세계의 생성형 AI의 영향에 따른 IoT 미들웨어 시장 : 플랫폼별, 산업별 - 예측(-2029년)
loT Middleware Market with Impact of Gen AI, by Platform (Device Management, Application Management, Connectivity Management, Data Management, and Security Management), Vertical (Government & Defense, Manufacturing, BFSI) - Global Forecast to 2029
상품코드:1543647
리서치사:MarketsandMarkets
발행일:2024년 08월
페이지 정보:영문 222 Pages
라이선스 & 가격 (부가세 별도)
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한글목차
세계 IoT 미들웨어 시장 규모는 2024년 185억 달러에서 예측 기간 동안 17.6%의 CAGR(연평균 성장률)을 기록하며 2029년에는 417억 달러 규모에 이를 것으로 전망됩니다.
IoT 미들웨어 시장은 데이터 처리 기능을 갖춘 메인 서버에 연결된 로봇이나 모터와 같은 산업용 엣지 컴퓨팅에 의해 주도되고 있습니다. 이러한 엣지 디바이스는 가동 상태와 사이클 타임을 중계하여 중앙 서버에 피드백을 제공할 수 있다는 장점이 있으며, 5G 네트워크의 등장으로 속도와 대역폭의 제한이 줄어들고 연결성과 데이터 전송이 강화되면서 이러한 패턴이 더욱 가속화될 것으로 예상됩니다. 더욱 빨라질 것으로 예상됩니다.
조사 범위
조사 대상 연도
2019-2029년
기준 연도
2023년
예측 기간
2024-2029년
단위
달러
부문
플랫폼 유형별, 업종별, 지역별
대상 지역
북미, 유럽, 아시아태평양, 중동 및 아프리카, 라틴아메리카
"예측 기간 동안 제조업이 IoT 미들웨어 시장에서 가장 큰 시장 점유율을 차지할 것으로 전망"
제조업은 점차 인더스트리 4.0을 받아들이고 있으며, 커넥티드 스마트 기기와 자동화가 함께 작동하고 있습니다. 이 새로운 산업 혁명에서 로봇은 인터넷으로 제어되고 기계 학습과 AI에 능숙한 컴퓨터와 연동되도록 구축되어 있습니다. 그 결과, 로봇은 스스로 학습하고 명령을 스마트하게 수행할 수 있습니다. 인더스트리 4.0에는 공장 운영을 관찰하고 스스로 판단하는 사이버 물리 시스템이 포함되어 있습니다. 이러한 시스템도 IoT 환경의 일부이며, 실시간으로 인간과 협력하여 작동합니다. 산업, 특히 공장 자동화와 4차 산업혁명을 구현하는 데 있어 IoT의 중요성은 매우 중요합니다.
"아시아태평양이 예측 기간 동안 가장 높은 성장률을 기록할 것"
아시아태평양은 예측 기간 동안 가장 높은 성장세를 보일 것으로 예상됩니다. 이 지역은 이미 전 세계 인구의 40% 이상이 거주하고 있으며, 대부분의 지역 경제가 비교적 빠른 성장 단계에 있고 도시화가 진행되고 있습니다. 이 지역은 특히 신기술에 대한 선구적인 활용으로 높은 평가를 받고 있으며, 향후 가장 높은 CAGR을 기록할 것으로 예상됩니다. 아시아태평양의 조직들이 IT 지원을 강화하려는 적극적인 시도는 정교한 기술을 도입하는 데 있어 고무적인 환경을 조성하고 있습니다.
세계의 IoT 미들웨어 시장을 조사했으며, 시장 개요, 생성형 AI가 시장에 미치는 영향, 기타 시장 영향요인 분석, 기술·특허 동향, 비즈니스 모델, 베스트 프랙티스, 시장 규모 추정 및 예측, 각 부문별·지역별·주요 국가별 분석, 경쟁 구도, 주요 기업 개요 등의 정보를 정리하여 전해드립니다.
목차
제1장 소개
제2장 조사 방법
제3장 주요 요약
제4장 주요 인사이트
제5장 시장 개요와 업계 동향
시장 역학
성장 촉진요인
성장 억제요인
기회
과제
IoT 미들웨어의 진화
생태계 분석
사례 연구 분석
밸류체인 분석
규제 상황
특허 분석
기술 분석
가격 분석
Porter's Five Forces 분석
고객 비즈니스에 영향을 미치는 동향/디스럽션
주요 이해관계자와 구입 기준
현재 비즈니스 모델과 새로운 비즈니스 모델
주요 회의와 이벤트
IoT 미들웨어 시장 기술 로드맵
IoT 미들웨어 시장의 베스트 프랙티스
IoT 미들웨어 솔루션에서 사용되는 툴, 프레임워크, 기술
투자와 자금 조달 시나리오
생성형 AI가 IoT 미들웨어 시장에 미치는 영향
제6장 IoT 미들웨어 시장 : 플랫폼 유형별
디바이스 관리
애플리케이션 관리
데이터 관리
접속 관리
보안 관리
제7장 IoT 미들웨어 시장 : 산업별
제조
정부·방위
수송·물류
에너지·유틸리티
헬스케어
소매
은행·금융 서비스·보험
기타
제8장 IoT 미들웨어 시장 : 지역별
북미
유럽
아시아태평양
중동 및 아프리카
라틴아메리카
제9장 경쟁 상황
주요 기업의 전략/유력 기업
매출 분석
시장 점유율 분석
기업 평가 매트릭스 : 주요 기업
기업 평가 매트릭스 : 스타트업/중소기업
경쟁 시나리오와 동향
브랜드/제품 비교
기업 가치 평가와 재무 지표
제10장 기업 개요
주요 기업
MICROSOFT
IBM
CISCO
AMAZON WEB SERVICES
PTC
SAP
HITACHI
ORACLE
GOOGLE
BOSCH
HPE
SIEMENS
GE
SCHNEIDER ELECTRIC
SOFTWARE AG
AERIS COMMUNICATIONS
SALESFORCE
ATOS
스타트업/SME
CLEARBLADE
DAVRA NETWORKS
AXIROS
EUROTECH
LITMUS AUTOMATION
AYLA NETWORKS
SUMATOSOFT
QIO TECHNOLOGIES
EXOSITE
PARTICLE INDUSTRIES, INC.
제11장 인접/관련 시장
제12장 부록
ksm
영문 목차
영문목차
The IoT middleware market is estimated to be USD 18.5 billion in 2024 to USD 41.7 billion in 2029 at a CAGR of 17.6% from 2024 to 2029. The loT middleware market is driven by industrial edge computing, such as robots, motors, and other machines connected to main servers containing their data processing capabilities. The benefits of these edge devices include providing feedback to the central server by relaying operating conditions and cycle times. The pace of this pattern is believed to go higher with the emergence of 5G networks since applying fewer limitations on the speed and bandwidth will enhance connectivity and data transfer. This work indicates the promise of the convergence of the 5G and industrial edge computing to play a central part in the Industrial Internet of Things (lloT), which is expected to enhance efficiency and operations' flexibility.
Scope of the Report
Years Considered for the Study
2019-2029
Base Year
2023
Forecast Period
2024-2029
Units Considered
USD (Billion)
Segments
By Platform Type, Vertical, and Region
Regions covered
North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
"During the forecast period, the manufacturing verticle contributed the largest market share in the IoT middleware market."
Manufacturing organizations have gradually embraced Industry 4. 0, where connected smart devices and automation work hand in hand. In this new industrial revolution, robotics was built to be controlled over the internet and linked to computers proficient in machine learning and artificial intelligence, which, in turn, allowed robots to self-teach and work smartly on restricted commands. Industry 4. 0 involves cyber-physical systems that observe factories' operations and decide independently. These physical systems are also a part of the IoT environment and work in conjunction with humans in real time. The significance of IoT in the automation of industries, especially factories, and implementing the fourth industrial revolution is vital. This helps businesses and allows them to make better process and operation decisions.
"Asia Pacific will register the highest growth rate during the forecast period."
The Asia Pacific region is expected to grow fastest in the IoT middleware market during the forecast period. This region already holds more than 40% of the world's population, most of the area's economies are at a relatively fast growth stage, and urbanization is property high. The region is particularly acclaimed for its visionary utilization of new technologies and is expected to exhibit the highest compound annual growth rate in the future. The proactive attempts made by Asia-Pacific organizations to enhance IT support are producing encouraging circumstances for deploying sophisticated technologies. The GSM Association is hopeful that 2025, the region will account for 1/3 of total IoT connections or 11 billion connections. Big players are already taking advantage of it. Litmus Automation, which expanded into Japan recently, is a perfect example; the need for advanced IoT solutions in industrial processes is growing.
Breakdown of primaries
The study contains insights from various industry experts, from solution vendors to Tier 1 companies. The break-up of the primaries is as follows:
By Company Type: Tier 1 - 62%, Tier 2 - 23%, and Tier 3 - 15%
By Designation: C-level -38%, D-level - 30%, and Managers - 22%
By Region: North America - 38%, Europe - 15%, Asia Pacific - 35%, Middle East & Africa- 7%, and Latin America- 5%.
The major players in the IoT middleware market are Microsoft(US), IBM (US), PTC (US), Cisco (US), AWS (US), SAP (Germany), Google (US), Hitachi (Japan), Oracle (US), HPE (US), Bosch (Germany), Siemens (Germany), GE (US), Schneider Electric (US), Software AG (Germany), Aeris Communication (US), Salesforce (US), Atos (France), ClearBlade(US), Davra Networks (US), Axiros (Germany), Eurotech (Italy), Litmus Automation (US), Ayla Networks (US), SumatoSoft (US), QiO Technologies (UK), Particle Industries (US) and Exosite (US). These players have adopted various growth strategies, such as partnerships, agreements and collaborations, new product launches, enhancements, and acquisitions to expand their IoT middleware footprint.
Research Coverage
The market study covers the IoT middleware market size across different segments. It aims to estimate the market size and the growth potential across various segments, including platform type, vertical, and regions. 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 market leaders and new entrants with information on the closest approximations of the global IoT middleware market's revenue numbers and subsegments. It will also 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 (blockchain enhances IoT middleware to streamline operations and reducing administrative overhead, growing need for centralized monitoring, emergence of 5G & edge computing, and increasing adoption of cloud), restraints (complex integration process of legacy systems, absence of uniform IoT standards and lack of interoperability, and concerns over data security and privacy), opportunities (increasing shift toward outcome and pull economies, and rising adoption of IoT in SMEs) and challenges (lack of skilled workforce, and implementation and security challenges) influencing the growth of the IoT middleware market.
Product Development/Innovation: Detailed insights on upcoming technologies, research and development activities, and new product and service launches in the IoT middleware market. Market Development: Comprehensive information about lucrative markets - the report analyses various regions' IoT middleware markets. Market Diversification: Exhaustive information about new products and services, untapped geographies, recent developments, and investments in the IoT middleware market. Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players like Microsoft(US), IBM (US), PTC (US), Cisco (US), AWS (US), SAP (Germany), Google (US), Hitachi (Japan), Oracle (US), HPE (US), Bosch (Germany), Siemens (Germany), GE (US), Schneider Electric (US), Software AG (Germany), Aeris Communication (US), Salesforce (US), Atos (France), ClearBlade(US), Davra Networks (US), Axiros (Germany), Eurotech (Italy), Litmus Automation (US), Ayla Networks (US), SumatoSoft (US), QiO Technologies (UK), Particle Industries (US) and Exosite (US).
TABLE OF CONTENTS
1 INTRODUCTION
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.3 STUDY SCOPE
1.3.1 MARKET SEGMENTATION
1.3.2 INCLUSIONS & EXCLUSIONS
1.3.3 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 Breakup of primary interviews
2.1.2.2 Key primary interview participants
2.1.2.3 Key insights from industry experts
2.2 MARKET BREAKUP AND DATA TRIANGULATION
2.3 MARKET SIZE ESTIMATION METHODOLOGY
2.3.1 TOP-DOWN APPROACH
2.3.1.1 Supply-side analysis
2.3.2 BOTTOM-UP APPROACH
2.4 RESEARCH ASSUMPTIONS
2.5 RESEARCH LIMITATIONS
2.6 RISK ASSESSMENT
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN IOT MIDDLEWARE MARKET
4.2 NORTH AMERICA: IOT MIDDLEWARE MARKET, BY PLATFORM TYPE AND COUNTRY
4.3 ASIA PACIFIC: IOT MIDDLEWARE MARKET, BY PLATFORM TYPE AND COUNTRY
5 MARKET OVERVIEW AND INDUSTRY TRENDS
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Increasing focus on blockchain-enabled IoT
5.2.1.2 Emergence of 5G & edge computing
5.2.1.3 Growing need for centralized monitoring
5.2.1.4 Increasing adoption of cloud
5.2.2 RESTRAINTS
5.2.2.1 Integration complexity with legacy systems
5.2.2.2 Absence of uniform IoT standards and lack of interoperability
5.2.2.3 Concerns over data security and privacy
5.2.3 OPPORTUNITIES
5.2.3.1 Increasing shift toward outcome and pull economies
5.2.3.2 Rising adoption of IoT in SMEs
5.2.4 CHALLENGES
5.2.4.1 Lack of skilled workforce
5.2.4.2 Implementation and security challenges
5.3 EVOLUTION OF IOT MIDDLEWARE
5.4 ECOSYSTEM ANALYSIS
5.5 CASE STUDY ANALYSIS
5.5.1 CASE STUDY 1: LUFTHANSA TECHNIK USES ENTERPRISE PLM TO SUSTAIN AVIATION EXCELLENCE
5.5.2 CASE STUDY 2: NESTLE SCALES TO 2.8 MILLION CONNECTED DEVICES WITH AWS IOT
5.5.3 CASE STUDY 3: ENSURING SUSTAINABLE WATER UTILITY SERVICES IN JAPAN WITH HITACHI'S ADVANCED SOLUTIONS
5.5.4 CASE STUDY 4: ORACLE CLOUD HELPS TITAN INTERNATIONAL TRANSFORM INTO SMART CONNECTED MANUFACTURER
5.6 VALUE CHAIN ANALYSIS
5.7 REGULATORY LANDSCAPE
5.7.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.7.1.1 International Telecommunication Union (ITU)
5.7.1.2 Internet of Things Consortium (IoTC)
5.7.1.3 North America
5.7.1.4 Europe
5.7.1.5 Asia Pacific
5.7.1.6 Middle East & Africa
5.7.1.7 Latin America
5.8 PATENT ANALYSIS
5.8.1 METHODOLOGY
5.8.2 LIST OF MAJOR PATENTS
5.9 TECHNOLOGY ANALYSIS
5.9.1 KEY TECHNOLOGIES
5.9.1.1 5G
5.9.1.2 Wi-Fi
5.9.1.3 Communication protocols
5.9.2 COMPLEMENTARY TECHNOLOGIES
5.9.2.1 Edge computing
5.9.2.2 Artificial intelligence (AI) and machine learning (ML)
5.9.2.3 Blockchain
5.9.3 ADJACENT TECHNOLOGIES
5.9.3.1 Augmented reality (AR) and virtual reality (VR)
5.9.3.2 Big data analytics
5.9.3.3 Cybersecurity solutions
5.10 PRICING ANALYSIS
5.10.1 AVERAGE SELLING PRICE TREND OF KEY PLAYERS, BY IOT PLATFORM
5.10.2 INDICATIVE PRICING ANALYSIS, BY SUBSCRIPTION TYPE
5.11 PORTER'S FIVE FORCES MODEL
5.11.1 THREAT OF NEW ENTRANTS
5.11.2 THREAT OF SUBSTITUTES
5.11.3 BARGAINING POWER OF BUYERS
5.11.4 BARGAINING POWER OF SUPPLIERS
5.11.5 INTENSITY OF COMPETITIVE RIVALRY
5.12 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
5.13 KEY STAKEHOLDERS AND BUYING CRITERIA
5.13.1 KEY STAKEHOLDERS IN BUYING PROCESS
5.13.2 BUYING CRITERIA
5.14 CURRENT AND EMERGING BUSINESS MODELS
5.14.1 CURRENT BUSINESS MODELS
5.14.2 EMERGING BUSINESS MODELS
5.15 KEY CONFERENCES AND EVENTS, 2024-2025
5.16 TECHNOLOGY ROADMAP FOR IOT MIDDLEWARE MARKET
5.16.1 IOT MIDDLEWARE TECHNOLOGY ROADMAP TILL 2030
5.16.1.1 Short-term roadmap (2023-2025)
5.16.1.2 Mid-term roadmap (2026-2028)
5.16.1.3 Long-term roadmap (2028-2030)
5.17 BEST PRACTICES IN IOT MIDDLEWARE MARKET
5.18 TOOLS, FRAMEWORKS, AND TECHNIQUES USED IN IOT MIDDLEWARE SOLUTIONS
5.19 INVESTMENT AND FUNDING SCENARIO
5.20 IMPACT OF GENERATIVE AI ON IOT MIDDLEWARE MARKET
5.20.1 INTEGRATING GENERATIVE AI IN IOT MIDDLEWARE
5.20.2 USE CASES OF GENERATIVE AI IN IOT MIDDLEWARE
5.20.3 BEST PRACTICES TO LEVERAGE GENERATIVE AI FOR IOT MIDDLEWARE
