Monday 24 June 2019

Artificial Intelligence is The Future For Cyber Security

AI in Cyber Security

The cyber-attacks among organizations are getting more severe and complex, affecting their data as well as resource. Artificial intelligence in cybersecurity is a solution towards staying ahead of the threats and secure resources. Artificial intelligence can not only help in automated threat detection but also combat them without involving the workforce. The technology helps in securing sensitive data from malware and virus attacks across various sectors such as banking, financial services and insurance, defense, healthcare, manufacturing, government bodies and others.

Some of the leading players in global AI in Cyber Security market are Amazon, Cylance Inc., Darktrace, IBM Corporation, Intel Corporation, Micron Technology, Inc., NVIDIA Corporation, Samsung, Vectra AI, Inc., Xilinx Inc.

The market for artificial intelligence in cyber security is expected to grow in the forecast period on account of rising instances of cyber-attacks with increasing adoption of IoT and networking across all major industries. Moreover, concerns for data protection and vulnerability to threats over wi-fi connections is further expected to boost the growth of artificial intelligence in cyber security market. However, insider cyber threats and inability to avoid advanced threats pose quite a hindrance for the artificial intelligence in cyber security market. On the other hand, the requirements of security among SMEs is likely to offer lucrative opportunities for artificial intelligence in cyber security market.

The global artificial intelligence in cyber security market is segmented on the basis of components, deployment model, security type and industry vertical. By component, the market is classified as hardware, software and services. Based on deployment model, the market is segmented as cloud-based and on-premises. On the basis of the security type, the market is segmented as network security, endpoint security, application security and cloud security. The market on the basis of the industry vertical, is classified as BFSI, government & defense, enterprise, infrastructure, manufacturing, automotive & transportation, healthcare and others.


The "Global Artificial Intelligence In Cyber Security Market Analysis to 2027" is a specialized and in-depth study of the technology, media and telecommunications industry with a special focus on the global market trend analysis. The report aims to provide an overview of artificial intelligence in cyber security market with detailed market segmentation by components, deployment model, security type, industry vertical and geography. The global artificial intelligence in cyber security market is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the leading artificial intelligence in cyber security market players and offers key trends and opportunities in the market.

Source: The Insight Partners

Friday 14 June 2019

Can Artificial Intelligence Help To Improve Agricultural Productivity?

Artificial Intelligence In Agriculture


AI having applications in various sectors including agriculture has completely transformed the approaches of the agriculture market. AI in Agriculture helps the farmers in examining weather, soil, and field data to improve farming operations and crop productivity. AI in the agriculture market seems to be driven by the Internet of Things (IoT) due to its ability to revolutionize and transform current farming methods to a new level. Although, collecting accurate field data requires high initial investments which may hamper the growth of AI in the agriculture market.

Some of the key players influencing the market are Ag Leader Technology, Trimble Inc., Agribotix LLC, Granular, Inc., SAP, Mavrx Inc., PrecisionHawk, aWhere, IBM, and Prospera Technologies among others.

Key Benefits –
-To provide detailed information regarding the major factors (drivers, restraints, opportunities, challenges, and trends) influencing the growth of the global Artificial Intelligence in Agriculture Market
-To forecast the size of the market segments with respect to four major regional segments, namely, North America, Europe, Asia Pacific, and the Rest of the World (Latin America and the Middle East & Africa).

The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides an overview and forecast of the global Artificial Intelligence in Agriculture based on by type, component, and application. It also provides market size and forecast till 2025 for overall Artificial Intelligence in Agriculture with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America (SAM). The market by each region is later sub-segmented by respective countries and segments. The report covers analysis and forecast of 16 counties globally along with current trend and opportunities prevailing in the region.


The “Global Artificial Intelligence in Agriculture Analysis to 2025” is a specialized and in-depth study of the Artificial Intelligence in Agriculture industry with a focus on the global market trend. The report aims to provide an overview of global Artificial Intelligence in Agriculture with detailed market segmentation by type, component, application, and geography. The global Artificial Intelligence in Agriculture is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the leading market players and offers key trends and opportunities in the market.

Source:- The Insight Partners

Thursday 13 June 2019

Smart Agriculture Is Being Improved By the Artificial Intelligence

Smart Agriculture

Along with the rising trend of globalization, the people are getting more educated regarding healthy diet and thus the food and beverages industry is experiencing a sturdy shift in the food consumption pattern. More number of people today, have started including non-vegetarian food produces, which is subsequently leading to rising demand for smart agriculture market.

Some of the key players of smart agriculture market include AGCO Corporation, Ag Junction Inc., AG Leader Technology, Deere & Company, Raven Industries, Inc., Semiosbio Technologies Inc., SST Development Group, Inc., Teejet Technologies, Topcon Precision Agriculture and Trimble Navigation Limited, among others.

Global smart agriculture market has been categorized by Product type majorly into three categories; hardware, software and services. The hardware segment further comprises of sensors based monitoring system, smart detection systems, GPS enabled ranging system and drones. Whereas the services segment comprises of supply chain management, climate information and other (System Integration, Maintenance and Consulting Service). The software and services market is expected to witness highest growth rates, whereas the hardware segment is expected to grow at a moderate growth rate. 

Key trend which will predominantly effect the smart agriculture market in coming year is upcoming technological advancement in this field. It is predicted that the upcoming technological advancements in this industry would enable the farmers to regulate the requirements of a crop at any explicit location and instant in a way that will be increasingly accurate, and from a distance. The companies that survive in the ecosystem would be on account of innovations and to support the development and adoption of smart agriculture techniques. The future technological advancement in the smart agriculture is expected to ease out the lengthy procedures involved in crop production and also support in making the supply chain of smart agriculture market more effective. The needs and wants of customer increase each passing day and to meet such rapidly increasing demands, it has become very important to adopt technologies that provide better result in less time and cost.


The overall Smart agriculture market size has been derived using both primary and secondary source. The Smart agriculture market research process begins with an exhaustive secondary research using internal and external sources to obtain qualitative and quantitative information related to the market. Also, primary interview were conducted with industry participants and commentators in order to validate data and analysis. The participants who typically take part in such a process include industry expert such as VPs, business development managers, market intelligence managers and national sales managers, and external consultant such as valuation experts, research analysts and key opinion leaders specializing in the Smart agriculture market.

Source: The Insight Partners

Monday 10 June 2019

How Artificial Intelligence Changing Software Development

                      Artificial Intelligence Software



Artificial Intelligence is majorly a science which makes the machines to perform all the tasks things. To obtain this objective, the software is used, which is capable of intelligent behavior. For the development of intelligent software, it is encompassed with several capabilities such as problem-solving, reasoning, knowledge representation, learning, and perception.

Some of the leading players in global artificial intelligence market: Alphabet Inc., Cisco Systems Inc., IBM Corporation, Intel Corporation, IPsoft Inc., Microsoft Corporation, NVIDIA Corporation, Oracle Corporation, Siemens AG, Xilinx Inc.

With a continuous increase in the amount of data, the requirement for an artificial intelligence software would grow. Another factor such as rising demand for cloud-based application among the organizations of varied vertical also helps in driving the growth of artificial intelligence software market. Nevertheless, to streamline business processes and increase operational efficiency, adoption of artificial intelligence software would propel. These factors are anticipated to provide tremendous opportunities for the players operating in the artificial intelligence software market.

The global artificial intelligence software market is segmented on the basis of technology and end users. Based on technology, the market is segmented into natural language processing (NLP), computer vision, and machine learning. On the basis of end users, the artificial intelligence software market is segmented into automotive, BFSI, IT and telecom, media and entertainment, healthcare, retail, manufacturing, government, and others.

The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides an overview and forecast of the global artificial intelligence software market based on various segments. It also provides market size and forecast estimates from the year 2017 to 2027 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South & Central America. The artificial intelligence software market by each region is later sub-segmented by respective countries and segments. The report covers the analysis and forecast of 18 countries globally along with the current trend and opportunities prevailing in the region.

Source- The Insight Partners