TBR Launches AI & GenAI Technology Market Landscape Report

Technology Business Research, Inc., is pleased to announce the launch of the AI & GenAI Technology Market Landscape, a new research report focusing on some of the more influential AI startups that are making generative AI (GenAI) a reality for many enterprises as well as for their cloud delivery partners, which play a critical role in this new market.
 
In our initial research we analyze alliance relationships, specifically how AI vendors — including both large language model (LLM) providers and GenAI facilitators — are working with major hyperscalers and SaaS vendors. Additionally, we look at where AI startups are investing; key trends, such as the emergence of multimodal models; and what we can expect from vendors in the coming quarters. Vendors covered include AI21 Labs, Anthropic, Cohere, Databricks, Google, Hugging Face, Meta, OpenAI and Stability AI.
 
The first publication of this semiannual report is now available. If you are a current TBR client and believe you have access to the full research via your employer’s enterprise license, or if would like to learn how to access the full research, click here.

Highlights from the AI & GenAI Technology Market Landscape

Key Trend: Multimodal models

Most foundation model vendors have made multimodal models a strategic priority as they look to expand the number of GenAI use cases
Different from traditional LLMs, multimodal AI can process and interpret several types of data inputs at the same time, such as text, images and sounds. This versatility makes multimodal models critical for expanding the viable use cases for generative AI, specifically to support the creation of marketing content. According to TBR’s 2H23 Cloud Applications Customer Research, this is currently a top five use case for GenAI.
 
Cloud service providers (CSPs) and foundation model vendors alike have made efforts to internally develop multimodal models or form collaborations to harness GenAI’s data interpretation capabilities. Meta launched its open-source multimodal AI model, ImageBind, which can process text, audio, visual, movement, thermal and depth data simultaneously. When connected to sensors, ImageBind can perceive the surrounding environment’s 3D shape, temperature and sound. OpenAI’s newest evolution of its ChatGPT series, GPT-4V, allows users to input text, voice and images into user prompts to create content. Google’s Gemini is also a multimodal foundation model that identifies and generates text, images, video, code and audio. Gemini is known for its ability to perform massive multitask language understanding.
 
TBR believes CSPs and foundation model vendors will drive innovation of multimodal models to improve data interpretation and insights across all business segments.

Explosive AI-driven Demand: Semiconductor and IT Infrastructure Market Expectations

What Impact Is AI Having on the Semiconductor Market?

Suppliers of ICT components are often overshadowed by hardware OEMs responsible for delivering finished goods to the market. However, as the importance of semiconductors continues to rise, the market continues to see an expansion of ecosystem partnerships, including between semiconductor vendors and ICT OEMs as well as establishment of government programs and policies that aim to increase domestic chip production, innovation and global market positioning.
 

Over the last several quarters, the rise of generative AI (GenAI) has acted as gasoline on the fire, fueling growth in the semiconductor market. And as new AI workloads and use cases proliferate in the market, cloud service providers, client device OEMs and IT infrastructure OEMs are driving demand for advancements in silicon to support increasingly complex and demanding AI applications.

Click the Below Image to See the Full TBR Insights Live Session on AI-driven Demand in the Semiconductor Market, Including Discussions on:

  • Key findings from TBR’s latest Semiconductor Market Landscape, a semiannual report tracks several key semiconductor vendors, including both fabless companies and integrated device manufacturers, and analyzes portfolio trends, vendor-specific strategies, and end-market trends and implications
  • Update on industry trends and ecosystem partnerships
  • Expectations for the IT infrastructure market
  • Presentation decks for all TBR Insights Live sessions are available to Insights Flight subscribers. Click here to send the above presentation straight to your inbox.

    Fujitsu’s Innovative Approach to GenAI: Amalgamated AI Strategies

    At a new Silicon Valley facility, Fujitsu hosted about 20 industry analysts and over 200 guests for a day of presentations on emerging technologies like quantum computing and AI. The following special report reflects conversations TBR had with Fujitsu leaders and highlights Fujitsu’s role in the technology ecosystem.

    Fujitsu’s Superpower: Fusing Compute Power with AI

    After a year of relentless hype about the promises of generative AI (GenAI), Fujitsu Research’s leaders structured their presentations during the Fujitsu ActivateNow Technology Summit around a relatively simple and compelling story: GenAI is fundamentally AI, and Fujitsu has successfully deployed a wide range of AI-enhanced solutions.

     

    By observing which business challenges can be addressed with AI, and then developing and productizing AI-enhanced solutions, Fujitsu has built an amalgamation of AI solutions, a collection that is worth more than the sum of its parts. The latest fad, GenAI, fits within this collection. According to Fujitsu leaders, the company has delivered over 7,000 AI-enhanced solutions, providing a strong foundation to tap into as GenAI is more widely adopted. TBR recognizes the Japan-centric nature of the majority of Fujitsu’s AI uses cases but sees the value in playing to the company’s strengths.

     

    Among these strengths, Fujitsu’s leaders noted that the company’s superpower (TBR’s word, not theirs) comes from fusing compute power with AI. One of the guest speakers reinforced that sentiment by noting that GenAI is feasible only because of the extreme computational power utilized. Fujitsu has recognized that being good at compute is absolutely necessary to be good at GenAI.

     

    In TBR’s view, this potentially unique combination of compute power and AI, at scale, could separate Fujitsu from peers as enterprises begin the slow process of recovering from the unfulfilled promises of GenAI hype and implementing the changes needed to progress from pilot to scaled deployments. Fujitsu’s leaders explained that their strategy to accelerate that progress started with the launch of a free AI platform, dubbed Fujitsu Kozuchi (“magic hammer” translated from Japanese), essentially a GenAI sandbox, which the company has now begun to commercialize through a freemium business model.

     

    Critically, Fujitsu has tracked activity within the sandbox to determine which AI use cases and associated technologies gained the most client traction and have significant revenue upsides for the company. Fujitsu has been transitioning these uses cases, smartly, from free to use to pay for scale. Fujitsu’s Kozuchi platform spans seven AI areas: GenAI, Predictive Analytics, for Text, AI Trust, XAI, for Vision, and AutoML.

     

    In TBR’s view, Fujitsu’s experimentation with AI commercial models while marrying inherent compute power to the potential of GenAI only works because of Fujitsu’s extensive experience with AI and credibility with clients and ecosystem partners. Fujitsu needed a solid foundation in both compute and AI to be well positioned for accelerated growth around GenAI.

     

    Additionally, Fujitsu’s broad-based portfolio, including its family of HPCs (high- performance computers) as well as the lower power consumption Fujitsu ARM-based processor — the latest version is scheduled to be released in 2027 — can help the company compete for managing AI workloads, specifically machine learning ones. With security built into the hardware, these processors can also help Fujitsu better appeal to clients in highly regulated industries, including the public sector, emergency response and public safety, healthcare and telco, among others. While built-in security is not a unique feature to Fujitsu, it is a necessary building block as it enables the creation of a strong tech-led AI story around developing and managing large language models.

    Exactly the Right Time to be Strong in Analytics and AI

    TBR’s Voice of the Customer research shows an additional component to Fujitsu’s potential GenAI-related growth. In TBR’s December 2023 Digital Transformation: Voice of the Customer Research, analytics topped the list for priority investments in technologies supporting transformation, displacing cloud and cybersecurity for the first time since TBR started tracking the data six years ago.

     

    The report notes: “Analytics is now the top technology buyers choose to support their DT [digital transformation] programs, with AI tools and GenAI ranking in the top six, thus heightening buyers’ expectations for vendors to deliver timely ROI that is tied to ongoing business process and/or IT modernization transformation as implications of technology complexities extend beyond data science, thus creating opportunities for vendors that can manage broad-organizational relationships. Addressing multidisciplinary skills gaps will be key.”

    Sustainability and Innovation

    Fujitsu’s presence and history in the Silicon Valley, which spans 30 years, enabled the company to develop a deep innovation ecosystem. Fujitsu’s CEO of Research of America, Indradeep Ghosh, and Global CTO, Vivek Mahajan, discussed the expansion of the company’s innovation efforts and how Fujitsu has shifted toward sustainability impacts. At the company’s recently opened facility, Fujitsu remains in close proximity to its key partners, including technology vendors as well as smaller, more specialized firms, which can drive collaboration and innovation efforts.

     

    Further, Fujitsu is able to work with universities including Carnegie Mellon University and the nearby Stanford University to deepen its AI, analytics, data utilization and digital twin expertise. Through its innovation efforts, Fujitsu looks to drive social change and leave a positive impact on society, in addition to gathering business intelligence.

     

    To contribute to societal change, Fujitsu is prioritizing sustainability with a focus on slowing the impacts of climate change. Fujitsu leverages its expertise and insights to develop technologies and services that benefit the environment and society. Developing sustainability services and solutions in collaboration with U.S.-based universities and companies could encourage local enterprises to establish carbon and energy reduction goals.

     

    While sustainability and carbon reduction initiatives have stronger traction in Europe, Fujitsu’s efforts will help transform local clients’ global operations. Fujitsu is considering the long-term impact, which will create new opportunities for the company to drive digital transformation projects across regions outside Japan.

    Quantum

    Quantum technologies have long been ingrained in Fujitsu’s portfolio and technologies, starting with its in-house development of computing and high-performance computing in the 1990s. Fujitsu has continued to expand the compute power of its quantum technologies enabling the company to address a wider range of challenges, with societal issues the most recent addition. Building out its base and capabilities, in addition to establishing itself as a global technology company, have helped Fujitsu explore the U.S. market. Fujitsu is pursuing two strategies around quantum that will give the company an edge over its technology-centric peers.

     

    First, as CTO Mahajan noted during the event, “We [at Fujitsu] are very willing to transfer our IP.” The willingness to give away IP expands Fujitsu’s addressable market. This openness to IP adoption provides both Fujitsu and prospective customers with an advantage, as it raises awareness of the company’s platform and ability to expertly deliver, implement and manage quantum technology.

     

    Second, Fujitsu’s plans include the capability to build a quantum computer at a client’s site, actually bringing the hardware to a client rather than providing quantum services from a Fujitsu site. By creating on-site hardware stacks, Fujitsu will be able to integrate with clients’ existing or preferred technologies, enabling the use of new capabilities. With the ongoing convergence of technologies, the ability to work across and with a variety of platforms will strengthen Fujitsu’s overall positioning within the space.

    GenAI

    Despite possessing the GenAI superpower of fusing the company’s compute power with its AI expertise, Fujitsu has, by its leaders’ own admissions, struggled to gain market recognition as a top player in the overall AI space. One approach Fujitsu has begun pursuing focuses on influencing the wealth of AI startups. TBR’s casual observance of the many startup-affiliated name tags at the ActivateNow event indicated this approach may have generated some early traction.

     

    In TBR’s view, focusing on startups reinforces Fujitsu’s corporate culture and mindset, which view technology as central to everything Fujitsu does. The company’s leaders also stressed their efforts to leverage academic research and the broader technology ecosystem as a way to echo Fujitsu’s message of “converging technologies,” a concept that TBR believes hews closely to emerging trends (see TBR’s 2024 Professional Services Predictions and 2024 Digital Transformation Predictions).

     

    Applying the company’s blockchain technology to its AI and GenAI assets could strengthen Fujitsu’s position in the space and grow its recognition outside of Japan. The need to regulate AI continues to expand with emerging use cases. Fujitsu’s expertise around blockchain, including Fujitsu Data & Security Technologies for Sustainability Transformation, aligns closely with data protection and regulation, creating the opportunity for the company to apply these capabilities to AI. Fujitsu’s blockchain solutions add a layer of identity and protection to verify real data and information, protecting against external threats.

    Sustainability and Consulting as Critical Next Frontiers for Fujitsu

    Notably, Mahajan’s first topic was global warming — as he stated, “boiling” — and the opportunity to apply technology to solve climate challenges. His comments conformed with Fujitsu leadership’s sustained message around competing globally and providing something valuable to clients, but TBR cannot recall a similar situation in which the global CTO of a technology-centric company led with global climate change.

     

    For the rest of 2024, TBR will listen for similar emphases from CTOs and other C-Suite leaders at the start of technology events. Meanwhile, Fujitsu Uvance provides Fujitsu with resources to develop and deepen the company’s expertise within vertical markets as well as horizontal business areas, allowing the company to drive transformation projects further enhanced by ESG (environmental, social and governance) initiatives.

     

    More specifically, Fujitsu can narrow its scope within markets as clients diverge and look to embrace sustainable solutions and achieve outcomes. Leading with the Fujitsu Uvance brand allows Fujitsu to integrate sustainable solutions within specific vertical markets including sustainable manufacturing.

     

    Lastly, with increasing client concerns around trusted partners and technology, Fujitsu Uvance’s AI Ethics and Governance Office can help the company establish digital trust in digital transformation projects and help secure Fujitsu’s relationships. Focusing on trust and ethics for the use of AI technologies will allow Fujitsu to use AI more effectively both internally and with clients.

    Amalgamation of AIs and Connected Technologies Help Tell Fujitsu’s AI Story

    TBR came away from the Fujitsu ActivateNow Technology Summit with two new ideas about Fujitsu and a few questions:

    • First, TBR appreciates that Fujitsu’s combination of compute power and proven AI expertise makes the company a significant competitor and/or alliance partner for nearly every player fighting to turn GenAI hype into revenue. Second, Fujitsu’s vision of “converging technologies” aligns exceptionally well with the more tectonic trends TBR has been observing in the technology space, indicating that Fujitsu’s market positioning is more strategic than transactional or opportunistic.
    • Going forward, will Fujitsu be able to leverage AI startups to shift enterprise buyers’ perceptions about Fujitsu as an AI company? Can Fujitsu successfully bring Japan-centric AI use cases to clients in Europe and North America? And will Fujitsu develop an alliance strategy that plays to its strengths in compute power and emerging technologies while leveraging ecosystem partners’ strengths in other critical component areas for enterprise buyers?

     

    TBR anticipates that Fujitsu’s concept around the amalgamation of AI solutions will become a widely shared approach to GenAI. As the hype slows down in 2024 and buyers look to trusted vendors with both scale and proven use cases, as well as the ability to connect existing technologies — especially existing AI-enabled solutions — to GenAI deployments, many of Fujitsu’s peers and alliance partners will be talking about a broader understanding and framing of AI within the enterprise.

     

    TBR covers Fujitsu in quarterly reports and as one of 30-plus vendors in TBR’s quarterly IT Services Vendor Benchmark. In addition to this event perspective, TBR has published numerous special reports on Fujitsu events and developments over the last decade.  

    U.S. Telecom Market Outlook: Public Sector Revenue Growth for 2024 [Infographic]

    U.S. Telecom Market Research: Key Trends and Market Share

    Telecom Vendor Market Share and Competition

    TBR estimates public sector revenue from U.S.-based service providers grew 6.1% year-to-year in 4Q23 to $5.4 billion (highlighted in the TBR infographic below). Total public sector revenue growth was driven by wireless revenue, which increased 9% year-to-year to an estimated $2.8 billion. First responder initiatives such as AT&T FirstNet and Verizon Frontline are the main drivers of public sector wireless revenue growth as these units are attracting public safety agencies seeking enhanced reliability to support mission-critical workloads and use cases.

     

    TBR estimates network modernization programs such as the General Services Administration’s (GSA) 15-year Enterprise Infrastructure Solutions (EIS) program, which has generated $26.6 billion in business volume since it began in 2017, are driving public sector wireline revenue growth. However, agency migration off legacy contracts such as the GSA’s Networx program is partially offsetting revenue growth from modernization programs such as EIS.

    Public Sector Impact on U.S. Telecom Market Segmentation and Size

    Market Dominance and Emerging Competition

    AT&T, Verizon and Lumen Technologies are still significantly outpacing rivals in total public sector revenue, largely due to the companies’ established footing in the U.S. federal market. AT&T and Verizon also benefit by offering robust portfolios of both wireless and wireline solutions, whereas some competitors, such as Lumen, predominately provide wireline services and others, such as T-Mobile, only offer wireless solutions.

     

    Conversely, Charter and Comcast continue to generate the bulk of public sector revenue from U.S. state and local agencies but are gradually gaining traction in the federal market, including by participating in the EIS program via Charter’s partnership with AOC Connect (Core Technologies) and Comcast’s acquisition of Defined Technologies. T-Mobile is also steadily increasing public sector revenue as it is attracting agencies with its 5G capabilities and Connecting Heroes initiative for first responders.

    First Responder Initiatives and EIS Migration in the Public Sector

    Though TBR expects first responder initiatives will remain a key driver of public sector revenue growth over the next several years, the market is gradually maturing, as evidenced by FirstNet annual customer growth decelerating from 1.4 million new connections in 2022 to 1.1 million new connections in 2023. Conversely, the EIS program provides significant long-term revenue opportunity for contractors but short-term revenue generation has been hampered by many agencies delaying EIS migrations due to factors including uncertainty around long-term budget and technology requirements.

    Next Steps: Navigating the U.S. Telecom Public Sector

    Dive deeper into TBR’s U.S. telecom operator public sector research at our upcoming TBR Insights Live session. TBR Senior Analyst Steve Vachon will explore overarching market trends and examine the revenue performance and go-to-market strategies of leading U.S. operators competing in the segment. Additionally, he’ll look at key trends and developments at the federal, state and local government levels that are impacting the business performance of these operators.

     

    Register now for the May 23 event!

    GenAI Update: Client Retention, Digital Transformation and Business Unit Destruction

    Discover What Lies Ahead for IT Services Vendors and Consultancies in the Era of GenAI

    In the first few months of 2024, TBR’s Professional Services Team traveled to Florida, California (twice), Texas (twice), Boston (twice) and India, meeting with a wide spectrum of IT services vendors and consultancies and hearing firsthand about their strategies, investments, priorities and expectations. Now, Principal Analysts Patrick M. Heffernan and Boz Hristov and Senior Analyst Kelly Lesiczka are reflecting on the ideas, promises and capabilities that stood out. Additionally, the team has looked at strategies that appear well-suited (or not) to a generative AI (GenAI) age and what will be changing ― for the IT services vendors and consultancies, their technology partners, and their clients ― over the summer and into 2025.

    Click the image below to watch the full TBR Insights Live Session on the GenAI impact on client retention, digital transformation and business unit destruction, including:

    • What technology trends for 2025 are emerging as IT services vendors and consultancies revise their strategies and make new investments
    • Which IT services vendors and consultancies will outpace peers as GenAI moves out of the hype cycle into a more measured phase
    • The biggest surprise in TBR’s travels in the first half of 2024

    Presentation decks for all TBR Insights Live sessions are available to Insights Flight subscribers. Click here to send the above presentation straight to your inbox.

    Comcast Business Accelerates Focus on Global Enterprise and U.S. Public Sector

    TBR perspective

    Comcast Business (Nasdaq: CMCSA) is entering a new phase of evolution as the unit aims to extend its enviable 18-year track record of consistent, steady revenue growth in the face of new competitive threats and market maturity. Since its formation, Comcast Business has increased revenue from $256 million in 2006 to $9.3 billion in 2023, a CAGR of nearly 24%, and is on a path to achieve $10 billion in revenue in 2024.

     

    Most of this growth over the past 18 years stemmed from the SMB segments, where Comcast Business’ superior DOCSIS-based, hybrid-fiber coax (HFC) fixed broadband offerings were priced right compared to non-fiber-to-the-premises (FTTP) telco offerings and met a market need for more bandwidth. This strong competitive advantage enabled the company to take a commanding market share lead (i.e., Comcast Business now has over 50% market share in the small business segment in its network footprint markets).

     

    However, the broad prevalence of 5G fixed wireless access (FWA), which Verizon (NYSE: VZ), T-Mobile (Nasdaq: TMUS) and a range of other mobile network operators across the U.S. market are actively promoting, has created a strong competitor to Comcast Business’ fixed broadband offerings, especially in the small business segment, which tends to include businesses with fewer than 25 employees.

     

    This headwind, in addition to overall market maturity in the SMB domain for network services (e.g., internet access and VoIP) and the sustained decline in pay-TV subscriptions, has prompted Comcast Business to focus on selling small businesses value-added services and solutions, such as mobile broadband (via its MVNO offering) and internet failover services (using cellular technologies) as well as network security, such as SD-WAN.

     

    Additionally, from a global enterprise and U.S. public sector perspective, Comcast Business has been driving growth from these higher-end segments, thanks to acquisitions and organic growth, but the unit is encountering stiff competition from entrenched incumbents, notably AT&T (NYSE: T) and Verizon.

    Impact and opportunities

    Solution sales approach is winning formula for larger customers

    Comcast Business’ sales approach is evolving, especially as it pertains to its larger customers. Leveraging best practices from Masergy (such as orienting salespeople to sell solutions versus point connectivity services, and fine-tuning how to assemble solutions with out-of-footprint aspects) has enabled Comcast Business to broaden the scope of its deals and embed itself deeper into its customers’ operations, which reduces churn and drives more favorable outcomes for both sides. Masergy has also helped Comcast Business better understand the SLA requirements of larger entities, preparing Comcast Business to be more relevant to a broader swath of customers.

    Mobility stabilizes SMB revenue amid FWA threat

    Comcast Business’ cellular MVNO offering has enabled the unit to offset (or prevent via bundling) revenue erosion in fixed broadband and pay-TV, but there are limitations to how much this service can contribute because Comcast’s arrangement with Verizon restricts customers to 20 lines per account.

    Comcast Business has also been cross-selling network security products (such as SD-WAN and SASE-based solutions) to SMB customers in a bid to capture more share of wallet.

    AI is not new for Comcast

    Comcast Business leaders outlined several ways the unit has been part of the AI revolution since the technology entered the scene in the early 2010s. Specifically, Comcast has been using “traditional AI,” also known as predictive AI, for its TV remotes (i.e., built-in voice search function), customer care operations (i.e., chatbots) and network operations (e.g., anomaly detection and preventive maintenance), and the company claims it has 250 people on its AI team, including 35 employees who have PhDs.

     

    The next phase of AI embedment into Comcast Business’s operations pertains to GenAI, which is likely to be leveraged in customer care and sales domains initially. Comcast Business is also leveraging data and automation to provide key insights and tools to help customers make decisions as well as increase analytics and remediation capabilities.

     

    Additionally, Comcast Business is increasing the number of AIOps use cases and applying AI and machine learning (ML) across its managed solutions platform to improve service delivery, assurance and management, both for customers and the internal teams that support customers (e.g., network operations center [NOC] and security operations center [SOC], help desk).

    Comcast Business intends to balance AI and automation with the “human touch”

    Comcast Business leaders believe keeping humans in the loop is a differentiator in an AI-infused world and emphasized the need to balance AI and automation with human involvement in the unit’s customer interactions.

     

    One key way to achieve this balance is to keep a human in the loop and leverage AI and automation to augment and make existing salespeople and customer care agents more productive. Ultimately, business customers expect to be able to pick up the phone and talk to a real person in a quick and effective manner. AI and automation can help staff be more efficient in preparing sales proposals and resolving customer issues.

    International business strategy remains unclear

    Though Comcast Business’ domestic U.S. strategy and value proposition are clear and fine-tuned, the unit’s international strategy still seems disjointed, consisting of a patchwork of various acquisitions (e.g., Sky, Deep Blue Communications, Blueface, iTel, Masergy) and off-net partnerships with a range of service providers and vendors that seem to lack a clear and coordinated plan for growing revenue in the international business sector.

     

    Opportunities since the Masergy acquisition remain the strongest component of Comcast Business’ international approach, but much of this traction is driven by Comcast Business working with its U.S.-headquartered customers in their locations outside the U.S. rather than securing significant net-new organic customers from international markets.

     

    To leverage its international assets and drive sustainable growth, Comcast needs to formulate a cohesive strategy and competitive value proposition for non-U.S. markets, similar to the approach it has taken in the U.S. Focusing on specific countries and/or industries may be a prudent approach, at least initially.

    Nascent growth areas remain experimental and ad hoc

    Though Comcast Business continues to explore opportunities and be pragmatic in private cellular networks, edge computing and network APIs, the company acknowledged that sustained market development in these areas is lacking but that nascent opportunities may gain traction over time.

     

    Comcast Business is specifically focused on scalable use cases in which 5G is superior to Wi-Fi, such as computer vision and autonomous guided vehicles (AGVs), and on edge computing-related use cases where low latency is a requirement. Comcast Business is also focused on leveraging edge computing to make its internal network operations better, such as for localized content caching or for enhanced cybersecurity offerings.

    Do customers really need multi-gig symmetrical bandwidth?

    Comcast Business continues to trumpet the strength of its DOCSIS-based, HFC network platform, with multi-gig (up to 10Gbps) symmetrical bandwidth now heralded as the newest and best offering on the market.

     

    While this claim may be true, most businesses do not need that much bandwidth at one location. Therefore, Comcast Business’ claim could create a disconnect between what marketing is pushing and what customers actually need. As evidenced by the robust uptake of FWA, small businesses especially are more concerned with the value they are getting for the price paid, and they are migrating to lower-cost broadband offerings to obtain internet access that more closely meets their needs and aligns with what they are willing to pay.

     

    T-Mobile and Verizon are feeding this market shift to “rightsized bandwidth” through clever marketing and customer education about what businesses actually need. Comcast Business will need to demonstrate why its cutting-edge broadband offerings are necessary for its customers in order to justify the premium pricing.

    Conclusion

    Comcast Business remains a dominant competitor in the U.S. SMB market and a credible challenger in the U.S. enterprise and public sector segments. As FWA and market maturity challenge Comcast Business’ SMB segment, the company is preparing to offset this impact via stronger traction with larger entities. A more cohesive international strategy will strengthen Comcast Business’ growth profile, and TBR projects the unit has more years of steady growth on the horizon.

    Navigating the U.S. Telecom Public Sector Market: Trends, Strategies and Key Developments

    Dive Into Key Insights on U.S. Telecom Operators in the Public Sector Market

    TBR expects the U.S. telecom public sector market will sustain single-digit revenue growth in 2024. Network modernization under the EIS program will be a main driver of revenue growth, but operators will likewise be challenged by cannibalization from agencies migrating from legacy solutions and contracts. First responder initiatives such as AT&T FirstNet will remain predominant drivers of public sector revenue growth, but connection additions will likely decelerate due to market maturity. Emerging solutions in areas including 5G PCN, MEC and IoT currently account for a small portion of total telecom public sector revenue but provide long-term growth opportunities as more use cases develop.

     

    TBR’s U.S. telecom operator public sector research details and compares the initiatives, strategies and performances of the largest U.S. operators, including AT&T, Verizon, Lumen Technologies, T-Mobile, Comcast and Charter Communications.

    Click the image below to watch the full TBR Insights Live session on U.S. telecom public sector market trends and strategies, including:

    • Key trends and developments at the federal, state and local government levels that are impacting the business performance of U.S. operators
    • The impact of legislation, policies and funding in the public sector on the telecom industry
    • Trends in public sector segments including public safety and military
    • Ways the public sector is leveraging 5G private cellular networks, AI, AR/VR, security and hybrid work solutions

    Presentation decks for all TBR Insights Live sessions are available to Insights Flight subscribers. Click here to send the above presentation straight to your inbox.

    IT Services Market in 2024: Key Success Factors for Vendors

    While macroeconomic uncertainty challenges year-to-year revenue growth in the IT services sector, the trajectory beyond 2024 appears promising, largely due to the resilience of managed services bookings. to read more vendor analysis from our recently published research. 

    IT Managed Services and Revenue Growth Outlook

    Trends in IT Consulting and Professional Services

    Macroeconomic uncertainty will cause year-to-year IT services revenue growth to decelerate in 2024, according to the latest data in TBR’s IT Services Vendor Benchmark. However, IT services spending will continue as clients seek run-the-business managed services opportunities to operate in challenging market conditions characterized by inflation, foreign exchange rate fluctuations and political uncertainty.

     

    While clients continue to pursue digital transformation, macroeconomic uncertainty is pressuring discretionary spending, as evidenced by softening benchmark performance for the fifth consecutive quarter within the consulting and systems integration segment in 4Q23.

     

    The ongoing success of some vendors with large and long-term managed services deals suggests they are well positioned to navigate evolving buyer expectations. Maintaining trust with stakeholders through transparent messaging will be key, especially as managed services bookings take longer to convert into cash compared to consulting ones, a trend that could easily be misinterpreted.

     

    Client retention is not an easy task as it requires maintaining service quality throughout the client engagement and delivery cycles. Focusing on client success rather than meeting internal financial targets will be key for vendors, as salespeople and leadership can often lose their focus on priorities, especially during economic downturns.
     

    Click the image below to watch the on-demand replay of our Q&A on GenAI opportunities for legacy GSIs

    TBR Insights Live: GenAI Opportunities for Legacy Global Systems Integrators (GSIs)

    Global IT Services Market Insights and Vendor Strategies

    Vendors Shift Industry Mix

    Vendors continue to experience growth pressures in the financial services and telecom sectors in regions including the U.S. and the U.K. & Ireland. Expanding portfolios and resources across a broader spectrum of verticals, for example by building capabilities in manufacturing, enables vendors to diversify revenue streams and alleviate revenue growth pressures.

    GenAI Remains an Area of Investment

    Generative AI (GenAI) has been an area of investment over the past year across multiple vendors tracked in the IT Services Vendor Benchmark. Vendors are focusing on GenAI for two reasons: to use GenAI internally to bolster productivity, and to provide GenAI-related services to clients to drive revenue streams. The success of GenAI depends on good data. Efforts to adopt GenAI-enhanced solutions will persistently run into data issues, opening the door for consultancies and consulting-led IT services vendors to assist with data orchestration.

    Employee Attrition Is Decelerating

    Resource management trends are shifting from spikes in hiring and employee attrition in 2022 to selective hiring for in-demand skills, reskilling and upskilling, and a deceleration in employee attrition in 2023. Productivity initiatives and steady employee utilization will enable vendors to stabilize cost structures and invest in skills development to support revenue growth.

    Conclusion

    While macroeconomic uncertainty challenges year-to-year revenue growth in the IT services sector, the trajectory beyond 2024 appears promising, largely due to the resilience of managed services bookings. Despite macroeconomic uncertainty the revenue growth trajectory beyond 2024 is promising, driven by the resilience of managed services bookings.

     

    Vendors must adapt to strong demand by diversifying industry mixes, investing in emerging technologies like GenAI and prioritizing client success over internal financial targets. Moreover, as employee attrition decelerates and resource management trends evolve, vendors have opportunities to stabilize cost structures and invest in skills development, further positioning themselves for sustained revenue growth amid evolving market dynamics. Strategic adaptation and a focus on long-term client value will be essential for IT services vendors to thrive in the coming years.

     

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    Infosys’ Humble and Collaborative Culture Supports Commitment to Clients and Partners

     In March 2024 Infosys hosted industry analysts for its U.S. Analyst and Advisor Meeting. The packed agenda included client stories and technology partner presentations to reinforce Infosys’ role in the IT services and cloud market. Infosys executives consistently returned to a few main themes, including delivering business outcomes, maintaining trusted relationships, and focusing on speed, agility and commitment.

    Infosys’ Maturing Strategy, Backed by Localization, Training and Partners, Allows the Company to Sustain Client Trust Measured by Business Outcomes

    Across an afternoon, Infosys (NYSE: INFY) leaders hosted a steady stream of clients and technology partners who discussed how they have worked with Infosys to apply technology to business problems and generate both cost savings and growth opportunities. Notably, every panel included at least one client, coming from a wide range of industries and describing a variety of problems addressed — and solved — by Infosys.

     

    In the latter half of the afternoon, Infosys shifted the event’s focus to Oracle (NYSE: ORCL), including holding panel discussions with several Oracle and Infosys executives, most notably Amy Lewis, VP of Strategic Alliances, Oracle, and Oracle’s VP of Strategic Alliances and Sreekumar Sreedharan, VP and Global Lead Oracle Services, Infosys. TBR believes Infosys’ decision to persistently turn over the stage to clients and partners reflects the company’s confidence in its message and capabilities and a maturing of Infosys’ strategy, centered on commitment.

     

    In opening remarks followed by a panel discussion about Infosys’ localization strategy, Infosys EVP Rajesh Varrier, VP Deverre Lierman and Associate VP Ranjana Venkatesh Joshi provided an update on the company’s six U.S. hubs. The six Technology and Innovation Hubs are focused on innovation, technology and education, with a few explicitly tied to universities and all focused on a core set of offerings, such as AI, machine learning and user experience design. Complementing these hubs, Varrier and the other panelists described the company’s 21 Proximity Centers as a foundational investment in Infosys’ effort to embed localization into the company’s overall strategy. Additionally, the panel elevated the value of Infosys Living Labs and tied the discussion to the era of generative AI (GenAI).

     

    Overall, the panel’s description of Infosys’ commitment to developing talent through university programs, apprenticeships and professional training confirmed Infosys’ focus on the U.S. market and dedication to the company’s employees. This commitment is further amplified through Infosys’ use of AI and proprietary knowledge management platforms such as Wingspan.

     

    In TBR’s view, IT services vendors like Infosys, whose India-based talent pool is necessary to its business model, must smartly balance low-cost delivery with on-site, highly trained, localized professionals who can go beyond clients’ technology and into their core business challenges. Clients and Infosys executives further solidified the role of the Innovation and Technology hubs, using the tagline, “Experience the Commitment.”

    Infosys’ Data Capabilities and Humble Approach to Clients’ Data Issues Allow the Company to Build a Strong Foundation for GenAI Success Backed by Cloud

    For the remainder of the afternoon, Infosys’ presentations included sessions on Infosys Topaz; Infosys Cobalt; Oracle transformations; ways customers and partners are tackling supply chain transformation; and testimonials from clients in the energy, telco, banking, automobile and retail industries.

     

    The common theme among client use-case discussions revolved around data. It is easy to jump into a GenAI discussion and win a deal or two, but Infosys understands that without the right data, GenAI models are only as good as the data you feed them, reflecting the company’s humble position in the market. And Infosys’ data work went beyond data cleansing and data wrangling, often including data strategy, providing a strong use case that elevates the company’s value proposition with clients and alliance partners.

     

    For example, Infosys helped a retail client create a data foundation supporting the client’s digital journey, which included bringing customer data from various sources together to develop personalized experiences and using AI models to generate recommendations that would help associates in stores and online. As Infosys helped with building the data foundation, the company also accounted for developing responsible AI applications because, as the client posited, “Customer data will not change, but how to interact with the customer might change.
     
    And for any of this interaction to happen, people have to trust the data to interact with the data.” In another example, an infrastructure client replaced an incumbent with Infosys because of Infosys’ “transparency, technology and business knowledge, and innovation.” Infosys helped the infrastructure client with data strategy development and execution, once again highlighting the company’s commitment to service quality and execution and its willingness to think about foundation services before the potential additional opportunity in its client approach.

     

    The sample of use cases at the event strengthened our understanding of the type of company Infosys is, as it continues to invest across its core portfolio offerings. For example, since the launch of Infosys Topaz, the company’s suite of AI services and solutions, in 2023, Infosys has already conducted over 250 experiments with clients around the use of AI, as many have begun to scale their deployments, supporting clients’ efforts to accelerate growth while reaching operational efficiencies. Infosys Technology and Innovation Hubs have played a critical role in demonstrating Infosys Topaz’s value in enabling the company to scale experiments.

     

    Relying on its industry playbook and ecosystem of partners, both strategic and specialized ones, with the goal of delivering business outcomes has helped Infosys thrive in client conversations, as according to Infosys, the company continues to also apply GenAI to its own operations, rolling out new capabilities every six weeks.

     

    Meanwhile, Infosys Cobalt remains the linchpin in Infosys’ cloud and overall digital transformation story as the suite continues to support clients’ evolving needs. From migrating clients to cloud to delivering industry cloud to now providing the foundation for AI, Infosys Cobalt and cloud in general, as Infosys EVP Anant Adya positioned it, have become the operating system (OS) for enterprises.

     

    It is a tall order, but Infosys, drawing on its abilities to stitch digital assets together and then execute on clients’ transformation programs, has earned the trust of clients and partners seeking to capitalize on the opportunity cloud and AI present. One could argue that some of Infosys’ peers have similar strategies of bringing cloud and AI together. Infosys’ ability to stay faithful to its value proposition and committed to all parties separates the company from just being willing to take risk to actually carrying the burden through its commercial and SLA agreements. In short, Infosys facilitates transformation and innovation, with a commitment to delivering business outcomes.

    Infosys-Oracle Relationship Provides a Strong Use Case of Trust, Transparency and the Future of Ecosystems

    Building on almost three decades of experience, executives and joint clients from Infosys and Oracle brought the relationship to life, demonstrating the commitment and trust between the two organizations. We recognize it is not easy for Oracle and Infosys to be present at each other’s conference and/or speak on the other’s behalf, given their broader partner ecosystems and need to maintain neutrality.

     

    But having a dedicated track to discuss the value of the relationship — as Lewis described it, “Infosys is a partner for complex transformations” — sends a strong message to clients seeking to work with transparent partners who understand each other’s portfolios and go-to-market motions. The success of the relationship requires leadership alignment, commitment and sustained investment in training, and, according to Oracle, Infosys is its No. 1 partner in terms of certifications.

     

    The strategic alignment helps, as Oracle does not need to ask, “Why Infosys?” because Infosys is in the verified space, especially as it pertains to executing complex transformation programs at scale. Meanwhile, Oracle’s constant portfolio innovation has also helped Infosys elevate the value of the relationship in dealing with both existing and new clients.

     

    Deploying a three-in-a-box governance model, including Oracle, Infosys and a customer, not just at a project kickoff but at every milestone, provides an opportunity for each party to share feedback around portfolio and client management. These motions are often tested in Oracle’s workshops days, during which Infosys discusses the art of the possible of Oracle cloud with existing Oracle clients seeking to embark on cloud transformation programs. The trust-but-verify approach Oracle has taken — which has included elevating Infosys to become one of the few cloud services providers on Oracle’s partner roster by conducting a third-party audit of Infosys’ cloud practice to ensure strict standards are met in procuring Oracle software on behalf of the client — highlights how serious each company takes the relationship.

     

    Several joint clients’ use cases were presented at the event, adding the necessary details to reflect the depth of the relationship. One client spoke about the importance of delivering IP for niche areas, reference architectures and accelerators as being critical to Infosys’ industry model. Another client discussed switching to Infosys after selecting an out-of-the-box systems integration vendor because of Infosys’ flexibility and demonstrated change management capabilities for the implementation of the Oracle HCM solution. As both Infosys and Oracle evolve their portfolios and go-to-market strategies, accounting for the implications of GenAI while remaining flexible yet connected to the broader ecosystem will be critical to success.

     

    By cozying up to other hyperscalers, Oracle aims to bring more database workloads to the cloud and take back waning database market share. For example, the Oracle-Microsoft (Nasdaq: MSFT) multicloud alliance continues to evolve. Given their large respective database and application footprints, Oracle and Microsoft have always had a unique opportunity to partner and address the requirements of joint customers looking to run the right workload in the right environment.

     

    At the center of this partner opportunity remains a series of interconnected cloud regions that offer a low-latency connection between Oracle Cloud Infrastructure (OCI) and Microsoft Azure, which we suspect is largely appealing to customers who want to build and run Microsoft applications and connect them with Oracle Database on OCI. However, since the 2019 launch of Oracle-Azure interconnected regions, Oracle has formalized its commitment to a multicloud strategy and is pursuing new opportunities with Microsoft that should help both vendors meet their respective goals, which for Microsoft is driving Azure usage and for Oracle is all about migrating legacy databases to clouds outside OCI to take back database market share from born-in-the-cloud peers.

     

    Building off the Oracle Database Service for Microsoft Azure offering launched over a year ago, Oracle recently announced Oracle Database@Azure, a broader portfolio initiative that expands the availability of Oracle database services, including Autonomous Database and Exadata, in Azure data centers. In addition to expanding service availability and ensuring customers can deploy their Oracle database workloads within a single data center, Oracle is taking steps to simplify both the procurement and support processes for customers. For instance, customers can purchase Oracle Database@Azure via the Azure Marketplace using their existing Azure commitments and take advantage of a joint support model from both Oracle and Microsoft.

     

    In TBR’s Top 3 Predictions for Digital Transformation in 2024, we wrote:

     

    “The launch of multiparty alliances beyond the traditional, preferred two-dimensional relationships and the rise of cobranded facilities can help promote these relationships and bring DT to customers in a package rather than in multiphased approaches. While GenAI will be the tool that forces vendors to establish better data strategies, the rise of the superpowers will also force vendors to rethink their go-to-market, sales and portfolio efforts centered on mutual accountability and portfolio knowledge.

     

    “Prioritizing the needs of partners and enterprise buyers over internal growth aspirations will position vendors across the ICT value chain as leading ecosystem participants. It sounds like an idea born in marketing, but digital transformation outcomes will require multiparty business networks that bring together the value propositions of players across the technology value chain.”

     

    We see Infosys as the right partner to pursue such a multifaceted approach, especially as the company understands the value of its core competencies and, more importantly, knows its partners’ strengths. Deploying multifaceted alliance frameworks requires establishing strong governance models rooted in accountability, especially as expanding wallet share from existing accounts by pitching new capabilities can be much harder than hunting new logos.

     

    During a similar event in 2023, Infosys had SAP (NYSE: SAP) on stage. Given Infosys’ pattern, we would not be surprised if the company invited Microsoft along with Oracle or SAP next year. Time will tell, but given how buyers look to the ecosystem to procure services, such a move would not be out of the ordinary.

    TBR’s Extensive, Ongoing Coverage of Infosys

    TBR will continue to cover Infosys within the IT services, ecosystems, cloud and digital transformation spaces, including publishing quarterly reports with assessments of Infosys’ financial model, go-to-market, and alliances and acquisitions strategies.

     

    For comparison with Infosys’ peers and other IT services vendors, TBR includes Infosys in our quarterly IT Services Vendor Benchmark; our semiannual Global Delivery Benchmark, Cloud Ecosystem Report, and Adobe & Salesforce Ecosystem Report; and our annual Decarbonization Market Landscape and Innovation and Transformation Centers Market Landscape. TBR is also planning to include Infosys as part of our Oracle, SAP and Workday Ecosystem Report, which is scheduled to be published in the summer of 2024.

    2024: A Transitional Year for GenAI and PC Markets

    PC vendors are embracing the AI PC in hopes that this new offering will propel a vigorous recovery from the recent post-pandemic slump in PC sales. There are, however, only a few unexciting current AI applications that take advantage of the new AI hardware. Compelling applications that rely on PC and smartphone hardware will become available starting in 2025.

    The Current State of AI Use in Devices

    Currently, both PCs and smartphones provide access to cloud-based generative (GenAI) applications, primarily through browsers but also including some application integration in programs like Microsoft Copilot and Adobe Photoshop. Some machine learning (ML) functions, such as computational photography on smartphones and background blurring and noise filtering on PCs, are also performed on devices.
     

    TBR Senior Analyst Ben Carbonneau discusses trend expectations for the Devices industry in 2024 and how TBR’s research will address market activity in the coming year. Click the image below to watch the full video now!

    2024: GenAI and PCs at a Pivotal Crossroad

    As TBR analyzes the devices market for both individual vendor coverage and semiannual benchmarks, we expect the following impacts this year:

    The AI PC Will Generate Interest but Will Not Greatly Affect Sales in 2024

    Microsoft and the PC vendors are promoting AI PCs, which are equipped with neural processing unit (NPU) capabilities. Microsoft is adding NPU-powered video background blurring to Windows 11, but currently there are few other applications where NPUs help.

    The AI PC Will Drive Conversations Between Customers and OEMs

    The rapid evolution of GenAI is disruptive everywhere, and that includes PC customers who want to know what devices to buy for which employees at what time. This is an opportunity for deeper relationships among OEMs, customers and the channel.

    Privacy Will be an Important Issue, Starting in 2024

    One of the promises of GenAI is better management of private information like emails, messages and even voice conversations. These applications require absolute privacy. They must run and learn locally, on the device. Apple’s reputation for privacy will help the company here.

    Conclusion

    In 2024 the introduction of AI PCs by Microsoft and PC vendors, featuring NPU capabilities, has generated interest but is not anticipated to significantly boost sales. While Microsoft is incorporating NPU-powered features like video background blurring into Windows 11, applications for NPUs currently remain limited. However, the emergence of AI PCs has sparked discussions between customers and OEMs, paving the way for deeper relationships within the industry.

    As GenAI continues to evolve rapidly, privacy concerns have become increasingly important, particularly regarding the handling of sensitive information such as emails and text messages. The demand for absolute privacy necessitates that AI applications run and learn locally on the customer’s device, a trend in which Apple’s strong reputation for privacy may play a significant role.