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Last Updated: Apr 25, 2025 | Study Period: 2022-2027
The cloud PIM, also known as a PIM throughout the online, is product information management technology that may be delivered over the Internet or via an app.
Because of the cloud architecture, the PIM software does not need to be installed or downloaded on most of the client's devices.
It's also pointless want the specified own storage capacity when cloud platforms like Amazon Web Services (AWS) or Google safely keep the company's product information. As a result, the service may be accessed from any device or location.
Organizations in a variety of industries are recognising the need for a solution that can help with product data curation and management. This really is due to the fact that businesses are trying to obtain an edge over its competitors in the rapidly changing digital economy.
While there are numerous programs, complicated ascribe modelling techniques, endless aisles (inbound or overland), numerous product power structures, advanced user designs,
direct to customer (DTC) commercial transactions, and traditional enterprise systems are becoming costly to maintain, integrated business management methods are generally necessary.
Organizations are leaning towards investing in PIM, fuelling the development of the sector, since the industry is quickly evolving, and rivals offer sophisticated capabilities.
Even B2C and B2B clients are seeking more persuasive, seamless, and customised transaction experiences inside the digitalization. To maximise the story being presented around their products, retailers, manufacturers, and brands must offer correct product information to all
of their channels of distribution. Thereby, the Product information management (PIM) technology is a critical tool for businesses to increase brand awareness efficiently across several channels of consumer contact.
Extract information relevant to any commodity is achievable using PIM without jeopardising adherence or quality management.
The increased requirement for genuine insight into data to decrease Time to Market as well as the increasing need to eliminate knowledge anomalies across numerous data silos were likely to stimulate the demand of such product information management industry.
IBM is a leading mobiliser of the PIM technology in the market. The Product Information Management (PIM) and collaborative Master Data Management (MDM) features are provided by IBM Product Master.
It produces an accurate and up-to-date library of product and service knowledge that may be utilised for critical commercial activities throughout a company.
It generates an accurate and up-to-date database of customer experience data that can be utilized across businesses to support specific business objectives.
Oracle Inc. is part of the component manufacture trending companies in the current industry. The ability to synchronise ideation and commercialization is enabled by product data expertise (I2C).
A contemporary PIM system will work in tandem with systems for ideation and manufacturing activities, application development, including PLM/PDM technologies to give information about new products beginning of the product lifetime.
It will guarantee that all ERP and distribution network platforms for processing and manufacturing receive richer and reliable product labels.
| Sl no | Topic |
| 1 | Market Segmentation |
| 2 | Scope of the report |
| 3 | Abbreviations |
| 4 | Research Methodology |
| 5 | Executive Summary |
| 6 | Introduction |
| 7 | Insights from Industry stakeholders |
| 8 | Cost breakdown of Product by sub-components and average profit margin |
| 9 | Disruptive innovation in the Industry |
| 10 | Technology trends in the Industry |
| 11 | Consumer trends in the industry |
| 12 | Recent Production Milestones |
| 13 | Component Manufacturing in US, EU and China |
| 14 | COVID-19 impact on overall market |
| 15 | COVID-19 impact on Production of components |
| 16 | COVID-19 impact on Point of sale |
| 17 | Market Segmentation, Dynamics and Forecast by Geography, 2022-2027 |
| 18 | Market Segmentation, Dynamics and Forecast by Product Type, 2022-2027 |
| 19 | Market Segmentation, Dynamics and Forecast by Application, 2022-2027 |
| 20 | Market Segmentation, Dynamics and Forecast by End use, 2022-2027 |
| 21 | Product installation rate by OEM, 2022 |
| 22 | Incline/Decline in Average B-2-B selling price in past 5 years |
| 23 | Competition from substitute products |
| 24 | Gross margin and average profitability of suppliers |
| 25 | New product development in past 12 months |
| 26 | M&A in past 12 months |
| 27 | Growth strategy of leading players |
| 28 | Market share of vendors, 2022 |
| 29 | Company Profiles |
| 30 | Unmet needs and opportunity for new suppliers |
| 31 | Conclusion |
| 32 | Appendix |
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