Market Research Report
AI Market by Technology, Solutions and Apps, Use Cases and Industry Verticals
|AI Market by Technology, Solutions and Apps, Use Cases and Industry Verticals|
Published: November 10, 2021
Content info: 2,410 Pages
Delivery time: 1-2 business days
This represents the most comprehensive research addressing market opportunities for artificial intelligence technology, solutions and applications. This research bundle contains over 2,400 pages consisting of the following individual reports:
Priced separately, these reports represent an aggregate value of over $35,000 at the single-user license level. Offered as a group, these reports may be procured for only $12,000, $14,000, $18,000 and $24,000 at the Single-user, Multi-user, Enterprise and Global Enterprise License levels respectively.
Artificial Intelligence (AI) represents a wide variety of technologies including Machine Learning, Deep Learning, Natural Language Processing and more. Mind Commerce sees AI increasingly embedded within many systems and applications including everything from data management to retail shopping.
The AI segment is currently very fragmented, characterized with most companies focusing on silo approaches to solutions. Longer term, Mind Commerce sees many solutions involving multiple AI types as well as integration across other key areas such as the Internet of Things (IoT) and data analytics.
There are many potential use cases for AI within the cybersecurity domain. For example, AI may be used in IoT to bolster security, safeguard assets, and reduce fraud.
There are varying opinions about security in IoT. For example, some companies favor a distributed (decentralized) approach whereas other companies believe a more centralized approach leveraging strictly centralized cloud architecture makes more sense.
Mind Commerce sees no way in which signature-based security solutions will work with IoT in an edge computing environment for a variety of reasons including the limitation on throughput of communications between distributed end-points and centralized cloud.
AI has various advantages including the fact that it is a more lightweight application (because it does not require all the data that comes with tracking digital signatures/code for known viruses), more effective in identifying malware, easier and less costly to maintain as there is no need to constantly identify new malware code. This is all because AI based security is looking for malicious behaviors rather than known malicious code.
Longer term, AI will move beyond fraud prevention and prevention of malicious acts as AI will be used to feed advanced analytics and decision making. This will be especially true in IoT solutions involving real-time data as AI will be used to make determinations for autonomous actions.
Consumer-facing apps and services supported by AI are many and varied including chatbots and Virtual Personal Assistants (VPA) in support of customer care and lifestyle enhancement. The automobile industry is another example in which AI is becoming increasingly useful, both in the near-term for solutions such as inclusion of VPAs, and longer-term use cases such as AI support of self-driving vehicles.
Another consumer market area in which AI will be integrated is wearable technology. As wearables become more mainstream, and integrate into everyday life with increasing dependency, there will be a need for integration with Artificial Intelligence, Big Data, and Analytics.
AI is expected to have a big impact on data management. However, the impact goes well beyond data management as we anticipate that these technologies will increasingly become part of every network, device, application, and service.
One area important to enterprise will be Intelligent Decision Support Systems (IDSS), which are a form of Expert System which utilize AI to optimize decision making. IDSS will be used in many fields including agriculture, medicine, urban development, and other areas. IDSS will also be used in policy making and strategy at the highest levels of enterprise as well as governmental organizations.]