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Bioinformatics Market Size is Projected to Hit 24.07 Bn by 2028, With at a 12.1% CAGR by 2022-2028 | Brandessence Market Research

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According to a comprehensive research report by Brandessence Market Research (BMRC), “Bioinformatics Market Size, Share, And Trends Analysis Report By Product (Sequence Analysis Platform, Sequence Alignment Platforms, Structural & Functional Analysis Platforms, Sequence Manipulation Platforms), By Application (Drug Development, Protein Function Analysis, Gene Therapy, Molecular Genomics, Personalized Medicine) Based On Region, And Segment Forecasts, 2022 – 2028″. The Bioinformatics Market was valued at USD 10.82 Billion in 2021 and is expected to reach USD 24.07 Billion by 2028, amplifying with a CAGR of 12.1% over 2022-2028.

Bioinformatics Market Overview:

Bioinformatics, a multidisciplinary field that combines biology, computer science, and information technology, has emerged as a pivotal player in the life sciences industry. It encompasses the storage, analysis, and interpretation of biological data, enabling scientists to extract valuable insights and accelerate advancements in genomics, proteomics, and other branches of life sciences. In this article, we delve into the current state of the bioinformatics market, exploring its size, market share, trends, drivers, opportunities, threats, and recent industry developments.

Bioinformatics Market Scope-

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Report Metric

Details

Bioinformatics Market Revenue Forecast in 2028

USD 24.07 Billion

Market Size in 2021

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USD 10.82 Billion

Market Growth Rate

CAGR of 12.1% from 2022 to 2028

Base Year

2021

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Study Period

2022-2028

Key Players/Companies

Life Technologies, Affymetrix, Bio-Rad Laboratories, Agilent Technologies, Thermo Fisher Scientific, Eurofins Scientific, Illumina and Others.

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Bioinformatics Segmentation:

By Product:

  • Sequence Analysis Platform
  • Sequence Alignment Platforms
  • Structural & Functional Analysis Platforms
  • Sequence Manipulation Platforms

By Application:

  • Drug Development
  • Protein Function Analysis
  • Gene Therapy
  • Molecular Genomics
  • Personalized Medicine

Trends and Drivers:

1. Advancements in Next-Generation Sequencing (NGS):

The adoption of NGS technologies has witnessed an upswing, driving the demand for bioinformatics solutions to handle the deluge of data generated. This trend is anticipated to persist as NGS becomes more accessible and cost-effective.

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2. Rising Focus on Personalized Medicine:

The shift towards personalized medicine, tailoring treatments based on an individual’s genetic makeup, is bolstering the demand for bioinformatics tools. This approach holds immense potential in optimizing patient outcomes and minimizing adverse effects.

3. Integration of Artificial Intelligence (AI) and Machine Learning (ML):

AI and ML are revolutionizing data analysis, allowing for more accurate predictions and discoveries. Bioinformatics platforms leveraging these technologies are gaining traction for their ability to discern complex patterns within biological datasets.

Eminent industry players profiled in the Bioinformatics Market report include:

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  • Life Technologies
  • Affymetrix
  • Bio-Rad Laboratories
  • Agilent Technologies
  • Thermo Fisher Scientific
  • Eurofins Scientific
  • Illumina
  • Others.

Browse In-depth Market Research Report (300 Pages) on Bioinformatics Market:

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Bioinformatics Market Dynamics:

Bioinformatics is a fusion of biological sciences and information technology, playing a crucial role in the management of biological data within medical research and drug development. It leverages computer software tools for tasks like database creation, data management, warehousing, mining, and networking. The escalating investments in drug discovery are acting as a catalyst for market expansion. Furthermore, the inclination towards collaborative efforts with genetics research institutions stands as a pivotal factor driving the significant market share in medical biotechnology. This field encompasses a wide array of specialized domains including structural genomics, functional genomics, DNA microarrays, comparative genomics, and medical information management. The escalating demand for integrated bioinformatics systems in proteomics and genomics is also bolstering market growth. Genomics, as an application, dominates the bioinformatics industry. Recent trends in the industry include an upsurge in mergers, acquisitions, and a surge in new product innovations. Noteworthy growth opportunities lie in technologies like nanopore sequencing. However, challenges persist in the form of a shortage of skilled professionals and the high implementation costs associated with bioinformatics software.

Opportunities and Threats in the Industry:

Opportunities:

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  1. Emerging Markets: Untapped regions like Asia-Pacific offer significant growth opportunities due to expanding research activities and government initiatives.
  2. Drug Repurposing: Bioinformatics plays a pivotal role in identifying existing drugs that can be repurposed for new therapeutic purposes, presenting a cost-effective approach to drug discovery.

Threats:

  1. Data Privacy and Security Concerns: With the surge in biological data, ensuring the confidentiality and integrity of sensitive information remains a critical challenge.
  2. Regulatory Hurdles: Adhering to evolving regulatory frameworks and compliance standards can be a hurdle for companies operating in this space.

Market Industry Developments:

Recent developments in the bioinformatics market include partnerships between academic institutions and industry players, mergers and acquisitions, and the launch of innovative software solutions aimed at streamlining data analysis workflows.

Report Scope:

This article provides a comprehensive overview of the bioinformatics industry, including its current size, market share, key players, trends, drivers, opportunities, threats, and recent industry developments. It aims to offer valuable insights to stakeholders, researchers, and industry enthusiasts keen on understanding the dynamics of this rapidly evolving field.

Porter’s Five Forces Analysis:

1. Threat of New Entrants:

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Low Threat: The bioinformatics market requires a substantial investment in technology, research, and development. Additionally, there are high regulatory barriers due to the sensitive nature of biological data. Existing companies have established brand recognition and a strong foothold in the industry, making it difficult for new entrants to gain market share.

2. Bargaining Power of Suppliers:

Moderate Threat: Suppliers in the bioinformatics market mainly provide hardware, software, and data management solutions. While there are several suppliers in the market, some specialized components may have limited sources. However, the presence of multiple suppliers reduces their individual bargaining power.

3. Bargaining Power of Buyers:

Moderate to High Threat: Buyers in the bioinformatics market, which include research institutions, pharmaceutical companies, and academic organizations, have a reasonable degree of bargaining power. They can switch between bioinformatics providers based on factors like pricing, service quality, and technological capabilities.

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4. Threat of Substitutes:

Low Threat: There are limited substitutes for bioinformatics in terms of effectively managing and analyzing biological data. Traditional methods of data analysis are less efficient and cannot handle the large volumes of data generated in fields like genomics and proteomics.

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  1. Competitive Rivalry within the Industry:

High Threat: The bioinformatics market is highly competitive, with numerous well-established players vying for market share. Key companies like Illumina, Thermo Fisher Scientific, and Qiagen have a significant presence and engage in constant innovation to maintain their competitive edge. Additionally, the market is characterized by a continuous influx of startups and technological advancements.

Conclusion:

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The bioinformatics market is poised for remarkable growth, driven by technological advancements, increasing research endeavors, and a burgeoning focus on personalized medicine. However, it is not without its challenges, including data security concerns and regulatory complexities. As the industry continues to evolve, stakeholders must remain agile, leveraging innovation and collaboration to unlock the full potential of bioinformatics in shaping the future of life sciences.

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Artificial Intelligence

ResourceWise Brings Its Cross-Commodity Data and Analytics Expertise to New Oleochemicals Service

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ResourceWise has met a key milestone in providing cross-commodity price benchmarks, data, and analysis on chemicals, forest products, and decarbonization markets. 
CHARLOTTE, N.C., June 24, 2024 /PRNewswire/ — ResourceWise has met a key milestone in providing cross-commodity price benchmarks, data, and analysis on chemicals, forest products, and decarbonization markets. 

For the first time, one digital product encompasses expertise that spans all the key commodity sectors that ResourceWise covers. Dedicated to renewable feedstock, the new platform-based oleochemicals analysis and insight tools draw on decades of experience within each distinct business sector. 
Dwight Lynch, Biomaterials Business Manager at ResourceWise, is leading the transition towards data and insight on renewable intermediates and biobased and biodegradable polymer inputs. 
“Navigating oleochemicals markets at a time when regulation, legislation, and competition from renewable fuels markets are the key drivers is a challenge. Our new service offers pricing and analysis that informs decision-makers and allows sustainable business to thrive.” 
The new oleochemicals portal in ResourceWise’s flagship chemicals market intelligence platform, OrbiChem360, has evolved beyond its legacy biomaterials insights to focus on the fats and oils markets that are key to sustainability.  
It presents pricing data and analysis that ResourceWise biomaterials experts have furnished within OrbiChem360 this past decade and includes a crude tall oil (CTO) price index. The inclusion of a forest-based output introduces the ResourceWise platform FisherSolve’s pulp and paper industry insight to our portfolio. 
Pete Stewart, the CEO of ResourceWise, is focused on the future. “From raw material converters to end-use consumer goods producers, manufacturing value chain participants are increasingly seeking cross-commodity insights to meet low-carbon targets. We are building and providing the data and analytics businesses need to achieve environmental, social, and governance (ESG) targets and market products competitively worldwide.  
“The ResourceWise mission is to use the intelligence within the increasingly inter-related business sectors we have harnessed to guide customers in their journey toward a net-zero future. This new offering is the first of many milestones in our endeavor to do just that,” adds Stewart.  
A Streamlined Renewable Chemicals Service  
The new product leverages oleochemical pricing and commentary gathered by ResourceWise legacy brands since 2014 and insight collected since the 1990s. It extends our regional reach with additional price points and streamlines the data and analytics provided.  
The new portal is designed with personal care, cosmetics, detergents, lubricants, pharmaceuticals, flavor and fragrance, and food and beverage market participants in mind. However, it provides pricing data and insights for producers, intermediaries, and consumer product manufacturers in broader industries. 
More Than Forty Current and Historical Prices          
International price indexes for oleochemicals include the feedstocks soybean, coconut, tall, rapeseed, and palm oils, as well as tallow and glycerine grades Dozens of spot and contract prices for fatty acids and fatty alcohols plus comprehensive commentary based on intelligence from a worldwide contact base       Low-carbon price benchmarks and commentary in our oleochemicals offering will increasingly leverage intelligence on the biofuels sector within the Prima CarbonZero platform      Global Trade Flow graphics for all oils and tallow to help customers understand how key plant and animal-based feedstocks are traded globally to identify new markets and sources   Industry experts contextualize data, making it actionable, and respond personally to customer inquiries By bridging information gaps in the chemicals market, OrbiChem360 subscribers gain a competitive edge in volatile markets. The platform provides decision makers with robust, data-driven insight that unravels market trends so they can harness growth opportunities. For more information on the OrbiChem360 platform, visit the ResourceWise OrbiChem360 page. 
CONTACT:
Contact:Suz-Anne Kinney          Vice President, Marketing & Communications at [email protected]  +1 (980) 233-4021
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AI Vulnerability Scanning market Size to Grow USD 7,574.30 Million by 2030 at a CAGR of 13.52% | Valuates Reports

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BANGALORE, India, June 24, 2024 /PRNewswire/ — AI Vulnerability Scanning market is Segmented by Type (On-premises, Cloud-Based), by Application (SMEs, Large Enterprise): Global Opportunity Analysis and Industry Forecast, 2024-2030.

The global AI Vulnerability Scanning market was valued at USD 3121.56 million in 2023 and is anticipated to reach USD 7,574.30 million by 2030, witnessing a CAGR of 13.52% during the forecast period 2024-2030.
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 Major Factors Driving the Growth of AI Vulnerability Scanning Market:
The market for AI vulnerability assessment is being pushed by the growing requirement for strong cybersecurity defenses against increasingly complex and dynamic cyberthreats. AI-specific vulnerabilities are becoming more likely as organizations use machine learning (ML) and artificial intelligence (AI) more extensively, which calls for the use of specialized scanning solutions. AI vulnerability scanners use cutting-edge algorithms to find and fix security flaws in AI models, shielding against criminal activity, data breaches, and adversarial attacks. The demand for AI vulnerability screening tools is being driven primarily by the increasing awareness of AI security concerns, regulatory constraints for strict data protection, and the integration of AI across multiple sectors, including banking, healthcare, and automotive. Furthermore, improvements in AI and ML methods boost these scanning solutions’ efficacy and propel the market forward.
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TRENDS INFLUENCING THE GROWTH OF THE AI VULNERABILITY SCANNING MARKET
Because cloud-based AI vulnerability scanning provides scalable, effective, and all-encompassing security solutions, it is driving the growth of the AI vulnerability scanning market in major companies. By constantly monitoring and analyzing enormous volumes of data across enterprise networks, these cloud-based systems make use of cutting-edge AI algorithms to spot possible vulnerabilities in real time. Large businesses can effectively manage security across different and complex IT infrastructures thanks to the flexibility and scalability of cloud solutions, which guarantees strong defense against constantly changing cyber threats. Furthermore, cloud-based platforms’ centralized architecture makes it simpler to integrate and upgrade with pre-existing security frameworks, which improves overall resiliency. The market is expanding significantly as a result of large organizations prioritizing cybersecurity and the increased need for advanced, AI-driven vulnerability detection solutions.
The market for AI vulnerability scanning is primarily driven by the rise in complex cyberthreats. Organizations are becoming more cognizant of the necessity for sophisticated security measures as cyber threats escalate in complexity and frequency. When it comes to identifying and countering these contemporary threats, traditional vulnerability scanning techniques frequently fall short. Real-time detection and prediction analysis capabilities are provided by AI-powered vulnerability scanning solutions, which can detect possible security breaches before they happen. Organizations must make significant investments in AI-based security solutions in order to preserve business continuity and protect critical data.
One major element propelling the market expansion for AI vulnerability scanning is regulatory compliance. Tight laws are being passed by governments and business associations across the globe to guarantee cybersecurity and data security. Sufficient observance of regulations like GDPR, HIPAA, and CCPA necessitates ongoing security vulnerability reporting and monitoring. AI vulnerability scanning systems offer thorough and automated security assessments, which assist enterprises in meeting these legal obligations. This ability not only guarantees compliance but also lowers the possibility of fines and harm to one’s reputation, which motivates more companies to choose AI-powered security solutions.
Another important element propelling the market for AI vulnerability scanning is cost effectiveness. Conventional security methods are resource-intensive and can require a large amount of manual effort, which raises operational costs. The identification and mitigation of security threats are automated by AI-powered vulnerability scanning solutions, which minimizes the need for significant human participation. Organizations save a significant amount of money because of this automation, especially big businesses with sophisticated IT infrastructures. Furthermore, early vulnerability detection reduces the possible financial effect of cyberattacks, which makes AI-driven solutions a financially viable choice for companies.
The market for AI vulnerability scanning is expanding due in large part to the need for real-time threat identification. Real-time security threat detection and response is essential in today’s fast-paced digital world. Artificial intelligence (AI)-driven vulnerability scanning solutions enable businesses to quickly respond to possible threats by offering continuous monitoring and instantaneous analysis of security weaknesses. Reducing the effects of cyberattacks and preserving the integrity of vital systems depend on this real-time detection capabilities. Adoption of AI-based security solutions is driven by the increased requirement for quick reaction to threats.
The market for AI vulnerability screening is being driven by several factors, including increased accuracy and precision. Conventional vulnerability scanning techniques can miss subtle security risks and generate false positives. On the other hand, AI-powered products use sophisticated analytics and machine learning algorithms to pinpoint vulnerabilities extremely precisely. This lowers the quantity of false alarms and guarantees that serious dangers are dealt with right away. Because AI-driven solutions are more accurate, security measures are more effective overall, which is why businesses looking for dependable and all-inclusive vulnerability management choose them.
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AI VULNERABILITY SCANNING MARKET SHARE ANALYSIS
The market for AI vulnerability scanning is dominated by North America because of the region’s strong emphasis on cybersecurity and technical improvements. Because there are so many tech businesses, financial institutions, and government organizations in the US that need to implement strong cybersecurity measures, the country is a big participant in this space. The development and uptake of sophisticated vulnerability scanning solutions are aided by the presence of significant AI and cybersecurity companies in the area. The industry is additionally driven by strict regulatory requirements, such as those imposed by the Health Insurance Portability and Accountability Act (HIPAA) and the Federal Information Security Management Act (FISMA), which force firms to install extensive security measures. The increased frequency of cyberattacks in North America emphasizes the necessity for sophisticated AI-powered security measures.
Key Players:
European UnionCRYPTTECHSecPointTheSmartScannerSecureWorksCybotsCyber OrionImmuniWeb SAVertaHuawei CloudFreeBufAlibaba CloudIBMGoogle CloudBARUTUAmazon AWSPurchase Regional Data: https://reports.valuates.com/request/regional/QYRE-Auto-12L15782/Global_AI_Vulnerability_Scanning_Market_Research_Report_2023
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Timekettle Announces HybridComm 3.0 Upgrade, Marking a New Era in Near-human-level AI Translation Technology

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SHENZHEN, China, June 24, 2024 /PRNewswire/ — Timekettle is excited to announce the release of its latest software upgrade, the AI Semantic Segmentation. Powered by Timekettle’s cutting-edge TurboFast Technology under HybridComm 3.0, the AI Semantic Segmentation sets a new standard in real-time language translation, solidifying Timekettle’s position as the expert in AI translator earbuds.

As the pioneer and innovator in cross-language communication solutions, Timekettle has relentlessly advanced the field through innovative products, marking a significant chapter in AI translation devices. Initially offering handheld translators for simple exchanges, Timekettle’s breakthrough came with the WT2 Plus Translator Earbuds, featuring HybridComm 1.0 for seamless, one-way translation and a speaker mode for broader communication. The subsequent launch of the WT2 Edge Real-time Translator Earbuds, with HybridComm 2.0, enabled natural, bidirectional conversations. The latest advancement, powered by HybridComm 3.0 featuring the AI Semantic Segmentation, significantly enhances translation efficiency and accuracy, marking a new era in near-human-level AI translation technology.
Leveraging the advanced TurboFast Technology, the AI Semantic Segmentation ensures a seamless and instant translation experience, helping the translated speech align perfectly with the speaker’s rhythm, and eradicating the issue of delayed translated output in crucial communication scenarios. It begins by grasping the core meaning of sentences. Once it aligns closely with the “entirely correct” benchmark, it begins translating while still processing the original voice, allowing users to hear the translated audio sooner.
Thanks to the AI Semantic Segmentation, the delay in receiving translated audio has been reduced by 200%, bringing its real-time translation capabilities on par with live interpretation. Internal test conducted recently revealed that with the AI Semantic Segmentation, a translated speech only delays a sentence lag time, while other traditional speech translation devices may experience significant delays of 30 to 40 seconds.
This significant reduction, cutting over 20 seconds of waiting time, has revolutionized continuous communication. Picture being at a conference room where attendees can instantly hear the translation of a sentence right as the speaker starts the next. Such a seamless flow of communication marks a new era of cross-language interaction, paving the way for a more connected world.
The AI Semantic Segmentation is now available on Timekettle WT2 Edge Real-time Translator Earbuds, M3 Language Translator Earbuds, and X1 AI Interpreter Hub (One-on-one mode, Listen & Play mode, and Ask & Go mode for now; Voice Call mode and more starting June 28th) and upon installing the latest software update for existing users. 
About Timekettle
Established in 2016, Timekettle is dedicated to advancing cross-language communication through innovative products and solutions. Recognized with numerous international accolades, including the CES Innovation Award, iF Design Award, and Japan Good Design Award, Timekettle’s products have proudly served the needs of cross-language communication in a variety of user scenarios, including abroad-living, traveling, multi-language meetings and classrooms, as well as in manufacturing and logistics, and beyond. Having solidified a user database of more than 400,000, Timekettle continues its journey as the Global No.1 AI Translator Device.
For further information, please visit https://www.timekettle.co/ or contact [email protected]
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