IoT Platforms Market By Platforms (Device Management, Application Enablement, Connectivity Management, IoT Advanced Analytics), Focus Areas (Smart Manufacturing, Smart Transportation/Mobility, Smart Healthcare) - Global Forecast to 2030

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USD 65.29
MARKET SIZE, 2030
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CAGR 8.1%
(2025-2030)
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250
REPORT PAGES
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150
MARKET TABLES

OVERVIEW

iot-platform-market Overview

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

The IoT platform market is projected to reach USD 65.29 billion by 2030, up from USD 44.30 billion in 2025, at a CAGR of 8.1% from 2025 to 2030. The IoT platform market is moving toward hybrid cloud solutions that process data both in the cloud and locally on the device for faster results. Leading platforms now use built-in AI to help companies move beyond merely "seeing" their data to actually predicting when a machine will fail. This shift is helping businesses save significantly on maintenance costs and enabling them to launch new connected products much faster than before.

KEY TAKEAWAYS

  • By Region
    The Asia Pacific region is expected to be the fastest-growing, at a CAGR of 11.0% during the forecast period.
  • By Offering
    By offering, the services segment is expected to register the highest CAGR of 8.5%.
  • By Application
    By application, the asset management segment held the largest market share of 23.1% in 2025.
  • By Focus Area
    By focus areas, the smart manufacturing segment is projected to dominate the market.
  • Competitive Landscape - Key Players
    Companies such as Cisco, AWS, Microsoft, Oracle, and PTC were identified as some of the star players in the IoT Market (global), given their strong market share and product footprint.
  • Competitive Landscape - Startups/SMEs
    Companies such as Particle, Clearblade, Emnify, and Losant, among others, have distinguished themselves among startups and SMEs by securing strong footholds in specialized niche areas, underscoring their potential as emerging market leaders.

IoT platforms are becoming the "brain" of IoT, focusing on security-by-design and seamless connectivity across different types of hardware. Most providers now offer outcome-based services, where customers pay for guaranteed results, such as "total uptime," rather than just the software itself. This evolution is making it easier for smaller companies to adopt IoT, as platforms now handle the complex task of keeping thousands of devices secure and updated automatically.

TRENDS & DISRUPTIONS IMPACTING CUSTOMERS' CUSTOMERS

The impact on consumers' business emerges from customer trends or disruptions. Hotbets are clients of manufacturing (IIoT), utilities, smart cities, healthcare devices, retail & logistics, automotive/transportation, agriculture and commercial buildings all buying managed IoT platforms, connectivity, edge compute and device-security services. Disruptions include fragmentation of standards/interoperability, rising device security & privacy regulation, supplier & silicon constraints, vendor consolidation and emergence of vertical-specific platform players and real-time analytics.

iot-platform-market Disruptions

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

MARKET DYNAMICS

Drivers
Impact
Level
  • Rising demand for digital twin technology increases need for sophisticated virtual modeling
  • Integration of generative AI and autonomous agents
RESTRAINTS
Impact
Level
  • Technical fragmentation to limit seamless communication
  • Complexity of international data privacy laws
OPPORTUNITIES
Impact
Level
  • Growth of hybrid edge-to-cloud architectures
  • Shift toward vertical-specific IoT platforms to create tailored solutions
CHALLENGES
Impact
Level
  • Legacy system integration
  • IoT skills shortage

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

Driver: Rising demand for digital twin technology increases need for sophisticated virtual modeling

Organizations are increasingly using platforms to create "Digital Twins"—virtual replicas of physical assets such as factories or power grids—to simulate changes before they occur. This trend pushes platform vendors to include advanced 3D modeling and real-time synchronization tools that can predict equipment failures with extreme accuracy. By using these virtual models, businesses can reduce physical testing costs and optimize operations in a risk-free digital environment. This trend is turning IoT platforms into essential "operating systems" for modern industrial management.

Restraint: Technical fragmentation to limit seamless communication

With hundreds of IoT platforms available, there is no single "universal language," which often leads to "vendor lock-in," where a company’s data is trapped in one system. This lack of interoperability makes it incredibly difficult and expensive for a business to switch providers or connect two platforms. This fragmentation forces companies to spend extra money on "bridge" software just to make their systems talk to each other. Until the industry agrees on common standards, many businesses will remain hesitant to commit to large-scale, multi-platform projects.

Opportunity: Growth of hybrid edge-to-cloud architectures

Modern platforms now have the opportunity to split the "thinking" between the cloud and the device itself, known as edge-to-cloud orchestration. By processing urgent data locally (at the "edge") and sending only the most important summaries to the cloud, platforms can save companies up to 40% on internet and storage costs. This hybrid approach allows for faster responses in critical situations, like stopping a machine before it breaks, while still keeping a full record in the cloud for long-term study. Platforms that can seamlessly manage this "split-brain" architecture are seeing a massive surge in interest from industrial and medical users.

Challenge: Legacy system integration

Most factories and utilities still rely on machines that are decades old and were never designed to connect to the internet. Bridging the gap between these aging mechanical systems and modern, high-tech IoT platforms is a major technical challenge that often requires costly custom hardware and "translators." Many projects are delayed because the old machines speak "languages" that modern software doesn't understand. This makes the physical setup of an IoT platform far more difficult than simply installing the software.

IOT PLATFORM MARKET: COMMERCIAL USE CASES ACROSS INDUSTRIES

COMPANY USE CASE DESCRIPTION BENEFITS
Fleet telemetry ingestion and analytics via IoT FleetWise for vehicles Predictive maintenance, route optimization, faster diagnostics, lower fleet downtime
Azure IoT Hub and Digital Twins for factory automation Reduced downtime, optimized throughput, real-time operational visibility and control
Maximo-integrated IoT for enterprise asset performance management Centralized asset intelligence, extended equipment life, fewer failures
Oracle IoT Cloud for supply-chain tracking and real-time monitoring Improved traceability, faster recalls, inventory accuracy, supply-chain resilience
Industrial digital-twin platform for factories, energy and assets Optimized plant operations, energy savings, predictive maintenance, and performance analytics

Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.

MARKET ECOSYSTEM

The IoT platform ecosystem is divided into two categories: platform and service providers (Microsoft, Cisco, Avnet, AWS, PTC) deliver cloud platforms, device management, edge orchestration, digital twin services, analytics, and partner marketplaces that form the core cloud-to-edge backbone; regulatory bodies (NIST, ITU, ETSI, and national regulators) provide security frameworks, interoperability standards, spectrum and certification rules, and compliance guidelines.

iot-platform-market Ecosystem

Logos and trademarks shown above are the property of their respective owners. Their use here is for informational and illustrative purposes only.

MARKET SEGMENTS

iot-platform-market Segments

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

IoT Platforms Market, By Offering

The platform segment remains the largest part of the IoT platforms market. It serves as a critical middleware layer that connects physical hardware to actionable digital insights. Application enablement and device management layers lead this segment. They help businesses expand their connected systems with minimal custom coding. The shift toward hybrid and cloud-native architectures has accelerated. These architectures provide the infrastructure needed to handle massive data streams from billions of global endpoints. Major providers are increasingly incorporating analytics and edge-to-cloud orchestration into these platforms to lower total ownership costs. As a result, the platform layer continues to lead in revenue and serves as the key foundation for all enterprise-level digital transformations.

IoT Platforms Market, By Application

The emergency and incident management segment is a high-priority application driven by the urgent need for real-time situational awareness in public safety. These platforms integrate diverse sensor data—ranging from smoke detectors and seismic sensors to AI-powered surveillance cameras—to provide a unified view of unfolding crises. By automating alerts and coordinating responses across multiple agencies, IoT-enabled systems have significantly reduced emergency response times in both urban and rural environments. The growing frequency of natural disasters and the expansion of smart city initiatives are further fueling demand for these resilient, low-latency communication networks. This segment relies heavily on secure, interoperable software that ensures mission-critical data reaches first responders without delay.

IoT Platforms Market, By Focus Area

Smart manufacturing stands as the largest focus area for the IoT platforms market, accounting for over a quarter of total industry deployments as factories embrace the full potential of Industry 4.0. IoT platforms in this sector are primarily utilized for predictive maintenance and real-time asset tracking, allowing manufacturers to prevent costly equipment failures before they occur. The integration of digital twins and AI-driven process optimization has enabled unprecedented levels of operational efficiency and production customization. Driven by the need to combat labor shortages and rising energy costs, manufacturers are investing heavily in these platforms to gain end-to-end visibility across their supply chains. As a result, the industrial sector continues to outpace all other focus areas in terms of IoT investment and realized business value.

REGION

Asia Pacific to be the fastest-growing region in the global IoT platforms market during the forecast period

The Asia Pacific region is the fastest-growing market for IoT platforms, driven by extensive digital transformation and high-speed 5G deployments across China, India, and Japan. Governments in the region are aggressively funding smart infrastructure and industrial automation projects to bolster economic competitiveness. This rapid growth is supported by a robust ecosystem of local hardware manufacturers and a surge in cloud-native platform adoption among small and medium-sized enterprises. Furthermore, the growing need for real-time data analytics in densely populated urban centers is pushing enterprises toward scalable, intelligent middleware. As a result, Asia Pacific is not only a global manufacturing hub but also the leading engine for software-driven IoT innovation.

iot-platform-market Region

IOT PLATFORM MARKET: COMPANY EVALUATION MATRIX

In the IoT platforms market matrix, Microsoft (Star) leads with a strong market share and an extensive product footprint, driven by its customized solutions tailored to customers' requirements and growth strategies that consistently deliver advanced technology. Avnet (Emerging Leader) is gaining visibility with innovative solutions to meet future IoT demands. While Microsoft dominates through scale and a diverse portfolio, Avnet shows significant potential to move toward the leaders’ quadrant as IoT demand continues to rise.

iot-platform-market Evaluation Metrics

Source: Secondary Research, Interviews with Experts, MarketsandMarkets Analysis

KEY MARKET PLAYERS

MARKET SCOPE

REPORT METRIC DETAILS
Market Size in 2024 (Value) USD 40.28 Billion
Market Forecast in 2030 (Value) USD 65.29 Billion
Growth Rate CAGR of 8.1% from 2025 to 2030
Years Considered 2019-2030
Base Year 2024
Forecast Period 2025-2030
Units Considered Value (USD Million/Billion)
Report Coverage Revenue forecast, company ranking, competitive landscape, growth factors, and trends
Segments Covered
  • By Offering:
    • Platforms (Device Management
    • Application Enablement
    • Connectivity Management
    • IoT Cloud
    • IoT Advanced Analytics)
    • Services (Professional Services
    • Managed Services)
  • By Application:
    • Asset Management
    • Supply Chain Management
    • Business Process Optimization
    • Workforce Management
    • Emergency & Incident Management
    • Other Applications
  • By Focus Areas:
    • Smart Manufacturing
    • Smart Transportation/Mobility
    • Smart Healthcare
    • Smart Retail
    • Smart Buildings
    • Smart Energy & Utilities
    • Smart Agriculture
    • Other Focus Areas
Regions Covered North America, Europe, Asia Pacific, Middle East & Africa, Latin America

WHAT IS IN IT FOR YOU: IOT PLATFORM MARKET REPORT CONTENT GUIDE

iot-platform-market Content Guide

DELIVERED CUSTOMIZATIONS

We have successfully delivered the following deep-dive customizations:

CLIENT REQUEST CUSTOMIZATION DELIVERED VALUE ADDS
Leading Solution Provider (Asia Pacific) Product Analysis: Product Matrix, which gives a detailed comparison of the product portfolio of each company Enhanced understanding of competitive positioning and product offerings
Leading Service Provider (US) Company Information: Detailed analysis and profiling of additional market players (up to 5) Deeper insights into market dynamics and potential strategic partnerships

RECENT DEVELOPMENTS

  • November 2025 : TPG agreed to acquire PTC's ThingWorx IoT and Kepware connectivity businesses, injecting capital for expanded industrial IoT growth worldwide.
  • September 2025 : Siemens relaunched MindSphere as an Open Industry Cloud platform, supporting scalable IoT data management for global manufacturing users.
  • June 2025 : AWS launched IoT RoboRunner for robotics orchestration alongside IoT ExpressLink modules and Private 5G service to enhance global industrial IoT edge deployments.

Table of Contents

Exclusive indicates content/data unique to MarketsandMarkets and not available with any competitors.

TITLE
PAGE NO
1
INTRODUCTION
 
 
 
15
2
EXECUTIVE SUMMARY
 
 
 
 
3
PREMIUM INSIGHTS
 
 
 
 
4
MARKET OVERVIEW AND INDUSTRY TRENDS
Highlights the market structure, growth drivers, restraints, and near-term inflection points influencing performance.
 
 
 
 
 
4.1
INTRODUCTION
 
 
 
 
4.2
MARKET DYNAMICS
 
 
 
 
 
4.2.1
DRIVERS
 
 
 
 
4.2.2
RESTRAINTS
 
 
 
 
4.2.3
OPPORTUNITIES
 
 
 
 
4.2.4
CHALLENGES
 
 
 
4.3
INTERCONNECTED MARKETS AND CROSS-SECTOR OPPORTUNITIES
 
 
 
 
4.4
STRATEGIC MOVES BY TIER-1/2/3 PLAYERS
 
 
 
5
INDUSTRY TRENDS
Outlines emerging trends, technology impact, and regulatory signals affecting growth trajectory and stakeholder decisions.
 
 
 
 
 
5.1
PORTER’S FIVE FORCES ANALYSIS
 
 
 
 
 
5.1.1
THREAT OF NEW ENTRANTS
 
 
 
 
5.1.2
THREAT OF SUBSTITUTES
 
 
 
 
5.1.3
BARGAINING POWER OF SUPPLIERS
 
 
 
 
5.1.4
BARGAINING POWER OF BUYERS
 
 
 
 
5.1.5
INTENSITY OF COMPETITIVE RIVALRY
 
 
 
5.2
MACROECONOMIC OUTLOOK
 
 
 
 
 
5.2.1
INTRODUCTION
 
 
 
 
5.2.2
GDP TRENDS AND FORECAST
 
 
 
 
5.2.3
TRENDS IN IOT PLATFORMS INDUSTRY
 
 
 
5.3
SUPPLY CHAIN ANALYSIS
 
 
 
 
 
5.4
ECOSYSTEM ANALYSIS
 
 
 
 
 
5.5
PRICING ANALYSIS
 
 
 
 
 
 
5.5.1
AVERAGE SELLING PRICE OF KEY PLAYERS, BY OFFERING
 
 
 
 
5.5.2
AVERAGE SELLING PRICE, BY PLATFORMS
 
 
 
5.6
KEY CONFERENCES AND EVENTS, 2026-2027
 
 
 
 
5.7
TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
 
 
 
 
5.8
INVESTMENT FUNDING SCENARIO
 
 
 
 
5.9
CASE STUDY ANALYSIS
 
 
 
 
5.10
IMPACT OF 2025 US TARIFF ON IOT PLATFORMS MARKET
 
 
 
 
 
 
5.10.1
KEY TARIFF RATES
 
 
 
 
5.10.2
PRICE IMPACT ANALYSIS
 
 
 
 
5.10.3
IMPACT ON COUNTRIES/REGIONS
 
 
 
 
 
5.10.3.1
US
 
 
 
5.10.4
IMPACT ON VERTICALS
 
 
6
TECHNOLOGICAL ADVANCEMENTS, AI-DRIVEN IMPACT, PATENT INNOVATIONS, AND FUTURE APPLICATIONS
 
 
 
 
 
6.1
KEY TECHNOLOGIES
 
 
 
 
6.2
COMPLEMENTARY TECHNOLOGIES
 
 
 
 
6.3
ADJACENT TECHNOLOGIES
 
 
 
 
6.4
TECHNOLOGY/PRODUCT ROADMAP
 
 
 
 
6.5
PATENT ANALYSIS
 
 
 
 
 
6.6
FUTURE APPLICATIONS
 
 
 
 
6.7
IMPACT OF AI/GEN AI ON IOT PLATFORMS MARKET
 
 
 
 
 
 
6.7.1
TOP USE CASES AND MARKET POTENTIAL
 
 
 
 
6.7.2
BEST PRACTICES IN IOT PLATFORMS MARKET
 
 
 
 
6.7.3
CASE STUDIES OF AI IMPLEMENTATION IN PLATFORM IOT MARKET
 
 
 
 
6.7.4
INTERCONNECTED ADJACENT ECOSYSTEMS AND IMPACT ON MARKET PLAYERS
 
 
 
 
6.7.5
CLIENTS’ READINESS TO ADOPT AI-INTEGRATED IOT
 
 
 
6.8
SUCCESS STORIES AND REAL-WORLD APPLICATIONS
 
 
 
7
REGULATORY LANDSCAPE
 
 
 
 
 
7.1
REGIONAL REGULATIONS AND COMPLIANCE
 
 
 
 
 
7.1.1
REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
 
 
 
 
7.1.2
INDUSTRY STANDARDS
 
 
8
CUSTOMER LANDSCAPE & BUYING BEHAVIOR
 
 
 
 
 
8.1
INTRODUCTION
 
 
 
 
8.2
DECISION-MAKING PROCESS
 
 
 
 
8.3
KEY STAKEHOLDERS INVOLVED IN BUYING PROCESS AND THEIR EVALUATION CRITERIA
 
 
 
 
 
8.3.1
KEY STAKEHOLDERS IN BUYING PROCESS
 
 
 
 
8.3.2
BUYING CRITERIA
 
 
 
8.4
ADOPTION BARRIERS & INTERNAL CHALLENGES
 
 
 
 
8.5
UNMET NEEDS IN VARIOUS VERTICALS
 
 
 
9
IOT PLATFORMS MARKET, BY OFFERING (MARKET SIZE & FORECAST TO 2030 – IN VALUE, USD BILLION)
 
 
 
 
 
(COMPARATIVE ASSESSMENT OF KEY OFFERINGS, THEIR MARKET POTENTIAL, AND SUPPLY PATTERNS OF VARIOUS VENDORS)
 
 
 
 
 
9.1
INTRODUCTION
 
 
 
 
9.2
PLATFORMS
 
 
 
 
 
9.2.1
DEVICE MANAGEMENT
 
 
 
 
9.2.2
APPLICATION ENABLEMENT
 
 
 
 
9.2.3
CONNECTIVITY MANAGEMENT
 
 
 
 
9.2.4
IOT CLOUD
 
 
 
 
9.2.5
IOT ADVANCED ANALYTICS
 
 
 
9.3
SERVICES
 
 
 
 
 
9.3.1
PROFESSIONAL SERVICES
 
 
 
 
9.3.2
MANAGED SERVICES
 
 
10
IOT PLATFORMS MARKET, BY APPLICATION (MARKET SIZE & FORECAST TO 2030 – IN VALUE, USD BILLION)
 
 
 
 
 
(COMPARATIVE ASSESSMENT OF KEY APPLICATION, THEIR MARKET POTENTIAL, AND SUPPLY PATTERNS OF VARIOUS VENDORS)
 
 
 
 
 
10.1
INTRODUCTION
 
 
 
 
10.2
ASSET MANAGEMENT
 
 
 
 
10.3
SUPPLY CHAIN MANAGEMENT
 
 
 
 
10.4
BUSINESS PROCESS OPTIMIZATION
 
 
 
 
10.5
WORKFORCE MANAGEMENT
 
 
 
 
10.6
EMERGENCY & INCIDENT MANAGEMENT
 
 
 
 
10.7
OTHER APPLICATIONS
 
 
 
11
IOT PLATFORMS MARKET, BY FOCUS AREA (MARKET SIZE & FORECAST TO 2030 – IN VALUE, USD BILLION)
 
 
 
 
 
(COMPARATIVE ASSESSMENT OF KEY FOCUS AREA, THEIR MARKET POTENTIAL, AND SUPPLY PATTERNS OF VARIOUS VENDORS)
 
 
 
 
 
11.1
INTRODUCTION
 
 
 
 
11.2
SMART MANUFACTURING
 
 
 
 
11.3
SMART TRANSPORTATION/MOBILITY
 
 
 
 
11.4
SMART HEALTHCARE
 
 
 
 
11.5
SMART RETAIL
 
 
 
 
11.6
SMART BUILDING
 
 
 
 
11.7
SMART ENERGY & UTILITIES
 
 
 
 
11.8
SMART AGRICULTURE
 
 
 
 
11.9
OTHER FOCUS AREAS
 
 
 
12
IOT PLATFORMS MARKET, BY REGION (MARKET SIZE & FORECAST TO 2030 – IN VALUE, USD BILLION)
 
 
 
 
 
ASSESSING GROWTH PATTERNS, INDUSTRY FORCES, REGULATORY LANDSCAPE, AND MARKET POTENTIAL ACROSS KEY GEOGRAPHIES AND COUNTRIES
 
 
 
 
 
12.1
INTRODUCTION
 
 
 
 
12.2
NORTH AMERICA
 
 
 
 
 
12.2.1
US
 
 
 
 
12.2.2
CANADA
 
 
 
12.3
EUROPE
 
 
 
 
 
12.3.1
UK
 
 
 
 
12.3.2
GERMANY
 
 
 
 
12.3.3
FRANCE
 
 
 
 
12.3.4
ITALY
 
 
 
 
12.3.5
REST OF EUROPE
 
 
 
12.4
ASIA PACIFIC
 
 
 
 
 
12.4.1
CHINA
 
 
 
 
12.4.2
INDIA
 
 
 
 
12.4.3
JAPAN
 
 
 
 
12.4.4
REST OF ASIA PACIFIC
 
 
 
12.5
MIDDLE EAST & AFRICA
 
 
 
 
 
12.5.1
UAE
 
 
 
 
12.5.2
SAUDI ARABIA
 
 
 
 
12.5.3
SOUTH AFRICA
 
 
 
 
12.5.4
REST OF MIDDLE EAST & AFRICA
 
 
 
12.6
LATIN AMERICA
 
 
 
 
 
12.6.1
BRAZIL
 
 
 
 
12.6.2
MEXICO
 
 
 
 
12.6.3
REST OF LATIN AMERICA
 
 
13
COMPETITIVE LANDSCAPE (STRATEGIC ASSESSMENT OF LEADING PLAYERS, MARKET SHARE, REVENUE ANALYSIS, COMPANY POSITIONING, AND COMPETITIVE BENCHMARKS INFLUENCING MARKET POTENTIAL)
 
 
 
 
 
13.1
OVERVIEW
 
 
 
 
13.2
KEY PLAYER STRATEGIES/RIGHT TO WIN
 
 
 
 
13.3
REVENUE ANALYSIS (2021-2024)
 
 
 
 
 
13.4
MARKET SHARE ANALYSIS,
 
 
 
 
 
13.5
PRODUCT COMPARISON
 
 
 
 
 
13.6
COMPANY EVALUATION MATRIX: KEY PLAYERS,
 
 
 
 
 
 
13.6.1
STARS
 
 
 
 
13.6.2
EMERGING LEADERS
 
 
 
 
13.6.3
PERVASIVE PLAYERS
 
 
 
 
13.6.4
PARTICIPANTS
 
 
 
 
13.6.5
COMPANY FOOTPRINT: KEY PLAYERS,
 
 
 
 
 
13.6.5.1
COMPANY FOOTPRINT
 
 
 
 
13.6.5.2
REGION FOOTPRINT
 
 
 
 
13.6.5.3
OFFERING FOOTPRINT
 
 
 
 
13.6.5.4
APPLICATION FOOTPRINT
 
 
 
 
13.6.5.5
FOCUS AREA FOOTPRINT
 
 
13.7
COMPANY EVALUATION MATRIX: STARTUPS/SMES,
 
 
 
 
 
 
13.7.1
PROGRESSIVE COMPANIES
 
 
 
 
13.7.2
RESPONSIVE COMPANIES
 
 
 
 
13.7.3
DYNAMIC COMPANIES
 
 
 
 
13.7.4
STARTING BLOCKS
 
 
 
 
13.7.5
COMPETITIVE BENCHMARKING: STARTUPS/SMES,
 
 
 
 
 
13.7.5.1
DETAILED LIST OF KEY STARTUPS/SMES
 
 
 
 
13.7.5.2
COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
 
 
13.8
COMPANY VALUATION AND FINANCIAL METRICS
 
 
 
 
13.9
COMPETITIVE SCENARIO
 
 
 
 
 
13.9.1
PRODUCT LAUNCHES
 
 
 
 
13.9.2
DEALS
 
 
 
 
13.9.3
EXPANSIONS
 
 
14
COMPANY PROFILES
 
 
 
 
 
IN-DEPTH REVIEW OF COMPANIES, OFFERINGS, RECENT INITIATIVES, AND POSITIONING STRATEGIES IN IOT PLATFORMS MARKET LANDSCAPE
 
 
 
 
 
14.1
KEY PLAYERS
 
 
 
 
14.2
MICROSOFT
 
 
 
 
14.3
AWS
 
 
 
 
14.4
ORACLE
 
 
 
 
14.5
CISCO
 
 
 
 
14.6
PTC
 
 
 
 
14.7
SAP
 
 
 
 
14.8
AVNET
 
 
 
 
14.9
IBM
 
 
 
 
14.10
GOOGLE
 
 
 
 
14.11
SOFTWARE AG
 
 
 
 
14.12
HITACHI
 
 
 
 
14.13
TELIT CINTERION
 
 
 
 
14.14
CLEARBLADE
 
 
 
 
14.15
HQSOFTWARE
 
 
 
 
14.16
EMNIFY
 
 
 
15
RESEARCH METHODOLOGY
 
 
 
 
 
15.1
RESEARCH APPROACH
 
 
 
 
 
15.1.1
SECONDARY DATA
 
 
 
 
 
15.1.1.1
KEY DATA FROM SECONDARY SOURCES
 
 
 
15.1.2
PRIMARY DATA
 
 
 
 
 
15.1.2.1
KEY DATA FROM PRIMARY SOURCES
 
 
 
 
15.1.2.2
KEY PRIMARY PARTICIPANTS
 
 
 
 
15.1.2.3
BREAKDOWN OF PRIMARY INTERVIEWS
 
 
 
 
15.1.2.4
KEY INDUSTRY INSIGHTS
 
 
15.2
MARKET SIZE ESTIMATION
 
 
 
 
 
15.2.1
BOTTOM-UP APPROACH
 
 
 
 
15.2.2
TOP-DOWN APPROACH
 
 
 
15.3
MARKET FORECAST APPROACH
 
 
 
 
 
15.3.1
SUPPLY SIDE
 
 
 
 
15.3.2
DEMAND SIDE
 
 
 
15.4
DATA TRIANGULATION
 
 
 
 
15.5
RESEARCH ASSUMPTIONS AND LIMITATIONS
 
 
 
 
15.6
RISK ASSESSMENT
 
 
 
16
APPENDIX
 
 
 
 
 
16.1
DISCUSSION GUIDE
 
 
 
 
16.2
KNOWLEDGE STORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
 
 
 
 
16.3
CUSTOMIZATION OPTIONS
 
 
 
 
16.4
RELATED REPORTS
 
 
 
 
16.5
AUTHOR DETAILS
 
 
 
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