AI in IoT Market

AI in IoT Market Size

             2020                         2024-2032      

Report	Details
Market Size Value	USD 6 billion in 2020
Market Size Value	USD 34 billion by 2027
CAGR	28.1%
Forecast Period	2024-2032
Base Year	2023
Historic Data	2020

The need to proficiently process bulk volumes of real-time data being generated from IoT devices and reduction in maintenance cost and downtime are the drivers for AI in IoT market. Also, Lack of skilled professionals, along with rising concerns for data security, are some of the major factors that may hinder the growth of market. North America is anticipated to hold the largest share in the market around the globe. On the other hand, developing countries from Asia Pacific (APAC) is expected to grow at the highest CAGR during the forecast period.

In Asia Pacific region, the highest growth rate can be recognized to the heavy investments made by private and public sectors for enhancing their artificial intelligence and IoT technologies, thereby, resulting in the enhanced demand for AI in IoT solutions for gaining customer insights in real time. The research covers the current and historic AI in IoT market size and its growth trend with company outline of Key players/manufacturers: Amazon Web Services, International Business Machines Corporation, Autoplant Systems India Pvt. Ltd., SAP SE, Google LLC, Microsoft Corporation, Oracle Corporation, Salesforce.com, Inc., General Electric, and Hitachi ID Systems among others.

The AI in IoT market research report provides an in-depth overview of the industry including market segmentation by component, end-user and geography. Analysis of the global market with special focus on high growth application in each vertical and fast-growing market segments. It includes detailed competitive landscape with identification of the key players with respect to each type of market, in-depth market share analysis with individual revenue, market shares, and top players rankings. Impact analysis of the market dynamics with factors currently driving and restraining the growth of the market, along with their impact in the short, medium, and long-term landscapes.

Competitive intelligence from the company profiles, key player strategies, game-changing developments such as product launches and acquisitions. The objective of this study is to identify the market opportunities and estimate market size by segments and countries for last few years and to forecast the values to the next five years. The report incorporates both the qualitative and quantitative aspects of the industry with respect to each of the regions and countries involved in the study. The report also covers qualitative analysis on the market, by incorporating complete pricing and cost analysis of components & products, Porter’s analysis and PEST (Political, Economic, Social & Technological factor) analysis of the market. The report also profiles all major companies active in this field.

Market Scope and Market Size AI in IoT market is segmented by region and further by countries, component, and end-user. Players, stakeholders, and other participants in the global AI in IoT market will be able to gain a strong position as this report will surely benefit their marketing strategies. The market analysis focuses on revenue and forecast by region/countries and by application in terms of revenue and forecast for the period 2021-2027. Report further studies the market development status and future and AI in IoT Market trend across the world. Also, it splits AI in IoT market segmentation by component, end-user and region to deep dive research and reveals market profile and prospects.

Major Classifications are as follows: By Component

• Platform
• Services
• Software

By End-user

• Banking, Financial Services, and Insurance
• IT and Telecom
• Energy and Utilities
• Healthcare
• Manufacturing
• Others

Reason to purchase this report:

• Determine prospective investment areas based on a detailed trend analysis of the global AI in IoT market over the next years.
• Gain an in-depth understanding of the underlying factors driving demand for different and AI in IoT market segments in the top spending countries across the world and identify the opportunities offered by each of them.
• Strengthen your understanding of the market in terms of demand drivers, industry trends, and the latest technological developments, among others.
• Identify the major channels that are driving the global AI in IoT market, providing a clear picture of future opportunities that can be tapped, resulting in revenue expansion.
• Channelize resources by focusing on the ongoing programs that are being undertaken by the different countries within the global AI in IoT market.
• Make correct business decisions based on a thorough analysis of the total competitive landscape of the sector with detailed profiles of the top AI in IoT market providers around the world which include information about their products, alliances, recent contract wins and financial analysis wherever available.

Table of Content:

1. EXECUTIVE SUMMARY
2. INTRODUCTION
   • Key Takeaways
   • Report Description
   • Market Scope & Definition
   • Stakeholders
   • Research Methodology
     • Market Size
     • Key Data Points From Primary Sources
     • Key Data Points From Secondary Sources
     • List Of Primary Sources
     • List Of Secondary Sources

1. MARKET OVERVIEW
   • Industry Segmentation
   • Market Trends Analysis
   • Major Funding & Investments
   • Market Dynamics
     • Drivers
     • Restraints
     • Opportunities
   • Value Chain Analysis
   • Pricing Analysis
2. IMPACT OF COVID-19 ON AI IN IOT MARKET
   • Impact of Covid-19 On AI in IoT Market By Component
   • Impact Of Covid-19 On AI in IoT Market By End User
   • Impact of Covid-19 On AI in IoT Market by Region
3. AI IN IOT MARKET, BY COMPONENT
   • Introduction
   • Platform
     • Application Management
     • Connectivity Management
     • Device Management
   • Services
     • Managed Services
     • Professional Services
   • Software
     • Data Management
     • Network Bandwidth Management
     • Real-Time Streaming Analytics
     • Remote Monitoring
     • Others
       • Security
       • Edge Solution

1. AI IN IOT MARKET, BY END-USER
   • Banking, Financial Services, and Insurance
   • IT and Telecom
   • Energy and Utilities
   • Healthcare
   • Manufacturing
   • Others
     • Transport & Mobility
     • Government
     • Retail

1. AI IN IOT MARKET, BY GEOGRAPHY
   • North America
     • U.S.
     • Canada
   • Europe
     • Germany
     • U.K.
     • France
     • Rest of Europe
   • Asia Pacific
     • China
     • Japan
     • India
     • Rest Of Asia Pacific
   • Rest of the World
     • Middle East
     • Africa

1. COMPETITIVE ANALYSIS
   • Introduction
   • Top Companies Ranking
   • Market Share Analysis
   • Recent Developments
     • New Product Launch
     • Mergers & Acquisitions
     • Collaborations, Partnerships & Agreements
     • Rewards & Recognition

1. COMPANY PROFILES
   • Amazon Web Services
   • International Business Machines Corporation
   • Autoplant Systems India Pvt. Ltd.
   • SAP SE
   • Google LLC
   • Microsoft Corporation
   • Oracle Corporation
   • com, Inc.
   • General Electric
   • Hitachi ID Systems