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Medtech Business Review | Wednesday, October 19, 2022
Although the medtech sector faced hurdles in the past few years, prospects for this year are still optimistic. Structured acquisitions, innovative and imaginative R&D funding strategies, and portfolio reassessments that result in divestitures will all be significant themes in the M&A toolkit in 2023.
FREMONT, CA: Despite pressure to cut expenses, tightening budgets, and increase margins, R&D spending keeps rising. By the end of 2022, R&D spending in the life sciences sector was predicted to reach 2.5 trillion USD, a rise of 5.5 per cent from 2021 levels.
Market barriers like increased financing costs brought on by inflation or competition pressure from generic drugs as a result of the patent cliff could slow down innovation. In the midst of these obstacles, R&D organisations can develop a competitive advantage for firms and can lead the graph of growth. By building a culture and agile decision-making R&D should actively support this position.
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In 2023, R&D innovation will continue to drive life sciences businesses.
Regardless of hindrances in the market that are influencing investment and development choices (such as the existing incentives for large-molecule vs. small-molecule pharmaceuticals), life sciences organisations must prioritise research and development if they want to succeed. In 2023, businesses will be able to streamline and accelerate the pace of innovation by concentrating on the digital transformation of R&D functions and implementing AI/ML technology.
Accelerate R&D through Artificial Intelligence and Machine Learning
Mergers and Acquisitions activity in the life sciences sector is anticipated to continue in spite of concerns about a potential recession and offers methods to boost R&D through new technologies. Notwithstanding the difficulties, life sciences organisations can continue to promote innovation in R&D by acquiring key technologies and collaborating across industries.
Clinical Trials Decentralised
The drive to decentralise the clinical trial process is rising as the time and cost to bring new drugs to market increases. Artificial intelligence, machine learning, and remote monitoring are enabling companies to build flatter R&D organisations, resulting in more agile decision-making and a more fluid drug-development process.
Drive Digital Transformation
Life science companies have become faster, more productive and leaner owing to technological advances even though they had to face challenges like increasing patient expectations, new diseases, and changing regulatory environments. Firms can streamline processes, build more resilient supply chains, and businesses can make decisions more quickly and more effectively with digital transformation.
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