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Bioavailability Enhancement Technologies and Services Market Industry Trends and Global Forecasts to 2035: Bioavailability Sector Set to Reach USD 10.22 Billion by 2035
Bioavailability Enhancement Technologies and Services Market Industry Trends and Global Forecasts to 2035: Bioavailability Sector Set to Reach USD 10.22 Billion by 2035

Yahoo

time3 days ago

  • Business
  • Yahoo

Bioavailability Enhancement Technologies and Services Market Industry Trends and Global Forecasts to 2035: Bioavailability Sector Set to Reach USD 10.22 Billion by 2035

The global bioavailability enhancement technologies and services market is projected to grow from USD 3.2 billion in 2025 to USD 10.22 billion by 2035, with a CAGR of 11.11%. Driven by increasing demand for drug solubility solutions, the industry sees significant growth prospects, with North America leading the market. Demand for Bioavailability Enhancement List of Bioavailability Enhancement Service Providers Dublin, July 21, 2025 (GLOBE NEWSWIRE) -- The "Bioavailability Enhancement Technologies and Services Market Industry Trends and Global Forecasts to 2035" report has been added to offering. The global bioavailability enhancement technologies and services market is estimated to grow from USD 3.2 billion in 2025, to USD 10.22 billion by 2035, at a CAGR of 11.11% during the forecast period, to 2035. Bioavailability Enhancement Technologies and Services Market: Growth and Trends In recent years, the focus of drug developers has shifted towards development of lipophilic drug compounds due to the increasing issues with aqueous solubility of drugs. According to a recent study, around 90% of NCEs belong to BCS class II and IV, which are known to be associated with low permeability. Given that a large number of drugs fail to reach the market due to poor bioavailability, the industry is looking for various tools / methods to mitigate this challenge. Moreover, as many companies seek to re-formulate existing product candidates that exhibit poor bioavailability, the demand for novel bioavailability enhancement methods has grown significantly. It is worth mentioning that since 2000, more than 55 players offering bioavailability enhancement technologies and services have been established. Amidst the growing competition, the availability of cutting-edge tools and technologies has emerged as a differentiating factor. This has led many service / technology providers to actively expand their portfolios, either through strategic acquisitions / mergers or entering into service alliances with other bioavailability enhancement companies. As drug developers continue to evaluate novel drug targets and classes, the bioavailability enhancement domain is expected to grow at a steady pace over the next decade. Bioavailability Enhancement Technologies and Services Market: Key Insights The report delves into the current state of the bioavailability enhancement technologies and services market and identifies potential growth opportunities within the industry. Some key findings from the report include: Outsourcing has emerged as a popular model for improving drug bioavailability, with nearly 115 companies offering a wide range of services based on different bioavailability enhancement principles. At present, more than 80% of the players are offering bioavailability enhancement services focused on improving the drug solubility, primarily by adopting the solid dispersion approach. Advances in bioavailability enhancement technologies have enabled the development of novel formulations with improved pharmacokinetic properties, resulting in lucrative business opportunities for technology providers. Over 50% of the technologies are focused on enhancing the bioavailability of small molecules, specifically those intended for delivery via the oral route. A rise in partnerships focused on bioavailability enhancement services and technology platforms validates the growing interest in this domain; ~40% of such deals were instances of mergers and acquisitions. In the past decade, several clinical trials have been registered for evaluating novel therapeutic interventions with improved bioavailability, across different geographical regions. 5,800+ articles discussing various bioavailability enhancement techniques have been published in different scientific journals, thereby indicating the rapid pace of research activity within this domain. Bioavailability enhancement domain is characterized by extensive R&D activity, leading to the development of multiple high value technologies and a strong intellectual property portfolio. With the market evolving at a steady pace, emerging players need to incorporate innovative bioavailability enhancement technologies to augment their service portfolio and surpass the competition. Considering the concerns related to low solubility / permeability of certain marketed drugs and a large number of NCEs, the demand for bioavailability enhancement technologies and services is anticipated to rise in the future. Driven by the increase in number of BCS II and BCS IV molecules being evaluated in early phases of development, the bioavailability enhancement domain is likely to grow at CAGR of ~11%, till 2035. Bioavailability Enhancement Technologies and Services Market: Key Segments New Drug Approvals Occupy the Largest Share of the Bioavailability Enhancement Technologies and Services Market BCS II Drug Class is Likely to Dominate the Bioavailability Enhancement Technologies and Services Market During the Forecast Period Size Reduction Approach is the Fastest Growing Segment of the Bioavailability Enhancement Technologies and Services Market During the Forecast Period Liquid Dosage Form is Likely to Dominate the Bioavailability Enhancement Technologies and Services Market Bioavailability Enhancement Technologies and Services Market: Research Coverage Market Sizing and Opportunity Analysis: The report features an in-depth analysis of the bioavailability enhancement technologies and services market, focusing on key market segments, including type of drug class, type of BCS classification, type of bioavailability enhancement approach, type of dosage form, and key geographical regions. Market Landscape 1: A comprehensive evaluation of bioavailability enhancement service providers, considering various parameters, such as year of establishment, company size, location of headquarters, bioavailability enhancement principle supported, bioavailability enhancement approach employed, type of dosage form supported, and route of administration of drug product. Market Landscape 2: A comprehensive evaluation of bioavailability enhancement technology providers, considering various parameters, such as year of establishment, company size, location of headquarters, bioavailability enhancement principle supported, bioavailability enhancement approach employed, type of molecule, type of dosage form supported, route of administration, availability for license and associated intellectual property rights. Key Insights: A detailed analysis, encompassing the contemporary market trends, using six schematic representations, including a world map representation depicting the region-wise distribution of various stakeholders engaged in offering bioavailability enhancement services, on the basis of their company size, a waffle chart representation, highlighting the regional distribution of bioavailability enhancement service providers, based on various types of bioavailability enhancement approaches employed by them, a heat map representation of bioavailability enhancement service providers, based on bioavailability enhancement approaches and type of dosage form, a horizontally grouped bar chart, highlighting the distribution of bioavailability enhancement service providers based on their company size and type of bioavailability enhancement principles, an insightful tree map representation of bioavailability enhancement service providers, as well as a 3D bubble analysis comparing the key players engaged in drug bioavailability enhancement market, based on several relevant parameters. Company Profiles: In-depth profiles of key industry players offering bioavailability enhancement technologies and services, focusing on company overviews, financial information, bioavailability enhancement services portfolio, recent developments and an informed future outlook. Competitive Benchmarking Analysis: A competitive benchmarking analysis that emphasizes the primary focus areas of various players engaged in the drug bioavailability enhancement market. This analysis compares their existing capabilities within and beyond their respective peer groups based in North America, Europe, Asia-Pacific, and other regions. It offers stakeholders insights into potential strategies for achieving a competitive edge in the industry. Partnerships and Collaborations: An analysis of partnerships established in this sector, since 2013, covering mergers and acquisitions, licensing agreements, alliances, product development and manufacturing agreements, research and development agreements, product development and commercialization agreements, service agreements, and other agreements. Publication Analysis: A detailed review of peer-reviewed, scientific articles related to research on bioavailability enhancement of drug compounds and / or drug candidates, based on parameters, such as year of publication, type of publication, popular keywords, top journals, top publishers and top copyright holders. Patent Analysis: Detailed analysis of various patents filed / granted related to bioavailability enhancement approaches and technologies based on type of patent, patent application year, patent publication year, bioavailability enhancement approach, CPC symbols, geography, emerging focus area, type of organization, leading industry and non-industry players, and individual patent assignees. It also includes a patent benchmarking analysis and a detailed valuation analysis. Clinical Trial Analysis: Examination of completed, ongoing, and planned clinical studies of various bioavailability enhancement of various drug compounds and / or candidates based on parameters like trial registration year, trial phase, current recruitment status, enrolled patient population, study design, type of sponsor / collaborator, leading industry and non-industry players, type of molecule and key geographies. Technology Evaluation Framework: An insightful framework evaluating the bioavailability enhancement approaches based on various parameters, such as number of technologies, number of approved drugs, trends highlighted in published literature and patents, and business models adopted by industry stakeholders. It also provides a value addition matrix for respective bioavailability enhancement approaches currently employed by stakeholders. Players in the Bioavailability Enhancement Technologies and Services Market Profiled in the Report, Include: Adare Pharma Solutions Ascendia Pharmaceuticals Catalent Lonza Lubrizol Life Science Health Pace Life Sciences Quotient Sciences WuXi STA Reasons to Buy this Report The report provides a comprehensive market analysis, offering detailed revenue projections of the overall market and its specific sub-segments. This information is valuable to both established market leaders and emerging entrants. Stakeholders can leverage the report to gain a deeper understanding of the competitive dynamics within the market. By analyzing the competitive landscape, businesses can make informed decisions to optimize their market positioning and develop effective go-to-market strategies. The report offers stakeholders a comprehensive overview of the market, including key drivers, barriers, opportunities, and challenges. This information empowers stakeholders to stay abreast of market trends and make data-driven decisions to capitalize on growth prospects. Additional Benefits Complimentary PPT Insights Packs Complimentary Excel Data Packs for all Analytical Modules in the Report 10% Free Content Customization Detailed Report Walkthrough Session with Research Team For more information about this report visit About is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends. Attachments Demand for Bioavailability Enhancement List of Bioavailability Enhancement Service Providers CONTACT: CONTACT: Laura Wood,Senior Press Manager press@ For E.S.T Office Hours Call 1-917-300-0470 For U.S./ CAN Toll Free Call 1-800-526-8630 For GMT Office Hours Call +353-1-416-8900

Breakthrough coming? USA TODAY Sports Network's Big Ten football preseason rankings tabs Penn State as best
Breakthrough coming? USA TODAY Sports Network's Big Ten football preseason rankings tabs Penn State as best

Indianapolis Star

time3 days ago

  • Sport
  • Indianapolis Star

Breakthrough coming? USA TODAY Sports Network's Big Ten football preseason rankings tabs Penn State as best

INDIANAPOLIS — One of the fiercest rivalries in all of sports has teams who represented the Big Ten quite well as College Football Playoff national champions in consecutive years. But it's a team that has for years played third fiddle that is picked to break the glass ceiling it has faced. A pool of writers across the USA TODAY Sports Network from coast to coast were polled on who will win the league, and Penn State was the preseason choice to win the championship Dec. 6 at Lucas Oil Stadium. The Nittany Lions have not won the Big Ten since 2016, their only time supplanting Ohio State and Michigan in the defunct East Division. Penn State lost to Oregon, 45-37, in last year's championship game, the first without divisions, but went on to reach a CFP national semifinal where they lost to eventual national runner-up Notre Dame. It may be Penn State's best chance to win a national championship for the first time in 39 years. Though its 1994 team went undefeated, it was Nebraska that claimed the national title after beating Miami in the BCS national championship game. The Nittany Lions will have competition, though, as the Big Ten hopes to have a third straight national champion. There was a grouping of Penn State, Ohio State and Oregon as the three programs who were predicted to finish first by network writers. A pool of teams were bunched up in the middle, and another cluster in the lower third. They ranked teams first through 18th with a total points system used to rank teams: a first-place prediction equaled one point and last was 18. The team with the fewest points was ranked first. First-year Purdue football coach Barry Odom has his work cut out for him. His Boilermakers were a consensus pick to finish 18th. Meanwhile in-state rival Indiana is not expected to have much of a drop off from a (tied) second-place finish in Curt Cignetti's first season. Toppmeyer: Why the Big Ten desperately wants to rig College Football Playoff 1. Penn State, 16 2. Ohio State, 20 3. Oregon, 26 4. Michigan, 45 5. Illinois, 55 6. Indiana, 63 Insider: IU football schedule a politicking punching bag in inconsistent College Football Playoff process 7. USC, 72 (tie) 8. Nebraska, 85 (tie) 8. Washington, 85 10. Iowa, 86 11. Minnesota, 112 12. Wisconsin, 117 13. Rutgers, 138 14. UCLA, 139 15. Michigan State, 141 16. Maryland, 155 17. Northwestern, 165 18. Purdue, 180 Local Boiler: 'Authentic' Lawrence Central grad can go 'as far as he wants' as Purdue football general manager Champion: Penn State (5 votes)

Universiti Teknologi Brunei ranks among top tech universities in Asean
Universiti Teknologi Brunei ranks among top tech universities in Asean

The Star

time6 days ago

  • Business
  • The Star

Universiti Teknologi Brunei ranks among top tech universities in Asean

BANDAR SERI BEGAWAN: Universiti Teknologi Brunei (UTB), a university focused on innovation through education and research, is now Brunei Darussalam's leading technological university. UTB is also committed to producing outstanding talent for a sustainable, global and enterprising society rooted in the Malay Islamic Monarchy (MIB) national philosophy to help achieve Brunei Vision 2035. UTB's commitment to achieving Brunei Vision 2035 was highlighted by the university's Vice-Chancellor Datin Paduka Professor Dr Zohrah Sulaiman (pic), in her remarks as the guest of honour at the UTB-MIC Computing Degree Programmes and BriCOMP certificate presentation ceremony on Thursday (July 18). She highlighted that UTB is ranked among the top nine technology and engineering universities in Asean by the Quacquarelli Symonds (QS) World University Rankings 2026. The university also debuted in the prestigious Times Higher Education (THE) World University Rankings 2025, securing a position among the top 801-1000 institutions worldwide and ranking among the 23 universities in Asean. She described this as an impressive accomplishment that reflects UTB's strong focus on academic excellence and innovation. The vice-chancellor also shared a list of the top 15 highest-paying jobs in the world for 2025, which included artificial intelligence (AI)/machine learning engineer at number three, data scientist at number four, blockchain developer at number five, investment banker at number seven, cybersecurity specialist at number eight, cloud engineer at number 10, marketing manager at number 11 and management consultant at number 14. She explained that 'tech-centric growth fields like AI, cloud computing, and cybersecurity dominate. You may be wondering whether the ones listed above apply to the global markets. They do, and it means that UTB and MIC are preparing you for the world.' She continued, 'We are proud of our accredited programmes. The School of Computing and Informatics has attained accreditation from the British Computer Society (BCS) for all its undergraduate programmes, as well as dual partial accreditation for our Master of Science (By Coursework) in Computing and Information Systems.' BCS accreditation, she added, 'is recognised in more than 200 countries, which means you can work anywhere with a BCS-certified degree.' She also highlighted that the UTB School of Business' undergraduate programmes are accredited by the European Foundation for Management Development (EFMD). EFMD accreditation indicates that a business school has met the organisation's rigorous standards for teaching and research quality, and that its degrees are recognised as credible by employers and other stakeholders. In addition, she said, 'UTB also offers modules to develop soft skills, such as effective communication, entrepreneurship, and ethics.' The university also has facilities to support a passion for information technology, AI and machine learning. 'The Huawei Academy provides industrial training on-site, and the Artificial Intelligence and Machine Learning (AiML) Hub is an innovation hub that supports AI talent through education, training, research, and innovation.' – Borneo Bulletin/ANN

Building Controls & Solutions Announces New Executive Leadership Team to Drive Strategic Growth
Building Controls & Solutions Announces New Executive Leadership Team to Drive Strategic Growth

Yahoo

time7 days ago

  • Business
  • Yahoo

Building Controls & Solutions Announces New Executive Leadership Team to Drive Strategic Growth

DALLAS, July 17, 2025 /PRNewswire/ -- Building Controls & Solutions (BCS), a leading value-added distributor of energy management, building automation, and gas detection solutions, is proud to announce key changes to its executive leadership team that will strengthen the company's growth trajectory and enhance its ability to serve customers and manufacturer partners across North America. Christopher Wenaas has been promoted to Chief Operating Officer, where he will lead U.S. branch operations, sales, and technical solutions teams with a strong focus on sales execution, margin improvement, and operational consistency across BCS's 15 U.S. branch locations. Galen Riddle joins BCS as Chief Financial Officer. Galen brings over two decades of financial leadership experience in distribution, manufacturing, and private equity-backed businesses. Most recently, he served as Vice President of Finance at Hydradyne, where he helped lead the business through a successful acquisition. Galen will drive financial strategy, performance insights, and EBITDA growth initiatives at BCS in the U.S and Canada. John Strawn, who joined earlier this year as Chief Marketing & Technology Officer, leads the company's omni-channel strategy, digital innovation, and customer experience transformation. John's prior leadership roles at Kele, ABB, and FedEx have shaped him into a digital and customer-first thought leader with a track record of measurable results. These leaders will team with Eric Chernik, Chief Executive Officer. "This is an exciting time for BCS," said Chernik. "Our leadership team is aligned around a bold vision for scalable growth, operational excellence, and an unwavering commitment to our customers and vendor partners. These moves strengthen our ability to deliver value, stay nimble, and grow alongside our partners." About Building Controls & Solutions Founded in 2019, Building Controls & Solutions is the preeminent value-added distributor of building automation, energy management, and gas detection solutions for the commercial HVAC industry. With 24 locations across the U.S and Canada, BCS partners with leading manufacturers to provide local expertise, inventory support, and technical solutions to contractors, facility managers, and OEMs. BCS is backed by Platte River Equity, a Denver-based private equity firm managing $1.7 billion in assets. Platte River invests in established, high-growth companies in the industrial and aerospace sectors. Known for its operational expertise and collaborative approach, Platte River is an active and committed partner in BCS's long-term success. BCS is committed to delivering smarter buildings, safer environments, and better outcomes for its customers and communities. Our values: Powered by People. Driven by Innovation. Guided by Integrity. For more information, visit or follow us on LinkedIn. Media Contact:Kristine ReederDirector, MarketingBuilding Controls & View original content to download multimedia: SOURCE Building Controls & Solutions

How Quantum Algorithms Will Revolutionize AI
How Quantum Algorithms Will Revolutionize AI

Forbes

time09-07-2025

  • Science
  • Forbes

How Quantum Algorithms Will Revolutionize AI

Sadhasivam Mohanadas Enterprise Architect|Quantum-AI Researcher|AI & Digital Health Leader |Member:IEEE/IET/BCS|Innovating tech for humanity Quantum computing exists beyond the realm of science fiction. Technology is now integrating with artificial intelligence to transform machine learning capabilities, adaptation and reasoning abilities. Quantum machine learning (QML) combines quantum computing principles with artificial intelligence to solve problems that classical algorithms struggle to address. The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data. The AI Bottleneck Classical machine learning has achieved impressive results, but it faces obstacles. Deep learning models demonstrate strong capabilities, yet they face challenges when dealing with extensive data sets, high-dimensional data and noisy inputs. Training time increases sharply. Model tuning becomes inefficient. Real-time decision making turns into computationally expensive. These are signs that classical systems are near their scaling limits. Quantum computing offers a way forward. QML systems use quantum states to encode data, while superposition and entanglement properties enable them to explore extensive solution spaces with greater efficiency. Quantum models perform simultaneous evaluations of multiple pathways, rather than testing them sequentially. What Makes QML Different QML implements quantum algorithms to solve machine learning problems. The process requires quantum circuits to perform data encoding, followed by transformation steps and pattern extraction. The development of quantum support vector machines (QSVMs) and quantum neural networks (QNNs) represents initial attempts to break through classical processing barriers. The quantum kernel-based QSVMs transform data into high-dimensional feature spaces with reduced computational requirements. These algorithms excel in solving problems that traditional SVMs cannot handle effectively. QNNs function through quantum gates and variational circuits, which duplicate classical neuron behavior but work in quantum superposition states. QNNs achieve better generalization across large datasets through their reduced number of parameters. Real-World Applications: From Molecules To Money QML exists beyond its status as a laboratory curiosity. The healthcare industry uses quantum-enhanced models to develop better protein structure prediction methods and biomarker discovery techniques. Scientists use quantum-scale molecular simulations to accelerate the development of new drugs through their pipelines. QML enables fraud detection through its ability to identify intricate transaction patterns within noisy, nonlinear data. Quantum kernels demonstrate superior performance to traditional feature engineering methods when the decision boundary remains difficult to separate. The field of cybersecurity continues to expand as a new frontier. Large-scale network anomaly detection requires adaptive learning systems that operate at high speeds. QNNs learn to identify normal versus suspicious behavior using reduced resources when they operate with classical preprocessing techniques. Technology Under The Hood The advancement of quantum computing depends on three fundamental quantum principles. Quantum bits, known as qubits, maintain multiple states simultaneously because of superposition. Entanglement produces correlations between qubits that exceed the capabilities of classical bits. The interference process enhances the search space by strengthening correct solutions while eliminating incorrect ones. Many QML models rely on variational quantum circuits as their basic structure. The systems consist of quantum components whose parameters can be adjusted through classical optimization methods. The hybrid model unites quantum processing with classical feedback through its operation. The Learning Mechanics Of Quantum Models The process of training quantum machine learning models requires more than substituting classical neurons with quantum circuits. The core operation of QML systems combines quantum data encoding with parameterized quantum circuits and classical optimizers. The VQA (variational quantum algorithm) loop represents the fundamental process of this system. The initial requirement is to convert classical data into quantum states through the process known as quantum feature mapping. The selection of encoding methods between amplitude and basis encoding affects the model's ability to efficiently represent complex relationships. The next step involves applying a parameterized quantum circuit, which is also known as an ansatz. The model's behavior depends on the configuration of tunable quantum gates that exist within these circuits. The processing of quantum data occurs in parallel across multiple states because of superposition, while entangled qubits enable feature correlation between distant points. The quantum output becomes a classical signal after measurement takes place. The quantum circuit parameters receive adjustments from the classical optimizer, gradient descent, to minimize the loss function output. The process continues to run multiple times until the system achieves convergence. Quantum systems demonstrate superior performance in expressing nonlinear functions at lower resource levels, particularly when performing kernel-based learning tasks. The learning process of QML models becomes slow because of barren plateaus, which represent areas in the parameter space where gradients become zero. Scientists are actively working on developing improved ansatz architectures and loss landscapes to address these system limitations. The maturation of this field will reveal quantum advantages for solving complex real-world learning problems. Tooling, Platforms And Readiness The development of QML can be tested through open-source frameworks that are already available. The libraries of IBM Qiskit, Xanadu's PennyLane and Google's Cirq allow developers to construct quantum circuits, execute hybrid models and simulate their results. These platforms provide interfaces that connect quantum hardware with Python-based ML environments that developers already know. Still, challenges remain. NISQ (noisy intermediate-scale quantum) systems represent the current quantum devices that operate with noise and restricted scale. These systems lack the ability to process big production workloads. The yearly progress in error correction, circuit depth and qubit stability continues to advance technology. Multiple enterprises have started QML pilot programs for risk modeling and optimization and process automation. Governments, together with venture capital firms, invest in scalable quantum startups, which indicates growing momentum beyond academic laboratories. A Hybrid Future Machine learning will not exist solely in quantum form in the future. It is a hybrid. QML will solve problems that classical AI cannot handle, although classical AI will continue to dominate most applications. The next generation of intelligent systems will emerge from the combination of AI and quantum computing as quantum hardware advances and quantum software ecosystems expand. Early adopters have a window to explore, experiment and lead. Organizations dealing with high-dimensional data challenges should establish quantum literacy while investing in hybrid architecture and working with quantum innovators at present. The frontier of intelligence is no longer theoretical. It is here. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?

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