AI in IoT Market Scope

A new report titled “Global AI in IoT Market Professional Report 2020-2026” has been added by Straits Research to its repository of research reports. The report analyzes and estimates the AI in IoT Market Size  on global, regional, and country levels. The report offers data from previous years and an in-depth analysis based on the revenue. 

The global AI in IoT market is expected to grow at a CAGR of 24.59% during the forecast period, 2019–2026.

While studying the global market for AI in IoT, the report also thoroughly analyzes the driving factors, development trends, restraints, challenges, and lucrative challenges to showcase the current and future market scenario. Straits Research has provided a comprehensive report that consists of the key market strategies based on the latest technologies, applications, and different geographies around the world. The market is expected to show significant growth over the forecast period due to the increasing demand for AI in IoT Industry.

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Competitive Analysis

Google, Microsoft, IBM Corporation, Amazon Web Services, Inc, Oracle , SAP, GE, Salesforce, Hitachi, Uptake, SAS, Autoplant Systems Pvt Ltd., Kairos, Softweb Solutions, Arundo, C3 IoT, Anagog, Imagimob, and Thingstel.

These key players have adopted organic and inorganic growth strategies, including new product launches and developments, joint ventures, partnerships, research and development (R&D) activities, agreements, contracts, collaborations, and mergers & acquisitions (M&A) to strengthen their position in the market.

AI in IoT Market Segmentation

By Component,Platforms, Software Solutions, Services,
By Technology, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Others,
By Application, Transportation & Mobility, IT & Telecommunication, Energy & Utilities, Manufacturing, Retail, Healthcare, Others,

This report forecasts revenue growth at the global, regional, and local levels. It analyzes the most recent industry trends from 2020 to 2026 in each of the segments and sub-segments. Some of the major geographies included in the market are given below:

• North America (U.S., Canada)
• Europe (U.K., Germany, France, Italy)
• Asia Pacific (China, India, Japan, Singapore, Malaysia)
• Latin America (Brazil, Mexico)
• Middle East & Africa

Study Objectives of Global AI in IoT Market:

• To provide an in-depth analysis of the overall structure of the market along with the forecast of the various segments and sub-segments of the global AI in IoT market.
• To provide insights about the factors influencing the growth of the market.
• To study the global AI in IoT market analysis on the basis of porter’s five forces analysis, SWOT, and pestel analysis.
• To provide historical data and forecast revenue of the market segments and their sub-segments regarding regional distribution, including North America, Latin America, Europe, Asia Pacific, the Middle East, and Africa.
• To provide a detailed country-level analysis of the global industry to determine the current AI in IoT market size and the future prospective.
• To provide a comprehensive analysis of the market for segments by product type, the technology used, end-users, applications, and region.
• To strategically profile the leading players functioning in the global AI in IoT market, comprehensively analyze their core competencies, and frame a competitive advantage.
• To identify and study the key developments such as new product launches, mergers & acquisitions (M&A), joint ventures, research and development (R&D) activities, and strategic alliances in the global AI in IoT market.

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Other features of the report:

1. Gives a thorough analysis of the key strategies with a focus on the corporate structure, R&D methods, localization strategies, production capabilities, sales, and performance in various companies. 
2. Provides valuable insights into the product portfolio, including product planning, development, and positioning. 
3. Analyses the role of key market players and their partnerships, mergers, and acquisitions. 

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