To order this detailed 245+ page report, please visit this
Key Inclusions
- An overview of the current market landscape of cobots, providing information on the market availability (available and under development), industrial task(s) performed (air blowing / spraying, CNC machine tending, gluing / dispensing / welding, loading / unloading, material handling, material removal / processing, packaging, palletizing, picking and placing, quality inspection, screw driving and small-part assembly), weight of cobots, payload capacity, degrees of freedom, maximum reach, position repeatability, number of arms, type of mounting, temperature of operational environment, end-user industry (aerospace, agriculture, automotive, food processing, electrical / electronic, life sciences / pharmaceutical, logistics, manufacturing, metal, and plastic and polymer), and cost of cobot. In addition, it presents details of the cobot manufacturers, highlighting year of establishment, company size, and location of headquarters.
- An in-depth analysis of the contemporary market trends, presented using four schematic representations, including [A] an insightful heat map representation, highlighting the distribution of cobots on the basis of payload capacity and industrial task(s), [B] a tree map representation of the cobots, distributed on the basis of company size and end-users, and [C] a world map representation, highlighting the regional distribution of manufacturers.
- Elaborate profiles of companies that are engaged in the development of cobots. Each company profile features a brief overview of the company (with information on year of establishment, number of employees, location of headquarters and key members of the executive team), details of their respective product portfolio, recent developments and an informed future outlook.
- An insightful three-dimensional bubble chart representation, highlighting the competitiveness analysis of cobot manufacturers, taking into consideration the supplier strength (based on expertise of the manufacturer), product portfolio strength, portfolio diversity and number of industrial task(s) that can be performed.
- A detailed brand positioning analysis of key industry players, highlighting the current perceptions regarding their proprietary products by taking into consideration several relevant aspects, such as the experience of a cobot manufacturer, number of industrial task(s), number of products offered and product diversity.
- A detailed competitiveness analysis of cobots based on various relevant parameters, such as supplier power (based on expertise of the manufacturer) and product specifications (payload capacity, maximum reach, number of arms, type of mounting, and number of industrial task(s) performed).
- A discussion on key technological innovations (tools / technologies), such as advanced grippers, artificial intelligence, machine learning, vision technology and voice interface, in the cobots industry.
- An insightful discussion on the effects of COVID-19 outbreak on the automation industry. It includes a brief discussion on the short-term and long-term impact of the disease outbreak on the market opportunity for developers.
The report also features the likely distribution of the current and forecasted opportunity across important market segments, mentioned below:
- Payload Capacity
- Below 6 Kg
- Between 6 and 10 Kg
- Above 10 Kg
- Industrial Operation
- Small Part Assembly
- Case Packing
- Material Handling
- Palletizing / Depalletizing
- Picking and Placing
- Welding
- Other Operations
- End-User (Industry)
- Automotive Industry
- Food Processing Industry
- Electrical / Electronic Industry
- Plastic and Rubber Industry
- Life Sciences / Pharmaceutical Industry
- Metal Industry
- Others
- Key Geographical Regions
- North America
- Europe
- Asia-Pacific and Rest of the World
To request sample pages, please visit this
Key Questions Answered
You may also be interested in the following titles:
Contact Us
Gaurav Chaudhary
+1 (415) 800 3415
Roots Analysis has announced the addition of “In Silico / Computer-Aided Drug Discovery Services Market: Focus on Large Molecules (Antibodies, Proteins, Peptides, Nucleic Acid, Gene Therapy and Vectors), 2020-2030 (Including Structure Based Drug Discovery, Fragment Based Drug Discovery, Ligand Based Drug Discovery, Target Based Drug Discovery / Multi-Target Drug Design, Interface Based Drug Discovery, Approaches)” report to its list of offerings.
Presently, in silico tools / approaches are available for the identification, selection and optimization of pharmacological leads.
in fact, the predictive power of such solutions has been demonstrated to enable researchers to bypass the traditional experimental screening of billions of molecules against hundreds of biological targets, thereby, allowing significant reductions in the investment of both time and resources.
It is worth mentioning that about 30% of players presently offer end-to-end drug discovery services Over 150 software solutions are currently available for use in drug discovery Around 90 companies are currently providing software tools, web applications and other technology platforms for drug discovery.
Examples of popular softwares include (in alphabetical order) FORECASTER SUITE, MOPAC2016™, PKPlus™, REAL Space Navigator, SaaS Platform and VolSurf+.
Around 40% of the companies claim to specialize in antibodies, proteins and peptidesWithin the antibodies segment, nearly 60% of in silico service offerings are focused on the discovery of monoclonal antibodies.
Therefore, the use of technology can save time and money, while providing a far better understanding of the relationships between different formulations and processes parameters.Key Drivers, Restraints, and Opportunities of AI in Pharma and Biotech MarketAdoption of artificial intelligence (AI) in the drug discovery market in developing regions such as APAC is increasing, thanks to the expansion of pharmaceutical industries by collaborating with other industries and rise in demand to reduce drug discovery time.
Furthermore, the expansion of biotechnology industries is estimated to offer significant opportunities for the market.An estimated 50% of U.S. citizens are affected by at least one chronic condition; consequently, the pharmaceutical segment of the healthcare industry is projected to be positively impacted by the expected trend of AI adoption.All top 10 so-called giant pharma companies (namely Novartis, Roche, Pfizer, Merck, AstraZeneca, GlaxoSmithKline, Sanofi, Abbvie, Bristol-Myers Squibb, and Johnson & Johnson) have either expressly collaborated with or acquired AI technologies to take advantage of the opportunities AI brings to the table.
Industry leaders are presently focused on the development of more efficient methods, and machine learning is emerging as a possible solution.The current machine learning initiatives of the top five pharmaceutical and biotechnology companies reveal trends within the following areas:Digital coaching solutions – Utilization of web-based technologies to simulate one-on-one coaching sessions so that all patients can have the benefit of a uniquely devised medication program.For instance: Johnson & Johnson’s Patient Athlete programPersonalized medicine – Personalized medicine, also called precision medicine, maybe a medical model that separates people into different groups—with medical decisions, practices, interventions, and/or products being tailored to the individual patient supported their predicted response or risk of disease.For instance.
Unlike other applications within healthcare facilities, drug discovery seems to own a clearer path to adoption.Recently, robots became more collaborative with humans and are more easily trained by moving them through the desired task.
Over time, it seems likely that an equivalent improvement in intelligence that we have seen in other areas of AI would be incorporated into physical robots.Surgical robots initially approved in the U.S. in 2000, provided ‘superpowers’ to surgeons, improving their ability to examine, create precise and minimally invasive incisions, and stitch wounds.
Common surgical procedures using robotic surgery include gynecologic surgery, prostate surgery, and head and neck surgery.Pre Book Ai In Pharma And Biotech Market Report – https://www.transparencymarketresearch.com/checkout.php?rep_id=79399=S North America to Capture Major Share of Global Market of AI in Pharma & BiotechNorth America is expected to account for a major share of the global market of AI in Pharma and Biotech due to the high prevalence of chronic diseases among the population.
Softcon Systems brings you automation solutions specific to the pharmaceutical industry – we will work with you to develop and implement ideal solutions specific to your requirements.
Automation at every point of the value chain will enable the pharma companies to get pharmaceuticals from the lab to the patient more quickly.We design systems that help pharmaceutical and biotech companies to achieve operational excellence, reduce time to market and meet all industry standards and regulations.
