Product lifecycle management (PLM) is a method of managing a product throughout its lifetime including maintenance, development, production, and recycling phases. PLM is crucial in enterprises that support the concept, design & engineering, management of product portfolios, and cost optimization. It allows effective collaborative working at every stage, enhancing the way the entire business operates. Currently, product-oriented industries such as manufacturing and pharmaceutical are facing challenges such as increased competition and demand for product customization, in order to cater to specific individual needs and comply with stringent industry regulations.
Product lifecycle management refers to the handling of products as it moves through its product life, which includes: growth, maturity, and decline. Product lifecycle management can help manufacturers in decision-making from pricing to promotion. Product lifecycle management software can manage and transfer information effectively throughout the entire lifecycle of the product effectively. Product lifecycle management software is majorly getting adopted in various industries such as consumer electronics, industrial machinery, and packaged foods.
Market Dynamics:
Product lifecycle management is majorly getting adopted across various end use industries such as healthcare, manufacturing, and consumer electronics. PLM can easily manage information related to production, product development, and delivery process, through which the manufacturer can reduce operational and manufacturing costs, which in turn increases the profit. For instance, in December 2022, according to India Brand Equity Foundation (IBEF), under the ‘Make in India’ scheme, the central government of India is focusing to increase the share of the manufacturing sector up to 25% of countries GDP by the year 2025, which is expected to boost the demand for product lifecycle management over the forecast period.
The high initial cost of product lifecycle management is expected to hamper the growth of PLM over the forecast period
Key features of the study:
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