Industry Background:
The Artificial Intelligence of Thing is designed with the combination of the adoption of Artificial Intelligence (AI) technologies within the Internet of Things (IoT) infrastructure to expand IoT operations, enhance human-machine interactions, and enhance data management, analytics, and decision-making capabilities. The AI technology, machine learning, provides IoT networks/systems with the ability to learn from data, transforming IoT enabled assets into machine learning. The artificial intelligence also helps in transforming IoT data into useful information, facilitating improved decision making. The Artificial Intelligence of Things has transformed both technologies by adding value to IoT through advanced machine learning and decision making. Along with that IoT is adding value to AI through connectivity and data exchange.This growth is primarily driven by High adoption of IoT automated connected devices in developed regions, because with the rapid movement of artificial intelligence for an advanced solution is making human life more and easier. Along with increasing government funding on smart city projects in an emerging nation such as China, India, and others. The combination of both technologies provides centralized and edge computing solutions..
Attributes | Details |
---|
Study Period | 2018-2028 |
Base Year | 2022 |
Forecast Period | 2023-2028 |
Volume Unit | K Units |
Value Unit | USD (Million) |
Customization Scope | Avail customization with purchase of this report. Add or modify country, region & or narrow down segments in the final scope subject to feasibility |
The Systems Software sector in the
region has been increasing at a sustainable rate and further growth is expected to be witnessed over the forecast period, owing to the robust investments and expansion in production facilities in the region. Major Players, such as Tachyus (United States), SAS (United States), IBM (United States), HPE (United States), SAP (Germany), Microsoft (United States), Sentrain, Inc. (United States), Maana (United States), Neura (United States), Augury Systems (United States) and Glassbeam (United States), etc have either set up their manufacturing facilities or are planning to start new provision in the dominated region in the upcoming years.
Key Developments in the Market:
In July 2021, SparkCognition, the world's leading infrastructure-centric artificial intelligence (AI) company, acquired Maana, a leading digital knowledge platform company. With this acquisition, SparkCognition expands its Fortune Global 100 presence through multi-year software deals, gaining Maana's computational knowledge graph technology, industry expertise, and clients such as Chevron, Shell, Aramco, and Airbus. SparkCognition's AI platform combined with Maana's digital knowledge technology will accelerate time-to-value for customers adopting AI-powered decision-making across the enterprise.
In Jan 2020, Insurers announced the launch of artificial intelligence of things risk management solutions. This loss prevention services for corporate clients. This solution is to develop the digital risk engineer concept to provide analytic data for connected devices.The market is fragmented by key market-leading players who are focusing on production technologies, improving efficiency and solutions. These market players are focusing on capturing opportunities by tracking the ongoing process improvement and financial flexibility to invest in market growth strategies.
Influencing Trend:
High Demand for Advanced Decision-Making Solutions and High Involvement of AIOT in Deployment of 5G IoT
Market Growth Drivers:
High adoption of IoT automated connected devices in developed regions, because with the rapid movement of artificial intelligence for an advanced solution is making human life more and easier. Along with increasing government funding on smart city projects in an emerging nation such as China, India, and others. The combination of both technologies provides centralized and edge computing solutions.
Challenges:
Undependability of AI Algorithms
Restraints:
Rising Concern Related to the Data Privacy
Opportunities:
Increasing Number of Automobile Manufacturers, Along With High Adoption of the AI Technology in Autonomous Vehicles
AMA Research follows a focused and realistic research framework that provides the ability to study the crucial market dynamics in several regions across the world. Moreover, an in-depth assessment is mainly conducted by our analysts on geographical regions to provide clients and businesses the opportunity to dominate in niche markets and expand in emerging markets across the globe. This market research study also showcases the spontaneously changing Players landscape impacting the market's growth. Furthermore, our market researchers extensively analyze the products and services offered by multiple players competing to increase their market share and presence.
Data Sources of Artificial Intelligence of Things Market Study
Primary Collection: InMail, LinkedIn Groups, Survey Monkey, Google, and Other professional Forums are some of the mediums utilized to gather primary data through key industry participants and appointees, subject-matter experts, C-level executives of Artificial Intelligence of Things Industry, among others including independent industry consultants, experts, to obtain and verify critical qualitative commentary and opinion and quantitative statistics, to assess future market prospects.
The primary interviews and data collected as per the below protocols: By Designation: C-Level, D-Level, Others
By Company Type: Tier 1, Tier 2, Tier 3
Secondary Data Sources such as Annual reports, Press releases, Analyst meetings, Conference calls, Investor presentations, Management statements, and SEC filings of Artificial Intelligence of Things players along with Regulatory Sites, Association, World bank, etc were used as sources secondary set of data.
Customization in the Report
AMA Research features not only specific market forecasts but also includes significant value-added commentary on:
- Market Trends
- Technological Trends and Innovations
- Market Maturity Indicators
- Growth Drivers and Constraints
- New Entrants into the Market & Entry/Exit Barriers
- To Seize Powerful Market Opportunities
- Identify Key Business Segments, Market Proposition & Gap Analysis
Against this Challenging Backdrop, Artificial Intelligence of Things Study Sheds Light on
The Artificial Intelligence of Things Market status quo and key characteristics. To end this, Analysts at AMA organize and took surveys of the Artificial Intelligence of Things industry Players. The resultant snapshot serves as a basis for understanding why and how the industry can be expected to change.
Where Artificial Intelligence of Things industry is heading and what are the top priorities. Insights are drawn from financial analysis, surveys, and interviews with key executives and industry experts.
How every company in this diverse set of Players can best navigate the emerging competition landscape and follow a strategy that helps them position to hold the value they currently claim or capture the new addressable opportunity.