Categories: Market Research

Artificial Intelligence (AI) In IoT Market Report: Global Size, Share, Growth Analysis And Forecast 2033

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The Artificial Intelligence (AI) in IoT Global Market Report 2024 by The Business Research Company provides market overview across 60+ geographies in the seven regions – Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa, encompassing 27 major global industries. The report presents a comprehensive analysis over a ten-year historic period (2010-2021) and extends its insights into a ten-year forecast period (2023-2033).

Learn More On The Artificial Intelligence (AI) in IoT Market:

https://www.thebusinessresearchcompany.com/report/artificial-intelligence-ai-in-iot-global-market-report

According to The Business Research Company’s Artificial Intelligence (AI) in IoT Global Market Report 2024, The artificial intelligence (AI) in iot market size has grown exponentially in recent years. It will grow from $12.02 billion in 2023 to $15.34 billion in 2024 at a compound annual growth rate (CAGR) of 27.6%.  The  growth in the historic period can be attributed to increasing demand for data management,rising demand in major industries,urbanization and industrialization,increase in iot device proliferation,regulatory support and incentives.

The artificial intelligence (AI) in iot market size is expected to see exponential growth in the next few years. It will grow to $39.95 billion in 2028 at a compound annual growth rate (CAGR) of 27.0%.  The growth in the forecast period can be attributed to 5g network expansion,increasing demand due to growing population,industry-specific ai applications,growing demand for powerful vehicles,increase in end-user demand. Major trends in the forecast period include demand for ai in iot in emerging markets.

The 5G network expansion is expected to propel the growth of artificial intelligence (AI) in IoT market going forward. 5G network expansion refers to the deployment and implementation of fifth-generation wireless cellular technology, which offers higher upload and download speeds, more consistent connections and improved capacity than previous networks. The high-speed, low-latency capabilities of 5G technology will significantly enhance the connectivity and data transfer capabilities of IoT devices, providing a robust foundation for the deployment of AI-driven applications. For instance, in June 2022, according to reports published by 5G Americas., a US-based telecommunications service company, global 5G connections reached 701 million in Q1 2022, up 17% from Q4 2021, and are expected to reach 4.8 billion by the end of 2026. Therefore, the 5G network expansion is driving the growth of artificial intelligence (AI) in IoT market.

Get A Free Sample Of The Report (Includes Graphs And Tables):

https://www.thebusinessresearchcompany.com/sample.aspx?id=13579&type=smp

The artificial intelligence (ai) in iot market covered in this report is segmented –

1) By Components: Software, Platforms, Services

2) By Technology: Machine Learning, Natural Language Processing, Image Processing, Speech Recognition

3) By-End-User: Energy And Utilities, Manufacturing, Retail, Transportation And Mobility, Banking  Financial Services And Insurance (BFSI)

Major companies operating in the artificial intelligence (AI) in IoT market are focusing on introducing innovative solutions to increase their profitability in the market. For instance, in October 2022, Checkpoint Software Technologies Ltd., an Israel-based software company, introduced Check Point Quantum Titan, a new release of the Check Point Quantum cybersecurity platform, designed to provide faster, AI-enabled network security and advanced threat prevention for on-premise, cloud, and IoT applications. It includes AI-enabled network security, advanced threat prevention, IoT security and ultra-scalable protections, that help to prevent cyberattacks.

The artificial intelligence (ai) in iot market report table of contents includes:

  1. Executive Summary
  2. Market Characteristics
  3. Market Trends And Strategies
  4. Impact Of COVID-19
  5. Market Size And Growth
  6. Segmentation
  7. Regional And Country Analysis

…….

  1. Competitive Landscape And Company Profiles
  2. Key Mergers And Acquisitions
  3. Future Outlook and Potential Analysis

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