Indonesia Smart Home Market is Expected to Reach USD 6.89 Billion by 2030

12-Nov-2024

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The government incentives in the region coupled with rising disposable incomes across the region are driving the Indonesia smart home market demand during the forecast period.

The Indonesia Smart Home Market size was valued at USD 1.31 billion in 2023, and is predicted to reach USD 6.89 billion by 2030, at a CAGR of 26.8% from 2024 to 2030, according to new research by Next Move Strategy Consulting.

Government incentives and increasing awareness of eco-conscious living are driving consumers to adopt smart home solutions such as energy-efficient lighting, smart thermostats, and solar panels. These technologies empower homeowners to monitor and reduce energy consumption, aligning with sustainability goals and reducing carbon emissions.

In 2022, MPCT Indonesia announced a comprehensive mission, including support for decarbonization efforts to cut emissions by 50% and achieve the country's NDC target. Their objectives also involve fostering green business unicorns, establishing a network of influential leaders committed to sustainable growth, and empowering change agents to lead sustainability initiatives. As Indonesia prioritizes green initiatives, smart homes emerge as significant contributors to energy efficiency and a cleaner future, driving their demand in the Indonesia smart home market.

The flourishing Indonesian economy, coupled with rising disposable incomes, provides a conducive environment for the expansion of the smart home market. According to the Asian Development Outlook (ADO) 2022, Indonesia's economic landscape reflects a consistent upward trend in consumer spending and manufacturing activity, driven by increased incomes, job opportunities, and enhanced consumer confidence.

Additionally, the investment sector is experiencing notable gains due to surging demand, an improved business environment, and enhanced credit availability. With Indonesians enjoying greater purchasing power and economic optimism, the appeal of innovative and convenient home appliances, including smart home devices, is steadily increasing.

However, the widespread adoption of interconnected systems introduces vulnerabilities, particularly with smart devices such as thermostats, cameras, and door locks being susceptible to hacking. These security risks often arise from weak passwords and inadequate Wi-Fi network security measures, providing opportunities for hackers to gain unauthorized access and compromise residents' privacy and safety by manipulating devices or accessing sensitive data.

Conversely, blockchain technology, renowned for its robust security and transparent features, includes significant potential to enhance the security and privacy of smart home systems. By encrypting and securely storing data, blockchain enables users to regulate access and reduces the risk of unauthorized intrusion. It also verifies device identities, ensuring only trusted devices interact within the network, and facilitates tasks through tamper-proof smart contracts. Moreover, blockchain decentralizes device control, addressing vulnerabilities and simplifying access management. Its integration into smart homes enhances security and privacy, creating a safer environment and driving Indonesia smart home market growth.

Request for a sample here: https://www.nextmsc.com/indonesia-smart-home-market/request-sample

Several key players operating in the Indonesia smart home industry include Honeywell International, Inc., Schneider Electric, ABB Ltd, Amazon, Samsung, LG Electronics, Google Home, Hitachi, Ltd, Xiaomi Inc., Sony Corporation.

Key Insights from the Indonesia Smart Home Market Report:

  • The information related to key drivers, restraints, and opportunities and their impact on the Indonesia smart home market is provided in the report.

  • The value chain analysis in the market study provides a clear picture of the roles of each stakeholder.

  • The market share of key players in the Indonesia smart home market is provided in the report along with their competitive analysis.

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