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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

발행일: | 리서치사: MarketsandMarkets | 페이지 정보: 영문 222 Pages | 배송안내 : 즉시배송

    
    
    




※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

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 24.09.05

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 Study2019-2029
Base Year2023
Forecast Period2024-2029
Units ConsideredUSD (Billion)
SegmentsBy Platform Type, Vertical, and Region
Regions coveredNorth 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
    • 5.20.4 TRENDS OF GENERATIVE AI IN IOT MIDDLEWARE
    • 5.20.5 FUTURE OF GENERATIVE AI IN IOT MIDDLEWARE

6 IOT MIDDLEWARE MARKET, BY PLATFORM TYPE

  • 6.1 INTRODUCTION
    • 6.1.1 PLATFORM TYPE: IOT MIDDLEWARE MARKET DRIVERS
  • 6.2 DEVICE MANAGEMENT
    • 6.2.1 HELPS ORGANIZATIONS IN EFFECTIVELY MANAGING AND TRACKING, AND SECURING DEVICES
  • 6.3 APPLICATION MANAGEMENT
    • 6.3.1 PLATFORM ADDRESSES NEEDS SUCH AS INTELLIGENT PRODUCT ENHANCEMENTS, LOWER COSTS, RESOURCE OPTIMIZATION, AND REDUCED WASTAGE
  • 6.4 DATA MANAGEMENT
    • 6.4.1 HELPS ANALYZE DATA WITH MACHINE LEARNING AND ALGEBRAICAL CALCULATIONS
  • 6.5 CONNECTIVITY MANAGEMENT
    • 6.5.1 PROVIDES CENTRALIZED MONITORING, HELPING ORGANIZATIONS TO MANAGE VARIOUS PROCESSES OPTIMALLY
  • 6.6 SECURITY MANAGEMENT
    • 6.6.1 SECURES IOT ECOSYSTEM AGAINST CYBER THREATS

7 IOT MIDDLEWARE MARKET, BY VERTICAL

  • 7.1 INTRODUCTION
    • 7.1.1 VERTICAL: IOT MIDDLEWARE MARKET DRIVERS
  • 7.2 MANUFACTURING
    • 7.2.1 IOT HELPS IN FACTORY AUTOMATION, INDUSTRY 4.0 AND HELPS ORGANIZATIONS STREAMLINE BUSINESS PROCESSES AND OPTIMIZE OPERATIONS
    • 7.2.2 MANUFACTURING: USE CASES
  • 7.3 GOVERNMENT & DEFENSE
    • 7.3.1 OPPORTUNITIES TO CREATE SMART CITIES, IMPROVE CITY PLANNING, AND CONTROL WATER AND WASTE MANAGEMENT
    • 7.3.2 GOVERNMENT & DEFENSE: USE CASES
  • 7.4 TRANSPORTATION & LOGISTICS
    • 7.4.1 IOT PLATFORMS HELP AUTOMOTIVE INDUSTRY IMPROVE OPERATIONAL EFFICIENCY, REDUCING DOWNTIME AND LOWERING COSTS
    • 7.4.2 TRANSPORTATION & LOGISTICS: USE CASES
  • 7.5 ENERGY & UTILITIES
    • 7.5.1 IMPLEMENTATION OF IOT SOLUTIONS ACROSS ORGANIZATIONAL PROCESSES OPTIMIZES SUPPLY CHAIN, ENHANCES ASSET MONITORING & MAINTENANCE, AND INCREASES POTENTIAL RETURN ON IOT INVESTMENTS
    • 7.5.2 ENERGY & UTILITIES: USE CASES
  • 7.6 HEALTHCARE
    • 7.6.1 IOT IN HEALTHCARE HAS WIDENED DUE TO RISING ADOPTION OF WIRELESS DEVICES
    • 7.6.2 HEALTHCARE: USE CASES
  • 7.7 RETAIL
    • 7.7.1 IOT PLATFORMS ENABLE RETAIL CHAINS TO BE CONNECTED CENTRALLY TO IMPROVE ORDER AND INVENTORY MANAGEMENT
    • 7.7.2 RETAIL: USE CASES
  • 7.8 BANKING, FINANCIAL SERVICES, AND INSURANCE
    • 7.8.1 IOT TECHNOLOGIES ENHANCE USER EXPERIENCE, REDUCE OPERATIONAL COSTS, AND OFFER PERSONALIZED SERVICES
    • 7.8.2 BANKING, FINANCIAL SERVICES, AND INSURANCE: USE CASES
  • 7.9 OTHER VERTICALS

8 IOT MIDDLEWARE MARKET, BY REGION

  • 8.1 INTRODUCTION
  • 8.2 NORTH AMERICA
    • 8.2.1 MACROECONOMIC OUTLOOK FOR NORTH AMERICA
    • 8.2.2 US
      • 8.2.2.1 Presence of major IoT solution providers in US to drive market
    • 8.2.3 CANADA
      • 8.2.3.1 Rising investment in smart city initiatives to promote adoption of IoT technologies in Canada
  • 8.3 EUROPE
    • 8.3.1 MACROECONOMIC OUTLOOK FOR EUROPE
    • 8.3.2 UK
      • 8.3.2.1 Government funding for R&D to drive market in UK
    • 8.3.3 GERMANY
      • 8.3.3.1 Manufacturing industry has been pivotal in driving growth of German market
    • 8.3.4 FRANCE
      • 8.3.4.1 Rising investment in smart grids and cities to drive French market
    • 8.3.5 ITALY
      • 8.3.5.1 Italy progressing in IoT applications, especially in smart city and energy management projects
    • 8.3.6 SPAIN
      • 8.3.6.1 Adoption of IoT middleware across various sectors to drive market in Spain
    • 8.3.7 NORDIC COUNTRIES
      • 8.3.7.1 Growing focus on smart and sustainable IoT middleware to drive market in Nordic countries
    • 8.3.8 REST OF EUROPE
  • 8.4 ASIA PACIFIC
    • 8.4.1 MACROECONOMIC OUTLOOK FOR ASIA PACIFIC
    • 8.4.2 CHINA
      • 8.4.2.1 Development of IoT with advanced Internet infrastructure and innovative applications to drive market growth in China
    • 8.4.3 JAPAN
      • 8.4.3.1 Japan's cost-effective IoT platforms in cloud allow smaller companies to grow their operations with improved connectivity options
    • 8.4.4 INDIA
      • 8.4.4.1 Growing e-commerce industry in India to drive market
    • 8.4.5 AUSTRALIA & NEW ZEALAND
      • 8.4.5.1 Deployment of 5G and adoption of AI, cloud, and big data to drive market growth in ANZ
    • 8.4.6 SOUTH KOREA
      • 8.4.6.1 Rising 5G adoption to allow IoT applications to flourish with increased data usage and improved effectiveness
    • 8.4.7 REST OF ASIA PACIFIC
  • 8.5 MIDDLE EAST & AFRICA
    • 8.5.1 MACROECONOMIC OUTLOOK FOR MIDDLE EAST & AFRICA
    • 8.5.2 GCC COUNTRIES
      • 8.5.2.1 UAE
        • 8.5.2.1.1 Increasing need for industrial internet penetration to boost UAE market
      • 8.5.2.2 KSA
        • 8.5.2.2.1 Innovative projects such as Saudi Arabia's Vision 2030 to drive Kingdom's IoT market
      • 8.5.2.3 Rest of GCC countries
    • 8.5.3 SOUTH AFRICA
      • 8.5.3.1 Popularity of mobile application-based IoT middleware solutions to drive market
    • 8.5.4 REST OF MIDDLE EAST & AFRICA
  • 8.6 LATIN AMERICA
    • 8.6.1 MACROECONOMIC OUTLOOK FOR LATIN AMERICA
    • 8.6.2 BRAZIL
      • 8.6.2.1 Government initiatives to develop and accelerate the adoption of IoT in Brazil
    • 8.6.3 MEXICO
      • 8.6.3.1 Popularity of mobile application-based IoT middleware solutions to drive market in Mexico
    • 8.6.4 REST OF LATIN AMERICA

9 COMPETITIVE LANDSCAPE

  • 9.1 INTRODUCTION
  • 9.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2023
    • 9.2.1 OVERVIEW OF STRATEGIES ADOPTED BY KEY IOT MIDDLEWARE MARKET VENDORS
  • 9.3 REVENUE ANALYSIS
  • 9.4 MARKET SHARE ANALYSIS
  • 9.5 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
    • 9.5.1 STARS
    • 9.5.2 EMERGING LEADERS
    • 9.5.3 PERVASIVE PLAYERS
    • 9.5.4 PARTICIPANTS
    • 9.5.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
  • 9.6 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
    • 9.6.1 PROGRESSIVE COMPANIES
    • 9.6.2 RESPONSIVE COMPANIES
    • 9.6.3 DYNAMIC COMPANIES
    • 9.6.4 STARTING BLOCKS
    • 9.6.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES
  • 9.7 COMPETITIVE SCENARIO AND TRENDS
    • 9.7.1 PRODUCT LAUNCHES
    • 9.7.2 DEALS
  • 9.8 BRAND/PRODUCT COMPARISON
  • 9.9 COMPANY VALUATION AND FINANCIAL METRICS

10 COMPANY PROFILES

  • 10.1 KEY PLAYERS
    • 10.1.1 MICROSOFT
      • 10.1.1.1 Business overview
      • 10.1.1.2 Products/Solutions/Services offered
      • 10.1.1.3 Recent developments
      • 10.1.1.4 MnM view
        • 10.1.1.4.1 Right to win
        • 10.1.1.4.2 Strategic choices
        • 10.1.1.4.3 Weaknesses and competitive threats
    • 10.1.2 IBM
      • 10.1.2.1 Business overview
      • 10.1.2.2 Products/Solutions/Services offered
      • 10.1.2.3 Recent developments
      • 10.1.2.4 MnM view
        • 10.1.2.4.1 Key strengths
        • 10.1.2.4.2 Strategic choices
        • 10.1.2.4.3 Weaknesses and competitive threats
    • 10.1.3 CISCO
      • 10.1.3.1 Business overview
      • 10.1.3.2 Products/Solutions/Services offered
      • 10.1.3.3 Recent developments
      • 10.1.3.4 MnM view
        • 10.1.3.4.1 Right to win
        • 10.1.3.4.2 Strategic choices
        • 10.1.3.4.3 Weaknesses and competitive threats
    • 10.1.4 AMAZON WEB SERVICES
      • 10.1.4.1 Business overview
      • 10.1.4.2 Products/Solutions/Services offered
      • 10.1.4.3 Recent developments
      • 10.1.4.4 MnM view
        • 10.1.4.4.1 Right to win
        • 10.1.4.4.2 Strategic choices
        • 10.1.4.4.3 Weaknesses and competitive threats
    • 10.1.5 PTC
      • 10.1.5.1 Business overview
      • 10.1.5.2 Products/Solutions/Services offered
      • 10.1.5.3 Recent developments
      • 10.1.5.4 MnM view
        • 10.1.5.4.1 Right to win
        • 10.1.5.4.2 Strategic choices
        • 10.1.5.4.3 Weaknesses and competitive threats
    • 10.1.6 SAP
      • 10.1.6.1 Business overview
      • 10.1.6.2 Products/Solutions/Services offered
      • 10.1.6.3 Recent developments
    • 10.1.7 HITACHI
      • 10.1.7.1 Business overview
      • 10.1.7.2 Platforms/Solutions/Services offered
      • 10.1.7.3 Recent developments
    • 10.1.8 ORACLE
      • 10.1.8.1 Business overview
      • 10.1.8.2 Products/Solutions/Services offered
      • 10.1.8.3 Recent developments
    • 10.1.9 GOOGLE
      • 10.1.9.1 Business overview
      • 10.1.9.2 Products/Solutions/Services offered
      • 10.1.9.3 Recent developments
    • 10.1.10 BOSCH
      • 10.1.10.1 Business overview
      • 10.1.10.2 Products/Solutions/Services offered
      • 10.1.10.3 Recent developments
    • 10.1.11 HPE
    • 10.1.12 SIEMENS
    • 10.1.13 GE
    • 10.1.14 SCHNEIDER ELECTRIC
    • 10.1.15 SOFTWARE AG
    • 10.1.16 AERIS COMMUNICATIONS
    • 10.1.17 SALESFORCE
    • 10.1.18 ATOS
  • 10.2 STARTUPS/SMES
    • 10.2.1 CLEARBLADE
    • 10.2.2 DAVRA NETWORKS
    • 10.2.3 AXIROS
    • 10.2.4 EUROTECH
    • 10.2.5 LITMUS AUTOMATION
    • 10.2.6 AYLA NETWORKS
    • 10.2.7 SUMATOSOFT
    • 10.2.8 QIO TECHNOLOGIES
    • 10.2.9 EXOSITE
    • 10.2.10 PARTICLE INDUSTRIES, INC.

11 ADJACENT/RELATED MARKETS

  • 11.1 INTRODUCTION
  • 11.2 IOT MARKET - GLOBAL FORECAST TO 2026
    • 11.2.1 MARKET DEFINITION
    • 11.2.2 MARKET OVERVIEW
      • 11.2.2.1 IoT market, by component
      • 11.2.2.2 IoT market, by organization size
      • 11.2.2.3 IoT market, by focus area
      • 11.2.2.4 IoT market, by region
  • 11.3 IOT IN MANUFACTURING MARKET - GLOBAL FORECAST TO 2026
    • 11.3.1 MARKET DEFINITION
    • 11.3.2 MARKET OVERVIEW
      • 11.3.2.1 IoT in manufacturing market, by component
      • 11.3.2.2 IoT in manufacturing market, by solution
      • 11.3.2.3 IoT in manufacturing market, by service
      • 11.3.2.4 IoT in manufacturing market, by deployment mode
      • 11.3.2.5 IoT in manufacturing market, by organization size
      • 11.3.2.6 IoT in manufacturing market, by application
      • 11.3.2.7 IoT in manufacturing market, by vertical
      • 11.3.2.8 IoT in manufacturing market, by region

12 APPENDIX

  • 12.1 DISCUSSION GUIDE
  • 12.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 12.3 CUSTOMIZATION OPTIONS
  • 12.4 RELATED REPORTS
  • 12.5 AUTHOR DETAILS
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