New IT Services Vertical Revenue Data Shows TCS’ Public Sector Surge and Market Shifts

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

Tata Consultancy Services IT Services Vertical Revenue Data
 
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:

  • Financial Services
  • Healthcare & Life Sciences
  • High Tech, Communications & Media
  • Industrial Solutions, Manufacturing, Automotive, Energy, Utilities & Chemicals
  • Other Industry
  • Public Sector
  • Retail, Consumer Packaged Goods (CPG), Travel & Transportation

Fujitsu Expands Kozuchi AI Platform and Strengthens Partnerships to Drive Digital Transformation

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.
 
Download TBR’s 2025 Digital Transformation Predictions special report today!


 

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.

New Solutions Drive New Revenue Streams for Atos’ Manufacturing Clients

Atos showcases strength in manufacturing industry specialization

Although it is an understatement to say Atos has struggled with its financial performance in recent years, the new year gives TBR analysts a chance to look for signs of change or markers indicating that Atos’ strategic decisions, investments and leadership adjustments have put the company on the path to sustained and profitable revenue growth in the coming years. We are paying close attention to Atos’ enhanced and deepened partnerships with technology companies, its major multiyear deal signings, and the use cases Atos’ two business lines — Eviden and Tech Foundations — tout as indications of what is working well and where they are gaining additional traction (and traction equals growth).
 
Along with the usual digital security solutions, cloud migrations, platforms and advanced computing implementations, one recent use case stood out, surprisingly not only for what Eviden did but also for what the organization positioned its client to do in the future. As part of a five-year engagement, Eviden helped Spanish train manufacturer Talgo develop what Eviden called a “state-of-the-art fleet monitoring system” that can ingest and process massive volumes of data, bring information and insights to train maintenance engineers, and “achieve architectural flexibility and scalability to incorporate modern train series without additional development efforts.” While the first few elements should be considered core capabilities of any modern, AI-enabled, and purpose-built system, the last one addresses a customer sentiment we have been hearing relentlessly for the last 18 months: Make my current technology work better without additional investment in even more new technology.
 
But that is not what jumped out at TBR as something special and a marker of potentially good things to come.

Reselling the TSMART solution creates new revenue streams for Talgo

Eviden’s work with Talgo produced the fleet monitoring system Talgo SMART Maintenance (TSMART). In recent years TSMART has been improved with capabilities such as predictive maintenance and visualizations. So far, so good, and so much like most others.
 
There is a significant difference, though, as Eviden noted in the press release: “Long an aspiration of smart manufacturing, the ability to create value-adding services from products is now Talgo’s reality. TSMART can be enhanced with product packaging/branding to be offered as a service to third parties. Talgo can easily extend the TSMART system to new train series or offer it to customers as a service. Its customizable interfaces include options for company branding and user personalization as well as new train configurations.”
 
Eviden helped create more than just an asset for Talgo to use internally and benefit from increased productivity, operational safety and fleet reliability. Now Talgo can expand its offerings with its own clients, develop a new business model, create new revenue streams, and, likely, greatly enhance its stickiness and position across its ecosystem. Not every IT services engagement leads to a client creating a new business opportunity, but this one did.

Now, can Eviden recreate the success of TSMART with other clients? Can this become a calling card for Eviden, an example of what can separate the organization from peers?

Certainly not with every client and every engagement — routine designing and building of systems are just that, routine — but if Eviden brings the mindset behind TSMART into opportunities, particularly with long-standing clients in the manufacturing and energy industries, TBR anticipates a quicker return to revenue growth for Eviden, which will support Atos’ overall financial performance.
 
Atos has established expertise around delivering predictive maintenance solutions and is applying its skills across industries. The company is working with multiple clients in the theme park and attractions industry, utilizing data and AI as well as edge server technologies to reduce the downtime of rides and improve customer satisfaction. For example, in 2020 Atos won a deal with the Triple Five Group’s American Dream entertainment complex to provide predictive maintenance utilizing data analytics and AI solutions as well as BullSequana Edge servers to collect and store data from ride sensors and detect issues through real-time analytics at the edge.
 
In covering Atos and its two business lines, Eviden and Tech Foundations, TBR publishes a quarterly Atos report and a semiannual Atos Cloud report. TBR also includes the company in our quarterly IT Services Vendor Benchmark, AI and GenAI Market Landscape, and various ecosystem intelligence and digital transformation reports, as warranted by Atos’ investments and activities in those areas. Access all of this research and more with your Insight Center™ free trial. Sign up today!

Federal IT Spending Poised for Another Strong Year in Fiscal 2025

Federal IT spending remained robust throughout FFY24, and the market appears poised for another strong year in FFY25, even as CY25 begins with yet another continuing resolution

TBR projects weighted average year-to-year federal IT services revenue growth for the 11 companies featured in our Federal IT Services Benchmark will decelerate to between 8% and 8.5% in 4Q24, down from 9.3% in 3Q24. Additionally, we anticipate weighted average year-to-year revenue growth in the defense sector will fall to between 6.8% and 7.3% in 4Q24, while civilian revenue growth will remain between 10% and 10.5% in 4Q24.
 
Four leading federal systems integrators — Booz Allen Hamilton (BAH), CACI, Leidos and SAIC — as well as smaller federal IT peer KBRWyle elevated their respective revenue growth forecasts for their current fiscal year when tendering 3Q24 fiscal results; these results indicate the federal IT macro environment will remain mostly growth-friendly through FFY25.
 
The new federal fiscal year began with a continuing resolution (CR) that extended government funding until Dec. 20, when a subsequent CR was enacted to fund federal operations until March 14, 2025. Further CR extensions in federal fiscal year 2025 (FFY2025) would cause budget delays that could impede the ability of federal IT contractors to convert backlog into revenue, but most vendors expect revenue growth to remain on a solidly upward growth trajectory in FFY25.
 
The Fiscal Responsibility Act of 2023 (FRA) remains in effect, and the Biden administration’s FFY25 budget request aligns with the FRA’s spending caps. Federal IT spending priorities will remain largely unchanged in FFY25, with IT investment focused on enhancing national security (especially in the APAC region and to deter future Russian aggression in Ukraine), promoting the adoption of AI and generative AI (GenAI) technologies, modernizing and enhancing the security of federal technology infrastructures, and IT-enabling public health systems.
 
The Department of Defense (DOD) will be integrating six new naval vessels into its global IT networks while spending nearly $34 billion to enhance space-based capabilities and another $10 billion to enhance the security and interoperability of IT and weapons systems operating in the Indo-Pacific theater. The Pentagon will spend another $14.5 billion for overall cybersecurity activities in FFY25 while expanding outlays on analytics and AI and increasing investment in the ongoing Replicator initiative to deploy thousands of autonomous systems across multiple domains by FFY26 to counter the ever-growing threat from China.
 
Civilian agencies will continue increasing their cybersecurity spending in FFY25, with an additional $13 billion requested in FFY25 to fund new zero-trust and access management programs as well as initiatives to secure critical infrastructure and federal civilian supply chains. The budget of the Cybersecurity and Infrastructure Security Agency (CISA), the division of the Department of Homeland Security (DHS) charged with leading cybersecurity efforts across the federal market, will expand by over $100 million from FFY24 to FFY25 to reach $3 billion. Civilian agencies are also increasing AI-related investments to fund the development, testing, purchase and deployment of new AI and GenAI technologies, as well as to expand their AI workforces.
 

Federal agencies must master AI from both a technological and a responsible use standpoint, prior to the inevitable adoption of GenAI. The most basic, fundamental distinction between AI and GenAI is that AI is good at analyzing existing content while GenAI generates new content. Much foundational modernization work is still needed across the federal IT environment to accommodate digital technologies like cloud, AI and GenAI, ensuring continued (albeit slower) federal IT growth in FFY25 and beyond.


 

Expansion accelerated in the federal IT market in 3Q24 as renewed M&A activity by several federal IT vendors augmented strong, stable demand for digitally based IT modernization

Statutory year-to-year revenue growth for the 11 TBR-benchmarked vendors in the U.S. federal market on a weighted average basis rose 100 basis points sequentially, increasing from 8.3% in 2Q24 to 9.3% in 3Q24. Acquisitions by Accenture Federal Services (Cognosante), BAH (PAR Government Systems Corporation [PGSC]), CACI (Quadrint in 1Q24 and Azure Summit Technologies [AST] in 3Q24), CGI Federal (Aeyon), General Dynamics Technologies (Iron EagleX) and KBRWyle (LinQuest) generated an inorganic tailwind to overall market growth of roughly 180 basis points in 3Q24.
 
Federal IT executives (e.g., CACI CEO John Mengucci) have indicated that the M&A market became more buyer-friendly during 2024, prompting several benchmarked vendors to leverage acquisitions to address portfolio gaps in multiple areas, including digital transformation (DT) and emerging technologies for classified defense and intelligence operations.
 
Vendors have been acquiring, and will continue to hunt for, smaller peers with scalable cloud and digital modernization capabilities as well as deep existing (and likely cloud-related) relationships with federal agencies. Underpinning inorganic market growth is enduring robust demand for digitally transformative technologies in AI, cloud, analytics and data science, as well as the continued need to upgrade baseline IT infrastructures across the federal sector to accommodate digital modernization.

Graph: 3Q24 Federal Revenue, Profitability and Year-to-year Revenue Growth

KBRWyle’s federal revenue rose 10.2% year-to-year in 3Q24 as LinQuest was acquired and demand mounted for all the offerings within Government Solutions business units. KBR’s leadership team increased its guidance for the company’s revenue, adjusted EBITDA and adjusted earnings per share (EPS) during the 3Q24 earnings call due in part to Government Solutions’ strong performance and the purchase of LinQuest creating more opportunities with DOD agencies.
 
Inorganic growth is again boosting CACI’s top-line growth after the company made three acquisitions between 2Q24 and early 4Q24. CACI’s acquisition of AST in 3Q24 contributed between 70 and 80 basis points of inorganic growth during the quarter and is expected to add between $440 million and $450 million to the company’s sales in its FY25.
 
BAH’s revenue rose 18% year-to-year in 3Q24, driving the firm’s total sales past $3 billion for the first time. BAH’s June acquisition of PGSC began to contribute inorganic revenue in 3Q24, and we estimate BAH’s organic year-to-year growth was 17.7% in 3Q24, with PGSC contributing between 20 and 30 basis points of inorganic growth.

Civil and defense agencies drive double-digit IT growth through cybersecurity, health IT and AI investments

Civil agencies continue to aggressively invest in cybersecurity, health IT and Agile-based software systems, leading to sustained double-digit civil sector IT spending growth

Weighted average growth in the civilian sector accelerated 80 basis points sequentially, rising from 9.6% in 2Q24 to 10.4% in 3Q24. Vendors including BAH and Leidos have posted multiple quarters of double-digit growth in their respective civil units as of 3Q24, with robust rates of growth expected to persist well into 2025. Sector growth was sustained at or near 10% throughout FFY24 as demand among civil agencies remains robust for comprehensive zero-trust and cyber incident support solutions, particularly by DHS, the Department of Health and Human Services (HHS), the IRS and NASA.
 
Attracting and retaining cybersecurity talent also remain top priorities for nearly all civilian agencies, which are tapping vendors like Accenture Federal Services (AFS), BAH and Deloitte Federal for human resource advisory services. NASA launched an eight-year, $2 billion program, NASA Consolidated Applications and Platform Services (NCAPS), during 3Q24 to develop and deploy Agile-based software for over 200 IT systems, with vendors including CACI among the primary awardees. Health IT is generating new revenue and profit streams for the benchmarked vendors, and agencies including the HHS (and its subagencies, the Centers for Medicare & Medicaid Services, the Center for Disease Control and Prevention, and the National Institutes of Health) are seeking agencywide AI and analytics adoption services. The top five benchmarked vendors in year-to-year civilian sector revenue growth in 3Q24 were AFS (25%), BAH (16.1%), SAIC (10.8%), Maximus (9.3%) and CACI (7.9%).

Defense and intelligence agencies expanded spending on IT modernization, global integration of defense networks, and AI-enabling intelligence collection and analysis solutions in 3Q24

Weighted average expansion in the defense sector rose 110 basis points sequentially, from 7.5% in 2Q24 to 8.6% in 3Q24. BAH and CACI maintained double-digit expansion in their respective defense sales in 3Q24, while Leidos and GDT posted midsingle-digit top-line defense growth in the quarter. The DOD awarded billions of dollars in net-new programs while several benchmarked competitors also secured key recompetes with defense agencies. The DOD’s European Command has aggressively expanded its activities (particularly with BAH) as the war in Ukraine grinds on, while globally, the Pentagon continues prioritizing the adoption of AI, analytics, big data and cloud technologies to facilitate and accelerate real-time decision making for military commands.
 
The DOD is also expanding activities in APAC, investing in advanced intelligence and combat-related technologies to deter Chinese aggression. The U.S. Air Force is accelerating spend on the Collaborative Combat Aircraft program while the DOD’s Combined Joint All Domain Command and Control (CJADC2) initiative to achieve IT infrastructure interoperability across all military branches and with defense agencies of U.S. allies continues to spool up. Project volumes also expanded on several marquee defense IT programs, including Sentinel (modernizing C5ISR [Command, Control, Communications, Computers, Cyber, Intelligence, Surveillance and Reconnaissance] systems across the DOD) and the $11 billion Defense Enclave Services program.
 
IT investment patterns in the intelligence community continue slowly stabilizing as intelligence agencies invest in intelligence analysis services and solutions and AI-based technologies to collate and ingest intelligence data. The top five benchmarked vendors in year-to-year defense sector revenue growth in 3Q24 were BAH (19.1%), CACI (13.5%), KBRWyle (12.4%), Leidos (4.4%) and AFS (3.9%).

 

Follow federal IT services performance throughout 2025 with data and analysis in TBR Insight Center. Start your free trial today.

Robots Protecting Themselves From Robots: The Future of AI Security and Vendor Differentiation

Demand for analytics services has reached an inflection point, with new opportunities around the development and implementation of secure, industry-aligned agentic AI solutions refueling growth

From shadow AI to the advent of AI agents, generative AI (GenAI) has increased IT complexities and the need for greater enterprise resiliency, compelling vendors to enhance their cybersecurity portfolios. This is not surprising, given that according to TBR’s November 2024 Digital Transformation: Voice of the Customer Research, buyers ranked cybersecurity as the No. 1 technology supporting their digital transformation (DT) programs. Using AI to automate cyber threat detection will create opportunities to establish guardrails around AI identity in the world of multiagent ecosystems. Vendors’ ability to manage liability and accountability around AI cybersecurity will remain a key question as reports of bad AI continue to surface.

Analytics and insights services revenue expanded 5.9% year-to-year, on average, in 4Q24 for the 20 vendors included in TBR’s 1Q25 Digital Transformation: Analytics Professional Services Benchmark

While revenue growth remains lower than two years ago, when analytics and insights (A&I) services revenue expanded 14.3% year-to-year in 4Q22, there was a slight improvement in 4Q24 compared to six months ago when sales grew 5.6% on an annual basis. We believe the A&I services market has bottomed out and will start to improve as vendors capitalize on the dual opportunity to embed analytics tools within their IT modernization frameworks and develop and implement agentic AI solutions that address specific industry and functional pain points. We believe these two trends will also expand the addressable market opportunities for vendors as the need for greater AI security and a right-skilled bench will allow them to demonstrate value while they pivot their commercial models toward outcomes.

Security-related risks is among the top GenAI adoption barriers, presenting vendors with an opportunity to position cyber and AI as complementary solutions to help scale adoption

As TBR wrote in our 1H24 Cloud Infrastructure & Platforms Customer Research: “Most respondents cited security as the biggest GenAI adoption barrier, which makes sense as customers also referenced security as the biggest pain point associated with cloud technology.
 
That said, data-related challenges, such as governance and control of the data, are moving up the ranks and only reinforce the role that data architecture and data strategy play in GenAI adoption. It is a strong indication of where the hyperscalers and their partners, including the data ISV platforms they integrate with as well as the GSIs [global systems integrators], should be focused to help customers overcome these barriers. When asked about the role GSI partners play in data strategy, one-third of respondents said that the GSIs were instrumental in putting the right policies, tools and best practices in place around areas like data governance, quality and access.”
 
These findings are closely aligned with data from TBR’s November 2024 Digital Transformation: Voice of the Customer Research report where enterprise buyers ranked cybersecurity as the No. 1 technology supporting their DT programs. While investing in cyber-related capabilities is not a new trend, we believe the technology is experiencing a boom in terms of investment especially as chief information security officers try to balance the management of shadow AI with the increased use of GenAI tools for software development, content production and sales automation, among other functions.
 
While in the past cyber and cloud have gone hand in hand in terms of the buyer purchasing cycle, we see an opportunity for vendors to position AI and analytics and the attached cyber services as a more appealing value proposition especially as all parties face a new reality where robots (GenAI) are protecting themselves from other robots (cyberattacks).
 
Graph: GenAI Adoption Barriers, TBR 1H24

The rise of robots guarding robots presents an opportunity for vendors to demonstrate value through accountability and cyber liability management, backed by domain and partner knowledge

Balancing the development of AI security models with enabling workforce productivity through the use of AI will help vendors create strong use cases for how to navigate the complexities that have arisen from the advent of the greater need for AI security. Vendors can then bring these experiences into client discussions as they often face similar struggles as shadow AI becomes mainstream.

Examples of vendors’ recent activities

  • Accenture launched a suite of GenAI-enabled cyber resilience services and capabilities addressing issues such as deepfakes and helping prevent customer disruptions from across IT operations through supply chain management. Some of the services include Secure AI Solutions, which address enterprises’ AI program life cycle; Deepfake Protection; and Business Cyber Crisis Recovery.
  • In October Eviden inaugurated an AI supercomputer in Denmark called Gefion as part of a deal from March with the Danish Centre for AI Innovation, which is owned by the Novo Nordisk Foundation and the Export and Investment Fund of Denmark. The supercomputer will enable large-scale AI projects and high levels of security for Danish data sovereignty, and support research and innovation in healthcare, life sciences and green transition.
  • Cognizant expanded its Neuro suite to include cybersecurity offerings. The additional capabilities support a variety of devices across IoT networks and provide an AI-derived interface that showcases internal insights.
  • The alliance with Clearspeed will leverage Deloitte’s IndustryAdvantage framework and Clearspeed’s AI-enabled risk identification platform to provide risk data and management capabilities supporting U.S. federal clients.
  • DXC Technology has partnered with Checkmarx, a cloud-native application security specialist, to deliver comprehensive application security solutions globally. By offering Checkmarx One to its customers, DXC Technology aims to accelerate vulnerability detection and remediation throughout the software development life cycle.
  • In August IBM announced it is adding GenAI capabilities to its managed Threat Detection and Response Services. The company launched IBM Consulting Cybersecurity Assistant to help clients better identify, investigate and respond to security threats. The Cybersecurity Assistant will be part of IBM Consulting’s threat detection and response practice and IBM Consulting Advantage.
  • In September Tata Consultancy Services (TCS) announced an expansion of its partnership with Google Cloud with the release of two solutions: TCS Managed Detection and Response and TCS Secure Cloud Foundation.

 

B2B Strategic Advantage: Ecosystem Intelligence

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?
 
Vendor consolidation and enterprise optimization of existing digital stacks have compelled IT services companies and consultancies as well as their ecosystem partners to think strategically about who to partner with and how to secure and expand their position within the ecosystem. As a result, aligning business priorities with alliance partners will allow IT services companies and consultancies to develop a more empathetic approach to technology-fatigued buyers. Additionally, understanding pricing and commercial structures backed by common knowledge management programs will elevate the value of joint services and appeal to enterprise buyers’ appreciation of a separation of labor, supported by greater transparency and accountability.

What is ecosystem intelligence for the B2B industry?

Ecosystem intelligence provides the framework and insights necessary for all parties involved to deliver value to the end customer. Establishing common governance models backed by self-accountability metrics helps guide vendors in executing against universally agreed-upon business objectives, thus maintaining ecosystem trust.
 
Ecosystem go-to-market strategies, which involve multiple vendors collaborating to deliver complex and comprehensive solutions, now drive more than half of total IT investment, and, critically, this revenue generated through ecosystem partnerships has been growing faster than the overall market, turning ecosystem intelligence-enabled insights into invaluable pillars supporting the next wave of vendors’ business model evolutions.
 
As IT budgets grow, a greater percentage of new funding will flow to companies collaborating to deliver value, in part because the complexity of solutions required by end customers necessitates a multifaceted approach involving various layers of infrastructure, software, services and networking.

Ecosystem intelligence will become a strategic advantage for B2B

In the last few years, ecosystem intelligence has eclipsed competitive intelligence as the use case most frequently leveraging TBR’s IT services, professional services, and digital transformation data and analysis, often in an effort to answer the questions above. That shift reflects three broader trends.

  • First, enterprise buyers want to deal with fewer technology vendors, increase transparency around their IT spend and realize faster returns on technology investments.
  • Second, portfolio and capability expansion — PwC has expanded into managed services, HCLTech into software, Amazon Web Services into professional services and Lenovo into consulting — has created a more fluid ecosystem, where partnering with competitors and competing against alliance partners has become the norm.
  • Third, and perhaps seeming to run as a crosscurrent to the other two trends, the best performing companies have chosen to play primarily to their strengths, staying in their lane and partnering better, rather than building out capabilities and scale.

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. Technology-agnostic was always a bit of a fiction and in the coming years will become a description of the past and not a strategy going forward. To make all that happen, IT services companies and consultancies will invest in ecosystem intelligence and elevate alliance management within their organizations.

Learn more

Download 2025 Predictions special report: Ecosystem Intelligence: Key Strategic Changes for 2025
 
Watch TBR Insights Live session: Digital Transformation Outlook: Strategy Rebound, GenAI Impact and Ecosystems Importance in 2025

KPMG Shifts Focus to Legal Services and AI-driven Strategy Consulting 

KPMG is leaning toward legal services and AI-infused strategy consulting offerings to bolster sales as the firm navigates choppy market conditions within core deal advisory

Earlier in January news reports surfaced that a subsidiary of KPMG, KPMG Law US, had applied to operate in Arizona under a state program allowing nonlawyers to operate law firms and provide legal services in the state. This aligns with our Fall 2024 Management Consulting Benchmark Vendor Profile: KPMG, in which we discussed this topic.
 
KPMG’s revenue growth decelerated from 0.7% year-to-year in 1H23 to -0.6% year-to-year in 1H24 as the firm continued to face pressure in core markets such as deal advisory despite the uptick in signings — a trend we expect to continue into 2025 as we estimate management consulting sales to stay flat on an annual basis. Over the last six months, KPMG signed M&A advisory and restructuring deals, including those with Germany-based air-taxi manufacturer Lilium; Spain-based Santander Consumer Finance; and Romania-based retailer La Cocos. As KPMG seeks to diversify its portfolio and revenue opportunities, recent investments across its portfolio related to legal services suggest that demand across regions is choppy and that KPMG will be reviewing its positioning, one member firm at a time.
 
For example, in Australia, KPMG restructured its stand-alone legal services practice, folding KPMG Law’s Tax Controversy & Disputes practice under KPMG’s tax business. At the same time, in the U.S. KPMG is looking to invest heavily in AI to bolster its legal services offerings, creating a conduit for consulting business. Meanwhile, KPMG partnered with ContractPodAI to bolster its legal AI and contract lifecycle management capabilities as the firm seeks to expand its legal managed services opportunities targeting clients in the U.S., U.K. and Germany. We believe KPMG’s push in the legal services space can also help the firm gain access to the talent needed to enhance its governance, risk and compliance (GRC) value proposition, especially as more general counsels are getting involved in GenAI solution development.
 
Outside legal services and M&A advisory, we expect KPMG’s efforts to bolster its management consulting revenues will come from its investments in technology-centric capabilities, with AI and GenAI among the predominant topics impacting the firm’s strategy consulting sales. We believe the KPMG Lighthouse team will continue to provide a critical link enabling the firm to elevate conversations beyond the typical art-of-the-possible discussions and tying them to business outcomes with tangible solutions. While embedding AI and data science is not unique to KPMG, the firm has an opportunity to elevate the value of such offerings as the single most important technology the firm stands behind, especially as many of its competitors stretch their portfolios and messaging across multiple domains. While we understand this can be a tricky message to execute against, demonstrating depth and specialization will likely trump generalization moving forward as GenAI levels the knowledge field, helping KPMG stand out.
 
Legal services would only be part of KPMG’s story going forward, as we also discussed in the Fall 2024 Management Consulting Benchmark Vendor Profile: KPMG.
 

GenAI can help KPMG enhance its industry consulting expertise, provided the firm leans on partners to do the tech part and focuses on its business pain points

Healthcare was KPMG’s fastest-growing industry vertical at 6.4% year-to-year in 1H24, according to TBR estimates. As an outlier for KPMG’s growth, the vertical benefited from industry clients seeking to digitize health systems and improve the patient experience. KPMG is not alone in capturing high-growth opportunities in the healthcare sector as rivals Deloitte and Accenture have also captured robust sales expansions in the industry with both competitors enhancing value propositions through acquisitions including Gryphonic Scientific (biosafety and biosecurity) and Cognosante (federal health).
 
To counter competitive threats, KPMG leaned on organic means, announcing the opening of a Global Center of Excellence for healthcare based in Bermuda. While the center will bring in professionals from the Caribbean, Bermuda, the Crown Dependencies, and Mediterranean islands, it will also have access to KPMG’s broader network of 5,000 professionals across the firm’s service lines within the healthcare vertical, including 200 clinicians.
 
Outside healthcare, KPMG continued to rely on its industry consulting know-how to enhance portfolio capabilities around partner-enabled industry accelerators such as with Workday for Retail and Hospitality; with Meta using Meta’s open-source large language model (LLM) Llama to build solutions for internal audit and commercial loan processing, paving the way for opportunities within the financial services vertical; and with Salesforce around the use of Customer 360 solutions for healthcare, among other verticals.
 
TBR views these as important steps that are enabling KPMG to better compete with Big Four rival Deloitte, which has set its Industry Advantage program to drive long-term managed services and feed the Operate part of Deloitte’s business. In a recent conversation with KPMG’s Managed Services leadership, TBR got a chance to hear how KPMG is able to use the KPMG Powered part of its four-part framework — Connected, Powered, Trusted and Elevate — to drive conversations around industry pain points in verticals such as insurance and financial services that have helped generate managed services engagements. Additionally, leaning on strategic growth and delivery partners has helped KPMG demonstrate depth rather deviate from its core capabilities.
 
We expect KPMG’s next growth frontier to come from the firm’s ability to codevelop industry-specific small language models as clients look to take advantage of the power of GenAI without compromising security and privacy by using LLMs based on public data.
 
Graph: 2H24 Est. KPMG Management Consulting Revenue and Growth

Infosys’ Future: Scaling GenAI and SLM Innovation to Drive Growth and Stakeholder Trust

Infosys’ proven engagement and delivery strategies continue to pay off, evidenced by accelerated sales during 4Q24 and an increase in FY25 revenue guidance for the third consecutive quarter. The company’s approach of underpromising and overdelivering, rooted in the company’s humble culture, allows it maintain trust with ecosystem stakeholders while it continues to expand and enhance its portfolio in emerging areas such as agentic AI and industry-aligned small language models (SLMs).
 
Infosys remains well positioned to surpass India-centric peer Cognizant for the No. 2 spot in revenue size, despite the inorganic boost of over $800 million that Cognizant will receive over the next year from its purchase of Belcan. Its’ relentless execution, backed by investments in talent development and partner-enabled solutions, will continue to be the company’s key to success as it gradually increases its share of value-based selling efforts, which are also bolstering its profitability, making otherwise impatient shareholders happy.

Scaling GenAI use cases through the development of prebuilt, industry-specific SLMs, and relying on highly skilled talent and resource management

As noted in TBR’s 4Q24 Infosys Earnings Response report, developing a client-ready AI-first portfolio is not a strategy unique to Infosys, but keeping pace with the rapidly evolving generative AI (GenAI) market highlights the company’s appetite for innovation and helps it strengthen stakeholder trust. Over the past 24 months, a large portion of vendor-client discussions focused on experimenting with developing and running large language models (LLMs), often fed with either public or nonessential data. Growing adoption of the technology has introduced the need for developing SLMs that are either function or industry specific.
 
While cloud-deployed models have far fewer resource constraints, there are still significant drawbacks with an LLM approach. Additionally, LLMs’ massive size leads to downsides in efficiency, cost and customizability, presenting serious hurdles over the long term, especially as contextualization improves. Moreover, when looking at specific use cases, SLMs built to perform particular tasks can outperform broader LLMs. These SLMs can be pretrained on smaller datasets, enabling developers to be more selective with training data and opt only for high-quality data sources pertinent to the desired use case.
 

Find out what’s in store for IT services, cloud, telecom, federal and more markets in 2025 in terms of generative AI (GenAI).

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Ecosystem partners remain a critical component of Infosys’ GenAI strategy

Infosys and NVIDIA co-launched three NVIDIA-enabled GenAI solutions, which, according to Infosys’ press release, use “NVIDIA NIM inference microservices, NVIDIA NeMo Retriever embedding models, and NeMo Guardrails to customize and deploy generative AI telco domain-specific LLM models.” Infosys also launched NVIDIA-enabled SLMs for Infosys Topaz BankingSLM and Infosys Topaz ITOpsSLM, targeting clients through core industry and horizontal offerings and allowing them to use their own data on top of the prebuilt SLMs.
 
Further, Infosys launched the Finacle Data and AI Suite of solutions to support banking clients seeking to enhance IT systems and customer experience using AI. The solutions include Finacle Data Platform, Finacle AI Platform and Finacle Generative AI Offerings. We see these capabilities as a prerequisite to enhance the core Infosys Finacle platform and enable Infosys to remain a formidable competitor in the banking space.
 
Despite the modularity of these offerings, we do not expect the company to change its commercial model and continue to use the suite of offerings to drive services opportunities. Infosys’ SLM portfolio expansion strategy closely mimics the company’s build-out of industry cloud offerings that address client pain points with prebuilt models for specific functions. The difference is the added complexity around building and managing the prebuilt SLM models with their massive number of parameters.
 
Developing and supporting these prebuilt models will require the right-skilled bench and, more importantly, retention programs enabled by unique career paths for programmers who are involved in such tasks. Infosys’ Power Programmers group of engineers consists of highly skilled professionals who are responsible for developing products and ensuring that the intellectual property they create and use meets the cost-saving requirements Infosys pitches to clients. The Power Programmers group is much leaner than the traditional software developers pyramid and resembles the business models that many vendors, including Infosys, may aspire to implement in the future.

Enhancing its chip-to-cloud strategy via acquisitions can bolster cloud performance, but only if Infosys accounts for and aligns with OEM and cloud vendor priorities, including edge and 5G

With its cloud business reaching 30% of Infosys’ total sales and growing 25.1% year-to-year in 4Q24, Infosys continues to invest across its portfolio to expand its addressable market opportunities. For example, Infosys Engineering Services remains among the fastest-growing units within Infosys as the company strives to get closer to product development and minimize GenAI’s disruption of its content distribution and support position.
 
Since the 2020 purchase of Kaleidoscope, which provided a much-needed boost for Infosys to infuse new skills and the IP needed to appeal to the OT buyer, Infosys has enhanced its value proposition to also meet GenAI-infused demand. Infosys’ investments in recent acquisitions including in-tech and InSemi have expanded the company’s addressable market opportunities around product engineering and silicon design services, further strengthening its chip-to-cloud strategy.
 
We do not expect growth of Infosys’ cloud business, Infosys Cobalt, to slow down anytime soon, given the company’s market position for infrastructure migration and managed services as well as its well-run partner strategy with hyperscalers. Adding semiconductor design services bolsters that value proposition as buyers consider whether to use price-attractive CPUs or premium-priced GPU data centers. The latter currently dominates the marketplace, and we expect that trend will not change for at least the next 18 to 24 months. But having semiconductor engineers on its bench can help Infosys start supporting CPU-run models, appealing to more price-sensitive clients.
 
Additionally, expanding its product engineering services also enhances Infosys’ edge and 5G value proposition, which we believe are two of the next frontiers for AI-enabled growth.

 

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What Spectrum Will 6G Use?

The wireless technology ecosystem is rallying around FR3 bands for 6G

The wireless technology ecosystem has settled on the upper midbands, specifically the 7GHz-24GHz range (aka Frequency Range 3 [FR3]). Within FR3, 7GHz-15GHz is considered the golden range for 6G, as it has the best balance between coverage and capacity and 1600MHz of total bandwidth could be made available in the U.S.
 
However, one of the biggest issues with these “golden bands” is the need for communication service providers (CSPs) to coexist with incumbent users, such as government entities and satellite operators, which utilize some of these channels for various purposes and would need to either clear, refarm or share those channels with CSPs for use in cellular communications. The telecom industry already has some experience with shared spectrum through CBRS, which operates in the 3.5GHz band, so there is a pre-existing framework and mechanism in place (i.e., Spectrum Access System) from which to begin establishing a spectrum sharing system for these new bands.
 
Ultimately, TBR believes that 6G will end up leveraging a mix of spectrum tranches, with midband, upper midband and mmWave frequencies all in play. Carrier aggregation and other frequency-combining technologies, as well as advancements in beamforming and endpoint devices, make these spectrum bands perform better when working together. Additionally, FR3 spectrum is not good at penetrating walls. Given that around 80% of wireless traffic is generated indoors — a statistic that is unlikely to change materially in the 6G era — FR3 bands would need to be complemented with lower bands to penetrate walls and provide optimal coverage and capacity.
 

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Limited CSP investment and increased government role expected to shape the next cellular era

The telecom industry continues to struggle with realizing new revenue and deriving ROI from 5G, even after five years of market development. TBR continues to see no solution to this persistent challenge, and with no catalyst on the horizon to change the situation, CSPs’ appetite for and scope of investment in 6G will likely be limited.
 
TBR expects CSP capex investment for 6G will be subdued compared with previous cellular network generations, and deployment of the technology will be more tactical in nature, which is a marked deviation from the multihundred-billion-dollar investments in spectrum and infrastructure associated with the nationwide deployments during each of the prior cellular eras.
 
In a longer-term effort to address this situation, TBR expects the level of government involvement in the cellular networks domain (via stimulus, R&D support, purchases of 6G solutions and other market-influencing mechanisms) to significantly increase and broaden, as 6G has been short-listed as a technology of national strategic importance.
 

Click the image below to watch this recent TBR Insights Live session, 6G: How Government Intervention Will Shape the Next Generation of Telecom

 
With that said, 6G will ultimately happen, and commercial deployment of 6G-branded networks will likely begin in the late 2020s (following the ratification of 3rd Generation Partnership Project [3GPP] Release 21 standards, which is tentatively slated to be complete in 2028). However, it remains to be seen whether 6G will be a brand only or a legitimate set of truly differentiated features and capabilities that bring broad and significant value to CSPs and the global economy.
 
Regardless, the scope of CSPs’ challenges is growing, and governments will need to get involved in a much bigger way to ensure their countries continue to innovate and adopt technologies that are deemed strategically important.
 
 

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AI Agents: What Are They, and How Will They Impact the AI PC Space in 2025?

What are AI agents?

Over the past several quarters, OEMs have focused on incorporating local AI-powered features into their new PC releases, with initial neural processing unit (NPU)-enabled use cases leveraging AI to further enhance collaboration experiences and extend battery life. However, AI agents take the NPU’s functionality a step further, combining the capabilities of large language models (LLMs) with other resources to partially or fully automate a wide range of tasks, including responding to emails, booking hotel stays, or opening and closing IT help desk tickets.
 

LLM-based AI systems have traditionally been programmatic in nature, making them well suited for accomplishing a relatively narrow range of tasks quickly but with a varying degree of accuracy depending on the user’s specific query and how closely it aligns with how the LLM was trained. However, as AI has matured, an increasing number of organizations have invested in the development of compound AI systems, making way for the rise of agentic AI. Compound AI systems, which include AI agents, combine AI models with additional resources such as adjacent AI models, external data sets, web searching capabilities and other APIs to address some of the limitations of programmatic AI systems. This allows AI agents to carry out more complex tasks with a higher degree of accuracy compared to traditional programmatic AI systems, like ChatGPT.
 

Find out what’s in store for AI PCs in 2025, including how built-in AI and neural processing units are shaping the next PC refresh cycle.

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As a general rule, as AI systems become more compound, speed is sacrificed. However, the compound nature of AI agents is what allows them to act on behalf of the user — a key differentiator and the primary value proposition behind agentic AI. Without any human intervention, an AI agent can create several subtasks where it brings in and analyzes data from several sources before determining the next step in the process.
 

It is worth noting that while AI PC agents typically leverage the NPU, most AI PC agents do not operate completely locally, leveraging cloud computing resources.

Proprietary AI agents will become increasingly prevalent in the AI PC space over the next several quarters

Maximizing AI PC appeal through software integration

For OEMs to attract customers to their AI PC offerings, the devices must have software that leverages the power of the NPU in a way that improves performance, productivity and/or security.
 

One of the most important software solutions underpinning the AI PC space is Microsoft Copilot+, which offers a series of generative AI (GenAI) features and experiences for Windows 11 machines leveraging several of Microsoft’s small language models. However, not all Copilot+ functions are run natively on the device, with certain queries going to the cloud, which may lead to security and privacy concerns for some users.
 

To differentiate its AI PC portfolio and bring more AI tasks onto the device itself, Lenovo has developed an agent known as AI Now, which has capabilities such as document management, meeting summarization, device control and content generation. Leveraging a local large language model built with significant collaboration from Meta, AI Now offers enhanced data privacy and enables GenAI features without internet connectivity by allowing users to interact in real time with the device’s personal knowledge base, rather than relying on cloud computing.
 

With the release of its first set of Next-Gen AI PCs in May, HP Inc. announced a similar application to Lenovo’s AI Now, named HP AI Companion. Available for download on any HP AI PC with a 40-60 TOPS (trillion operations per second) NPU, the application leverages OpenAI’s GPT-4 model to bring AI tasks such as performance optimization, document summarization and content generation onto the device.
 

Click the image below to watch our latest devices TBR Insights Live session, AI PCs in 2025: Unlocking Mass Appeal and Overcoming Market Challenges

 

AI agents as differentiators in the AI PC market

We expect to see these offerings become increasingly central to the AI PC space over the next several months, with vendors tapping into buyers’ concerns about data privacy related to cloud computing in order to promote their own proprietary AI agents. Vendors will continue to position these agents as complements to Microsoft’s Copilot+, rather than replacements, as they will shy away both from attempting to compete with Copilot+ and other cloud-based offerings and from alienating Microsoft, a vital partner when it comes to AI.
 

Overall, these agents are currently being more heavily marketed toward commercial customers, as that subsegment of the market is generally more strategically valuable to OEMs because of commercial PCs’ higher average revenue per unit (ARPU) and attach rates for peripherals and services.
 

However, TBR expects these agents to gain traction in the consumer AI PC space as well, especially as they include features useful to all users, such as performance optimization and increased security, as well as those designed specifically for enhancing workplace productivity. Ultimately, TBR believes the extent to which vendors can educate users on when and how to use specific AI tools will determine the level of adoption of individual AI tools. The availability of multiple tools on the PC is likely to lead to confusion.
 

Similar to AI PC OEMs, smartphone vendors are becoming increasingly invested in baking AI into their devices to enhance the devices’ value and accelerate the refresh cycle. Many of these features revolve around photo and video editing software, such as Google’s Magic Editor and Photo Unblur, as well as notification and document summarization. Personal agents that allow the user to navigate their device through voice commands and natural-language text such as Apple’s Siri are also popular.
 

Smartphone vendors are also combining on-device and cloud-based AI processing when building out the functionality of these devices, with the recently released Apple Intelligence platform being the most prominent example. When possible, queries are processed on the device through the NPU built into Apple’s proprietary chips, while queries that are more complex are sent to the cloud through the company’s Private Cloud Compute system. TBR expects that this hybrid model will increase in popularity as devices vendors balance greater AI functionality with data privacy and security.

 

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