Machine Learning Market Overview, Dynamics, Key Players, Opportunities and Forecast to 2030

Market Synopsis:According to Market Research Future (MRFR)’s analysis, the global machine learning market is expected to scale new heights in the upcoming years.

In addition, the market is expected to encash the opportunities unleashed by the technological advancements in the years to come.Machine learning is an Artificial Intelligence integrated program which is excessively used for predictive analysis.

It is being widely adopted by the business houses for making informed decisions to achieve their objectives & goals and ensuring efficiency.

Furthermore, it facilitates a customer-centric approach for reaching to customers.

From healthcare to the automotive sector, it is responsible for acceleration of revenue creation.

It is projected to favor the expansion of the machine learning market across the review period.Get a Free Sample @ https://www.marketresearchfuture.com/sample_request/2494Market Segmentation:By components, the global machine learning market has been segmented into software tools, cloud and web-based APIs, and others.By service, the machine learning market has been segmented into professional services and managed services.By application, the global machine learning market has been segmented into BFSI, healthcare, government, automotive, education, media and entertainment, defense, telecom, retail and e-commerce, and others.By organization size, the machine learning market has been segmented into Small and Medium Enterprises (SMEs), and large enterprises.Regional Analysis:The global machine learning market, by region, has been segmented into North America, Europe, Asia Pacific (APAC) and the Rest of the World (ROW).

The global machine learning market is projected to expand at a CAGR of 39.6% and is expected to be worth USD 13.5 Bn by 2023.

With the generation of massive volumes of data across industries, data analytics is crucial to the success of businesses, leading to the rise of machine learning.

Cloud deployment is highly favorable in the developed regions (North America and Europe), owing to extensive technological advancements and high rates of adoption.

Machine learning through cloud deployment is less expensive in terms of operation, has convenient usage, and greater data storage capacities.

On-premises deployment is mainly used in the developing regions of APAC and RoW (Latin America, and the Middle East and Africa).

However, with the shift from legacy systems to cloud technology, the market shares of on-premises deployment is expected to reach only 31.6% by 2023.

FEB 27, 2020: The global Machine Learning market size is expected to reach USD 96.7 billion by 2025, according to a new report by Radiant Insights, Inc.

In case of businesses, the use of ML models that are open source and have a standards-based structure has increased in recent years.

These models can be easily deployed in various business programs and can help companies bridge the skills gap between IT programmers and information scientists.

Developments such as fine-tuned personalization, hyper-targeting, searching engine optimization, no-code environment, self-learning bots, and others are projected to change the machine learning landscape.

The development of capsule network has replaced neural networks in order to provide more accuracy in pattern detection, with fewer errors.

These advanced developments are anticipated to proliferate market growth in the foreseeable future.Further key findings from the report suggest:The emergence of connected AI is expected to enable ML algorithms to learn continuously based on newly available information.

JUNE 02, 2020: Machine learning (ML) is an emerging artificial intelligence (AI) technology which is being adopted aggressively by retail, transportation (especially airlines), and financial services companies operating in India.

In 2018, this resulted in the creation of ~0.18 Mn to ~0.2 Mn new jobs, for professionals who have skills and expertise in machine learning applications.Global market insights:The global machine learning market is expected to reach a value of INR 543.18 Bn by the end of 2023, from INR 91.83 Bn in 2017, expanding at a compound annual growth rate (CAGR) of nearly 42.99%.

This growth is attributed to technological advancements, and its proliferation in the field of data generation.To Request A Sample Copy Of This Report @:   https://www.radiantinsights.com/research/machine-learning-market-in-india-2018-2023/request-sampleIndia market insights:In India, though the adoption of AI applications is still at a nascent stage, it is anticipated that the market will grow at a high rate in the coming years.

The reason behind such high anticipated investments is the growing popularity of AI technologies, especially ML applications, across business functions like finance, accounting, general management, IT, operations, and administration.Key growth drivers of the market:The implementation of machine learning reduces the chances of human error.

In a way, machine learning enhances technicians' accuracy and efficiency, owing to which many companies are switching from traditional data interpretation methods, to machine learning.

The introduction of the concept of stream-based analytic platforms has opened up new avenues for the extensive use of machine learning applications in various sectors of the Indian market.Key deterrents to the growth of the market:Most machine learning applications are interlinked with cloud-based analytics.

New York, June 12, 2019 - A new report published by Research On Global Markets titled ‘Global Machine Learning Market (2018 – 2023)’ studies the performance of the global machine learning market over a five year assessment period from 2018 to 2023.

The report presents the forecasted value of the global machine learning market and provides key insights into the factors driving market growth, as well as those restricting it.

According to the Research On Global Markets’ analysts, the global machine learning market will expand at a compound annual growth rate (CAGR) of 39.6% during the 2018-2023 period, to reach approximately USD 13.5 Bn by 2023.The expansion of the global machine learning market can be attributed to the increased generation of data, and the need to process these huge volumes of data to obtain meaningful insights.

As an application of artificial intelligence, machine learning features separate algorithms, as a result of which human intervention is not required.The global machine learning market research report provides market segmentation based on en-user (BFSI, healthcare, digital advertising, retail, and others), deployment (cloud deployment, and on-premise deployment), and regions (North America, Europe, Latin America, Asia-Pacific, and the Middle East and Africa).

The report offers an in-depth analysis of the prominent factors influencing the market, including drivers, opportunities, trends, and industry-specific challenges.In 2018, retail surpassed the banking, financial services and insurance (BFSI) sub-segment to emerge as the leader in terms of machine learning expenditure.

Retail firms are expected to invest in a number of applications, including expert shopping advisors and product recommendations, and automated customer service agents.In terms of deployment mode, the cloud segment is expected to capture a higher market share during the forecasted period, owing to increased adoption by various industries across the world.

Global Machine Learning Market Report, published by Accurize Market Research, forecast that the global market is expected to reach $33,517 Million by 2026 from $1,900 Million in 2018; growing at a CAGR of 44% from 2019 to 2026.

In terms of growth, Asia-Pacific is anticipated to attain the fastest compound annual growth rate (CAGR) during 2019 – 2026.Request Sample:https://www.accurizemarketresearch.com/report/machine-learning-market/sample-requestMarket Introduction and Market DynamicsMachine learning is a technology that provides computers with the ability to learn without being explicitly programmed and is focused on the development of computer programs that can automatically learn when exposed to new data.

The innovative technologies including IoT and big data are giving a new leash to the machine learning practices and are widely used with many technologies such as image recognition, speech recognition, face recognition, and risk and fraud detection software.

Some of the factors propelling the growth of the market include availability of massive amount of data, demand for superior consumer service and efficient operation, and proliferation in data generation.

However, lack of skilled professionals and rising concerns regarding data security may hamper the market in the coming years.

Further, increasing demand for intelligent business process and increasing adoption in modern application would provide several growth opportunities in forecasted years.Market Segmentation and Crisp AnalysisThe global machine learning market is segmented into solution, service, deployment, organization size, and industry vertical.

Market Synopsis:According to Market Research Future (MRFR)’s analysis, the global machine learning market is expected to scale new heights in the upcoming years.

In addition, the market is expected to encash the opportunities unleashed by the technological advancements in the years to come.Machine learning is an Artificial Intelligence integrated program which is excessively used for predictive analysis.

Furthermore, it facilitates a customer-centric approach for reaching to customers.

From healthcare to the automotive sector, it is responsible for acceleration of revenue creation.

Request a Free Sample @ https://www.marketresearchfuture.com/sample_request/2494 Competitive Dashboard:Some of the major players operating in the global machine learning market are Google Inc. (U.S.), IBM Watson (U.S.), FacMachine Learning Marketebook (U.S), Baidu (China), Microsoft (U.S.), Cisco (U.S.), Apple (U.S), Wipro (India), Amazon (U.S), Intel (U.S.), and Nuance Communications (U.S.).

Market Segmentation:By components, the global machine learning market has been segmented into software tools, cloud and web-based APIs, and others.By service, the machine learning market has been segmented into professional services and managed services.By application, the global machine learning market has been segmented into BFSI, healthcare, government, automotive, education, media and entertainment, defense, telecom, retail and e-commerce, and others.By organization size, the machine learning market has been segmented into Small and Medium Enterprises (SMEs), and large enterprises.

In 2017, the global AI/Machine Learning market size was million US$ and it is expected to reach million US$ by the end of 2025, with a CAGR of during 2018-2025.This report focuses on the global AI/Machine Learning status, future forecast, growth opportunity, key market and key players.

The study objectives are to present the AI/Machine Learning development in United States, Europe and China.Access the PDF sample of the report @ https://www.orbisresearch.com/contacts/request-sample/2339368The key players covered in this studyGOOGLEIBMBAIDUSOUNDHOUNDZEBRA MEDICAL VISIONPRISMAIRIS AIPINTERESTTRADEMARKVISIONDESCARTES LABSAmazonMarket segment by Type, the product can be split intoTensorFlowCaffe2Apache MXNetMarket segment by Application, split intoAutomotiveSantific ResearchBig DateOtherMarket segment by Regions/Countries, this report coversUnited StatesEuropeChinaJapanSoutheast AsiaIndiaCentral & South AmericaThe study objectives of this report are:To analyze global AI/Machine Learning status, future forecast, growth opportunity, key market and key players.To present the AI/Machine Learning development in United States, Europe and China.To strategically profile the key players and comprehensively analyze their development plan and strategies.To define, describe and forecast the market by product type, market and key regions.In this study, the years considered to estimate the market size of AI/Machine Learning are as follows:History Year: 2013-2017Base Year: 2017Estimated Year: 2018Forecast Year 2018 to 2025For the data information by region, company, type and application, 2017 is considered as the base year.

Whenever data information was unavailable for the base year, the prior year has been considered.Browse the full report @ https://www.orbisresearch.com/reports/index/global-ai-machine-learning-market-size-status-and-forecast-2018-2025Table of ContentsChapter One: Report Overview1.1 Study Scope1.2 Key Market Segments1.3 Players Covered1.4 Market Analysis by Type1.4.1 Global AI/Machine Learning Market Size Growth Rate by Type (2013-2025)1.4.2 TensorFlow1.4.3 Caffe21.4.4 Apache MXNet1.5 Market by Application1.5.1 Global AI/Machine Learning Market Share by Application (2013-2025)1.5.2 Automotive1.5.3 Santific Research1.5.4 Big Date1.5.5 Other1.6 Study Objectives1.7 Years ConsideredChapter Two: Global Growth Trends2.1 AI/Machine Learning Market Size2.2 AI/Machine Learning Growth Trends by Regions2.2.1 AI/Machine Learning Market Size by Regions (2013-2025)2.2.2 AI/Machine Learning Market Share by Regions (2013-2018)2.3 Industry Trends2.3.1 Market Top Trends2.3.2 Market Drivers2.3.3 Market OpportunitiesChapter Three: Market Share by Key Players3.1 AI/Machine Learning Market Size by Manufacturers3.1.1 Global AI/Machine Learning Revenue by Manufacturers (2013-2018)3.1.2 Global AI/Machine Learning Revenue Market Share by Manufacturers (2013-2018)3.1.3 Global AI/Machine Learning Market Concentration Ratio (CRChapter Five: and HHI)3.2 AI/Machine Learning Key Players Head office and Area Served3.3 Key Players AI/Machine Learning Product/Solution/Service3.4 Date of Enter into AI/Machine Learning Market3.5 Mergers & Acquisitions, Expansion PlansChapter Four: Breakdown Data by Type and Application4.1 Global AI/Machine Learning Market Size by Type (2013-2018)4.2 Global AI/Machine Learning Market Size by Application (2013-2018)Chapter Five: United States5.1 United States AI/Machine Learning Market Size (2013-2018)5.2 AI/Machine Learning Key Players in United States5.3 United States AI/Machine Learning Market Size by Type5.4 United States AI/Machine Learning Market Size by ApplicationChapter Six: Europe6.1 Europe AI/Machine Learning Market Size (2013-2018)6.2 AI/Machine Learning Key Players in Europe6.3 Europe AI/Machine Learning Market Size by Type6.4 Europe AI/Machine Learning Market Size by ApplicationChapter Seven: China7.1 China AI/Machine Learning Market Size (2013-2018)7.2 AI/Machine Learning Key Players in China7.3 China AI/Machine Learning Market Size by Type7.4 China AI/Machine Learning Market Size by ApplicationChapter Eight: Japan8.1 Japan AI/Machine Learning Market Size (2013-2018)8.2 AI/Machine Learning Key Players in Japan8.3 Japan AI/Machine Learning Market Size by Type8.4 Japan AI/Machine Learning Market Size by ApplicationChapter Nine: Southeast Asia9.1 Southeast Asia AI/Machine Learning Market Size (2013-2018)9.2 AI/Machine Learning Key Players in Southeast Asia9.3 Southeast Asia AI/Machine Learning Market Size by Type9.4 Southeast Asia AI/Machine Learning Market Size by ApplicationChapter Ten: India10.1 India AI/Machine Learning Market Size (2013-2018)10.2 AI/Machine Learning Key Players in India10.3 India AI/Machine Learning Market Size by Type10.4 India AI/Machine Learning Market Size by ApplicationChapter Eleven: Central & South America11.1 Central & South America AI/Machine Learning Market Size (2013-2018)11.2 AI/Machine Learning Key Players in Central & South America11.3 Central & South America AI/Machine Learning Market Size by Type11.4 Central & South America AI/Machine Learning Market Size by ApplicationChapter Twelve: International Players Profiles12.1 GOOGLE12.1.1 GOOGLE Company Details12.1.2 Company Description and Business Overview12.1.3 AI/Machine Learning Introduction12.1.4 GOOGLE Revenue in AI/Machine Learning Business (2013-2018)12.1.5 GOOGLE Recent Development12.2 IBM12.2.1 IBM Company Details12.2.2 Company Description and Business Overview12.2.3 AI/Machine Learning Introduction12.2.4 IBM Revenue in AI/Machine Learning Business (2013-2018)12.2.5 IBM Recent Development12.3 BAIDU12.3.1 BAIDU Company Details12.3.2 Company Description and Business Overview12.3.3 AI/Machine Learning Introduction12.3.4 BAIDU Revenue in AI/Machine Learning Business (2013-2018)12.3.5 BAIDU Recent Development12.4 SOUNDHOUND12.4.1 SOUNDHOUND Company Details12.4.2 Company Description and Business Overview12.4.3 AI/Machine Learning Introduction12.4.4 SOUNDHOUND Revenue in AI/Machine Learning Business (2013-2018)12.4.5 SOUNDHOUND Recent Development12.5 ZEBRA MEDICAL VISION12.5.1 ZEBRA MEDICAL VISION Company Details12.5.2 Company Description and Business Overview12.5.3 AI/Machine Learning Introduction12.5.4 ZEBRA MEDICAL VISION Revenue in AI/Machine Learning Business (2013-2018)12.5.5 ZEBRA MEDICAL VISION Recent Development12.6 PRISMA12.6.1 PRISMA Company Details12.6.2 Company Description and Business Overview12.6.3 AI/Machine Learning Introduction12.6.4 PRISMA Revenue in AI/Machine Learning Business (2013-2018)12.6.5 PRISMA Recent Development12.7 IRIS AI12.7.1 IRIS AI Company Details12.7.2 Company Description and Business Overview12.7.3 AI/Machine Learning Introduction12.7.4 IRIS AI Revenue in AI/Machine Learning Business (2013-2018)12.7.5 IRIS AI Recent Development12.8 PINTEREST12.8.1 PINTEREST Company Details12.8.2 Company Description and Business Overview12.8.3 AI/Machine Learning Introduction12.8.4 PINTEREST Revenue in AI/Machine Learning Business (2013-2018)12.8.5 PINTEREST Recent Development12.9 TRADEMARKVISION12.9.1 TRADEMARKVISION Company Details12.9.2 Company Description and Business Overview12.9.3 AI/Machine Learning Introduction12.9.4 TRADEMARKVISION Revenue in AI/Machine Learning Business (2013-2018)12.9.5 TRADEMARKVISION Recent Development12.10 DESCARTES LABS12.10.1 DESCARTES LABS Company Details12.10.2 Company Description and Business Overview12.10.3 AI/Machine Learning Introduction12.10.4 DESCARTES LABS Revenue in AI/Machine Learning Business (2013-2018)12.10.5 DESCARTES LABS Recent Development12.11 AmazonChapter Thirteen: Market Forecast 2018-202513.1 Market Size Forecast by Regions13.2 United States13.3 Europe13.4 China13.5 Japan13.6 Southeast Asia13.7 India13.8 Central & South America13.9 Market Size Forecast by Product (2018-2025)13.10 Market Size Forecast by Application (2018-2025)Chapter Fourteen: Analyst's Viewpoints/ConclusionsChapter Fifteen: Appendix15.1 Research Methodology15.1.1 Methodology/Research Approach15.1.1.1 Research Programs/Design15.1.1.2 Market Size Estimation12.1.1.3 Market Breakdown and Data Triangulation15.1.2 Data Source15.1.2.1 Secondary Sources15.1.2.2 Primary Sources15.2 Disclaimer15.3 Author DetailsDirect purchase the report @ https://www.orbisresearch.com/contact/purchase-single-user/2339368About Us:Orbis Research (orbisresearch.com) is a single point aid for all your market research requirements.

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