Cognitive Systems, Content Analytics and Discovery Software Market
Cognitive Systems, Content Analytics and Discovery Software Market (Application - Machine Learning, Natural Language Processing, Automated Reasoning, Speech Analytics, Text Analytics, and Social Media Analytics; Industries - Banking, Retail, Healthcare, IT and Telecom, and Transportation; Deployment - On-premises and Cloud) - Global Industry Analysis, Size, Share, Growth, Trends and Forecast 2017 - 2025
Press Release :
Global Cognitive Systems, Content Analytics and Discovery Software Market: Snapshot
Cognitive computing refers to the technology platform that is based on scientific disciplines of signal processing and artificial intelligence. These platforms encompass automated reasoning, machine learning, speech recognition, and natural language processing. Creating and assessing the evidence based on the hypothesis made on human communication and natural language, along with further learning and adaption from user responses and selections is the standard build of a cognitive system.
Content analytics is a wide set of computer-assisted techniques for contextualized interpretations of documents. It is the amalgamation of mining and text analytics, which has the capability to visually explore and identify patterns, trends, and other statically available facts available in various types of content across several sources. Content analytics software is mostly used to give more perceptibility to the amount of content that is being generated. Data discovery is a type of system that scans the available data through different sources and extracts important information from data pertaining to the business goals. It is a decision-making platform that integrates, structures, and refines data.
Transparency Market Research estimates that the global market for cognitive systems, content analytics and discovery software will exhibit an exponential CAGR of 23.5% from 2017 to 2025, rising from a valuation of US$9.88 bn in 2016 to US$60.06 bn by 2025.
Machine Learning to Emerge as Most Promising Application Segment
On the basis of application, the global cognitive systems, content analytics and discovery software market has been segmented in the report into machine learning, natural language processing, automated reasoning, speech analytics, text analytics, and social media analytics. Of these, the segment of natural language processing dominated in terms of revenue contribution to the global market in 2016. The vast rise in usage of smart devices is one of the key factors bolstering the usage of natural language processing tools across the globe.
The segment of machine learning, which accounted for a 21.7% of the global market in 2016, holding the second position, is expected to emerge as one of the most attractive application segments over the report’s forecast period. The segment is expected to exhibit a massive 25.5% CAGR from 2017 to 2025. Increasing adoption of cloud based technology is expected to bolster the demand of machine learning tools across the world during the forecast period.
Asia Pacific to Lead to Most Promising Growth Opportunities
On the basis of geography, the global market for cognitive systems, content analytics and discovery software has been segmented in the report into North America, Europe, Asia Pacific, Middle East and Africa and Latin America. Of these, North America dominated the global market in 2016, accounting for a massive 38.4% of the overall market in 2016. Europe held the second dominant share in the global market revenue in 2016. The Europe market is expected to continue to lead upon a healthy growth path over the forecast period as well, driven by the vast rise in areas of application of artificial intelligence and the high demand of automation across the industrial sector.
Asia Pacific presently holds a relatively smaller share in the global cognitive systems, content analytics and discovery software market but is expected to be one of the leading regional markets to decide the path of market’s growth in the near future. An impressive rise in digitization across the industrial, government, and public sectors and the vast rise in highly advanced IT infrastructure in the enterprise sector in countries such as India and China will continue to drive the Asia Pacific market in the next few years. The Asia Pacific market is expected to be one of the most promising investment avenues for global vendors as the regional market is expected to exhibit a promising 25.0% CAGR from 2017 to 2025.
Some of the leading companies operating in the global cognitive systems, content analytics and discovery software market are Microsoft Corporation (U.S.), International Business Machines Corporation (U.S.), Google Inc. (U.S.), Symantec corporation (U.S.), SAP SE (Germany), Adobe Systems Inc.(U.S.), Palantir Technologies, Inc. (U.S.), Oracle Corporation (U.S.), OpenText Corporation (Canada), and SAS Institute, Inc. (U.S.).
Use of AI Technology to Handle Data to Boost Cognitive Systems, Content Analytics and Discovery Software Market
Continuous technological developments in businesses across the globe have resulted in generation of huge data in a variety of industrial sectors. Artificial intelligence (AI) techniques are increasingly being used to handle this massive amount of data. Cognitive technologies, information analytics, and exploration software are in high demand as a result of this situation, which is likely to foster development of the global cognitive systems, content analytics and discovery software market in near future. .
Cognitive computing is a technology platform that employs scientific signal processing and AI techniques. Machine learning, speech recognition, automatic reasoning, and natural language processing are all parts of these platforms. Cognitive systems are capable of analyzing both unstructured and organized data from a variety of sources. While these programs should understand meaning, they can also consider data that is inconsistent. These programs will use this skill to come up with the most possible answers to challenges and queries.
Increasing R&D Activities by Key Players to Boost Demand in the Market
Content analytics is a broad term for a set of computer-assisted techniques for interpreting contextualized records. It's a hybrid of data mining and text analytics that allows you to visually explore and discover trends, patterns, and other statically readable information in a variety of content styles from a variety of sources. Content analytics software is typically used to provide greater clarity on the volume of content being produced. Growing prominence of this software is likely to bode well for the global cognitive systems, content analytics and discovery software market in near future.
Data exploration is a type of device that can search data from a variety of sources and retrieve key data from all content relating to particular business goals. As a result, data exploration serves as one of the most important decision-making platforms for refining, structuring, and integrating data.
The research and development efforts of large businesses in the global cognitive systems, content analytics and discovery software market are becoming increasingly important. The aim of these analyses is to bring new technologies to the market. Many businesses are likely to form partnerships and acquire businesses in the near future. These tactics are likely to assist them in establishing a strong presence in the market in the years to come.
Global Cognitive Systems, Content Analytics and Discovery Software: Overview
Increasing demand of connected healthcare systems is also an important trend in the global market. Connected healthcare systems are likely to collect real time data and information which helps in assisting clinicians in delivering better care and empower people to make better choices. It helps in reducing medical errors and enhances medical administration efficiency. Adopting cognitive systems in healthcare is likely to help physicians to find connections and correlations and identifying new patterns and insights to quicken treatments, discoveries and insights.
Cognitive Systems, Content Analytics and Discovery Software: Drivers and Restraints
Increasing demand of artificial intelligence is a key trend in the market. Demand for artificial intelligence is increasing significantly with the advancement in technologies, and it is an important trend in the cognitive systems, content analytics, and discovery software market. Artificial intelligence is witnessing market growth due to the rise in large and complicated data sets. The biggest revolution is machine learning, where instead of providing linear instructions to a computer, considerable amount of data is supplied and let the computer learn and interpret on their own.
Increasing use of competitive intelligence and advanced analytics escalating data driven decision making is one of the key driving factors in the cognitive systems, content analytics and discovery software market globally. It is very difficult to access and keep track of each and every individual data due to the rise of big data. Therefore, it is necessary to implement competitive intelligence and advanced analytics tools that are likely to help gather, examine, and distribute intelligence of products, competitors, and customers, and also help discover deeper insights, generate recommendations, and make predictions. These tools help identify potential opportunities and risks beforehand. Advanced analytics techniques comprise data mining, text mining, pattern matching, graph analysis, and neural networks. Competitive intelligence is focused on external business environment and is involved in collecting information and converting it into intelligence, which is then employed for making decisions. Presently, business intelligence tools require very less support from the IT department. The changes in how data is visualized and mined allows the business activities to work with analytics tools and make data driven decisions with or without any technological background. Increasing volume of data tends to increase the need of data driven decision-making software that easily derives actionable data in real-time. Utilizing the analytics and discovery software is likely to support organizations in making decisions and anticipate the market trends and possible risks.
The factor responsible for setting back the growth of this market is due to the prediction based on the past data. The cognitive systems, content analytics and discovery software technologies are at the budding stage due to which they faces various restraining factors. Past-based predictions is a major limitation in the market. Market dynamics are changing over time due to which predictions and analysis based on past data might not be helpful. Chances are that the analysis of the last ten years data is irrelevant to the current market scenario. These technologies when anticipating human behavior sometimes fail to consider certain variables that influence customer purchasing patterns
Cognitive Systems, Content Analytics and Discovery Software: Segmentation
Based on application, the global cognitive systems, content analytics and discovery software market is bifurcated into machine learning, natural language processing, automated reasoning, speech analytics, text analytics, social media analytics and others. On the basis of industries, the market has been bifurcated into banking, retail, healthcare, IT and telecom, transportation and others. Moreover on the basis of deployment type, the market has been bifurcated into on premises and cloud. The regional split of the market encompasses North America, Asia Pacific, Europe, Middle East and Africa and Latin America.
Some of the key companies in the global cognitive systems, content analytics and discovery software market includes Microsoft Corporation (U.S.), International Business Machines Corporation (U.S.), Google Inc. (U.S.), Symantec corporation (U.S.), SAP SE (Germany), Adobe Systems Inc.(U.S.), Palantir Technologies, Inc. (U.S.), Oracle Corporation (U.S.), OpenText Corporation (Canada),SAS Institute, Inc. (U.S.) among others.
The market has been segmented as follows:
by Deployment Type