Advances in Digitization for Materials R&D

Advances in Digitization for Materials R&D

Data Analytics, Modeling, and Simulation Technologies Reduce R&D Turnaround Time

RELEASE DATE
13-Dec-2022
REGION
Global
Deliverable Type
Technology Research
Research Code: DA7B-01-00-00-00
SKU: CM01995-GL-TR_27251
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Description

Data science, software engineering, and materials knowledge researchers must collaborate to bridge the gaps in materials R&D and accelerate digital transformation. To introduce digital innovation into the lab, scientists need to develop new skills and manage larger data volumes more efficiently using tools such as artificial intelligence (AI), big data, and cloud computing. It is best to look for the "low-hanging fruit" or something worthwhile but not too challenging to create a culture of digitalization.

R&D teams in chemical companies need to speed up the creation of molecules with complex functionalities. They must also conduct predictive simulations to improve formulations' performance and cost. Digital tools can assist in analyzing data from earlier studies to determine resource management to maximize the productivity of R&D teams. Due to smaller sample sizes and less repetition in lab work, these procedures were historically used in the pharmaceutical business but were economically unfeasible for chemical industries. However, as technology has advanced, large-scale computing has become relatively affordable, encouraging chemical industries to implement digital R&D more quickly.

The need for novel chemicals and advanced materials has increased because of requirements such as a sustainable energy future and the circular economy. The performance of materials typically depends on various factors, which makes traditional research methodologies that use trials slow, ineffective, and unaffordable. Data-driven methods can accelerate material discovery and R&D, reducing the time it takes to bring an idea to market.

Digitization in materials R&D predicts novel formulation performance, offers improved recommendations, and speeds up innovation, allowing businesses to manage the complexity of data resulting from the formulation process. This Frost & Sullivan research service identifies and explores emerging and futuristic digital tools required to research and discover new chemicals and materials. The report captures technical aspects, end applications, technology trends and opportunities, and the stakeholder ecosystem. Finally, it generates the digital tools, technologies, and factors that enable the adoption of these technologies in material discovery.

Frost & Sullivan has identified critical digital tools and technologies and categorized them into the material research ideation and experimentation stages. This report covers search analytics, big data, automation, virtual reality, cybersecurity, AI, cloud computing, co-creation platforms, intelligent knowledge management, digital twins, the industrial internet of things, robotics, and quantum computing. We also identified chemical firms open to collaborating with technology providers offering state-of-the-art digital tools and highlighted investment trends driving the development of innovative new materials using digital strategies.

Table of Contents

Why Is It Increasingly Difficult to Grow?The Strategic Imperative 8™: Factors Creating Pressure on Growth

The Strategic Imperative 8™

The Impact of the Top 3 Strategic Imperatives on Digitization for Materials R&D

Growth Opportunities Fuel the Growth Pipeline Engine™

Research Methodology

Research Scope and Questions the Study Will Answer

Research Segmentation

Digital Tools this Report Covers

Digital Tools this Report Covers (continued)

Growth Drivers

Growth Restraints

Digital Transformation Requirements in Chemicals and Materials R&D

Chemicals and Materials Companies Implementing Digital Tools in R&D Processes

Digital Tools Address Multiple R&D Processes Challenges

The Ideation Stage in Materials R&D Incorporates Strategizing New Ideas and Concepts for Innovation

Data Science and Algorithms Can Simulate R&D Processes

Search Analytics Aid in Assessing Patent Quality, Which Determines the Research Direction

Big Data Helps Manage High-volume Data Streams through Digital Tools and Algorithms

AI Drives the Rate of Product Innovation and Market Expansion

VR Is Essential for Exploring Material Chemical Structures and Visualizing Three-dimensional (3D) Chemical Structures

Lab Automation Assists in Researcher Productivity and Maintaining Data Accuracy

Cybersecurity Technologies Safeguard Mission-critical Data That Labs Generate

Cloud Computing Helps Accelerate the Material Discovery Process by Scaling from Molecules to the Mesoscale

Chemical and Material Companies Deploying Digital Tools: Use Cases

Use Cases for Digitization Chemical Companies Adopt to Optimize Production

Use Cases for Digitization Chemical Companies Adopt for Data Management at the Ideation Stage

Basic Research Initiates the Experimentation Stage, Which Explores New Materials and Demonstrates Them Prior to Launch

Technologies Such as Quantum Computing and IKM Can Simulate R&D Experimentation Processes

Co-creation Platforms Facilitate Knowledge Transfer in Material Research

IKM Assists in Data Discovery and Search Applications in a Cloud-native Architecture

IIoT Establishes Connectivity and Networking Between Various Processes in Materials R&D

AI-driven Robots are Making New Materials by Combining Different Formulations and Synthesis Methods

Digital Twins Ensure Digital Networking of Production Systems and Optimization of Material-specific Requirements

Quantum Computing Analyzes New Molecular Structures and Chemical Formulations Economically

Chemical and Material Companies Deploying Digital Tools in Experimentation: Use Cases

Use Cases of Chemical Companies Employing Digitization to Plan and Execute a Series of Materials Experiments Iteratively

Use Cases of Chemical Companies Employing Digitization in the Experimentation of New Materials

Specialty Chemicals Offer the Best Investment Opportunities for Digitizing Materials Laboratories

Funding for Digital Technologies, Such as AI, is Increasing in North America

Corporate Venture Capitalists in a Race to Acquire New Digital Platforms for Their Material Discovery Departments

Robotics, Informatics, and Augmented Reality (AR)/VR Attract Investor Interest in Scanning and Interpreting Information from Sources

Accelerators Power Self-driven Laboratories and Interdisciplinary Research to Leverage Digitization to Boost Material Discoveries

Partnerships and Collaborations Focus on Integrating ML to Investigate New Materials R&D Concepts

Chemical Companies’ Initiatives in Adopting Digital Technologies

Service Providers’ Initiatives to Offer Digital Platforms for Material Science Companies to Accelerate Discoveries

Digitization Technologies Impacting Materials R&D of the Future

Digitization Technologies Impacting Materials R&D of the Future (continued)

Digital Technology Adoption Increases to Help Companies Reduce Time to Market for Chemicals

Analyst Perspectives

Growth Opportunity 1: Lab 2.0, a Place with Extended Human-machine Interaction to Optimize Faster Discoveries and Scaling

Growth Opportunity 1: Lab 2.0, a Place with Extended Human-machine Interaction to Optimize Faster Discoveries and Scaling (continued)

Growth Opportunity 2: A Shift from Traditional ML to Generative AI to Create New Chemicals and Materials

Growth Opportunity 2: A Shift from Traditional ML to Generative AI to Create New Chemicals and Materials (continued)

Growth Opportunity 3: The Use of Advanced Screening Tools to Develop Materials with Unique Chemical Compositions

Growth Opportunity 3: The Use of Advanced Screening Tools to Develop Materials with Unique Chemical Compositions (continued)

Technology Readiness Levels (TRL): Explanation

Your Next Steps

Why Frost, Why Now?

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Data science, software engineering, and materials knowledge researchers must collaborate to bridge the gaps in materials R&D and accelerate digital transformation. To introduce digital innovation into the lab, scientists need to develop new skills and manage larger data volumes more efficiently using tools such as artificial intelligence (AI), big data, and cloud computing. It is best to look for the low-hanging fruit or something worthwhile but not too challenging to create a culture of digitalization. R&D teams in chemical companies need to speed up the creation of molecules with complex functionalities. They must also conduct predictive simulations to improve formulations' performance and cost. Digital tools can assist in analyzing data from earlier studies to determine resource management to maximize the productivity of R&D teams. Due to smaller sample sizes and less repetition in lab work, these procedures were historically used in the pharmaceutical business but were economically unfeasible for chemical industries. However, as technology has advanced, large-scale computing has become relatively affordable, encouraging chemical industries to implement digital R&D more quickly. The need for novel chemicals and advanced materials has increased because of requirements such as a sustainable energy future and the circular economy. The performance of materials typically depends on various factors, which makes traditional research methodologies that use trials slow, ineffective, and unaffordable. Data-driven methods can accelerate material discovery and R&D, reducing the time it takes to bring an idea to market. Digitization in materials R&D predicts novel formulation performance, offers improved recommendations, and speeds up innovation, allowing businesses to manage the complexity of data resulting from the formulation process. This Frost & Sullivan research service identifies and explores emerging and futuristic digital tools required to research and discover new chemicals and materials. The report captures technical aspects, end applications, technology trends and opportunities, and the stakeholder ecosystem. Finally, it generates the digital tools, technologies, and factors that enable the adoption of these technologies in material discovery. Frost & Sullivan has identified critical digital tools and technologies and categorized them into the material research ideation and experimentation stages. This report covers search analytics, big data, automation, virtual reality, cybersecurity, AI, cloud computing, co-creation platforms, intelligent knowledge management, digital twins, the industrial internet of things, robotics, and quantum computing. We also identified chemical firms open to collaborating with technology providers offering state-of-the-art digital tools and highlighted investment trends driving the development of innovative new materials using digital strategies.
More Information
Deliverable Type Technology Research
Author Sanchari Chatterjee
Industries Chemicals and Materials
No Index No
Is Prebook No
Keyword 1 Digital R&D
Keyword 2 Advances in Digitization for Materials R&D
Keyword 3 Digitalization in R&D
Podcast No
WIP Number DA7B-01-00-00-00