Digital Asset Management MarketDevelopment by Companies Outlook, Growth Prospects and Key Opportunities by 2033
The global market for digital
asset management is projected to grow quickly at a CAGR of 10.3% over
the forecast period, growing from a valuation of US$ 4.3 billion in 2022 to US$
11.4 billion by 2032.
The industry for digital asset management is expected to
grow as a result of increased digitalization of content, the need for efficient
corporate asset collaboration, the introduction of cloud-based delivery
options, and the rising demand for greater protection and restricted access to
digital assets to avoid copyright issues.
Furthermore, the rising demand for data integrity and the
growing trend of integrating encryption technologies with digital solutions to
facilitate safe digital commerce are projected to provide sufficient prospects
for a rise in the sales of digital asset management.
Digital asset management adoption has been boosted by
the growing demand for collaborative digital workflow, particularly for
marketing and sales activities. The increased need for digital
asset protection to avoid copyright concerns is driving the demand
for digital asset management systems.
The demand for bettering digital assets while lowering
operational expenses is projected to propel the digital asset
management market size forward.
Although digital asset management solutions have
numerous advantages, the initial deployment and lifetime license expenses for
managing digital assets should not be overlooked. Although the
overall cost of a digital asset management license and implementation
rises as the number of users per account and storage capacity grows.
Furthermore, many SMEs are hesitant to use digital
asset management systems due to the uncertainty around support
service costs, digital asset management limits, and other minor capabilities.
As per the recent digital asset management market
study by Persistence Market Research, while selecting digital asset
management solutions, businesses search for AI and machine learning
capabilities. Companies can use AI-based digital asset
management solutions to automate image tagging, which is the process of
assigning keywords or information to digital assets, including files, images,
text, and videos, based on what they contain.
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