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AI in IoT Market by Component (Platforms, Software Solutions, and Services), Technology (ML and Deep Learning, and NLP), Vertical (Transportation and Mobility, Energy and Utilities, Manufacturing, and Retail), and Region - Global Forecast to 2024

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Date: 17-Apr-2019
No. of pages: 168
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The global AI in IoT market size to grow at a Compound Annual Growth Rate (CAGR) of 26.0%during the forecast period

MarketsandMarkets forecasts the global AI in IoT market size to grow from USD 5.1 billion in 2019 to USD 16.2 billion by 2024, at a CAGR of 26.0% during 2019–2024.The major growth drivers for the market include the growing need to efficiently process a vast amount of real-time streaming from IoT devices, reduce maintenance cost and downtime.

The software solutions segment to grow at the highest growth rate during the forecast period

Most of the key vendors in AI in IoT market offers software solutions for enhanced security and scalability. These software solutions are designed to meet interoperability challenges that arise due to varied heterogeneous devices and manage large volumes of data and its security and privacy. They help in mitigating interoperability issues that create flexibility and managing various business functions.

The Natural Language Processing (NLP) technology segment to grow at the highest growth rate during the forecast period

Based on technologies, the AI in IoT market has been segmented into Machine Learning (ML) and deep learning, and NLP. The NLP technology segment is expected to grow at the highest growth rate during the forecast period,due to the growing demand for analyzing huge amounts of data generated by IoT devices. Moreover, NLP enables users to integrate not only voice understanding with devices and sensors, but also localization features, leading to creative translation.

Among regions, Asia Pacific (APAC)to grow at the highest CAGR during the forecast period

In the AI in IoT market by region, APAC is expected to grow at the highest growth rate during the forecast period. The growth in the number of AI in IoT vendors in major APAC countries, such as China and Japan, and innovative technological advancements are expected to drive the growth of the market in APAC.

In-depth interviews were conducted with Chief Executive Officers (CEOs), marketing directors, innovation and technology directors, and executives from various key organizations operating in the AI in IoT market.


  • By Company: Tier I:15%, Tier II:42%, and Tier III:43%

  • By Designation:C-Level:62%, Director Level:20%, and Others:18%

  • By Region: North America: 40%,APAC: 30%,Europe: 20%, MEA: 5%, and Latin America: 5%


The report includes the study of the key players offering AI in IoT solutions.It profiles the major vendors in the global AI in IoT market. These vendors include Google (US), Microsoft (US), IBM (US), AWS (US), Oracle (US), SAP (Germany), PTC (US), GE (US), Sales force (US), Hitachi (Japan), Uptake (US), SAS (US), Autoplant Systems Pvt Ltd. (India), Kairos (US), Softweb Solutions (US), Arundo (US), C3 IoT (US), Anagog (Israel), Imagimob (Sweden), and Thingstel (India).It also includes an in-depth competitive analysis of the key players in the AI in IoT market, along with their company profiles, business overviews, product offerings, recent developments, and market strategies.

Research coverage

The report segments the global AI in IoT market by component, technology, vertical, and region.The component segment comprises platforms, software solutions, and services.It is sub segmented into device management, application management, and connectivity management. The software solutions segment has been sub segmented into real-time streaming analytics, security, data management, remote monitoring and remote configuration, network bandwidth management, and edge solutions.The services segment is sub segmented into professional and managed services. The AI in IoT market by technology is segmented into ML and deep learning, and NLP. The AI in IoT market by vertical comprises manufacturing, energy and utilities, transportation and mobility, Banking, Financial Services, and Insurance (BFSI), retail, healthcare and life sciences, government and defense, and others (agriculture, education, telecom, and tourism and hospitality). The report covers 5 major regions, namely, North America, Europe, APAC, Latin America, and Middle East and Africa (MEA).

The report would help the market leaders and new entrants in the global AI in IoT market in the following ways:


  • The report segments the market into various sub segments; hence, it covers the market comprehensively. It provides the closest approximations of the revenue numbers for the overall market and its sub segments. The market numbers are further split across applications and regions.

  • It helps in understanding the overall growth of the market. It also provides information about key market drivers, restraints, challenges, and opportunities.

  • It helps stakeholders in understanding their competitors better and gaining more insights to strengthen their positions in the market. The study also presents the positioning of the key players based on their product offerings and business strategies.

AI in IoT Market by Component (Platforms, Software Solutions, and Services), Technology (ML and Deep Learning, and NLP), Vertical (Transportation and Mobility, Energy and Utilities, Manufacturing, and Retail), and Region - Global Forecast to 2024

Table of Contents

1 Introduction
1.1 Objectives of the Study
1.2 Market Definition
1.3 Market Scope
1.3.1 Market Segmentation
1.3.2 Regions Covered
1.4 Years Considered for the Study
1.5 Currency Considered
1.6 Stakeholders

2 Research Methodology
2.1 Research Data
2.1.1 Secondary Data
2.1.2 Primary Data
2.1.2.1 Breakup of Primary Profiles
2.1.2.2 Key Industry Insights
2.2 Market Breakup and Data Triangulation
2.3 Market Size Estimation
2.3.1 Top-Down Approach
2.3.2 Bottom-Up Approach
2.4 Market Forecast
2.5 Assumptions for the Study
2.6 Limitations of the Study

3 Executive Summary

4 Premium Insights
4.1 Attractive Market Opportunities in the AI in IoT Market
4.2 Market Top 3 Verticals
4.3 Market By Region
4.4 Market in North America, By Component and Technology

5 Market Overview and Industry Trends
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Effective Management of Data Generated From IoT Devices to Gain Valuable Insights
5.2.1.2 Reduced Maintenance Cost and Downtime
5.2.2 Restraints
5.2.2.1 Lack of Skilled Workforce
5.2.3 Opportunities
5.2.3.1 Real-Time Monitoring to Deliver an Exceptional Customer Experience
5.2.4 Challenges
5.2.4.1 Data Security and Privacy Issues
5.2.4.2 Maintenance and Update Issues
5.3 Use Cases
5.3.1 Introduction
5.3.1.1 Use Case: Scenario 1
5.3.1.2 Use Case: Scenario 2
5.3.1.3 Use Case: Scenario 3
5.3.1.4 Use Case: Scenario 4
5.3.1.5 Use Case: Scenario 5
5.3.1.6 Use Case: Scenario 6
5.4 Regulatory Implications
5.4.1 Introduction
5.4.2 General Data Protection Regulation
5.4.3 Health Insurance Portability and Accountability Act
5.4.4 Federal Trade Commission
5.4.5 Federal Communications Commission
5.4.6 International Organization for Standardization/International Electrotechnical Commission Standards
5.4.6.1 ISO/ICE JTC 1
5.4.6.2 ISO/IEC JTC 1/SC 42
5.4.6.3 ISO/IEC JTC1/SC3 1
5.4.6.4 ISO/IEC JTC1/SC2 7
5.4.7 CEN/ISO
5.4.7.1 CEN/CENELEC
5.4.8 NIST
5.4.9 Eprivacy

6 AI in IoT Market, By Component
6.1 Introduction
6.2 Platforms
6.2.1 Device Management
6.2.1.1 Growing Demand for Device Management Platform to Effectively Manage, Track, and Secure IoT Devices Used in Organizations
6.2.2 Application Management
6.2.2.1 Need to Automatically Manage Applications in the Cloud to Pave the Way for Deployment of the Application Management Platform
6.2.3 Connectivity Management
6.2.3.1 Growing Demand to Manage the Entire Network of the Organization for Greater Security and Safety
6.3 Software Solutions
6.3.1 Real-Time Streaming Analytics
6.3.1.1 Growing Demand for Real-Time Streaming Analytics Software Solutions By Organizations to Effectively Detect Anomalies in Real Time
6.3.2 Security
6.3.2.1 Evolution of Various Malware and Cyber-Attacks Paving the Way for Enterprises to Adopt Security Software Solutions in the AI in IoT Market
6.3.3 Data Management
6.3.3.1 Growing Demand for AI in IoT to Effectively Manage the Huge Amount of Data Generated From IoT Devices
6.3.4 Remote Monitoring
6.3.4.1 Increasing Demand to Effectively Monitor and Manage Business Operations Paving the Way for Enterprises to Adopt Remote Monitoring Software Solutions in the Market
6.3.5 Network Bandwidth Management
6.3.5.1 Growing Demand for Network Bandwidth Management Solutions for Effective Network Monitoring and Performance of the Connected Devices
6.3.6 Edge Solution
6.3.6.1 Increasing Demand for Speech to Text Processing, and Speech Recognition Technology to Provide Growth Opportunities for Edge Solutions
6.4 Services
6.4.1 Professional Services
6.4.1.1 Deployment and Integration
6.4.1.1.1 AI in IoT Vendors to Offer Deployment and Integration Services to Effectively Overcome System-Related Issues
6.4.1.2 Support and Maintenance
6.4.1.2.1 Growing Deployment of AI in IoT Platforms to Increase the Demand for Support and Maintenance Services
6.4.1.3 Training and Consulting
6.4.1.3.1 Technologies Involved in Implementing AI in IoT Solutions to Boost the Growth of Training and Consulting Services
6.4.2 Managed Services
6.4.2.1 Growing Need to Maintain and Update AI in IoT Software to Increase the Demand for Managed Services

7 AI in IoT Market, By Technology
7.1 Introduction
7.2 Ml and Deep Learning
7.2.1 Growing Demand to Automate Communication and Create Personalized Experiences to Increase the Adoption of AI in IoT Among Enterprises
7.3 Natural Language Processing
7.3.1 Natural Language Processing to Grow at A Rapid Pace in Coming Years

8 AI in IoT Market, By Vertical
8.1 Introduction
8.2 Manufacturing
8.2.1 Predictive Maintenance
8.2.1.1 Need to Track, Diagnose, and Monitor Machines to Fuel the Growth of the Predictive Maintenance Application in the Manufacturing Vertical
8.2.2 Process Optimization
8.2.2.1 Need to Automate Production Process to Fuel the Growth of the Process Optimization Application in the Manufacturing Vertical
8.2.3 Supply Chain Management
8.2.3.1 Growing Need to Optimize Inventory for Better Customer Service to Pave the Way for Supply Chain Management Application in the Manufacturing Vertical
8.2.4 Others
8.3 Energy and Utilities
8.3.1 Smart Grid Management
8.3.1.1 Growing Demand for Effective Utility Grid to Fuel the Growth of Smart Grid Management Applications in the Energy and Utilities Vertical
8.3.2 Power Usage Analytics
8.3.2.1 Growing Demand for Personalized Customer Experience to Fuel the Growth of Power-Usage Analytics Applications in the Energy and Utilities Vertical
8.3.3 Others
8.4 Transportation and Mobility
8.4.1 Connected Vehicles
8.4.1.1 Connected Vehicles to Grow at A Rapid Pace in Coming Years
8.4.2 Fleet Management
8.4.2.1 Growing Need to Personalize Driving Experience to Fuel the Growth of the Fleet Management Application in the Market
8.4.3 Asset Tracking and Performance Management
8.4.3.1 Increasing Need to Improve Vehicles Performance and Minimize Risks to Fuel the Growth of Asset Tracking and Performance Management Applications in the Market
8.4.4 Others
8.5 Banking, Financial Services, and Insurance
8.5.1 Fraud and Risk Management
8.5.1.1 Growing Risk in Handling Huge Amount of Data to Fuel the Demand for Fraud and Risk Management Application in the Market
8.5.2 Investment Prediction
8.5.2.1 Growing Demand to Predict Future Trends and Identify Market Trends to Drive Investment Prediction Application Segment
8.5.3 Payment Transaction Security
8.5.3.1 Increasing Demand to Secure Online Transactions to Fuel the Growth of Payment Transaction Security Applications in the Market
8.5.4 Others
8.6 Government and Defense
8.6.1 Smart Cities
8.6.1.1 Smart Cities to Grow at A Rapid Pace in the Coming Years
8.6.2 Autonomous Defense System
8.6.2.1 Government and Defense Vertical to Adopt AI in IoT Solutions to Automate the Defense System
8.6.3 Others
8.7 Retail
8.7.1 Smart Stores
8.7.1.1 Increasing Need to Enhance Customer Experience to Fuel the Smart Stores Applications in the Market
8.7.2 Inventory Planning
8.7.2.1 Increasing Need to Manage Warehouse Space to Fuel the Inventory Planning Applications in the Market
8.7.3 Upsell and Cross-Channel Marketing
8.7.3.1 Increasing Demand for Recommendation at the Right Time and Place to Fuel the Growth of Upsell and Cross-Channel Marketing in the Market
8.7.4 Others
8.8 Healthcare and Life Sciences
8.8.1 Remote Patient Monitoring
8.8.1.1 Growing Demand for Monitoring Patient Health in Real Time to Fuel the Growth of Remote Patient Monitoring Applications in the Market
8.8.2 Personalized Treatment
8.8.2.1 Personalized Treatment to Grow at A Rapid Pace in Coming Years
8.8.3 Others
8.9 Others

9 AI in IoT Market, By Region
9.1 Introduction
9.2 North America
9.2.1 United States
9.2.1.1 Need to Extract Maximum Value From Smart Devices to Fuel the Demand for AI in IoT Solutions in the US
9.2.2 Canada
9.2.2.1 Increase in Investments and Research Activities to Drive AI in IoT Adoption in Canada
9.3 Europe
9.3.1 United Kingdom
9.3.1.1 Government Focus on Innovation and Research to Fuel the Adoption of AI in IoT Solutions in the UK
9.3.2 Germany
9.3.2.1 Skilled Workforce, Strong Infrastructure, and Increasing Investments to Drive the AI in IoT Adoption in Germany
9.3.3 France
9.3.3.1 Focus on R&D and Heavy Inflow of Capital From Global Players and Investors to Drive the AI in IoT Market in France
9.3.4 Rest of Europe
9.4 Asia Pacific
9.4.1 China
9.4.1.1 Increasing Focus on the Advancement of IoT Solutions By Integrating Ml and Deep Learning Technologies to Drive the Adoption of AI in IoT Solutions in China
9.4.2 Japan
9.4.2.1 Government Initiatives, Such as Society 5.0, to Create the Growth Potential for AI in IoT in Japan
9.4.3 Rest of Asia Pacific
9.5 Middle East and Africa
9.5.1 Israel
9.5.1.1 Regulatory Compliance Backed By the Presence of IoT and AI Software Vendors to Lead the Adoption of AI in IoT Solutions
9.5.2 UAE
9.5.2.1 Complex Legal, Regulatory, and Economic Resolutions to Compel Organizations to Adopt AI in IoT Solutions
9.5.3 Rest of Middle East and Africa
9.6 Latin America
9.6.1 Brazil
9.6.1.1 Brazil to Witness the Highest Growth Rate in the AI in IoT Market in Coming Few Years
9.6.2 Mexico
9.6.2.1 Mexico to Account for the Largest Market Size in the AI in IoT Market in the Region
9.6.3 Rest of Latin America

10 Competitive Landscape
10.1 Competitive Leadership Mapping
10.1.1 Visionary Leaders
10.1.2 Innovators
10.1.3 Dynamic Differentiators
10.1.4 Emerging Companies
10.2 Strength of Product Portfolio
10.3 Business Strategy Excellence

11 Company Profiles
11.1 Introduction
(Business Overview, Platforms & Solutions, Key Insights, Recent Developments, SWOT Analysis, MnM View)*
11.2 IBM
11.3 Microsoft
11.4 Google
11.5 PTC
11.6 AWS
11.7 Oracle
11.8 GE
11.9 Salesforce
11.10 SAP
11.11 Hitachi
11.12 Uptake
11.13 SAS
11.14 Autoplant Systems India Pvt. Ltd.
11.15 Kairos
11.16 Softweb Solutions
11.17 Arundo
11.18 C3 IoT
11.19 Anagog
11.20 Thingstel
11.21 Imagimob

*Details on Business Overview, Platforms & Solutions, Key Insights, Recent Developments, SWOT Analysis, MnM View Might Not Be Captured in Case of Unlisted Companies.

12 Appendix
12.1 Industry Experts
12.2 Discussion Guide
12.3 Knowledge Store: Marketsandmarkets’ Subscription Portal
12.4 Available Customizations
12.5 Related Reports
12.6 Author Details

List of Tables

Table 1 United States Dollar Exchange Rate, 2016–2018
Table 2 Factor Analysis
Table 3 Global AI in IoT Market Size and Growth Rate, 2017–2024 (USD Million, Y-O-Y %)
Table 4 Market Size By Component, 2017–2024 (USD Million)
Table 5 Market Size By Technology, 2017–2024 (USD Million)
Table 6 Market Size By Vertical, 2017–2024 (USD Million)
Table 7 Manufacturing Market Size, By Application, 2017–2024 (USD Million)
Table 8 Energy and Utilities Market Size, By Application, 2017–2024 (USD Million)
Table 9 Transportation and Mobility Vertical Market Size, By Application, 2017–2024 (USD Million)
Table 10 Banking, Financial Services, and Insurance Market Size, By Application, 2017–2024 (USD Million)
Table 11 Government and Defense Vertical Market Size, By Application, 2017–2024 (USD Million)
Table 12 Retail Market Size, By Application, 2017–2024 (USD Million)
Table 13 Healthcare and Life Sciences Market Size, By Application, 2017–2024 (USD Million)
Table 14 AI in IoT Market Size, By Region, 2017–2024 (USD Million)
Table 15 North America: Data Traffic (Peta Bytes Per Month) Through Connected Devices
Table 16 North America: Market Size By Component, 2017–2024 (USD Million)
Table 17 North America: Market Size By Technology, 2017–2024 (USD Million)
Table 18 North America: Market Size By Vertical, 2017–2024 (USD Million)
Table 19 North America: Manufacturing Market Size, By Application, 2017–2024 (USD Million)
Table 20 North America: Energy and Utilities Market Size, By Application, 2017–2024 (USD Million)
Table 21 North America: Transportation and Mobility Market Size, By Application, 2017–2024 (USD Million)
Table 22 North America: Government and Defense Market Size, By Application, 2017–2024 (USD Million)
Table 23 North America: Healthcare and Life Sciences Market Size, By Application, 2017–2024 (USD Million)
Table 24 North America: Banking, Financial Services, and Insurance Market Size, By Application, 2017–2024 (USD Million)
Table 25 North America: AI in IoT Market Size, By Retail, 2017–2024 (USD Million)
Table 26 North America: Market Size By Country, 2017–2024 (USD Million)
Table 27 Europe: Data Traffic (Peta Bytes Per Month) Through Connected Devices
Table 28 Europe: Market Size By Component, 2017–2024 (USD Million)
Table 29 Europe: Market Size By Technology, 2017–2024 (USD Million)
Table 30 Europe: Market Size By Vertical, 2017–2024 (USD Million)
Table 31 Europe: Manufacturing Market Size, By Application, 2017–2024 (USD Million)
Table 32 Europe: Energy and Utilities Market Size, By Application, 2017–2024 (USD Million)
Table 33 Europe: Transportation and Mobility Market Size, By Application, 2017–2024 (USD Million)
Table 34 Europe: Government and Defense Market Size, By Application, 2017–2024 (USD Million)
Table 35 Europe: Healthcare and Life Sciences Market Size, By Application, 2017–2024 (USD Million)
Table 36 Europe: Banking, Financial Services, and Insurance Market Size, By Application, 2017–2024 (USD Million)
Table 37 Europe: Retail Market Size, By Application, 2017–2024 (USD Million)
Table 38 Europe: AI in IoT Market Size, By Country, 2017–2024 (USD Million)
Table 39 APAC: Data Traffic (Peta Bytes Per Month) Through Connected Devices
Table 40 Asia Pacific: Market Size By Component, 2017–2024 (USD Million)
Table 41 Asia Pacific: Market Size By Technology, 2017–2024 (USD Million)
Table 42 Asia Pacific: Market Size By Vertical, 2017–2024 (USD Million)
Table 43 Asia Pacific: Manufacturing Market Size, By Application, 2017–2024 (USD Million)
Table 44 Asia Pacific: Energy and Utilities Market Size, By Application, 2017–2024 (USD Million)
Table 45 Asia Pacific: Transportation and Mobility Market Size, By Application, 2017–2024 (USD Million)
Table 46 Asia Pacific: Government and Defense Market Size, By Application, 2017–2024 (USD Million)
Table 47 Asia Pacific: Healthcare and Life Sciences Market Size, By Application, 2017–2024 (USD Million)
Table 48 Asia Pacific: Banking, Financial Services, and Insurance Market Size, By Application, 2017–2024 (USD Million)
Table 49 Asia Pacific: Retail Market Size, By Application, 2017–2024 (USD Million)
Table 50 Asia Pacific: AI in IoT Market Size, By Country, 2017–2024 (USD Million)
Table 51 Middle East and Africa: Data Traffic (Peta Bytes Per Month) Through Connected Devices
Table 52 Middle East and Africa: Market Size By Component, 2017–2024 (USD Million)
Table 53 Middle East and Africa: Market Size By Technology, 2017–2024 (USD Million)
Table 54 Middle East and Africa: Market Size By Vertical, 2017–2024 (USD Million)
Table 55 Middle East and Africa: Manufacturing Market Size, By Application, 2017–2024 (USD Million)
Table 56 Middle East and Africa: Energy and Utilities Market Size, By Application, 2017–2024 (USD Million)
Table 57 Middle East and Africa: Transportation and Mobility Market Size, By Application, 2017–2024 (USD Million)
Table 58 Middle East and Africa: Government and Defense Market Size, By Application, 2017–2024 (USD Million)
Table 59 Middle East and Africa: Healthcare and Life Sciences Market Size, By Application, 2017–2024 (USD Million)
Table 60 Middle East and Africa: Banking, Financial Services, and Insurance Market Size, By Application, 2017–2024 (USD Million)
Table 61 Middle East and Africa: Retail Market Size, By Application, 2017–2024 (USD Million)
Table 62 Middle East and Africa: AI in IoT Market Size, By Country, 2017–2024 (USD Million)
Table 63 Latin America: Market Size By Component, 2017–2024 (USD Million)
Table 64 Latin America: Market Size By Technology, 2017–2024 (USD Million)
Table 65 Latin America: Market Size By Vertical, 2017–2024 (USD Million)
Table 66 Latin America: Manufacturing Market Size, By Application, 2017–2024 (USD Million)
Table 67 Latin America: Energy and Utilities Market Size, By Application, 2017–2024 (USD Million)
Table 68 Latin America: Transportation and Mobility Market Size, By Application, 2017–2024 (USD Million)
Table 69 Latin America: Government and Defense Market Size, By Application, 2017–2024 (USD Million)
Table 70 Latin America: Healthcare and Life Sciences Market Size, By Application, 2017–2024 (USD Million)
Table 71 Latin America: Banking, Financial Services, and Insurance Market Size, By Application, 2017–2024 (USD Million)
Table 72 Latin America: Retail Market Size, By Application, 2017–2024 (USD Million)
Table 73 Latin America: AI in IoT Market Size, By Country, 2017–2024 (USD Million)
Table 74 Key Players of the Conversational AI Market, 2018

List of Figures

Figure 1 Global AI in IoT Market: Research Design
Figure 2 Market: Top-Down and Bottom-Up Approaches
Figure 3 Market Snapshot By Component
Figure 4 Market Snapshot By Technology
Figure 5 Market Snapshot Manufacturing Vertical
Figure 6 AI in IoT Market Snapshot, Transportation and Mobility Vertical
Figure 7 Market Snapshot Energy and Utilities Vertical
Figure 8 Market Snapshot Government and Defense Vertical
Figure 9 Market Snapshot BFSI Vertical
Figure 10 Market Snapshot Retail Vertical
Figure 11 Market Snapshot By Vertical
Figure 12 Market Snapshot By Region
Figure 13 to Efficiently Process the Vast Amount of Real-Time Data That Stream From IoT Devices is One of the Major Factors Driving the Overall Growth of the AI in IoT Market During the Forecast Period
Figure 14 Transportation and Mobility Vertical to Grow at the Highest CAGR During Forecast Period
Figure 15 North America to Hold Highest Market Share in 2019
Figure 16 Platforms, and Machine Learning and Deep Learning Segments in North America Accounted for the Largest Shares in the AI in IoT Market in 2019
Figure 17 Drivers, Restraints, Opportunities, and Challenges: AI in IoT Market
Figure 18 Software Solutions Segment to Witness the Highest CAGR During the Forecast Period
Figure 19 Natural Language Processing Segment to Witness A Higher CAGR During the Forecast Period
Figure 20 Transportation and Mobility Vertical to Witness the Highest CAGR During the Forecast Period
Figure 21 Process Optimization Segment in the Manufacturing Vertical to Record the Highest CAGR During the Forecast Period
Figure 22 Smart Grid Management Segment to Grow at the Highest CAGR During the Forecast Period
Figure 23 Asset Tracking and Performance Management Segment to Grow at the Highest CAGR During the Forecast Period
Figure 24 Payment Transaction Security Segment to Account for the Highest CAGR During the Forecast Period
Figure 25 Autonomous Defense System Segment to Account for the Highest CAGR During the Forecast Period
Figure 26 Smart Stores Segment to Account for the Highest CAGR During the Forecast Period
Figure 27 Personalized Treatment Segment to Grow at the Highest CAGR During the Forecast Period
Figure 28 North America to Hold the Largest Market Size During the Forecast Period
Figure 29 Japan to Hold the Highest CAGR During the Forecast Period
Figure 30 Asia Pacific to Hold the Highest CAGR During the Forecast Period
Figure 31 North America: Market Snapshot
Figure 32 Transportation and Mobility Vertical to Grow at the Highest CAGR During the Forecast Period
Figure 33 Transportation and Mobility Vertical to Grow at the Highest CAGR During the Forecast Period
Figure 34 Asia Pacific: Market Snapshot
Figure 35 Transportation and Mobility Vertical to Grow at the Highest CAGR in APAC During the Forecast Period
Figure 36 Transportation and Mobility Vertical to Grow at the Highest CAGR During Forecast Period
Figure 37 Transportation and Mobility Vertical to Grow at Highest CAGR During Forecast Period
Figure 38 Global Conversational AI Market (Global) Competitive Leadership Mapping, 2018
Figure 39 IBM: Company Snapshot
Figure 40 SWOT Analysis: IBM
Figure 41 Microsoft: Company Snapshot
Figure 42 SWOT Analysis: Microsoft
Figure 43 Google: Company Snapshot
Figure 44 SWOT Analysis: Google
Figure 45 PTC: Company Snapshot
Figure 46 SWOT Analysis: PTC
Figure 47 AWS: Company Snapshot
Figure 48 SWOT Analysis: AWS
Figure 49 Oracle: Company Snapshot
Figure 50 SWOT Analysis: Oracle
Figure 51 GE: Company Snapshot
Figure 52 Salesforce: Company Snapshot
Figure 53 SAP: Company Snapshot
Figure 54 Hitachi: Company Snapshot

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  • Global Drone Data Services Industry Research Report, In-depth Analysis of Current Status and Outlook of Key Countries 2023-2028
    Published: 04-Jan-2024        Price: US 3380 Onwards        Pages: 99
    Market Overview of Global Drone Data Services market: According to our latest research, the global Drone Data Services market looks promising in the next 5 years. As of 2022, the global Drone Data Services market was estimated at USD 1371.56 million, and it's anticipated to reach USD 20095.26 million in 2028, with a CAGR of 56.43% during the forecast years. This report covers a research time span from 2018 to 2028, and presents a deep and comprehensive analysis of the global ......
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