TABLE OF CONTENTS

Chapter 1 Introduction

• 1.1 Executive Summary
• 1.2 Market Definition
• 1.3 Market Scope

Chapter 2 Research Methodology

• 2.1 Primary Research
• 2.2 Research Methodology
• 2.3 Assumptions & Exclusions
• 2.4 Secondary Data Sources

Chapter 3 Market Overview

• 3.1 Report Segmentation & Scope
• 3.2 Key Market Trends
  • 3.2.1 Drivers
  • 3.2.2 Restraints
  • 3.2.3 Opportunities
• 3.3 Porter’s Five Forces Analysis
• 3.4 Market Share Analysis

Chapter 4 Global AI in IoT Market by Component: Market Size and Forecast, 2018 – 2026

• 4.1 Introduction
  • 4.1.1 Market Size and Forecast
• 4.2 Platforms
  • 4.2.1 Market Size and Forecast
  • 4.2.2 Device Management
    • 4.2.2.1 Market Size and Forecast
  • 4.2.3 Technology Management
    • 4.2.3.1 Market Size and Forecast
  • 4.2.4 Connectivity Management
    • 4.2.4.1 Market Size and Forecast
• 4.3 Software Solutions
  • 4.3.1 Market Size and Forecast
  • 4.3.2 Real-Time Streaming Analytics
    • 4.3.2.1 Market Size and Forecast
  • 4.3.3 Security
    • 4.3.3.1 Market Size and Forecast
  • 4.3.4 Data Management
    • 4.3.4.1 Market Size and Forecast
  • 4.3.5 Remote Monitoring
    • 4.3.5.1 Market Size and Forecast
  • 4.3.6 Network Bandwidth Management
    • 4.3.6.1 Market Size and Forecast
  • 4.3.7 Edge Solution
    • 4.3.7.1 Market Size and Forecast
• 4.4 Services
  • 4.4.1 Market Size and Forecast
  • 4.4.2 Professional Services
    • 4.4.2.1 Market Size and Forecast
    • 4.4.2.2 Deployment and Integration
    • 4.4.2.2.1 Market Size and Forecast
    • 4.4.2.3 Support and Maintenance
    • 4.4.2.3.1 Market Size and Forecast
    • 4.4.2.4 Training and Consulting
    • 4.4.2.4.1 Market Size and Forecast
    • 4.4.2.5 Managed Services
    • 4.4.2.5.1 Market Size and Forecast

    Chapter 5 Global AI in IoT Market by Technology: Market Size and Forecast, 2018 – 2026

    • 5.1 Introduction
      • 5.1.1 Market Size and Forecast
    • 5.2 MI and Deep Learning
      • 5.2.1 Market Size and Forecast
    • 5.3 Natural Language Processing
      • 5.3.1 Market Size and Forecast

    Chapter 6 Global AI in IoT Market by Industry Vertical: Market Size and Forecast, 2018 – 2026

    • 6.1 Introduction
      • 6.1.1 Market Size and Forecast
    • 6.2 Manufacturing
      • 6.2.1 Market Size and Forecast
      • 6.2.2 Predictive Maintenance
        • 6.2.2.1 Market Size and Forecast
      • 6.2.3 Supply Chain Management
        • 6.2.3.1 Market Size and Forecast
      • 6.2.4 Process Optimization
        • 6.2.4.1 Market Size and Forecast
      • 6.2.5 Others
        • 6.2.5.1 Market Size and Forecast
    • 6.3 Energy and Utilities
      • 6.3.1 Market Size and Forecast
      • 6.3.2 Smart Grid Management
        • 6.3.2.1 Market Size and Forecast
      • 6.3.3 Power Usage Analytics
        • 6.3.3.1 Market Size and Forecast
      • 6.3.4 Others
        • 6.3.4.1 Market Size and Forecast
    • 6.4 Transportation and Mobility
      • 6.4.1 Market Size and Forecast
      • 6.4.2 Connected Vehicles
        • 6.4.2.1 Market Size and Forecast
      • 6.4.3 Fleet Management
        • 6.4.3.1 Market Size and Forecast
      • 6.4.4 Asset Tracking and Performance Management
        • 6.4.4.1 Market Size and Forecast
    • 6.5 BFSI
      • 6.5.1 Market Size and Forecast
      • 6.5.2 Fraud and Risk Management
        • 6.5.2.1 Market Size and Forecast
      • 6.5.3 Investment Prediction
        • 6.5.3.1 Market Size and Forecast
      • 6.5.4 Payment Transaction Security
        • 6.5.4.1 Market Size and Forecast
      • 6.5.5 Others
        • 6.5.5.1 Market Size and Forecast
    • 6.6 Government and Defense
      • 6.6.1 Market Size and Forecast
      • 6.6.2 Smart Cities
        • 6.6.2.1 Market Size and Forecast
      • 6.6.3 Autonomous Defense System
        • 6.6.3.1 Market Size and Forecast
      • 6.6.4 Others
        • 6.6.4.1 Market Size and Forecast
    • 6.7 Retail
      • 6.7.1 Market Size and Forecast
      • 6.7.2 Smart Stores
        • 6.7.2.1 Market Size and Forecast
      • 6.7.3 Inventory Planning
        • 6.7.3.1 Market Size and Forecast
      • 6.7.4 Upsell and Cross-Channel Marketing
        • 6.7.4.1 Market Size and Forecast
      • 6.7.5 Others
        • 6.7.5.1 Market Size and Forecast
    • 6.8 Healthcare and Life Sciences
      • 6.8.1 Market Size and Forecast
      • 6.8.2 Remote Patient Monitoring
        • 6.8.2.1 Market Size and Forecast
      • 6.8.3 Personalized Treatment
        • 6.8.3.1 Market Size and Forecast
      • 6.8.4 Others
        • 6.8.4.1 Market Size and Forecast
    • 6.9 Others
      • 6.9.1 Market Size and Forecast

    Chapter 7 Global AI in IoT Market by Geography: Market Size and Forecast, 2018 – 2026

    • 7.1 Introduction
      • 7.1.1 Market Size and Forecast
    • 7.2 North America
      • 7.2.1 North America Market Size & Forecast, By Country
      • 7.2.2 North America Market Size & Forecast, By Component
      • 7.2.3 North America Market Size & Forecast, By Technology
      • 7.2.4 North America Market Size & Forecast, By Industry Vertical
      • 7.2.5 The U.S.
        • 7.2.5.1 Market Size and Forecast
      • 7.2.6 Canada
        • 7.2.6.1 Market Size and Forecast
      • 7.2.7 Mexico
        • 7.2.7.1 Market Size and Forecast
    • 7.3 Europe
      • 7.3.1 Europe Market Size and Forecast, By Country
      • 7.3.2 Europe Market Size and Forecast, By Component
      • 7.3.3 Europe Market Size and Forecast, By Technology
      • 7.3.4 Europe Market Size and Forecast, By Industry Vertical
      • 7.3.5 UK
        • 7.3.5.1 Market Size and Forecast
      • 7.3.6 Germany
        • 7.3.6.1 Market Size and Forecast
      • 7.3.7 France
        • 7.3.7.1 Market Size and Forecast
      • 7.3.8 Italy
        • 7.3.8.1 Market Size and Forecast
      • 7.3.9 Spain
        • 7.3.9.1 Market Size and Forecast
      • 7.3.10 Rest of Europe
        • 7.3.10.1 Market Size and Forecast
    • 7.4 Asia-Pacific
      • 7.4.1 Asia-Pacific Market Size and Forecast, By Country
      • 7.4.2 Asia-Pacific Market Size and Forecast, By Component
      • 7.4.3 Asia-Pacific Market Size and Forecast, By Technology
      • 7.4.4 Asia-Pacific Market Size and Forecast, By Industry Vertical
      • 7.4.5 India
        • 7.4.5.1 Market Size and Forecast
      • 7.4.6 China
        • 7.4.6.1 Market Size and Forecast
      • 7.4.7 Australia
        • 7.4.7.1 Market Size and Forecast
      • 7.4.8 Japan
        • 7.4.8.1 Market Size and Forecast
      • 7.4.9 South Korea
        • 7.4.9.1 Market Size and Forecast
      • 7.4.10 Rest of Asia-Pacific
        • 7.4.10.1 Market Size and Forecast
    • 7.5 South America
      • 7.5.1 South America Market Size and Forecast, By Country
      • 7.5.2 South America Market Size and Forecast, By Component
      • 7.5.3 South America Market Size & Forecast, By Technology
      • 7.5.4 South America Market Size and Forecast, By Industry Vertical
      • 7.5.5 Brazil
        • 7.5.5.1 Market Size and Forecast
      • 7.5.6 Rest of South America
        • 7.5.6.1 Market Size and Forecast
    • 7.6 RoW
      • 7.6.1 RoW Market Size and Forecast, By Country
      • 7.6.2 RoW Market Size and Forecast, By Component
      • 7.6.3 RoW Market Size and Forecast, By Technology
      • 7.6.4 RoW Market Size and Forecast, By Industry Vertical
      • 7.6.5 Middle East
        • 7.6.5.1 Market Size and Forecast
      • 7.6.6 Africa
        • 7.6.6.1 Market Size and Forecast

      Chapter 8 Company Profiles

      • 8.1 AWS
      • 8.2 Autoplant Systems Pvt Ltd.
      • 8.3 Arundo
      • 8.4 Anagog
      • 8.5 C3 IoT
      • 8.6 GE
      • 8.7 Google Inc.
      • 8.8 HPE
      • 8.9 IBM
      • 8.10 Microsoft Corporation
      • 8.11 Oracle
      • 8.12 PTC
      • 8.13 SAP
      • 8.14 Salesforce

The research report offers a comprehensive picture of the Ai In Iot market. The report initiates with the executive summary of the market that includes market definition, recent industry trends, and developments, strategies of the key players and wide product offerings. Moreover, the study explains the future opportunities and a sketch of the key participants actively operating in the market.

About Ai In Iot Market

The Global AI in IoT market is expected to reach $21.1 billion by 2026 growing at a CAGR of 27.1% during the forecast period. IoT is about connecting machines and making use of the data generated from those machines. However, AI is about simulating intelligent behavior in machines of all kinds. Effective management of data generated from IoT devices to gain valuable insights, and reduced maintenance cost and downtime are some of the factors driving the growth of the global AI in IoT market. However, lack of skilled workforce may act as some of the key hindrances for the market growth. Moreover, real-time monitoring to deliver an exceptional customer experience is likely to gain significant impetus for the AI in IoT market share in the coming years.

The research report is prepared based on the combination of qualitative as well as quantitative aspects. By thorough understanding, the report is fragmented by larger ratios. The report covers in-depth analysis with major factors such as drivers, restraints, opportunities, and challenges that influences the growth of the market. On the other hand, The Ai In Iot report presents data starting from the base year 2018, historical year: 2014-2018, estimated the year 2019 and Forecast year from 2019 to 2026.

The Ai In Iot market report offers the market size and estimates the forecast from 2019-2026. The forecast estimation is predicted based on the key regions that include North America, Europe, Asia Pacific, Middle East, South America, and the Middle East & Africa. Furthermore, the Ai In Iot report provides a deep emphasis on secondary tools used to document the report. PEST analysis, SWOT, Porter’s Five Forces, and others are considered by the analysts while preparing the report.

Scope and Segmentation of the Market

Based on Type

By Component

Platforms
Device Management
Application Management
Connectivity Management

Based on Application

Application 1
Application 2

Each segment of the Ai In Iot market is extensively evaluated in the research study. The segment analysis covered in the report aims at the key opportunities available in the Ai In Iot market report by leading segments. In addition, the research report offers market dynamics for the market that influences qualitative as well as quantitative research.

Research Methodology

The report follows a comprehensive and rigorous research methodology to provide you accurate estimates and forecasts of a particular market. The report provide estimates, forecast, and analysis primarily based on secondary research, primary interviews, in-house database and other free as well as paid sources. In addition, the research methodology we follow is a systematic approach in order to estimate and project the market sizing keeping in mind all the ongoing and upcoming trends of the market.

Competitive Landscape

Key players profiled in this report include (Sales Revenue, Price, Gross Margin, Main Products, etc.):

AWS
Autoplant Systems Pvt Ltd.
Arundo
Anagog
C3 IoT
GE
Google Inc.
HPE
IBM
Microsoft Corporation
Oracle
PTC
SAP
Salesforce
Uptake

Through the successive chapters on the company, profiles provide deep insights on players operating in the Ai In Iot market. It focuses on the financial outlook of the key players, the status of R&D, strategies adopted, expansion strategies, and many more. Analysts preparing the report have offered a detailed list of the strategic initiatives adopted by the Ai In Iot market participants by referring past records and designing strategies to be adopted in the coming years. This enables the key players to stay ahead in the competition.

Regional Landscape

The chapter on regional segmentation details the regional aspects of the Ai In Iot market. This chapter explains the regulatory framework that is likely to impact the overall market. It highlights the political scenario in the market and anticipates its influence on the Ai In Iot market. Moreover, the report focuses on value and volume at the regional level, company level, and level.

Chapters covered under this report include:

Chapter 1, describes the Ai In Iot market reports - market overview, executive summary, and market scope. Further, the report adds a support base to identify the information and pick in relation to the aforementioned market

Chapter 2, defines the research methodology based on primary as well as secondary research, secondary data sources, and assumptions & exclusions

Chapter 3, description of Ai In Iot market in terms of its product scope, opportunities, drivers, restraints, and market risks

Chapter 4, the report offers a company profile of the top manufacturers of Ai In Iot market with its sales, revenue, share, and others

Chapter 5 and 6, to narrow down the sales data at the country level with shares, revenue, sand sales from 2018-2026

Chapter 7, the Ai In Iot market data is published based on a regional level and to show the revenue, sales, and growth on basis of the base year 2018, historical year: 2014-2018, estimated the year 2019 and Forecast year from 2019 to 2026

Chapter 8, describes the Ai In Iot market sales channels, distributors, research findings, appendix, and among others.