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Demand for Global AI for Drug Discovery Market Size to Surpass USD 5124.55 Million Growth by 2028, Exhibit a CAGR of 45.10% | AI for Drug Discovery Industry Trends, Share, Value, Analysis & Forecast Report by Facts & Factors

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NEW YORK, United States, Aug. 08, 2022 (GLOBE NEWSWIRE) — According to Facts and Factors has published a new research report titled “AI for Drug Discovery Market Size, Share, Growth Analysis Report By Offering (Software and Services), By Technology (Machine Learning, Deep Learning, Unsupervised Learning, Supervised Learning, Reinforcement Learning, Other Machine Learning Technologies and Other Technologies), By Application (Immuno-oncology, Neurodegenerative diseases, Cardiovascular diseases, Metabolic diseases and Other Applications), By EndUser (Pharmaceutical &Biotechnology Companies, Contract Research Organisations and Research Centers and Academic & Government Institutes), and By Region- Global and Regional Industry Insights, Overview, Comprehensive Analysis, Trends, Statistical Research, Market Intelligence, Historical Data and Forecast 2022 – 2028” in its research database.

“According to the latest research study, the demand of global AI for Drug Discovery Market size & share in terms of revenuewas valued at USD 549.10 Million in 2021 and it is expected to surpass around USD 5124.55 Million mark by 2028, growing at a compound annual growth rate (CAGR) of approximately 45.10% during the forecast period 2022 to 2028.”

What is AI for Drug Discovery? How big is the AI for Drug Discovery Industry?

Report Overview:

Artificial intelligence (AI) for drug discovery employs machines to simulate human intelligence to solve complicated issues in the drug development process. It assists the pharmaceutical industry in identifying therapeutic targets, developing specialized medications, and finding novel compounds. The market’s growth rate will be significantly impacted by the increase in cross-industry alliances and collaborations. Owing to the rise in demand for AI for Drug Discovery, the global AI for Drug Discovery market is estimated to grow at a CAGR of 45.10% during the forecast period.

Click Here To Access Free Sample Report of the Global AI for Drug Discovery Market @ https://www.fnfresearch.com/sample/ai-for-drug-discovery-market

(A free sample of this report is available upon request; please contact us for more information.)

Our Free Sample Report Consists of the Following:

  • Introduction, Overview, and in-depth industry analysis are all included in the 2022 updated report.
  • The COVID-19 Pandemic Outbreak Impact Analysis is included in the package
  • About 200+ Pages Research Report (Including Recent Research)
  • Provide detailed chapter-by-chapter guidance on Request
  • Updated Regional Analysis with Graphical Representation of Size, Share, and Trends for the Year 2022
  • Includes Tables and figures have been updated
  • The most recent version of the report includes the Top Market Players, their Business Strategies, Sales Volume, and Revenue Analysis
  • Facts and Factors research methodology

(Please note that the sample of this report has been modified to include the COVID-19 impact study prior to delivery.)

Global AI for Drug Discovery Market: Dynamics

Artificial intelligence has been heavily utilized in healthcare, particularly when looking for new medications. It can recognize therapeutic targets and contributes significantly to the rapid identification, development, detection, and screening of small compounds. Due to the advantages of adopting these cutting-edge techniques over traditional procedures, the market is anticipated to rise exponentially throughout the forecast period. Artificial intelligence speeds up market expansion by cutting the time and money spent on medication discovery. Manufacturers in the artificial intelligence for drug discovery and development market should anticipate benefiting significantly from the rise in artificial intelligence awareness. However, the market’s expansion is hampered by a lack of experienced individuals and data sets in the field of drug discovery.

Directly Purchase a copy of the report with TOC @ https://www.fnfresearch.com/buynow/su/ai-for-drug-discovery-market

AI for Drug Discovery Market: COVID-19 Impact Analysis

The COVID-19 epidemic had a favourable effect on the growth of the drug discovery industry due to the widespread use of artificial intelligence by a number of companies for the identification and screening of already available medications used to treat COVID-19. It has been established that artificial intelligence (A.I.) is effective in identifying chemicals that are active in preventing numerous viruses, such as SARS-CoV, HIV, SARS-CoV-2, influenza, and others.

AI for Drug Discovery Market: SegmentationAnalysis

The Global AI for Drug Discovery Market is segregated based on offering, technology, application, end-user, and region. Based on offering, the market is divided into Software and Services. Among these, the Services segment will dominate the market in 2021. Based on technology, the market is divided into Machine Learning, Deep Learning, Unsupervised Learning, Supervised Learning, Reinforcement Learning, Other Machine Learning Technologies and Other Technologies. Over the forecast period, the Deep Learning segment is expected to develop at the fastest rate in 2021.

Based on application, the market is divided into Immuno-oncology, Neurodegenerative diseases, cardiovascular diseases, metabolic diseases and Other Applications. Over the forecast period, the Neurodegenerative diseases segment is expected to develop at the fastest rate in 2021. Based on end-user, the market is divided into Pharmaceutical & biotechnology companies, contract research organizations, research centres, and academic & government institutes. Over the forecast period, the Pharmaceutical & Biotechnology segment is expected to develop fastest in 2021.

The global AI for Drug Discovery market is segmented as follows:

By Offering

  • Software
  • Services

By Technology

  • Machine Learning
  • Deep Learning
  • Supervised Learning
  • Reinforcement Learning
  • Unsupervised Learning
  • Other Machine Learning Technologies
  • Other Technologies

By Application

  • Immuno-oncology
  • Neurodegenerative Diseases
  • Cardiovascular Diseases
  • Metabolic Diseases
  • Other Applications

By End User

  • Pharmaceutical & Biotechnology Companies
  • Contract Research Organizations
  • Research Centres and Academic & Government Institutes

Browse the full “AI for Drug Discovery Market – Global and Regional Industry Insights, Overview, Comprehensive Analysis, Trends, Statistical Research, Market Intelligence, Historical Data and Forecast 2022 – 2028” Report at https://www.fnfresearch.com/ai-for-drug-discovery-market

Competitive Landscape

Some of the main competitors dominating the global AI for Drug Discovery market include – 

  • Atomwise Inc. (U.S.)
  • BenevolentAI (U.K.)
  • NuMedii (U.S.)
  • BERG LLC (U.S.)
  • Cloud Pharmaceuticals (U.S.)
  • Microsoft (U.S.)
  • Insilico Medicine (U.S.)
  • Cyclica (Canada)
  • NVIDIA Corporation (U.S.)
  • Google (U.S.)
  • Exscientia (U.K.)
  • Schrödinger (U.S.)
  • Deep Genomics (Canada)
  • IBM (U.S.)
  • BIOAGE (U.S.)
  • twoXAR (U.S.)
  • Owkin Inc. (U.S.)
  • XtalPi (U.S.)
  • Valo Health (U.S.)
  • Envisagenics (U.S.)
  • Verge Genomics (U.S.)
  • Biovista (U.S.)
  • Standigm (South Korea)
  • Evaxion Biotech (Denmark)
  • Iktos (France)
  • BenchSci (Canada)

Key Insights from Primary Research:

  • According to the analysis shared by our research forecaster, the AI for Drug Discovery market is likely to expand at a CAGR of around 45.10% during the forecast period (2022-2028).
  • In terms of revenue, the AI for Drug Discovery market size was valued at around US$ 549.10 Million in 2021 and is projected to reach US$ 5124.55 Million by 2028.
  • Over the forecast period, the Deep Learning segment is expected to develop at the fastest rate in 2021.
  • Neurodegenerative diseases segment is expected to develop at the fastest rate in 2021.
  • North America is expected to dominate Artificial Intelligence (AI) in Drug Discovery Market in 2021. The United States has been at the forefront of A.I. technology since its inception.

Key questions answered in this report:

  • What is the market size and growth rate forecast for AI for Drug Discovery industry?
  • What are the main driving factors propelling the AI for Drug Discovery Market forward?
  • What are the leading companies in the AI for Drug Discovery Industry?
  • What segments does the AI for Drug Discovery Market cover?
  • How can I receive a free copy of the AI for Drug Discovery Market sample report and company profiles?

Key Offerings:

  • Market Size & Forecast by Revenue | 2022−2028
  • Market Dynamics – Leading Trends, Growth Drivers, Restraints, and Investment Opportunities
  • Market Segmentation – A detailed analysis by Offering, Technology, Application, End User, and Region
  • Competitive Landscape – Top Key Vendors and Other Prominent Vendors

Request for Customization on this Report as per your requirements – https://www.fnfresearch.com/customization/ai-for-drug-discovery-market

(We tailor your report to meet your specific research requirements. Inquire with our sales team about customising your report.)

Regional Analysis:                                                                             

North America is expected to dominate the Global AI for Drug Discovery Market in 2021. Since the beginning of AI technology, the US has been at the forefront. Major IT companies in the US have all teamed with prestigious schools to speed up medicine research, design, and repurposing. They are also using AI to research diseases and come to pertinent conclusions that can improve disease management. North America is home to several notable AI technology providers and prominent start-up businesses.

Over the forecast period, the Asia Pacific regional market is expected to grow significantly in 2021. Asia-Pacific developing nations are embracing AI to comprehend ailments and facilitate the creation of new drugs. For example, intuition Systems, an AI business in India, has partnered with Lantern Pharma to identify biomarkers and find new drugs. Similar AI businesses like Niramai and Sigtuple focus on enhancing healthcare through quicker medication discovery and improved target protein and biomarker identification.

By Region

  • North America
    • U.S.
    • Canada
    • Rest of North America
  • Europe
    • France
    • UK
    • Spain
    • Germany
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Rest of Asia Pacific
  • The Middle East & Africa
    • Saudi Arabia
    • South Africa
    • Rest of the Middle East & Africa
  • Latin America
    • Brazil
    • Argentina
    • Rest of Latin America

Recent Developments

  • In July 2021, the machine learning operating platform Chief AI announced the debut of a pay-as-you-go AI platform for drug discovery. This platform enables SMEs to acquire affordable access to advanced technology, reducing the hit-or-miss nature of drug development and identifying breakthrough treatments with increased speed and precision.
  • In February 2021, Exscientia (UK) and the University of Oxford partnered to explore Alzheimer’s disease treatments.

Report Scope

Report Attribute Details
Market Size in 2021 USD 549.10 Million
Projected Market Size in 2028 USD 5124.55 Million
CAGR Growth Rate 45.10% CAGR
Base Year 2021
Forecast Years 2022-2028
Key Market Players Atomwise Inc. (U.S.), BenevolentAI (U.K.), NuMedii (U.S.), BERG LLC (U.S.), Cloud Pharmaceuticals (U.S.), Microsoft (U.S.), Insilico Medicine (U.S.), Cyclica (Canada), NVIDIA Corporation (U.S.), Google (U.S.), Exscientia (U.K.), Schrödinger (U.S.), Deep Genomics (Canada), IBM (U.S.), and Others
Key Segment By Offering, Technology, Application, End User, and Region
Major Regions Covered North America, Europe, Asia Pacific, Latin America, and the Middle East & Africa
Purchase Options Request customized purchase options to meet your research needs.

To know an additional revised 2022 list of market players, request a sample report: https://www.fnfresearch.com/sample/ai-for-drug-discovery-market

Browse Other Related Research Reports from Facts & Factors:

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About Facts & Factors:

Facts & Factors is a leading market research organization offering industry expertise and scrupulous consulting services to clients for their business development. The reports and services offered by Facts and Factors are used by prestigious academic institutions, start-ups, and companies globally to measure and understand the changing international and regional business backgrounds.

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Artificial Intelligence

Elevate Your Virtual Reality Experience with KIWI design RGB Vertical Stand, Now Available on Meta’s Website

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LOS ANGELES, May 11, 2024 /PRNewswire/ — Top-tier VR accessories provider KIWI design has launched its latest product, the RGB Vertical Stand. This Meta-authorized accessory, designed to deepen users’ immersion in the metaverse, is now available on the official Meta website.

“KIWI design’s commitment to pushing the boundaries of virtual reality accessories takes another leap forward with the introduction of our new products,” said Ray,the CEO of KIWI design. “We are always dedicated to bringing innovative upgrades to VR device accessories, with the goal of enriching users’ virtual reality experiences.”
The newly launched RGB Vertical Stand features a user-friendly modular design with push-in assembly, making it easy to set up and use. It is compatible with Meta Quest 3, Quest 2, and Quest Pro, ensuring widespread usability. With a magnetic USB Type-C connector, it provides an effortless way to charge and display your headset. Users can also customize their display with 16 pre-set ambient multicolor RGB light options.
With VR technology constantly evolving, users are seeking more immersive experiences. As a leading manufacturer of VR accessories, KIWI design is committed to enhancing the user experience, through unique product designs. Since its establishment in 2015, KIWI design has acquired over 100 patents and has a diverse product lineup, including head straps, facial interfaces, VR stands, charging accessories, and controller grip covers.
KIWI design has also actively participated in the Made for Meta program, which is provided by Meta to strengthen its partnerships with leading brands to deliver accessories that enhance Meta products with more choice and a richer experience for everyone. KIWI design’s participation in this program validates its high-quality design standards.
The RGB Vertical Stand for Meta Quest 3, Quest 2, and Quest Pro and another specially designed authorized charging dock for the Meta  Oculus Quest 2 are now available for purchase on both KIWI design’s website and Amazon. For more information about our brand and products, please visit our website and follow KIWI design on Facebook, Instagram, X, YouTube and TikTok.
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Artificial Intelligence

WIO Taps Gracenote to Revolutionize Television Broadcast Reporting

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LOS ANGELES, May 11, 2024 /PRNewswire/ — WIO LLC, parent company of the global TV broadcast airings platform, WIOpro™, has announced a new strategic agreement with Gracenote, the global content data business unit of Nielsen, to address the longstanding challenge of accurately tracking and collecting music royalties generated by broadcast television and digital programming, With this agreement, WIO will integrate Gracenote TV program metadata and show airings into its WIOpro™ (“When’s It On – Professional”) platform enabling performance rights organizations, copyright management organizations and other entities to better monitor broadcast schedules and identify when royalties have been earned.

By integrating Gracenote historical program data into WIOpro’s new LookBack™ feature, WIO is enhancing its reporting capabilities and empowering Collection Societies, Rights Management Companies and the royalty-earning community to more easily monitor and export broadcast airings and better understand collections opportunities.
“At WIO, we are committed to empowering collection societies and copyright holders around the world with our platform tools and unprecedented access to the best and most accurate television broadcast and streaming data available,” said Shawn Pierce, Co-Founder and CEO of WIO LLC. “We have enjoyed an incredible relationship with Gracenote for 10 years. With the solidification of this agreement, we are able to deliver an unrivaled dataset to the royalty and residual community in a way that has not been offered before.” said Adam Shafron, Co-Founder and CTO of WIO LLC.
“WIO’s platform developed to solve the difficult matter of royalty tracking only becomes more powerful based on the integration of accurate, timely and comprehensive Gracenote metadata,” said Scott Monahan, Director, Strategic Partnerships, Gracenote. “We look forward to the combination of WIOpro’s technology and Gracenote’s program metadata delivering on the promise of transforming music royalty collection so that rights holders can be fairly compensated for use of their work.”
WIO and Gracenote will be at the MusicBiz 2024 conference in Nashville, TN May 13 – 16. Contact Dave Pelman, COO of WIO LLC at [email protected] for media queries or to book an appointment for a product demonstration.
About WIO:WIO is a technology company dedicated to providing broadcast television and digital programming data tailored specifically for the royalty and residual collection industry. Through its platform WIOpro (wiopro.com), users obtain access to real-time broadcast insights, reporting and curated data delivery.
About Gracenote:Gracenote is the content data business unit of Nielsen providing entertainment metadata, connected IDs and related offerings to the world’s leading creators, distributors and platforms. Gracenote enables advanced content navigation and discovery capabilities helping individuals easily connect to the TV shows, movies, music, podcasts and sports they love while delivering powerful content analytics making complex business decisions simpler.
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IDTechEx Explores Printed Electronics in Electrified and Autonomous Mobility

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BOSTON, May 10, 2024 /PRNewswire/ — Electrification, autonomy, and vehicle ownership saturation are causing a technological revolution in the automotive sector. These automotive meta-trends are driving drastic changes in electronic component requirements and present a high-volume opportunity for printed electronics to capitalize on.

Historically, printed electronics technologies have nurtured a close relationship with the automotive sector, with printed force sensors pioneering passenger safety through seat occupancy and seatbelt detection. As such, the automotive sector continues to represent the lion’s share of the global printed and flexible sensor market, which IDTechEx’s report on the topic evaluates as worth US$421M in 2024. However, if the automotive sector is to continue to be a reliable revenue stream, printed electronics technology providers must adapt to address the emerging technical challenges facing future mobility.
Augmenting autonomous vehicles with printed electronics
As vehicle autonomy levels advance, the increasing number and distribution of spatial mapping sensors required will need continuous performance improvements to ensure passenger safety. Emerging printed electronics technologies can augment these sensors, extending detection bandwidth and maximizing reliability during operation.
Transparent conductive films (TCFs) are being developed to heat and defog LiDAR sensor panels, ensuring the function is unperturbed by external environmental conditions. Properties such as high transparency and low haze are important for defogging. These properties can be easily tuned using the wide variety of material options available for TCFs, including carbon nanotubes and silver nanowires.
IDTechEx identifies printed heating as a leading application of transparent conductive films. This is attributed to diminishing growth prospects in capacitive touch sensing applications. Innovations in thin film coating techniques have enabled indium tin oxide (ITO) to dominate touch sensing applications, all but displacing TCFs completely.
Looking towards the future, printed electronics technologies could play a more active role in advanced autonomous driving. Emerging semiconductive materials, such as quantum dots, printed directly onto conventional silicon image sensor arrays can extend detection range and sensitivity deeper into the infrared region. Augmenting existing image sensor technology with enhanced spectral range could facilitate the competition of hybrid silicon sensors with established InGaAs detectors.
Printed sensors promise granularized battery health monitoring
Vehicle electrification is driving the sustained development and evolution of electronic management systems, particularly in the battery and electric drivetrain. A strong market pull exists for technologies that increase vehicle efficiency, range, and lifetime while reducing recharge times.
Printed pressure and temperature sensors measure battery cell swelling and thermal profiles, providing granularized physical data that can be used to optimize battery deployment and recharging. Moreover, hybrid printed sensors that combine integrated printed heating elements promise a solution to actively address battery temperature. IDTechEx estimates that printed sensor-enabled battery deployment and charging optimizations could be worth up to US$3000 in savings per vehicle.
There remains uncertainty about whether electrification trends will correspond to increased demand for physical sensors in electric vehicle batteries, owing to the utility of existing electronic readouts for managing deployment. Virtual sensors also pose a threat, where AI-enabled software models interpret data to predict and emulate physical sensor functions without the need for discreet components. However, emerging regulations regarding safety and sensor redundancy will likely favor measurable metrics and see automotive makers continue to adopt physical sensors. IDTechEx predicts that virtual sensors are unlikely to displace their physical counterparts – so long as low-cost sensors remain widely available.
Embedding printed electronics in the car of the future
IDTechEx predicts that global car sales will saturate over the next decade, with automakers increasingly looking for premium features and technical innovations to differentiate themselves from the competition. In-cabin technologies will be highly desirable – as the location where passengers reside and interact with the vehicle the most.
Lighting elements are emerging as a prominent differentiator, described as “the new chrome” by Volkswagen’s chief designer. The use of in-mold structural electronics (IMSE) enables the integration of embedded lighting elements using existing manufacturing processes. 3D electronics technologies are intrinsically attractive for automotive integration, as functional layers are conformable and lightweight while easily embedded within existing aesthetic elements.
Despite strong tailwinds, the adoption of in-mold electronics within automotive interiors has been sluggish. This is attributed to the challenges of meeting automotive qualification requirements, as well as stiff competition with less sophisticated alternatives such as applying functional films to thermoformed parts. Nevertheless, momentum is building, with technology providers like Tactotek partnering with Mercedes-Benz and Stallantis to progress the automotive validation of IMSE to TRL5.
Outlook for printed electronics in automotive applications
Just as printed force sensors heralded early passenger safety systems, printed electronics technology is poised to underpin next-generation innovations for the car of the future. But this time, the competition will be stiff. Critical cost requirements must be met, while desirable new functionality must address existing challenges faced by manufacturers. Printed electronics can play a role in supporting emerging electrified and autonomous mobility, such as augmenting LiDAR sensors or optimizing electric battery deployment. Demand for technologies that enhance passenger experience and vehicle aesthetics will continue to grow, and printed electronics can supply low-power, lightweight lighting solutions for these.
Sustained engagement from tier suppliers and manufacturers continues to make the automotive sector key to printed sensor market growth opportunities – a total market IDTechEx predicts will reach US$960M by 2034. Strong partnerships between material providers and printed electronics technology providers are complementary to those of the highly vertically integrated automotive value chains between tier suppliers and OEMs. Leveraging printing techniques to provide solutions that slot into existing manufacturing processes and designs will be crucial. In the medium term, the printed electronics technologies most likely to realize revenue potential are those that can adapt to service emerging challenges already known to the automotive industry.
For more information on IDTechEx’s research on this topic, please see their report, “Printed and Flexible Sensors 2024-2034: Technologies, Players, Markets”. Downloadable sample pages are available for this report.
For the full portfolio of printed and flexible electronics market research from IDTechEx, please visit www.IDTechEx.com/Research/PE.
About IDTechEx:
IDTechEx provides trusted independent research on emerging technologies and their markets. Since 1999, we have been helping our clients to understand new technologies, their supply chains, market requirements, opportunities and forecasts. For more information, contact [email protected] or visit www.IDTechEx.com. 
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