Global Artificial Neural Network (ANN) Market, By Type (Feedback Artificial Neural Network, Feedforward Artificial Neural Network, Other), Component (Solutions, Platform/API, Services), Application (Image Recognition, Signal Recognition, Data Mining), Deployment Type (Cloud, On Premises), Organization Site (Small and Medium-Sized Enterprises, Large Enterprises), Industry (Banking, Financial Services, Insurance, Retail and Ecommerce, Healthcare and Life Sciences, Others), Country (U.S., Canada, Mexico, Brazil, Argentina, Rest of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific, Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa) Industry Trends and Forecast to 2027
Artificial neural network (ANN) market will grow at a CAGR of 20.60% in the forecast period of 2020 to 2027. The rising demand to detect complex nonlinear relationships between variables and recognize patterns in big data is an essential factor driving the artificial neural network (ANN) market.
The increasing demand to train large volumes of data sets with low supervision, rising healthcare expenditure, growing number of hospitalizations and rising prevalence of chronic diseases are the major factors among others boosting the artificial neural network (ANN) market. Moreover, the rising use of Ann in IoT and data analytics will further create new opportunities for artificial neural network (ANN) market in the forecast period mentioned above.
However, the rising difficulty in tracking the outcomes of in-process stages is the vital factor among others which will curtail the market growth, while extrapolation issues in Ann being a drawback to the market will further challenge the artificial neural network (ANN) market in the forecast period mentioned above.
This artificial neural network (ANN) market report provides details of new recent developments, trade regulations, import export analysis, production analysis, value chain optimization, market share, impact of domestic and localised market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on artificial neural network (ANN) market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
Artificial neural network (ANN) market is segmented on the basis of type, component, application, deployment type, organization site and industry. The growth among segments helps you analyse niche pockets of growth and strategies to approach the market and determine your core application areas and the difference in your target markets.
- On the basis of type, the artificial neural network (ANN) market is segmented into feedback artificial neural network, feed forward artificial neural network and other.
- Based on component, the artificial neural network (ANN) market is segmented into solutions, platform/API and services.
- Based on application, the artificial neural network (ANN) market is segmented into image recognition, signal recognition and data mining.
- Based on deployment type, the artificial neural network (ANN) market is segmented into cloud and on premises.
- Based on organization site, the artificial neural network (ANN) market is segmented into small and medium-sized enterprises and large enterprises.
- The artificial neural network (ANN) market is also segmented on the basis of industry into banking, financial services, insurance, retail and ecommerce, healthcare and life sciences and others.
Global Artificial Neural Network (ANN) Market Scope Country Level Analysis
Artificial neural network (ANN) market is analysed and market size, volume information is provided by country, type, component, application, deployment type, organization site and industry as referenced above.
The countries covered in the artificial neural network (ANN) market report are U.S., Canada and Mexico in North America, Brazil, Argentina and Rest of South America as part of South America, Germany, Italy, U.K., France, Spain, Netherlands, Belgium, Switzerland, Turkey, Russia, Rest of Europe in Europe, Japan, China, India, South Korea, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA).
North America dominates the artificial neural network (ANN) market due to rising technological advancement and high emphasis on technological innovation in the region. Asia-Pacific is the expected region in terms of growth in aircraft oxygen system market due to extensive customer base and rapid digitization activities in the region.
The country section of the report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.
Competitive Landscape and Artificial Neural Network (ANN) Market Share Analysis
Artificial neural network (ANN) market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, regional presence, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies’ focus related to artificial neural network (ANN) market.
The major players covered in artificial neural network (ANN) market report are NEURALA, INC, Clarifai, Inc, Ward Systems Group, Inc., IBM, Experfy, Inc., Catapult Group International Limited, SAP, Oracle, Stats Perform, Nielsen Sports, TABLEAU SOFTWARE, LLC, A SALESFORCE COMPANY., SAS Institute Inc., Opta, TruMedia Networks., Sportradar AG, St. Gallen and Starmind among other domestic and global players. Market share data is available for global, North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America separately. DBMR analysts understand competitive strengths and provide competitive analysis for each competitor separately.
Customization Available : Global Artificial Neural Network (ANN) Market
Data Bridge Market Research is a leader in consulting and advanced formative research. We take pride in servicing our existing and new customers with data and analysis that match and suits their goal. The report can be customised to include production cost analysis, trade route analysis, price trend analysis of target brands understanding the market for additional countries (ask for the list of countries), import export and grey area results data, literature review, consumer analysis and product base analysis. Market analysis of target competitors can be analysed from technology-based analysis to market portfolio strategies. We can add as many competitors that you require data about in the format and data style you are looking for. Our team of analysts can also provide you data in crude raw excel files pivot tables (Factbook) or can assist you in creating presentations from the data sets available in the report.