Marketing to buyers with long, complicated sales cycles requires strategic planning. Research data helps fuel this planning, informing marketers on how and where they should spend their efforts.
We’ve rounded up some of the key takeaways from 10 of the best research reports around. The top research targets highly technical audiences, and the list goes on with additional general B2B marketing research, thought leadership research, and AI research.
Annual research on how engineers and technical buyers consume information
Publisher: TREW Marketing & GlobalSpec
Best used for: Shaping your marketing plan with the channels and activities that matter most to technical buyers.
Key findings:
On average, technical buyers spend 60% of their buying process online, and 72% spend at least half of the process online before ever contacting a salesperson.
Vendor websites and online technical trade publications are the top information sources (73% of engineers use these).
91% subscribe to at least one industry newsletter (69% subscribe to 3 or more), and 75% are open to relevant sponsored content in those newsletters.
YouTube, GitHub, and LinkedIn are rated the most valuable social platforms for work, far ahead of X/Twitter or Facebook.
Strengths: Incredibly useful for understanding deeply technical buyers and informing companies with long or complicated sales cycles.
Limitations: Findings apply best to marketing physical technologies or industrial/B2B tech, rather than IT buyers.
Biannual “voice of the engineer” study
Publisher: AspenCore / EE Times
Best used for: Gauging electronics engineers’ technology adoption priorities and attitudes toward AI.
Key findings:
Among professional electronics engineers, 55% identify the Internet of Things (IoT) as the top new technology adopted or planned, followed by 41% citing wireless connectivity protocols, and 40% sensing/mobility technologies.
Overall, 55% of engineers say AI will make their jobs easier, with optimism highest among early‑career engineers (72%) and lowest among late‑career engineers (46%)
Most engineers spend more time designing new products than maintaining existing ones, especially in EMEA and the Americas.
Strengths: Focused specifically on electronics and design engineers; provides granular data on technology adoption and career‑stage attitudes toward AI.
Limitations: Does not represent other engineering disciplines (mechanical, chemical, civil); public report emphasises technology adoption rather than marketing channel preferences.
Annual survey of business software buyer
Publisher: G2
Best used for: Gauging software buyers’ attitudes toward AI, budgets, buying cycles and evaluation preferences.
Key findings:
52% of buyers plan to increase tech spending in the next year and 56% have purchased AI platforms recently.
49% of buyers consider only 1–3 products before deciding (up from 33%).
31% trust peer‑review sites more than vendor information.
Strengths: Deep insights into software/IT buyers’ motivations, trust, security requirements and AI adoption; highly relevant to SaaS marketers.
Limitations: Focuses exclusively on software and IT buyers; not applicable to physical products or non‑IT industries.
Research on IT buying committees and content preferences
Publisher: Foundry (IDG)Research on IT buying committees and content preferences
Best used for: Understanding enterprise IT decision‑making and the types of content IT buyers value during complex purchases.
Key findings:
Strengths: Directly targets enterprise IT buyers; highlights the need for vendor‑provided resources and credible content; emphasizes video as a format.
Limitations: Focuses on IT and security purchasing; may not generalize to non‑IT engineers or industrial sectors.
Annual survey of global B2B buyers
Publisher: 6sense
Best used for: Understanding how far B2B buyers advance before vendors are contacted and why omnichannel engagement is essential.
Key findings:
Strengths: Clear quantification of how early decisions are made and how buyers split their research across phases; useful for any marketer needing to influence the “anonymous” research stage.
Limitations: Broad B2B focus – not limited to technical buyers; the report is marketing‑side analysis and does not provide detailed buyer personas.
Forrester’s flagship look at buying friction and buyer expectations
Publisher: Forrester
Best used for: Identifying sources of purchase friction and the impact of AI and buying committees on enterprise purchases.
Key findings:
Strengths: Underscores the severity of buying friction and the rising role of AI; emphasises the need for cross‑departmental alignment.
Limitations: High‑level results; granular data (industry, persona) is behind Forrester’s paywall; not specific to technical buyers.
Insights from the global B2B Pulse Survey
Publisher: McKinsey & Company
Best used for: Benchmarking omnichannel behaviour and understanding the impact of e‑commerce and generative AI on B2B sales.
Key findings:
Strengths: Provides broad cross‑industry benchmarks for channel usage, self‑service preferences and AI adoption; useful for strategic planning.
Limitations: Not specific to engineers; results represent general B2B industries, so technical nuances may require additional insight.
Annual study on thought leadership effectiveness
Publisher: Edelman & LinkedIn
Best used for: Assessing how high‑quality thought leadership influences B2B decision‑makers, especially those not in active buying mode.
Key findings:
Strengths: Demonstrates the link between thought leadership quality and buyer willingness; offers specific attributes of effective content.
Limitations: Responses span broad industries, not just technical sectors; user opinions on quality may be subjective.
A study on how B2B marketers use thought leadership, research and influencers
Publisher: TopRank Marketing & Ascend2
Best used for: Designing thought‑leadership programs and understanding the role of research, influencers and AI‑powered discovery.
Key findings:
Strengths: Provides actionable guidance on research‑driven thought leadership, influencer co‑creation and multi‑channel visibility; highlights emerging role of AI in discovery.
Limitations: Marketer‑centred (not buyer‑centred) view; sample limited to US/UK; broad B2B industries rather than technical fields.
Dentsu’s global benchmark study of B2B buying behaviour in the AI era
Publisher: Dentsu B2B
Best used for: Benchmarking AI’s role in B2B buying, understanding how trust and experience drive deal outcomes across global industries.
Key findings:
Strengths: Extensive global sample across technology, financial services, professional services and manufacturing; shows how AI and experience combine to drive outcomes.
Limitations: Broad B2B coverage rather than technical‑specific; data cuts require access to the gated report; may not focus on North America/Europe alone.
TREW is a marketing agency dedicated to reaching engineering and technical audiences through a range of marketing initiatives. Contact us today to learn more about the services we offer.