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China Smart Agriculture and Autonomous Agricultural Machinery Market Report, 2022

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New York, June 20, 2022 (GLOBE NEWSWIRE) — Reportlinker.com announces the release of the report “China Smart Agriculture and Autonomous Agricultural Machinery Market Report, 2022” – https://www.reportlinker.com/p06286412/?utm_source=GNW
Since 2022, the FAO (Food and Agriculture Organization) Food Price Index (FFPI) of has been soaring.

The No.1 central document, which is issued by China’s central authorities in 2022, pointed out, “We must firmly hold the bottom lines of guaranteeing China’s grain security and ensuring there will be no large-scale return to poverty.” It also called for greater efforts in the construction of digital villages, development of smart agriculture, as well as integrated application of information technology, agricultural machinery and agronomy. The outline of the “14th Five-Year Plan” mentioned that it is necessary to accelerate the development of smart agriculture and promote the digital transformation of agricultural production, operation and management services. The government’s work report in 2022 stipulated “the development of digital villages” for the first time, signaling an important way to realize the modernization of agriculture and rural areas.

The CAGR of China’s smart agriculture market size exceeds 14.1%, and agricultural digitalization generates a potential market

It is estimated that by 2025, the total output value of smart agriculture in the world will reach USD68.389 billion. In Asia-Pacific, the fastest growing region, smart agriculture mainly includes precision agriculture in fields, smart animal husbandry, smart fishery, and smart greenhouses; main technologies include remote sensing and sensor systems, agricultural big data and cloud service technology, intelligent agricultural equipment (UAVs, robots).

According to UN projections on population and hunger, the global population will increase by 2 billion by 2050, and agricultural productivity will need to increase by 60% to provide adequate food. Artificial intelligence and machine learning are likely to be at the core of new technologies to help close the gap in anticipated food needs for an additional 2 billion people worldwide by 2050. Global spending on connected smart farming technologies and systems, including artificial intelligence and machine learning, will grow significantly in the future.

In China, the increasing demand for modern agricultural machinery and the continuous R&D and application of new technologies will promote the sustained and rapid growth of the smart agriculture market. Driven by stimuli such as the national rural revitalization strategy and the national digital agriculture strategy, a potential agriculture market appeals to giants like Alibaba, JD.com, Baidu, and Tencent that have deployed smart agriculture to promote the construction of smart agriculture in China.

Smart agriculture is the starting point of rural revitalization. The encouragement and benefits at the macro level have spurred a large number of technology companies to smart agriculture, covering all sectors ranging from production to marketing. More and more technology start-ups bring a lot of capital while flocking into smart agriculture construction.

In the future, smart agriculture will see rapid growth under the influence of favorable policies, application of innovative technologies and capital support.

Smart agriculture is widely used at the micro level, with the top-level design in the planning and design stage

When it comes to smart agriculture, agricultural planting is in the spotlight. The main technologies involved herein include intelligent water and fertilizer integration, agricultural IoT monitoring, satellite remote sensing/meteorology/UAV-based aerial surveys with remote sensing, plant protection UAVs, autonomous agricultural machinery, and plant chemical factories. However, smart agriculture is far more than just agricultural planting where application cases are ubiquitous.

Smart agriculture covers the entire industrial chain of agricultural production, distribution and marketing, mainly including four application scenarios: digital agriculture (data platform services), plant protection UAVs, precision agriculture, and autonomous agricultural machinery. It is widely used in agricultural planting and animal husbandry. Wherein, data platform services and plant protection UAVs account for 75% of the total.

In China, there are many smart agriculture projects, and UAVs and autonomous agricultural machinery have developed rapidly. Chinese products can compete with foreign counterparts. The development potential of UAVs and autonomous agricultural machinery is enormous. However, China is still planning smart agriculture with the ongoing top-level design:

The construction of big data platforms is relatively late: the Big Data Center of the Ministry of Agriculture and Rural Affairs of China (MARA) was established in 2021. The top-level design of China’s agricultural and rural big data system construction has entered the stage of practical operation; by contrast, foreign agricultural big data platforms have developed for more than ten years, for example, the United States started building agricultural informatization in the 1950s, and supported smart agriculture through the establishment of agricultural informatization systems and agricultural databases with the state as the entity.

The top-level design of digital villages is being planned: since 2021, domestic local governments and Internet companies have launched their own top-level design for digital villages, such as 2021 Pukou’s suburban digital villages, Tencent’s top-level design for digital villages, the overall architecture of Alibaba Cloud Big Data Center, Tencent’s digital village system architecture, China Unicom’s overall digital village architecture, and Huawei’s overall business architecture for digital agriculture and rural areas. The top-level design has not yet been implemented. Mostly, the projects about autonomous planting, breeding and regional big data analysis platforms have been performed.

The UAV market is highly concentrated: 160,000 agricultural UAVs existed in China in 2021 with a year-on-year increase of 60%, and they served over 1.4 billion mu of land. DJI and XAG occupy more than 90% market share.

The pattern of autonomous agricultural machinery industry is unsettled: China’s best-selling autonomous agricultural machinery systems in 2021 included those from Heilongjiang Huida Technology Development Co., Ltd., Shanghai CHCNAV Co., Ltd. and Hunan Xiangshu Big Data Technology Co., Ltd. which adopted the BeiDou Navigation Satellite System. In 2021, the sales pattern of the BeiDou Navigation Satellite System changed significantly, and the dark horse sprung up, as a result of the sharp drop in the price of automatic navigation equipment.

Autonomous agricultural machinery has seen a higher sales volume but a lower price. It is experiencing a mature development period, with the market penetration rate swelling
In recent years, China’s autonomous agricultural machinery systems have developed radically. They have been just applied in northern regions (Xinjiang and Heilongjiang), while they are still in the germination stage in other areas of China where the farmland scale is moderate. Despite the regional imparity, China’s autonomous agricultural machinery systems as a whole have been growing swiftly.

More than 65,000 sets of the BeiDou Navigation Satellite System had been deployed for agricultural machinery as of 2021 when China might boast over 4.6 million domestic large and medium-sized agricultural tractors, which means the penetration rate of autonomous agricultural machinery systems was 1.4%. Among agricultural machinery, tractors are the first that realize autonomous driving in China. It is expected that the penetration rate of autonomous agricultural machinery systems will reach 6.5% by 2025 and about 20% by 2035.

The penetration rate of autonomous agricultural machinery systems in China is much lower than that in Europe and the United States. The EU plans to have 50% of agricultural machinery equipped with automatic navigation driving systems by 2025. According to Purdue University, the penetration rate of automatic navigation for agricultural machinery in the US hit 90% in 2019.

In 2020, the average price of autonomous agricultural machinery systems and equipment in China was RMB50,000-60,000 per set. In 2021, the substantial reduction in the subsidy standard dragged down the average price of automatic navigation equipment to only RMB36,000 per set.

With the completion of the ground base station network and the improvement of agricultural electrical control systems, the price of China’s autonomous agricultural machinery systems and equipment will decline slowly in the future, may be less than RMB25,000 per set by 2025.

In March 2022, China Association of Agricultural Machinery Manufacturers, China Agricultural Mechanization Herald, and China Agricultural Machinery Distribution Association jointly released the 2021 Best-selling Agricultural Machinery List (by the sales volume of subsidized agricultural machinery as of December 31, 2021), honoring Heilongjiang Huida Technology Development Co., Ltd., Shanghai CHCNAV Co., Ltd. and Hunan Xiangshu Big Data Technology Co., Ltd. which adopted the BeiDou Navigation Satellite System, as well as praising Heilongjiang Huida Technology Development Co., Ltd., Golden Field Technology Co., Ltd. and Beijing Agricultural Intelligent Equipment Technology Research Center for their best-selling agricultural operation monitoring terminals.
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Artificial Intelligence

Healthcare Artificial Intelligence Market to Be Worth $176.4 Billion by 2031 – Exclusive Report by Meticulous Research®

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REDDING, Calif., May 23, 2024 /PRNewswire/ — According to a new market research report titled, ‘Healthcare Artificial Intelligence Market by Offering (Software, Services), Technology (ML, NLP), Application (Hospital Workflow Management, Patient Management), End User (Hospitals & Diagnostic Centers), and Geography – Global Forecast to 2031’, the global healthcare artificial intelligence market is projected to reach $176.4 billion by 2031, at a CAGR of 31.3% from 2024–2031.

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Healthcare is one of the most critical sectors in the broader landscape of big data because of its fundamental role in a productive, thriving society. AI in healthcare is a term used to describe the application of machine learning (ML) algorithms and other cognitive technologies in medical settings. AI helps to assist doctors, nurses, and other healthcare workers in their daily work. AI in healthcare enhances preventive care and quality of life, produces more accurate diagnoses and treatment plans, and leads to better patient outcomes overall. AI in healthcare helps to predict and track the spread of infectious diseases by analyzing data from government, healthcare, and other sources.
The growth of the healthcare artificial intelligence market is driven by the growing demand for personalized therapy, the rise in the volume and complexities associated with healthcare datasets, and the rising need to reduce healthcare costs. However, reluctance to adopt AI technologies due to a lack of trust restrains the growth of this market. Moreover, the growing potential of AI-based tools in the treatment of chronic and infectious diseases and the rising incorporation of AI in clinical trials to accelerate new drug launches are expected to generate market growth opportunities. However, discrepancies arising due to upgrades and human barriers to AI adoption are major challenges for market stakeholders. Additionally, growing AI-based clinical decision support systems (CDSS) to identify patient risk are prominent trends in this market.
The global healthcare artificial intelligence market is segmented by offering (software, hardware, and services [installation & integration and support & maintenance]), technology (machine learning, natural language processing, context-aware processing, and querying method), application (drug discovery, hospital workflow management, patient data & risk analytics, medical imaging & diagnosis, patient management, precision medicine, and other applications), end user (hospitals & diagnostic centers, pharmaceutical & biotechnology companies, healthcare payers, patients, and other end users). The study also evaluates industry competitors and analyzes the market at geographical levels.
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Based on offering, in 2024, the software segment is expected to account for the largest share of the global healthcare artificial intelligence market. However, the services segment is projected to register the highest CAGR during the forecast period due to the rising incorporation of AI services in clinical trials to accelerate new drug launches, the rising adoption of AI services to help reduce human error, assist medical professionals and staff, the increasing need for analyzing data to identify potential health issues.
Based on technology, in 2024, the natural language processing segment is expected to account for the largest share of the global healthcare artificial intelligence market. The segment’s large share is attributed to the growing ability to collect large amounts of data and handle big data, the rising need to organize physician documentation, and the increasing use of efficient back-end coding to optimize billing procedures. Additionally, this segment is expected to register the highest CAGR during the forecast period.
Based on application, in 2024, the hospital workflow management segment is expected to account for the largest share of the global healthcare artificial intelligence market. The segment’s large share is attributed to the increasing use of chatbots for customer service engagement, the growing adoption of automated tasks, improved patient care coordination, reduced costs, and the increasing use of AI in hospitals to improve patient experience and care. Additionally, this segment is expected to register the highest CAGR during the forecast period.
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Based on end user, in 2024, the hospitals & diagnostic centers segment is expected to account for the largest share of the global healthcare artificial intelligence market. The segment’s large share is attributed to the growing need to improve the speed and accuracy of patient visits, leading to faster and more personalized care and the growing adoption of AI to improve accuracy, reduce costs, and save time compared to traditional diagnostic methods. Additionally, this segment is expected to register the highest CAGR during the forecast period.
Based on geography, in 2024, North America is expected to account for the largest share of the global healthcare artificial intelligence market. The healthcare industry in North America has swiftly used AI to increase efficiency, productivity, and consumer experiences. The rising incorporation of AI in clinical trials to accelerate new drug launches and the growing demand for personalized therapy support the growth of this regional market.
However, the Asia-Pacific region is projected to register the highest CAGR during the forecast period. This region’s growth is driven by the growing need for coordination between the healthcare workforce and patients, remarkable growth in venture capital investments, the significant use of big data in the healthcare sector, and rising technological innovation.
The key players operating in the healthcare artificial intelligence market are NVIDIA Corporation (U.S.), Google LLC (U.S.) (A Subsidiary of Alphabet Inc.), Intel Corporation (U.S.), International Business Machines Corporation (U.S.), Microsoft Corporation (U.S.), GE HealthCare Technologies Inc. (U.S.), Amazon.com, Inc. (U.S.), Verint Systems Inc. (U.S.), General Vision, Inc. (U.S.), Siemens Healthineers AG (Germany), CloudMedx Inc. (U.S.), AltexSoft Inc. (U.S.), IQVIA Holdings Inc. (U.S.), Welltok, Inc. (U.S.), and iCarbonX (China).
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Scope of the Report:
Healthcare Artificial Intelligence Market, by Offering
SoftwareServicesInstallation & IntegrationSupport & MaintenanceHardwareHealthcare Artificial Intelligence Market, by Technology
Natural Language ProcessingContext-Aware ProcessingMachine LearningQuerying MethodHealthcare Artificial Intelligence Market, by Application
Drug DiscoveryHospital Workflow ManagementPatient Data & Risk AnalyticsMedical Imaging & DiagnosisPatient ManagementPrecision MedicineOther ApplicationsHealthcare Artificial Intelligence Market, by End User
Hospitals & Diagnostic CentersPharmaceutical & Biotechnology CompaniesHealthcare PayersPatientsOther End UsersHealthcare Artificial Intelligence Market, by Geography
North AmericaU.S.CanadaEuropeGermanyU.K.FranceItalySpainRest of EuropeAsia-PacificJapanChinaIndiaSouth KoreaSingaporeRest of Asia-PacificLatin AmericaMiddle East & AfricaUnlock Opportunities: Buy Now- https://www.meticulousresearch.com/Checkout/39869176 
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Artificial Intelligence in Medical Diagnostics Market By Component (Software, Services), Specialty (Radiology, Cardiology, Neurology, Obstetrics/Gynecology, Oncology), Modality (MRI, CT, X-ray, Ultrasound), End User (Hospital, Diagnostic Center) – Global Forecast to 2029
Artificial Intelligence in Drug Discovery Market by Offering (Software, Service), Application (Target Discovery, Lead Identification, Clinical Testing), Therapy Area (Oncology, Cardiology, Neurodegenerative), Deployment, End User—Global Forecast to 2030
Related Blog:
Top 10 Companies in Healthcare Artificial Intelligence Market
About Meticulous Research®
Meticulous Research® was founded in 2010 and incorporated as Meticulous Market Research Pvt. Ltd. in 2013 as a private limited company under the Companies Act, 1956. Since its incorporation, the company has become the leading provider of premium market intelligence in North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa.
The name of our company defines our services, strengths, and values. Since the inception, we have only thrived to research, analyze, and present the critical market data with great attention to details. With the meticulous primary and secondary research techniques, we have built strong capabilities in data collection, interpretation, and analysis of data including qualitative and quantitative research with the finest team of analysts. We design our meticulously analyzed intelligent and value-driven syndicate market research reports, custom studies, quick turnaround research, and consulting solutions to address business challenges of sustainable growth.
Contact:Mr. Khushal BombeMeticulous Market Research Inc.1267 Willis St, Ste 200 Redding,California, 96001, U.S.USA: +1-646-781-8004Europe : +44-203-868-8738APAC: +91 744-7780008Email- [email protected] Visit Our Website: https://www.meticulousresearch.com/Connect with us on LinkedIn- https://www.linkedin.com/company/meticulous-researchContent Source: https://www.meticulousresearch.com/pressrelease/297/healthcare-artificial-intelligence-market-2031
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Digital Signal Processor Market worth $14.7 billion by 2029 – Exclusive Report by MarketsandMarkets™

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CHICAGO, May 23, 2024 /PRNewswire/ — The Digital Signal Processor market is projected to grow from USD 10.1 billion in 2024 and is estimated to reach USD 14.7 billion by 2029; it is expected to grow at a Compound Annual Growth Rate (CAGR) of 7.8% from 2024 to 2029 according to a new report by MarketsandMarkets™. The growth of the Digital Signal Processor market is driven by surging adoption of Internet of Things (IoT) and connected devices; increasing trend of digital signal processing in automotive industry; improvements in 5G technology and development of advanced communication infrastructure; and rising demand for Voice over Internet Protocol (VoIP) and Internet Protocol (IP) video services.

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Browse in-depth TOC on “Digital Signal Processor Market” 
250 – Tables75 – Figures320 – Pages
Digital Signal Processor Market Report Scope:
Report Coverage
Details
Market Revenue in 2024
$ 10.1 billion
Estimated Value by 2029
$ 14.7 billion
Growth Rate
Poised to grow at a CAGR of 7.8%
Market Size Available for
2020–2029
Forecast Period
2024–2029
Forecast Units
Value (USD Million/Billion)
Report Coverage
Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
Segments Covered
By Core, Configuration, Type, Category, IC Design, Application, End-User Industry and Region
Geographies Covered
North America, Europe, Asia Pacific, and Rest of World
Key Market Challenge
Navigating complexity and security challenges
Key Market Opportunities
Increasing demand for DSP chips in consumer electronics industry
Key Market Drivers
Surging adoption of Internet of Things (IoT) and connected devices
By core, Multi Core DSPs segment is projected to grow at a high CAGR of Digital Signal Processor market during the forecast period.
Multi-core Digital Signal Processors (DSPs) are revolutionizing the automotive industry by handling critical tasks like engine control, noise cancellation, and advanced driver-assistance systems (ADAS) in modern vehicles. As single-core DSPs face limitations due to increasing technological demands, multi-core DSPs offer enhanced performance through parallel processing, enabling real-time analysis and manipulation of audio signals for features like active noise cancellation. Their ability to create virtual partitions ensures the separation of safety-critical functions from non-critical ones, enhancing reliability and safety in automotive systems. Additionally, multi-core DSPs support mixed-criticality applications, simplifying development and certification processes while meeting stringent automotive safety standards like ISO 26262. Despite challenges like development complexity and safety considerations, multi-core DSPs provide future-proofing capabilities and are poised to play a vital role in delivering advanced features and functionalities in next-generation vehicles, making them indispensable in shaping the automotive industry’s technological advancements.
High-end segment in configuration will account for highest CAGR during the forecast period.
High-end Digital Signal Processors (DSPs) stand out in the market for their exceptional processing power, achieved through multi-core architectures, advanced instruction sets, and high clock speeds, enabling them to handle complex algorithms and real-time computations efficiently. These DSPs excel in high-performance computing tasks like real-time audio and video processing, medical imaging, and telecommunications infrastructure, leveraging parallel processing techniques for enhanced computational throughput. Customizable architectures, integration of peripheral interfaces, low latency, power efficiency, and robust security features further differentiate high-end DSPs, making them ideal for demanding applications across various industries like telecommunications and healthcare.
Application-specific DSPs in type segment in Digital Signal Processor market will account for the highest CAGR during the forecast period.
Application-specific DSPs find extensive use in areas such as automotive systems, consumer electronics, medical devices, and industrial automation. The increasing complexity and specialization of end-user applications, as well as the need for efficiency and performance gains within targeted domains are fueling the demand for application-specific DSPs. As industries continue to demand customized solutions to address specific challenges and requirements, the demand for application-specific DSPs is expected to grow.
Floating-point DSPs in category segment in Digital Signal Processor market will account for major market share during the forecast period.
Floating-point DSPs are a critical component of the digital signal processing market. The representation and manipulation of rational numbers using a minimum of 32 bits in floating-point DSPs are crucial for achieving high precision and dynamic range in signal processing tasks. By employing a format akin to scientific notation, with separate components for the mantissa and exponent, floating-point DSPs can accurately handle a wide range of numerical values, spanning from very small to very large magnitudes. This capability is essential in applications such as audio and video processing, scientific computing, and telecommunications, where precise representation and manipulation of data are paramount. Additionally, the ability to accommodate a broad spectrum of numerical values ensures that floating-point DSPs can effectively address the diverse computational requirements of modern signal processing algorithms across various industries, ultimately contributing to improved performance and efficiency in signal processing applications. Additionally, the increasing complexity of signal processing algorithms in fields such as wireless communication, multimedia, and radar systems drives the adoption of floating-point DSPs. These processors can efficiently handle complex algorithms and computations, meeting the evolving requirements of modern applications.
Embedded in IC Design segment is expected to account for the largest share during the forecast period.
Embedded Integrated Circuits (ICs) serve as invaluable companions to Digital Signal Processors (DSPs), enhancing their capabilities. Embedded ICs, like a talented supporting cast, handle essential behind-the-scenes work such as memory management, peripheral interfacing, and low-power operations. By offloading these tasks, the DSP can dedicate its processing power to core functions, improving overall system efficiency. Additionally, embedded ICs add functionality to DSP systems, acting as specialized tools like Analog-to-Digital Converters (ADCs) and Digital-to-Analog Converters (DACs). These tools enable the DSP to work with real-world signals effectively, making the system more comprehensive and capable. In essence, embedded ICs make DSPs more well-rounded by optimizing resource allocation and providing essential features for a fully functional system.
Audio Processing segment in DSP Market will account for largest share during the forecast period.
Audio processing stands as the dominant force within the Digital Signal Processor (DSP) market. This segment thrives on the escalating demand for immersive and high-fidelity audio experiences across consumer and professional domains. DSPs are essential in this realm due to the challenges posed by digital audio, such as noise, distortion, and other imperfections. They excel in tasks like noise reduction, equalization (EQ) for compensating speaker limitations, echo cancellation crucial for clear communication, audio enhancement with effects like reverb and spatial audio, and compression/decompression for efficient storage and transmission. Applications span across consumer electronics like smartphones, headphones, and TVs, where DSPs enhance audio quality and enable immersive experiences. In professional audio, DSPs power studio equipment for recording and mastering, live sound reinforcement systems, and broadcasting equipment for noise-free transmission. Growth is fueled by the demand for premium audio experiences, the proliferation of connected devices, and advancements in audio technologies like AI-powered processing and low-power DSPs, ensuring a dynamic and promising future for this segment within the DSP market.
Healthcare in end-user industry segment in Digital Signal Processor market will account for the highest CAGR during the forecast period.
Digital Signal Processors (DSPs) are revolutionizing the healthcare sector with their diverse applications, significantly enhancing diagnostics, medical devices, and biomedical research. In medical imaging, DSPs are indispensable for processing raw data from imaging machines like MRIs and CT scanners. They excel in tasks such as filtering noise, enhancing signals, and reconstructing detailed images critical for accurate disease diagnosis. Moreover, DSPs play a pivotal role in signal processing for diagnostics, particularly in analyzing weak electrical signals from the heart (ECG) and brain (EEG). By filtering noise and extracting key features, DSPs aid in diagnosing cardiac arrhythmias, epilepsy, and other neurological conditions. This principle extends to other diagnostic applications such as EMG for muscle function assessment and pulse oximetry for blood oxygen monitoring. Additionally, DSPs are integral to various medical devices and equipment, from modern hearing aids that personalize listening experiences to pacemakers and defibrillators that regulate heart rhythm with precision. Furthermore, DSPs contribute significantly to biomedical research by enabling signal analysis, feature extraction, and pattern recognition, driving advancements in drug discovery, disease understanding, and personalized medicine approaches. Overall, DSPs’ high-speed, accurate processing capabilities are transforming healthcare, enhancing diagnostics, improving medical devices, and accelerating biomedical research for better patient outcomes.
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Asia Pacific will account for the highest CAGR during the forecast period.
The Digital Signal Processor industry in the Asia Pacific region is experiencing significant growth, primarily fueled by the telecommunications sector’s due to rapid advancement in 5G technology. China and Japan are leading in 5G deployment, closely followed by India, driving the demand for DSPs. The APAC market is driven by the telecom sector’s high-speed internet needs and the increasing demand for advanced network infrastructure. As per GSMA’s “The Mobile Economy Asia Pacific 2023” report, the anticipated economic contribution of 5G to the Asia Pacific region in 2030 stands at a significant USD 133 billion, comprising over 13% of the total economic influence of mobile technology. In India, burgeoning opportunities in the telecom sector are propelling growth, driving the DSP market upward. Simultaneously, the surge in industrial automation across the Asia Pacific region is amplifying the demand for DSPs.
Key Players
Key companies operating in the Digital Signal Processor companies are Analog Devices, Inc. (US), Microchip Technology Inc. (US), Texas Instruments Incorporated (US), NXP Semiconductors (Netherlands), Marvell (US), Qualcomm Technologies, Inc. (US), Cirrus Logic, Inc. (US), STMicroelectronics (Switzerland), TOSHIBA ELECTRONIC DEVICES & STORAGE CORPORATION (Japan), Infineon Technologies AG (Germany), and Broadcom (US) among others.
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Enterprise Content Management Market worth $78.4 billion by 2029 – Exclusive Report by MarketsandMarkets™

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CHICAGO, May 23, 2024 /PRNewswire/ — Cloud usage, AI and machine learning for automation and analytics, and interaction with other enterprise systems are the key drivers of Enterprise Content Management’s (ECM) future. Improved user experience and mobility, increased security and compliance, and the creation of Content Services Platforms (CSPs) for more adaptable, user-centric solutions are among the focus areas.

The global Enterprise Content Management Market will grow from USD 47.6 billion in 2024 to USD 78.4 billion by 2029 at a compounded annual growth rate (CAGR) of 10.5% during the forecast period, according to a new report by MarketsandMarkets™.
Browse in-depth TOC on “Enterprise Content Management Market”
322 – Tables 63 – Figures354 – Pages
Download PDF Brochure @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=226977096
Scope of the Report
Report Metrics
Details
Market size available for years
2019–2029
Base year considered
2023
Forecast period
2024–2029
Forecast units
Value (USD Million/Billion)
Segments Covered
Offering, Organization Size, Business Function, Deployment Mode, and Vertical
Geographies Covered
North America, Europe, Asia Pacific, Middle East Africa, and Latin America
Companies Covered
Some of the significant enterprise content management market vendors are Microsoft (US), OpenText (Canada), Box (US), Hyland (US), IBM (US), Adobe (US), Xerox (US), Atlassian (Australia), KYOCERA Corporation (Japan), and Oracle (US).
The increasing volume of digital content drives the enterprise content management market, and organizations must manage it efficiently. With the rapid growth of data, organizations face challenges related to content creation, storage, retrieval, and security. ECM solutions help organizations streamline content management processes, improve collaboration, and ensure compliance with regulatory requirements. They enable organizations to access their content from anywhere, anytime, using any device, making them ideal for remote work environments and distributed teams. Additionally, ECM solutions eliminate the need for organizations to invest in expensive hardware and infrastructure, making them an attractive option for small and medium-sized businesses.
The increasing focus on regulatory compliance and data security drives the enterprise content management market. Organizations across various industries are subject to stringent regulations regarding managing and protecting sensitive information. ECM solutions help these organizations comply with regulations by providing features such as document encryption, access controls, audit trails, and records management.
The services segment is expected to capture the highest CAGR during the forecast period by offering segment.
The offering segment of the enterprise content management market is segmented into solutions and services. The services segment accounted for the highest CAGR during the forecasted period. Companies are one of the critical aspects of the enterprise content management market, which provide their customers with knowledge and assistance in implementing, customizing, and optimizing their ECM solutions. Implementation services become essential for all organizations that want to implement ECM solutions properly. These services include claiming, planning, and managing projects to adjust the ECM solution to align with the organization’s objectives and needs. Implementation services are also performed through tasks, including data migration, configuration, and integration with the existing systems, thus making an easy transition from the old ECM solution to the new one.
Moreover, this involves providing services such as training and change management that aim at cultivating the employees’ knowledge of how to use the system most effectively, enabling a smoother adoption process. Further, support & maintenance services are necessary for enterprises to be sure that the execution and operability of their ECM solutions are top-notch, secure, and stable. The services offered include technical assistance, troubleshooting, and software versions to solve problems and keep ECM software from encountering any issues. Secondly, managed services can be deployed with proactive monitoring, performance optimization, and system administration to take off a part of regular management duties from the organization’s IT team. Through their specific services to ensure ECM investment’s profitability and sustainability, ECM vendors contribute to an organization’s general value of ECM and its success over time.
Based on the solution, the web & mobile content management segment is expected to hold the largest market share during the forecast period.
The enterprise content management market, by solution, is segmented into document management, web & mobile content management, case management, record management, digital asset management, image & capturing, eDiscovery, collaborative content management, and other solutions. It is expected that during the forecast period, the web & mobile content management segment is expected to hold the largest market size and share in the enterprise content management market. Web & mobile content management is one of the significant elements of the enterprise content management market as it provides organizations with tools to deliver content across several online and mobile channels effectively. These solutions offer a single digital hub for creating, editing, and publishing web & mobile content, such as text, images, videos, and interactive features. Web & mobile CMS offer features such as content authoring, version management, and workflow automation that help organizations shorten the length of the content creation and publishing process. They also incorporate a responsive design, ensuring the material is displayed correctly on any device and screen size. Besides the content management solutions on web & mobile cover analytics tools that organizations can use to understand user engagement and behavior, they can also modify their content strategy for a better user experience. By providing a centralized channel for handling web and mobile content, the ECM solutions thus help organizations improve efficiency, enable collaboration, and ultimately deliver a coherent digital experience to the audiences through multiple channels.
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North America is projected to hold the largest market share during the forecast period.
By region, North America is projected to hold the most market share in the worldwide enterprise content management market in 2024, and this pattern is anticipated to be valid throughout the forecast period. ECM solutions and services are crucial in North America, as they help organizations efficiently manage, store, and secure their digital content. The demand for ECM solutions has been steadily growing due to the increasing volume of digital content generated by businesses. In North America, ECM solutions cater to various industries such as healthcare, finance, government, and manufacturing. This enables organizations to streamline content management processes, ensure regulatory compliance, and improve collaboration and productivity.
North America’s enterprise content management market is highly competitive and technologically advanced. Key players in the region include IBM Corporation, OpenText Corporation, Microsoft Corporation, and Oracle Corporation, among others. These vendors offer various ECM solutions and services, including document management, record management, digital asset management, and workflow automation. There has been a shift towards cloud-based ECM solutions in recent years, driven by scalability, flexibility, and cost-effectiveness. Additionally, adopting AI and ML technologies further drives innovation in the enterprise content management market, enabling organizations to automate content-related processes and gain valuable insights from their data. With the increasing digitization of businesses and the growing importance of efficient content management, North America’s enterprise content management market is expected to continue its growth trajectory in the coming years.
Top Companies in Enterprise Content Management Market
Some of the significant enterprise content management vendors include Microsoft (US), OpenText (Canada), Box (US), Hyland (US), IBM (US), Adobe (US), Xerox (US), Atlassian (Australia), KYOCERA Corporation (Japan), and Oracle (US).
Recent Development
In April 2024, Hyland, a leading global provider of intelligent content solutions, launched Hyland Experience Automate (Hx Automate). This service is one of the first available from the next-generation, cloud-based platform, Hyland Experience (Hx). This new service is compatible with existing Hyland platforms, allowing customers to leverage the latest innovation from Hyland Experience while maximizing the value of their current solutions.In April 2024, Box announced its collaboration with Bulletproof, an award-winning independent global brand agency, which selected Box as its single centralized cloud platform to manage content and production work. Bulletproof is deploying Box across the organization to eliminate on-premise servers and facilitate secure collaboration with clients and partners.In February 2024, Microsoft announced its collaboration with SysKit, a company dedicated to simplifying management and governance in Microsoft 365, and announced the availability of Syskit Point on Microsoft AppSource. This integration underscores SysKit Point’s commitment to providing seamless experiences for Office 365 users, empowering them with robust tools to optimize their governance, security, and compliance efforts within the Microsoft environment.In January 2024, Oracle’s content management enabled users to export and import repository content. The Export Jobs and Import Jobs pages would allow users to track new jobs.In January 2024, Datamax extended its strategic partnership with KYOCERA. This partnership further bolsters Datamax’s ability to adhere to its tagline, “Relevant Technology. Raving Results.”Inquire Before Buying@ https://www.marketsandmarkets.com/Enquiry_Before_BuyingNew.asp?id=226977096
Enterprise Content Management Market Advantages
ECM streamlines document management processes, automating tasks such as data entry, filing, and retrieval, which enhances overall operational efficiency and reduces the time employees spend on manual tasks.ECM systems facilitate better collaboration by providing centralized access to documents and content, allowing teams to work together seamlessly regardless of their physical location.ECM solutions help organizations comply with regulatory requirements by providing robust security features, audit trails, and records management capabilities, ensuring that sensitive information is protected and easily accessible for compliance audits.By reducing reliance on paper and physical storage, ECM systems lower costs associated with printing, shipping, and storage. Additionally, improved efficiency and productivity lead to overall cost reductions.ECM provides advanced search and analytics capabilities, allowing businesses to extract valuable insights from their content, leading to more informed decision-making and strategic planning.Report Objectives
To define, describe, and forecast the enterprise content management (ECM) market based on offering, business function, deployment mode, organization size, vertical, and region.To provide detailed information about the significant factors, such as drivers, opportunities, restraints, and challenges, influencing the growth of the marketTo analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the marketTo forecast the market size concerning five main regions — North America, Europe, Asia Pacific, the Middle East & Africa, and Latin AmericaTo analyze the subsegments of the market concerning individual growth trends, prospects, and contributions to the overall marketTo profile the market’s key players and analyze their size and core competencies comprehensively.To track and analyze the competitive developments, such as product enhancements, product launches, acquisitions, partnerships, and collaborations, in the enterprise content management market globallyBrowse Adjacent Markets: Software and Services Market Research Reports & Consulting
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