My previous and current careers collided last week when the Kingdom of Saudi Arabia’s Public Investment Fund (PIF) announced a one-year moratorium on doing business with PwC (details continue to emerge even as I type this and the exact contours of the new Saudi PIF and PwC arrangement will likely shift, so I won’t try to evaluate a moving target). Having spent 13 years as a U.S. diplomat — including living in the Middle East for four years and taking at least a dozen trips to Saudi Arabia while working at the U.S. State Department, White House, and Department of the Treasury — I have some thoughts on how business and politics work in that region. I’ve also spent almost two decades trying to understand the Big Four firms, and I recently sat down in Washington, D.C., with some of PwC’s leadership to discuss the market, the firm’s ecosystem and what’s coming in 2025.
Bottom line upfront: Understand that this is a Saudi story, not a PwC story, although undoubtedly it doesn’t feel that way in PwC’s corridors right now. Saudi Arabia has an opportunity to send some critical messages to players in the country, in the region and globally, and the kingdom is taking advantage. If you’re among the many IT services companies and consultancies — and other multinational companies, although they’re less of a concern to me professionally right now — investing aggressively on growth in the Middle East and you’re misinterpreting this recent development as what PwC did wrong instead of listening to what the Saudis are trying to say, take a long pause and step forward only cautiously.
What are the Saudis saying?
First, the Saudis, through the PIF, have issued a warning — a shot across the bow — to management consultancies, IT services companies and others that have been enjoying a seemingly relentless flow of funds from the kingdom: Tighten up your accounts, sharpen your delivery, ensure your value proposition and the Saudis’ return on their investment in you will be abundantly clear. The McKinsey & Co., Boston Consulting Group and Deloitte partners may be enjoying some schadenfreude at the moment, but they understand the message coming from the Saudis: Bring tangible value, or don’t send us a bill.
Second, the Saudis have been feeling the positive heat of the world’s economic attention for a few years now, particularly as new leadership has pushed hard to invigorate the non-oil part of the kingdom’s economy. I wrote recently about what that has looked like in the United Arab Emirates — based on a webcast by PwC, coincidently — and for the Saudis, the initial success of those efforts and the increased global market and investor attention have been welcomed. What better time to send a message that Saudi Arabia has a transparent, high-functioning, rules-based economy, long since evolved from the souks of the old days and the opaqueness that characterized so much of the kingdom as late as the mid-2000s?
The Saudi Arabia and PwC story serves that purpose perfectly: We’re holding accountable a Big Four accounting and consulting firm and subjecting them to our high standards, just like every other advanced economy. The particulars of the kingdom’s regulatory environment and business culture can certainly be up for discussion, but the message, again, is clear: Everyone needs to play by the Saudis’ rules.
And maybe that’s the biggest takeaway as this story develops. Operating in the Middle East requires local knowledge, a regional presence, and an on-the-ground understanding that can only be sustained by being there. Yes, I am writing this 6,303 miles from Riyadh, but lessons learned hard are lessons long remembered, even over long distances. TBR has seen a surge in IT services companies’ and management consultancies’ investments in the Middle East and heard expectations around growth in the near term.
In my view, those investments and expectations are smart strategies and well founded. It’s the execution that matters, and a significant — perhaps the most significant — part of that execution comes from knowing the ground, reading the messages being sent, and understanding the story behind the story.
https://tbri.com/wp-content/uploads/2025/03/value-jigsaw-puzzle-concept_bagi1998_getty-images-signature.png10801080Patrick Heffernan, Practice Manager and Principal Analysthttps://tbri.com/wp-content/uploads/2021/09/TBR-Insight-Center-Logo.pngPatrick Heffernan, Practice Manager and Principal Analyst2025-03-05 10:19:202025-03-05 10:19:20Saudi Arabia’s Message to Global Firms: Deliver Real Value or Step Aside
AI’s promise persists, but SaaS vendors await tangible revenue gains
While emerging technology AI and generative AI (GenAI) has been widely discussed, it has yet to translate into significant revenue growth for SaaS vendors. This is partly due to customers’ skepticism surrounding the technology and a persistent desire to limit IT spending. Despite this, vendors across all cloud segments have continued to invest heavily, through R&D and capital expenditures, showing a strong willingness to make substantial upfront investments for long-term gains. As a result, AI development strategies have progressed according to previously established road maps, a trend TBR expects to continue through 2025.
For SaaS vendors, the long-term opportunity lies in the ability to upsell GenAI solutions integrated directly into their existing workflows. While all major SaaS providers have made such solutions generally available, revenue from GenAI tools has not been enough to offset the slowing top-line growth many vendors are experiencing. Issues like cost, reliability, data governance and use-case validation remain obstacles to broader adoption, preventing the technology from becoming the growth driver vendors had hoped. Nevertheless, enterprise SaaS vendors continue to hold an optimistic long-term outlook, with many believing the technology will become a strategic necessary. This has prompted vendors to stay committed to their previously established AI road maps.
Learn how scale, innovation and even repatriation will moderate cloud market growth in 2025.
Download TBR’s 2025 Cloud Market Share Predictions special report today!
SaaS vendors will shrug off growing GenAI disillusionment, focusing on the long term by prioritizing GenAI agents within their development strategies
In the latter half of 2024, cutting-edge GenAI tools evolved from copilots that could perform a single task based on natural language prompts to agents capable of handling multiple tasks, paving the way for greater automation. This was a logical progression and an important step in vendors’ efforts to automate workflows.
Click the image below to watch this recent TBR Insights Live session, Cloud Market 2025: How GenAI Will Shape the Future
Now that agents are available, expanding their capabilities has become the next priority, with vendors allocating more internal resources to develop prebuilt agents specialized in specific tasks. To complement internal development, codevelopment around GenAI agents will become a common initiative in SaaS leaders’ partnership strategies, as they look externally to fill domain expertise gaps.
Whether through internal development or ecosystem collaboration, TBR expects a proliferation of GenAI agents in the coming year. However, we remain skeptical about whether this will be enough to make GenAI a significant growth driver. Barriers to adoption, particularly the need for data modernization within enterprises, will likely persist as key challenges to broader GenAI adoption. Nevertheless, vendors will continue to push their development pipelines to stay ahead of competitors in the GenAI arms race.
https://tbri.com/wp-content/uploads/2025/03/cloud-network-solution_da-kuk_getty-images-signature_canva-pro.png6271200Alex Demeule, Research Analysthttps://tbri.com/wp-content/uploads/2021/09/TBR-Insight-Center-Logo.pngAlex Demeule, Research Analyst2025-03-04 11:22:262025-03-04 11:22:26SaaS Vendors Bet on AI Agents to Unlock New Revenue Streams
IT services leaders navigate choppy macroeconomic waters as discretionary spending tightens
Increased managed services activities around cost optimization and streamlined business processes and the recovering BFSI segment will help vendors alleviate revenue growth pressures in 2025
Due to tightened discretionary spending, the top 10 IT services revenue leaders continued to experience decelerating or declining trailing 12-month (TTM) revenue growth year-to-year in U.S. dollars during 3Q24. Accenture’s revenue landed above the midpoint of the company’s guided range, as Accenture leveraged its scale and broad-based functional and technology expertise across service lines to drive sales around helping clients build and manage secure foundations. Accenture’s FY24 total revenue growth of only 1.2% year-to-year — compared to 4.1% in FY23 and 21.9% in FY22 — reflects the choppy macroeconomic environment Accenture has been navigating, particularly in Accenture Strategy & Consulting, as buyers continue to limit discretionary spending.
At the same time, managed services enabled through Accenture Technology and Accenture Operations remains a strategic priority for clients seeking to drive cost optimization and streamline business processes, evidenced by Managed Services growth of 4.6% year-to-year in 3Q24 and 3.9% year-to-year in FY24.
Learn how the energy problem is likely to slow the pace of AI market development significantly.
Download TBR’s 2025 GenAI Predictions special report today!
Tata Consultancy Services (TCS), which currently ranks No. 2 in revenue in TBR’s IT Services Vendor Benchmark, has noted that clients remain cautious about spending, but the company’s solid internal execution has led to deal momentum across markets. Banking, financial services and insurance (BFSI), TCS’ largest revenue-contributing segment, is rebounding, which indicates a positive trajectory for the company heading into 2025.
IT services operating margins are stabilizing
Average TTM operating margin contracted for 4 of the top 10 category leaders
Operating margin performance is stabilizing in IT services, as just four of the top 10 margin leaders experienced year-to-year TTM operating margin contractions in 3Q24, compared to eight of the top 10 margin leaders experiencing margin contractions in 3Q23.
Infosys’ TTM operating margin declined 40 basis points year-to-year in 3Q24, landing within the guided range of between 20% and 22%. The use of generative AI (GenAI)-enabled sales automation tools, such as the Navi sales assistant, which accelerates time to insight, will help Infosys further improve utilization and decrease its reliance on sales support personnel. This will bolster the company’s margin, provided Infosys can withstand potential clients’ requests to lower pricing related to the use of automation.
TCS’ TTM operating margin improved 40 basis points year-to-year in 3Q24 as wage inflation appears to have leveled off and overall headcount remains stable. We expect TCS’ operating margin to remain in a similar range for the foreseeable future, as the company’s pricing flexibility, supported by its lower-cost resources, can help offset cost increases.
Wipro IT Services’ (ITS) TTM operating margin increased 10 basis points year-to-year in 3Q24 as the company benefits from operational improvements. While Wipro ITS faces pressures from furloughs and salary increases, it benefits from streamlined operations and a successful sales strategy to drive margin improvements. However, Wipro ITS’ margin performance might worsen as the company executes on training programs to build industry and technology capabilities in an effort to better work with clients, as well as expands its pool of AI experts, which currently consists of 44,000 employees.
IT services market outlook
Average revenue growth for benchmarked vendors will accelerate but also remain pressured due to macroeconomic challenges
TBR estimates IT services TTM revenue will increase slightly in 4Q24 compared to revenue growth of 0.1% in 3Q24 and a deceleration from revenue growth of 3.5% in 4Q23. Demand for greater productivity and lower costs continues to create digital transformation opportunities around finance and supply chain improvement, cloud modernization, and application development. Lingering pressures in discretionary spending negatively affected consulting activities and backlog realization in 3Q24, and this trend will continue in 4Q24. However, managed services activities are picking up speed as clients strive to optimize costs and streamline business processes.
TBR vendor spotlights
Accenture added $785 million in net-new revenue in FY24, the lowest amount since FY09 and FY10, following the financial crisis. We expect Accenture to improve performance and add over $3 billion in net-new sales in FY25. Maintaining a strong household name among IT buyers often comes at a price, with the company accelerating its acquisition activity to protect its turf. While Accenture has added new skills and IP that can help drive long-term organic revenue, the company’s acquisitions have also helped to buy short-term revenue growth as half of the projected expansion in FY25 will be due to inorganic contribution. Additionally, Accenture’s aggressive investment activity within the GenAI space has left partners and rivals wondering why Accenture is making so many acquisitions now when all vendors face similar challenges when it comes to securing the data quality needed to explore the full potential of the technology.
TCS’ core capabilities in integration, application and outsourcing services engagements sustain its healthy revenue growth levels. To reach the upper range of its revenue growth targets, TCS is strategically investing in GenAI capabilities. By initially focusing on lower-risk, high-volume applications like chatbots and virtual assistants, TCS is building a strong foundation of AI expertise. As GenAI matures in the market, the company aims to expand its offerings, positioning TCS to capitalize on the GenAI-related market opportunity and deliver enhanced value to clients. The company’s continued development of proprietary software and platforms aims to attract clients and support engagements as a foundational framework.
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https://tbri.com/wp-content/uploads/2025/03/business-leader_kentoh_getty-images.png10801080Elitsa Bakalova, Senior Analysthttps://tbri.com/wp-content/uploads/2021/09/TBR-Insight-Center-Logo.pngElitsa Bakalova, Senior Analyst2025-03-03 13:48:312025-03-04 14:10:11Who Is the Market Leader in IT Services?
Partnering for growth: How to ensure alliance and partnership success in 2025
In 2025 IT services companies and consultancies will refine their alliances, winnowing lists of 100-plus technology partners to the handful that drive more than 90% of their business, articulate a clear joint value proposition, and align at both the leadership and sales force levels.
A technology- and partner-agnostic approach was always a bit of a fiction and in the coming years will become a relic of the past. To make all that happen, ISV SaaS leaders to AI model providers, global systems integrators to hyperscalers, and semiconductor to platforms vendors will invest in ecosystem intelligence and elevate alliance management within their organizations.
Join Principal Analysts Angela Lambert, Allan Krans and Patrick Heffernan Thursday, March 13, 2025, at 1 p.m. EDT/10 a.m. PDT for an exclusive review of TBR’s 2025 Predictions special report Ecosystem Intelligence: Key Strategic Changes for 2025.
In this FREE session on ecosystem intelligence strategies you’ll learn:
How to place strategic ecosystem bets on alliance partners that are well-positioned for the next growth wave
How competitors are gaining ground with common alliance partners through sales programs, go-to-market motions and training
How to create unique value with alliance partners that resonates with end customers
TBR Insights Live sessions are held typically on Thursdays at 1 p.m. ET and include a 15-minute Q&A session following the main presentation. Previous sessions can be viewed anytime on TBR’s Webinar Portal.
https://tbri.com/wp-content/uploads/2025/02/Ecosystem-Intelligence-Webinar_1Q25_Register-Now.png10801080TBRhttps://tbri.com/wp-content/uploads/2021/09/TBR-Insight-Center-Logo.pngTBR2025-02-26 13:38:182025-03-07 09:49:40Ecosystem Intelligence for IT Services, Cloud and Consultancies: Strategic Insights for 2025 Success
Attendance at Mobile World Congress (MWC) 2025 is expected to near the annual event’s all-time high set in 2019, underscoring not only the importance of this event to the global mobile ecosystem but also the opportunities and potential inherent in the ecosystem.
Though TBR expects MWC25 to focus on the usual topics that have been popular in recent years, we anticipate there will be more substance at this year’s event, especially as it pertains to private networks, network evolution, business model transformation and the role of AI in the ecosystem, pointing to bright days ahead for companies that are aligned with market and technology trends. And with mobile network operators struggling more than ever to monetize their network investments, the stakes are high for finding the next big thing and understanding where new market disruptions may originate.
Join Principal Analyst Chris Antlitz and Senior Analyst Michael Soper Thursday, March 20, 2025, at 1 p.m. EDT/10 a.m. PDT for an exclusive deep dive into top takeaways from Mobile World Congress 2025. The pair will also discuss how emerging opportunities are likely to drive technology and business model disruption and impact markets.
In this FREE recap of Mobile World Congress 2025 you’ll learn:
How the telecom industry intends to derive business outcomes from AI
How enterprises are progressing in their digital transformations and incorporating private networks
Where in the mobile ecosystem new value is being created and what telcos need to do to generate ROI from new opportunities
TBR Insights Live sessions are held typically on Thursdays at 1 p.m. ET and include a 15-minute Q&A session following the main presentation. Previous sessions can be viewed anytime on TBR’s Webinar Portal.
https://tbri.com/wp-content/uploads/2025/02/MWC25-Webinar_1Q25_Register-Now.png10801080TBRhttps://tbri.com/wp-content/uploads/2021/09/TBR-Insight-Center-Logo.pngTBR2025-02-25 12:28:072025-02-25 12:28:07MWC25: Disruptive Technologies and Business Models Create New Opportunities for the Mobile Ecosystem
Recap: PwC Middle East’s ‘Transforming the Region’ presentation
PwC Middle East’s Feb. 18, 2025, webcast, “Transforming the Region: Future Insights – Economy and IPO Watch,” included a detailed presentation from Richard Boxshall, PwC Middle East’s chief economist, who highlighted the dichotomy between the region’s oil and non-oil economies, at least in Saudi Arabia and the United Arab Emirates (UAE). How does that all relate to TBR’s coverage of technology companies, including the IT services companies and consultancies I keep a close eye on?
In short, energy is stagnant, in terms of both oil price and overall sector growth. In contrast, the non-oil economy is booming, particularly in financial services and transportation. According to Boxshall, around 5,000 projects valued at over $5 trillion are in play in Saudi Arabia alone, reflecting a transformative investment in the country’s economy.
But before you set sail for Riyadh, remember that around half of the Saudi and UAE economies are, as Boxshall put it, “driven by oil,” and those governments depend on oil receipts to fund much of their spending. Uncertainty around oil price puts pressure on the countries’ fiscal positions and budgets, as Boxshall noted. If those prices went higher, for all the benefit that would bring to the government coffers, the economies would also face inflation, rising rents and potentially a drag on the non-oil economy. All that interdependency considered, Boxshall still described the split between the oil and non-oil economies as a “real decoupling.”
So, good news, right? The long-sought-after growth of strong non-oil economies, the eventual weaning of these pivotal Middle East countries from subservience to the price of oil is happening now and happening quickly. And should a trade war break out between the U.S. and the European Union (EU) or the U.S. and China, Saudi Arabia and the UAE — and the rest of the Middle East economies — will suffer. A production surge by the world’s largest oil producer — the U.S. — would further dampen oil prices, constraining Middle East governments’ budgets. Not everything is perfect, but certainly the big picture looks promising: Non-oil economies in oil-led countries have shown persistent, seemingly lasting growth.
Watch on Demand: $130+ Billion Emerging India Opportunity
Why TBR cares: A long history and a fast-changing present
Why does TBR care? Two reasons, one recent and one that goes back decades. First, the latest developments: Nearly every company we cover in the professional services, IT services, and digital transformation services spaces has increased its presence and investment in the Middle East in recent years. We’d like to take some credit for trumpeting the region’s IT possibilities back in 2020 (Egypt and IT and the center of the world), but no matter when or why the most recent surge into the Middle East started, it’s unquestionably become a hot spot (see Figure 1).
Sovereign wealth funds, newly arrived Western venture capital, and the payoffs from a couple decades of vastly improved schools and universities all converged in recent years with well-timed investments in technology and necessary changes to regulatory environments. The steady economic diversification efforts, coupled with new leadership in much of the region and all the factors above, have made the region exceptionally attractive to capital and talent. As one Big Four partner said to me recently, “If I was in my 20s right now, I’d move to Riyadh.”
Company
Coverage
Investment/Growth
Deloitte
Egypt
Innovation Hub and investment of $30 million over five years
KPMG
Saudi Arabia, Jordan, Iraq, UAE, Oman
Merged member firms into one entity to improve operations
Accenture
Kuwait
National Security Operations Center (cybersecurity services)
That leads to the decades-old reason why I’m interested in what’s happening in the Middle East and how those economies are changing. When I was in my 20s, I lived in the region, spending two years in Cairo followed by two in Dubai, UAE. Working for the U.S. government gave me access to regional economic conferences, multinational oil companies, local government ministries and even oil smugglers, all of which shaped my understandings of the energy industry and the region’s economies.
One would be foolish to doubt the Emiratis’ innovativeness, the Saudis’ limitless financial resources or the Egyptians’ belief in their centricity to the entire world. But 25 years ago, the obstacles to thriving non-oil economies, particularly in Saudi Arabia, seemed insurmountable. Looking at the region now through Boxshall’s eyes (and those of my friends still living and working there), it’s too easy to view the transformation as inevitable. Combine diligent reforms, steady investment, smart leadership and a growing population base, underpinned by all that relentless oil money, and, of course, these are thriving economies attracting top talent.
I can’t argue against that. Nor do I have a cautionary note to sound about previous financial crashes in Dubai or charming Saudi leaders or French emperors conquering Egypt. Very simply, when asked decades ago what success would look like, government and business leaders in the region described economic conditions very similar to what we’re seeing today.
https://tbri.com/wp-content/uploads/2025/02/economic-impact_vertigo3d_getty-images.png10801080Patrick Heffernan, Practice Manager and Principal Analysthttps://tbri.com/wp-content/uploads/2021/09/TBR-Insight-Center-Logo.pngPatrick Heffernan, Practice Manager and Principal Analyst2025-02-25 11:56:362025-02-25 11:56:36The Middle East’s Economic Transformation: A Real Decoupling or Persistent Uncertainty?
TBR has been tracking performance of IT services companies for decades. As go-to-market strategies increasingly focus on industry-centric solutions, TBR determined to build trailing 12-month revenue based on a standardized breakout of key industry verticals.
In 2018 we expanded our IT services coverage to include estimates for seven industry vertical splits (full list below), leading to the recent launch of the IT Services Industry Vertical Data Excel file. This extensive data file includes revenue estimates for 17 IT services companies, including Accenture, Capgemini, DXC Technology, IBM and Tech Mahindra (full list below). Quarterly estimates, year-to-year growth, and percentage of IT services totals date back to 1Q21.
This proprietary data stream, in conjunction with our qualitative analysis of these firms, including their partners and how they operate, offers unprecedented intelligence on which companies are growing or maintaining their revenue or experiencing declines within industry verticals and allows for partner adjustments and competitive maneuvering.
TBR’s vertical-specific IT services data reveals notable industry trends
In the most recently published data file, several key insights stand out, including highlights from TBR’s research on Tata Consultancy Services (TCS), Capgemini and Wipro.
Most notable: TCS’ public sector success in India
Tata Consultancy Services’ (TCS) public sector revenues jumped 52.2% year-to-year in 3Q24, extending — and accelerating — five straight quarters of double-digit growth. Curiously, however, TBR’s data shows a deviation from the norm in geo data. Reported India revenues by TCS (as a percentage of revenue) have been growing at a mid-double-digit range for over a year. In fact, reported revenue has grown so rapidly that India generated more revenue for TCS than the rest of the Asia Pacific region combined for the first time in 3Q24, and that gap expanded in 4Q24.
While it is unquestionably an impressive growth story, public sector revenue accounts for less than 5% of TCS’ overall IT services revenue, making it strong growth from a relatively small base. Still, 52.2% is impressive relative to the market, and analysis in TBR’s quarterly reports on TCS can help us understand this success. In short: It’s India.
“India was again a bright spot for TCS, nearly doubling its revenue composition from the previous year, now accounting for 8.9% of total TCS revenue. We attribute the growth in India to strong brand reputation and favorable government policies to incentivize companies to digitize their IT operations.” — TBR’s 3Q24 Tata Consultancy Services report
“Although India has historically only accounted for 5% to 6% of TCS’ total revenue, we anticipate this share will rise over the next few years, reaching double-digit figures before peaking and stabilizing. IT spending in India continues to increase, indicating there is plenty of opportunity, particularly for locally based IT services firms such as TCS. For example, during 2Q24 TCS and Indian state-owned telco Bharat Sanchar Nigam Limited announced plans to build four data centers across India to meet rising demand.” — TBR’s 2Q24 Tata Consultancy Services report
According to TBR’s lead analyst on TCS, Senior Analyst Kevin Collupy, “They are killing it with local Indian enterprises and government organizations. And last year we reported on an uptick in consultancies and IT services companies investing in their India-for-India capabilities, offerings and scale. So, 52.2% growth in public sector, even as TCS itself only grew 6.4%, tracks with the overall India growth story while illustrating just how well TCS has been doing.”
Additional insights from 3Q24 data
Capgemini’s revenue declined 1% year-to-year in U.S. dollars (USD) in 3Q24, but the company’s public sector revenue increased by more than 4% in the same period. At 15.1% of the company’s total IT services revenue, public sector revenue significantly buoyed what would have been an even rougher quarter. Retail, CPG, Travel & Transportation declined 4% year-to-year in USD in 3Q24 and accounted for 15.1% of Capgemini’s IT services.
Wipro’s 19.1% drop in public sector revenue in 3Q24 looks terrible, particularly in the context of an overall IT services decline of just over 2%. The vertical did not pull down Wipro as a whole though, as it represents just 0.5% of total revenue. The real culprits were Financial Services (down 1.3%, while accounting for 33.9% of revenue) and High Tech, Communications & Media (down 8.1%, at 15.4% of revenue).
Access all IT services vertical-specific data
While a single quarter is only a snapshot of the market narrative, the numbers in TBR’s vertical-specific IT services data starts to paint the picture while company reports fill out the story. An updated IT Services Industry Vertical Data Excel file will be released quarterly in TBR’s digital platform, Insight Center™.
If you are a current TBR user with access to the IT Services Vendor Benchmark, you can download the IT Services Industry Vertical Data Excel file today. If you’re interested in gaining access to the data, as well as TBR’s entire IT services research stream, start your free trial to Insight Center™.
Vendors covered in TBR’s IT Services Vendor Benchmark Data:
Accenture
Atos
Capgemini
CGI
Cisco Customer Experience
Cognizant
DXC Technology
Fujitsu
HCLTech
Hewlett Packard Enterprise Services
IBM
Infosys
Kyndryl
Tata Consultancy Services
Tech Mahindra
T-Systems
Wipro IT Services
Industry coverage in TBR’s IT Services Vendor Benchmark Data:
https://tbri.com/wp-content/uploads/2025/02/financial-data-analyzing_ispyfriend_getty-images-signature.png10801080Patrick Heffernan, Practice Manager and Principal Analysthttps://tbri.com/wp-content/uploads/2021/09/TBR-Insight-Center-Logo.pngPatrick Heffernan, Practice Manager and Principal Analyst2025-02-19 11:55:062025-02-19 11:55:06New IT Services Vertical Revenue Data Shows TCS’ Public Sector Surge and Market Shifts
NTT DATA turns to partners to unlock new revenue opportunities
According to TBR’s 4Q24 Cloud Ecosystem Report, “Despite the recent slowdown in overall IT services revenue growth, global SIs (GSIs) remain committed to building out their hyperscaler practices as they try to maintain ecosystem stickiness and ensure they are ready when demand rebounds. GenAI [generative AI] continues to influence both services vendors’ and their hyperscaler partners’ go-to-market strategies with new implications centered on security and data privacy.
This is a natural market evolution as, following the hype and opportunities to experiment with large language model (LLM)-based tools in the past 24 months, enterprises are turning to proprietary data to scale GenAI deployments. This is resulting in the advent of small language models (SLMs), which are the new battleground for partners to prove value. Absent accounting for implications around data and AI security, these relationships will likely face challenges, especially as slower macroeconomic conditions have placed greater emphasis on vendors to ensure service quality. And delivering quality services begins with access to enterprise data.”
A year after completing the integration of various parts of NTT operations and the formation of NTT DATA Group Corp., NTT DATA continues to calibrate its portfolio and skills to protect its No. 2 position in terms of global revenue size among peers within TBR’s IT Services Benchmark. As TBR discussed in the 2Q24 NTT DATA report, the company’s alliance relationships have played an increasing role in these efforts. “Customer demand for cloud migrations remains strong, which presents opportunities for trusted service providers. NTT DATA is building up its alliance network and its internal capabilities around cloud platforms such as Amazon Web Services (AWS), Microsoft Azure and Google Cloud to address demand. By offering complementary services that seamlessly support client transitions to these hyperscaler platforms, NTT DATA is positioning itself to become a critical partner in cloud adoption journeys.”
NTT DATA understands the value of ecosystems
In November 2024 NTT DATA made two strategic announcements highlighting its efforts to strengthen trust and expand addressable market opportunities through its relationship with Google Cloud. First, the two deepened their relationship, forming the NTT DATA Google Cloud Business Unit centered on coinnovation and development of data and AI-ready industry solutions. Second, NTT DATA announced the acquisition — which has since closed — of India-headquartered Niveus Solutions.
The purchase adds over 1,000 cloud engineers with skills in Google Cloud Platform (GCP) including GCP-native modernization, data engineering and AI. Following the purchase of Niveus Solutions, NTT DATA’s GCP-certified headcount now sits at approximately 3,600 professionals. According to TBR’s estimates in the 4Q24 Cloud Ecosystem Report, this is higher than the GCP-skilled headcount at Atos, Capgemini, DXC Technology, IBM, Infosys and Wipro. We estimate NTT DATA’s GCP-related revenue to be north of $400 million, or about 12% of its total cloud revenue, with the bulk of the remaining revenue share generated by the company’s relationships with Microsoft and SAP.
Why Google?
As TBR wrote in the 4Q24 TBR Cloud Ecosystem Report, “In many ways Google Cloud is staying the course with its partner strategy, focusing on scaling existing programs and incentives to help partners close larger deals more quickly. As part of its vision to foster the most ‘open AI ecosystem,’ Google Cloud has recently put a lot of focus on partner breadth and onboarding new partners that can help Google Cloud appeal to new audiences.
One example is with developers, and while there are over 1 million developers using GenAI tools, such as Vertex AI on GCP, Google Cloud aims to follow in AWS’ footsteps, boosting developer mindshare and delivering more seamless experiences. As such, Google Cloud has been delivering integrations with platforms like GitHub, which in 4Q24 announced support for Google’s latest Gemini models.
The other big priority for Google Cloud is around Marketplace. Though we often put AWS in a category of its own when it comes to marketplaces, with essentially all AWS’ top 1,000 customers having at least one active subscription, it is clear these platforms are where customers are buying their cloud software. As such, Google Cloud has been scaling the Marketplace with Private Offers, allowing resellers to deliver ISV solutions on GCP, and Google Cloud continues to cite momentum from partners co-selling Marketplace solutions alongside GCP. That said, it is clear Google Cloud wants its partners to continue to move away from traditional resell, toward value-added services, and Google Cloud maintains its commitment to driving 100% partner attach on all services deals.”
Pivoting from a two-dimensional foundation to a multiparty ecosystem play will test NTT DATA’s ability to manage trust
NTT DATA understands the need to pivot toward outcome-based services sales. Although it is easier said than done, the company has an opportunity to deliver value to clients provided it relies more on its alliance partners and continues to stick to its core expertise. Additionally, it will be essential for NTT DATA to invest in a partner framework that helps it address the following questions, which TBR outlined in the special report, Top Predictions for Ecosystems & Alliances:
Can your alliance partners tell your clients what makes you special?
Do your alliance partners’ sales teams know what value you bring to the ecosystem?
Are you sure you placed your strategic ecosystem bets on alliance partners that are well positioned for the next growth wave?
Are your competitors gaining ground with your common alliance partners through sales programs, go-to-market motions and training that you are not doing?
Learn how the strategic shift to ecosystem intelligence will impact your business in 2025.
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According to our Ecosystem Intelligence research, no single vendor has mastered the answers to all of these questions. NTT DATA is not new to managing alliance partnerships, as evidenced by its long-standing relationships with Microsoft and SAP. For example, the company touts $2.5-plus billion worth of SAP services business backed by more than 22,000 SAP-trained professionals. As outlined in TBR’s October 2024 SAP, Oracle and Workday Ecosystem Report, the size of its SAP practice places NTT DATA in a close race with EY and Tata Consultancy Services and above Capgemini, Cognizant, DXC Technology, Infosys and PwC.
Moving forward, NTT DATA’s success will also depend on the company’s ability to use a multiparty ecosystem lens and bring parties together. We believe an element of NTT DATA’s success with SAP is its ability to take a three-way approach with Microsoft and SAP to drive more targeted conversations. NTT DATA’s opportunity around Google Cloud will require a similar blueprint. Given Google Cloud’s push in data, AI and security, NTT DATA needs to think strategically about how to bring the likes of ISVs to the table that can help fill in that gap.
https://tbri.com/wp-content/uploads/2025/02/concept-of-teamwork-and-partnership_alphaspirit_getty-images-pro.png10801080Bozhidar Hristov, Principal Analysthttps://tbri.com/wp-content/uploads/2021/09/TBR-Insight-Center-Logo.pngBozhidar Hristov, Principal Analyst2025-02-08 12:04:212025-02-10 12:24:05GenAI-related Workload Opportunities Compel NTT DATA to Deepen Ecosystem Relationships
TBR attended two virtual Snowflake events in January, AI + Data Predictions 2025: How Operationalizing AI Will Drive Technical Advances and Leadership Challenges on Jan. 16, and Snowflake GenAI Day on Jan. 22. During the events we heard from Snowflake leaders, including Chase Ginther, principal architect AI/ML, and Caleb Baechtold, principal AI architect, Applied Field Engineering. These discussions, coupled with keynote speakers, breakout sessions, and TBR’s ongoing analysis of Snowflake’s strategy, underscore the company’s ongoing transformation from a data warehouse innovator to a leader in integrated data and AI platforms.
Snowflake in transition: Scaling AI through a data-first approach
Snowflake’s AI strategy is centered on a data-first approach that leverages the company’s data management strengths to drive development of advanced AI capabilities. Three key aspects of Snowflake’s strategy help it stand out in a highly competitive data and AI platform market.
First, the company is leveraging its origins as a data warehouse provider to offer a fully integrated data and AI platform. By prioritizing the management of structured and unstructured data, Snowflake enables AI-driven analytics, machine learning (ML) workflows and advanced processing within a unified ecosystem. Second, Snowflake is using advanced technologies to scale its AI capabilities, including GPUs to accelerate ML workloads; Snowflake Container Services (SCS) for efficient model deployment; and Snowpark, which enables seamless AI development using SQL, Python and Java. Third, Snowflake is enhancing its ecosystem through open-source AI collaborations via Cortex, integrating models from Meta, Hugging Face and Mistral to power natural language processing, predictive analytics and automation — all within a secure, data-centric framework. By prioritizing data as a foundation for AI, Snowflake enables efficient scaling while ensuring security, performance and governance within its ecosystem.
During the Snowflake events, TBR observed that customer demand for scalable, governed and actionable data remains a key driver of Snowflake’s evolution. The company’s ability to manage and harmonize disparate data types was repeatedly emphasized. For example, Ginther highlighted Nissan’s success in using Snowflake to analyze millions of customer profiles across multiple markets. This initiative showcased Snowflake’s ability to address complex, large-scale data challenges while delivering actionable insights for decision making.
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Snowflake’s scalability is not just about performance; it also plays a critical role in empowering AI adoption through a favorable cost-to-value alignment. The platform’s pay-as-you-go pricing model adjusts to the dynamic demands of AI applications, particularly for resource-heavy use cases such as generative AI (GenAI) and predictive modeling. This flexible model enables organizations to efficiently grow their AI workloads and lowers the barrier to implement advanced AI solutions.
During Snowflake GenAI Day, the company showcased GenAI’s vast potential beyond traditional applications like chatbots and content generation. For example, Snowflake partner Sigma Computing demonstrated how Snowflake transformed raw Salesforce data into actionable insights. The AI-driven analytics not only improved decision making for Sigma’s business leaders but also reduced the time spent on manual data preparation, unlocking faster, more informed outcomes.
However, as enterprises scale their GenAI applications, they face challenges related to data bias, IP risks and ethical AI. To build trust with customers, vendors must design their AI solutions with governance, fairness and transparency in mind to ensure responsible AI deployment. Customers need to implement strong data governance practices that carefully monitor data to avoid perpetuating inaccurate or discriminatory outcomes.
Golden datasets and the future of AI development
One emerging trend highlighted during Snowflake GenAI Day was golden datasets — curated collections of structured and unstructured data optimized for GenAI use cases. These datasets, when enriched by Snowflake’s platform, empower organizations to drive more accurate and impactful AI outcomes. Moreover, Snowflake’s focus on text-to-language prompts, which simplify data interactions by reducing reliance on complex SQL queries, demonstrate its commitment to improving user experiences. Using Snowflake’s Universal Search offering, customers can identify datasets in their accounts based on data quality and usage within their workflows to create optimized — or golden — datasets. Universal Search ensures that users — regardless of their level of technical expertise — can effectively leverage Snowflake’s capabilities for AI development, analytics and decision making. However, building and maintaining golden datasets pose significant challenges. For many organizations, curating and cleaning data at scale require advanced governance frameworks and skilled teams to ensure data quality, relevance and accuracy. Organizations that lack these capabilities may struggle to derive meaningful insights from their AI models. Additionally, errors or inconsistencies in golden datasets can lead to biased outcomes, undermining trust in AI-driven decision making.
Simplifying user interactions
Another topic highlighted during the GenAI Day event was Snowflake’s focus on improving user accessibility. By incorporating text-to-language prompts into its data and AI platform, Snowflake has reduced the technical barrier for users who may lack expertise in SQL or other programming languages. This feature ensures that nontechnical users can interact with the platform effectively, making data-driven insights accessible across diverse teams.
Predictions for 2025: From experimentation to enterprise-grade AI
During the AI + Data Predictions 2025 event, Snowflake forecast a significant shift in AI adoption as enterprises transition from experimental pilots to fully realized, enterprise-grade AI solutions throughout 2025. However, TBR’s 2H24 Cloud Infrastructure & Platforms Customer Research survey results suggest that the adoption of GenAI solutions may progress more slowly than expected in 2025, primarily due to cost constraints and a lack of technical expertise with the emerging technology. Despite these challenges, Snowflake anticipates AI adoption will be driven by AI observability, as businesses increasingly need to prioritize ROI measurement, deployment reliability and regulatory compliance.
During the presentation, speakers discussed how Snowflake’s key AI advancements such as embedding models to enhance the performance of large language models, including GPT models, are enabling task-specific customizations, improving multilingual capabilities and optimizing overall model performance. Snowflake’s platform supports these efforts with containerized runtimes like Snowflake Notebooks and Snowflake Container Services (SCS), which provide scalable and efficient tools for AI development. Baechtold emphasized the critical role of robust datasets in supporting both GenAI and traditional ML models. Snowflake’s platform addresses key challenges, such as data security, governance and accessibility, ensuring enterprises can confidently deploy AI solutions across industries ranging from healthcare to manufacturing.
Deep dive into generative AI’s impact on the cloud market in 2025 in the below TBR Insights Live session
Security, governance and containerization: Building trust in AI
Throughout both events, security and governance emerged as central themes in Snowflake’s AI strategy. As enterprises increasingly integrate multiple platforms and environments, the risk of data breaches and compliance violations grows. Snowflake’s approach to governance includes developing best practices around securing cloud configurations, authenticating model access, and monitoring runtime environments to ensure its AI solutions are scalable, secure and compliant with evolving regulations. For example, OM1’s use of Snowflake demonstrated how containerized systems streamline governance processes and enhance scalability and efficiency. By leveraging these systems, Snowflake ensures that clients can deploy AI solutions with confidence, knowing their data and models are protected.
Despite Snowflake’s efforts, managing security and governance at scale is an ongoing challenge. Customers operating in highly regulated sectors, such as finance or healthcare, may require additional customizations to ensure they comply with stringent regulatory requirements. Additionally, scaling governance frameworks to accommodate rapidly evolving AI use cases could stretch Snowflake’s platform and resources. Providing consistent, enterprise-grade support while maintaining innovation will be essential for Snowflake to navigate these challenges.
Snowflake’s road map: Scaling innovation while meeting enterprise needs
Looking ahead, Snowflake will continue to focus on expanding its integrated data and AI platform while maintaining its core pillars of scalability, flexibility and observability. The company’s ability to bridge the gap between structured and unstructured data — combined with its investments in user experience, embedding models and AI observability —will place it among the leaders in the next wave of AI innovation.
However, Snowflake’s success will depend on its ability to balance innovation with governance, ensuring enterprises can address their unique data challenges while meeting compliance requirements. By focusing on empowering users, streamlining AI deployments and scaling advanced technologies, Snowflake will be well positioned to meet the demands of a rapidly evolving market.
Conclusion
Snowflake’s evolution reflects its commitment to advancing AI through a data-first approach. By addressing the complexities of modern data ecosystems and aligning its platform with emerging AI trends, Snowflake has established itself as a key player in the AI landscape. This strategic focus not only drives digital transformation but also shapes the competitive dynamics of the market, impacting partners, competitors and technology providers. The company has expanded its GenAI capabilities by integrating open-source models such as those from Hugging Face and Meta, enabling customers to deploy and customize AI models more easily.
Snowflake also emphasizes AI observability, providing businesses with tools to track performance, optimize outcomes and ensure ROI, while mitigating model drift. Its governance framework ensures regulatory compliance, safeguarding AI data and models across industries. Snowflake’s efforts to simplify the user experience and make AI more accessible to nontechnical users align with new industry standards. By lowering technical barriers, Snowflake is enabling a broader range of businesses to leverage AI and encouraging the market to innovate toward more user-friendly solutions. However, Snowflake faces challenges in integrating diverse data environments and maintaining data quality at scale. The need for significant infrastructure investments, such as GPUs, may also become a hurdle as AI adoption expands.
As GenAI and AI observability evolve, Snowflake’s integrated platform is positioned to support partners and stakeholders in navigating the next phase of industry transformation. By offering scalable and secure AI workflows, Snowflake is helping them tackle the challenges of adopting AI at scale across industries. TBR will continue monitoring Snowflake’s progress and its influence on AI-driven business strategies across sectors.
https://tbri.com/wp-content/uploads/2025/02/data-analysis_tadamichi_getty-images-signature.png10801080Gunnar Tache, Research Analysthttps://tbri.com/wp-content/uploads/2021/09/TBR-Insight-Center-Logo.pngGunnar Tache, Research Analyst2025-02-07 10:48:002025-02-10 12:23:16Snowflake’s AI Evolution: Scaling Innovation with a Data-first Strategy
Fujitsu Kozuchi’s wider understanding of business operations provides Fujitsu with an advantage around AI
Fujitsu launched Fujitsu Kozuchi, its AI platform that provides cloud-based AI services including generative AI (GenAI), predictive analytics, text, AI trust, experience AI, vision and automated machine learning (ML). These seven areas enable Fujitsu to address a wide range of business process needs. Since the launch of Fujitsu Kozuchi in August 2023, Fujitsu has continued to invest in the platform to add new services. For example, during 3Q24 Fujitsu expanded Fujitsu Kozuchi AI to include an AI agent that supports high-level tasks. As a result, Fujitsu is better equipped to provide advice and support related to users’ profitability challenges. In December Fujitsu added multi-AI agent security technology to protect digital and AI environments.
According to TBR’s November 2024 Digital Transformation: Voice of the Customer Research, “Buyers have become more tech savvy in recent years due in part to cloud adoption, and there is widespread understanding that they need GenAI. It is up to the vendors to make sure the technology lives up to the hype. Vendors have some time to iron out how to best demonstrate ROI, as only one-quarter of respondents quantitatively measure the effectiveness of the technology and 60% still apply only soft KPIs.”
Fujitsu’s investments in Fujitsu Kozuchi have equipped the company well to appeal to clients’ needs around the technology, providing opportunities to supply analytics with associated text, vision and trust in support of business operations. While AI technology evolves rapidly to include new capabilities, Fujitsu’s approach to developing the platform and leveraging partners and internal capabilities gives it an advantage in offering a wider set of services. Fujitsu’s industry expertise drives additional value for clients, helping them address key pain points and extract insights from their business operations. Despite the company’s geographical challenges, the development of Fujitsu Kozuchi and use of partners for portfolio development will enable Fujitsu to compete with peers and capture new clients in Europe and APAC.
Find out what’s in store for IT services vendors and consultancies in 2025 in terms of strategy consulting, generative AI (GenAI) and ecosystem intelligence.
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Partnerships enhance Fujitsu’s positioning around operational transformation projects
Revenue in Fujitsu’s services business fell an estimated 0.2% in local currency (down 3.2% in USD) to ¥713 billion ($4.7 billion). Continued demand for digital transformation projects and IT modernization services, particularly in Japan, was offset by offloading underperforming businesses. Fujitsu’s investments around Fujitsu Uvance, which is underpinning transformation projects, will help improve the company’s trajectory. Grounding its transformation projects in sustainable solutions that aim to address societal challenges aligns with clients’ needs and advanced technologies. The company’s enhanced delivery network improves operations outside of Japan, enabling Fujitsu to engage with new regional clients. Moving through 2025, Fujitsu will continue to accelerate Fujitsu Uvance, bringing in new capabilities to strengthen its value for clients and regional connections.
According to TBR’s 3Q24 IT Services Vendor Benchmark, “IT services vendors are working with partners to provide smoother, less disruptive adoption of new technology, enabling clients to improve their cost structures and benefit from operational efficiencies during ongoing macroeconomic uncertainty. Vendors and their partners are combining professional services, technology and industry expertise with new capabilities to meet client needs and create new revenue streams.”
Fujitsu continued to leverage its partner ecosystem, extending its existing relationships with key partners such as Microsoft, SAP and Amazon Web Services (AWS). Through the partnerships, Fujitsu enhances its position to deliver on vendor needs around cost structure and operational efficiencies. For example, with AWS, Fujitsu incorporated Fujitsu Uvance offerings with AWS’ cloud services and architecture to help integrate sustainability and address societal issues within digital transformation projects.
Under the partnership expansion, Fujitsu will train an additional 5,000 engineers to further accelerate digital transformation with new offerings and provide tailored services within cloud migrations. Fujitsu also renewed its partnership with SAP Fioneer following similar initiatives with an insurance industry focus. For instance, the two will collaborate on a cloud platform that supports core insurance services and business practices.
TBR will continue to report on Fujitsu’s increasing roles in the AI and consulting space. For access to upcoming data and analysis on Fujitsu’s strategy and performance, start your Insight Center™ free trial today.
https://tbri.com/wp-content/uploads/2025/02/5g-and-ai-technology_tony-studio_getty-images-signature.png10801080Kelly Lesiczka, Senior Analysthttps://tbri.com/wp-content/uploads/2021/09/TBR-Insight-Center-Logo.pngKelly Lesiczka, Senior Analyst2025-02-06 12:07:202025-02-10 12:12:03Fujitsu Expands Kozuchi AI Platform and Strengthens Partnerships to Drive Digital Transformation
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