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New York, US, April 27, 2023 (GLOBE NEWSWIRE) — According to a comprehensive research report by Market Research Future (MRFR), “Image Signal Processor Market Research Report: By Component, Image Processing Method, Image Type, Technology, Application – Forecast Till 2030, the market is anticipated to acquire a valuation of approximately USD 8.2 Billion by the end of 2030. The reports further predict the market to flourish at a robust CAGR of over 9.20% during the assessment timeframe.
Image Signal Processor Market Key Players
The key players in the ISP market include
- Samsung Electronics Co., Ltd.,
- Qualcomm Technologies, Inc.,
- Sony Corporation,
- OmniVision Technologies, Inc.,
- ON Semiconductor,
- STMicroelectronics N.V.,
- Himax Technologies, Inc.,
- Pixelplus Co., Ltd.,
- Canon Inc., and
- SK Hynix Inc.
The global Image Signal Processor market is expected to grow at a significant rate in the coming years. Market Research Future (MRFR) has conducted a thorough study on the ISP market and has revealed key insights on the market trends, drivers, challenges, market segmentation, regional analysis, industry trends, key players, recent developments, and opportunities.
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|Revenue forecast in 2030||USD 8.2 Billion|
|Growth Rate||CAGR of 9.20% from 2022 to 2030|
|Key Market Opportunities||The miniaturization of SoCs and advancements in artificial intelligence (AI) technology.|
|Key Market Drivers||Increasing demand for video analytics to transform the raw data into a visible image.|
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Drivers of Image Signal Processor Market
The demand for advanced imaging technologies, such as high-resolution cameras, 3D imaging, and augmented reality, is driving the growth of the ISP market. The ISP technology is essential for enhancing image quality and reducing noise, thus improving the overall visual experience.
Moreover, the increasing demand for smartphones with advanced camera capabilities, such as multiple lenses and high zoom, is also contributing to the growth of the ISP market. The ISP technology is crucial for capturing and processing high-quality images and videos.
Furthermore, the rising demand for security and surveillance systems is also driving the demand for ISP technology. The ISP technology is used for processing images captured by security cameras and enhancing their quality for better analysis and identification.
Challenges in Image Signal Processor Market
One of the major challenges faced by the Image Signal Processor Market is the high cost of advanced ISP technologies. The high cost of ISP technology limits its adoption in budget smartphones and entry-level cameras, thus restricting the growth of the market.
Another challenge is the complexity of the ISP technology. The ISP technology involves complex algorithms and processing techniques, which require specialized skills and knowledge. This complexity makes it difficult for small and medium-sized companies to develop ISP solutions and compete with established players.
Market Segmentation and Regional Analysis
The Image Signal Processor Market is segmented based on component, image processing type, application, and region.
Based on the component, the Image Signal Processor Market is segmented into hardware and software. The hardware segment is further segmented into sensors, processors, and others.
Based on the image processing type, the ISP market is segmented into noise reduction, image enhancement, and others.
Based on the application, the ISP market is segmented into smartphones, cameras, security and surveillance, automotive, and others.
Based on the region, the ISP market is segmented into North America, Europe, Asia-Pacific, and the Rest of the World.
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The ISP market is witnessing several industry trends, such as the integration of ISP technology with artificial intelligence (AI) and machine learning (ML) algorithms. This integration enables advanced image processing and analysis, such as facial recognition and object detection.
Recent Developments in Image Signal Processor Market
One of the major recent developments in the ISP market is the integration of ISP technology with artificial intelligence (AI) and machine learning (ML) algorithms. This integration enables advanced image processing and analysis, such as facial recognition and object detection. Several companies, such as Samsung Electronics Co., Ltd. and Qualcomm Technologies, Inc., have developed ISP solutions that incorporate AI and ML algorithms.
In August 2022, Qualcomm Technologies, Inc. announced the launch of its latest ISP solution, the Snapdragon 778G 5G Mobile Platform. The ISP solution is designed to deliver superior image quality and performance for high-end smartphones. The Snapdragon 778G incorporates advanced ISP technology, such as noise reduction and image enhancement, to produce high-quality images and videos.
Another recent development in the Image Signal Processor Market is the development of ISP solutions for automotive applications. Several companies, such as Sony Corporation and ON Semiconductor, have developed ISP solutions for automotive cameras, which are used for advanced driver assistance systems (ADAS) and autonomous driving.
Opportunities in Image Signal Processor Market
The increasing demand for ISP technology in emerging markets, such as India and China, presents significant growth opportunities for the ISP market. The growing population and rising disposable income in these countries are driving the demand for smartphones and advanced camera technologies, thus creating a lucrative market for ISP solutions.
Moreover, the increasing adoption of ISP technology in security and surveillance systems presents significant opportunities for the Image Signal Processor Market. The demand for advanced security and surveillance systems, such as facial recognition and object detection, is increasing, which requires advanced ISP technology for image processing and analysis.
Furthermore, the increasing demand for ISP technology in healthcare applications presents significant opportunities for the ISP market. The use of ISP technology in medical imaging, such as X-rays and MRIs, can enhance image quality and provide more accurate diagnoses.
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The global Image Signal Processor (ISP) market has witnessed significant developments in recent years, such as the integration of ISP technology with AI and ML algorithms and the development of ISP solutions for automotive applications. Moreover, the increasing demand for ISP technology in emerging markets, security and surveillance systems, and healthcare applications presents significant growth opportunities for the ISP market. The ISP market is expected to grow at a significant rate in the coming years, driven by the demand for advanced imaging technologies and the increasing adoption of ISP technology in various applications.
Printed Electronics Market Research Report – Forecast 2027
About Market Research Future:
Market Research Future (MRFR) is a global market research company that takes pride in its services, offering a complete and accurate analysis regarding diverse markets and consumers worldwide. Market Research Future has the distinguished objective of providing the optimal quality research and granular research to clients. Our market research studies by products, services, technologies, applications, end users, and market players for global, regional, and country level market segments, enable our clients to see more, know more, and do more, which help answer your most important questions.
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Cisco Doubles Down on Network Assurance with AWS
Cisco delivers seamless integration between ThousandEyes and Amazon CloudWatch Internet Monitor.ThousandEyes’ unmatched cloud and Internet visibility combined with AWS’s Internet health and performance insights will allow a complete view of an application’s entire service delivery path, across private environments, the public Internet and into AWS’s network.Customers benefit from new operational insights and recommendations enabling them to optimize deployments and assure exceptional digital experiences for any AWS-hosted application.LAS VEGAS, Nov. 28, 2023 /PRNewswire/ — AWS re:Invent — Today at AWS re:Invent 2023, Cisco (NASDAQ: CSCO) announced new integrations between Cisco ThousandEyes and Amazon CloudWatch Internet Monitor (CWIM), a new Internet monitoring service from Amazon Web Services (AWS). The first-of-its-kind integration empowers customers with unparalleled visibility into their cloud deployments, enabling them to deliver unmatched optimized digital experiences.
With this new integration, customers can leverage operational insights to ensure optimal placement of AWS instances and monitoring coverage based on user traffic profiles. This integration comes on the heels of ThousandEyes announcing AWS Network Path Enrichment, giving customers deeper visibility into AWS by enriching ThousandEyes Path Visualization with data from AWS data sources—helping customers work more collaboratively with providers to resolve issues that are impacting application performance.
Building upon the existing relationship between AWS and Cisco, the new integration demonstrates Cisco’s deep commitment to its end-to-end network assurance vision. Cisco securely and sustainably connects everyone to everything and assures the digital experience of every one of those connections. By working with AWS, Cisco is delivering on its promise to provide visibility into every domain that impacts digital experience—whether user, enterprise, Internet, or cloud—so it can ultimately provide artificial intelligence (AI)-driven insights, recommendations, and remediations to support the digital transformation of every customer, wherever they are on their journey.
“Since launching one year ago, Amazon CloudWatch Internet Monitor has delivered real-time insights into the traffic and performance of our customers’ AWS VPCs, CloudFront distributions, and Workspaces towards Internet destinations. In-depth Internet visibility is critical to our customers, so we’re excited to combine forces with ThousandEyes to provide a comprehensive view of Internet health.” — Robert Kennedy, VP of AWS Border Network Engineering, AWS
“Connectivity is key to Sutherland’s business model and to our customer interactions. Cloud visibility is a big part of that and with ThousandEyes’ end-to-end visibility all the way from our employees’ home environments to AWS, we’re able to quickly catch and resolve issues which allows us to deliver consistent high-quality application experiences to both our employees and customers.”—Ted Sanfilippo, VP Infrastructure, Head of Global Network Services and GTOC, Sutherland
“Customers today need to assure digital experiences over any network—the ones they own and the ones they don’t. As the leader in Internet visibility, Cisco is on a mission to deliver unmatched, end-to-end network assurance. Today’s integration with AWS demonstrates our shared commitment to empower our customers to more effectively monitor and manage their cloud environments.”— Mohit Lad, Senior Vice President and General Manager, Network Assurance, Cisco, and Co-Founder, ThousandEyes
For more information and live demos visit ThousandEyes at AWS re:Invent at booth #1621. Join our Lightning Talk on the exhibit floor: NET102-S, “Extending ThousandEyes visibility to the AWS network,” November 28 at 3:30 PM – 3:50 PM (PDT)
The Amazon CloudWatch Internet Monitor integration will be available in Cisco ThousandEyes in spring 2024. The ThousandEyes platform is available for purchase today in AWS Marketplace.Additional Resources
ThousandEyes Announcement BlogAWS Marketplace: CiscoCisco at AWS re:Invent 2023Additional Cisco news at AWS re:InventAbout CiscoCisco (NASDAQ: CSCO) is the worldwide technology leader that securely connects everything to make anything possible. Our purpose is to power an inclusive future for all by helping our customers reimagine their applications, power hybrid work, secure their enterprise, transform their infrastructure, and meet their sustainability goals. Discover more on The Newsroom and follow us on X at @Cisco. Cisco and the Cisco logo are trademarks or registered trademarks of Cisco and/or its affiliates in the U.S. and other countries. A listing of Cisco’s trademarks can be found at www.cisco.com/go/trademarks. Third-party trademarks mentioned are the property of their respective owners. The use of the word partner does not imply a partnership relationship between Cisco and any other company.
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Artificial Neural Network Market to Reach $1.4 Billion by 2032 at 19.9% CAGR: Allied Market Research
The growing demand for AI-based solutions and the rising need for intelligent business processes are expected to drive the global artificial neural network market growth.
NEW CASTLE, Del., Nov. 28, 2023 /PRNewswire/ — Allied Market Research published a report, titled, “Artificial Neural Network Market by Component (Solution and Service), Deployment Mode (On-premise and Cloud), Enterprise Size (Large Enterprises and Small & Medium-sized Enterprises), and Industry (Healthcare, BFSI, Retail and E-commerce, Manufacturing, Automotive, and Others): Global Opportunity Analysis and Industry Forecast, 2022–2032”. According to the report, the artificial neural network industry generated $227.8 million in 2022 and is anticipated to generate $1.4 billion by 2032, witnessing a CAGR of 19.9% from 2023 to 2032.
Prime determinants of growth
The notable factors positively affecting the artificial neural network market include the growing demand for AI-based solutions and the rising need for intelligent business processes. However, a lack of computational resources and a skilled workforce with expertise in artificial neural network (ANN) can hinder market growth. Furthermore, advancements in big data analytics and the availability of high-performance computing systems offer lucrative market opportunities for the market players.
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Report coverage & details:
Market Size in 2022
Market Size in 2032
No. of Pages in Report
Component, Deployment Mode, Enterprise Size Industry, and Region.
Growing demand for AI-based solutions
The rising need for intelligent business processes
Advancements in big data analytics.
The availability of high-performance computing systems.
A lack of computational resources and a skilled workforce with expertise in artificial neural network (ANN)
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The solution segment to maintain its leadership status throughout the forecast period
Based on component, the solution segment held the highest market share in 2022, accounting for less than two-fifths of the artificial neural network market revenue, and is estimated to maintain its leadership status throughout the forecast period. This is attributed to the growing need for a high level of personalization which is one of the primary reasons enterprises are increasing their investment in the artificial neural network market. However, the services segment is projected to manifest the highest CAGR of 21.8% from 2023 to 2032. The services segment is expected to witness the highest growth, as these services help to reduce the time and costs associated with optimizing systems in the initial phase of deployment.
The on-premise segment to maintain its lead position during the forecast period
Based on deployment mode, the on-premise segment accounted for the largest share in 2022, contributing for more than one-fourth of the artificial neural network market revenue. An increase in the need for secure and reliable data within the organization is fueling the market growth for on-premises-based artificial neural network solutions. However, the cloud segment is expected to portray the largest CAGR of 21.2% from 2023 to 2032 and is projected to maintain its lead position during the forecast period. It provides several advantages such as reducing costs, supporting business, and effectively controlling the business environment in the organization.
The large enterprises segment to maintain its lead position during the forecast period
Based on enterprise size, the large enterprises segment accounted for the largest share in 2022, contributing for more than one-fourth of the artificial neural network market revenue, owing to the growing demand for artificial neural network solutions in large enterprises which is fueling the market growth in these enterprises. However, the small and medium-sized enterprises segment is expected to portray the largest CAGR of 22.2% from 2023 to 2032 and is projected to maintain its lead position during the forecast period. It provides various benefits to the small and medium-sized enterprises organization.
The healthcare segment to maintain its lead position during the forecast period
Based on industry vertical, the healthcare segment accounted for the largest share in 2022, contributing for less than two-fifths of the artificial neural network market revenue, owing to the development of digital technologies in IT sector. However, the manufacturing segment is projected to manifest the highest CAGR of 24.3% from 2023 to 2032. The surge in implementation of automation trends and the increase in utilization of digital technology in this sector are expected to provide lucrative opportunities for the market.
North America region dominated the global artificial neural network market in 2022
Based on region, the North America segment held the highest market share in terms of revenue in 2022, accounting for less than two-fifths of the artificial neural network market revenue. The increase in the usage of artificial neural network solutions in businesses to improve businesses and the customer experience is anticipated to propel the growth of the market in this region. However, the Asia-Pacific segment is projected to manifest the highest CAGR of 21.8% from 2023 to 2032. Countries such as China, India, and South Korea are at the forefront, embracing digital technologies to enhance their effectiveness and competitiveness, which is further expected to contribute to the growth of the market in this region.
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Recent Product launches in the Artificial Neural Network Market
In April 2023, Google LLC launched a cloud-based automation toolkit for healthcare organizations and previewed Med-PaLM 2, a neural network capable of answering medical exam questions.In August 2021, IBM Corporation unveiled details of the upcoming new IBM Telum Processor designed to bring deep learning inference to enterprise workloads to help address fraud in real-time..Recent Partnerships in the Artificial Neural Network Market
In June 2023, Snowflake partnered with Microsoft to simplify joint customers’ artificial intelligence projects. A core focus of the collaboration is Microsoft’s Azure OpenAI Service. It provides cloud-based versions of OpenAI LP’s machine learning models, including GPT-4.In November 2021, Qualcomm Technologies partnered with Google Cloud, on Neural Architecture Search (NAS), enabling the companies to create and optimize AI models automatically rather than manually.Leading Market Players: –
Amazon Web Services Inc. Google Inc. Hewlett Packard Enterprise Development LP IBM Corporation Intel Corporation Microsoft Corporation NVIDIA Corporation Oracle Corporation Qualcomm Technologies Inc. Salesforce Inc.The report provides a detailed analysis of these key players in the artificial neural network market. These players have adopted different strategies such as new product launches, collaborations, expansion, joint ventures, agreements, and others to increase their market share and maintain dominant shares in different countries. The report is valuable in highlighting business performance, operating segments, product portfolio, and strategic moves of market players to showcase the competitive scenario.
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We are in professional corporate relations with various companies, and this helps us in digging out market data that helps us generate accurate research data tables and confirms utmost accuracy in our market forecasting. Allied Market Research CEO Pawan Kumar is instrumental in inspiring and encouraging everyone associated with the company to maintain high quality of data and help clients in every way possible to achieve success. Each and every data presented in the reports published by us is extracted through primary interviews with top officials from leading companies of domain concerned. Our secondary data procurement methodology includes deep online and offline research and discussion with knowledgeable professionals and analysts in the industry.
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New process definition capabilities in PIMS further enhance quality assurance and “right -first-time” initiatives for pharma manufacturers
WOKING, England, Nov. 28, 2023 /PRNewswire/ — IDBS unveils new process definition templates in its latest release, PIMS 5.1. Process definition templates enable pharma manufacturers to template process steps and quality specifications for faster process definition set-up and improved harmonization across the manufacturing teams to further enhance quality assurance (QA) and “right-first-time” initiatives.
Providing contextualized access to aggregated manufacturing data, PIMS offers a single source of data truth for efficient gathering, sharing and analysis of critical manufacturing process and quality data to support continued process verification (CPV), investigations and process optimization.
This release builds on recent PIMS’ process definition enhancements that added process definition versioning and approvals to help alleviate manual standard operating procedure (SOP) requirements and enhance QA for a more robust GxP environment.
PIMS’ customers report that these standardized process definition templates will reduce their manual process definition set-up and enable easy, harmonized site and product comparisons.
“Our customers recognize the value of being able to trace their process data over time, not only for tech transfer but also to help them learn from their historical data and optimize future process development,” says Pietro Forgione, General Manager at IDBS. “Having their critical process data in PIMS already gives them the assurance of data integrity and these new enhancements now make it even easier to complete QA and validation steps and move them closer to ‘right-first-time’ manufacturing.”
To learn more, register for the December 6 webinar here.
IDBS helps BioPharmaceutical organizations accelerate the discovery, development and manufacturing of the next generation of life-changing therapies that advance human health worldwide. From lab through manufacturing, IDBS leverages its 30+ years of experience working with a diverse list of customers – including 18 of the top 20 global BioPharma companies – and deep expertise in scientific informatics and process data management to tackle today’s most complex challenges.
Known for its signature IDBS E-WorkBook product, IDBS has extended solutions across the entire value chain for BioPharma Lifecycle Management (BPLM). Built on analytics-centric and cloud-native technology, IDBS Polar and Skyland PIMS platforms are powered by a digital data backbone to drive faster and smarter decisions in drug development and across the supply chain.
Learn more at idbs.com.
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