According to a new report from Intel Market Research, the global Drug Dispensing Robot market was valued at USD 2.85 billion in 2024 and is projected to reach USD 5.18 billion by 2031, growing at a robust CAGR of 9.1% during the forecast period spanning 2025 to 2031, reflecting a total absolute growth of USD 2.33 billion. This growth trajectory is fueled by escalating demand for pharmacy automation, intensifying focus on medication error reduction, and substantial healthcare infrastructure development worldwide.
Read MoreAccording to new market intelligence from Intel Market Research, the global Autonomous Surface Vessels (6 to 24 ft) market was valued at US$ 184.68 million in 2023 and is projected to reach US$ 520.96 million by 2030, expanding at an impressive CAGR of 15.48% during the forecast period (2024-2030). This growth trajectory reflects accelerating maritime automation across defense, commercial, and research sectors where unmanned vessels are transforming traditional operations.
Read MoreAccording to a new report from Intel Market Research, the global pulmonary drug delivery systems market was valued at USD 30.18 billion in 2024 and is projected to reach USD 40.90 billion by 2032, growing at a stable CAGR of 4.5% during the forecast period (2025–2032). This growth is propelled by the increasing global prevalence of chronic respiratory diseases, technological advancements in device design, and the growing preference for non-invasive drug delivery methods over traditional injections.
Read MoreAs global infrastructure accelerates, industrialization deepens, and automation trends advance, lifting equipment remains foundational for construction, manufacturing, logistics, and warehousing sectors.
Read MoreAccording to a new report from Intel Market Research, the global Auto Labeler (Print & Apply System) market was valued at USD 504.0 million in 2024 and is projected to reach USD 666.0 million by 2032, growing at a robust CAGR of 4.2% during the forecast period (2024–2032). This sustained expansion is primarily driven by the critical need to enhance operational responsiveness and data integrity across increasingly complex supply chain networks, where manual processes simply cannot deliver the required performance levels.
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