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Multiexperience (MXDP) Platforms in 2024: Tools & Examples

Updated on Jan 18
4 min read
Written by
Cem Dilmegani
Cem Dilmegani
Cem Dilmegani

Cem is the principal analyst at AIMultiple since 2017. AIMultiple informs hundreds of thousands of businesses (as per Similarweb) including 60% of Fortune 500 every month.

Cem's work focuses on how enterprises can leverage new technologies in AI, automation, cybersecurity(including network security, application security), data collection including web data collection and process intelligence.

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Researched by
Mert Palazoğlu
Mert Palazoğlu
Mert Palazoğlu
Mert Palazoglu is an industry analyst at AIMultiple focused on customer service and network security with a few years of experience. He holds a bachelor's degree in management.
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Digital touchpoints are increasing with the development of wearable devices, natural language-based UI as well as AR and VR. Organizations need to satisfy customer demand in every touchpoint relevant to their businesses in a cost-effective manner.

Multiexperience development platforms help businesses trade off between ease of development vs scalability and custom functionality. These platforms simplify creating apps that work on various touchpoints and devices, allowing companies to test and improve their user experience on a new platform with limited investment. Once the requirements of the app for this new platform reach a certain level of complexity, companies can decide to build custom, platform-specific apps.

What is multiexperience development?

Multiexperience development (MXDP) aims to improve our digital experiences on different devices or touchpoints. As technological advancements continue, modes of human-machine interaction increase. Besides typing, touching, and chatting, users can also use their voices or gestures in 3D or virtual environments.

Gartner defines the term multiexperience as:

Multiexperience refers to the various permutations of modalities (e.g., touch, voice and gesture), devices and apps that users interact with on their digital journey across the various touchpoints.

With multiexperience development platforms, citizen developers (i.e. business users without an in-depth knowledge of computer science) can quickly build fit-for-purpose apps that connect with users across various digital touchpoints such as web, mobile, wearables, chatbots, augmented reality (AR), and virtual reality (VR).

Why is it important now?

As new digital touchpoints start to become widely available, customers start to demand experiences in new digital touchpoints. This leads enterprises to invest in platforms that enable them to easily develop these digital touchpoints.

The rising development of mobile apps (Figure 1) led enterprises to search for development platforms to facilitate building mobile apps. This led to the rise of mobile application development platforms (MADP). With the increasing importance of new devices such as wearables or new interfaces such as natural language, there is a similar demand for MXDPs.

Figure 1. Available apps in the Apple App Store from 2008 to 2021

Source: Statista

The need for multiexperience platforms will only increase as the number of apps, devices, and modes of interaction increases. As customers own devices with new modes of interaction, demand for such services increases. The use of wearable, conversational, and immersive devices and apps is increasing according to various sources:

  • Connected wearable devices worldwide: 526 million
  • Expected number of VR and AR devices is going to be sold in 2021: 52 million

Multiexperience development is one of the key drivers in digital transformation. Businesses invest in multiexperience platforms to build multi-channel apps cost-effectively to continue their digital transformation journey. By 2021, at least one-third of enterprises will have deployed a multiexperience development platform according to Gartner.

What are the technologies used in multiexperience development platforms (MXDP)?

Visual & touch interfaces are already quite established and are necessary for most B2C applications. The ones below are newer platforms and developers need to consider whether to leverage them in their new applications since not all of these technologies are relevant for all applications.

Chatbots (Conversational UI): Software that enables people to get information from machines in a natural, conversational way using text and voice. For example, automotive companies use chatbots like Kia’s Kian, which can answer customers’ questions and increase conversion rates.

Augmented realityAR devices enhance the view of the real-world environment with computer-generated data. For example, Qwake Technologies has created a smoke-diving helmet for firefighters to get in and out of dangerous situations faster with clear vision.

Virtual reality: VR is a simulated visual environment that is generated by computer technology. In this reality, a person can interact with objects and perform a sequence of actions. For example, Playstation VR is a virtual reality headset that allows users to have an interactive role in a game environment.

Wearable: Wearables are smart electronic devices built to be worn on the user’s body where they can interact with a smartphone app. Includes Bluetooth headsets and smartwatches.

What are multiexperience examples?

Domino’s Anyware™ is one of the best-known brands that utilize multiexperience to enable customers to interact with their brand from any device or app they want.

Figure: Domino’s Anywhere buttons

Devices& apps you can order pizza include:

  • Google Home
  • Alexa
  • Slack
  • Messenger
  • Zero Click
  • Text
  • Tweet
  • Car
  • Smart TV
  • Voice Assistants
  • Smart Watch

What are the benefits of MXDP?

  • These platforms can enhance collaboration among IT and business teams in the process of building, designing, and managing apps and customer experiences.
  • Companies can quickly develop applications for new digital touchpoints and platforms
    • As developers’ productivity increases across multiple touchpoints due to high-productivity tooling and common development languages, businesses’ app delivery time decreases.
    • The platform provides continuous improvement and shorter release cycles by optimizing DevOps practices and tooling.
    • Core back-end services are portable and reusable, which decreases the cost of developing an app at any touchpoint.

What are the risks of MXDP?

  • Due to the reliance on the platform to support multiple touchpoints, there is vendor lock-in risk.
  • Tech teams may need to modify existing development tooling and DevOps practices to be able to fully take advantage of an MXDP and develop multiexperience applications with limited investment

What are the leading multiexperience development platforms?

To qualify as a multiexperience platform, a solution should have the capabilities to develop:

  • Mobile and web apps, including iOS and Android native mobile apps
  • Progressive web apps, and responsive web apps
  • Smartphone and tablet apps
  • Wearable, AR/VR, IoT, AI apps.

Some MXDPs include:

  • Appian
  • GeneXus
  • IBM
  • Kony
  • Mendix
  • Microsoft
  • Oracle
  • Outsystems
  • Pega
  • Progress
  • Salesforce
  • SAP
  • ServiceNow

For more on multiexperience development:

Here is AIMultiple’s data-driven analysis of in-depth conversational bots guide and low-code development.

Contact us about how multiexperience development platforms can help your business.

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Cem Dilmegani
Principal Analyst

Cem is the principal analyst at AIMultiple since 2017. AIMultiple informs hundreds of thousands of businesses (as per Similarweb) including 60% of Fortune 500 every month.

Cem's work focuses on how enterprises can leverage new technologies in AI, automation, cybersecurity(including network security, application security), data collection including web data collection and process intelligence.

Cem's work has been cited by leading global publications including Business Insider, Forbes, Washington Post, global firms like Deloitte, HPE, NGOs like World Economic Forum and supranational organizations like European Commission. You can see more reputable companies and media that referenced AIMultiple.

Cem's hands-on enterprise software experience contributes to the insights that he generates. He oversees AIMultiple benchmarks in dynamic application security testing (DAST), data loss prevention (DLP), email marketing and web data collection. Other AIMultiple industry analysts and tech team support Cem in designing, running and evaluating benchmarks.

Throughout his career, Cem served as a tech consultant, tech buyer and tech entrepreneur. He advised enterprises on their technology decisions at McKinsey & Company and Altman Solon for more than a decade. He also published a McKinsey report on digitalization.

He led technology strategy and procurement of a telco while reporting to the CEO. He has also led commercial growth of deep tech company Hypatos that reached a 7 digit annual recurring revenue and a 9 digit valuation from 0 within 2 years. Cem's work in Hypatos was covered by leading technology publications like TechCrunch and Business Insider.

Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.

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AIMultiple.com Traffic Analytics, Ranking & Audience, Similarweb.
Why Microsoft, IBM, and Google Are Ramping up Efforts on AI Ethics, Business Insider.
Microsoft invests $1 billion in OpenAI to pursue artificial intelligence that’s smarter than we are, Washington Post.
Data management barriers to AI success, Deloitte.
Empowering AI Leadership: AI C-Suite Toolkit, World Economic Forum.
Science, Research and Innovation Performance of the EU, European Commission.
Public-sector digitization: The trillion-dollar challenge, McKinsey & Company.
Hypatos gets $11.8M for a deep learning approach to document processing, TechCrunch.
We got an exclusive look at the pitch deck AI startup Hypatos used to raise $11 million, Business Insider.

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