Deep Tech Market Surges to US$ 3,733.8 Million by 2032 with a Remarkable CAGR of 21.8% | FMI

Deep Tech Market

The report states that the deep tech market is set to reach the valuation of US$ 518.2 Mn by the end of 2022. As per FMI, self-service, repackaging business capabilities, anywhere-running automation, any cloud, and utilizing any language for any competence would enable business users, technical teams, and non-technical team members to address their problems in a decentralized manner.

Businesses frequently produce repetitious material, whether it is press releases, product notes, opinions on hot topics, or quarterly financial reports. Natural Language Generation (NLG) will be useful in producing such repetitious content, and a human copywriter’s job will be to provide the brand communication’s tone and tenor a unique touch. In the future, NLG will produce more and more information on a consistent basis, requiring just minor manual editing to conform to organizational needs.

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Key Takeaways: Deep Tech Market

  • By technology, the robotics segment is expected to grow at a CAGR of 21.4% in the global demand for deep tech during the forecast period 2022-2032.
  • By enterprises size, the adoption of deep tech solution in SMEs is anticipated to grow at a CAGR of 14.6% between 2022 & 2032.
  • By end user, the adoption of deep tech solution in healthcare industry is anticipated to grow at a CAGR of 17.3% between 2022 & 2032.
  • North America is expected to lead the market followed by Europe in 2022. South Asia & Pacific is anticipated to emerge as the fastest growing region between 2022 & 2032.

“A.I. labs and engineering teams will advance from developing specialized, consumable models to developing platforms and models that are more broadly applicable. With regard to solving wicked issues like text summarization, medical note parsing, text to picture, and many other things, the new generation of generalized models will make considerable strides. This is expected to fuel the demand for deep tech globally during the forecast period” says FMI analyst.”

Implementation of AI in Synthetic Biology

Particularly when it comes to applications that rely on sequential data, like DNA sequence information, neural networks (used in AI) have been found to be quite effective. Bio manufacturing businesses, like Zymergen, are harnessing protein structures from microorganisms (such organisms like E. coli), such as those developed by DeepMind, a software company to create things using biology. It is envisaged that the DeepMind data would be utilized for “synthetic biology,” such as the development of bacteria that can more effectively synthesize novel compounds and materials.

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More Valuable Insights on Deep Tech Market

FMI’s report on the deep tech industry research is segmented into four major sections – by technology (Big Data, Artificial Intelligence and Machine Learning, language processing, Robotics, Vision and speech algorithm, quantum computing, and others), enterprises size (SMEs and large enterprises), end user (BFSI, IT & Telecommunication, automotive, healthcare, agriculture, and others), and region (North America, Latin America, Europe, East Asia, South Asia & Pacific, and Middle East & Africa), to help readers understand and evaluate lucrative opportunities in the deep tech demand outlook.

About Electronics, Semiconductor and ICT Division at Future Market Insights

Expert analysis, strategic recommendations and actionable insights- the electronics, semiconductors, and ICT team at Future Market Insights helps clients from all over the globe with their unique business intelligence needs. With a repository of over 500 reports on electronics, semiconductors, & ICT, of which 100+ reports are specifically on software, the team provides end-to-end research and analysis on regional trends, drivers for market growth, and research development efforts in the electronics, semiconductors, and ICT industry.

Deep Tech Outlook by Category

By Technology:

  • Big Data
  • Artificial Intelligence and Machine Learning
  • Language Processing
  • Robotics
  • Vision and Speech Algorithm
  • Quantum Computing
  • Others

By Enterprise Size:

By End User:

  • BFSI
  • IT & Telecommunication
  • Automotive
  • Healthcare
  • Agriculture
  • Others

By Region:

  • North America
  • Latin America
  • Europe
  • East Asia
  • South Asia & Pacific
  • Middle East and Africa (MEA)

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Author:

Sudip Saha is the managing director and co-founder at Future Market Insights, an award-winning market research and consulting firm. Sudip is committed to shaping the market research industry with credible solutions and constantly makes a buzz in the media with his thought leadership. His vast experience in market research and project management a consumer electronics will likely remain the leading end-use sector cross verticals in APAC, EMEA, and the Americas reflects his growth-oriented approach to clients.

He is a strong believer and proponent of innovation-based solutions, emphasizing customized solutions to meet one client’s requirements at a time. His foresightedness and visionary approach recently got him recognized as the ‘Global Icon in Business Consulting’ at the ET Inspiring Leaders Awards 2022.

About Future Market Insights (FMI)

Future Market Insights, Inc. (ESOMAR certified, recipient of the Stevie Award, and a member of the Greater New York Chamber of Commerce) offers profound insights into the driving factors that are boosting demand in the market. FMI stands as the leading global provider of market intelligence, advisory services, consulting, and events for the Packaging, Food and Beverage, Consumer Technology, Healthcare, Industrial, and Chemicals markets. With a vast team of over 5000 analysts worldwide, FMI provides global, regional, and local expertise on diverse domains and industry trends across more than 110 countries.

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About the Author

Nikhil Kaitwade

Associate Vice President at Future Market Insights, Inc. has over a decade of experience in market research and business consulting. He has successfully delivered 1500+ client assignments, predominantly in Automotive, Chemicals, Industrial Equipment, Oil & Gas, and Service industries.
His core competency circles around developing research methodology, creating a unique analysis framework, statistical data models for pricing analysis, competition mapping, and market feasibility analysis. His expertise also extends wide and beyond analysis, advising clients on identifying growth potential in established and niche market segments, investment/divestment decisions, and market entry decision-making.
Nikhil holds an MBA degree in Marketing and IT and a Graduate in Mechanical Engineering. Nikhil has authored several publications and quoted in journals like EMS Now, EPR Magazine, and EE Times.

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