Observed Signal · Sep 28, 2022 · Analysis · Source: CMSWire · Impact: 2/5 · Sentiment: Positive
Low-Code/No-Code Platforms Could Improve Customer Experience
This CMSWire editorial examines how low-code/no-code development platforms help companies build customer experience solutions faster and more cost-effectively amid a tech talent shortage. Gartner forecasts the low-code market will reach $13.8 billion in 2021 and nearly $30 billion by 2025, and predicts low-code will account for 65% of application development activity by 2024. An IDC survey found 48.6% of 380 enterprises are adopting low-code/no-code tools to bring innovation in-house. The article outlines drivers including agile development needs, cost pressure, risk mitigation, and the rise of empathy in software design. It also offers best practices: use low-code for prototyping, establish a center of excellence, understand limitations in regulated industries, and maintain a human-centric design approach. The author, Carlos Meléndez of Wovenware, argues that the goal is delivering better customer experiences, not the technology itself.
Provides analysis and market forecasts on low-code/no-code adoption in customer experience, relevant for MarTech development strategy but not a specific industry-shifting event.
Track Gartner Signals & Market Shifts in Real-Time
Polaris7 autonomous intelligence agents track regulatory filings, primary sources, executive changes, and deal flow 24/7. Create your free Explorer workspace to monitor these entities.
Key Takeaways & Evidence Grounding
- Gartner forecast the low-code development market would grow to $13.8 billion in 2021 and nearly $30 billion by 2025.
- Gartner predicted low-code application development would account for 65% of all application development activity by 2024.
- An IDC survey of 380 enterprises found 48.6% were purchasing low-code/no-code platforms to bring innovation in-house.
- The article was published on September 28, 2022.
Connected Companies & Entities
2 Entities mapped“Analysts at Gartner estimate that the low-code market will grow to $13.8 billion in 2021 and almost $30 billion by 2025....”
“An IDC survey of 380 enterprises showed 48.6% are purchasing low-code/no-code platforms to move innovation in-house....”
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Verndale Launches AI Visibility & Content Supply Chain Services
Verndale, a digital consultancy, has introduced new services to help marketers measure and improve their brand's visibility in AI-generated answers. As AI assistants like ChatGPT and Google's AI Overviews increasingly influence research and buying decisions, brands need to know whether they are mentioned, recommended, and correctly described in these responses. Verndale's services include an AI Visibility assessment that tests real audience questions across major AI platforms, identifying gaps in brand mentions and citations. They also offer an AI-Ready Content Supply Chain Assessment to optimize content operations for AI-era discoverability. The company cites research from SparkToro showing 68% of Google searches end without a click, and Gartner reporting 45% of B2B buyers use generative AI for purchase research. A case study with Quinnipiac University demonstrated significant improvements in content optimization and AI readiness through governed agent workflows.
OK Future's AI 'Pressure Cooker' Campaign for Goodwipes
Former MullenLowe U.S. CEO Frank Cartagena launched creative shop OK Future to test generative AI's potential for a small agency. Their first project, a spoof of OpenAI's Astra ad for personal hygiene brand Goodwipes, was produced in four days using AI tools like ArtCraft, Seedance, and OpenAI's Astra model, cutting projected production costs from $700,000. The campaign, 'Meet Asstra,' gained over 1.5 million views on Reddit. However, Cartagena described the pace as 'unsustainable' and a 'pressure cooker,' with team members working around the clock and even threatening to quit. Goodwipes' SVP of Marketing, Meredith Diehn, emphasized trust in Cartagena and the value of experimenting with AI. The article highlights the growing use of AI in creative production, with 73% of marketers using GenAI for visual content and Gartner forecasting AI software spending to reach $981 billion by 2029.
AI Startups Face Pricing Power Squeeze from Model Suppliers
An analysis by Trending Topics highlights a structural challenge for AI startups: they often act as token resellers with thin margins, akin to middlemen, rather than classic software businesses. Using a fictional sports app example, the piece illustrates how costs for app store fees, token consumption, and free-tier AI features can erode profits. Citing a market study, it notes inference costs average 23% of revenue for scaling AI firms, with gross margins around 52% versus 78-80% for traditional SaaS. The article discusses how providers like OpenAI and Anthropic hold pricing power, and some startups, like Cursor, invest heavily in own infrastructure to reduce dependence, though this is often not feasible for most. Neoclouds are seen as not solving the fundamental dependency issue. However, a counterview suggests that rapidly falling inference costs could improve margins, and AI-native startups have already captured significant market share in some segments. The piece concludes with strategic advice for startups to focus on proprietary data, workflow integration, and cost optimization.
Track Real-Time Market Signals & Shifts
Set up custom watchlists to receive automated, evidence-grounded executive digests whenever material signals or shifts occur across your tracked landscape.