics
Analytics-enabled platform as a service account for the majority of the market share
The report has provided a detailed breakup and analysis of the market based on the method. This includes data as a service, insight as a service, analytics-enabled platform as a service, and embedded analytics. According to the report, analytics-enabled platform as a service represented the largest segment.
Analytics-enabled platform as a service encompasses cloud-based platforms that offer a comprehensive suite of analytics tools and services. These platforms enable organizations to perform advanced data analysis, create data models, and develop custom applications to address specific business needs. PaaS providers often support both data integration and visualization, allowing businesses to streamline their data processes and gain valuable insights. This segment is favored by enterprises seeking a versatile and scalable analytics solution.
Data as a service involves the provision of raw data to organizations for various purposes, such as analysis, research, or integration into their systems. This segment caters to businesses that require access to external data sources to enrich their internal datasets. DaaS providers offer a wide range of data types, including demographic, market, and industry-specific data, to assist organizations in making data-driven decisions and enhancing their operations.
Insight as a service focuses on delivering actionable insights derived from data to organizations. This segment goes beyond providing raw data and offers pre-packaged or customized insights, often in the form of reports or dashboards. IaaS providers use advanced analytics and algorithms to extract meaningful conclusions from data, helping businesses identify trends, opportunities, and potential challenges.
Embedded analytics involves integrating analytical capabilities directly into existing software applications or business processes. This segment caters to organizations that want to enhance their products or services with data-driven features. Embedded analytics allows users to interact with data and gain insights seamlessly within their familiar work environments.
Large Enterprises
Small and Medium Enterprises
Large enterprises hold the largest share in the industry
A detailed breakup and analysis of the market based on the organization size have also been provided in the report. This includes large enterprises and small and medium enterprises. According to the report, large enterprises accounted for the largest market share.
Large enterprises have extensive data resources, advanced infrastructure, and dedicated teams to manage and leverage their data assets effectively. They often invest heavily in data monetization strategies, as they have the financial resources and scalability to implement comprehensive data analytics solutions. They use data monetization to drive operational efficiency, gain competitive advantages, and explore new revenue streams. Additionally, compliance and data governance are critical concerns for large enterprises, making data monetization solutions that ensure data security and regulatory compliance highly valuable.
Small and medium enterprises represent another significant segment in the data monetization market. While SMEs may have limited data resources compared to their larger counterparts, they are increasingly recognizing the importance of data-driven decision-making and revenue generation. Many SMEs are adopting data monetization strategies to remain competitive in their respective industries.
BFSI
E-commerce and Retail
IT and Telecommunications
Manufacturing
Healthcare
Energy and Utilities
Others
BFSI represents the leading market segment
The report has provided a detailed breakup and analysis of the market based on the end use. This includes BFSI, e-commerce and retail, IT and telecommunications, manufacturing, healthcare, energy and utilities, and others. According to the report, BFSI represented the largest segment as financial institutions deal with vast volumes of sensitive data, making data monetization crucial for enhancing consumer experiences, managing risks, and optimizing operations. In BFSI, data monetization enables personalized financial services, fraud detection, credit risk assessment, and compliance with regulatory requirements. The substantial data assets and high demand for data analytics make it a prime candidate for data monetization solutions.
E-commerce and retail constitute another significant segment in the data monetization market. These industries rely heavily on consumer data to personalize marketing, improve product recommendations, and optimize supply chain and inventory management. Data monetization in this sector enables businesses to boost sales, enhance consumer loyalty, and refine their pricing and promotional strategies.
The IT and telecommunications sector is a key player in the data monetization market. It generates vast amounts of data through network operations, customer interactions, and IoT devices. Data monetization solutions in this segment assist in network optimization, predictive maintenance, and improving the quality of services.
Manufacturing is an emerging segment in the data monetization market. Manufacturers are increasingly adopting data-driven approaches to enhance production efficiency, monitor equipment health, and predict maintenance needs.
The healthcare industry is recognizing the potential of data monetization to transform patient care, drug development, and healthcare operations. Data monetization in healthcare includes personalized treatment plans, predictive analytics for disease management, and optimizing resource allocation in healthcare facilities.
North America
United States
Canada
Asia-Pacific
China
Japan
India
South Korea
Australia
Indonesia
Others
Europe
Germany
France
United Kingdom
Italy
Spain
Russia
Others
Latin America
Brazil
Mexico
Others
Middle East and Africa
North America leads the market, accounting for the largest data monetization market share
The market research report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America accounted for the largest market share due to its advanced technological infrastructure, robust data privacy regulations, and a high level of awareness regarding the value of data. Organizations in North America, particularly in the United States, leverage data monetization to gain competitive advantages, improve consumer experiences, and drive innovations. The presence of numerous tech giants and a thriving startup ecosystem is catalyzing the demand for data monetization solutions and services in this region.
The Asia Pacific region is witnessing rapid growth in the data monetization market. Increasing digitization, a burgeoning e-commerce sector, and the adoption of advanced analytics are driving data monetization initiatives across various industries. Countries like China and India are becoming significant players in the market due to their large populations and growing tech-savvy consumer bases.
Europe represents a substantial segment in the data monetization market, characterized by a strong focus on data protection and privacy regulations, such as GDPR. European businesses are adopting data monetization to comply with these regulations while unlocking the potential of their data.
Latin America is emerging as a notable segment in the data monetization market. The expanding digital economy and increasing internet penetration are driving the demand for data monetization solutions. Latin American businesses are leveraging data monetization to improve marketing strategies, consumer targeting, and operational efficiency.
The Middle East and Africa represent a growing segment in the data monetization market. While this region is relatively nascent in terms of data monetization adoption compared to others, it is witnessing increased interest and investment in data-driven initiatives.
Key players in the market are innovating to offer comprehensive solutions and stay ahead in the competitive landscape. They are investing in advanced analytics, AI, and machine learning (ML) technologies to provide more powerful insights from data, enabling businesses to make better decisions. These companies are expanding their data monetization platforms to accommodate diverse data sources, both structured and unstructured, and offer real-time analytics capabilities. Additionally, they focus on data security and compliance, developing robust data governance frameworks to address privacy concerns and regulatory requirements. Collaborations and partnerships with other technology providers and industry-specific players are also common strategies to enhance their offerings and expand their reach in various sectors, such as finance, healthcare, and retail.
1010DATA (Advance Communication Corp.)
Accenture Plc
Adastra Corporation
Comviva (Tech Mahindra)
Infosys Limited
International Business Machines Corporation
Monetize Solutions Inc.
Optiva Inc.
Paxata Inc. (Datarobot Inc.)
Reltio
SAP SE
Thales Group
TIBCO Software Inc.
(Please note that this is only a partial list of the key players, and the complete list is provided in the report.)
January 26, 2022: Optiva Inc., a leading provider of mission-critical, cloud-native monetization and revenue management software, announced a multi-year strategic partnership with Google Cloud to help telecom operators and service providers accelerate their digital transformations and journey to the cloud, private and public, and deployment on the edge. Through this collaboration with Google Cloud, Optiva customers can purchase its flagship products, Optiva BSS Platform and Optiva Charging Engine, via Google Cloud Marketplace as a SaaS solution.
August, 2021: Adastra, a leading Global Data and Analytics solutions provider, and PaymentComponents, a global leader in B2B payments and fintech solutions, entered into a strategic alliance to enable open banking and payments capabilities in Canada and the USA.
December 18, 2023: International Business Machines Corporation announced that it has entered into a definitive agreement with Software AG, a company majority owned by Silver Lake, to purchase StreamSets and webMethods, Software AG's Super integration platform-as-a-service (iPaaS) enterprise technology platforms. The acquisition of StreamSets and webMethods is further evidence of IBM's deep focus and investment in AI and hybrid cloud.