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
상품코드:1681522
리서치사:MarketsandMarkets
발행일:2025년 03월
페이지 정보:영문 343 Pages
라이선스 & 가격 (부가세 별도)
ㅁ Add-on 가능: 고객의 요청에 따라 일정한 범위 내에서 Customization이 가능합니다. 자세한 사항은 문의해 주시기 바랍니다.
한글목차
세계 AIoT 시장 규모는 2024년 183억 7,000만 달러, 2030년까지 791억 3,000만 달러에 달할 것으로 추정되며, 예측 기간 동안 연평균 27.6% 성장할 것으로 예상됩니다.
제조, 건강, 스마트시티 등의 산업에서 IoT 스마트 디바이스가 증가함에 따라 AI의 통합이 필요하며, AI와 머신러닝의 사용으로 실시간 데이터 분석이 쉬워지고, 보다 정교한 도구가 제공되어 보다 지능적인 의사결정을 내릴 수 있게 되었습니다. 5G의 가용성은 지연을 줄일 수 있을 뿐만 아니라, 이전보다 더 나은 연결성을 제공할 수 있습니다. 스마트 홈 기기의 새로운 개념과 클라우드 컴퓨팅 공간의 개발도 AIoT의 성장에 기여하고 있습니다.
조사 범위
조사 대상 연도
2019-2030년
기준 연도
2023년
예측 기간
2024-2030년
단위
10억 달러
부문
제공, 기술 ,배포 유형, 산업, 업종
대상 지역
북미, 유럽, 아시아태평양, 중동/아프리카, 라틴아메리카, 기타 지역
"서비스별로는 전문 서비스 부문이 예측 기간 동안 가장 큰 시장 규모를 유지할 것입니다."
제공되는 전문 서비스는 배포 및 통합, 지원 및 유지 보수, 교육 및 컨설팅 서비스로 분류됩니다. 일부 최종 사용 조직은 역량이 부족하기 때문에 필요한 수준의 안전과 보호를 달성하기 위해 다른 전문 회사를 고용하고, 특히 AloT 시스템 구축 과정과 그 이후에도 전문적인 서비스가 필요합니다. 서비스에는 계획, 설계, 컨설팅, 업그레이드 등이 있습니다. 이러한 서비스를 제공하는 조직에는 컨설턴트, IoT 전문가, AI 전문가, 미션 크리티컬 의사결정 지원 시스템, 도구, 서비스, 지식의 개발 및 구현을 담당하는 별도의 프로그램 관리 팀이 포함됩니다.
"서비스별로는 매니지드 서비스 부문이 예측 기간 동안 가장 빠른 성장률을 나타낼 것입니다."
매니지드 서비스는 기업이 시장에서의 지위를 유지하는 것을 용이하게 합니다. 많은 경우, 업무 과부하가 발생하여 최종 사용 기업이 특정 비즈니스 프로세스에 의존하고 다른 많은 기능을 지원하기 어려운 경우가 많습니다. 이러한 서비스는 AloT 생태계 내에서 소프트웨어를 유지하고 업그레이드하는 데 필요한 기술을 제공합니다. 매니지드 서비스는 도입 전과 도입 후 고객의 문의와 요구사항이 하나의 통합된 단위로 통합되는 중앙집중형 구조를 유지합니다. 최종 사용 기업은 주로 이러한 서비스 아웃소싱에 의존하여 고객이 제 시간에 생산할 수 있도록 합니다. 미래의 매니지드 서비스 신흥 사업자는 종합 시설 관리 컨설팅, 24시간 헬프데스크, 재무 및 회계 업무 등을 포함합니다. 이 부문은 주로 AloT 시장에서 매니지드 서비스 아웃소싱에 대한 수요가 증가함에 따라 가장 빠른 CAGR로 성장하고 있습니다.
"지역별로는 아시아태평양이 예측 기간 동안 가장 높은 성장률을 보일 것으로 예상됩니다."
아시아태평양의 AloT 시장은 중국, 일본, 인도 및 기타 국가로 구성되어 있습니다. 이들 국가들은 혁신적인 AloT 기술 개발에 많은 관심을 기울이고 있습니다. 아시아태평양은 예측 기간 동안 가장 높은 CAGR을 나타낼 것으로 예상되는데, 이는 첨단적이고 역동적인 새로운 기술 솔루션을 채택하고 있기 때문이며, IoT 기술의 상용화를 향한 발걸음과 기술을 완전히 활용하기 위한 추가 개발의 필요성, AloT 플랫폼 솔루션의 높은 이점을 실현할 필요성은 이 지역에서 AloT 플랫폼 솔루션의 채택을 증가시킬 것으로 예상됩니다. 아시아태평양에는 중국과 같은 경제 대국이 있으며, AloT 시장에서 큰 시장 점유율을 차지할 것으로 예상됩니다. 분석에 따르면, AloT와 소프트웨어 솔루션 및 서비스 채택이 가장 높은 수준을 보일 것으로 예상되는 산업은 모빌리티 및 운송, 에너지 및 유틸리티, 의료 및 생명과학 분야입니다.
세계의 AIoT 시장에 대해 조사 분석했으며, 주요 성장 촉진요인과 저해요인, 경쟁 구도, 향후 동향 등의 정보를 전해드립니다.
목차
제1장 서론
제2장 조사 방법
제3장 주요 요약
제4장 프리미엄 인사이트
AIoT 시장 기업의 성장 기회
AIoT 시장 : 제공별
AIoT 시장 : 기술별
AIoT 시장 : 전개 유형별
AIoT 시장 : 업계별
북미의 AIoT 시장 : 제공별, 전개 유형별
제5장 시장 개요와 산업 동향
서론
시장 역학
성장 촉진요인
성장 억제요인
기회
과제
산업 동향
AIoT 시장 간단한 역사
AIoT 시장 바이어/고객에게 영향을 미치는 혼란
가격 분석
공급망 분석
에코시스템/시장 맵
기술 분석
특허 분석
이용 사례
주요 컨퍼런스 및 이벤트(2024-2025년)
현재의 비즈니스 모델과 새로운 비즈니스 모델
AIoT 시장 베스트 프랙티스
툴, 프레임워크, 기법
AIoT 시장 향후 상황
규제 상황
Porter의 Five Forces 분석 모델
주요 이해관계자와 구입 기준
기업 평가, 투자 및 펀딩 시나리오
AI 및 생성형 AI 소개
제6장 AIoT 시장 : 제공별
서론
플랫폼
솔루션
서비스
제7장 AIoT 시장 : 기술별
서론
머신러닝
자연언어처리
컴퓨터 비전
상황인식 AI
제8장 AIoT 시장 : 전개 유형별
서론
클라우드 기반 AIoT
엣지 기반 AIoT
제9장 AIoT 시장 : 업계별
서론
소비자 일렉트로닉스
제조
은행/금융서비스/보험(BFSI)
운송 및 물류
정부 및 방위
에너지 및 유틸리티
소매
의료
기타 업계
제10장 AIoT 시장 : 지역별
서론
북미
북미의 거시경제 전망
미국
캐나다
유럽
유럽의 거시경제 전망
영국
독일
러시아
프랑스
기타 유럽
아시아태평양
아시아태평양의 거시경제 전망
중국
일본
인도
기타 아시아태평양
중동 및 아프리카
중동 및 아프리카의 거시경제 전망
GCC 국가
터키
남아프리카공화국
기타 중동 및 아프리카
라틴아메리카
라틴아메리카의 거시경제 전망
브라질
멕시코
기타 라틴아메리카
제11장 경쟁 구도
서론
주요 시장 진출기업의 전략/강점
매출 분석
시장 점유율 분석
기업 평가 매트릭스 : 주요 기업(2023년)
기업 평가 매트릭스 : 스타트업/중소기업(2023년)
경쟁 시나리오
브랜드/제품 비교
기업 평가와 재무 지표
제12장 기업 개요
주요 기업
IBM
CISCO
AWS
GOOGLE
MICROSOFT
ORACLE
HPE
INTEL
HITACHI
SAP
기타 기업
TENCENT
SHARP GLOBAL
PTC
SAS
TELIT CINTERION
ROBERT BOSCH
중소기업/스타트업
AXIOMTEK
SOFTWEB SOLUTIONS
WILIOT
RELAYR
TERMINUS GROUP
C3 IOT
CLEARBLADE
SEMIFIVE
FALKONRY
UPTAKE
BUTLR
제13장 인접 시장 및 관련 시장
인접 시장 서론
제한 사항
AI 시장
IoT 시장
제14장 부록
LSH
영문 목차
영문목차
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.
Scope of the Report
Years Considered for the Study
2019-2030
Base Year
2023
Forecast Period
2024-2030
Units Considered
USD (Billion)
Segments
By Offering, Solutions, Services, Managed Services)), By Technology, By Deployment Type, By Vertical (Consumer Electronics, Manufacturing, BFSI, Transportation & Logistics, Government & Defense, Energy & Utilities, Retail, Healthcare, Other Verticals)
Regions covered
North America, Europe, Asia Pacific, Middle East & Africa, and Latin America.
"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
