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[1]
Apple trumps Samsung in India; ETtech Done Deals
Hefty prices and market build-up help widen Apple's India revenue lead. This and more in today's ETtech Top 5. Also in this letter: ■ Q-comm 24/7 holiday expansion ■ Ola Electric shares surge 6% ■ Upskilling to utilise AI Apple has increased its revenue advantage in mobile phones over Samsung
[2]
Govt's queries on q-comm; Piyush Goyal at The ET Startup Awards ceremony
The government is attempting to understand the ownership structures of foreign-funded quick commerce firms and their dark stores. This and more in today's ETtech Morning Dispatch. Also in the letter: ■ Ex-Cleartrip CEO to float premium q-comm firm ■ Lightspeed to invest in Qure.AI ■ Why E2E
[3]
Govt to track q-comm sales; Blinkit, Zepto take up fashion order returns
Happy Monday! The government is exploring using transaction data from quick commerce platforms to gauge shifts in consumer spending habits. This and more in today's ETtech Morning Dispatch. Also in the letter: ■ Software solutions co Tally's finserv play ■ OpenAI's o1 leap ■ Byju's US lenders
[4]
Earnings boost from AI, ML; public Wi-Fi scheme stalled
Familiarity with emerging technologies such as AI and ML has boosted the earnings of B.Tech graduates. This and more in today's ETtech Top 5. Also in this letter: ■ Inter-dept panel for gaming rules ■ Flipkart Big Billion Days sale ■ Lending firms utilise Account Aggregator framework A skill
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A comprehensive look at recent developments in India's tech sector, including Apple's market dominance, government scrutiny of quick commerce players, and the growing influence of AI in various industries.

In a significant shift in India's smartphone market, Apple has surpassed Samsung to become the leader in revenue for the July-September quarter. This marks the first time Apple has achieved this milestone in India, with the company capturing 41% of the market revenue compared to Samsung's 35%
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. The success is attributed to the strong performance of the iPhone 15 series and older models like the iPhone 14 and 13.The Indian government has intensified its focus on the quick commerce sector, seeking details on foreign direct investment (FDI) from major players. The Department for Promotion of Industry and Internal Trade (DPIIT) has requested information from companies like Swiggy's Instamart, Zomato's Blinkit, Zepto, and Reliance-backed Dunzo regarding their shareholding patterns, business models, and inventory management practices
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.This move comes as the government aims to ensure compliance with FDI norms in the rapidly growing quick commerce sector. The scrutiny extends to understanding how these companies manage their dark stores and whether they operate on an inventory-led model, which could potentially violate FDI regulations
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.The integration of artificial intelligence (AI) and machine learning (ML) technologies is significantly impacting various industries, particularly in enhancing earnings and operational efficiency. Companies across sectors are reporting substantial benefits from AI and ML implementations:
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.These figures underscore the growing importance of AI and ML in driving innovation and revenue growth across India's tech landscape.
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Despite the potential for widespread connectivity, India's ambitious PM-WANI (Prime Minister Wi-Fi Access Network Interface) scheme has faced significant hurdles. Launched in December 2020, the program aimed to establish millions of public Wi-Fi hotspots across the country. However, progress has been slow, with only about 100,000 access points set up so far
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.The scheme's implementation has been hampered by various factors, including low incentives for small shop owners to become Wi-Fi providers and competition from affordable mobile data plans. This situation highlights the challenges in bridging the digital divide and expanding internet access in India, especially in rural and semi-urban areas.
In an interesting development within the quick commerce sector, platforms like Blinkit and Zepto are expanding their services to include fashion items. However, this expansion comes with its own set of challenges, particularly in managing product returns. Unlike groceries, fashion items have a higher likelihood of returns, which could impact the operational efficiency of these platforms
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.As these companies navigate this new territory, they will need to develop robust systems for handling returns while maintaining the quick turnaround times that define the quick commerce model. This expansion into fashion represents both an opportunity for growth and a test of adaptability for the quick commerce industry in India.
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