Market Highlights
Machine learning is a branch of artificial intelligence (AI) that uses statistical techniques for analytical model building that imparts the computers with the ability to learn from data instead of being explicitly programmed to carry out certain operations. As per the report that has been recently published by Market Research Future (MRFR), the global machine learning market is anticipated to project remarkable growth in the coming years.
The increasing demand for machine learning in various industrial sectors to enhance customer experience and gain a competitive edge in the market is majorly driving the global machine learning market towards rapid expansion. The blistering pace of adoption of artificial intelligence in multiple sectors such as automotive, healthcare, BSFI, government, and others have led to the rise in demand for machine learning services in the global market. The development in the application of machine learning in the manufacturing industry is creating large opportunity for the machine learning service providers, resulting in the growth of the global machine learning market.
The elevated emphasis on AI is creating several opportunities for the progress of the machine learning market. Reports that convey interpretations into the information and communication technology industry has been offered by Market Research Future, which produces reports on industry verticals that judge the market progress and options for growth. A 42.08 % CAGR is anticipated to propel the market to a beneficial growth level.
Segmentation:
The segment-based evaluation of the machine learning market share is conducted on the basis of component, organization size, vertical and region. On the basis of components, the machine learning market has been bifurcated into hardware and software. Based on the organization size, the machine learning market is segmented into small enterprise, large enterprise, and medium-sized enterprises. On the basis of vertical, the machine learning market is segmented into media and entertainment, automotive, BFSI, telecommunication, education, retail and e-commerce, government and defense, healthcare, others. On the basis of region, the machine learning market has been segmented into North America, Europe, Asia Pacific and other regions in the world.
Detailed Regional Analysis
Geographically, the global machine learning market is segmented into four major regions such as North America, Europe, Asia Pacific (APAC) and the rest of the world (RoW). Among these, the Europe region is anticipated to dominate the global machine learning market during the forecast period owing to the increased focus of startup companies on commercialization and innovation of artificial intelligence technology. The rapid technological development and increasing adoption of machine learning services in various industrial sectors are fueling the expansion of machine learning market in the North America region. The machine learning market in the Asia Pacific region is considered to be lucrative owing to the increasing investment for technological advancement and inclination towards the application of artificial intelligence technology in various industrial sectors in this region.
Competitive Analysis
The governmental bodies around the world are increasing their contribution to market development. The enhancement of production resources is expected to create a favorable impetus for the advance of the market. The contenders in the market are crafting their strategy in a way that supports optimum profits and resource utilization. The improvement in international trade is expected to further develop the development of the market in the coming years. The amplification in a number of investments is predicted to motivate the market considerably in the coming years. The presence of apt investments or funding is expected to motivate the progress of the global market in the forecast period. The stabilization of export trends in the international market is expected to further encourage the market’s development in the coming period. The development of more integrated supply channels is anticipated to provide an upper hand to the market contenders in the forthcoming period.
The strategic competitors in the machine learning market are Microsoft Corporation. (US), Amazon.com, Inc. (US), Baidu Inc (China), Cisco Systems, Inc. (US), Google (US), Apple Inc (US), Intel Corporation (US), Facebook, Inc. (US), Nuance Communications (US), IBM Corporation (US), and Wipro Limited (India).
Industry Updates:
Dec 2019 DataRobot, a business acknowledged for producing automated machine learning simulations known as AutoML, has recently announced that it intends to purchase a data prep platform startup, Paxata. Both the companies did not reveal the procurement price. Paxata procured a total of USD 90 million prior to the recent acquisition.
Global Wireless Connection Market – OverviewWireless connectivity is a technique used for reducing the complex cable networks across buildings.
It is used in communication networks, enterprise connections, and homes.
However, some factors that can curb the market growth include lack of uniform communication standards, and high-power consumption by wireless sensors, terminals, & connected devices.Get Free Sample Report @ https://www.marketresearchfuture.com/sample_request/2148Key PlayersThe prominent players in the market of Wireless Connection market are – Texas Instruments Inc. (U.S.), STMicroelectronics N.V. (Switzerland), Cypress Semiconductor Corporation (U.S.), Microchip Technology Inc. (U.S.), Qualcomm Incorporated.
(U.S.), Weidmüller Interface GmbH & Co. (U.S.), Nexcom International Co., Ltd. (Taiwan), Bernafon Canada Ltd. (Canada), Intel Corporation.
By type, the market has been segmented into the cellular machine to machine (M2M), global navigation satellite system (GNSS), wireless local area network (WLAN), and wireless personal area network (WPAN).Regional Analysis:The regional segmentation of the global wireless connectivity market segments the market into the regional markets known as Asia Pacific, North America, Europe, and the rest of the world (RoW).
The wireless connectivity market is growing maximum in China, India, Japan, and South Korea, followed by remaining countries of Asia Pacific region.
Global 3D Imaging Market to Soar at Robust CAGR of 26.8% by end of 2021The 3D imaging market is to widen extremely owing to the enhancement and modernization of technology in this sector.Especially in the sector of imaging has given the global 3D imaging market a palpablerise.
Our Research predicts that the global 3D imaging market is likely to take a hike worth US$17.99 bn by 2021 from US$3.51 bn in 2014.
During the forecast years of 2015 and 2021 the global market is estimated to deluge at a CAGR of 26.8%.An unique research is bought by our Analysts by which provides a profound understanding of the various market dynamics conducting the global 3D imaging market.
Complete with an executive summary and a competitive landscape, the research report targets to be a guiding hand to market enthusiasts and capatalists in the coming decade.
The ease of modeling, scanning, rendering, layout and animation, and reconstruction with the help of 3D technologies has truly segmented the global 3D imaging market in the past few years.
Areas such as ultrasound, computed tomography, and magnetic resonance imaging are conventional to show high adoption of 3D imaging technologies in the coming years.
Digital Transformation In Manufacturing market is segmented by company, region (country), by Type, and by Application.
Players, stakeholders, and other participants in the global Digital Transformation In Manufacturing market will be able to gain the upper hand as they use the report as a powerful resource.
The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2016-2027.Download FREE Sample of this Report @ https://www.grandresearchstore.com/report-sample/global-digital-transformation-in-manufacturing-2021-2027-557 Segment by TypeRoboticsIoT3D Printing and Additive ManufacturingCybersecurityOthersSegment by ApplicationChemicalsFood and BeverageAutomotiveFood & BeveragesSemiconductorOthersBy RegionNorth AmericaU.S.CanadaEuropeGermanyFranceU.K.ItalyRussiaNordicRest of EuropeAsia-PacificChinaJapanSouth KoreaSoutheast AsiaIndiaAustraliaRest of AsiaLatin AmericaMexicoBrazilRest of Latin AmericaMiddle East & AfricaTurkeySaudi ArabiaUAERest of MEABy CompanyCisco Systems IncMicrosoft CorporationIntel CorporationIBM CorporationSiemens AGSAP SEBroadcomOracle CorporationSchneider Electric SEIBM CorporationSiemens AGABB LtdBaker HughesGet the Complete Report & TOC @ https://www.grandresearchstore.com/ict-and-media/global-digital-transformation-in-manufacturing-2021-2027-557Table of content1 Report Overview1.1 Study Scope1.2 Market Analysis by Type1.2.1 Global Digital Transformation In Manufacturing Market Size Growth Rate by Type: 2016 VS 2021 VS 20271.2.2 Robotics1.2.3 IoT1.2.4 3D Printing and Additive Manufacturing1.2.5 Cybersecurity1.2.6 Others1.3 Market by Application1.3.1 Global Digital Transformation In Manufacturing Market Share by Application: 2016 VS 2021 VS 20271.3.2 Chemicals1.3.3 Food and Beverage1.3.4 Automotive1.3.5 Food & Beverages1.3.6 Semiconductor1.3.7 Others1.4 Study Objectives1.5 Years Considered2 Global Growth Trends2.1 Global Digital Transformation In Manufacturing Market Perspective (2016-2027)2.2 Digital Transformation In Manufacturing Growth Trends by Regions2.2.1 Digital Transformation In Manufacturing Market Size by Regions: 2016 VS 2021 VS 20272.2.2 Digital Transformation In Manufacturing Historic Market Share by Regions (2016-2021)2.2.3 Digital Transformation In Manufacturing Forecasted Market Size by Regions (2022-2027)2.3 Digital Transformation In Manufacturing Industry Dynamic2.3.1 Digital Transformation In Manufacturing Market Trends2.3.2 Digital Transformation In Manufacturing Market Drivers2.3.3 Digital Transformation In Manufacturing Market Challenges2.3.4 Digital Transformation In ManIf You Have Any Question Related To This Report Contact Us @ https://www.grandresearchstore.com/enquire-now/global-digital-transformation-in-manufacturing-2021-2027-557CONTACT US:276 5th Avenue, New York, NY 10001, United StatesInternational: +1(646)-781-7170 / +91 8087042414Email: [email protected] Us On linkedin :- https://www.linkedin.com/company/grand-research-store
Automatic Content MarketInitially made popular by its use in well-known sound recognition applications, automatic content recognition (ACR) has gained considerable traction in the advertising industry and other applications in the entertainment industry.
Market Research Future has recently found that the global ACR market is expected to grow at a healthy CAGR of 27.2% over the period of 2017 to 2023.
Rising adoption of emerging technologies and several other factors are expected to contribute to the increasing value of the market which is anticipated to reach USD 4507.2 Mn by the end 2023.Smart devices are growing exponentially due to increased sales, and the adoption of Smart TVs have led to the demand for ACR.
Moreover, ACR enables interactive features and offers suggestions for other content based on the consumers recognized preferences.
Growing demand for ACR technology in the media industry has resulted in an increase in deployments of the technology, particularly for audience measurement, broadcast monitoring, content identification & enhancement.
However, due to the emergence of IoT, big data analytics, and artificial intelligence, the ACR technology is expected to witness advancements that create room for market expansion in the coming years.Market SegmentationMRFR’s analysis of the market includes detailed segmentation on the basis of technology, end-user applications, and region.
Medical imaging is highly utilized in different medical divisions including magnetic resonance imaging, radiography, nuclear medicine, elastography, ultrasound, photoacoustic imaging, echocardiography, tomography, magnetic particle imaging, and functional near-infrared spectroscopy.
Numerous technological innovations like multidetector CT scanners are currently getting adopted in the 3D imaging technologies, among the radiologists and the physicians, for performing timely treatments and accurate diagnosis.
The 3D imaging is also adopted in the field of robotics, which is considered to be one of the fastest-moving applications.
With the help of this, detection in the position of the 3D space objects is done.The global 3D sensor market is expected to reach the valuation of USD 5.49 Billion by the year 2023, growing at 27.69% CAGR during the forecast period 2017-2023.
Apart from the application in the robotics, the 3D imaging systems are now targeting different applications, including product profiling, object tracking, the sheet of light applications, 3D x-ray imaging, and time-of-flight applications.
Market Segmentation The global 3D sensors market is classified on the basis of its technology, application, sensors type, and regional demand.
FEB 27, 2020: The global Artificial Intelligence market size is expected to reach USD 390.9 billion by 2025, according to a new report by Grand View Research, Inc.
Advances in image and voice recognition are driving the growth of the regional market.
Rising prominence of artificial intelligence is enabling new players to venture into the market by offering niche application-specific solutions.
Existing solution providers are innovating their product portfolio to include both hardware and software solutions.To Request A Sample Copy Of This Report @: https://www.radiantinsights.com/research/artificial-intelligence-market/request-sampleNorth America held the dominant share in the global AI market in 2018 thanks to the availability of high government funding, presence of leading players, and strong technical base.
Asia Pacific, however, is anticipated to overtake North America to emerge as the leading regional market by 2025, registering the highest CAGR.
This can be attributed to rapid improvements in information storage capacity, high computing power, and parallel processing, all of which have contributed to the swift uptake of artificial intelligence technology in end-use industries such as automotive and healthcare.AI has the potential to reduce the burden on clinicians and provide an efficient tool to workforces for accomplishing their tasks in a better way.
