Thanks to brands like Casper and Warby Parker, the direct-to-consumer (DTC) business model has taken off. You only have to look as far as LUMA Partners’ direct-to-consumer LUMAscape to see that the model is booming. eMarketer estimates that 400+ DTC brands exist today, and traffic to their websites has almost doubled in the past two years.
Spanning categories like apparel, beauty, personal care, baby, pets, travel and financial services, they’re growing at an exponential clip, and established consumer brands are taking note. The findings show that B2Cs are very concerned about DTCs impacting their marketshare, and that DTCs are concerned about the next steps for their business.
As DTCs gain authority in their respective industries, they pose a threat to established brands. According to Euromonitor, Gillette controlled ~70% of the U.S. market a decade ago, but their marketshare dropped below 50% last year, due to disruptive brands like Harry’s and Dollar Shave Club. With DTCs’ emergence comes an opportunity to adapt and adjust—for both kinds of brands.
By digging into how these businesses changed the game, marketers of all stripes can stand a fighting chance at sustainable growth in the new DTC world.
Thanks to their various and evolving business models, DTCs can be tricky to pin down. But these characteristics can help you spot most of them:
- Digitally native
- Innovative, disruptive brand storytelling
- Bypassing traditional supply chains
- Customization in product and experience
- Upending established products and
- services in their category
- Minimal offerings (intent that the same
- few products work for all)
- Centered on convenience (e.g., delivery,
- online sales, recurring payments)
As DTCs look to improve customer experiences and engage in all relevant channels, our research finds that more will consider moving away from a pure DTC approach. One of the ways this will manifest is by more DTCs moving toward a non-DTC model, and established brands attempting a DTC model.
Wearable AI Market size surpassed USD 35 billion with demand of more than 150 million units in 2018 and is set to register CAGR of around 30% from 2019 to 2025.
The wearable AI market growth is attributed to rising proliferation of advanced technologies including AI and 5G smartphone penetration. Smartphones are widely used for gathering and analysis of data collected from wearable devices. The exponential growth of the smartphone market has augmented the development of android & IoT-enabled responsive and user-friendly wearable device apps. Other factors accelerating market growth are the rapid urbanization and rising disposable income in developing economies, which dictate the wearable technology future trends.
With rapid industrialization and rising employment in service-based industries, there has been a fundamental shift in consumer spending patterns toward consumer electronics products such as fitness & health monitoring smart wearables.
The technology companies including Microsoft, Apple, Google, and other established players are expanding their market share with the introduction of new smart wearables, fueling market growth.
Read more: https://www.gminsights.com/industry-analysis/wearable-ai-market
Magic Leap inked a deal with NTT DoCoMo, Japan’s largest mobile operator, which will be the exclusive telecom partner of Magic Leap in Japan. Under the partnership, NTT DoCoMo is investing $280 million in the augmented-reality computing company.
Magic Leap has now raised a whopping $2.6 billion in funding to date. Other investors include the Kingdom of Saudi Arabia, AT&T, Google, Alibaba Group, Warner Bros., Legendary Entertainment, Vulcan Capital, Kleiner Perkins Caufield & Byers, and Andreessen Horowitz.
READ will help millions of borrowers to get out of the student debt trap. READ is the only provider in the market that offers a relevant and holistic risk assessment geared towards young student debt holders.
READ at the core is a risk manager. We put emphasis on the future earnings potential, the lower risk of unemployment & disability, the high degree of flexibility and behavioral factors of our young audience. As such READ does not rely on interest rates or credit scores. Once integrated into a financial product, READ offers a unique solution compromising of:
- an individually customized & adjustable payment plan tailored to each individual’s circumstances;
- an integrated savings plan, creating emergency funds and long-term savings;
- an embedded insurance pool, offering protection against unemployment and disability; and
- a financial wellness & planning tool to coach and incentivize borrowers.
We have invested well over 4000 hours in researching the market opportunity and identified a target audience of 5.6 million borrowers that would immediately qualify and benefit from our solution.
It is projected that by 2020, 1.7 megabytes of data will be generated for every person in the world, every single second; and the proportion of data that needs to be protected is growing faster than the digital universe itself. All the data coming in large volumes from different places is called Big Data.
Big data basically means sets of structured or unstructured data whose volumes are so large and so complex that traditional data processing software cannot process them within a reasonable amount of time. The information mined from these sets are then analyzed and put to good use. Big data involves more than just the volume and complexity of data, however. Doug Laney laid out the definition of big data in 3 V’s.