Has Technology Become Our Newest Sensei?
As a provider of technology and AI, your firm is experiencing incredibly rapid changes. Many of these are transformational and others are disruptive. A proven revenue consulting firm like CEVOH will allow your firm to focus on technology advances while we build and execute powerful revenue plans. Our plans will help you enhance your value proposition for new customers and help you capture new business from evolving innovation.
Executive Summary - technology sector
Technology Sector – Customer Preferences, Future Trends, Key Challenges, and Revenue Growth Strategies
The technology sector continues to be a dynamic driver of innovation, productivity, and global economic value. As both business and consumer expectations evolve, the sector faces increasing pressure to deliver reliable, scalable, and ethical solutions while navigating rapid disruption. This executive summary explores four essential dimensions shaping the future of the industry: customer demands, emerging trends, industry challenges, and strategies for sustainable revenue growth.
What Customers Want – and Don’t Want
What Customers Want:
User-Centric Design: Whether B2B or B2C or even B2G, customers demand intuitive, seamless experiences across devices and platforms.
Security and Privacy: With growing digital footprints, users increasingly prioritize data protection, transparency, and compliance with privacy laws.
Integration and Interoperability: Businesses seek tech solutions that integrate easily with existing systems and processes.
Personalization and Automation: Customers value AI-driven services that adapt to their behaviors and automate routine tasks.
Sustainability: Environmentally conscious consumers and enterprises are prioritizing energy-efficient hardware and responsible tech sourcing.
What Customers Don’t Want:
Complexity and Poor UX: Overly technical interfaces, fragmented ecosystems, and lack of onboarding support frustrate users.
Opaque Business Models: Customers distrust companies that lack transparency in pricing, data usage, or product functionality. In particular, feedback to CEVOH is extremely negative when a technology company charges one company to refine their products, while selling the refinements to other companies.
Inflexibility and Vendor Lock-in: Proprietary systems that limit customization or migration options are falling out of favor.
Security Vulnerabilities: Any hint of weak cybersecurity or inadequate response to data breaches undermines trust quickly.
Future Trends in the Technology Sector
AI and Machine Learning: Generative AI, automation, and predictive analytics are becoming core to business innovation and customer experiences and redefining p
Edge and Quantum Computing: Computing is moving closer to the data source (edge) while long-term breakthroughs are expected from quantum advancements.
5G and Beyond: Ultra-fast networks will enable next-gen applications such as autonomous systems, real-time IoT, and immersive experiences.
Cloud-Native Everything: While companies continue to migrate to cloud platforms (AWS, Azure, Google Cloud) to reduce infrastructure costs and increase scalability and agility, adoption of hybrid and multi-cloud environments continues to rise, with serverless and containerization driving efficiency.
Remote Work: Technology tools enabling remote collaboration (Zoom, Microsoft Teams, Slack) are still in high demand as hybrid work models stabilize.
Green Tech: Energy-efficient data centers, carbon-neutral products, and sustainable sourcing are becoming competitive differentiators.
Cybersecurity as a Foundation: With rising data breaches, ransomware attacks and privacy concerns, proactive threat detection, zero-trust models, and cybersecurity mesh architectures (for business, personal and government applications) are gaining traction.
Key Problems and Concerns
Cyber Threats and Data Misuse: As connectivity grows, so do threats—from ransomware to state-sponsored cyberattacks. Regulatory risk is also intensifying.
Talent Shortages: There’s a global gap in skilled professionals for software development, AI, cybersecurity, and IT management.
Ethical and Regulatory Challenges: Emerging technologies such as AI, facial recognition, and biometric data collection are under scrutiny for bias, surveillance, and fairness.
Technical Debt and Legacy Systems: Many enterprises struggle to modernize outdated infrastructure without business disruption.
Market Saturation and Commoditization: In areas like SaaS, mobile devices, and cloud storage, differentiation is increasingly difficult and pricing pressure is intense.
How to Grow Revenue in the Technology Sector
Value-Based Innovation: Focus R&D on solving high-impact problems and align offerings with measurable customer outcomes. The word value can mean low cost, but more often it means meeting or exceeding the needs of the customer across metrics other than price. (function, integration, reliability, service after sale, etc.) See CEVOHs list of value drivers here:
Vertical Specialization: Tailor products for specific industries (e.g., healthcare, finance, logistics) to increase relevance and pricing power.
Platform and Ecosystem Expansion: Build open platforms and partnerships that encourage third-party development and customer stickiness.
Subscription and Usage Models: Transition from one-time sales to recurring revenue streams through SaaS, cloud services, and consumption-based pricing.
Customer Success and Retention: Invest in post-sale support, analytics, and education to boost lifetime value and reduce churn.
Global Market Penetration: Tap into emerging markets where digital transformation is accelerating, supported by scalable, mobile-first solutions.
Conclusion:
To thrive in the evolving technology sector, companies must balance innovation with responsibility, listen closely to changing customer expectations, and design flexible business models that scale. Organizations that proactively address trust, ethics, and relevance—while embracing automation and personalization—will lead the next wave of growth.
CEVOH can help you navigate the changes and take advantage of the growth opportunities. We have a proven track record within the tech industry and when apply technology applications to many different sectors. Our approaches are agile and will help you bring tech solutions to market.
What Customers Want With Technology Solutions
Buyers and Users Want to Participate in an Iterative Technology Design Process. Here is a Helmet Mounted Display for Fighter Jets In Development - Shown to Pilots for Their Feedback Before the Final Design.
What Customers Want
When buyers and users of technology are excluded from development during agile processes, they often say they feel like the tech companies are forcing their vision upon them. Even with one of our favorite companies, Apple - who hasn’t felt a negative when a software push forces new functionality? While not everyone can be included, and much of tech sector development is shrouded in secrecy, it’s important to remember what people say they want. And, whenever you can give them what they want it becomes a differentiator for your business and additional value you can monetize.
CEVOH recommends a segmentation exercise to understand and clarify the separate needs and wants of influencers, buyers and users. Understanding what creates value in the minds of all three will drive your revenue better than anything else. Does your business focus on tech solutions for Consumers? Businesses? Government? Click each link to see the value drivers. The value drivers will also be different between cutting edge technology and pragmatic tech. Cutting-edge type approaches are highly likely to keep changing – adding risk to purchase. Early adopters often deal with the risk by the ego lift of having the newest stuff. Pragmatic tech buyers want flawless execution, integrations and hate planned obsolescence. They will pay more for these value drivers. Here are some other points to consider:
Understand and Solve Real Problems and Conduct Deep Discovery:
Regularly engage with customers to uncover pain points, unmet needs, and future goals. Focus on outcomes, not just features. Try to think about lifestyle solutions rather than products. Use this exercise: Use imaging software to visualize your products or services being used in a life setting (happy regular people using your stuff). The imaging here can be done with AI visual applications, or Adobe, Power Point or even Canva. Make a picture of people using the products. Tailor and customize your offerings to fit a wide range of use cases within specific situations. If B2B, think about specific industries, roles, or workflows. Buyers appreciate relevance over generality: Use Case Clarity: Clearly articulate how your product addresses specific consumer or business challenges. For B2C – improving quality of life is key but also look at the wide-range of value drivers CEVOH has identified. For B2B - improves KPIs such as, productivity, cost savings, security. For B2G – improving efficiency, capabilities, first strike or defensive dominance, safety, lethality.
Enhance the User Experience (UX): Make your products and services Intuitive by designing interfaces that require minimal onboarding and feel familiar. Eliminate friction in setup and daily use. Support Continuous Learning by offering free how-to guides, embedded tips, training videos, and user communities. Create Fast, Responsive Support: Provide accessible, knowledgeable, and human-centric customer support. Response time = perceived value.
Help Buyers Justify the Investment: Use ROI Tools and Case Studies: Equip your sales and customer success teams with ROI calculators, proof of benefits, before-and-after metrics, and customer testimonials. Total Cost of Ownership (TCO): Show how your solution reduces ongoing costs (e.g., labor, maintenance, downtime). Compliance and Risk Reduction: If applicable, highlight how you help them meet regulatory, cybersecurity, or operational requirements.
Build Trust Through Transparency
Clear Pricing Subscriptions and Contracts: Eliminate hidden fees and legal gray areas. Buyers value straightforward agreements. Responsibility: Be upfront about how data is collected, stored, and used. Offer control and explain protections. Consistent Performance: Deliver on promised uptime, SLAs, and roadmap updates. Under-promise and over-deliver when possible.
Enable Integration and Scalability
APIs and Plug-and-Play Architecture: Ensure your tech fits into their existing stack with minimal disruption.
Flexible Deployment: Offer on-premise, hybrid, or cloud-native options to match enterprise needs.
Future-Proofing: Demonstrate your product’s roadmap and alignment with emerging technologies (e.g., AI, automation, IoT).
Offer a Partner Mindset (Not Just a Vendor Role)
Proactive Account Management: Regular check-ins, usage audits, and optimization suggestions show that you’re invested in their success.
Co-Innovation Opportunities: Invite key customers to provide feedback, test new features, or shape roadmap decisions.
Business Outcomes First: Frame your product’s impact in terms of the buyer’s strategic goals—growth, market share, customer retention, etc.
Future Trends and How to Prepare
Trends
Generative AI and Automation
Trend: AI systems (e.g., GPT, Perplexity, Gemini, Claude and others) will become embedded across sectors—content creation, software development, customer service, healthcare, etc.
What’s Coming: AI copilots, autonomous agents, and increasingly multimodal capabilities (text, image, video).
Small Language Models
Trend: “think small” and think much more sophisticated, targeted and up-to-date.
What’s Coming: These will take much less power to run and may become an opportunity to project knowledge, or, become a helpful human tool to enhance the power we already have within us.
Edge Computing and IoT
Trend: Devices will process more data locally ("at the edge") to reduce latency and improve privacy.
What’s Coming: Smart factories, autonomous vehicles, and real-time data analytics in retail and logistics.
Quantum Computing
Trend: Not yet mainstream, but progress is accelerating in pharmaceuticals, cryptography, and logistics optimization.
What’s Coming: Disruption of current encryption standards, breakthroughs in materials science and drug design.
Sustainability and Green Tech
Trend: Rising demand for sustainable tech—from energy-efficient data centers to circular electronics.
What’s Coming: Carbon-tracking tools, green cloud infrastructure, and regulation-backed green tech innovation.
5G/6G and Next-Gen Connectivity
Trend: High-speed, ultra-low latency networks will fuel real-time applications in AR/VR, telemedicine, and remote robotics.
What’s Coming: Widespread connectivity in rural areas, smarter infrastructure, and expanded metaverse applications.
Cybersecurity as a Core Function
Trend: Increasing cyberattacks, ransomware, and AI-based threats make cybersecurity critical.
What’s Coming: Zero-trust frameworks, AI-enhanced security systems, and global cyber insurance markets.
Decentralized Technology & Web3
Trend: Blockchain, DAOs, and decentralized identity systems are growing in niche use cases.
What’s Coming: New business models around data ownership, royalties, and tokenized assets.
Human-AI Collaboration and Augmented Workforce
Trend: AI tools augmenting—not replacing—humans in knowledge work.
What’s Coming: AI assistants across all job levels, training systems tailored to individual learning patterns.
How Businesses Should Exploit These Trends
Integrate AI for Efficiency and Differentiation
How: Automate routine tasks (e.g., support, content creation, analytics), but also explore AI for customer personalization and product innovation.
Example: Use generative AI to produce marketing collateral or code faster with AI pair programming.
Adopt a Data-Centric Business Model
How: Build infrastructure for clean, connected, and actionable data—across departments and customer touchpoints.
Example: Leverage IoT to gather real-time insights from products in use, then optimize features based on feedback.
Invest in Cyber Resilience
How: Embed cybersecurity at every level—supply chain, user devices, cloud, and endpoints.
Example: Shift from reactive security to proactive AI-based threat detection and zero-trust architectures.
Prioritize Sustainability as a Growth Driver
How: Adopt energy-efficient technologies and offer green alternatives to eco-conscious customers.
Example: Develop eco-certifiable digital products or circular economy solutions that reduce waste and carbon impact.
Explore New Business Models with Decentralization
How: Consider token-based incentive structures, decentralized identity systems, and smart contract-enabled services.
Example: Build digital rights management tools using blockchain or launch a loyalty token economy.
Upskill and Augment the Workforce
How: Reskill employees to work alongside AI tools, and implement human-in-the-loop models to improve performance and trust.
Example: Create internal AI training labs and assign employees AI copilots to improve decision-making.
Be Early in Quantum and 6G Research
How: Partner with universities or startups, participate in pilot projects, and file strategic patents.
Example: Develop cryptographic systems resilient to future quantum decryption threats.
Important Links and Statistics for the Technology Industry
Leading Technology Companies
Apple https://www.apple.com
Microsoft https://www.microsoft.com/
Alphabet (Google) https://abc.xyz
Amazon https://www.amazon.com/
Meta (Facebook) https://about.meta.com/
Nvidia https://www.nvidia.com/
Tesla https://www.tesla.com/
Intel https://www.intel.com/
Salesforce https://www.salesforce.com/
Oracle https://www.oracle.com/
Cisco https://www.cisco.com/
Adobe https://www.adobe.com/
Key Industry Associations & Organizations
Consumer Technology Association (CTA), Organizers of CES; advocates for consumer tech industry
CompTIA (Computing Technology Industry Association), IT certifications, training, industry research
Information Technology Industry Council (ITI), Global voice for the technology sector, advocates for policy
Software & Information Industry Association (SIIA), Represents software and digital content companies
Institute of Electrical and Electronics Engineers (IEEE), Professional association for advancing technology related to electricity and computing
Association for Computing Machinery (ACM), World's largest computing society; advances computer science
Cloud Security Alliance (CSA), Focuses on best practices for cloud computing security
https://cloudsecurityalliance.org/
ISACA - Specializes in IT governance, assurance, risk, and security,
Influential Technology Conferences & Events
CES (Consumer Electronics Show) - Premier event for consumer technology; hardware, software, services
MWC Barcelona (Mobile World Congress) - Largest exhibition for the mobile industry
SXSW (South by Southwest) - Intersects tech, film, and music; new ideas, networking
RSA Conference - Leading global cybersecurity conference | https://www.rsaconference.com/
Black Hat Briefings - DEF CON, Top events for cybersecurity research, trends, ethical hacking
AWS re:Invent - Amazon Web Services' flagship cloud computing conference
https://reinvent.awsevents.com/
Google I/O - Google's developer conference for new software, tools, APIs
Apple WWDC (Worldwide Developers Conference) - Apple's developer conference for new software and platforms
https://developer.apple.com/wwdc/
Microsoft Build - Microsoft's developer conference for Azure, Windows, and more
https://build.microsoft.com/
Web Summit / Viva Technology - Large, general tech conferences with global focus
Leading Technology Publications & News Sources
TechCrunch - Focuses on startups, venture capital, and emerging tech
WIRED - In-depth analysis of how technology impacts culture, economics, and politics https://www.wired.com/
The Verge - Covers technology, science, art, and culture; product reviews https://www.theverge.com/
Ars Technica - Detailed coverage of tech news, IT trends, hardware, software, security https://arstechnica.com/
CNET - Comprehensive reviews, news, and guides for consumer technology https://www.cnet.com/
Engadget - Trusted source for consumer electronics and gadget news and reviews https://www.engadget.com/
ZDNET - Business-focused tech news, enterprise technology, IT management https://www.zdnet.com/
MIT Technology Review - Deep dives into emerging technologies and their impact https://www.technologyreview.com/
The Wall Street Journal (Tech section) - Business and financial news with strong tech coverage https://www.wsj.com/news/technology
Bloomberg Technology - Real-time tech news and analysis from a financial perspective https://www.bloomberg.com/technology
Hacker News - Community-driven news aggregator for tech and startups https://news.ycombinator.com/
Major Technology Research & Analyst Firms
Gartner - Market research, analysis, and advisory (e.g., Magic Quadrants) https://www.gartner.com/
Forrester - Market research and advisory; customer experience, business tech https://www.forrester.com/
IDC (International Data Corporation) - Market intelligence, advisory services, and events https://www.idc.com/
Deloitte (Technology Consulting) - Global consulting firm with extensive tech research https://www2.deloitte.com/us/en/pages/technology.html
Accenture (Technology Services) - Global professional services company with deep tech insights https://www.accenture.com/us-en/services/technology-index
Challenges Facing the Technology Industry
Using an iPad as a Chess Board is a Frivolous Use of Technology. Buyers and Users of Tech Say They Prefer Pragmatic Solutions and Are Beginning to Reject Frivolous Ones.
The technology industry is navigating a period of rapid transformation, driven by emerging innovations and heightened scrutiny. While disruptive technologies unlock new possibilities, they also introduce serious challenges around regulation, data quality, labor, sustainability, and public trust. What’s more, Technology is sometimes frivolous and used to draw attention. Most buyers and users of tech say they want it to solve a pragmatic set of issues (not frivolous). Below is a summary of the primary disruptors and key challenges shaping the future of the tech sector.
Major Disruptors
Generative AI: Advanced language models like OpenAI’s GPT, Google’s Gemini, and Anthropic’s Claude are revolutionizing sectors such as marketing, legal services, software development, and customer support.
Quantum Computing: Though still early-stage, quantum computing promises breakthroughs in areas like cryptography, drug discovery, and materials science.
Blockchain & Decentralized Tech: Beyond volatile cryptocurrencies, blockchain is transforming sectors like finance, supply chains, and data verification.
5G & Next-Generation Connectivity: Faster, lower-latency networks are enabling new applications in autonomous vehicles, augmented reality, and smart infrastructure.
Automation & Robotics: AI-driven automation is reshaping industries like manufacturing, logistics, and retail, while challenging traditional labor models.
Key Challenges
Regulation & Antitrust Scrutiny: Policymakers in the U.S., EU, and China are increasingly regulating Big Tech over privacy, market dominance, and consumer protection, creating compliance uncertainty and operational risk.
Cybersecurity Threats: The digital expansion has brought a surge in ransomware, phishing attacks, and nation-state cyber threats, endangering infrastructure and public trust.
Tech Talent Shortage: Demand for skilled workers exceeds supply globally, driving wage inflation and competition, and slowing innovation.
Geopolitical Tensions: Rivalries—especially between the U.S. and China—are disrupting semiconductor supply chains, restricting cross-border data flows, and complicating international tech collaboration.
Sustainability Pressures: Energy-intensive technologies like AI model training, crypto mining, and data centers face criticism for their environmental impact, fueling demands for greener practices.
Consumer Trust & Misinformation: Issues like deepfakes, algorithmic bias, and misinformation have eroded public confidence in tech platforms, prompting calls for accountability and transparency.
Right to Repair Legislation: In response to frustration over disposable tech, laws in Europe and several U.S. states require manufacturers to provide parts, manuals, and diagnostic tools for independent repair, aiming to reduce e-waste and extend device lifespans.
Challenges with Poor AI Training Data
Tremendous focus is on AI applications now. With this comes its own set of challenges. Many AI systems are built on large datasets of varying quality. Poor data undermines trust and performance in critical ways:
Inaccuracy & Bias: Faulty or biased data leads to errors and discriminatory outcomes (e.g., biased hiring tools, inaccurate medical diagnostics).
Security Vulnerabilities: Poor data can allow adversarial manipulation (e.g., tricking self-driving cars with altered road signs).
Overfitting & Generalization Issues: Models trained on narrow or repetitive data fail in real-world conditions (e.g., driving AIs failing in bad weather).
Hallucinations & Misinformation: Incomplete or low-quality training sets cause AI to generate plausible but false information.
Ethical & Legal Risks: Use of copyrighted or private data can result in lawsuits or privacy violations.
Scalability Limits: Poor data quality increases the need for human oversight and continuous retraining, slowing deployment and innovation.
Privacy, Regulation & Copyright Concerns in AI
In addition, AI’s reliance on data (often sourced from the work of others) and automated decision-making raises several legal and ethical issues:
Privacy
Data Collection Without Consent: Many AI models are trained on copyrighted content (books, music, code, images) without licensing. Examples: This is the basis of ongoing lawsuits (e.g., The New York Times vs. OpenAI and Microsoft). Legal gray area: Is training "fair use" or infringement?
Re-identification Risks: Even anonymized data can sometimes be traced back to individuals.
Inferred Information: AI can predict sensitive traits like sexual orientation, political affiliation or mental health status – even if a person never disclosed these.
Surveillance & Bias: Use in surveillance and facial recognition raises civil rights concerns. Governments and companies use AI for surveillance, raising concerns, especially in countries lacking strong legal safeguards.
Sensitive Inference: AI can deduce private traits like political beliefs or health conditions.
Regulation
Lack of Global Standards: Regulations differ across jurisdictions such as the EU vs US, complicating compliance. AI is advancing faster than legal systems.
Liability & Transparency: “Black-box” AI systems make it hard to assign responsibility. Examples: who is at fault when a self-driving car hits a person or an automated system makes a bad bank loan?
Bias & Harmful Content: Systems may unintentionally perpetuate societal bias or generate toxic content. Examples: Deepfakes and misinformation are increasingly hard to track, regulate and trace.
Autonomy Dilemmas: As AI becomes more capable, concerns grow over its use in critical domains like warfare or healthcare.
Copyright
Unlicensed Training Data: AI often uses copyrighted works without permission, raising legal concerns. The US copyright office is slow to catch-up with the latest trends but has issues statements suggesting that copyrights will be granted if sufficient human generated originality is present.
Ownership Ambiguity: There is no clear legal answer on who owns AI-generated content. This will continue to create issues with derivative works and also usage rights.
Derivative Works: AI outputs may mimic or infringe on existing works. A derivative that is only slightly altered from the original and/or the definitions about the amount of altering will be debated.
Labeling Issues: Lack of transparency on what is AI-generated can deceive consumers and violate IP norms.
Conclusion
The technology industry is being reshaped by innovation and disruption, but faces equally significant challenges tied to data quality, regulation, labor, sustainability, and ethics. Success in the coming years will depend on how well companies and policymakers can balance innovation with accountability, while ensuring systems are trustworthy, equitable, and sustainable.
What we’ve done (proof of impact)
CEVOH Built a Value Calculator to Guide SMBs on their Advertising Spending. .
CEVOH Technology Industry
What We've Done
SALES
The telecom global No. 2 hired CEVOH to assess its primary face-to-face direct channel and recommend actions to improve Cost of Sales and sales effectiveness. A big job for CEVOH but mission accomplished. Side benefits included improved first line manager coaching tools, and better customer facing sales positioning. Technology tools for the sales rep were simplified and a new compensation plan was developed with full tech stack integrations.
INNOVATION
The U.S. telecom leader hired CEVOH to create a new product roadmap for B2B customers in the small/medium category. The process involved internal and external ideation, product concept development, output of concepts in both summary and visual form and presentation to focus groups over a three-year period. Changing customer needs were mapped and new products evolved to meet these needs. All of the product innovation included significant technology productization that helped SMBs grow and better service their customers.
MARKETING
CEVOH works with a market leading international defense avionics firm to optimize new product launches and counter the competition. The approach has included leveraging the firm’s reputation as a market leader, and establishing new ground as an innovator. The new launches were done with a mix of traditional methods and economical digital splashes. The result has been a reversal of competitor gain in market share.
TRANSFORMATION
An international advertising/media sector leader hired CEVOH to develop a transformational change management plan. Facing significant market changes and competitive threats, our partners worked to complete and implement a plan that included executive evaluations, succession planning, quality improvement teams, governance committees and market innovation strategies.
SALES
A division of the world’s largest defense/aerospace company hired CEVOH to help develop a direct sales organization. We collaborated to create a best practice sales organization with integrated marketing programs, sales training, customer engagement approaches and effective compensation programs. The result has been a consistent increase in market share and achievement of the international market leadership position.
INNOVATION
CEVOH created and implemented a technology innovation and marketing plan for a start-up focused on virtual reality cinematic production. This involved mixing traditional optical hardware with cutting edge LED virtual scape backdrops and spatial software to create realistic movies and videos for commercial production.
MARKETING
A global top 70 telecom and media company hired CEVOH to optimize and simplify their product portfolio and pricing/promotions offerings. The partners at CEVOH assessed the current product portfolio against metrics of customer value and margin contribution – then greatly reduced the number of products & services in the product offering. A go-to-market strategy was implemented to reduce revenue risk and help 900 direct sales reps increase the ARPU.
TRANSFORMATION
CEVOH worked with several sector leaders within the media industry to develop an analytical model to predict consumer usage trends. The model is now in use by several companies to measure, benchmark and predict consumer traffic yield analytics. This approach creates significant transformational change for media companies – shifting the focus to end users. The model has evolved from Machine Learning to Predictive to a small language AI Bot.
THOUGHT LEADERSHIP
CEVOH is currently developing a thought leadership roadmap for the aerospace and defense ‘cockpit of the future’. This series of outputs walk readers thru the changing aviation battlespace and outline approaches and applications that will be needed to dominate each theatre of operations. The work here is cutting edge, based on fact, includes significant customer input and will output conceptual models and several different new technology products.
SALES
A division of the world’s largest defense, security and aerospace company hired CEVOH to help develop a direct sales organization. We collaborated to create a best practice sales organization with integrated marketing programs, sales training, customer engagement approaches and effective compensation programs. The result has been a consistent increase in market share and achievement of an international market leadership position.
MARKETING
CEVOH works with the world’s largest industrial electric hybrid propulsion company to implement effective go-to-market product launches. The CEVOH team collaborates with the sales, marketing and operations departments to create maximum market effect with limited budgets.
INNOVATION
The worlds largest SaaS biller asked CEVOH to add front-end services to their back-end suite. This involved iterative technology development – where customers are working with developers and UI/UX specialists. The output was a series of helpful technology applications that helped customer facing employees to sell using value added and insight approaches.
TRANSFORMATION
CEVOH has worked with several companies to identify the unique differences between ‘end-user’ and ‘customer’. These differences often involve needs attributes and can easily be overlooked. Once these are clarified, our clients can quickly pivot to adjust their actions and meet these needs. The result has been transformational change within the organizations in which we collaborate.
SALES
CEVOH is working with several companies to introduce insight selling initiatives. The adoption of these initiatives has had a material impact on improving the customer experience. We have helped develop industry and segment specific insight as well as efficient multi-touch methodology that strengthen the relationship with the customer.
MARKETING
CEVOH works with a large industrial manufacturing firm to introduce net promoter score benchmarking and trended data. The result was clarity on quality reputation issues and clear actions to quickly improve product quality. This has also led to adoption of NPS as a unifying cross-functional metric – and initiatives to proactively improve customer experience.
TRANSFORMATION
CEVOH has worked with several traditional media companies on the effects of disruptive technologies and the impacts of evolving business models.
SALES
The telecom global no 3 hired CEVOH to evaluate telephone and reseller channels and recommend improvements. The result was a streamlined front end system interface that could be quickly deployed. This resulted in hiring additional third-party sales channels that could more easily adapt to the order processing / sales input process.
MARKETING
A large media provider hired CEVOH to assess their marketing and sales operations departments. Gaps against best practices were identified and constructively communicated to senior management along with specific recommendations for improvement.
TRANSFORMATION
CEVOH is working with a large services company to bring innovative products to their SMB segment. We use a proven approach to introduce new ideas, and shorten time to market.
Where we see growth opportunities for the technology sector
CEVOH Built this Technology Demonstrator Using Customer Input and Virtual Reality Software.
Where We See Growth Opportunities
The technology industry's revenue growth is dynamic and multi-faceted, driven by continuous innovation, evolving business models, and the pervasive digital transformation across all sectors. These are the 10 key revenue growth drivers we’ve identified:
Digital Transformation Across Industries and a Focus on Recurring Revenue Streams:
Enterprise Modernization: Businesses across all sectors are investing heavily in digital transformation initiatives to improve efficiency, customer experience, and competitive advantage. This includes cloud migration, adoption of AI/ML, automation of processes, and integration of IoT.
Industry-Specific Solutions: Technology companies are developing specialized solutions for various industries (e.g., FinTech, HealthTech, EdTech, Manufacturing 4.0, AgriTech) to address unique pain points and drive digital adoption within those verticals.
Servitization and Data Monetization: As businesses digitize, they are increasingly shifting from selling products to offering "as-a-service" models, often bundling services with data-driven insights. This creates new, recurring revenue streams for tech companies.
Cloud Computing Dominance:
Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS): The shift to cloud-based services continues to be a monumental driver. Businesses of all sizes leverage cloud platforms for scalability, cost efficiency, flexibility, and access to cutting-edge technologies.
Hybrid and Multi-Cloud Strategies: Many enterprises are adopting hybrid or multi-cloud approaches, driving demand for solutions that manage and optimize workloads across various cloud environments.
Edge Computing: As data generation moves closer to the source (e.g., IoT devices, autonomous vehicles), edge computing is gaining traction, extending the cloud's reach and creating new revenue streams for tech providers.
Artificial Intelligence (AI) and Machine Learning (ML):
Generative AI: The rapid advancements in generative AI are creating entirely new markets and applications, from content creation and code generation to personalized experiences and accelerated R&D. This is a significant new revenue frontier.
AI Integration across Software and Services: AI is being embedded into virtually every software product and service, enhancing capabilities like automation, predictive analytics, natural language processing, and personalized recommendations, driving upgrades and new subscriptions.
AI Infrastructure: The demand for specialized hardware (AI chips, GPUs), software frameworks, and cloud infrastructure to support AI development and deployment is booming.
AI-powered Solutions: AI is driving the creation of new solutions for data analysis, cybersecurity, customer service (chatbots), drug discovery, and operational optimization across industries.
BIG IDEA: Treat AI as your best new customer. Influencing the results of the AI output can lead to specific recommendations for the products and services you sell. You are already doing this with search engines, just carry this forward into the AI language search models. We can show you how.
Software as a Service (SaaS) and Subscription Models:
Recurring Revenue: The shift from one-time software licenses to recurring subscription models (SaaS) provides stable and predictable revenue streams for tech companies. What do you offer that is of sustained value - and customers will pay you monthly for?
Scalability and Accessibility: SaaS lowers the barrier to entry for businesses, allowing them to access powerful software without significant upfront investment, driving wider adoption.
Continuous Updates and Innovation: SaaS models allow companies to deliver continuous updates, new features, and improved functionalities, maintaining customer engagement and encouraging long-term subscriptions.
Cybersecurity Imperatives:
Escalating Cyber Threats: The increasing frequency and sophistication of cyberattacks (ransomware, data breaches, phishing) drive continuous demand for robust cybersecurity solutions.
Regulatory Compliance: Strict data protection and privacy regulations (e.g., GDPR, CCPA) compel businesses to invest in comprehensive cybersecurity measures to avoid hefty fines and reputational damage.
Cloud Security and IoT Security: As businesses move to the cloud and adopt IoT devices, the need for specialized cloud security and IoT security solutions is expanding rapidly.
Internet of Things (IoT) Expansion:
Connected Devices: The proliferation of connected devices in homes, industries, smart cities, and healthcare generates massive amounts of data, creating demand for IoT platforms, analytics, and security solutions.
Industrial IoT (IIoT): In manufacturing, logistics, and energy, IIoT is driving revenue by enabling predictive maintenance, asset tracking, remote monitoring, and operational optimization.
Smart Homes and Cities: Consumer adoption of smart home devices and government initiatives for smart cities contribute to IoT ecosystem growth.
Advanced Connectivity (5G and Beyond):
Enabling New Technologies: The rollout of 5G networks, with its high bandwidth and low latency, is a critical enabler for many emerging technologies like advanced IoT, autonomous systems, and immersive experiences (AR/VR).
Network Infrastructure and Services: Investment in 5G infrastructure, equipment, and related services (network slicing, private 5G) directly fuels revenue for telecom equipment manufacturers and service providers.
Semiconductor Industry Growth:
Demand from AI, IoT, and 5G: The proliferation of AI, IoT devices, 5G networks, and advanced consumer electronics drives massive demand for semiconductors (chips), which are the fundamental building blocks of almost all technology.
Specialized Chips: The development of specialized chips (e.g., GPUs for AI, custom ASICs) for specific applications contributes to increased revenue and innovation within the semiconductor sector.
E-commerce and Digital Commerce Technologies:
Online Shopping Growth: The continued growth of e-commerce necessitates robust platforms, payment gateways, cybersecurity, logistics software, and personalization tools.
Omnichannel Retail: Technology enabling seamless integration between online and offline shopping experiences drives demand for new retail tech solutions.
Social Commerce and Voice Commerce: Emerging commerce channels, often powered by AI and advanced analytics, create new revenue streams for tech companies providing these solutions.
Venture Capital and Investment:
Fueling Innovation: Significant venture capital investment in promising tech startups, particularly in AI, cybersecurity, climate tech, and biotech, provides the capital needed for R&D, market expansion, and ultimately, revenue generation for these companies.
Recap
The technology industry encompasses companies involved in the development, manufacturing, and distribution of technology-based goods and services. These include hardware (computers, semiconductors, networking equipment), software (operating systems, productivity software, cloud computing), and services (IT consulting, cybersecurity, data analytics, AI/ML solutions).
This sector has been a cornerstone of global economic growth for decades, driving innovation across healthcare, finance, manufacturing, transportation, and education. Tech giants like Apple, Microsoft, Amazon, Alphabet (Google), and Meta shape much of the market, while thousands of startups continually inject new energy into the landscape.
In essence, the technology industry's revenue growth is not just about incremental improvements but about continuous disruption and the creation of entirely new markets and capabilities through the synergistic evolution of technologies like AI, cloud, IoT, and advanced connectivity, all underpinned by the ongoing digital transformation of the global economy.
CEVOH can help your organization take advantage of the rapid macro trends and create value within your products and services. With this incremental value, you can easily outpace the competition and meet or exceed your revenue financial goals.