Data Preparation Industry Innovation Report 2023-2030: Case Studies
Table Of Contents
Data Preparation Industry Data Book | Forecast 2030
Data Preparation Industry Data Book – Data Collection and Labelling, Data Labelling Solutions and Services & Data Integration Market
Grand View Research’s data preparation industry data book is a collection of market sizing information & forecasts, competitive benchmarking analyses, macro-environmental analyses, and regulatory & technological framework studies. Within the purview of the database, all such information is systematically analyzed and provided in the form of presentations and detailed outlook reports on individual areas of research.
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Data Collection And Labeling Market Report Highlights
Automated image organization offered by cloud-based applications and telecom companies is one of the most popular uses of data gathering that has improved the user experience and draws the attention of customers toward this technology
Several benefits, such as better security and automation of identification, encourage the implementation of facial recognition at significant public spaces or events
The advent of large-scale cloud-hosted AI and machine learning platforms offered by tech giants has led to the implementation of data annotation with multiple functions, such as facial recognition, object recognition, and landmark detection
The growing integration of digital image processing and mobile computing platforms in various digital shopping and document verification applications is propelling the market growth
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Data Labeling Solution And Services Market Report Highlights
In terms of type, the image & video annotation segment is expected to contribute significant revenue to the market over the forecast period. This growth is attributed to the increasing implementation of computer vision in several industries, including healthcare, automotive, and media & entertainment
In terms of vertical, the automotive segment is expected to grow at the prominent CAGR over the forecast period owing to rising development of self-driving cars and trucks
The key players in the market are Alegion, Appen Ltd., Cogito Tech LLC, Deep Systems LLC, Labelbox Inc., Edgecase, Labelbox, Inc., Clickworker GmbH, CloudApp CloudFactory Limited, Playment Inc., Mighty AI, Inc., Scale AI Inc., Shaip, Tagtog Sp. z o.o., Trilldata Technologies Pvt Ltd. among others
Data Integration Market Report Highlights
The North America market dominated the global market in 2022. However, Asia Pacific is projected to register the highest CAGR from 2023 to 2030
Some regions in North America have the most competitive and constantly changing and rising technology improvements in the market. The rising number of data integration businesses globally is projected to support market expansion
The large enterprise segment dominated the market in 2022 and accounted for a revenue share of over 67%
Large enterprises are scaling their infrastructure to meet remote workers’ needs and unique demands. Enterprises also maintain infrastructural support for their services and goods
The cloud segment is anticipated to register the highest CAGR over the forecast period. Organizations can store essential resources in the cloud and access various customizable data integration options
The marketing segment led the market in 2022 accounting for over a share of 32% of the global revenue. Data integration is essential for marketers to understand their customers better and target their marketing campaigns more effectively
Competitive Landscape
The market participants are implementing several organic and inorganic growth strategies, including new product launches, product modernizations, collaborations, corporate expansions, and acquisitions and mergers. For instance, in May 2022, Informatica Inc. announced a partnership with the Oracle enterprise connectivity and automation platform which offers modernized data, applications, APIs, and business processes. The collaboration aims to provide cloud data governance and integration solutions for data warehouses, enterprise analytics, and data science. The customer base of Oracle and Informatica will be automating their data by shifting on-premises workloads to a cloud-based platform. In addition, they will be capable to use their investments and expertise while gaining insights from reliable data at scale.