A total of 15 large-size vendors are featured in the PeMa Quadrant study.
Finding 1 of 5
PeMa Quadrant · 1st edition · Published March 18, 2026
Top Large-Size Data Science Service Providers 2026
15 vendors evaluated on market penetration and technology maturity. 10 qualify as Leaders, and buyers should treat the placements as one input alongside their own RFP criteria, capability gaps and delivery needs.
15
Vendors evaluated
10
Leaders
10 Leaders · 4 Seasoned · 1 Challengers
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The PeMa Quadrant
Where all 15 vendors landed
Hover a dot for the vendor, click to open its passport.
Technology maturity →
SeasonedLeadersChallengersGrowth
Market penetration →
2026
What the report finds
Five shifts buyers should know
Process reimagination is emerging as the most ambitious work pattern.
Work is predominantly embedded, not standalone, in transformation programs.
Regulated industry programs dominate the highest-value work.
IT-OT convergence is a distinct and growing work category.
Vendors evaluated
All 15 vendors, and how they moved
| Vendor | Placement | Headquarters | Vendor passport |
|---|---|---|---|
| Accenture | Leaders | Dublin, Ireland | Passport → |
| Capgemini | Leaders | Paris, France | Passport → |
| EY | Leaders | London, UK | Passport → |
| Fujitsu | Leaders | Kanagawa, Japan | Passport → |
| Genpact | Leaders | New York, USA | Passport → |
| Hitachi Digital Services | Leaders | California, United States | Passport → |
| Infosys | Leaders | Bengaluru, Karnataka, India | Passport → |
| NTT Data | Leaders | Tokyo, Japan | Passport → |
| TCS | Leaders | Mumbai, Maharashtra, India | Passport → |
| Wipro | Leaders | Bengaluru, Karnataka, India | Passport → |
| CGI | Seasoned | Montreal, Canada | Passport → |
| DXC Technology | Seasoned | Virginia, United States | Passport → |
| HCL Technologies (HCLTech) | Seasoned | Noida, Uttar Pradesh, India | Passport → |
| Tech Mahindra | Seasoned | Pune, Maharashtra | Passport → |
| Kyndryl | Challengers | New York, United States | Passport → |
AccentureLeaders
Capgemini Leaders
EYLeaders
FujitsuLeaders
GenpactLeaders
Hitachi Digital ServicesLeaders
InfosysLeaders
NTT DataLeaders
TCSLeaders
WiproLeaders
CGISeasoned
DXC TechnologySeasoned
HCL Technologies (HCLTech)Seasoned
Tech MahindraSeasoned
KyndrylChallengers
Showing 10 of 15 ·
Abstract
The AIM Research report titled 'Top Large-Size Data Science Service Providers 2026' evaluates major data science service providers with annual revenues exceeding USD 5 billion.
The report uses the Penetration Maturity (PeMa) Quadrant to assess vendors based on market penetration and technology maturity. It identifies 15 large vendors and evaluates them on criteria such as delivery scale, financial health, customer confidence, and technology advancement. The report highlights the shift in the data science services market from capability expansion to structural repositioning, driven by the integration of GenAI, Agentic AI, and traditional machine learning. It notes that data science is increasingly embedded within larger transformation programs rather than standalone projects. Key use cases include financial crime detection, predictive maintenance, and supply chain analytics. The report also discusses the evolving partnership ecosystem, emphasizing the role of cloud hyperscalers, AI platforms, and domain-specific accelerators in delivering data science services. The methodology involves analyzing publicly available information and vendor-submitted materials, supplemented by client feedback.
Methodology
How vendors were scored
The research was conducted by evaluating vendors based on market penetration and technology maturity, using publicly available information, vendor-submitted materials, and structured client feedback.
X axis
Market penetration
- Delivery scale
- Financial health
- Customer mindshare
Y axis
Technology maturity
- Technical innovation
- Value realisation
- DataOps depth
The research was conducted by evaluating vendors based on market penetration and technology maturity, using publicly available information, vendor-submitted materials, and structured client feedback. Vendors were assessed on delivery scale, financial health, customer confidence, and technology advancement. The study involved analyzing case studies and deployment evidence across various industries, supplemented by briefing calls and additional materials shared by vendors.
Editions
One years of this market
Every edition of the Data Science Service Providers PeMa Quadrant since it began in 2026.
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Frequently asked questions
The PeMa (Penetration and Maturity) Quadrant is AIM Research's 2x2 vendor evaluation framework. It measures each provider's market penetration (clients, deal sizes, geographic spread) and technology maturity (capabilities, platforms, partnerships), and places them as Leaders, Seasoned Vendors, Growth Vendors or Challengers.
Any enterprise technology vendor active in the relevant market category can request to participate. AIM Research issues an open RFI for each study and invites qualifying vendors via the Research Calendar.
Vendors are evaluated through a structured RFI process backed by primary research, including vendor briefings, customer references and product evaluations. They are scored across 40+ weighted criteria covering product capabilities, strategy and market impact, and the weighted scores are mapped to one of the four quadrant positions.
The date of the next edition has not been announced yet. Upcoming studies and their RFI windows are listed on the AIM Research Calendar.
Providers were evaluated on delivery scale, financial health, growth, customer confidence, and company outreach for market penetration, and on work delivery, tech advancement, employee maturity, and support infrastructure for technology maturity.
The market is shifting from capability expansion to structural repositioning, with a focus on integrating GenAI, Agentic AI, and traditional machine learning into delivery systems rather than treating them as separate service lines.
Key use cases include financial crime detection, predictive maintenance, supply chain analytics, customer analytics, and clinical and health analytics, with a focus on embedding data science within larger transformation programs.