세계의 AIoT 시장 : 기술별, 플랫폼별 - 예측(-2030년)

The AIoT market is estimated at USD 18.37 billion in 2024 to USD 79.13 billion by 2030 at a Compound Annual Growth Rate (CAGR) of 27.6% during the forecast period. The increasing number of IoT smart devices in industries such as manufacturing, health, and smart cities requires the integration of AI to sort, analyze, and improve results adequately. The use of artificial intelligence and machine learning facilitates the analysis of real-time data and makes intelligent decisions due to the availability of more sophisticated analysis tools. The availability of 5G makes connectivity better than before, in addition to the probability of cutting the latency period. The novel concept of smart home devices also helps in the growth of AIoT, along with the developments in cloud computing spaces.

"By services, professional services segment to hold the largest market size during the forecast period."

The professional services offered have been categorized into deployment and integration, support and maintenance, and training and consulting services. Several end-use organizations lack the capacity, and therefore, they hire other specialized firms to achieve the needed level of safety and/or protection. The implementation of AloT systems demands professional services, especially during and after the process. Some of the services are; planning, designing, consulting and upgrades. Organizations delivering these services include consultants, IoT specialists, AI specialists, and separate program management teams committed to developing and implementing mission-critical decision support systems, tools, services, and knowledge.

"By services, the managed services segment to register the fastest growth rate during the forecast period."

Managed services facilitate the companies to retain their position in the market. There is often task overload and it is hard for end-use organizations to rely on specific business processes and support many other functions and that in turn amplifies the importance of managed services. These services provide the kind of technical skills needed to sustain and upgrade software within AloT ecosystem. The managed service retains a centralized structure where each and every pre- and post-deployment customers' queries and needs fall under a unified unit. The end-use organizations chiefly resort to outsourcing such services to help customers produce on time. Some of the emerging operators of future managed services include integrated facility management consultancy round the clock help desk finance and accounts. This segment is growing at fastest CAGR mainly due to the rising demand for outsourced managed services in the AloT market.

"By region, Asia Pacific is expected to have the highest growth rate during the forecast period."

The Asia Pacific AloT market comprises of China, Japan, India, and the remaining countries. These nations have devoted much attention to developing innovative AloT technology. The same can be attributed to the fact that Asia Pacific is expected to have the highest Compound Annual Growth Rate over the forecast period because of the region's adoption of new technology solutions that is progressive and dynamic. The steps toward the commercialization of IoT technology and the need for more developments to fully utilize the technology as well as the need to realize the higher benefits of AloT platform solutions are expected to increase the adoption of AloT platform solutions in the region. Asia Pacific has large economy such as China that is expected to have a larger market share in the AloT market. According to the analysis, the industries with the potential of the highest levels of AloT and software solution and service adoption are mobility and transportation, energy and utilities, and healthcare and life sciences.

In-depth interviews have been conducted with chief executive officers (CEOs), Directors, and other executives from various key organizations operating in the AIoT market.

• By Company Type: Tier 1 - 70%, Tier 2 - 20%, and Tier 3 - 10%
• By Designation: C-level Executives - 73%, Managers - 18%, and Others - 9%
• By Region: North America - 30%, Europe - 25%, Asia Pacific - 35%, RoW - 10%

The major players in the AIoT market include IBM (US), Cisco (US), AWS (US), Google (US), Microsoft (US), Oracle (US), HPE (US), Intel (US), Hitachi (Japan), SAP (Germany). These players have adopted various growth strategies, such as partnerships, agreements and collaborations, new product launches, enhancements, and acquisitions to expand their AIoT market footprint.

Research Coverage

The market study covers the AIoT market size across different segments. It aims at estimating the market size and the growth potential across various segments, including By Offering (Platforms (IoT Device Management, IoT Application Enablement Platforms, IoT Connectivity Management, IoT Cloud, IoT Advanced Analytics), Solutions (Data Management, Remote Monitoring, Security Solutions, Network Management, Other Solutions), Services (Professional Services (Deployment & Integration, Support & Maintenance, Training & Consulting), Managed Services)), By Technology (Machine Learning, Natural Language Processing, Computer Vision, Context Aware Artificial Intelligence), By Deployment Type (Cloud-Based AIoT, Edge-Based AIoT), By Vertical (Consumer Electronics, Manufacturing, BFSI, Transportation & Logistics, Government & Defense, Energy & Utilities, Retail, Healthcare, Other Verticals) and Region (North America, Europe, Asia Pacific, Middle East & Africa, and Latin America). The study includes an in-depth competitive analysis of the leading market players, their company profiles, key observations related to product and business offerings, recent developments, and market strategies.

Key Benefits of Buying the Report

The report will help the market leaders/new entrants with information on the closest approximations of the global AIoT market's revenue numbers and subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and plan suitable go-to-market strategies. Moreover, the report will provide insights for stakeholders to understand the market's pulse and provide them with information on key market drivers, restraints, challenges, and opportunities.

The report provides insights on the following pointers:

Analysis of key drivers (exponential growth of data from IoT devices, demand for automation and enhanced operational efficiency, rising need to provide improved customer experiences and personalization), restraints (high costs of implementation, limited interoperability and fragmented standards), opportunities (rising investments in the Internet of Things (IoT), growing need for advanced security solutions), and challenges (lack of skills and awareness related to AIoT technologies, data privacy and security concerns.

1. Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the AIoT market.

2. Market Development: The report provides comprehensive information about lucrative markets and analyses the AIoT market across various regions.

3. Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the AIoT market.

4. Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading include include IBM (US), Cisco (US), AWS (US), Google (US), Microsoft (US), Oracle (US), HPE (US), Intel (US), Hitachi (Japan), SAP (Germany), Tencent Cloud (China), Sharp Global (Japan), SAS (US), PTC (US), Telit Cinterion (UK), Axiomtek (Taiwan), Softweb Solutions (US), Wiliot (Israel), Relayr (US), Terminus Group (China), C3 IoT (US), Clearblade (US), Semifive (South Korea), Falkonry (US), and Uptake (US).

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 STUDY OBJECTIVES
• 1.2 MARKET DEFINITION
  • 1.2.1 INCLUSIONS AND EXCLUSIONS
• 1.3 MARKET SCOPE
  • 1.3.1 MARKET SEGMENTATION
  • 1.3.2 YEARS CONSIDERED
• 1.4 CURRENCY CONSIDERED
• 1.5 STAKEHOLDERS
• 1.6 SUMMARY OF CHANGES

2 RESEARCH METHODOLOGY

• 2.1 RESEARCH DATA
  • 2.1.1 SECONDARY DATA
    • 2.1.1.1 Key data from secondary sources
  • 2.1.2 PRIMARY DATA
    • 2.1.2.1 List of key primary interview participants
    • 2.1.2.2 Breakup of primary profiles
    • 2.1.2.3 Key data from primary sources
    • 2.1.2.4 Key insights from industry experts
• 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 RESEARCH ASSUMPTIONS
• 2.6 RESEARCH LIMITATIONS

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

• 4.1 GROWTH OPPORTUNITIES FOR PLAYERS IN AIOT MARKET
• 4.2 AIOT MARKET, BY OFFERING
• 4.3 AIOT MARKET, BY TECHNOLOGY
• 4.4 AIOT MARKET, BY DEPLOYMENT TYPE
• 4.5 AIOT MARKET, BY VERTICAL
• 4.6 NORTH AMERICA: AIOT MARKET, BY OFFERING AND DEPLOYMENT TYPE

5 MARKET OVERVIEW AND INDUSTRY TRENDS

• 5.1 INTRODUCTION
• 5.2 MARKET DYNAMICS
  • 5.2.1 DRIVERS
    • 5.2.1.1 Exponential growth of data from IoT devices
    • 5.2.1.2 Demand for automation and enhanced operational efficiency
    • 5.2.1.3 Rising need to provide improved user experiences and personalization
  • 5.2.2 RESTRAINTS
    • 5.2.2.1 High costs of implementation
    • 5.2.2.2 Limited interoperability and fragmented standards
  • 5.2.3 OPPORTUNITIES
    • 5.2.3.1 Increasing investments in Internet of Things (IoT)
    • 5.2.3.2 Growing need for advanced security solutions
  • 5.2.4 CHALLENGES
    • 5.2.4.1 Lack of skills and awareness related to AIoT technologies
    • 5.2.4.2 Data privacy and security concerns
• 5.3 INDUSTRY TRENDS
  • 5.3.1 BRIEF HISTORY OF AIOT MARKET
    • 5.3.1.1 2000-2010
    • 5.3.1.2 2010-2020
    • 5.3.1.3 2020-Present
  • 5.3.2 DISRUPTIONS IMPACTING BUYERS/CUSTOMERS IN AIOT MARKET
  • 5.3.3 PRICING ANALYSIS
    • 5.3.3.1 Average selling price trend among key players, by offering
    • 5.3.3.2 Indicative pricing analysis of AIoT
  • 5.3.4 SUPPLY CHAIN ANALYSIS
  • 5.3.5 ECOSYSTEM/MARKET MAP
  • 5.3.6 TECHNOLOGY ANALYSIS
    • 5.3.6.1 Key technologies
      • 5.3.6.1.1 Machine Learning (ML)
      • 5.3.6.1.2 Natural Language Processing (NLP)
      • 5.3.6.1.3 Computer vision
    • 5.3.6.2 Adjacent technologies
      • 5.3.6.2.1 Edge computing
      • 5.3.6.2.2 Cloud computing
    • 5.3.6.3 Complementary technologies
      • 5.3.6.3.1 5G
      • 5.3.6.3.2 Blockchain
      • 5.3.6.3.3 Digital twin
  • 5.3.7 PATENT ANALYSIS
    • 5.3.7.1 Methodology
  • 5.3.8 USE CASES
    • 5.3.8.1 Case study 1: SUEZ improved its production quality control with AI and IoT solutions
    • 5.3.8.2 Case study 2: US-based global manufacturer of professional factory grade systems used Orion's AIoT solutions to track system anomalies
    • 5.3.8.3 Case study 3: Alibaba Cloud's ET City Brain solution helped city administrators in Hangzhou analyze traffic data
  • 5.3.9 KEY CONFERENCES & EVENTS, 2024-2025
  • 5.3.10 CURRENT AND EMERGING BUSINESS MODELS
  • 5.3.11 BEST PRACTICES OF AIOT MARKET
  • 5.3.12 TOOLS, FRAMEWORKS, AND TECHNIQUES
  • 5.3.13 FUTURE LANDSCAPE OF AIOT MARKET
    • 5.3.13.1 AIoT technology roadmap till 2030
    • 5.3.13.2 Short-term roadmap (2024-2025)
    • 5.3.13.3 Mid-term roadmap (2026-2028)
    • 5.3.13.4 Long-term roadmap (2029-2030)
  • 5.3.14 REGULATORY LANDSCAPE
    • 5.3.14.1 Regulatory bodies, government agencies, and other organizations
    • 5.3.14.2 General Data Protection Regulation
    • 5.3.14.3 Health Insurance Portability and Accountability Act
    • 5.3.14.4 Federal Trade Commission
    • 5.3.14.5 Federal Communications Commission
    • 5.3.14.6 International Organization for Standardization/International Electrotechnical Commission Standards
      • 5.3.14.6.1 ISO/ICE JTC 1
      • 5.3.14.6.2 ISO/IEC JTC 1/SC 42
      • 5.3.14.6.3 ISO/IEC JTC1/SC3 1
      • 5.3.14.6.4 ISO/IEC JTC1/SC2 7
    • 5.3.14.7 European Committee for Standardization
    • 5.3.14.8 CEN/CENELEC
    • 5.3.14.9 National Institute of Standards and Technology
    • 5.3.14.10 North America
      • 5.3.14.10.1 US
      • 5.3.14.10.2 Canada
    • 5.3.14.11 Europe
    • 5.3.14.12 Asia Pacific
      • 5.3.14.12.1 China
      • 5.3.14.12.2 Japan
      • 5.3.14.12.3 India
    • 5.3.14.13 Middle East & Africa
      • 5.3.14.13.1 GCC Countries
      • 5.3.14.13.2 South Africa
    • 5.3.14.14 Latin America
      • 5.3.14.14.1 Brazil
  • 5.3.15 PORTER'S FIVE FORCES MODEL
    • 5.3.15.1 Threat of new entrants
    • 5.3.15.2 Threat of substitutes
    • 5.3.15.3 Bargaining power of suppliers
    • 5.3.15.4 Bargaining power of buyers
    • 5.3.15.5 Intensity of competitive rivalry
  • 5.3.16 KEY STAKEHOLDERS AND BUYING CRITERIA
    • 5.3.16.1 Key stakeholders in buying process
    • 5.3.16.2 Buying criteria
  • 5.3.17 COMPANY VALUATION, INVESTMENT, AND FUNDING SCENARIO
  • 5.3.18 INTRODUCTION TO ARTIFICIAL INTELLIGENCE AND GENERATIVE AI
    • 5.3.18.1 Impact of generative AI on AIoT
    • 5.3.18.2 Use cases of generative AI in AIoT
    • 5.3.18.3 Future of generative AI in AIoT

6 AIOT MARKET, BY OFFERING

• 6.1 INTRODUCTION
  • 6.1.1 OFFERING: AIOT MARKET DRIVERS
• 6.2 PLATFORMS
  • 6.2.1 NEED FOR SCALABILITY AND FLEXIBILITY IN MANAGING LARGE IOT ECOSYSTEMS DRIVES MARKET
  • 6.2.2 IOT DEVICE MANAGEMENT
  • 6.2.3 IOT APPLICATION ENABLEMENT PLATFORMS
  • 6.2.4 IOT CONNECTIVITY MANAGEMENT
  • 6.2.5 IOT CLOUD
  • 6.2.6 IOT ADVANCED ANALYTICS
• 6.3 SOLUTIONS
  • 6.3.1 DEMAND FOR REAL-TIME DATA ANALYTICS TO ENABLE PREDICTIVE INSIGHTS DRIVES MARKET
  • 6.3.2 DATA MANAGEMENT
  • 6.3.3 REMOTE MONITORING
  • 6.3.4 SECURITY SOLUTIONS
  • 6.3.5 NETWORK MANAGEMENT
  • 6.3.6 OTHER SOLUTIONS
• 6.4 SERVICES
  • 6.4.1 NECESSITY FOR SEAMLESS INTEGRATION AND CUSTOMIZATION OF AIOT SOLUTIONS DRIVES MARKET
  • 6.4.2 PROFESSIONAL SERVICES
    • 6.4.2.1 Deployment & integration
    • 6.4.2.2 Support & maintenance
    • 6.4.2.3 Training & consulting
  • 6.4.3 MANAGED SERVICES

7 AIOT MARKET, BY TECHNOLOGY

• 7.1 INTRODUCTION
  • 7.1.1 TECHNOLOGY: AIOT MARKET DRIVERS
• 7.2 MACHINE LEARNING
  • 7.2.1 MACHINE LEARNING ALGORITHMS ENABLE SYSTEMS TO LEARN FROM DATA, ENHANCING ACCURACY AND EFFICIENCY
• 7.3 NATURAL LANGUAGE PROCESSING
  • 7.3.1 ENABLES DEVICES TO UNDERSTAND CONTEXT, PERFORM TASKS, AND PROVIDE REAL-TIME FEEDBACK
• 7.4 COMPUTER VISION
  • 7.4.1 ENABLES MACHINES TO INTERPRET AND UNDERSTAND VISUAL DATA
• 7.5 CONTEXT AWARE ARTIFICIAL INTELLIGENCE
  • 7.5.1 ENHANCES DECISION-MAKING PROCESSES AND IMPROVES ABILITY TO INTERACT

8 AIOT MARKET, BY DEPLOYMENT TYPE

• 8.1 INTRODUCTION
  • 8.1.1 DEPLOYMENT TYPE: AIOT MARKET DRIVERS
• 8.2 CLOUD-BASED AIOT
  • 8.2.1 INTEGRATES DATA COLLECTION AND PROCESSING FROM IOT DEVICES
• 8.3 EDGE-BASED AIOT
  • 8.3.1 ENABLES DATA PROCESSING CLOSER TO IOT DEVICES OR AT EDGE

9 AIOT MARKET, BY VERTICAL

• 9.1 INTRODUCTION
  • 9.1.1 VERTICAL: AIOT MARKET DRIVERS
• 9.2 CONSUMER ELECTRONICS
  • 9.2.1 ABILITY TO MEASURE AND CONTROL ENERGY USAGE TO BOOST DEMAND
• 9.3 MANUFACTURING
  • 9.3.1 ADOPTION OF INDUSTRY 4.0 & 5.0 PRINCIPLES TO DRIVE MARKET
• 9.4 BFSI
  • 9.4.1 INCREASING DEPLOYMENT OF AIOT WITH RISING COMPETITION IN FINTECH SECTOR TO DRIVE MARKET
• 9.5 TRANSPORTATION & LOGISTICS
  • 9.5.1 INCREASED ADOPTION OF CONNECTED VEHICLE AND FLEET MANAGEMENT REQUIREMENTS TO DRIVE MARKET
• 9.6 GOVERNMENT & DEFENSE
  • 9.6.1 FOCUS ON DIGITALIZATION AND VARIOUS GOVERNMENT INITIATIVES TO DRIVE GROWTH
• 9.7 ENERGY & UTILITIES
  • 9.7.1 REAL-TIME MONITORING OF ENERGY CONSUMPTION AND EFFICIENCY TO DRIVE MARKET
• 9.8 RETAIL
  • 9.8.1 GROWING POPULARITY OF DIGITAL SIGNAGE AND INTELLIGENT VENDING MACHINES TO FUEL MARKET GROWTH
• 9.9 HEALTHCARE
  • 9.9.1 ABILITY TO ENABLE REAL-TIME PATIENT MONITORING AND DATA-DRIVEN DIAGNOSTICS TO DRIVE MARKET
• 9.10 OTHER VERTICALS

10 AIOT MARKET, BY REGION

• 10.1 INTRODUCTION
• 10.2 NORTH AMERICA
  • 10.2.1 MACROECONOMIC OUTLOOK FOR NORTH AMERICA
  • 10.2.2 US
    • 10.2.2.1 Rising inclination toward innovation and state-of-the-art infrastructure to drive demand
  • 10.2.3 CANADA
    • 10.2.3.1 Active funding in research and development by government to drive adoption of AIoT
• 10.3 EUROPE
  • 10.3.1 MACROECONOMIC OUTLOOK FOR EUROPE
  • 10.3.2 UK
    • 10.3.2.1 Increasing adoption of AI-powered solutions in healthcare sector
  • 10.3.3 GERMANY
    • 10.3.3.1 Increased use of AIoT solutions for optimizing industrial systems
  • 10.3.4 RUSSIA
    • 10.3.4.1 Growth in initiatives to drive innovations in AIoT
    • 10.3.4.2 Market drivers and opportunities
      • 10.3.4.2.1 Drivers
        • 10.3.4.2.1.1 Increasing adoption of advanced technologies
        • 10.3.4.2.1.2 Growing government initiatives and policies
      • 10.3.4.2.2 Opportunities
        • 10.3.4.2.2.1 Increased government focus and collaborations with companies accelerating AIoT development
        • 10.3.4.2.2.2 Significant investments in AI map
    • 10.3.4.3 Company profiles
      • 10.3.4.3.1 SberMobile
      • 10.3.4.3.2 AtomPark Software
      • 10.3.4.3.3 e-legion
      • 10.3.4.3.4 Aim Digital
      • 10.3.4.3.5 Digital Design
    • 10.3.4.4 Strategic recommendations
    • 10.3.4.5 Vertical trends
    • 10.3.4.6 Macroeconomic outlook for 2022-2024
    • 10.3.4.7 Legal and state requirements
  • 10.3.5 FRANCE
    • 10.3.5.1 Rise in investments by global players to boost country's technological sector
  • 10.3.6 REST OF EUROPE
• 10.4 ASIA PACIFIC
  • 10.4.1 MACROECONOMIC OUTLOOK FOR ASIA PACIFIC
  • 10.4.2 CHINA
    • 10.4.2.1 Active involvement of global players in promoting AIoT use
  • 10.4.3 JAPAN
    • 10.4.3.1 Enterprises to realize opportunities in sensor-to-edge and edge-to-core AIoT
  • 10.4.4 INDIA
    • 10.4.4.1 Extensive deployment of AIoT solutions in farming sector
    • 10.4.4.2 Market segmentation data
    • 10.4.4.3 Market drivers and opportunities
      • 10.4.4.3.1 Drivers
        • 10.4.4.3.1.1 Growing talent expansion and sustained investment in AIoT
        • 10.4.4.3.1.2 Proactive government approach toward promoting AIoT adoption
        • 10.4.4.3.1.3 Increasing adoption of IoT devices
      • 10.4.4.3.2 Opportunities
        • 10.4.4.3.2.1 Increasing initiatives for smart cities in India
        • 10.4.4.3.2.2 Rising government initiatives and investments in research and development
    • 10.4.4.4 Company profiles
      • 10.4.4.4.1 Autoplant Systems India Pvt. Ltd.
      • 10.4.4.4.2 Wipro
      • 10.4.4.4.3 TCS
      • 10.4.4.4.4 Tech Mahindra
      • 10.4.4.4.5 HCL Technologies
    • 10.4.4.5 Strategic recommendations
    • 10.4.4.6 Vertical trends
    • 10.4.4.7 Macroeconomic outlook for 2022-2024
    • 10.4.4.8 Influence of state on AIOT industry
    • 10.4.4.9 Legal and state requirements
  • 10.4.5 REST OF ASIA PACIFIC
• 10.5 MIDDLE EAST & AFRICA
  • 10.5.1 MACROECONOMIC OUTLOOK FOR MIDDLE EAST & AFRICA
  • 10.5.2 GCC COUNTRIES
    • 10.5.2.1 UAE
      • 10.5.2.1.1 Growing digital transformations to boost market
    • 10.5.2.2 KSA
      • 10.5.2.2.1 Increasing investments in data center infrastructures and growth in number of START-UPs to drive market
    • 10.5.2.3 Rest of GCC Countries
  • 10.5.3 TURKEY
    • 10.5.3.1 Rapid adoption of AIoT solutions to drive market expansion
    • 10.5.3.2 Market drivers and opportunities
      • 10.5.3.2.1 Drivers
        • 10.5.3.2.1.1 Increased government investments and initiatives aimed at developing AIoT
        • 10.5.3.2.1.2 Continuous advancements in technology
      • 10.5.3.2.2 Opportunities
        • 10.5.3.2.2.1 Rise in need for development of smart cities
        • 10.5.3.2.2.2 Increase in investments in AIoT technologies and strategic initiatives to support AIoT START-UPs
    • 10.5.3.3 Company profiles
      • 10.5.3.3.1 VOLSOFT
      • 10.5.3.3.2 Teknopar
      • 10.5.3.3.3 Ardic
      • 10.5.3.3.4 IOT Teknoloji
      • 10.5.3.3.5 ForFarming
    • 10.5.3.4 Strategic recommendations
    • 10.5.3.5 Vertical trends
    • 10.5.3.6 Macroeconomic outlook for 2022-2024
    • 10.5.3.7 Influence of state on AIoT industry
    • 10.5.3.8 Legal and state requirements
  • 10.5.4 SOUTH AFRICA
    • 10.5.4.1 Rising collaboration between START-UPs and key players to promote use of AIoT solutions
  • 10.5.5 REST OF MIDDLE EAST & AFRICA
• 10.6 LATIN AMERICA
  • 10.6.1 MACROECONOMIC OUTLOOK FOR LATIN AMERICA
    • 10.6.1.1 Market drivers and opportunities
      • 10.6.1.1.1 Drivers
        • 10.6.1.1.1.1 Technological advancements in agriculture to drive market
        • 10.6.1.1.1.2 Increased government projects and public-private partnerships to drive market
      • 10.6.1.1.2 Opportunities
        • 10.6.1.1.2.1 Smart city initiatives to create opportunity for AIoT market
        • 10.6.1.1.2.2 Increased demand for smart energy solutions
    • 10.6.1.2 Company profiles
      • 10.6.1.2.1 Jump Corporation
      • 10.6.1.2.2 SmartDots
      • 10.6.1.2.3 Softrack
      • 10.6.1.2.4 IOT Technologies
    • 10.6.1.3 Strategic recommendations
    • 10.6.1.4 Vertical trends
    • 10.6.1.5 Macroeconomic outlook for 2022-2024
    • 10.6.1.6 Influence of state on AIoT industry
    • 10.6.1.7 Legal and state requirements
  • 10.6.2 BRAZIL
    • 10.6.2.1 Government initiatives to support growth of AIoT
  • 10.6.3 MEXICO
    • 10.6.3.1 Rising need for enhanced connectivity in business processes
    • 10.6.3.2 Market drivers and opportunities
      • 10.6.3.2.1 Drivers
        • 10.6.3.2.1.1 Increased demand for smart solutions
        • 10.6.3.2.1.2 Government initiatives and investments
      • 10.6.3.2.2 Opportunities
        • 10.6.3.2.2.1 Increased focus on development of smart cities
        • 10.6.3.2.2.2 Innovation and sustainability in agriculture
    • 10.6.3.3 Company profiles
      • 10.6.3.3.1 Softtek
      • 10.6.3.3.2 KIO Networks
      • 10.6.3.3.3 Xertica.AI
      • 10.6.3.3.4 NDS Cognitive Labs
    • 10.6.3.4 Strategic recommendations
    • 10.6.3.5 Vertical trends
    • 10.6.3.6 Macroeconomic outlook for 2022-2024
    • 10.6.3.7 Influence of state on AIoT industry
    • 10.6.3.8 Legal and state requirements
  • 10.6.4 REST OF LATIN AMERICA

11 COMPETITIVE LANDSCAPE

• 11.1 INTRODUCTION
• 11.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
• 11.3 REVENUE ANALYSIS
• 11.4 MARKET SHARE ANALYSIS
  • 11.4.1 MARKET RANKING ANALYSIS
• 11.5 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
  • 11.5.1 STARS
  • 11.5.2 EMERGING LEADERS
  • 11.5.3 PERVASIVE PLAYERS
  • 11.5.4 PARTICIPANTS
  • 11.5.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024
    • 11.5.5.1 Company footprint
    • 11.5.5.2 Offering footprint
    • 11.5.5.3 Deployment type footprint
    • 11.5.5.4 Region footprint
• 11.6 COMPANY EVALUATION MATRIX: START-UPS/SMES, 2023
  • 11.6.1 PROGRESSIVE COMPANIES
  • 11.6.2 RESPONSIVE COMPANIES
  • 11.6.3 DYNAMIC COMPANIES
  • 11.6.4 STARTING BLOCKS
  • 11.6.5 COMPETITIVE BENCHMARKING: START-UPS/SMES, 2023
    • 11.6.5.1 Detailed list of key START-UPs/SMEs
    • 11.6.5.2 Competitive benchmarking of key START-UPs/SMEs
• 11.7 COMPETITIVE SCENARIO
  • 11.7.1 PRODUCT LAUNCHES
  • 11.7.2 DEALS
• 11.8 BRAND/PRODUCT COMPARISON
• 11.9 COMPANY VALUATION AND FINANCIAL METRICS

12 COMPANY PROFILES

• 12.1 KEY PLAYERS
  • 12.1.1 IBM
    • 12.1.1.1 Business overview
    • 12.1.1.2 Products/Solutions/Services offered
    • 12.1.1.3 Recent developments
    • 12.1.1.4 MnM view
      • 12.1.1.4.1 Key strengths
      • 12.1.1.4.2 Strategic choices
      • 12.1.1.4.3 Weaknesses and competitive threats
  • 12.1.2 CISCO
    • 12.1.2.1 Business overview
    • 12.1.2.2 Products/Solutions/Services offered
    • 12.1.2.3 Recent developments
    • 12.1.2.4 MnM view
      • 12.1.2.4.1 Right to win
      • 12.1.2.4.2 Strategic choices
      • 12.1.2.4.3 Weaknesses and competitive threats
  • 12.1.3 AWS
    • 12.1.3.1 Business overview
    • 12.1.3.2 Products/Solutions/Services offered
    • 12.1.3.3 Recent developments
    • 12.1.3.4 MnM view
      • 12.1.3.4.1 Key strengths
      • 12.1.3.4.2 Strategic choices
      • 12.1.3.4.3 Weaknesses and competitive threats
  • 12.1.4 GOOGLE
    • 12.1.4.1 Business overview
    • 12.1.4.2 Products/Solutions/Services offered
    • 12.1.4.3 Recent developments
    • 12.1.4.4 MnM view
      • 12.1.4.4.1 Key strengths
      • 12.1.4.4.2 Strategic choices
      • 12.1.4.4.3 Weaknesses and competitive threats
  • 12.1.5 MICROSOFT
    • 12.1.5.1 Business overview
    • 12.1.5.2 Products/Solutions/Services offered
    • 12.1.5.3 Recent developments
    • 12.1.5.4 MnM view
      • 12.1.5.4.1 Key strengths
      • 12.1.5.4.2 Strategic choices
      • 12.1.5.4.3 Weaknesses and competitive threats
  • 12.1.6 ORACLE
    • 12.1.6.1 Business overview
    • 12.1.6.2 Products/Solutions/Services offered
    • 12.1.6.3 Recent developments
  • 12.1.7 HPE
    • 12.1.7.1 Business overview
    • 12.1.7.2 Products/Solutions/Services offered
    • 12.1.7.3 Recent developments
  • 12.1.8 INTEL
    • 12.1.8.1 Business overview
    • 12.1.8.2 Products/Solutions/Services offered
    • 12.1.8.3 Recent developments
  • 12.1.9 HITACHI
    • 12.1.9.1 Business overview
    • 12.1.9.2 Products/Solutions/Services offered
    • 12.1.9.3 Recent developments
  • 12.1.10 SAP
    • 12.1.10.1 Business overview
    • 12.1.10.2 Products/Solutions/Services offered
• 12.2 OTHER PLAYERS
  • 12.2.1 TENCENT
  • 12.2.2 SHARP GLOBAL
  • 12.2.3 PTC
  • 12.2.4 SAS
  • 12.2.5 TELIT CINTERION
  • 12.2.6 ROBERT BOSCH
• 12.3 SMES/START-UPS
  • 12.3.1 AXIOMTEK
  • 12.3.2 SOFTWEB SOLUTIONS
  • 12.3.3 WILIOT
  • 12.3.4 RELAYR
  • 12.3.5 TERMINUS GROUP
  • 12.3.6 C3 IOT
  • 12.3.7 CLEARBLADE
  • 12.3.8 SEMIFIVE
  • 12.3.9 FALKONRY
  • 12.3.10 UPTAKE
  • 12.3.11 BUTLR

13 ADJACENT/RELATED MARKETS

• 13.1 INTRODUCTION TO ADJACENT MARKETS
• 13.2 LIMITATIONS
• 13.3 ARTIFICIAL INTELLIGENCE (AI) MARKET
  • 13.3.1 MARKET DEFINITION
• 13.4 IOT MARKET
  • 13.4.1 MARKET DEFINITION

14 APPENDIX

• 14.1 DISCUSSION GUIDE
• 14.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
• 14.3 CUSTOMIZATION OPTIONS
• 14.4 RELATED REPORTS
• 14.5 AUTHOR DETAILS