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.

Internet of Things Funding Trends – Q3 2017

The following graphs highlight recent trends in Internet of Things (IoT) startup funding activity. The graphics include data through August 2017.

IoT Q3 2017 Funding by Year

The above graph summarizes the total funding raised by IoT startups for each year. 2014 has the most funding to date at just under $7B.

IoT Q3 2017 Vintage Year Funding

The above graph summarizes the total amount of funding raised by IoT companies founded in a certain year. Companies founded in 2012 have raised the most funding around $3.6B.

We are currently tracking 1,998 IoT companies in 20 categories across 52 countries, with a total of $39 Billion in funding. Click here to learn more about the full Internet of Things market report.

Where in the world are Financial Technology startups? Q3 2017

The analyses below summarize where Financial Technology (Fintech) innovations are occurring. The graphic includes data through July 2017.

Fintech Q3 2017 Company Count by Country

The above map shows the number of Fintech companies located in different countries. The United States ranks as the top country with around 1125 companies.

Fintech VC Funding by Country Q3 2017

The above map shows the amount of total Fintech startup venture capital funding in different countries. The United States has the most VC funding at around $35B.

We are currently tracking 2,305 Fintech companies in 16 categories across 64 countries, with a total of $75B in funding. Click here to learn more about the full Financial Technology startup market report.

Venture Investing in Energy Technology – Q3 2017

The following graphs highlight venture investing trends into the Energy Technology sector. The graphics include data through June 2017.

Energy Tech Q3 2017 Venture Investing

The above graph compares the total venture funding in each Energy Tech category to the number of companies in the category. The Solar Energy category leads in both metrics, with a funding of around $18B and over 160 companies.

Energy Tech Q3 2017 Average Funding by Category

The above analysis summarizes the average company funding in each Energy Technology category. The Geothermal Energy category leads the sector with over $180M in average funding per company, followed by the Solar Energy and Wind Energy categories.

We are currently tracking 763 Energy Technology companies in 12 categories across 48 countries, with a total of $58 Billion in funding. Click here to learn more about the full Energy Technology market report.

Real Estate Technology Activity by Selected Investors – Q3 2017

The following graph summarizes investor activity in the Real Estate Technology space. Please note these graphics are made using data through June 2017.

Real Estate Technology Q3 2017 Investor Activity

The above analysis summarizes the total number of investment rounds Real Estate Tech investors participated in, and the number of unique companies funded by those investors. Major investors into the space include 500 Startups, Sequoia Capital, Accel Partners, Y Combinator, and Techstars.

We are currently tracking 1,531 Real Estate Tech companies in 12 categories across 62 countries, with a total of $43 Billion in funding. Click here to learn more about the full Real Estate Technology market report.

Future of TV Funding Trends – Q3 2017

The following graphs highlight recent trends in Future of Television (TV) startup funding activity. The graphics include data through May 2017.

Future of TV Q3 2017 Funding by Year

The above graph summarizes the total funding raised by Future of TV startups for each year. 2016 has the most funding to date at just under $4.5B.

Future of TV Q3 2017 Vintage Year Funding

The above graph summarizes the total amount of funding raised by Future of TV companies founded in a certain year. Companies founded in 2011 have raised the most funding around $3.7B.

We are currently tracking 781 Future of TV companies in 11 categories across 42 countries, with a total of $25 Billion in funding. Click here to learn more about the full Future of Television market report.

Where in the world are Retail Technology startups? Q3 2017

The analyses below summarize where Retail Technology innovations are occurring. The graphic includes data through April 2017.

Retail Tech Q3 2017 Company Count by Country

The above map shows the number of Retail Tech companies located in different countries. The United States ranks as the top country with around 900 companies.

Retail Tech Q3 2017 VC Funding by Country

The above map shows the amount of total Retail Tech startup venture capital funding in different countries. The United States has the most VC funding at around $28B.

We are currently tracking 1,699 Retail Tech companies in 22 categories across 58 countries, with a total of $51B in funding. Click here to learn more about the full Retail Technology startup market report.