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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
13-Dec-2022
Global
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
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| 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 |