APAC Market Statistics
The Asia Pacific trusted platform module (TPM) market, amongst the market in all the other regions, is projected to hold the largest market share by the end of 2036. The growth of the market can be attributed majorly to the rapidly growing rate of industrialization, and rising penetration of e-commerce services in the region which is further estimated to hike the sales volume of laptops and PC. Online shopping allows better delivery of electronic products in rural areas as well which is estimated to add a large customer pool. Since the beginning of the pandemic, six Southeast Asian countries have added more than 65 million online shoppers. The number of people shopping online in Southeast Asia is estimated to reach a value of about 350 million by 2026. In addition, an upsurge in the adoption of IoT services is also expected to fuel market growth in the region in the coming years. Spending on IoT services in the Asia Pacific region is also observed to grow on the back of the higher inclination of the population towards the use of the internet. For instance, in 2019, approximately USD 150 billion were spent on the Internet of Things while India and South Korea were anticipated to spend on IoT nearly USD 20 billion and USD 25 billion in a similar year.
North American Market Forecast
The North America trusted platform module (TPM) market, amongst the market in all the other regions, is projected to hold the second largest share during the forecast period. The growth of the market can be attributed majorly to the increasing developments in digital technologies, and escalating demand for secured systems in the region backed by the rising cases of cyber-attacks in the region. This significant surge in cyber-attacks is expected to cost a notable amount of money from businesses. For instance, in 2022, approximately USD 12 million were cost by around 11,000 incidents of phishing attacks in the United States. Hence, such a higher prevalence of cyber-attacks is projected to expand the market size in the region over the forecast period.
Author Credits: Abhishek Verma
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