Edison, NJ -- (SBWIRE) -- 04/29/2019 -- IoT is about connecting machines and making use of the data generated from those machines. Artificial Intelligence (AI) is about simulating intelligent behavior in machines of all kinds. Clearly an overlap. As IoT devices will generate vast amounts of data, then AI will be functionally necessary to deal with these huge volumes. Data is only useful if it creates an action. To make data actionable, it needs to be supplemented with context and creativity. Based on the component, the market has been segmented into platforms, software solutions, and services. Based on technology, the market has been classified into Ml and deep learning and natural language processing.

According to Market Analyst at AMA, the Global AI in IoT market may see a growth rate of 26.2% and would reach the market size of USD16.5 Billion by 2024.

Advance Market Analytics recently introduced AI in IoT Market study with in-depth overview, describing about the Product / Industry Scope and elaborates market outlook and status to 2024. AI in IoT Market explores effective study on varied sections of Industry like opportunities, size, growth, technology, demand and trend of high leading players. It also provides market key statistics on the status of manufacturers, a valuable source of guidance, direction for companies and individuals interested in the industry.

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Major Key Players in This Report Include,
IBM (United States), Microsoft (United States), Google (United States), PTC (United States), AWS, Inc. (United States), Oracle (United States), General Electric (United States), Salesforce (United States), SAP (Germany) and Hitachi (Japan)

The report focuses on Global AI in IoT Market major leading industry players with information such as company profiles, product picture and specification, capacity, production, price, cost, revenue and contact information. Upstream raw materials, equipment and downstream consumers analysis is also carried out. What's more, the market development trends and marketing channels are analyzed.

On the basis of geography, the market of AI in IoT has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Taiwan, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). North America region held largest market share in the year 2018. If we see Market by Vertical, the sub-segment i.e. Manufacturing will boost the AI in IoT market. Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

The research methodology used to estimate and forecast the AI in IoT Market began with capturing data from the key vendors' revenue and market size of the individual segments through secondary sources, industry associations, and trade journals, such as the World Analytics Association and the Cloud Native Computing Foundation. The bottom-up procedure was employed to arrive at the overall market size of the market from the individual segments. After arriving at the overall market size, the total market was split into several segments and sub segments, which were then verified through primary research by conducting extensive interviews with the key industry personnel, such as Chief Executive Officers (CEOs), Vice Presidents (VPs), directors, and executives. The data triangulation and market breakdown procedures were employed to complete the overall market engineering process and arrive at the exact statistics for all the segments and sub segments.

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Strategic Points Covered in Table of Content of AI in IoT Market:
Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the AI in IoT market
Chapter 2: Exclusive Summary – the basic information of the AI in IoT Market.
Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges of the AI in IoT
Chapter 4: Presenting the AI in IoT Market Factor Analysis Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.
Chapter 5: Displaying the by Type, End User and Region 2013-2018
Chapter 6: Evaluating the leading manufacturers of the AI in IoT market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile
Chapter 7: To evaluate the market by segments, by countries and by manufacturers with revenue share and sales by key countries in these various regions.
Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source

Finally, AI in IoT Market is a valuable source of guidance for individuals and companies.

Data Sources & Methodology

The primary sources involves the industry experts from the AI in IoT Market including the management organizations, processing organizations, analytics service providers of the industry's value chain. All primary sources were interviewed to gather and authenticate qualitative & quantitative information and determine the future prospects.

In the extensive primary research process undertaken for this study, the primary sources – Postal Surveys, telephone, Online & Face-to-Face Survey were considered to obtain and verify both qualitative and quantitative aspects of this research study. When it comes to secondary sources Company's Annual reports, press Releases, Websites, Investor Presentation, Conference Call transcripts, Webinar, Journals, Regulators, National Customs and Industry Associations were given primary weight-age.

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