Global Neural Networks Software Market Overview:
A neural network is a series of algorithms that endeavors to recognize underlying relationships in a set of data through a process that mimics the way the human brain operates. Neural network software is used to simulate, research, develop, and apply artificial neural networks, software concepts adapted from biological neural networks, and in some cases, a wider array of adaptive systems such as artificial intelligence and machine learning. Some of the players profiled in the study are Google Inc. (United States), IBM Corporation (United States), Microsoft Corporation (United States), Intel Corporation (United States), Oracle Corporation (United States), SAP SE (Germany), Qualcomm Technologies Inc. (United States), Alyuda Research LLC (United States), Neural Technologies Ltd. (United Kingdom) and Ward Systems Group Inc. (United States).
On the basis of geography, the market of Neural Networks Software has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). If we see Market by Deployment Mode, the sub-segment i.e. On-premises will boost the Neural Networks Software market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth. If we see Market by Component, the sub-segment i.e. Neural Network Software will boost the Neural Networks Software market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.
Market Growth Drivers
- Increasing Usage of Emerging Technologies to Detect Nonlinear Relationships
- Rising Demand of Active Data Mining
- Technological Advancements is Boosting the Market
- Lack Of High Level Of Expertise Among The ANN Service Providers To Deploy Neural Network Software
- Investments by Public and Private Sectors for Enhancement of Business Solutions
- Increasing Demand to Detect Complex Nonlinear Relationships Between Variables and Recognise Patterns in Big Data
- Absence Of Government And Compliance Issues
Key Market Developments:
On January 2020, Google has acquired Appsheet which is the intelligent no-code platform for business apps.
In August 2019, IBM has announced the first release of Python SDK and Node.js SDK for interacting with IBMís Cloud Security Advisor service findings Application Program Interface (API) to accelerate the customersí platform integration with the service
The companies are now exploring the market by adopting mergers & acquisitions, expansions, investments, new developments in existing products and collaborations as their preferred strategies. The players are also exploring new geographies and industries through expansions and acquisitions so as to avail a competitive advantage through combined synergies.
Machine learning/Artificial Intelligence (AI) solution and service providers, Cognitive and AI technology experts/providers, Business intelligence tools and system experts/providers, System integrators, End-users/consumers/enterprise users, Telecommunication providers, Mobile network operators, Internet of Things (IoT) device/wearable device manufacturers, Managed service providers, Technology consultants and Training and education service providers
Major Objectives Focused through this Study
To define, describe, and forecast the Global Neural Networks Software market on the basis of product [Analytical Software, Optimization Software, Data Mining & Archiving and Visualization Software] , application [BFSI, Government & Defense, Industrial Manufacturing, Media, Retail & Ecommerce, Telecom & IT, Transportation & Logistics and Others], key regions and end user
To provide in-depth information regarding major influencing factors affecting the growth of the market (trends, drivers, restraints, opportunities, and industry-centric and regional challenges)
To strategically analyse the micro-markets and important business segments with respect to individual growth drivers , market trends and potential, and historical contributions to the total market
Identifying the opportunities in the market for key stakeholders and detailing the competitive landscape for market leaders
To provide market size for various segments of the Neural Networks Software market with respect to major geographies, namely, South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico)
To strategically profile the key players and analyzing their market shares and core competencies in the Neural Networks Software industry
To track key developments such as product launches, expansions, agreements, partnerships, mergers & acquisitions, and R&D activities that are key factors in shaping the market
Data related to EXIM [Export- Import], production & consumption by country or regional level break-up can be provided based on client request**. Additionally, the Players which are also part of the research are Afiniti (United States), GMDH LLC (United States), Starmind International AG (Switzerland), Neuralware (United States), Slagkryssaren AB (Sweden), Corporation (Canada) and Swiftkey (United Kingdom).
** Confirmation on availability of data would be informed prior purchase
While framing the research framework, major and emerging players operating in the Neural Networks Software market in various regions have been profiled, and their offerings, geographic footprints, and distribution/sales channels have been analysed through in-depth discussions. The primary research is performed by taking the interviews of executives of various companies dealing in the market as well as using the survey reports, research institute, and latest research reports. Meanwhile, analyst team keeps preparing set of questionnaires and after getting appointee list; the target audience are then tapped and segregated with various mediums and channels that are feasible for making connection that includes email communication, telephonic, skype, LinkedIn Group & InMail, Community Forums, Community Forums, open Survey, SurveyMonkey etc.