Keyword data

abb: daily Google search volume

EN-US · Latest daily volume 1,305 (as of 2026-11-12)

abb at a glance

Latest daily volume: 1,305 (as of 2026-11-12) · Locale: EN-US

  • vs ~7 days earlier: -16.7%
  • vs ~30 days earlier: -36.0%
  • vs ~1 year earlier: -34.8%

Topic groups: Industrial & Manufacturing

  • In the 12 months to Nov 12, 2026, abb averaged 1,694 Google searches a day in the United States.
  • The busiest day was Feb 13, 2026, with 4,659 searches, 2.8× the daily average.
  • The 30 days to Nov 12, 2026 had 37,601 searches, down 18% from the 30 days before (45,595).
  • Tuesday is the strongest day of the week, averaging 2,093 searches, 24% above the average day.
  • The 45-day forecast expects about 1,026 searches a day, 18% below the last 30 days' average.

Every figure is calculated from this keyword's daily Google search volume series. API access is available for subscribers. Check another keyword with the free keyword search volume checker.

Overview

abb attracts significant interest in the United States. Recent performance shows a daily search volume of 1,305 and an average monthly demand of 52,116. The latest daily datapoint was captured on 2026-11-12. Use this visibility to time campaigns, content, and investor attention around product news, earnings, and industry events for predictable impact.

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Why Is abb So Popular?

ABB most commonly refers to ABB Ltd, the Swedish–Swiss multinational in electrification, automation, motion, and robotics. Searches can also relate to ABB Optical Group and various localized brand/division pages. Intent skews mixed: informational (company, products, careers), commercial (solutions, vendors), and transactional (parts, services). Popularity stems from ABB’s scale, diversified portfolio, frequent product news, and financial catalysts that draw consistent curiosity from engineers, buyers, analysts, and job seekers.

  • Core contexts: industrial automation, robotics, drives/motors, electrification and e-mobility infrastructure.
  • Adjacent contexts: careers, investor updates, regional subsidiaries, and partner ecosystems.
  • Common tasks: product research, documentation, pricing, supplier comparisons, and support.

Search Volume Trends

The daily graph typically shows weekday peaks and weekend troughs, reflecting B2B research behavior. Event-driven spikes often align with quarterly earnings, major trade shows (e.g., automation and robotics fairs), EV charging announcements, large contract wins, or M&A updates. The monthly average smooths these swings, capturing sustained interest from ongoing projects, upgrades, and procurement cycles.

  • Spikes: announcements, investor days, major partnerships, or regulatory milestones.
  • Seasonality: budgeting and capex cycles (Q1/Q4) and global industry events.
  • Baselines: steady demand from maintenance, retrofits, and new installations keeps volumes resilient.

How to Use This Data

Daily-level granularity helps you act when attention is highest. Use rising slopes and spikes to time launches, campaigns, and coverage; use troughs to build evergreen assets and technical documentation.

For Marketing Agencies and Content Creators

  • Editorial timing: publish explainers, comparisons, and case studies during uptrends tied to product or earnings news.
  • Topic clusters: prioritize electrification, robotics, drives, safety, and standards when the graph sustains momentum.
  • Capture demand: align PPC and YouTube/LinkedIn campaigns to weekday surges; pause/retarget on troughs.

For DTC Brands

  • Category piggybacking: if your products touch energy, EV charging, or smart electrification, ride ABB-related surges with comparison content and co-marketing angles.
  • Retail readiness: synchronize promo windows and influencer posts with measurable attention spikes.
  • Search protection: bid on brand+category keywords during ABB news cycles to intercept adjacent demand.

For Stock Traders

  • Attention proxy: use daily search spikes as a sentiment and awareness indicator around catalysts (earnings, guidance, deals).
  • Playbook: set alerts for breakouts; map spikes to price/volume in ABBNY and peers; watch pre- and post-announcement drift.
  • Risk control: confirm with fundamentals and alternative data; avoid overfitting to single-day anomalies.

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