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시장보고서
상품코드
2087868
화학 분야 IoT 시장 : 컴포넌트별, 접속 기술별, 도입 형태별, 용도별, 최종사용자 산업별 - 세계 시장 예측(2026-2032년)IoT in Chemical Market by Component, Connectivity Technology, Deployment Mode, Connectivity Technology, Application, End User Industry - Global Forecast 2026-2032 |
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360iResearch
화학 분야 IoT 시장은 2032년까지 연평균 복합 성장률(CAGR) 5.73%로 1,027억 7,000만 달러에 달할 것으로 예측됩니다.
| 주요 시장 통계 | |
|---|---|
| 기준 연도 : 2025년 | 695억 5,000만 달러 |
| 추정 연도 : 2026년 | 734억 2,000만 달러 |
| 예측 연도 : 2032년 | 1,027억 7,000만 달러 |
| CAGR(%) | 5.73% |
화학 산업에서 산업용 사물인터넷(IIoT)의 도입은 개별 자산 모니터링에서 벗어나, 센서, 분산 제어 시스템, 제조 실행 시스템, 실험실 정보 관리, 기업 자원 계획(ERP)을 연계하여 플랜트 전체를 아우르는 지능형 시스템으로 점차 전환되고 있습니다. 화학 제조 분야에서 IoT 지원 계측 기기는 가동 시간, 제품 품질, 공정 안전성, 에너지 소비량, 규제 준수가 밀접하게 연관된 배치 공정 및 연속 공정 전반에 걸쳐 가시성을 향상시킵니다.
가장 유력한 이용 사례는 측정 가능한 운영 성과에 기반을 두고 있습니다. 구체적으로는 회전 장비의 예측 유지보수, 실시간 공정 최적화, 유해 가스 감지, 탱크 및 파이프라인 모니터링, 콜드체인 및 특수 화학물질 물류, 디지털화를 통한 근로자 안전 확보, 그리고 배출물, 폐수, 에너지 사용량에 관한 환경 모니터링 등이 있습니다. 화학 기업들이 이익률 압박, 지속가능성 정보 공개 기준의 강화, 추적성에 대한 고객의 기대 증가에 직면한 가운데, 화학 제조 분야의 IoT는 단순한 선택적 기술 투자가 아니라 핵심적인 디지털 인프라 계층으로 자리 잡고 있습니다.
화학 분야의 IoT 환경을 재구축하는 혁신적인 변화
화학 분야의 IoT 환경은 각 제조업체들이 무선 센서, 엣지 게이트웨이, 클라우드 플랫폼, 상호 운용 가능한 산업용 네트워크를 활용하여 기존 플랜트를 현대화함에 따라 변화하고 있습니다. 이러한 전환은 저전력 센서 설계, 프라이빗 5G, Wi-Fi 6, 시간 민감형 네트워킹, 엣지 컴퓨팅의 발전에 힘입어 이루어지고 있으며, 이 모든 기술은 중요한 제어 시스템에 지장을 주지 않으면서도 가혹한 산업 환경을 연결하는 데 기여하고 있습니다.
화학 분야에서 IoT에 대한 인공지능의 누적 영향
인공지능(AI)은 빈번하게 발생하는 공정, 진동, 온도, 압력, 유량, 배출 신호를 예측적·처방적 인사이트로 전환함으로써 IoT 데이터의 가치를 높이고 있습니다. 화학 플랜트에서는 AI 모델이 설비의 이상을 조기에 감지하고, 반응 조건을 최적화하며, 규격 외 제품 생산을 줄이고, 보일러, 압축기, 펌프, 열교환기, 증류 장치 등에서 에너지 절감 기회를 파악하기 위해 점점 더 많이 활용되고 있습니다.
세계 화학 산업의 IoT 시장에 대한 주요 지역별 분석
아시아태평양은 대규모 석유화학, 특수 화학제품, 비료, 전자 화학제품의 산업 기반을 갖추고 있어, 화학 제조 부문에서 IoT의 주요 수요 거점으로 자리 잡고 있습니다. 중국, 인도, 일본, 한국, 호주에서는 스마트 제조, 에너지 효율화, 안전 분야의 디지털화, 공급망 추적성에 대한 투자가 진행되고 있습니다. 이 지역에서의 도입은 급속한 산업 자동화의 진전, 통합형 화학 산업단지의 확대, 상호 연결된 자산, 실시간 모니터링, 데이터 기반 생산 관리를 촉진하는 정부 주도의 디지털 제조 이니셔티브에 힘입어 가속화되고 있습니다.
화학 산업에서의 IoT 도입 전략에 관한 주요 그룹 인사이트
아세안(ASEAN)의 화학 제조업체들은 싱가포르, 말레이시아, 태국, 인도네시아, 베트남, 필리핀에서 플랜트의 신뢰성, 물류의 가시성, 에너지 효율, 규정 준수 대응 능력을 향상시키기 위해 IoT를 도입하고 있습니다. 이 지역에서는 석유화학제품, 도료, 포장 자재, 특수 화학제품이 지역 제조 공급망을 뒷받침하고 있습니다. GCC 시장에서는 대규모 석유화학 및 정유 복합 시설을 통해 IoT가 추진되고 있으며, 이를 통해 연결된 자산 관리, 플레어 모니터링, 부식 모니터링, 배출량 추적, 디지털 트윈이 운영 우수성과 각국의 다각화 전략을 뒷받침하고 있습니다.
화학 제조 분야의 IoT와 관련된 주요 국가의 동향
미국은 석유화학, 특수 화학제품, 비료, 첨단 소재 부문에서 산업용 IoT 도입을 주도하고 있으며, 신뢰성 분석, 환경 모니터링, 연결된 근로자의 안전 대책, 사이버 보안에 대한 수요가 활발합니다. 캐나다는 에너지 집약형 화학 사업, 수소, 비료, 산업용 가스, 책임 있는 자원 개발에 중점을 두고 있는 반면, 멕시코는 니어쇼어링, 자동차용 화학제품, 포장, 전자제품 공급망, 국경 간 제조 통합의 혜택을 누리고 있습니다. 브라질의 기회는 농업용 화학제품, 바이오 원료, 펄프·제지용 화학제품, 산업 현대화와 관련이 있습니다.
화학 산업의 리더를 위한 실천적 제안
산업계의 리더는 IoT 도입을 측정 가능한 재무적 성과, 안전성 향상, 지속가능성 제고로 이어지는 부가가치가 높은 활용 사례부터 시작해야 합니다. 우선적으로 추진해야 할 과제로는 주요 회전 장비의 예측 유지보수, 연결된 작업자의 안전 대책, 배기가스 및 누출 감지, 탱크 및 파이프라인 모니터링, 에너지 모니터링, 그리고 배치 간 편차를 줄이기 위한 디지털 품질 관리 등이 포함됩니다.
화학 분야의 IoT 시장 분석을 위한 조사 기법
본 요약본은 검증된 산업 지식, 공인된 규제 체계, 화학 제조 부문에서 확립된 기술 도입 패턴에 초점을 맞춘 체계적인 2차 조사 방식을 통해 작성되었습니다. 본 분석에서는 산업 자동화 표준, 공정 안전 요건, 환경 규정 준수 촉진요인, 지역별 제조 동향, 사이버 보안 관련 지침, 그리고 석유화학, 특수 화학제품, 비료, 산업용 가스, 코팅, 폴리머, 첨단 소재에 걸친 검증된 이용 사례가 고려되었습니다.
결론: 화학 산업에서 전략적 우위로서의 IoT
IoT는 더욱 안전하고, 더욱 친환경적이며, 더욱 경쟁력 있는 화학 제조를 실현하기 위한 전략적 원동력이 되고 있습니다. 이러한 가치는 연결된 장치, 산업용 네트워크, 엣지 분석, 클라우드 플랫폼, AI가 가동률, 수율, 에너지 효율, 배기가스 제어, 규정 준수, 직원 안전과 같은 플랜트의 실질적인 우선순위와 부합할 때 가장 잘 발휘됩니다.
자주 묻는 질문
목차
제1장 서문
제2장 조사 방법
제3장 주요 요약
제4장 시장 개요
제5장 시장 인사이트
제6장 AI의 누적 영향, 2026년
제7장 화학 분야 IoT 시장 : 컴포넌트별
제8장 화학 분야 IoT 시장 : 접속 기술별
제9장 화학 분야 IoT 시장 : 도입 형태별
제10장 화학 분야 IoT 시장 : 접속 기술별
제11장 화학 분야 IoT 시장 : 용도별
제12장 화학 분야 IoT 시장 : 최종사용자 산업별
제13장 화학 분야 IoT 시장 : 지역별
제14장 화학 분야 IoT 시장 : 그룹별
제15장 화학 분야 IoT 시장 : 국가별
제16장 경쟁 구도
제17장 기업 개요
LSH 26.07.23The IoT in Chemical Market is projected to grow by USD 102.77 billion at a CAGR of 5.73% by 2032.
| KEY MARKET STATISTICS | |
|---|---|
| Base Year [2025] | USD 69.55 billion |
| Estimated Year [2026] | USD 73.42 billion |
| Forecast Year [2032] | USD 102.77 billion |
| CAGR (%) | 5.73% |
Industrial Internet of Things (IIoT) adoption in the chemical industry is moving from isolated asset monitoring to connected, plantwide intelligence that links sensors, distributed control systems, manufacturing execution systems, laboratory information management, and enterprise resource planning. In chemical manufacturing, IoT-enabled instrumentation improves visibility across batch and continuous processes where uptime, product quality, process safety, energy intensity, and regulatory compliance are tightly connected.
The strongest use cases are anchored in measurable operating outcomes: predictive maintenance for rotating equipment, real-time process optimization, hazardous gas detection, tank and pipeline monitoring, cold-chain and specialty chemical logistics, digital worker safety, and environmental monitoring for emissions, wastewater, and energy use. As chemical producers face margin pressure, stricter sustainability disclosure, and higher customer expectations for traceability, IoT in chemical operations is becoming a core digital infrastructure layer rather than a discretionary technology investment.
Transformative Shifts Reshaping the IoT Chemical Landscape
The chemical IoT landscape is shifting as producers modernize brownfield plants with wireless sensors, edge gateways, cloud platforms, and interoperable industrial networks. The transition is supported by advances in low-power sensor design, private 5G, Wi-Fi 6, time-sensitive networking, and edge computing, all of which help connect harsh industrial environments without disrupting critical control systems.
A second shift is the convergence of operational technology and information technology. Chemical manufacturers are prioritizing secure data architectures that allow process engineers, reliability teams, environmental teams, and executives to work from common operational data. This is changing purchasing behavior: buyers now evaluate IoT solutions not only on device accuracy, but also on cybersecurity, lifecycle support, integration with DCS/SCADA, compliance reporting, and ability to scale across multiple sites.
Cumulative Impact of Artificial Intelligence on Chemical IoT
Artificial intelligence is amplifying the value of IoT data by converting high-frequency process, vibration, thermal, pressure, flow, and emissions signals into predictive and prescriptive insights. In chemical plants, AI models are increasingly used to detect early equipment anomalies, optimize reaction conditions, reduce off-spec production, and identify energy-saving opportunities across boilers, compressors, pumps, heat exchangers, and distillation units.
The cumulative impact is strongest when AI is governed with domain expertise, validated data, and safety-aware deployment. Because chemical operations are regulated and risk-sensitive, leading companies are applying AI alongside process hazard analysis, model monitoring, explainability, and cybersecurity controls. The result is a more resilient operating model in which IoT captures the physical state of assets while AI supports faster, evidence-based decisions.
Key Regional Insights Across Global Chemical IoT Markets
Asia-Pacific is a major demand center for IoT in chemical manufacturing because of its large petrochemical, specialty chemical, fertilizer, and electronics chemical base, with China, India, Japan, South Korea, and Australia investing in smart manufacturing, energy efficiency, safety digitization, and supply-chain traceability. Regional adoption is reinforced by rapid industrial automation, expansion of integrated chemical parks, and government-backed digital manufacturing initiatives that encourage connected assets, real-time monitoring, and data-driven production control.
North America shows strong adoption in predictive maintenance, emissions monitoring, process safety, and connected logistics, supported by advanced automation ecosystems and regulatory attention to occupational safety, hazardous materials, and environmental performance. Europe is driven by energy efficiency, circular economy goals, sustainability reporting, REACH-aligned chemicals management, and decarbonization pressures, while Latin America is gaining traction through mining chemicals, agriculture inputs, refining, and industrial modernization. The Middle East is using IoT to optimize petrochemical complexes, downstream diversification, asset integrity, and utilities performance, and Africa is gradually adopting IoT for worker safety, utilities management, tank monitoring, and logistics visibility in emerging chemical and industrial hubs.
Key Group Insights for Strategic Chemical IoT Adoption
ASEAN chemical producers are adopting IoT to improve plant reliability, logistics visibility, energy efficiency, and compliance readiness across Singapore, Malaysia, Thailand, Indonesia, Vietnam, and the Philippines, where petrochemicals, coatings, packaging materials, and specialty chemicals support regional manufacturing supply chains. GCC markets are advancing IoT through large-scale petrochemical and refining complexes, where connected asset management, flare monitoring, corrosion monitoring, emissions tracking, and digital twins support operational excellence and national diversification strategies.
The European Union remains a benchmark for sustainability-driven IoT adoption because regulatory frameworks encourage traceability, emissions reporting, safer chemicals management, resource efficiency, and energy optimization. BRICS economies are important demand centers due to expanding manufacturing capacity, infrastructure investment, chemical park development, and domestic demand for fertilizers, polymers, and specialty inputs, while the G7 leads in advanced automation, industrial cybersecurity practices, and high-value specialty chemicals. NATO-aligned markets place added emphasis on secure industrial networks, resilient supply chains, dual-use material oversight, and protection of critical chemical infrastructure.
Key Country Insights in IoT for Chemical Manufacturing
The United States leads in industrial IoT deployment across petrochemicals, specialty chemicals, fertilizers, and advanced materials, with strong demand for reliability analytics, environmental monitoring, connected worker safety, and cybersecurity. Canada emphasizes energy-intensive chemical operations, hydrogen, fertilizer, industrial gases, and responsible resource development, while Mexico benefits from nearshoring, automotive chemicals, packaging, electronics supply chains, and cross-border manufacturing integration. Brazil's opportunity is linked to agriculture chemicals, bio-based feedstocks, pulp and paper chemicals, and industrial modernization.
In Europe, the United Kingdom, Germany, France, Italy, and Spain are advancing IoT for energy management, process optimization, compliance, asset integrity, and specialty chemical competitiveness, supported by mature automation capabilities and sustainability requirements, while Russia's chemical sector remains shaped by domestic industrial needs, fertilizer production, petrochemical self-sufficiency, and evolving technology access. China continues to scale smart chemical parks, hazardous chemical monitoring, and digital production systems, India is expanding chemical capacity and safety digitization, Japan and South Korea lead in precision manufacturing, electronics chemicals, and high-reliability process control, and Australia applies IoT to mining chemicals, water treatment, industrial gases, LNG-adjacent chemicals, and remote asset monitoring.
Actionable Recommendations for Chemical Industry Leaders
Industry leaders should begin with high-value use cases that link IoT deployment to measurable financial, safety, and sustainability outcomes. Priority initiatives include predictive maintenance on critical rotating equipment, connected worker safety, emissions and leak detection, tank and pipeline monitoring, energy monitoring, and digital quality control for batch variability reduction.
Executives should also build a scalable data foundation by standardizing asset hierarchies, time-series data models, edge-to-cloud integration, cybersecurity controls, and governance for AI-enabled analytics. Vendors and technology partners should be evaluated on interoperability, industrial-grade reliability, cybersecurity alignment with ISA/IEC 62443 principles, integration with DCS/SCADA and MES environments, and ability to support regulated chemical operations over long asset lifecycles.
Research Methodology for IoT in Chemical Market Analysis
This executive summary is developed using a structured secondary research approach focused on verified industry knowledge, recognized regulatory frameworks, and established technology adoption patterns in chemical manufacturing. The analysis considers industrial automation standards, process safety requirements, environmental compliance drivers, regional manufacturing dynamics, cybersecurity guidance, and documented use cases across petrochemicals, specialty chemicals, fertilizers, industrial gases, coatings, polymers, and advanced materials.
The methodology emphasizes triangulation across public industry sources, government and regulatory guidance, standards bodies, company disclosures, technology ecosystem developments, and documented industrial IoT deployments. Insights are synthesized to identify demand drivers, operational priorities, regional differences, and strategic implications for IoT in chemical markets without relying on unverified claims, market sizing, market share, or speculative forecasting.
Conclusion: IoT as a Strategic Advantage in Chemicals
IoT is becoming a strategic enabler for safer, cleaner, and more competitive chemical manufacturing. Its value is strongest when connected devices, industrial networks, edge analytics, cloud platforms, and AI are aligned with real plant priorities such as uptime, yield, energy efficiency, emissions control, regulatory compliance, and workforce safety.
As global chemical producers pursue digital transformation, the leaders will be organizations that scale secure, interoperable, and outcome-led IoT programs across sites. Chemical companies that integrate IoT with AI, sustainability reporting, process safety management, and operational excellence will be better positioned to manage volatility, meet compliance expectations, strengthen supply-chain visibility, and capture long-term productivity gains.
Table of Contents
1. Preface
- 1.1. Objectives of the Study
- 1.2. Market Definition
- 1.3. Market Segmentation & Coverage
- 1.4. Years Considered for the Study
- 1.5. Currency Considered for the Study
- 1.6. Language Considered for the Study
- 1.7. Key Stakeholders
2. Research Methodology
- 2.1. Introduction
- 2.2. Research Design
- 2.2.1. Primary Research
- 2.2.2. Secondary Research
- 2.3. Research Framework
- 2.3.1. Qualitative Analysis
- 2.3.2. Quantitative Analysis
- 2.4. Market Size Estimation
- 2.4.1. Top-Down Approach
- 2.4.2. Bottom-Up Approach
- 2.5. Data Triangulation
- 2.6. Research Outcomes
- 2.7. Research Assumptions
- 2.8. Research Limitations
3. Executive Summary
- 3.1. Introduction
- 3.2. CXO Perspective
- 3.3. Market Size & Growth Trends
- 3.4. Market Share Analysis, 2025
- 3.5. FPNV Positioning Matrix, 2025
- 3.6. New Revenue Opportunities
- 3.7. Next-Generation Business Models
- 3.8. Industry Roadmap
4. Market Overview
- 4.1. Introduction
- 4.2. Industry Ecosystem & Value Chain Analysis
- 4.2.1. Supply-Side Analysis
- 4.2.2. Demand-Side Analysis
- 4.2.3. Stakeholder Analysis
- 4.3. Market Dynamics
- 4.3.1. Key Drivers
- 4.3.2. Key Restraints
- 4.3.3. Key Opportunities
- 4.3.4. Key Challenges
- 4.4. Porter's Five Forces Analysis
- 4.5. PESTLE Analysis
- 4.6. Market Outlook
- 4.6.1. Near-Term Market Outlook (0-2 Years)
- 4.6.2. Medium-Term Market Outlook (3-5 Years)
- 4.6.3. Long-Term Market Outlook (5-10 Years)
- 4.7. Go-to-Market Strategy
5. Market Insights
- 5.1. Consumer Insights & End-User Perspective
- 5.2. Consumer Experience Benchmarking
- 5.3. Opportunity Mapping
- 5.4. Distribution Channel Analysis
- 5.5. Pricing Trend Analysis
- 5.6. Regulatory Compliance & Standards Framework
- 5.7. ESG & Sustainability Analysis
- 5.8. Disruption & Risk Scenarios
- 5.9. Return on Investment & Cost-Benefit Analysis
6. Cumulative Impact of Artificial Intelligence 2026
7. IoT in Chemical Market, by Component
- 7.1. Hardware
- 7.1.1. Sensors
- 7.1.1.1. Temperature Sensors
- 7.1.1.2. Pressure Sensors
- 7.1.1.3. Flow Sensors
- 7.1.1.4. Vibration Sensors
- 7.1.2. Actuators
- 7.1.3. Gateways
- 7.1.1. Sensors
- 7.2. Software
- 7.2.1. IoT Platforms
- 7.2.2. Analytics Software
- 7.2.3. Cloud Solutions
- 7.2.4. Security Software
- 7.3. Services
- 7.3.1. Consulting Services
- 7.3.2. Maintenance & Support
- 7.3.3. Managed Services
8. IoT in Chemical Market, by Connectivity Technology
- 8.1. Wired
- 8.2. Wireless
- 8.2.1. Bluetooth
- 8.2.2. Cellular
- 8.2.3. Wi-Fi
9. IoT in Chemical Market, by Deployment Mode
- 9.1. On-Premise
- 9.2. Cloud
- 9.3. Hybrid
10. IoT in Chemical Market, by Connectivity Technology
- 10.1. Wi-Fi
- 10.2. Bluetooth
- 10.3. Zigbee
- 10.4. Cellular
11. IoT in Chemical Market, by Application
- 11.1. Asset Monitoring & Management
- 11.1.1. Equipment Tracking
- 11.1.2. Predictive Maintenance
- 11.1.3. Remote Monitoring
- 11.2. Process Optimization
- 11.2.1. Chemical Production Efficiency
- 11.2.2. Energy Management
- 11.3. Safety & Compliance
- 11.3.1. Hazardous Chemical Monitoring
- 11.3.2. Environmental Compliance
- 11.3.3. Worker Safety Systems
- 11.4. Supply Chain & Logistics
- 11.4.1. Inventory Management
- 11.4.2. Smart Warehousing
- 11.5. Quality Control
- 11.6. Research & Development
12. IoT in Chemical Market, by End User Industry
- 12.1. Chemicals & Petrochemicals
- 12.1.1. Bulk Chemicals
- 12.1.2. Specialty Chemicals
- 12.2. Food & Beverage
- 12.3. Mining
- 12.4. Oil & Gas
- 12.5. Pharmaceuticals
- 12.6. Agrochemicals
13. IoT in Chemical Market, by Region
- 13.1. Asia-Pacific
- 13.2. North America
- 13.3. Latin America
- 13.4. Europe
- 13.5. Middle East
- 13.6. Africa
14. IoT in Chemical Market, by Group
- 14.1. ASEAN
- 14.2. GCC
- 14.3. European Union
- 14.4. BRICS
- 14.5. G7
- 14.6. NATO
15. IoT in Chemical Market, by Country
- 15.1. United States
- 15.2. Canada
- 15.3. Mexico
- 15.4. Brazil
- 15.5. United Kingdom
- 15.6. Germany
- 15.7. France
- 15.8. Russia
- 15.9. Italy
- 15.10. Spain
- 15.11. China
- 15.12. India
- 15.13. Japan
- 15.14. Australia
- 15.15. South Korea
16. Competitive Landscape
- 16.1. Market Concentration Analysis, 2025
- 16.1.1. Concentration Ratio (CR)
- 16.1.2. Herfindahl Hirschman Index (HHI)
- 16.2. Recent Developments & Impact Analysis, 2025
- 16.3. Product Portfolio Analysis, 2025
- 16.4. Benchmarking Analysis, 2025
17. Company Profiles
- 17.1. ABB Ltd
- 17.2. Accenture PLC
- 17.3. Amazon Web Services Inc
- 17.4. Aspen Technology Inc
- 17.5. Augury Inc
- 17.6. BASF SE
- 17.7. Cisco Systems Inc
- 17.8. Cognite AS
- 17.9. Dow Inc
- 17.10. Emerson Electric Co.
- 17.11. HCL Technologies Limited
- 17.12. Hitachi Ltd
- 17.13. Honeywell International Inc
- 17.14. Huawei Technologies Co Ltd
- 17.15. Intel Corporation
- 17.16. International Business Machines Corporation
- 17.17. Litmus Automation Inc
- 17.18. Microsoft Corporation
- 17.19. Mitsubishi Electric Corporation
- 17.20. Oracle Corporation
- 17.21. PTC Inc
- 17.22. Robert Bosch GmbH
- 17.23. Rockwell Automation Inc
- 17.24. SAP SE
- 17.25. Schneider Electric SE
- 17.26. Seeq Corporation
- 17.27. Siemens AG
- 17.28. Tata Consultancy Services Limited
- 17.29. Yokogawa Electric Corporation
