AIoT Market by Technology (ML, NLP, Computer Vision, Context Aware AI) and Platforms (IoT Device Management, IoT Application Enablement Platforms, IoT Connectivity Management, IoT Cloud, IoT Advanced Analytics) - Global Forecast to 2030
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.
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).
'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%
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).
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 startups 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 startups
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 startups 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: STARTUPS/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: STARTUPS/SMES, 2023
11.6.5.1 Detailed list of key startups/SMEs
11.6.5.2 Competitive benchmarking of key startups/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
12.3 SMES/STARTUPS
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
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
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 startups 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 startups
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 startups 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: STARTUPS/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: STARTUPS/SMES, 2023
11.6.5.1 Detailed list of key startups/SMEs
11.6.5.2 Competitive benchmarking of key startups/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
12.3 SMES/STARTUPS
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
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
