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Machine Learning Market research Report is a valuable supply of perceptive information for business strategists. This Machine Learning Market study provides comprehensive data which enhances the understanding, scope and application of this report.

Summary of Report @ Machine Learning Market

A thorough study of the competitive landscape of the global Machine Learning Market has been given, presenting insights into the company profiles, financial status, recent developments, mergers and acquisitions, and the SWOT analysis. This research report will give a clear idea to readers about the overall market scenario to further decide on this market projects.

The analysts also have analyzed drawbacks with on-going Machine Learning trends and the opportunities which are devoting to the increased growth of the market. International Machine Learning market research report provides the perspective of this competitive landscape of worldwide markets. The report offers particulars that originated from the analysis of the focused market. Also, it targets innovative, trends, shares and cost by Machine Learning industry experts to maintain a consistent investigation.

Market Segment by Regions, regional analysis covers

The Machine Learning analysis was made to include both qualitative and qualitative facets of this market in regards to global leading regions. The Machine Learning report also reinforces the information concerning the aspects like major Machine Learning drivers & controlling facets that may specify the markets. Also, covering multiple sections, company profile, and type, along with applications.

We do provide Sample of this report, Please go through the following information in order to Request Sample Copy.

This report sample includes:

Brief Introduction to the research report.

Table of Contents (Scope covered as a part of the study)Top players in the market

Research framework (Structure Of The Report)

Research methodology adopted by Coherent Market Insights

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Reasons why you should buy this report

Understand the current and future of the Machine Learning Market in both developed and emerging markets.

The report assists in realigning the business strategies by highlighting the Machine Learning business priorities.

The report throws light on the segment expected to dominate the Machine Learning industry and market.

Forecasts the regions expected to witness the fastest growth.

The latest developments in the Machine Learning industry and details of the industry leaders along with their market share and strategies.

Saves time on the entry level analysis because the report contains very important info regarding growth, size, leading players and segments of the business.

Save and reduce time carrying out entry-level research by identifying the growth, size, leading players and segments in the global Market.

The global report is integrated considering the primary and secondary research methodologies that have been collected from reliable sources intended to generate a factual database. The data from market journals, publications, conferences, white papers and interviews of key market leaders are compiled to generate our segmentation and is mapped to a fair trajectory of the market during the forecast period.

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Market Drivers and Restraints:

Emergence of new technologies in Enterprise Mobility

Economies of Scale in the Operational Expenditure

Lack of Training Expertise and Skills

Data Security concerns

Key highlights of this report:

Overview of key market forces driving and restraining the market growth

Market and Forecast (2018 2026)

analyses of market trends and technological improvements

analyses of market competition dynamics to offer you a competitive edge

An analysis of strategies of major competitors

Workplace Transformation Services market Volume and Forecast (2018 2026)

Companies Market Share Analysis

analysis of major industry segments

Detailed analyses of industry trends

Offers a clear understanding of the competitive landscape and key product segments

About Coherent Market Insights:

Coherent Market Insights is a prominent market research and consulting firm offering action-ready syndicated research reports, custom market analysis, consulting services, and competitive analysis through various recommendations related to emerging market trends, technologies, and potential absolute dollar opportunity.

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Machine Learning Market 2020 Professional Survey Report; Industry Growth, Shares, Opportunities And Forecast To 2026 - Surfacing Magazine

MENLO PARK, Calif. and EDMONTON, Alberta, June 9, 2020 /PRNewswire/ -- Silicon Valley- and Calgary-based precision medicine technology pioneer PROTXX and Alberta-based artificial intelligence (AI) and machine learning (ML) product developer AltaML today announced that they have launched a collaboration to expand the data analytics capabilities of the PROTXX precision healthcare platform to support automated diagnoses of neurodegenerative medical conditions.

PROTXX logo (PRNewsfoto/PROTXX, Inc.)

The PROTXX precision healthcare platform integrates wearable sensor and machine learning innovations to replace bulky and expensive clinical equipment and time-consuming testing procedures for a variety of neurodegenerative medical conditions in which patients suffer from impairments to multiple physiological systems. PROTXX solves the difficult problem of identifying and quantifying these multiple different impairments, disrupting diagnosis and treatment with easy-to-use low-cost precision patient assessments.

AltaML is developing a portfolio of future-focused ML-powered software solutions across multiple industries, including healthcare. Cory Janssen, Co-Founder and CEO of AltaML, commented: "Our initial work with PROTXX will focus on developing solutions that address two major ML challenges in digital healthcare: classifying medical conditions usingrelatively small data sets, and enabling visualization and explanation of ML diagnoses based onintuitive physiological features. The PROTXX sensors generate data well suited for ML, and we are excited to have this opportunity to acceleratetime-to-market for PROTXX solutions that will reduce the cost and time required to make accurate clinical diagnoses and quantify patient responses to treatment and rehabilitation."

Earlier this year PROTXX announced the incorporation of subsidiary PROTXX Medical Ltd in Alberta to support product development and pilot deployment initiatives with local customers and R&D partners, and to leverage the province's world-class expertise in both healthcare service delivery and machine learning. PROTXX CEO and Founder, John Ralston, added: "We are excited to announce our collaboration with AltaML. Clinical data sets collected over the past two years have revealed that the unique features and patterns detected in PROTXX wearable sensor data can be leveraged to independently classify and quantify multiple physiological impairments resulting from age-related disorders such as stroke, diseases such as Parkinson's disease, injuries such as concussions and sub-concussive head impact exposure, and medical treatments such as prescription medications and invasive neurosurgeries. The application of state-of-the-art machine learning techniques for small data set classification and data visualization will accelerate our commercialization of innovative and scalable precision healthcare tools that improve the diagnoses and treatment of these and many other complex medical conditions."

About PROTXX Inc.(http://protxx.com/)PROTXX develops clinical grade wearable sensors that enable rapid non-invasive classification and quantification of neurological, sensory, and musculoskeletal impairments due to fatigue, injury, and disease. The company's large proprietary data sets have been used to develop and train machine learning models that can automate analytical tasks such as classifying specific medical conditions based upon their unique impairment signatures. PROTXX customers and partners in Canada, the U.S., the U.K., and Japan are helping healthcare payers rein in costs, providers improve quality of care, and consumers gain greater access to higher quality care and improved outcomes. PROTXX innovations have been recognized with numerous industrial, academic, and government awards.

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PROTXX and AltaML Announce Wearable Device and Machine Learning Collaboration - Yahoo Finance

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Qualisense uses Machine Learning to help companies enhance software development strategies, streamline testing and reduce the costs of ensuring software quality

Qualitest, the worlds largest software testing and quality assurance company, announces the global launch of its new Qualisense suite of innovative Machine Learning-powered tools and services. The newly launched Qualisense toolkit is the next iteration of the previous Qualisense Test Predictor service.

With this launch, Qualisense becomes a standalone product-set providing a 360-approach to Machine Learning that will help companies optimise software development by enabling swifter, more accurate and higher quality software testing approaches, while being agnostic to their development tools and technology.

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Increasingly, companies are employing an iterative approach to software development deploying smaller updates rapidly rather than slowly delivering larger revisions. The use of Qualisense will optimise testing and quality delivery, and remove bottlenecks and barriers to sophisticated multi-phased software deployments, reducing the need for certain tests, and ultimately making quality engineers more efficient, redistributing key resources and providing user-friendly interfaces.

Incorporating breakthrough automation and Machine Learning-poweredsoftware testing models, Qualisenses suite will allow companies to enhance risk-based testing protocols. Similarly, by increasing both accuracy and speed of the continuous delivery of new software, client processes will run more efficiently, strategically and cost-effectively critical to the software industry at large.

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The software testing industry grew 14% in 2019, with quality engineering being regarded as a key factor for successful software deployments. Earlier this year, Gartner named Qualitest a Visionary in this space for the consecutive sixth year, further strengthening its position in the market. 2019 saw Qualitest expand its operations inRomania,India,Israel, the US and move its corporate headquarters toLondonto better expand throughout EMEA with an acquisition of AI company AlgoTrace inDecember 2019.

Ron Ritter, Head of AI and Data Science at Qualitest, said:Qualisense will enable us to better streamline the unique testing needs of our clients. Incorporating AI into the testing process has already proven essential to ensuring the provision of swift, accurate and reliable software deployments. The new technical capabilities that Qualisense offers our company, global client base and the industry more widely are endless.

Norm Merritt, CEO of Qualitest, said:Testing was once something that was done at the end of the software development process, however with the advances in testing methodologies, we have been able to entrench it earlier within the process, making it more accurate, quicker, and more effective. Expanding the Qualisense toolkit will allow our clients to embrace best practice quality engineering, and ensure that Qualitest remains on the cutting-edge of software testing methodologies.

Recommended AI News: Autonomous Drone Inspections Move Step Closer After Successful Test

Excerpt from:
Qualitest Announces Global Launch of Qualisense, to Expand AI-Powered Software Testing - AiThority

Trusted Business Insights answers what are the scenarios for growth and recovery and whether there will be any lasting structural impact from the unfolding crisis for the Machine Learning market.

Trusted Business Insights presents an updated and Latest Study on Machine Learning Market 2019-2026. The report contains market predictions related to market size, revenue, production, CAGR, Consumption, gross margin, price, and other substantial factors. While emphasizing the key driving and restraining forces for this market, the report also offers a complete study of the future trends and developments of the market.The report further elaborates on the micro and macroeconomic aspects including the socio-political landscape that is anticipated to shape the demand of the Machine Learning market during the forecast period (2019-2029).It also examines the role of the leading market players involved in the industry including their corporate overview, financial summary, and SWOT analysis.

Get Sample Copy of this Report @ Machine Learning Market Size, Share, Global Market Research and Industry Forecast Report, 2025 (Includes Business Impact of COVID-19)

Industry Insights, Market Size, CAGR, High-Level Analysis: Machine Learning Market

The global machine learning market size was valued at USD 6.9 billion in 2018 and is anticipated to register a CAGR of 43.8% from 2019 to 2025. Emerging technologies such as artificial intelligence are changing the way industries and humans work. These technologies have optimized supply chains, launched various digital products and services, and transformed overall customer experience. Various tech firms are investing in this filed to develop AI platforms, while various startups are focusing on niche domain solutions. With this rapid development, AI techniques such as machine learning are gaining significant traction in the market.Machine learning is a subset of artificial intelligence. The concept has evolved from computational learning and pattern recognition in artificial intelligence. It explores the construction and study of algorithms and carries out forecasts on data. The applications of machine learning include e-mail filtering, Optical Character Recognition (OCR), detection of network intruders, computer vision, and learning to rank.

The technology has paved the way across various applications. In advertising, this technology is used to predict the behavior of a customer and helps in improving advertising campaigns. AI-driven marketing uses various models to optimize, automate, and augment the data into actions. In the case of banking and finance, loan approval, assets management, and other processes are carried out using machine learning. Other applications, such as security, document management, and publishing, are also using this technology, thereby driving the market.Recently, machine learning has made its way into new aspects. For instance, the U.S. Army is planning to use this technology in combat vehicles for predictive maintenance. It will help in determining repair and service required in these vehicles with details such as when and where the repair is required. The stock market is also making use of this technology in market prediction with an accuracy level of approximately 60%.

Component Insights of Machine Learning Market

Based on component, the market is divided into hardware, software, and services. The hardware segment is expected to register the highest CAGR over the forecast period. This can be attributed to growing adoption of hardware optimized for machine learning. Development of customized silicon chips with AI and ML capabilities is driving the adoption of hardware. Development of more powerful processing devices by companies such as SambaNova Systems are anticipated to further drive the market.The software segment is expected to account for a moderate share in the market. The adoption of cloud-based software is anticipated to rise due to enhanced cloud infrastructure and hosting parameters. Cloud-based software allows users to move from machine to deep learning, thereby driving adoption. Demand for machine learning services has been on a rise in recent years. Managed services help customers manage their ML tools and deal with varied dependency stacks.Enterprise Size InsightsBased on enterprise size, the machine learning market is categorized into Small and Medium Enterprises (SMEs) and large enterprises. The large enterprise segment accounted for the leading share in the market in 2018. This is due to increasing adoption of technologies such as artificial intelligence and data science to inject predictive insights into business operations. Large organizations are focusing on harnessing deep learning, machine learning, and optimization of decisions in order to deliver high business value.The adoption of machine learning is rapidly increasing among small and medium-sized enterprises. This is owing to easy and cost-effective deployment offered by machine learning. Availability of deployment options such as on cloud, on-premise, or hybrid allows SMEs to easily scale up their growing pilot projects and artificial intelligence initiatives, eliminating the need for large up-front investments.End-use InsightsBased on end use, the market is categorized into BFSI, healthcare, retail, law, advertising and media, agriculture, manufacturing, automotive and transportation, and others. While advertising and media held the leading share in 2018, the healthcare sector is expected to surpass this segment to account for the largest share by the end of the forecast period. This is due to rising adoption of this technology in emerging healthcare areas. For instance, this technology is being used to predict the probability of death of a person. Use of machine learning for quantitative insights for better diagnosis and using it to prevent diseases is moving the field of medicine from reactive to proactive and this is poised to drive the market.

The law segment is expected to register the highest CAGR over the forecast period. This is due to rising adoption of machine learning algorithms across various legal applications. In case of litigation, ML is used for continuous active learning for the process of document review. Due diligence analysis in the merger and acquisition process is done using ML. Privacy, information governance, expert systems, and client collaboration are some of the emerging legal areas that are adopting machine learning.

Regional Insights of Machine Learning Market

The market in North America held the dominant share in 2018, thanks to numerous banking organizations in the region investing in ML-based firms. For instance, in November 2019, JPMorgan Chase & Co. announced its investment in Limeglass, a provider of AI, ML, and NLP to analyze institutional research. The latter company is expected to assist emerging technology companies in developing various products required for banking.Asia Pacific is anticipated to register the highest CAGR over the forecast period. This is due to growing adoption of machine learning in emerging markets with a massive talent base, such as India. Greater access to consumers who are willing to try AI-enabled services and products is further driving the regional market. In May 2018, NITI Aayog, a policy think tank of the Government of India, collaborated with Google LLC, a multinational technology company. Through this collaboration, the former company will incubate and train start-ups based on AI in India.

Market Share Insights of Machine Learning Market

Key industry participants include Amazon Web Services, Inc.; Baidu Inc.; Google Inc.; H2O.ai; Intel Corporation; International Business Machines Corporation; Hewlett Packard Enterprise Development LP; Microsoft Corporation; SAS Institute Inc.; and SAP SE. Several vendors are entering into partnerships with end-use industries to enhance their reach. For instance, Microsoft Corporation partnered with LV Prasad Eye Institute in Hyderabad. This partnership is aimed at enabling machine learning to bring data-driven eye care services in India. Vendors are also focusing on launching new products in the market. For instance, International Business Machines Corporations machine learning technology advances the early detection of diabetic eye disease using deep learning.

Segmentations, Sub Segmentations, CAGR, & High-Level Analysis overview of Machine Learning Market Research ReportThis report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2014 to 2025. For the purpose of this study, this market research report has segmented the global machine learning market report based on component, enterprise size, end use, and region:

Component Outlook (Revenue, USD Million, 2019 2030)

Hardware

Software

Services

Enterprise Size Outlook (Revenue, USD Million, 2019 2030)

SMEs

Large Enterprises

End-use Outlook (Revenue, USD Million, 2019 2030)

Healthcare

BFSI

Law

Retail

Advertising & Media

Automotive & Transportation

Agriculture

Manufacturing

Others

Quick Read Table of Contents of this Report @ Machine Learning Market Size, Share, Global Market Research and Industry Forecast Report, 2025 (Includes Business Impact of COVID-19)

Trusted Business InsightsShelly ArnoldMedia & Marketing ExecutiveEmail Me For Any ClarificationsConnect on LinkedInClick to follow Trusted Business Insights LinkedIn for Market Data and Updates.US: +1 646 568 9797UK: +44 330 808 0580

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How COVID-19 Pandemic Will Impact Machine Learning Market Business Opportunity, And Growth 2020-2026 - Jewish Life News