Real Estate Technology Funding by Round – Q3 2017

The following two graphs summarize the rounds of funding going into the Real Estate Technology space. Please note these graphics are made using data through June 2017.

Real Estate Technology Funding Amount by Round
Real Estate Technology Funding Amount by Round

The graph above shows the total amount of VC funding broken out by round. From 2006 to 2016, we saw a sharp increase in the overall sector funding, with the total amount peaking in 2015 and then declining thereafter. Early and late stage funding round events (Series A, B, and Late Stage) have accounted for a substantial amount of total funding.

Real Estate Technology Funding Count by Round
Real Estate Technology Funding Count by Round

The graph above shows the total count of funding events broken out by round. The general trend over the past few years has been a substantial number of funding events in the Seed stage and a fewer number in the Series A stage, with the funding events in the later stages quickly dropping off.

We are currently tracking 1534 Real Estate Technology companies in 12 categories across 62 countries, with a total of $43.3 Billion in funding. Click here to learn more about the full Real Estate Technology market report.

Future of TV Companies Founded by Year – Q3 2017

The following graph shows the founding year distribution in the Future of TV sector. The graphic includes data through May 2017.

Future of TV Companies Founded by Year
Future of TV Companies Founded by Year

The above graph summarizes the number of Future of TV companies founded in a certain year. 2011 ranks at the top with around 89 companies founded in that year alone. 2012 and 2007 are the runner-ups with 81 and 75 companies founded in those years, respectively.

We are currently tracking 784 Future of TV companies in 11 categories across 41 countries, with a total of $24.6 Billion in funding. Click here to learn more about the full Future of TV market report.

Age by Category in Retail Technology – Q3 2017

The following graph shows average and median age in the Retail Technology sector. The graphic includes data through September 2017.

Retail Technology Age by Category
Retail Technology Age by Category

The above graph summarizes the average age and median age of companies in each Retail Technology category. The Daily Deals category ranks as the most mature Retail Technology category with an average age of around 11 years and a median age of 8 years. Made to Measure Customization comes in as the second oldest category, with a average age of around 10 years and a median age of 8 years. On the other hand, Last Mile Logistics is the youngest Retail Technology category with an average age and a median age of around 5 years each.

We are currently tracking 1673 Retail Technology companies in 22 categories across 58 countries, with a total of $51.7 Billion in funding. Click here to learn more about the full Retail Technology market report.

Transportation Technology Exits by Category and by Year – Q3 2017

The following graphs highlight the exit activity in the Connected Transportation sector. The graphics include data through August 2017.

Transportation Technology Exit Activity by Category
Transportation Technology Exit Activity by Category

The above graph summarizes the number of exits (acquisitions and IPOs) in each Transportation Technology category. The Telematics category is leading the sector with 38 acquisitions and 9 IPOs. The Mapping category is the runner-up with 29 acquisitions and 6 IPOs.

Transportation Technology Exit Activity by Year
Transportation Technology Exit Activity by Year

The above graph summarizes the number of exits (acquisitions and IPOs) in Transportation Technology by year. 2016 leads the sector with 37 acquisitions and 3 IPOs, with 2015 in the second place with 24 acquisitions.

We are currently tracking 1157 Transportation Technology companies in 17 categories across 66 countries, with a total of $85.3 Billion in funding. Click here to learn more about the full Transportation Technology market report.

Blockchain Technology Funding by Round – Q3 2017

The following two graphs summarize the rounds of funding going into the Blockchain Technology space. Please note these graphics are made using data through September 2017.

Blockchain Technology Funding Amount by Round
Blockchain Technology Funding Amount by Round

The graph above shows the total amount of VC funding broken out by round. From 2010 to 2016, we saw a sharp increase in the overall sector funding, with the total amount peaking in 2015 and then declining thereafter. Early to mid-stage funding type events (Seed, Series A, B, and C) have accounted for a substantial amount of total funding.

Blockchain Technology Funding Count by Round
Blockchain Technology Funding Count by Round

The graph above shows the total count of funding events broken out by round. The general trend over the past few years has been a substantial number of funding events in the Seed stage and a fewer number in the Series A stage, with the funding events in the later stages quickly dropping off.

We are currently tracking 948 Blockchain Technology companies in 12 categories across 74 countries, with a total of $3.7 Billion in funding. Click here to learn more about the full Blockchain Technology market report.

Artificial Intelligence Companies Founded by Year – Q3 2017

The following graph shows the founding year distribution in the Artificial Intelligence sector. The graphic includes data through July 2017.

Artificial Intelligence Companies Founded by Year
Artificial Intelligence Companies Founded by Year

The above graph summarizes the number of Artificial Intelligence companies founded in a certain year. 2014 ranks at the top with around 259 companies founded in that year alone. 2013 is the runner-up with 244 companies founded in that year.

We are currently tracking 1942 Artificial Intelligence companies in 13 categories across 70 countries, with a total of $23 Billion in funding. Click here to learn more about the full Artificial Intelligence market report.

Retail Tech Market Overview and Innovation Quadrant – Q3 2017

The following post highlights how Venture Scanner categorizes the Retail Technology startup landscape, and presents our Innovation Quadrant showing how those categories compare to one another. The data for this post is through September 2017.

Retail Tech Q3 2017 Logo Map

The above sector map organizes the sector into 22 categories and shows a sampling of companies in each category.

Retail Tech Q3 2017 Innovation Quadrant

Our Innovation Quadrant provides a snapshot of the average funding and average age for the different Retail Tech categories and how they compare with one another.

  • Heavyweights: These categories are comprised of companies that have reached maturity with significant financing.
  • Established: These categories are comprised of companies that have reached maturity with less financing.
  • Disruptors: These categories are comprised of companies that are less mature with significant financing.
  • Pioneers: These categories are comprised of companies that are less mature with earlier stages of financing.

The definitions of the Retail Tech categories are as follows

Automated Personalization Platforms: Companies that work with retailers to deliver custom ads, marketing messages, and dynamically optimize site pages for different users. Examples include platforms that allow A/B testing and platforms that tailor websites to each individual user’s specific tastes.

Coupons: Companies that focus on both traditional and digital merchant coupons.

Data and Analytics: Companies that help with the acquisition, organization, and distribution of data that companies can then utilize to enhance their applications and service offerings. Includes inventory management software.

Infrastructure and Enablers: Companies that provide tools designed to help developers increase functionality in their existing products. Examples include payment integration, native smartphone applications, and website development.

In-Store Experience: Companies that enable brick and mortar retailers to enhance the customer journey through digital engagement, mobile-first initiatives, gamification, and more.

In-Store Management: Companies that aim to improve the productivity of brick and mortar sales associates. Examples include productivity apps that track their effectiveness in-store as well as apps that provide them with insights to better do their jobs.

Last Mile Logistics: Companies that are innovating on the last phase of the supply chain, from the store/warehouse to the consumer.

Local Advertising Technology: Companies that alert the consumer of a retail product or service. The advertising models in the O2O market often center around targeted ads, real-time mobile ads, retargeting, dynamic ads based on proximity to clear inventory, ads targeted based on check-ins or social comments, and in-store up-sell ads.

Local Daily Deals: Companies that sell locally available, pre-paid vouchers for steeply discounted goods and services. This category also includes daily deal aggregators.

Local Incentives: Companies that help stores increase loyalty, customer base, and revenue from both new and repeat customers through deals, local offers, discounts, frequency rewards, gamified badges, and other techniques.

Loyalty Programs: Products that provide or power a merchant’s reward / loyalty program. Examples include digital frequent shopper cards, and tailored rewards based on spending.

Made-to-Measure Customization: Companies that use proprietary technologies and supply chain processes to enable shoppers to create custom goods. Examples include clothing fitted to exact specifications.

Marketing Platforms and Customer Relationship Management: Companies that enable merchants / brands to engage with their customers across social media channels, and execute and manage marketing campaigns. This category also includes customer relationship management tools used to improve customer communication, tracking, and overall relations.

Online to Offline Payments: Companies that are changing the way we pay for goods. In addition to payment execution, this also includes companies that provide consumers with a mobile wallet (e.g. payment information, loyalty cards) or other digital storage functionality (e.g. receipts).

Physical Store Analytics and Indoor Mapping: Companies that use sensors, cameras, and mobile devices to provide retailers more data about customer behavior in-store such as window conversion rate, customer dwell time, optimal shelf placement, and ideal store hours. These companies help retailers optimize the customer experience to increase revenue.

Point of Sale Payments: Companies centered around payment acquirers, providing physical payment solutions for brick-and-mortar businesses and organizations. Examples include mobile point-of-sales (POS) systems and POS innovations (e.g. QR code, palm scanners).

Price and Feature Comparison: Companies that empower consumers to compare product prices at different outlets or compare features across similar products (e.g. scan and engage capabilities for QR codes, bar codes, or physical items to bring up product information and comparisons in real-time).

Product Recommendation: Companies that use crowdsourced data, individual stylists, and/or automated algorithms to determine the best products for a given shopper based on their individual preferences.

Retail Augmented Reality: Companies that enable consumers to interact with products using augmented reality (e.g. virtual manipulation).

Retargeting: Companies that use cookie data to follow online users and serve dynamic, relevant ads all over the web.

Search and Local Availability: Companies that provide the means by which consumers can search and/or compare local availability of products and prices. This includes innovations such as store-level inventory searches and local comparisons.

Social Discovery: Companies that allow for discovery of products through social sharing and location check-ins. Examples include discovery social networks as well as platforms with integrated ecommerce functions.

We are currently tracking 1,670 Retail Tech companies in 22 categories across 58 countries, with a total of $51 Billion in funding. Click here to learn more about the full Retail Technology market report.