Which new trends are likely to be seen in AI in IoT market in 2019?

COVID-19 Impact Analysis on AI in IoT Market
The global AI in IoT market is expected to grow at a CAGR of 24.59% during the forecast period, 2019–2026.
Technologies such as Artificial Intelligence (AI) and Internet of Things (IoT) are embedded in networks to instigate innovative technology solutions. The improved intelligence performance of applications and devices aids the framing of better business decisions. The confluence of AI with IoT would provide several opportunities for the growth of the AI in IoT market during the forecast period, 2019–2026. For instance, in February 2019, Singtel unveiled plans to launch an AI-powered IoT network through Microsoft Azure. The platform will access Azure’s wide set of cloud services, including IoT Hub, IoT Edge, and relative machine learning and cognitive services to introduce cloud intelligence and analytics in smart devices.

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The Major Players Covered in this Report: 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.& More.

The analysis of the AI in IoT Market by lays out the market size information and knowledge about the market trends along side factors and parameters influencing it in both short- and long-term. The research provides a comprehensive 360° view and insights, outlining the main outcomes of the industry. These essential insights assist the decision-makers in formulating better business plans and make informed decisions for improved profitability. Moreover, the analysis helps venture capitalists in understanding the businesses with a far better perspective and make aware decisions.

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,

Years that have been considered for the study of this report are as follows:

History Year: 2015-2019
Base Year: 2019
Estimated Year: 2020
Forecast Year: 2019 to 2026

The report is a valued asset for the active players, new participants, and future investors, and provides a comprehensive assessment across regions such as:

Growing Domestic Demand and Expanding Pharmaceutical Sector to Drive the Demand for AI in IoT in the APAC Region
Asia-Pacific region is anticipated to hold the largest market share in the global AI in IoT market during the forecast period 2017-2026. The growth in this region can be attributed to the presence of emerging economies like India, China, Japan, Vietnam, and Indonesia, which account for the largest share in this region. India is one of the largest producers of AI in IoT and a major exporter of the product to various countries across the globe. India accounts for around 80% of the world’s exports of AI in IoT. The favorable climatic conditions and growth of agricultural inputs and allied services like cold storage and warehousing in India are prompting higher production.

Intended Audience:
AI Solution Providers
IoT Solution Providers
System Integrators
Software Developers
Cloud Service & Solution Providers
Technology Investors
Research Institutes

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Key AI in IoT Market Trends:
- The report identifies, determines, and forecasts the Global AI in IoT Market segments based on their type, sub-type, technology used, applications, end-users, and regions.
- Industry to Industry Holds Largest Share in the AI in IoT Market
- It examines the micro-markets based on their growth trends, development patterns, future prospects, and contribution to the overall market.
- Demand from Regional / geographical is Expected to Drive the Growth
- Rising Adoption of Market Segments in the AI in IoT Growth
- North American, Europe is Expected to Witness Higher Growth Rate over the Forecast Period
- It studies the competitive developments such as partnerships and collaborations, mergers and acquisitions (M&A), research and development (R&D) activities, product developments, and expansions in the Global AI in IoT Market.

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